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Sample records for allele-specific genetic interactions

  1. Allele-specific chemical genetics: concept, strategies, and applications.

    PubMed

    Islam, Kabirul

    2015-02-20

    The relationship between DNA and protein sequences is well understood, yet because the members of a protein family/subfamily often carry out the same biochemical reaction, elucidating their individual role in cellular processes presents a challenge. Forward and reverse genetics have traditionally been employed to understand protein functions with considerable success. A fundamentally different approach that has gained widespread application is the use of small organic molecules, known as chemical genetics. However, the slow time-scale of genetics and inherent lack of specificity of small molecules used in chemical genetics have limited the applicability of these methods in deconvoluting the role of individual proteins involved in fast, dynamic biological events. Combining the advantages of both the techniques, the specificity achieved with genetics along with the reversibility and tunability of chemical genetics, has led to the development of a powerful approach to uncover protein functions in complex biological processes. This technique is known as allele-specific chemical genetics and is rapidly becoming an essential toolkit to shed light on proteins and their mechanism of action. The current review attempts to provide a comprehensive description of this approach by discussing the underlying principles, strategies, and successful case studies. Potential future implications of this technology in expanding the frontiers of modern biology are discussed.

  2. AHR promoter variant modulates its transcription and downstream effectors by allele-specific AHR-SP1 interaction functioning as a genetic marker for vitiligo.

    PubMed

    Wang, Xiaowen; Li, Kai; Liu, Ling; Shi, Qiong; Song, Pu; Jian, Zhe; Guo, Sen; Wang, Gang; Li, Chunying; Gao, Tianwen

    2015-09-15

    Vitiligo is an acquired depigmentation disorder largely caused by defective melanocyte- or autoimmunity-induced melanocyte destruction. The aryl hydrocarbon receptor (AHR) is essential for melanocyte homeostasis and immune process, and abnormal AHR was observed in vitiligo. We previously identified the T allele of AHR -129C > T variant as a protective factor against vitiligo. However, biological characterization underlying such effects is not fully certain, further validation by mechanistic research is warranted and was conducted in the present study. We showed that -129T allele promoted AHR transcriptional activity through facilitating its interaction with SP1 transcription factor (SP1) compared with -129C allele. We subsequently found reduced peripheral AHR and SP1 transcript expressions in vitiligo and a negative correlation of AHR level with disease duration. We also investigated AHR-related cytokines and observed increased serum TNF-α concentration and diminished serum levels of IL-10 and TGF-β1 in vitiligo. Further genetic analysis showed that -129T carriers possessed higher levels of AHR and IL-10 than -129C carriers. Therefore, our study indicates that the modulation of AHR transcription by a promoter variant has a profound influence on vitiligo, not only advancing our understanding on AHR function but also providing novel insight into the pathogenesis of degenerative or autoimmune diseases including vitiligo.

  3. Allele-Specific Interactions between CAST AWAY and NEVERSHED Control Abscission in Arabidopsis Flowers.

    PubMed

    Groner, William D; Christy, Megan E; Kreiner, Catherine M; Liljegren, Sarah J

    2016-01-01

    An advantage of analyzing abscission in genetically tractable model plants is the ability to make use of classic genetic tools such as suppression analysis. We have investigated the regulation of organ abscission by carrying out suppression analysis in Arabidopsis flowers. Plants carrying mutations in the NEVERSHED (NEV) gene, which encodes an ADP-ribosylation factor GTPase-activating protein, retain their outer floral organs after fertilization. Mutant alleles of CAST AWAY (CST), which encodes a receptor-like cytoplasmic kinase, were found to restore organ abscission in nev flowers in an allele-specific manner. To further explore the basis of the interactions between CST and NEV, we tested whether the site of a nev mutation is predictive of its ability to be suppressed. Our results suggest instead that the strength of a nev allele influences whether organ abscission can be rescued by a specific allele of CST.

  4. Allele-specific FKBP5 DNA demethylation mediates gene–childhood trauma interactions

    PubMed Central

    Klengel, Torsten; Mehta, Divya; Anacker, Christoph; Rex-Haffner, Monika; Pruessner, Jens C; Pariante, Carmine M; Pace, Thaddeus W W; Mercer, Kristina B; Mayberg, Helen S; Bradley, Bekh; Nemeroff, Charles B; Holsboer, Florian; Heim, Christine M; Ressler, Kerry J; Rein, Theo; Binder, Elisabeth B

    2014-01-01

    Although the fact that genetic predisposition and environmental exposures interact to shape development and function of the human brain and, ultimately, the risk of psychiatric disorders has drawn wide interest, the corresponding molecular mechanisms have not yet been elucidated. We found that a functional polymorphism altering chromatin interaction between the transcription start site and long-range enhancers in the FK506 binding protein 5 (FKBP5) gene, an important regulator of the stress hormone system, increased the risk of developing stress-related psychiatric disorders in adulthood by allele-specific, childhood trauma–dependent DNA demethylation in functional glucocorticoid response elements of FKBP5. This demethylation was linked to increased stress-dependent gene transcription followed by a long-term dysregulation of the stress hormone system and a global effect on the function of immune cells and brain areas associated with stress regulation. This identification of molecular mechanisms of genotype-directed long-term environmental reactivity will be useful for designing more effective treatment strategies for stress-related disorders. PMID:23201972

  5. Allele-specific chromatin immunoprecipitation studies show genetic influence on chromatin state in human genome.

    PubMed

    Kadota, Mitsutaka; Yang, Howard H; Hu, Nan; Wang, Chaoyu; Hu, Ying; Taylor, Philip R; Buetow, Kenneth H; Lee, Maxwell P

    2007-05-18

    Several recent studies have shown a genetic influence on gene expression variation, including variation between the two chromosomes within an individual and variation between individuals at the population level. We hypothesized that genetic inheritance may also affect variation in chromatin states. To test this hypothesis, we analyzed chromatin states in 12 lymphoblastoid cells derived from two Centre d'Etude du Polymorphisme Humain families using an allele-specific chromatin immunoprecipitation (ChIP-on-chip) assay with Affymetrix 10K SNP chip. We performed the allele-specific ChIP-on-chip assays for the 12 lymphoblastoid cells using antibodies targeting at RNA polymerase II and five post-translation modified forms of the histone H3 protein. The use of multiple cell lines from the Centre d'Etude du Polymorphisme Humain families allowed us to evaluate variation of chromatin states across pedigrees. These studies demonstrated that chromatin state clustered by family. Our results support the idea that genetic inheritance can determine the epigenetic state of the chromatin as shown previously in model organisms. To our knowledge, this is the first demonstration in humans that genetics may be an important factor that influences global chromatin state mediated by histone modification, the hallmark of the epigenetic phenomena.

  6. Allele-specific methylation occurs at genetic variants associated with complex disease.

    PubMed

    Hutchinson, John N; Raj, Towfique; Fagerness, Jes; Stahl, Eli; Viloria, Fernando T; Gimelbrant, Alexander; Seddon, Johanna; Daly, Mark; Chess, Andrew; Plenge, Robert

    2014-01-01

    We hypothesize that the phenomenon of allele-specific methylation (ASM) may underlie the phenotypic effects of multiple variants identified by Genome-Wide Association studies (GWAS). We evaluate ASM in a human population and document its genome-wide patterns in an initial screen at up to 380,678 sites within the genome, or up to 5% of the total genomic CpGs. We show that while substantial inter-individual variation exists, 5% of assessed sites show evidence of ASM in at least six samples; the majority of these events (81%) are under genetic influence. Many of these cis-regulated ASM variants are also eQTLs in peripheral blood mononuclear cells and monocytes and/or in high linkage-disequilibrium with variants linked to complex disease. Finally, focusing on autoimmune phenotypes, we extend this initial screen to confirm the association of cis-regulated ASM with multiple complex disease-associated variants in an independent population using next-generation bisulfite sequencing. These four variants are implicated in complex phenotypes such as ulcerative colitis and AIDS progression disease (rs10491434), Celiac disease (rs2762051), Crohn's disease, IgA nephropathy and early-onset inflammatory bowel disease (rs713875) and height (rs6569648). Our results suggest cis-regulated ASM may provide a mechanistic link between the non-coding genetic changes and phenotypic variation observed in these diseases and further suggests a route to integrating DNA methylation status with GWAS results.

  7. Molecular genetic mechanisms of allelic specific regulation of murine Comt expression

    PubMed Central

    Segall, Samantha K.; Shabalina, Svetlana A.; Meloto, Carolina B.; Wen, Xia; Cunningham, Danielle; Tarantino, Lisa M.; Wiltshire, Tim; Gauthier, Josée; Tohyama, Sarasa; Martin, Loren J.; Mogil, Jeffrey S.; Diatchenko, Luda

    2015-01-01

    Abstract A functional allele of the mouse catechol-O-methyltransferase (Comt) gene is defined by the insertion of a B2 short interspersed repeat element in its 3′-untranslated region (UTR). This allele has been associated with a number of phenotypes, such as pain and anxiety. In comparison with mice carrying the ancestral allele (Comt+), ComtB2i mice show higher Comt mRNA and enzymatic activity levels. Here, we investigated the molecular genetic mechanisms underlying this allelic specific regulation of Comt expression. Insertion of the B2 element introduces an early polyadenylation signal generating a shorter Comt transcript, in addition to the longer ancestral mRNA. Comparative analysis and in silico prediction of Comt mRNA potential targets within the transcript 3′ to the B2 element was performed and allowed choosing microRNA (miRNA) candidates for experimental screening: mmu-miR-3470a, mmu-miR-3470b, and mmu-miR-667. Cell transfection with each miRNA downregulated the expression of the ancestral transcript and COMT enzymatic activity. Our in vivo experiments showed that mmu-miR-667-3p is strongly correlated with decreasing amounts of Comt mRNA in the brain, and lentiviral injections of mmu-miR-3470a, mmu-miR-3470b, and mmu-miR-667 increase hypersensitivity in the mouse formalin model, consistent with reduced COMT activity. In summary, our data demonstrate that the Comt+ transcript contains regulatory miRNA signals in its 3′-untranslated region leading to mRNA degradation; these signals, however, are absent in the shorter transcript, resulting in higher mRNA expression and activity levels. PMID:26067582

  8. Allele Workbench: transcriptome pipeline and interactive graphics for allele-specific expression.

    PubMed

    Soderlund, Carol A; Nelson, William M; Goff, Stephen A

    2014-01-01

    Sequencing the transcriptome can answer various questions such as determining the transcripts expressed in a given species for a specific tissue or condition, evaluating differential expression, discovering variants, and evaluating allele-specific expression. Differential expression evaluates the expression differences between different strains, tissues, and conditions. Allele-specific expression evaluates expression differences between parental alleles. Both differential expression and allele-specific expression have been studied for heterosis (hybrid vigor), where the hybrid has improved performance over the parents for one or more traits. The Allele Workbench software was developed for a heterosis study that evaluated allele-specific expression for a mouse F1 hybrid using libraries from multiple tissues with biological replicates. This software has been made into a distributable package, which includes a pipeline, a Java interface to build the database, and a Java interface for query and display of the results. The required input is a reference genome, annotation file, and one or more RNA-Seq libraries with optional replicates. It evaluates allelic imbalance at the SNP and transcript level and flags transcripts with significant opposite directional allele-specific expression. The Java interface allows the user to view data from libraries, replicates, genes, transcripts, exons, and variants, including queries on allele imbalance for selected libraries. To determine the impact of allele-specific SNPs on protein folding, variants are annotated with their effect (e.g., missense), and the parental protein sequences may be exported for protein folding analysis. The Allele Workbench processing results in transcript files and read counts that can be used as input to the previously published Transcriptome Computational Workbench, which has a new algorithm for determining a trimmed set of gene ontology terms. The software with demo files is available from https

  9. Diverse Non-genetic, Allele-Specific Expression Effects Shape Genetic Architecture at the Cellular Level in the Mammalian Brain.

    PubMed

    Huang, Wei-Chao; Ferris, Elliott; Cheng, Tong; Hörndli, Cornelia Stacher; Gleason, Kelly; Tamminga, Carol; Wagner, Janice D; Boucher, Kenneth M; Christian, Jan L; Gregg, Christopher

    2017-03-08

    Interactions between genetic and epigenetic effects shape brain function, behavior, and the risk for mental illness. Random X inactivation and genomic imprinting are epigenetic allelic effects that are well known to influence genetic architecture and disease risk. Less is known about the nature, prevalence, and conservation of other potential epigenetic allelic effects in vivo in the mouse and primate brain. Here we devise genomics, in situ hybridization, and mouse genetics strategies to uncover diverse allelic effects in the brain that are not caused by imprinting or genetic variation. We found allelic effects that are developmental stage and cell type specific, that are prevalent in the neonatal brain, and that cause mosaics of monoallelic brain cells that differentially express wild-type and mutant alleles for heterozygous mutations. Finally, we show that diverse non-genetic allelic effects that impact mental illness risk genes exist in the macaque and human brain. Our findings have potential implications for mammalian brain genetics. VIDEO ABSTRACT.

  10. Allele-Specific Suppression by Formation of New Protein-Protein Interactions in Yeast

    PubMed Central

    Sandrock, T. M.; O'Dell, J. L.; Adams, AEM.

    1997-01-01

    Yeast fimbrin is encoded by the SAC6 gene, mutations of which suppress temperature-sensitive mutations in the actin gene (ACT1). To examine the mechanism of suppression, we have conducted a biochemical analysis of the interaction between various combinations of wild-type and mutant actin and Sac6 proteins. Previously, we showed that actin mutations that are suppressed by sac6 mutations encode proteins with a reduced affinity for wild-type Sac6p. In the present study, we have found that mutant Sac6 proteins bind more tightly to mutant actin than does wild-type Sac6p, and thus compensate for weakened interactions caused by the mutant actin. Remarkably, we have also found that mutant Sac6 proteins bind more tightly to wild-type actin than does wild-type Sac6p. This result indicates that suppression does not occur through the restoration of the original contact site, but rather through the formation of a novel contact site. This finding argues against suppression occurring through a ``lock-and-key'' mechanism and suggests a mechanism involving more global increases in affinity between the two proteins. We propose that the most common kind of suppressors involving interacting proteins will likely occur through this less specific mechanism. PMID:9409826

  11. Regulatory hierarchy of photomorphogenic loci: allele-specific and light-dependent interaction between the HY5 and COP1 loci.

    PubMed Central

    Ang, L H; Deng, X W

    1994-01-01

    Previous studies suggested that the CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1) gene product represses photomorphogenic development in darkness and that light signals reverse this action. In this report, we used genetic analysis to investigate the regulatory hierarchical relationship of COP1 and the loci encoding the photoreceptors and other signaling components. Our results showed that cop1 mutations are epistatic to the long hypocotyl mutations hy1, hy2, hy3, and hy4, suggesting that COP1 acts downstream of the phytochromes and a blue light receptor. Although epistasis of a putative null cop1-5 mutation over a hy5 mutation implied that COP1 acts downstream of HY5, the same hy5 mutation can suppress the dark photomorphogenic phenotypes (including hypocotyl elongation and cotyledon cellular differentiation) of the weak cop1-6 mutation. This, and other allele-specific interactions between COP1 and HY5, may suggest direct physical contact of their gene products. In addition, the synthetic lethality of the weak deetiolated1 (det1) and cop1 mutations and the fact that the cop1-6 mutation is epistatic to the det1-1 mutation with respect to light control of seed germination and dark-adaptative gene expression suggested that DET1 and COP1 may act in the same pathway, with COP1 being downstream. These results, together with previous epistasis studies, support models in which light signals, once perceived by different photoreceptors, converge downstream and act through a common cascade(s) of regulatory steps, as defined by DET1, HY5, COP1, and likely others, to derepress photomorphogenic development. PMID:8038602

  12. Fully automated sample preparation microsystem for genetic testing of hereditary hearing loss using two-color multiplex allele-specific PCR.

    PubMed

    Zhuang, Bin; Gan, Wupeng; Wang, Shuaiqin; Han, Junping; Xiang, Guangxin; Li, Cai-Xia; Sun, Jing; Liu, Peng

    2015-01-20

    A fully automated microsystem consisting of a disposable DNA extraction and PCR microchip, as well as a compact control instrument, has been successfully developed for genetic testing of hereditary hearing loss from human whole blood. DNA extraction and PCR were integrated into a single 15-μL reaction chamber, where a piece of filter paper was embedded for capturing genomic DNA, followed by in-situ PCR amplification without elution. Diaphragm microvalves actuated by external solenoids together with a "one-way" fluidic control strategy operated by a modular valve positioner and a syringe pump were employed to control the fluids and to seal the chamber during thermal cycling. Fully automated DNA extractions from as low as 0.3-μL human whole blood followed by amplifications of 59-bp β-actin fragments can be completed on the microsystem in about 100 min. Negative control tests that were performed between blood sample analyses proved the successful elimination of any contamination or carryover in the system. To more critically test the microsystem, a two-color multiplex allele-specific PCR (ASPCR) assay for detecting c.176_191del16, c.235delC, and c.299_300delAT mutations in GJB2 gene that accounts for hereditary hearing loss was constructed. Two allele-specific primers, one labeled with TAMRA for wild type and the other with FAM for mutation, were designed for each locus. DNA extraction from blood and ASPCR were performed on the microsystem, followed by an electrophoretic analysis on a portable microchip capillary electrophoresis system. Blood samples from a healthy donor and five persons with genetic mutations were all accurately analyzed with only two steps in less than 2 h.

  13. Molecular genetic survey of European mistletoe (Viscum album) subspecies with allele-specific and dCAPS type markers specific for chloroplast and nuclear DNA sequences.

    PubMed

    Piotrowski, Arkadiusz; Ochocka, J Renata; Stefanowicz, Justyna; ŁUczkiewicz, Maria

    2003-10-01

    The qualitative and quantitative content of mistletoe metabolites, and bioactivity of extracts is related to the subspecies of Viscum album L. These were indicated to be genetically distinct and host specific. We aimed to check (i) whether the specificity is strict and (ii) how frequently hybridization occurs among the subspecies. We designed two sets of allele-specific and dCAPS molecular genetic markers that would facilitate identification of Viscum album L. subspecies and their hybrid derivatives on the basis of chloroplast trnH(GUG)- trnK(UUU) and nuclear rDNA ITS1&2 sequences. Out of 118 plants surveyed, 103 displayed characteristics that confirmed strict host specificity of the subspecies, in addition, the results were compliant between nuclear and chloroplast markers showing no indication of hybridization among subspecies. From 15 samples that showed deviations from this model 13 came from the Mediterranean Sea basin, and only two originated from Central and Western Europe. Abbreviations. dCAPS:derived Cleaved Amplified Polymorphic Sequence ITS1&2:Internal Transcribed Spacers 1&2 MAMA:Mismatch Amplification Mutation Assay

  14. Analysis of Allele-Specific Expression in Mouse Liver by RNA-Seq: A Comparison With Cis-eQTL Identified Using Genetic Linkage

    PubMed Central

    Lagarrigue, Sandrine; Martin, Lisa; Hormozdiari, Farhad; Roux, Pierre-François; Pan, Calvin; van Nas, Atila; Demeure, Olivier; Cantor, Rita; Ghazalpour, Anatole; Eskin, Eleazar; Lusis, Aldons J.

    2013-01-01

    We report an analysis of allele-specific expression (ASE) and parent-of-origin expression in adult mouse liver using next generation sequencing (RNA-Seq) of reciprocal crosses of heterozygous F1 mice from the parental strains C57BL/6J and DBA/2J. We found a 60% overlap between genes exhibiting ASE and putative cis-acting expression quantitative trait loci (cis-eQTL) identified in an intercross between the same strains. We discuss the various biological and technical factors that contribute to the differences. We also identify genes exhibiting parental imprinting and complex expression patterns. Our study demonstrates the importance of biological replicates to limit the number of false positives with RNA-Seq data. PMID:24026101

  15. Allele-specific interactions between the yeast RFC1 and RFC5 genes suggest a basis for RFC subunit-subunit interactions.

    PubMed

    Beckwith, W; McAlear, M A

    2000-11-01

    Replication factor C (RFC) is an essential, multi-subunit ATPase that functions in DNA replication, DNA repair, and DNA metabolism-related checkpoints. In order to investigate how the individual RFC subunits contribute to these functions in vivo, we undertook a genetic analysis of RFC genes from budding yeast. We isolated and characterized mutations in the RFC5 gene that could suppress the cold-sensitive phenotype of rfc1-1 mutants. Analysis of the RFC5 suppressors revealed that they could not suppress the elongated telomere phenotype, the sensitivity to DNA damaging agents, or the mutator phenotype of rfc1-1 mutants. Unlike the checkpoint-defective rfc5-1 mutation, the RFC5 suppressor mutations did not interfere with the methylmethane sulfonate- or hydroxyurea-induced phosphorylation of Rad53p. The Rfc5p suppressor substitutions mapped to amino acid positions in the conserved RFC box motifs IV-VII. Comparisons of the structures of related RFC box-containing proteins suggest that these RFC motifs may function to coordinate interactions between neighboring subunits of multi-subunit ATPases.

  16. Allele-specific DNA methylation: beyond imprinting.

    PubMed

    Tycko, Benjamin

    2010-10-15

    Allele-specific DNA methylation (ASM) and allele-specific gene expression (ASE) have long been studied in genomic imprinting and X chromosome inactivation. But these types of allelic asymmetries, along with allele-specific transcription factor binding (ASTF), have turned out to be far more pervasive-affecting many non-imprinted autosomal genes in normal human tissues. ASM, ASE and ASTF have now been mapped genome-wide by microarray-based methods and NextGen sequencing. Multiple studies agree that all three types of allelic asymmetries, as well as the related phenomena of expression and methylation quantitative trait loci, are mostly accounted for by cis-acting regulatory polymorphisms. The precise mechanisms by which this occurs are not yet understood, but there are some testable hypotheses and already a few direct clues. Future challenges include achieving higher resolution maps to locate the epicenters of cis-regulated ASM, using this information to test mechanistic models, and applying genome-wide maps of ASE/ASM/ASTF to pinpoint functional regulatory polymorphisms influencing disease susceptibility.

  17. Fine mapping of QTL and genomic prediction using allele-specific expression SNPs demonstrates that the complex trait of genetic resistance to Marek’s disease is predominantly determined by transcriptional regulation

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The hypothesis that polymorphisms associated with transcriptional regulation are critical for viral disease resistance was tested by selecting birds using SNPs exhibiting allele-specific expression (ASE) in response to viral challenge. Analysis indicates ASE markers account for 83% of the disease re...

  18. SNP-Based Quantification of Allele-Specific DNA Methylation Patterns by Pyrosequencing®.

    PubMed

    Busato, Florence; Tost, Jörg

    2015-01-01

    The analysis of allele-specific DNA methylation patterns has recently attracted much interest as loci of allele-specific DNA methylation overlap with known risk loci for complex diseases and the analysis might contribute to the fine-mapping and interpretation of non-coding genetic variants associated with complex diseases and improve the understanding between genotype and phenotype. In the presented protocol, we present a method for the analysis of DNA methylation patterns on both alleles separately using heterozygous Single Nucleotide Polymorphisms (SNPs) as anchor for allele-specific PCR amplification followed by analysis of the allele-specific DNA methylation patterns by Pyrosequencing(®). Pyrosequencing is an easy-to-handle, quantitative real-time sequencing method that is frequently used for genotyping as well as for the analysis of DNA methylation patterns. The protocol consists of three major steps: (1) identification of individuals heterozygous for a SNP in a region of interest using Pyrosequencing; (2) analysis of the DNA methylation patterns surrounding the SNP on bisulfite-treated DNA to identify regions of potential allele-specific DNA methylation; and (3) the analysis of the DNA methylation patterns associated with each of the two alleles, which are individually amplified using allele-specific PCR. The enrichment of the targeted allele is re-enforced by modification of the allele-specific primers at the allele-discriminating base with Locked Nucleic Acids (LNA). For the proof-of-principle of the developed approach, we provide assay details for three imprinted genes (IGF2, IGF2R, and PEG3) within this chapter. The mean of the DNA methylation patterns derived from the individual alleles corresponds well to the overall DNA methylation patterns and the developed approach proved more reliable compared to other protocols for allele-specific DNA methylation analysis.

  19. A majority of Huntington's disease patients may be treatable by individualized allele-specific RNA interference.

    PubMed

    Lombardi, Maria Stella; Jaspers, Leonie; Spronkmans, Christine; Gellera, Cinzia; Taroni, Franco; Di Maria, Emilio; Donato, Stefano Di; Kaemmerer, William F

    2009-06-01

    Use of RNA interference to reduce huntingtin protein (htt) expression in affected brain regions may provide an effective treatment for Huntington disease (HD), but it remains uncertain whether suppression of both wild-type and mutant alleles in a heterozygous patient will provide more benefit than harm. Previous research has shown suppression of just the mutant allele is achievable using siRNA targeted to regions of HD mRNA containing single nucleotide polymorphisms (SNPs). To determine whether more than a minority of patients may be eligible for an allele-specific therapy, we genotyped DNA from 327 unrelated European Caucasian HD patients at 26 SNP sites in the HD gene. Over 86% of the patients were found to be heterozygous for at least one SNP among those tested. Because the sites are genetically linked, one cannot use the heterozygosity rates of the individual SNPs to predict how many sites (and corresponding allele-specific siRNA) would be needed to provide at least one treatment possibility for this percentage of patients. By computing all combinations, we found that a repertoire of allele-specific siRNA corresponding to seven sites can provide at least one allele-specific siRNA treatment option for 85.6% of our sample. Moreover, we provide evidence that allele-specific siRNA targeting these sites are readily identifiable using a high throughput screening method, and that allele-specific siRNA identified using this method indeed show selective suppression of endogenous mutant htt protein in fibroblast cells from HD patients. Therefore, allele-specific siRNA are not so rare as to be impractical to find and use therapeutically.

  20. Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans

    PubMed Central

    McDaniell, Ryan; Lee, Bum-Kyu; Song, Lingyun; Liu, Zheng; Boyle, Alan P.; Erdos, Michael R.; Scott, Laura J.; Morken, Mario A.; Kucera, Katerina S.; Battenhouse, Anna; Keefe, Damian; Collins, Francis S.; Willard, Huntington F.; Lieb, Jason D.; Furey, Terrence S.; Crawford, Gregory E.; Iyer, Vishwanath R.; Birney, Ewan

    2010-01-01

    The extent to which variation in chromatin structure and transcription factor binding may influence gene expression, and thus underlie or contribute to variation in phenotype, is unknown. To address this question, we cataloged both individual-to-individual variation and differences between homologous chromosomes within the same individual (allele-specific variation) in chromatin structure and transcription factor binding in lymphoblastoid cells derived from individuals of geographically diverse ancestry. Ten percent of active chromatin sites were individual-specific; a similar proportion were allele-specific. Both individual-specific and allele-specific sites were commonly transmitted from parent to child, which suggests that they are heritable features of the human genome. Our study shows that heritable chromatin status and transcription factor binding differ as a result of genetic variation and may underlie phenotypic variation in humans. PMID:20299549

  1. High-throughput allele-specific expression across 250 environmental conditions

    PubMed Central

    Moyerbrailean, Gregory A.; Richards, Allison L.; Kurtz, Daniel; Kalita, Cynthia A.; Davis, Gordon O.; Harvey, Chris T.; Alazizi, Adnan; Watza, Donovan; Sorokin, Yoram; Hauff, Nancy; Zhou, Xiang; Wen, Xiaoquan; Pique-Regi, Roger; Luca, Francesca

    2016-01-01

    Gene-by-environment (GxE) interactions determine common disease risk factors and biomedically relevant complex traits. However, quantifying how the environment modulates genetic effects on human quantitative phenotypes presents unique challenges. Environmental covariates are complex and difficult to measure and control at the organismal level, as found in GWAS and epidemiological studies. An alternative approach focuses on the cellular environment using in vitro treatments as a proxy for the organismal environment. These cellular environments simplify the organism-level environmental exposures to provide a tractable influence on subcellular phenotypes, such as gene expression. Expression quantitative trait loci (eQTL) mapping studies identified GxE interactions in response to drug treatment and pathogen exposure. However, eQTL mapping approaches are infeasible for large-scale analysis of multiple cellular environments. Recently, allele-specific expression (ASE) analysis emerged as a powerful tool to identify GxE interactions in gene expression patterns by exploiting naturally occurring environmental exposures. Here we characterized genetic effects on the transcriptional response to 50 treatments in five cell types. We discovered 1455 genes with ASE (FDR < 10%) and 215 genes with GxE interactions. We demonstrated a major role for GxE interactions in complex traits. Genes with a transcriptional response to environmental perturbations showed sevenfold higher odds of being found in GWAS. Additionally, 105 genes that indicated GxE interactions (49%) were identified by GWAS as associated with complex traits. Examples include GIPR–caffeine interaction and obesity and include LAMP3–selenium interaction and Parkinson disease. Our results demonstrate that comprehensive catalogs of GxE interactions are indispensable to thoroughly annotate genes and bridge epidemiological and genome-wide association studies. PMID:27934696

  2. Interactive Genetics Tutorial Project.

    ERIC Educational Resources Information Center

    Wisconsin Univ., Madison. Dept. of Curriculum and Instruction.

    The Interactive Genetics Tutorial (IGT) project and the Intelligent Tutoring System for the IGT project named MENDEL supplement genetics instruction in biology courses by providing students with experience in designing, conducting, and evaluating genetics experiments. The MENDEL software is designed to: (1) simulate genetics experiments that…

  3. Pmp22 mutant allele-specific siRNA alleviates demyelinating neuropathic phenotype in vivo.

    PubMed

    Lee, Ji-Su; Chang, Eun Hyuk; Koo, Ok Jae; Jwa, Dong Hwan; Mo, Won Min; Kwak, Geon; Moon, Hyo Won; Park, Hwan Tae; Hong, Young Bin; Choi, Byung-Ok

    2017-04-01

    Charcot-Marie-Tooth disease (CMT) is a genetic disorder that can be caused by aberrations in >80 genes. CMT has heterogeneous modes of inheritance, including autosomal dominant, autosomal recessive, X-linked dominant, and X-linked recessive. Over 95% of cases are dominantly inherited. In this study, we investigated whether regulation of a mutant allele by an allele-specific small interfering RNA (siRNA) can alleviate the demyelinating neuropathic phenotype of CMT. We designed 19 different allele-specific siRNAs for Trembler J (Tr-J) mice harboring a naturally occurring mutation (Leu16Pro) in Pmp22. Using a luciferase assay, we identified an siRNA that specifically and selectively reduced the expression level of the mutant allele and reversed the low viability of Schwann cells caused by mutant Pmp22 over-expression in vitro. The in vivo efficacy of the allele-specific siRNA was assessed by its intraperitoneal injection to postnatal day 6 of Tr-J mice. Administration of the allele-specific siRNA to Tr-J mice significantly enhanced motor function and muscle volume, as assessed by the rotarod test and magnetic resonance imaging analysis, respectively. Increases in motor nerve conduction velocity and compound muscle action potentials were also observed in the treated mice. In addition, myelination, as evidenced by toluidine blue staining and electron microscopy, was augmented in the sciatic nerves of the mice after allele-specific siRNA treatment. After validating suppression of the Pmp22 mutant allele at the mRNA level in the Schwann cells of Tr-J mice, we observed increased expression levels of myelinating proteins such as myelin basic protein and myelin protein zero. These data indicate that selective suppression of the Pmp22 mutant allele by non-viral delivery of siRNA alleviates the demyelinating neuropathic phenotypes of CMT in vivo, implicating allele-specific siRNA treatment as a potent therapeutic strategy for dominantly inherited peripheral neuropathies.

  4. Allele-specific enzymatic amplification of. beta. -globin genomic DNA for diagnosis of sickle cell anemia

    SciTech Connect

    Wu, D.Y.; Ugozzoli, L.; Pal, B.K.; Wallace, B. )

    1989-04-01

    A rapid nonradioactive approach to the diagnosis of sickle cell anemia is described based on an allele-specific polymerase chain reaction (ASPCR). This method allows direct detection of the normal or the sickle cell {beta}-globin allele in genomic DNA without additional steps of probe hybridization, ligation, or restriction enzyme cleavage. Two allele-specific oligonucleotide primers, one specific for the sickle cell allele and one specific for the normal allele, together with another primer complementary to both alleles were used in the polymerase chain reaction with genomic DNA templates. The allele-specific primers differed from each other in their terminal 3{prime} nucleotide. Under the proper annealing temperature and polymerase chain reaction conditions, these primers only directed amplification on their complementary allele. In a single blind study of DNA samples from 12 individuals, this method correctly and unambiguously allowed for the determination of the genotypes with no false negatives or positives. If ASPCR is able to discriminate all allelic variation (both transition and transversion mutations), this method has the potential to be a powerful approach for genetic disease diagnosis, carrier screening, HLA typing, human gene mapping, forensics, and paternity testing.

  5. AlleleSeq: analysis of allele-specific expression and binding in a network framework.

    PubMed

    Rozowsky, Joel; Abyzov, Alexej; Wang, Jing; Alves, Pedro; Raha, Debasish; Harmanci, Arif; Leng, Jing; Bjornson, Robert; Kong, Yong; Kitabayashi, Naoki; Bhardwaj, Nitin; Rubin, Mark; Snyder, Michael; Gerstein, Mark

    2011-08-02

    To study allele-specific expression (ASE) and binding (ASB), that is, differences between the maternally and paternally derived alleles, we have developed a computational pipeline (AlleleSeq). Our pipeline initially constructs a diploid personal genome sequence (and corresponding personalized gene annotation) using genomic sequence variants (SNPs, indels, and structural variants), and then identifies allele-specific events with significant differences in the number of mapped reads between maternal and paternal alleles. There are many technical challenges in the construction and alignment of reads to a personal diploid genome sequence that we address, for example, bias of reads mapping to the reference allele. We have applied AlleleSeq to variation data for NA12878 from the 1000 Genomes Project as well as matched, deeply sequenced RNA-Seq and ChIP-Seq data sets generated for this purpose. In addition to observing fairly widespread allele-specific behavior within individual functional genomic data sets (including results consistent with X-chromosome inactivation), we can study the interaction between ASE and ASB. Furthermore, we investigate the coordination between ASE and ASB from multiple transcription factors events using a regulatory network framework. Correlation analyses and network motifs show mostly coordinated ASB and ASE.

  6. Allele-specific MMP-3 transcription under in vivo conditions

    SciTech Connect

    Zhu Chaoyong; Odeberg, Jacob; Hamsten, Anders; Eriksson, Per . E-mail: Per.Eriksson@ki.se

    2006-09-29

    A common matrix metalloproteinases-3 (MMP-3) -1612 5A/6A promoter polymorphism is associated with risk for cardiovascular disease, rheumatoid arthritis, and other diseases. Here we used the haplotype chromatin immunoprecipitation method to study allele-specific MMP-3 expression under in vivo conditions in heterozygous THP-1 cells. Pyrosequencing was used to analyse the ratio of 5A-allele to 6A-allele after chromatin immunoprecipitation using an antibody against phosphorylated active RNA polymerase II. There was no allele-specific difference in transcriptional activity during basal conditions, i.e., in unstimulated monocytic THP-1 cells. However, after stimulation of MMP-3 expression by monocyte differentiation or incubation with IL-1{beta}, the haplotype containing the 5A-allele was associated with higher transcriptional activity compared with the 6A-containing haplotype. Electromobility shift assay demonstrated increased binding of nuclear proteins to the 5A-allele after monocyte differentiation. In conclusion, the common MMP-3 5A/6A promoter polymorphism appears to be functional only during specific environmental conditions involving inflammation.

  7. RNA-FISH to analyze allele-specific expression.

    PubMed

    Braidotti, G

    2001-01-01

    One of the difficulties associated with the analysis of imprinted gene expression is the need to distinguish RNA synthesis occurring at the maternal vs the paternally inherited copy of the gene. Most of the techniques used to examine allele-specific expression exploit naturally occurring polymorphisms and measure steady-state levels of RNA isolated from a pool of cells. Hence, a restriction fragment length polymorphism (RFLP) an be exploited in a heterozygote, by a reverse transcriptase polymerase chain reaction (RT-PCR)- based procedure, to analyze maternal vs paternal gene expression. The human IGF2R gene was analyzed in this way. Smrzka et al. (1) were thus able to show that the IGF2R gene possesses a hemimethylated, intronic CpG island analogous to the mouse imprinting box. However, IGF2R mRNA was detected that possessed the RFLP from both the maternal and paternal alleles in all but one of the 70 lymphoblastoid samples. (The one monoallelic sample reactivated its paternal allele with continued cell culturing.) It was concluded that monoallelic expression of the human gene is a polymorphic trait occurring in a small minority of all tested samples (reviewed in refs. 2,3). Although this is a sound conclusion, the question remains: Is the human IGF2R gene imprinted?

  8. Read-mapping using personalized diploid reference genome for RNA sequencing data reduced bias for detecting allele-specific expression

    PubMed Central

    Yuan, Shuai; Qin, Zhaohui

    2014-01-01

    Next generation sequencing (NGS) technologies have been applied extensively in many areas of genetics and genomics research. A fundamental problem when comes to analyzing NGS data is mapping short sequencing reads back to the reference genome. Most of existing software packages rely on a single uniform reference genome and do not automatically take into the consideration of genetic variants. On the other hand, large proportions of incorrectly mapped reads affect the correct interpretation of the NGS experimental results. As an example, Degner et al. showed that detecting allele-specific expression from RNA sequencing data was biased toward the reference allele. In this study, we developed a method that utilize DirectX 11 enabled graphics processing unit (GPU)’s parallel computing power to produces a personalized diploid reference genome based on all known genetic variants of that particular individual. We show that using such a personalized diploid reference genome can improve mapping accuracy and significantly reduce the bias toward reference allele in allele-specific expression analysis. Our method can be applied to any individual that has genotype information obtained either from array-based genotyping or resequencing. Besides the reference genome, no additional changes to alignment algorithm are needed for performing read mapping therefore one can utilize any of the existing read mapping tools and achieve the improved read mapping result. C++ and GPU compute shader source code of the software program is available at: http://code.google.com/p/diploid-mapping/downloads/list. PMID:25621316

  9. Read-mapping using personalized diploid reference genome for RNA sequencing data reduced bias for detecting allele-specific expression.

    PubMed

    Yuan, Shuai; Qin, Zhaohui

    2012-10-01

    Next generation sequencing (NGS) technologies have been applied extensively in many areas of genetics and genomics research. A fundamental problem when comes to analyzing NGS data is mapping short sequencing reads back to the reference genome. Most of existing software packages rely on a single uniform reference genome and do not automatically take into the consideration of genetic variants. On the other hand, large proportions of incorrectly mapped reads affect the correct interpretation of the NGS experimental results. As an example, Degner et al. showed that detecting allele-specific expression from RNA sequencing data was biased toward the reference allele. In this study, we developed a method that utilize DirectX 11 enabled graphics processing unit (GPU)'s parallel computing power to produces a personalized diploid reference genome based on all known genetic variants of that particular individual. We show that using such a personalized diploid reference genome can improve mapping accuracy and significantly reduce the bias toward reference allele in allele-specific expression analysis. Our method can be applied to any individual that has genotype information obtained either from array-based genotyping or resequencing. Besides the reference genome, no additional changes to alignment algorithm are needed for performing read mapping therefore one can utilize any of the existing read mapping tools and achieve the improved read mapping result. C++ and GPU compute shader source code of the software program is available at: http://code.google.com/p/diploid-mapping/downloads/list.

  10. Chromosome-wide analysis of parental allele-specific chromatin and DNA methylation.

    PubMed

    Singh, Purnima; Wu, Xiwei; Lee, Dong-Hoon; Li, Arthur X; Rauch, Tibor A; Pfeifer, Gerd P; Mann, Jeffrey R; Szabó, Piroska E

    2011-04-01

    To reveal the extent of domain-wide epigenetic features at imprinted gene clusters, we performed a high-resolution allele-specific chromatin analysis of over 100 megabases along the maternally or paternally duplicated distal chromosome 7 (Chr7) and Chr15 in mouse embryo fibroblasts (MEFs). We found that reciprocal allele-specific features are limited to imprinted genes and their differentially methylated regions (DMRs), whereas broad local enrichment of H3K27me3 (BLOC) is a domain-wide feature at imprinted clusters. We uncovered novel allele-specific features of BLOCs. A maternally biased BLOC was found along the H19-Igf2 domain. A paternal allele-specific gap was found along Kcnq1ot1, interrupting a biallelic BLOC in the Kcnq1-Cdkn1c domain. We report novel allele-specific chromatin marks at the Peg13 and Slc38a4 DMRs, Cdkn1c upstream region, and Inpp5f_v2 DMR and paternal allele-specific CTCF binding at the Peg13 DMR. Additionally, we derived an imprinted gene predictor algorithm based on our allele-specific chromatin mapping data. The binary predictor H3K9ac and CTCF or H3K4me3 in one allele and H3K9me3 in the reciprocal allele, using a sliding-window approach, recognized with precision the parental allele specificity of known imprinted genes, H19, Igf2, Igf2as, Cdkn1c, Kcnq1ot1, and Inpp5f_v2 on Chr7 and Peg13 and Slc38a4 on Chr15. Chromatin features, therefore, can unequivocally identify genes with imprinted expression.

  11. Utilising polymorphisms to achieve allele-specific genome editing in zebrafish

    PubMed Central

    Capon, Samuel J.; Baillie, Gregory J.; Bower, Neil I.; da Silva, Jason A.; Paterson, Scott; Hogan, Benjamin M.; Simons, Cas

    2017-01-01

    ABSTRACT The advent of genome editing has significantly altered genetic research, including research using the zebrafish model. To better understand the selectivity of the commonly used CRISPR/Cas9 system, we investigated single base pair mismatches in target sites and examined how they affect genome editing in the zebrafish model. Using two different zebrafish strains that have been deep sequenced, CRISPR/Cas9 target sites containing polymorphisms between the two strains were identified. These strains were crossed (creating heterozygotes at polymorphic sites) and CRISPR/Cas9 complexes that perfectly complement one strain injected. Sequencing of targeted sites showed biased, allele-specific editing for the perfectly complementary sequence in the majority of cases (14/19). To test utility, we examined whether phenotypes generated by F0 injection could be internally controlled with such polymorphisms. Targeting of genes bmp7a and chordin showed reduction in the frequency of phenotypes in injected ‘heterozygotes’ compared with injecting the strain with perfect complementarity. Next, injecting CRISPR/Cas9 complexes targeting two separate sites created deletions, but deletions were biased to selected chromosomes when one CRISPR/Cas9 target contained a polymorphism. Finally, integration of loxP sequences occurred preferentially in alleles with perfect complementarity. These experiments demonstrate that single nucleotide polymorphisms (SNPs) present throughout the genome can be utilised to increase the efficiency of in cis genome editing using CRISPR/Cas9 in the zebrafish model. PMID:27895053

  12. Regulatory Divergence in Drosophila melanogaster and D. simulans, a Genomewide Analysis of Allele-Specific Expression

    PubMed Central

    Graze, Rita M.; McIntyre, Lauren M.; Main, Bradley J.; Wayne, Marta L.; Nuzhdin, Sergey V.

    2009-01-01

    Species-specific regulation of gene expression contributes to the development and maintenance of reproductive isolation and to species differences in ecologically important traits. A better understanding of the evolutionary forces that shape regulatory variation and divergence can be developed by comparing expression differences among species and interspecific hybrids. Once expression differences are identified, the underlying genetics of regulatory variation or divergence can be explored. With the goal of associating cis and/or trans components of regulatory divergence with differences in gene expression, overall and allele-specific expression levels were assayed genomewide in female adult heads of Drosophila melanogaster, D. simulans, and their F1 hybrids. A greater proportion of cis differences than trans differences were identified for genes expressed in heads and, in accordance with previous studies, cis differences also explained a larger number of species differences in overall expression level. Regulatory divergence was found to be prevalent among genes associated with defense, olfaction, and among genes downstream of the Drosophila sex determination hierarchy. In addition, two genes, with critical roles in sex determination and micro RNA processing, Sxl and loqs, were identified as misexpressed in hybrid female heads, potentially contributing to hybrid incompatibility. PMID:19667135

  13. Utilising polymorphisms to achieve allele-specific genome editing in zebrafish.

    PubMed

    Capon, Samuel J; Baillie, Gregory J; Bower, Neil I; da Silva, Jason A; Paterson, Scott; Hogan, Benjamin M; Simons, Cas; Smith, Kelly A

    2017-01-15

    The advent of genome editing has significantly altered genetic research, including research using the zebrafish model. To better understand the selectivity of the commonly used CRISPR/Cas9 system, we investigated single base pair mismatches in target sites and examined how they affect genome editing in the zebrafish model. Using two different zebrafish strains that have been deep sequenced, CRISPR/Cas9 target sites containing polymorphisms between the two strains were identified. These strains were crossed (creating heterozygotes at polymorphic sites) and CRISPR/Cas9 complexes that perfectly complement one strain injected. Sequencing of targeted sites showed biased, allele-specific editing for the perfectly complementary sequence in the majority of cases (14/19). To test utility, we examined whether phenotypes generated by F0 injection could be internally controlled with such polymorphisms. Targeting of genes bmp7a and chordin showed reduction in the frequency of phenotypes in injected 'heterozygotes' compared with injecting the strain with perfect complementarity. Next, injecting CRISPR/Cas9 complexes targeting two separate sites created deletions, but deletions were biased to selected chromosomes when one CRISPR/Cas9 target contained a polymorphism. Finally, integration of loxP sequences occurred preferentially in alleles with perfect complementarity. These experiments demonstrate that single nucleotide polymorphisms (SNPs) present throughout the genome can be utilised to increase the efficiency of in cis genome editing using CRISPR/Cas9 in the zebrafish model.

  14. A novel technique for detecting single nucleotide polymorphisms by analyzing consumed allele-specific primers.

    PubMed

    Watanabe, G; Umetsu, K; Yuasa, I; Sato, M; Sakabe, M; Naito, E; Yamanouchi, H; Suzuki, T

    2001-02-01

    We present a simple and rapid polymerase chain reaction (PCR)-based technique, termed consumed allele-specific primer analysis (CASPA), as a new strategy for single nucleotide polymorphism (SNP) analysis. The method involves the use of labeled allele-specific primers, differing in length, with several noncomplementary nucleotides added in the 5'-terminal region. After PCR amplification, the amounts of the remaining primers not incorporated into the PCR products are determined. Thus, nucleotide substitutions are identified by measuring the consumption of primers. In this study, the CASPA method was successfully applied to ABO genotyping. In the present method, the allele-specific primer only anneals with the target polymorphic site on the DNA, so it is not necessary to analyze the PCR products. Therefore, this method is only little affected by modification of the PCR products. The CASPA method is expected to be a useful tool for typing of SNPs.

  15. High-Throughput Genotyping with TaqMan Allelic Discrimination and Allele-Specific Genotyping Assays.

    PubMed

    Heissl, Angelika; Arbeithuber, Barbara; Tiemann-Boege, Irene

    2017-01-01

    Real-time PCR-based genotyping methods, such as TaqMan allelic discrimination assays and allele-specific genotyping, are particularly useful when screening a handful of single nucleotide polymorphisms in hundreds of samples; either derived from different individuals, tissues, or pre-amplified DNA. Although real-time PCR-based methods such as TaqMan are well-established, alternative methods, like allele-specific genotyping, are powerful alternatives, especially for genotyping short tandem repeat (STR) length polymorphisms. Here, we describe all relevant aspects when developing an assay for a new SNP or STR using either TaqMan or allele-specific genotyping, respectively, such as primer and probe design, optimization of reaction conditions, the experimental procedure for typing hundreds of samples, and finally the data evaluation. Our goal is to provide a guideline for developing genotyping assays using these two approaches that render reliable and reproducible genotype calls involving minimal optimization.

  16. A novel measurement of allele discrimination for assessment of allele-specific silencing by RNA interference.

    PubMed

    Takahashi, Masaki; Hohjoh, Hirohiko

    2014-11-01

    Allele-specific silencing by RNA interference (ASP-RNAi) is an atypical RNAi that is capable of discriminating target alleles from non-target alleles, and may be therapeutically useful for specific inhibition of disease-causing alleles without affecting their corresponding normal alleles. However, it is difficult to design and select small interfering RNA (siRNAs) that confer ASP-RNAi. A major problem is that there are few appropriate measures in determining optimal allele-specific siRNAs. Here we show two novel formulas for calculating a new measure of allele-discrimination, named "ASP-score". The formulas and ASP-score allow for an unbiased determination of optimal siRNAs, and may contribute to characterizing such allele-specific siRNAs.

  17. Multiple Avirulence Loci and Allele-Specific Effector Recognition Control the Pm3 Race-Specific Resistance of Wheat to Powdery Mildew[OPEN

    PubMed Central

    Roffler, Stefan; Stirnweis, Daniel; Treier, Georges; Herren, Gerhard; Korol, Abraham B.; Wicker, Thomas

    2015-01-01

    In cereals, several mildew resistance genes occur as large allelic series; for example, in wheat (Triticum aestivum and Triticum turgidum), 17 functional Pm3 alleles confer agronomically important race-specific resistance to powdery mildew (Blumeria graminis). The molecular basis of race specificity has been characterized in wheat, but little is known about the corresponding avirulence genes in powdery mildew. Here, we dissected the genetics of avirulence for six Pm3 alleles and found that three major Avr loci affect avirulence, with a common locus_1 involved in all AvrPm3-Pm3 interactions. We cloned the effector gene AvrPm3a2/f2 from locus_2, which is recognized by the Pm3a and Pm3f alleles. Induction of a Pm3 allele-dependent hypersensitive response in transient assays in Nicotiana benthamiana and in wheat demonstrated specificity. Gene expression analysis of Bcg1 (encoded by locus_1) and AvrPm3 a2/f2 revealed significant differences between isolates, indicating that in addition to protein polymorphisms, expression levels play a role in avirulence. We propose a model for race specificity involving three components: an allele-specific avirulence effector, a resistance gene allele, and a pathogen-encoded suppressor of avirulence. Thus, whereas a genetically simple allelic series controls specificity in the plant host, recognition on the pathogen side is more complex, allowing flexible evolutionary responses and adaptation to resistance genes. PMID:26452600

  18. Allele-Specific Reduction of the Mutant Huntingtin Allele Using Transcription Activator-Like Effectors in Human Huntington's Disease Fibroblasts.

    PubMed

    Fink, Kyle D; Deng, Peter; Gutierrez, Josh; Anderson, Joseph S; Torrest, Audrey; Komarla, Anvita; Kalomoiris, Stefanos; Cary, Whitney; Anderson, Johnathon D; Gruenloh, William; Duffy, Alexandra; Tempkin, Teresa; Annett, Geralyn; Wheelock, Vicki; Segal, David J; Nolta, Jan A

    2016-01-01

    Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder caused by an abnormal expansion of CAG repeats. Although pathogenesis has been attributed to this polyglutamine expansion, the underlying mechanisms through which the huntingtin protein functions have yet to be elucidated. It has been suggested that postnatal reduction of mutant huntingtin through protein interference or conditional gene knockout could prove to be an effective therapy for patients suffering from HD. For allele-specific targeting, transcription activator-like effectors (TALE) were designed to target single-nucleotide polymorphisms (SNP) in the mutant allele and packaged into a vector backbone containing KRAB to promote transcriptional repression of the disease-associated allele. Additional TALEs were packaged into a vector backbone containing heterodimeric FokI and were designed to be used as nucleases (TALEN) to cause a CAG-collapse in the mutant allele. Human HD fibroblasts were treated with each TALE-SNP or TALEN. Allele-expression was measured using a SNP-genotyping assay and mutant protein aggregation was quantified with Western blots for anti-ubiquitin. The TALE-SNP and TALEN significantly reduced mutant allele expression (p < 0.05) when compared to control transfections while not affecting expression of the nondisease allele. This study demonstrates the potential of allele-specific gene modification using TALE proteins, and provides a foundation for targeted treatment for individuals suffering from Huntington's or other genetically linked diseases.

  19. Allele-specific copy number profiling by next-generation DNA sequencing.

    PubMed

    Chen, Hao; Bell, John M; Zavala, Nicolas A; Ji, Hanlee P; Zhang, Nancy R

    2015-02-27

    The progression and clonal development of tumors often involve amplifications and deletions of genomic DNA. Estimation of allele-specific copy number, which quantifies the number of copies of each allele at each variant loci rather than the total number of chromosome copies, is an important step in the characterization of tumor genomes and the inference of their clonal history. We describe a new method, falcon, for finding somatic allele-specific copy number changes by next generation sequencing of tumors with matched normals. falcon is based on a change-point model on a bivariate mixed Binomial process, which explicitly models the copy numbers of the two chromosome haplotypes and corrects for local allele-specific coverage biases. By using the Binomial distribution rather than a normal approximation, falcon more effectively pools evidence from sites with low coverage. A modified Bayesian information criterion is used to guide model selection for determining the number of copy number events. Falcon is evaluated on in silico spike-in data and applied to the analysis of a pre-malignant colon tumor sample and late-stage colorectal adenocarcinoma from the same individual. The allele-specific copy number estimates obtained by falcon allows us to draw detailed conclusions regarding the clonal history of the individual's colon cancer.

  20. Citrus (Rutaceae) SNP markers based on Competitive Allele-Specific PCR; transferability across the Aurantioideae subfamily1

    PubMed Central

    Garcia-Lor, Andres; Ancillo, Gema; Navarro, Luis; Ollitrault, Patrick

    2013-01-01

    • Premise of the study: Single nucleotide polymorphism (SNP) markers based on Competitive Allele-Specific PCR (KASPar) were developed from sequences of three Citrus species. Their transferability was tested in 63 Citrus genotypes and 19 relative genera of the subfamily Aurantioideae to estimate the potential of SNP markers, selected from a limited intrageneric discovery panel, for ongoing broader diversity analysis at the intra- and intergeneric levels and systematic germplasm bank characterization. • Methods and Results: Forty-two SNP markers were developed using KASPar technology. Forty-one were successfully genotyped in all of the Citrus germplasm, where intra- and interspecific polymorphisms were observed. The transferability and diversity decreased with increasing taxonomic distance. • Conclusions: SNP markers based on the KASPar method developed from sequence data of a limited intrageneric discovery panel provide a valuable molecular resource for genetic diversity analysis of germplasm within a genus and should be useful for germplasm fingerprinting at a much broader diversity level. PMID:25202535

  1. Assignment of SNP allelic configuration in polyploids using competitive allele-specific PCR: application to citrus triploid progeny

    PubMed Central

    Cuenca, José; Aleza, Pablo; Navarro, Luis; Ollitrault, Patrick

    2013-01-01

    Background Polyploidy is a major component of eukaryote evolution. Estimation of allele copy numbers for molecular markers has long been considered a challenge for polyploid species, while this process is essential for most genetic research. With the increasing availability and whole-genome coverage of single nucleotide polymorphism (SNP) markers, it is essential to implement a versatile SNP genotyping method to assign allelic configuration efficiently in polyploids. Scope This work evaluates the usefulness of the KASPar method, based on competitive allele-specific PCR, for the assignment of SNP allelic configuration. Citrus was chosen as a model because of its economic importance, the ongoing worldwide polyploidy manipulation projects for cultivar and rootstock breeding, and the increasing availability of SNP markers. Conclusions Fifteen SNP markers were successfully designed that produced clear allele signals that were in agreement with previous genotyping results at the diploid level. The analysis of DNA mixes between two haploid lines (Clementine and pummelo) at 13 different ratios revealed a very high correlation (average = 0·9796; s.d. = 0·0094) between the allele ratio and two parameters [θ angle = tan−1 (y/x) and y′ = y/(x + y)] derived from the two normalized allele signals (x and y) provided by KASPar. Separated cluster analysis and analysis of variance (ANOVA) from mixed DNA simulating triploid and tetraploid hybrids provided 99·71 % correct allelic configuration. Moreover, triploid populations arising from 2n gametes and interploid crosses were easily genotyped and provided useful genetic information. This work demonstrates that the KASPar SNP genotyping technique is an efficient way to assign heterozygous allelic configurations within polyploid populations. This method is accurate, simple and cost-effective. Moreover, it may be useful for quantitative studies, such as relative allele-specific expression analysis and bulk segregant analysis

  2. BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes.

    PubMed

    de Santiago, Ines; Liu, Wei; Yuan, Ke; O'Reilly, Martin; Chilamakuri, Chandra Sekhar Reddy; Ponder, Bruce A J; Meyer, Kerstin B; Markowetz, Florian

    2017-02-24

    Allele-specific measurements of transcription factor binding from ChIP-seq data are key to dissecting the allelic effects of non-coding variants and their contribution to phenotypic diversity. However, most methods of detecting an allelic imbalance assume diploid genomes. This assumption severely limits their applicability to cancer samples with frequent DNA copy-number changes. Here we present a Bayesian statistical approach called BaalChIP to correct for the effect of background allele frequency on the observed ChIP-seq read counts. BaalChIP allows the joint analysis of multiple ChIP-seq samples across a single variant and outperforms competing approaches in simulations. Using 548 ENCODE ChIP-seq and six targeted FAIRE-seq samples, we show that BaalChIP effectively corrects allele-specific analysis for copy-number variation and increases the power to detect putative cis-acting regulatory variants in cancer genomes.

  3. Correction of hair shaft defects through allele-specific silencing of mutant Krt75

    PubMed Central

    Liu, Ying; Snedecor, Elizabeth R.; Zhang, Xu; Xu, Yan-Feng; Huang, Lan; Jones, Evan; Zhang, Lianfeng; Clark, Richard A.; Roop, Dennis R.; Qin, Chuan; Chen, Jiang

    2015-01-01

    Dominant mutations in keratin genes can cause a number of inheritable skin disorders characterized by intraepidermal blistering, epidermal hyperkeratosis, or abnormalities in skin appendages, such as nail plate dystrophy and structural defects in hair. Allele-specific silencing of mutant keratins through RNA interference is a promising therapeutic approach for suppressing the expression of mutant keratins and related phenotypes in the epidermis. However, its effectiveness on skin appendages remains to be confirmed in vivo. In this study, we developed allele specific siRNAs capable of selectively suppressing the expression of a mutant Krt75, which causes hair shaft structural defects characterized by the development of blebs along the hair shaft in mice. Hair regenerated from epidermal keratinocyte progenitor cells isolated from mutant Krt75 mouse models reproduced the blebbing phenotype when grafted in vivo. In contrast, mutant cells manipulated with a lentiviral vector expressing mutant Krt75-specific shRNA persistently suppressed this phenotype. The phenotypic correction was associated with significant reduction of mutant Krt75 mRNA in the skin grafts. Thus, data obtained from this study demonstrated the feasibility of utilizing RNA interference to achieve durable correction of hair structural phenotypes through allele-specific silencing of the mutant keratin genes. PMID:26763422

  4. Predictive long-range allele-specific mapping of regulatory variants and target transcripts.

    PubMed

    Lee, Kibaick; Lee, Seulkee; Bang, Hyoeun; Choi, Jung Kyoon

    2017-01-01

    Genome-wide association studies (GWASs) have identified a large number of noncoding associations, calling for systematic mapping to causal regulatory variants and their distal target genes. A widely used method, quantitative trait loci (QTL) mapping for chromatin or expression traits, suffers from sample-to-sample experimental variation and trans-acting or environmental effects. Instead, alleles at heterozygous loci can be compared within a sample, thereby controlling for those confounding factors. Here we introduce a method for chromatin structure-based allele-specific pairing of regulatory variants and target transcripts. With phased genotypes, much of allele-specific expression could be explained by paired allelic cis-regulation across a long range. This approach showed approximately two times greater sensitivity than QTL mapping. There are cases in which allele imbalance cannot be tested because heterozygotes are not available among reference samples. Therefore, we employed a machine learning method to predict missing positive cases based on various features shared by observed allele-specific pairs. We showed that only 10 reference samples are sufficient to achieve high prediction accuracy with a low sampling variation. In conclusion, our method enables highly sensitive fine mapping and target identification for trait-associated variants based on a small number of reference samples.

  5. Correction of Hair Shaft Defects through Allele-Specific Silencing of Mutant Krt75.

    PubMed

    Liu, Ying; Snedecor, Elizabeth R; Zhang, Xu; Xu, Yanfeng; Huang, Lan; Jones, Evan C; Zhang, Lianfeng; Clark, Richard A; Roop, Dennis R; Qin, Chuan; Chen, Jiang

    2016-01-01

    Dominant mutations in keratin genes can cause a number of inheritable skin disorders characterized by intraepidermal blistering, epidermal hyperkeratosis, or abnormalities in skin appendages, such as nail plate dystrophy and structural defects in hair. Allele-specific silencing of mutant keratins through RNA interference is a promising therapeutic approach for suppressing the expression of mutant keratins and related phenotypes in the epidermis. However, its effectiveness on skin appendages remains to be confirmed in vivo. In this study, we developed allele-specific small interfering RNAs capable of selectively suppressing the expression of a mutant Krt75, which causes hair shaft structural defects characterized by the development of blebs along the hair shaft in mice. Hair regenerated from epidermal keratinocyte progenitor cells isolated from mutant Krt75 mouse models reproduced the blebbing phenotype when grafted in vivo. In contrast, mutant cells manipulated with a lentiviral vector expressing mutant Krt75-specific short hairpin RNA (shRNA) persistently suppressed this phenotype. The phenotypic correction was associated with a significant reduction of mutant Krt75 mRNA in the skin grafts. Thus, data obtained from this study demonstrated the feasibility of utilizing RNA interference to achieve durable correction of hair structural phenotypes through allele-specific silencing of mutant keratin genes.

  6. A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals

    PubMed Central

    Chen, Jieming; Rozowsky, Joel; Galeev, Timur R.; Harmanci, Arif; Kitchen, Robert; Bedford, Jason; Abyzov, Alexej; Kong, Yong; Regan, Lynne; Gerstein, Mark

    2016-01-01

    Large-scale sequencing in the 1000 Genomes Project has revealed multitudes of single nucleotide variants (SNVs). Here, we provide insights into the functional effect of these variants using allele-specific behaviour. This can be assessed for an individual by mapping ChIP-seq and RNA-seq reads to a personal genome, and then measuring ‘allelic imbalances' between the numbers of reads mapped to the paternal and maternal chromosomes. We annotate variants associated with allele-specific binding and expression in 382 individuals by uniformly processing 1,263 functional genomics data sets, developing approaches to reduce the heterogeneity between data sets due to overdispersion and mapping bias. Since many allelic variants are rare, aggregation across multiple individuals is necessary to identify broadly applicable ‘allelic elements'. We also found SNVs for which we can anticipate allelic imbalance from the disruption of a binding motif. Our results serve as an allele-specific annotation for the 1000 Genomes variant catalogue and are distributed as an online resource (alleledb.gersteinlab.org). PMID:27089393

  7. Genetic Interactions among Chlamydomonas Reinhardtii Mutations That Confer Resistance to anti-Microtubule Herbicides

    PubMed Central

    James, S. W.; Lefebvre, P. A.

    1992-01-01

    We previously described two types of genetic interactions among recessive mutations in the APM1 and APM2 loci of Chlamydomonas reinhardtii that may reflect a physical association of the gene products or their involvement in a common structure/process: (1) allele-specific synthetic lethality, and (2) unlinked noncomplementation, or dominant enhancement. To further investigate these interactions, we isolated revertants in which the heat sensitivity caused by the apm2-1 mutation is lost. The heat-insensitive revertants were either fully or partially suppressed for the drug-resistance caused by the apm2-1 allele. In recombination tests the revertants behaved as if the suppressing mutation mapped within the APM2 locus; the partial suppressors of apm2-1 herbicide resistance failed to complement apm2-1, leading to the conclusion that they were likely to be intragenic pseudorevertants. The apm2-1 partial suppressor mutations reversed apm1(-)apm2-1 synthetic lethality in an allele-specific manner with respect both to apm1(-) alleles and apm2-1 suppressor mutations. Those apm1(-) apm2-1(rev) strains that regained viability also regained heat sensitivity characteristic of the original apm2-1 mutation, even though the apm2-1 suppressor strains were fully heat-insensitive. The Hs(+) phenotypes of apm2-1 partial suppressors were also reversed by treatment with the microtubule-stabilizing agent deuterium oxide (D(2)O). In addition to the above interactions, we observed interallelic complementation and phenotypic enhancement of temperature conditionality among apm1(-) alleles. Evidence of a role for the products of the two genes in microtubule-based processes was obtained from studying flagellar assembly in apm1(-) and apm2(-) mutants. PMID:1311696

  8. Allele-specific locus binding and genome editing by CRISPR at the p16INK4a locus.

    PubMed

    Fujita, Toshitsugu; Yuno, Miyuki; Fujii, Hodaka

    2016-07-28

    The clustered regularly interspaced short palindromic repeats (CRISPR) system has been adopted for a wide range of biological applications including genome editing. In some cases, dissection of genome functions requires allele-specific genome editing, but the use of CRISPR for this purpose has not been studied in detail. In this study, using the p16INK4a gene in HCT116 as a model locus, we investigated whether chromatin states, such as CpG methylation, or a single-nucleotide gap form in a target site can be exploited for allele-specific locus binding and genome editing by CRISPR in vivo. First, we showed that allele-specific locus binding and genome editing could be achieved by targeting allele-specific CpG-methylated regions, which was successful for one, but not all guide RNAs. In this regard, molecular basis underlying the success remains elusive at this stage. Next, we demonstrated that an allele-specific single-nucleotide gap form could be employed for allele-specific locus binding and genome editing by CRISPR, although it was important to avoid CRISPR tolerance of a single nucleotide mismatch brought about by mismatched base skipping. Our results provide information that might be useful for applications of CRISPR in studies of allele-specific functions in the genomes.

  9. Allele-specific locus binding and genome editing by CRISPR at the p16INK4a locus

    PubMed Central

    Fujita, Toshitsugu; Yuno, Miyuki; Fujii, Hodaka

    2016-01-01

    The clustered regularly interspaced short palindromic repeats (CRISPR) system has been adopted for a wide range of biological applications including genome editing. In some cases, dissection of genome functions requires allele-specific genome editing, but the use of CRISPR for this purpose has not been studied in detail. In this study, using the p16INK4a gene in HCT116 as a model locus, we investigated whether chromatin states, such as CpG methylation, or a single-nucleotide gap form in a target site can be exploited for allele-specific locus binding and genome editing by CRISPR in vivo. First, we showed that allele-specific locus binding and genome editing could be achieved by targeting allele-specific CpG-methylated regions, which was successful for one, but not all guide RNAs. In this regard, molecular basis underlying the success remains elusive at this stage. Next, we demonstrated that an allele-specific single-nucleotide gap form could be employed for allele-specific locus binding and genome editing by CRISPR, although it was important to avoid CRISPR tolerance of a single nucleotide mismatch brought about by mismatched base skipping. Our results provide information that might be useful for applications of CRISPR in studies of allele-specific functions in the genomes. PMID:27465215

  10. Optimized Multiplex Detection of 7 KRAS Mutations by Taqman Allele-Specific qPCR

    PubMed Central

    Orue, Andrea; Rieber, Manuel

    2016-01-01

    Establishing the KRAS mutational status of tumor samples is essential to manage patients with colorectal or lung cancer, since these mutations preclude treatment with monoclonal anti-epidermal growth factor receptor (EGFR) antibodies. We report an inexpensive, rapid multiplex allele-specific qPCR method detecting the 7 most clinically relevant KRAS somatic mutations with concomitant amplification of non-mutated KRAS in tumor cells and tissues from CRC patients. Positive samples evidenced in the multiplex assay were further subjected to individual allele-specific analysis, to define the specific mutation. Reference human cancer DNA harbouring either G12A, G12C, G12D, G12R, G12S, G12V and G13D confirmed assay specificity with ≤1% sensitivity of mutant alleles. KRAS multiplex mutation analysis usefulness was also demonstrated with formalin-fixed paraffin embedded (FFPE) from CRC biopsies. Conclusion. Co-amplification of non-mutated DNA avoided false negatives from degraded samples. Moreover, this cost effective assay is compatible with mutation detection by DNA sequencing in FFPE tissues, but with a greater sensitivity when mutant DNA concentrations are limiting. PMID:27632281

  11. Microarrays for high-throughput genotyping of MICA alleles using allele-specific primer extension.

    PubMed

    Baek, I C; Jang, J-P; Choi, H-B; Choi, E-J; Ko, W-Y; Kim, T-G

    2013-10-01

    The role of major histocompatibility complex (MHC) class I chain-related gene A (MICA), a ligand of NKG2D, has been defined in human diseases by its allele associations with various autoimmune diseases, hematopoietic stem cell transplantation (HSCT) and cancer. This study describes a practical system to develop MICA genotyping by allele-specific primer extension (ASPE) on microarrays. From the results of 20 control primers, strict and reliable cut-off values of more than 30,000 mean fluorescence intensity (MFI) as positive and less than 3000 MFI as negative, were applied to select high-quality specific extension primers. Among 55 allele-specific primers, 44 primers could be initially selected as optimal primer. Through adjusting the length, six primers were improved. The other failed five primers were corrected by refractory modification. MICA genotypes by ASPE on microarrays showed the same results as those by nucleotide sequencing. On the basis of these results, ASPE on microarrays may provide high-throughput genotyping for MICA alleles for population studies, disease-gene associations and HSCT.

  12. Human leukocyte antigen haplotype phasing by allele-specific enrichment with peptide nucleic acid probes

    PubMed Central

    Murphy, Nicholas M; Pouton, Colin W; Irving, Helen R

    2014-01-01

    Targeted capture of large fragments of genomic DNA that enrich for human leukocyte antigen (HLA) system haplotypes has utility in haematopoietic stem cell transplantation. Current methods of HLA matching are based on inference or familial studies of inheritance; and each approach has its own inherent limitations. We have designed and tested a probe–target-extraction method for capturing specific HLA haplotypes by hybridization of peptide nucleic acid (PNA) probes to alleles of the HLA-DRB1 gene. Short target fragments contained in plasmids were initially used to optimize the method followed by testing samples of genomic DNA from human subjects with preselected HLA haplotypes and obtained approximately 10% enrichment for the specific haplotype. When performed with high-molecular-weight genomic DNA, 99.0% versus 84.0% alignment match was obtained for the specific haplotype probed. The allele-specific target enrichment that we obtained can facilitate the elucidation of haplotypes between the 65 kb separating the HLA-DRB1 and the HLA-DQA1 genes, potentially spanning a total distance of at least 130 kb. Allele-specific target enrichment with PNA probes is a straightforward technique that has the capability to improve the resolution of DNA and whole genome sequencing technologies by allowing haplotyping of enriched DNA and crucially, retaining the DNA methylation profile. PMID:24936514

  13. Transcriptome analysis revealed chimeric RNAs, single nucleotide polymorphisms and allele-specific expression in porcine prenatal skeletal muscle

    PubMed Central

    Yang, Yalan; Tang, Zhonglin; Fan, Xinhao; Xu, Kui; Mu, Yulian; Zhou, Rong; Li, Kui

    2016-01-01

    Prenatal skeletal muscle development genetically determines postnatal muscle characteristics such as growth and meat quality in pigs. However, the molecular mechanisms underlying prenatal skeletal muscle development remain unclear. Here, we performed the first genome-wide analysis of chimeric RNAs, single nuclear polymorphisms (SNPs) and allele-specific expression (ASE) in prenatal skeletal muscle in pigs. We identified 14,810 protein coding genes and 163 high-confidence chimeric RNAs expressed in prenatal skeletal muscle. More than 94.5% of the chimeric RNAs obeyed the canonical GT/AG splice rule and were trans-splicing events. Ten and two RNAs were aligned to human and mouse chimeric transcripts, respectively. We detected 106,457 high-quality SNPs (6,955 novel), which were mostly (89.09%) located within QTLs for production traits. The high proportion of non-exonic SNPs revealed the incomplete annotation status of the current swine reference genome. ASE analysis revealed that 11,300 heterozygous SNPs showed allelic imbalance, whereas 131 ASE variants were located in the chimeric RNAs. Moreover, 4 ASE variants were associated with various economically relevant traits of pigs. Taken together, our data provide a source for studies of chimeric RNAs and biomarkers for pig breeding, while illuminating the complex transcriptional events underlying prenatal skeletal muscle development in mammals. PMID:27352850

  14. Allele-specific suppression of mutant huntingtin using antisense oligonucleotides: providing a therapeutic option for all Huntington disease patients.

    PubMed

    Skotte, Niels H; Southwell, Amber L; Østergaard, Michael E; Carroll, Jeffrey B; Warby, Simon C; Doty, Crystal N; Petoukhov, Eugenia; Vaid, Kuljeet; Kordasiewicz, Holly; Watt, Andrew T; Freier, Susan M; Hung, Gene; Seth, Punit P; Bennett, C Frank; Swayze, Eric E; Hayden, Michael R

    2014-01-01

    Huntington disease (HD) is an inherited, fatal neurodegenerative disorder caused by a CAG repeat expansion in the huntingtin gene. The mutant protein causes neuronal dysfunction and degeneration resulting in motor dysfunction, cognitive decline, and psychiatric disturbances. Currently, there is no disease altering treatment, and symptomatic therapy has limited benefit. The pathogenesis of HD is complicated and multiple pathways are compromised. Addressing the problem at its genetic root by suppressing mutant huntingtin expression is a promising therapeutic strategy for HD. We have developed and evaluated antisense oligonucleotides (ASOs) targeting single nucleotide polymorphisms that are significantly enriched on HD alleles (HD-SNPs). We describe our structure-activity relationship studies for ASO design and find that adjusting the SNP position within the gap, chemical modifications of the wings, and shortening the unmodified gap are critical for potent, specific, and well tolerated silencing of mutant huntingtin. Finally, we show that using two distinct ASO drugs targeting the two allelic variants of an HD-SNP could provide a therapeutic option for all persons with HD; allele-specifically for roughly half, and non-specifically for the remainder.

  15. Allele-Specific Suppression of Mutant Huntingtin Using Antisense Oligonucleotides: Providing a Therapeutic Option for All Huntington Disease Patients

    PubMed Central

    Skotte, Niels H.; Southwell, Amber L.; Østergaard, Michael E.; Carroll, Jeffrey B.; Warby, Simon C.; Doty, Crystal N.; Petoukhov, Eugenia; Vaid, Kuljeet; Kordasiewicz, Holly; Watt, Andrew T.; Freier, Susan M.; Hung, Gene; Seth, Punit P.; Bennett, C. Frank; Swayze, Eric E.; Hayden, Michael R.

    2014-01-01

    Huntington disease (HD) is an inherited, fatal neurodegenerative disorder caused by a CAG repeat expansion in the huntingtin gene. The mutant protein causes neuronal dysfunction and degeneration resulting in motor dysfunction, cognitive decline, and psychiatric disturbances. Currently, there is no disease altering treatment, and symptomatic therapy has limited benefit. The pathogenesis of HD is complicated and multiple pathways are compromised. Addressing the problem at its genetic root by suppressing mutant huntingtin expression is a promising therapeutic strategy for HD. We have developed and evaluated antisense oligonucleotides (ASOs) targeting single nucleotide polymorphisms that are significantly enriched on HD alleles (HD-SNPs). We describe our structure-activity relationship studies for ASO design and find that adjusting the SNP position within the gap, chemical modifications of the wings, and shortening the unmodified gap are critical for potent, specific, and well tolerated silencing of mutant huntingtin. Finally, we show that using two distinct ASO drugs targeting the two allelic variants of an HD-SNP could provide a therapeutic option for all persons with HD; allele-specifically for roughly half, and non-specifically for the remainder. PMID:25207939

  16. Allele-specific expression of mutated in colorectal cancer (MCC) gene and alternative susceptibility to colorectal cancer in schizophrenia

    PubMed Central

    Wang, Yang; Cao, Yanfei; Huang, Xiaoye; Yu, Tao; Wei, Zhiyun; McGrath, John; Xu, Fei; Bi, Yan; Li, Xingwang; Yang, Fengping; Li, Weidong; Zou, Xia; Peng, Zhihai; Xiao, Yanzeng; Zhang, Yan; He, Lin; He, Guang

    2016-01-01

    Evidence has indicated that the incidence of colorectal cancer (CRC) among schizophrenia is lower than normal. To explore this potential protective effect, we employed an innovative strategy combining association study with allele-specific expression (ASE) analysis in MCC gene. We first genotyped four polymorphisms within MCC in 312 CRC patients, 270 schizophrenia patients and 270 controls. Using the MassArray technique, we performed ASE measurements in a second sample series consisting of 50 sporadic CRC patients, 50 schizophrenia patients and 52 controls. Rs2227947 showed significant differences between schizophrenia cases and controls, and haplotype analysis reported some significant discrepancies among these three subject groups. ASE values of rs2227948 and rs2227947 presented consistently differences between CRC (or schizophrenia) patients and controls. Of the three groups, highest frequencies of ASE in MCC were concordantly found in CRC group, whereas lowest frequencies of ASE were observed in schizophrenia group. Similar trends were confirmed in both haplotype frequencies and ASE frequencies (i.e. CRC > control > schizophrenia). We provide a first indication that MCC might confer alterative genetic susceptibility to CRC in individuals with schizophrenia promising to shed more light on the relationship between schizophrenia and cancer progression. PMID:27226254

  17. Mutant allele specific imbalance in oncogenes with copy number alterations: Occurrence, mechanisms, and potential clinical implications.

    PubMed

    Yu, Chih-Chieh; Qiu, Wanglong; Juang, Caroline S; Mansukhani, Mahesh M; Halmos, Balazs; Su, Gloria H

    2017-01-01

    Mutant allele specific imbalance (MASI) was initially coined to describe copy number alterations associated with the mutant allele of an oncogene. The copy number gain (CNG) specific to the mutant allele can be readily observed in electropherograms. With the development of genome-wide analyses at base-pair resolution with copy number counts, we can now further differentiate MASI into those with CNG, with copy neutral alteration (also termed acquired uniparental disomy; UPD), or with loss of heterozygosity (LOH) due to the loss of the wild-type (WT) allele. Here we summarize the occurrence of MASI with CNG, aUPD, or MASI with LOH in some major oncogenes (such as EGFR, KRAS, PIK3CA, and BRAF). We also discuss how these various classifications of MASI have been demonstrated to impact tumorigenesis, progression, metastasis, prognosis, and potentially therapeutic responses in cancer, notably in lung, colorectal, and pancreatic cancers.

  18. Kinetic characterisation of primer mismatches in allele-specific PCR: a quantitative assessment.

    PubMed

    Waterfall, Christy M; Eisenthal, Robert; Cobb, Benjamin D

    2002-12-20

    A novel method of estimating the kinetic parameters of Taq DNA polymerase during rapid cycle PCR is presented. A model was constructed using a simplified sigmoid function to represent substrate accumulation during PCR in combination with the general equation describing high substrate inhibition for Michaelis-Menten enzymes. The PCR progress curve was viewed as a series of independent reactions where initial rates were accurately measured for each cycle. Kinetic parameters were obtained for allele-specific PCR (AS-PCR) amplification to examine the effect of mismatches on amplification. A high degree of correlation was obtained providing evidence of substrate inhibition as a major cause of the plateau phase that occurs in the later cycles of PCR.

  19. Loss of RNA expression and allele-specific expression associated with congenital heart disease

    PubMed Central

    McKean, David M.; Homsy, Jason; Wakimoto, Hiroko; Patel, Neil; Gorham, Joshua; DePalma, Steven R.; Ware, James S.; Zaidi, Samir; Ma, Wenji; Patel, Nihir; Lifton, Richard P.; Chung, Wendy K.; Kim, Richard; Shen, Yufeng; Brueckner, Martina; Goldmuntz, Elizabeth; Sharp, Andrew J.; Seidman, Christine E.; Gelb, Bruce D.; Seidman, J. G.

    2016-01-01

    Congenital heart disease (CHD), a prevalent birth defect occurring in 1% of newborns, likely results from aberrant expression of cardiac developmental genes. Mutations in a variety of cardiac transcription factors, developmental signalling molecules and molecules that modify chromatin cause at least 20% of disease, but most CHD remains unexplained. We employ RNAseq analyses to assess allele-specific expression (ASE) and biallelic loss-of-expression (LOE) in 172 tissue samples from 144 surgically repaired CHD subjects. Here we show that only 5% of known imprinted genes with paternal allele silencing are monoallelic versus 56% with paternal allele expression—this cardiac-specific phenomenon seems unrelated to CHD. Further, compared with control subjects, CHD subjects have a significant burden of both LOE genes and ASE events associated with altered gene expression. These studies identify FGFBP2, LBH, RBFOX2, SGSM1 and ZBTB16 as candidate CHD genes because of significantly altered transcriptional expression. PMID:27670201

  20. Determination of ABO genotypes by real-time PCR using allele-specific primers.

    PubMed

    Muro, Tomonori; Fujihara, Junko; Imamura, Shinji; Nakamura, Hiroaki; Kimura-Kataoka, Kaori; Toga, Tomoko; Iida, Reiko; Yasuda, Toshihiro; Takeshita, Haruo

    2012-01-01

    ABO grouping of biological specimens is informative for identifying victims and narrowing down suspects. In Japan and elsewhere, ABO grouping as well as DNA profiling plays an essential role in crime investigations. In the present study, we developed a new method for ABO genotyping using allele-specific primers and real-time PCR. The method allows for the detection of three single nucleotide polymorphisms (SNPs) at nucleotide positions 261, 796, and 803 in the ABO gene and the determination of six major ABO genotypes. This method required less than 2 h for accurate ABO genotyping using 2.0 ng of DNA. This method could be applicable for rapid and simple screening of forensic samples.

  1. Genotyping of benzimidazole resistant and susceptible isolates of Haemonchus contortus from sheep by allele specific PCR.

    PubMed

    Mohanraj, Karthik; Subhadra, Subhra; Kalyanasundaram, Aravindan; Ilangopathy, Manikkavasagan; Raman, Muthusamy

    2017-03-01

    Extensive and indiscriminate use of the benzimidazole class of drugs has led to the onset of anthelmintic resistance. In tropical countries like India, Haemonchus contortus is the most pathogenic parasite infecting sheep and goats. The widespread presence of resistant helminths (especially H. contortus) threatens the livestock farming. The use of various drugs has led to single nucleotide polymorphism that causes specific amino acid substitutions in β-tubulin protein of H. contortus to confer resistance. This emphasizes the need for a survey on the present status of resistance in India. In this study, allele specific PCR was employed to screen the presence of a SNP, a thymine-to-adenine transversion which leads to substitution of amino acid in codon 200 of β-tubulin gene that is correlated specifically with BZ resistance. Third stage larvae (L3) from pooled faecal cultures of four organized sheep farms served as a source of genomic DNA for identification of H. contortus and further genotype analysis. A total of 1000 larvae was screened, out of which 673 larvae were identified as H. contortus. Among 673 H. contortus larvae, 539 larvae (80 %) were genotyped as homozygous resistant (rr) and remaining 134 (20 %) were heterozygous susceptible (Sr) by allele specific PCR. The concluded resistance status reasons out the failure of anthelmintic drug in treating ruminants. Immediate steps are needed to avoid further aggravation of the problem. Target selective treatment by reviewing the resistance status of individual drugs, appropriate use of anthelmintic drugs and other control strategies will provide a pragmatic option for delaying the further spread of anthelmintic resistance.

  2. [Interactions between genetics and environment].

    PubMed

    Vineis, P

    1998-01-01

    From a scientific point of view, the idea that genes exert an important role in explaining human pathology has gained much popularity in recent decades. However, according to Stephen Jay Gould, the "genetic fallacy" has been repeatedly used to avoid environmental action. In the case of occupational cancer, genetic screening of workers for their susceptibility to the action of chemical carcinogens, on the basis of "metabolic polymorphisms", would be unacceptable because of racial discrimination, related to uneven racial distribution of most polymorphisms, for example, 90% of Africans and 10% of Asians have the "slow" acetylator genotype. Therefore, not only technical and scientific aspects of genetic susceptibility to cancer, but also ethical and social implication have to be considered.

  3. TFIIB/SUA7(E202G) is an allele-specific suppressor of TBP1(E186D)

    PubMed Central

    Chew, Boon Shang; Lehming, Norbert

    2007-01-01

    The TBP (TATA-box-binding protein), Tbp1p, plays a vital role in all three classes of transcription by RNA polymerases I–III. A TBP1(E186D) mutation had been described that affected interaction of Tbp1p with TFIIB (transcription factor IIB) and that caused slow-growth, temperature-sensitivity, 3-aminotriazole-sensitivity as well as a gal− phenotype. We used the TBP1(E186D) mutant for suppressor screens, and we isolated TFIIB/SUA7(E202G) as an allele-specific suppressor of all phenotypes caused by the TBP1(E186D) mutation. Our results show that the SUA7(E202G) mutation restored binding of TFIIB to Tbp1(E186D)p. In addition, we observed that Tbp1(E186D)p was expressed at a lower level than wild-type Tbp1p, and that SUA7(E202G) restored the protein level of Tbp1(E186D)p. This suggested that the TBP1(E186D) mutation might have generated its phenotypes by making Tbp1p the limiting factor for activated transcription. DNA microarray analysis indicated that the TBP1(E186D) temperature-sensitivity and slow-growth phenotypes might have been caused by insufficient amounts of Tbp1p for efficient transcription of the rRNA genes by RNA polymerase I. PMID:17680779

  4. Transcriptomes and shRNA Suppressors in a TP53 Allele-specific Model of Early-onset Colon Cancer in African Americans

    PubMed Central

    Weige, Charles C.; Birtwistle, Marc R.; Mallick, Himel; Yi, Nengjun; Berrong, Zuzana; Cloessner, Emily; Duff, Keely; Tidwell, Josephine; Clendenning, Megan; Wilkerson, Brent; Farrell, Christopher; Bunz, Fred; Ji, Hao; Shtutman, Michael; Creek, Kim E.; Banister, Carolyn E.; Buckhaults, Phillip J.

    2014-01-01

    African Americans are disproportionately affected by early-onset, high-grade malignancies. A fraction of this cancer health disparity can be explained by genetic differences between individuals of African or European descent. Here the wild-type Pro/Pro genotype at the TP53Pro72Arg (P72R) polymorphism (SNP: rs1042522) is more frequent in African Americans with cancer than in African Americans without cancer (51% vs 37%), and is associated with a significant increase in the rates of cancer diagnosis in African Americans. To test the hypothesis that p53 allele-specific gene expression may contribute to African American cancer disparities, p53 hemizygous knockout variants were generated and characterized in the RKO colon carcinoma cell line, which is wild-type for p53 and heterozygous at the TP53Pro72Arg locus. Transcriptome profiling, using RNAseq, in response to the DNA-damaging agent etoposide revealed a large number of p53-regulated transcripts, but also a subset of transcripts that were TP53Pro72Arg allele specific. In addition, a shRNA-library suppressor screen for p53 allele-specific escape from p53-induced arrest was performed. Several novel RNAi suppressors of p53 were identified, one of which, PRDM1β (BLIMP-1), was confirmed to be an Arg-specific transcript. PRDM1β silences target genes by recruiting H3K9 trimethyl (H3K9me3) repressive chromatin marks, and is necessary for stem cell differentiation. These results reveal a novel model for African American cancer disparity, in which the TP53 codon 72 allele influences lifetime cancer risk by driving damaged cells to differentiation through an epigenetic mechanism involving gene silencing. Implications TP53 P72R polymorphism significantly contributes to increased African American cancer disparity. PMID:24743655

  5. Novel method for analysis of allele specific expression in triploid Oryzias latipes reveals consistent pattern of allele exclusion.

    PubMed

    Garcia, Tzintzuni I; Matos, Isa; Shen, Yingjia; Pabuwal, Vagmita; Coelho, Maria Manuela; Wakamatsu, Yuko; Schartl, Manfred; Walter, Ronald B

    2014-01-01

    Assessing allele-specific gene expression (ASE) on a large scale continues to be a technically challenging problem. Certain biological phenomena, such as X chromosome inactivation and parental imprinting, affect ASE most drastically by completely shutting down the expression of a whole set of alleles. Other more subtle effects on ASE are likely to be much more complex and dependent on the genetic environment and are perhaps more important to understand since they may be responsible for a significant amount of biological diversity. Tools to assess ASE in a diploid biological system are becoming more reliable. Non-diploid systems are, however, not uncommon. In humans full or partial polyploid states are regularly found in both healthy (meiotic cells, polynucleated cell types) and diseased tissues (trisomies, non-disjunction events, cancerous tissues). In this work we have studied ASE in the medaka fish model system. We have developed a method for determining ASE in polyploid organisms from RNAseq data and we have implemented this method in a software tool set. As a biological model system we have used nuclear transplantation to experimentally produce artificial triploid medaka composed of three different haplomes. We measured ASE in RNA isolated from the livers of two adult, triploid medaka fish that showed a high degree of similarity. The majority of genes examined (82%) shared expression more or less evenly among the three alleles in both triploids. The rest of the genes (18%) displayed a wide range of ASE levels. Interestingly the majority of genes (78%) displayed generally consistent ASE levels in both triploid individuals. A large contingent of these genes had the same allele entirely suppressed in both triploids. When viewed in a chromosomal context, it is revealed that these genes are from large sections of 4 chromosomes and may be indicative of some broad scale suppression of gene expression.

  6. Comprehensively Evaluating cis-Regulatory Variation in the Human Prostate Transcriptome by Using Gene-Level Allele-Specific Expression

    PubMed Central

    Larson, Nicholas B.; McDonnell, Shannon; French, Amy J.; Fogarty, Zach; Cheville, John; Middha, Sumit; Riska, Shaun; Baheti, Saurabh; Nair, Asha A.; Wang, Liang; Schaid, Daniel J.; Thibodeau, Stephen N.

    2015-01-01

    The identification of cis-acting regulatory variation in primary tissues has the potential to elucidate the genetic basis of complex traits and further our understanding of transcriptomic diversity across cell types. Expression quantitative trait locus (eQTL) association analysis using RNA sequencing (RNA-seq) data can improve upon the detection of cis-acting regulatory variation by leveraging allele-specific expression (ASE) patterns in association analysis. Here, we present a comprehensive evaluation of cis-acting eQTLs by analyzing RNA-seq gene-expression data and genome-wide high-density genotypes from 471 samples of normal primary prostate tissue. Using statistical models that integrate ASE information, we identified extensive cis-eQTLs across the prostate transcriptome and found that approximately 70% of expressed genes corresponded to a significant eQTL at a gene-level false-discovery rate of 0.05. Overall, cis-eQTLs were heavily concentrated near the transcription start and stop sites of affected genes, and effects were negatively correlated with distance. We identified multiple instances of cis-acting co-regulation by using phased genotype data and discovered 233 SNPs as the most strongly associated eQTLs for more than one gene. We also noted significant enrichment (25/50, p = 2E−5) of previously reported prostate cancer risk SNPs in prostate eQTLs. Our results illustrate the benefit of assessing ASE data in cis-eQTL analyses by showing better reproducibility of prior eQTL findings than of eQTL mapping based on total expression alone. Altogether, our analysis provides extensive functional context of thousands of SNPs in prostate tissue, and these results will be of critical value in guiding studies examining disease of the human prostate. PMID:25983244

  7. Comprehensively evaluating cis-regulatory variation in the human prostate transcriptome by using gene-level allele-specific expression.

    PubMed

    Larson, Nicholas B; McDonnell, Shannon; French, Amy J; Fogarty, Zach; Cheville, John; Middha, Sumit; Riska, Shaun; Baheti, Saurabh; Nair, Asha A; Wang, Liang; Schaid, Daniel J; Thibodeau, Stephen N

    2015-06-04

    The identification of cis-acting regulatory variation in primary tissues has the potential to elucidate the genetic basis of complex traits and further our understanding of transcriptomic diversity across cell types. Expression quantitative trait locus (eQTL) association analysis using RNA sequencing (RNA-seq) data can improve upon the detection of cis-acting regulatory variation by leveraging allele-specific expression (ASE) patterns in association analysis. Here, we present a comprehensive evaluation of cis-acting eQTLs by analyzing RNA-seq gene-expression data and genome-wide high-density genotypes from 471 samples of normal primary prostate tissue. Using statistical models that integrate ASE information, we identified extensive cis-eQTLs across the prostate transcriptome and found that approximately 70% of expressed genes corresponded to a significant eQTL at a gene-level false-discovery rate of 0.05. Overall, cis-eQTLs were heavily concentrated near the transcription start and stop sites of affected genes, and effects were negatively correlated with distance. We identified multiple instances of cis-acting co-regulation by using phased genotype data and discovered 233 SNPs as the most strongly associated eQTLs for more than one gene. We also noted significant enrichment (25/50, p = 2E-5) of previously reported prostate cancer risk SNPs in prostate eQTLs. Our results illustrate the benefit of assessing ASE data in cis-eQTL analyses by showing better reproducibility of prior eQTL findings than of eQTL mapping based on total expression alone. Altogether, our analysis provides extensive functional context of thousands of SNPs in prostate tissue, and these results will be of critical value in guiding studies examining disease of the human prostate.

  8. Hypothesis: genetic and epigenetic risk factors interact to modulate vulnerability and resilience to FASD

    PubMed Central

    Tunc-Ozcan, Elif; Sittig, Laura J.; Harper, Kathryn M.; Graf, Evan N.; Redei, Eva E.

    2014-01-01

    Fetal alcohol spectrum disorder (FASD) presents a collection of symptoms representing physiological and behavioral phenotypes caused by maternal alcohol consumption. Symptom severity is modified by genetic differences in fetal susceptibility and resistance as well as maternal genetic factors such as maternal alcohol sensitivity. Animal models demonstrate that both maternal and paternal genetics contribute to the variation in the fetus' vulnerability to alcohol exposure. Maternal and paternal genetics define the variations in these phenotypes even without the effect of alcohol in utero, as most of these traits are polygenic, non-Mendelian, in their inheritance. In addition, the epigenetic alterations that instigate the alcohol induced neurodevelopmental deficits can interact with the polygenic inheritance of respective traits. Here, based on specific examples, we present the hypothesis that the principles of non-Mendelian inheritance, or “exceptions” to Mendelian genetics, can be the driving force behind the severity of the prenatal alcohol-exposed individual's symptomology. One such exception is when maternal alleles lead to an altered intrauterine hormonal environment and, therefore, produce variations in the long-term consequences on the development of the alcohol-exposed fetus. Another exception is when epigenetic regulation of allele-specific gene expression generates disequilibrium between the maternal vs. paternal genetic contributions, and thereby, modifies the effect of prenatal alcohol exposure on the fetus. We propose that these situations in which one parent has an exaggerated influence over the offspring's vulnerability to prenatal alcohol are major contributing mechanisms responsible for the variations in the symptomology of FASD in the exposed generation and beyond. PMID:25140173

  9. Allele-specific analysis of DNA replication origins in mammalian cells

    PubMed Central

    Bartholdy, Boris; Mukhopadhyay, Rituparna; Lajugie, Julien; Aladjem, Mirit I.; Bouhassira, Eric E.

    2015-01-01

    The mechanisms that control the location and timing of firing of replication origins are poorly understood. Using a novel functional genomic approach based on the analysis of SNPs and indels in phased human genomes, we observe that replication asynchrony is associated with small cumulative variations in the initiation efficiency of multiple origins between the chromosome homologues, rather than with the activation of dormant origins. Allele-specific measurements demonstrate that the presence of G-quadruplex-forming sequences does not correlate with the efficiency of initiation. Sequence analysis reveals that the origins are highly enriched in sequences with profoundly asymmetric G/C and A/T nucleotide distributions and are almost completely depleted of antiparallel triplex-forming sequences. We therefore propose that although G4-forming sequences are abundant in replication origins, an asymmetry in nucleotide distribution, which increases the propensity of origins to unwind and adopt non-B DNA structure, rather than the ability to form G4, is directly associated with origin activity. PMID:25987481

  10. Pseudoexons provide a mechanism for allele-specific expression of APC in familial adenomatous polyposis.

    PubMed

    Nieminen, Taina T; Pavicic, Walter; Porkka, Noora; Kankainen, Matti; Järvinen, Heikki J; Lepistö, Anna; Peltomäki, Päivi

    2016-10-25

    Allele-specific expression (ASE) of the Adenomatous Polyposis Coli (APC) gene occurs in up to one-third of families with adenomatous polyposis (FAP) that have screened mutation-negative by conventional techniques. To advance our understanding of the genomic basis of this phenomenon, 54 APC mutation-negative families (21 with classical FAP and 33 with attenuated FAP, AFAP) were investigated. We focused on four families with validated ASE and scrutinized these families by sequencing of the blood transcriptomes (RNA-seq) and genomes (WGS). Three families, two with classical FAP and one with AFAP, revealed deep intronic mutations associated with pseudoexons. In all three families, intronic mutations (c.646-1806T>G in intron 6, c.1408+729A>G in intron 11, and c.1408+731C>T in intron 11) created new splice donor sites resulting in the insertion of intronic sequences (of 127 bp, 83 bp, and 83 bp, respectively) in the APC transcript. The respective intronic mutations were absent in the remaining polyposis families and the general population. Premature stop of translation as the predicted consequence as well as co-segregation with polyposis supported the pathogenicity of the pseudoexons. We conclude that next generation sequencing on RNA and genomic DNA is an effective strategy to reveal and validate pseudoexons that are regularly missed by traditional screening methods and is worth considering in apparent mutation-negative polyposis families.

  11. Allele-specific deposition of macroH2A1 in Imprinting Control Regions

    SciTech Connect

    Choo, J H; Kim, J D; Chung, J H; Stubbs, L; Kim, J

    2006-01-13

    In the current study, we analyzed the deposition patterns of macroH2A1 at a number of different genomic loci located in X chromosome and autosomes. MacroH2A1 is preferentially deposited at methylated CpG CpG-rich regions located close to promoters. The macroH2A1 deposition patterns at the methylated CpG islands of several imprinted domains, including the Imprinting Control Regions (ICRs) of Xist, Peg3, H19/Igf2 Igf2, Gtl2/Dlk1, and Gnas domains, show consistent allele-specificity towards inactive, methylated alleles. The macroH2A1 deposition levels at the ICRs and other Differentially Methylated Regions (DMRs) of these domains are also either higher or comparable to those observed at the inactive X chromosome of female mammals. Overall, our results indicate that besides DNA methylation macroH2A1 is another epigenetic component in the chromatin of ICRs displaying differential association with two parental alleles.

  12. Human Y-chromosome haplotyping by allele-specific polymerase chain reaction.

    PubMed

    Gayden, Tenzin; Regueiro, Maria; Martinez, Laisel; Cadenas, Alicia M; Herrera, Rene J

    2008-06-01

    We describe the application of allele-specific PCR (AS-PCR) for screening biallelic markers, including SNPs, within the nonrecombining region of the human Y-chromosome (NRY). The AS-PCR method is based on the concept that the perfectly annealed primer-template complex is more stable, and therefore, more efficiently amplified under the appropriate annealing temperature than the complex with a mismatched 3'-residue. Furthermore, a mismatched nucleotide at the primer's 3'-OH end provides for a poor extension substrate for Taq DNA polymerase, allowing for discrimination between the two alleles. This method has the dual advantage of amplification and detection of alleles in a single expeditious and inexpensive procedure. The amplification conditions of over 50 binary markers, mostly SNPs, that define the major Y-haplogroups as well as their derived lineages were optimized and are provided for the first time. In addition, artificial restriction sites were designed for those markers that are not selectively amplified by AS-PCR. Our results are consistent with allele designations derived from other techniques such as RFLP and direct sequencing of PCR products.

  13. Molecular structure of three mutations at the maize sugary1 locus and their allele-specific phenotypic effects.

    PubMed

    Dinges, J R; Colleoni, C; Myers, A M; James, M G

    2001-03-01

    Starch production in all plants examined is altered by mutations of isoamylase-type starch-debranching enzymes (DBE), although how these proteins affect glucan polymer assembly is not understood. Various allelic mutations in the maize (Zea mays) gene sugary1 (su1), which codes for an isoamylase-type DBE, condition distinct kernel phenotypes. This study characterized the recessive mutations su1-Ref, su1-R4582::Mu1, and su1-st, regarding their molecular basis, chemical phenotypes, and effects on starch metabolizing enzymes. The su1-Ref allele results in two specific amino acid substitutions without affecting the Su1 mRNA level. The su1-R4582::Mu1 mutation is a null allele that abolishes transcript accumulation. The su1-st mutation results from insertion of a novel transposon-like sequence, designated Toad, which causes alternative pre-mRNA splicing. Three su1-st mutant transcripts are produced, one that is nonfunctional and two that code for modified SU1 polypeptides. The su1-st mutation is dominant to the null allele su1-R4582::Mu1, but recessive to su1-Ref, suggestive of complex effects involving quaternary structure of the SU1 enzyme. All three su1- alleles severely reduce or eliminate isoamylase-type DBE activity, although su1-st kernels accumulate less phytoglycogen and Suc than su1-Ref or su1-R4582::Mu1 mutants. The chain length distribution of residual amylopectin is significantly altered by su1-Ref and su1-R4582::Mu1, whereas su1-st has modest effects. These results, together with su1 allele-specific effects on other starch- metabolizing enzymes detected in zymograms, suggest that total DBE catalytic activity is the not the sole determinant of Su1 function and that specific interactions between SU1 and other components of the starch biosynthetic system are required.

  14. Molecular Structure of Three Mutations at the Maize sugary1 Locus and Their Allele-Specific Phenotypic Effects1

    PubMed Central

    Dinges, Jason R.; Colleoni, Christophe; Myers, Alan M.; James, Martha G.

    2001-01-01

    Starch production in all plants examined is altered by mutations of isoamylase-type starch-debranching enzymes (DBE), although how these proteins affect glucan polymer assembly is not understood. Various allelic mutations in the maize (Zea mays) gene sugary1 (su1), which codes for an isoamylase-type DBE, condition distinct kernel phenotypes. This study characterized the recessive mutations su1-Ref, su1-R4582::Mu1, and su1-st, regarding their molecular basis, chemical phenotypes, and effects on starch metabolizing enzymes. The su1-Ref allele results in two specific amino acid substitutions without affecting the Su1 mRNA level. The su1-R4582::Mu1 mutation is a null allele that abolishes transcript accumulation. The su1-st mutation results from insertion of a novel transposon-like sequence, designated Toad, which causes alternative pre-mRNA splicing. Three su1-st mutant transcripts are produced, one that is nonfunctional and two that code for modified SU1 polypeptides. The su1-st mutation is dominant to the null allele su1-R4582::Mu1, but recessive to su1-Ref, suggestive of complex effects involving quaternary structure of the SU1 enzyme. All three su1- alleles severely reduce or eliminate isoamylase-type DBE activity, although su1-st kernels accumulate less phytoglycogen and Suc than su1-Ref or su1-R4582::Mu1 mutants. The chain length distribution of residual amylopectin is significantly altered by su1-Ref and su1-R4582::Mu1, whereas su1-st has modest effects. These results, together with su1 allele-specific effects on other starch- metabolizing enzymes detected in zymograms, suggest that total DBE catalytic activity is the not the sole determinant of Su1 function and that specific interactions between SU1 and other components of the starch biosynthetic system are required. PMID:11244120

  15. Genetic Interaction Landscape Reveals Critical Requirements for Schizosaccharomyces pombe Brc1 in DNA Damage Response Mutants

    PubMed Central

    Sánchez, Arancha; Roguev, Assen; Krogan, Nevan J.; Russell, Paul

    2015-01-01

    Brc1, which was first identified as a high-copy, allele-specific suppressor of a mutation impairing the Smc5-Smc6 holocomplex in Schizosaccharomyces pombe, protects genome integrity during normal DNA replication and when cells are exposed to toxic compounds that stall or collapse replication forks. The C-terminal tandem BRCT (BRCA1 C-terminus) domain of fission yeast Brc1 docks with phosphorylated histone H2A (γH2A)-marked chromatin formed by ATR/Rad3 checkpoint kinase at arrested and damaged replication forks; however, how Brc1 functions in relation to other genome protection modules remains unclear. Here, an epistatic mini-array profile reveals critical requirements for Brc1 in mutants that are defective in multiple DNA damage response pathways, including checkpoint signaling by Rad3-Rad26/ATR-ATRIP kinase, DNA repair by Smc5-Smc6 holocomplex, replication fork stabilization by Mrc1/claspin and Swi1-Swi3/Timeless-Tipin, and control of ubiquitin-regulated proteolysis by the COP9 signalosome (CSN). Exogenous genotoxins enhance these negative genetic interactions. Rad52 and RPA foci are increased in CSN-defective cells, and loss of γH2A increases genotoxin sensitivity, indicating a critical role for the γH2A-Brc1 module in stabilizing replication forks in CSN-defective cells. A negative genetic interaction with the Nse6 subunit of Smc5-Smc6 holocomplex indicates that the DNA repair functions of Brc1 and Smc5-Smc6 holocomplex are at least partially independent. Rtt107, the Brc1 homolog in Saccharomyces cerevisiae, has a very different pattern of genetic interactions, indicating evolutionary divergence of functions and DNA damage responses. PMID:25795664

  16. Characterization and machine learning prediction of allele-specific DNA methylation.

    PubMed

    He, Jianlin; Sun, Ming-an; Wang, Zhong; Wang, Qianfei; Li, Qing; Xie, Hehuang

    2015-12-01

    A large collection of Single Nucleotide Polymorphisms (SNPs) has been identified in the human genome. Currently, the epigenetic influences of SNPs on their neighboring CpG sites remain elusive. A growing body of evidence suggests that locus-specific information, including genomic features and local epigenetic state, may play important roles in the epigenetic readout of SNPs. In this study, we made use of mouse methylomes with known SNPs to develop statistical models for the prediction of SNP associated allele-specific DNA methylation (ASM). ASM has been classified into parent-of-origin dependent ASM (P-ASM) and sequence-dependent ASM (S-ASM), which comprises scattered-S-ASM (sS-ASM) and clustered-S-ASM (cS-ASM). We found that P-ASM and cS-ASM CpG sites are both enriched in CpG rich regions, promoters and exons, while sS-ASM CpG sites are enriched in simple repeat and regions with high frequent SNP occurrence. Using Lasso-grouped Logistic Regression (LGLR), we selected 21 out of 282 genomic and methylation related features that are powerful in distinguishing cS-ASM CpG sites and trained the classifiers with machine learning techniques. Based on 5-fold cross-validation, the logistic regression classifier was found to be the best for cS-ASM prediction with an ACC of 0.77, an AUC of 0.84 and an MCC of 0.54. Lastly, we applied the logistic regression classifier on human brain methylome and predicted 608 genes associated with cS-ASM. Gene ontology term enrichment analysis indicated that these cS-ASM associated genes are significantly enriched in the category coding for transcripts with alternative splicing forms. In summary, this study provided an analytical procedure for cS-ASM prediction and shed new light on the understanding of different types of ASM events.

  17. Efficient and Allele-Specific Genome Editing of Disease Loci in Human iPSCs

    PubMed Central

    Smith, Cory; Abalde-Atristain, Leire; He, Chaoxia; Brodsky, Brett R; Braunstein, Evan M; Chaudhari, Pooja; Jang, Yoon-Young; Cheng, Linzhao; Ye, Zhaohui

    2015-01-01

    Efficient and precise genome editing is crucial for realizing the full research and therapeutic potential of human induced pluripotent stem cells (iPSCs). Engineered nucleases including CRISPR/Cas9 and transcription activator like effector nucleases (TALENs) provide powerful tools for enhancing gene-targeting efficiency. In this study, we investigated the relative efficiencies of CRISPR/Cas9 and TALENs in human iPSC lines for inducing both homologous donor-based precise genome editing and nonhomologous end joining (NHEJ)-mediated gene disruption. Significantly higher frequencies of NHEJ-mediated insertions/deletions were detected at several endogenous loci using CRISPR/Cas9 than using TALENs, especially at nonexpressed targets in iPSCs. In contrast, comparable efficiencies of inducing homologous donor-based genome editing were observed at disease-associated loci in iPSCs. In addition, we investigated the specificity of guide RNAs used in the CRISPR/Cas9 system in targeting disease-associated point mutations in patient-specific iPSCs. Using myeloproliferative neoplasm patient-derived iPSCs that carry an acquired JAK2-V617F point mutation and α1-antitrypsin (AAT) deficiency patient-derived iPSCs that carry an inherited Z-AAT point mutation, we demonstrate that Cas9 can specifically target either the mutant or the wild-type allele with little disruption at the other allele differing by a single nucleotide. Overall, our results demonstrate the advantages of the CRISPR/Cas9 system in allele-specific genome targeting and in NHEJ-mediated gene disruption. PMID:25418680

  18. Mechanisms and Disease Associations of Haplotype-Dependent Allele-Specific DNA Methylation

    PubMed Central

    Do, Catherine; Lang, Charles F.; Lin, John; Darbary, Huferesh; Krupska, Izabela; Gaba, Aulona; Petukhova, Lynn; Vonsattel, Jean-Paul; Gallagher, Mary P.; Goland, Robin S.; Clynes, Raphael A.; Dwork, Andrew; Kral, John G.; Monk, Catherine; Christiano, Angela M.; Tycko, Benjamin

    2016-01-01

    Haplotype-dependent allele-specific methylation (hap-ASM) can impact disease susceptibility, but maps of this phenomenon using stringent criteria in disease-relevant tissues remain sparse. Here we apply array-based and Methyl-Seq approaches to multiple human tissues and cell types, including brain, purified neurons and glia, T lymphocytes, and placenta, and identify 795 hap-ASM differentially methylated regions (DMRs) and 3,082 strong methylation quantitative trait loci (mQTLs), most not previously reported. More than half of these DMRs have cell type-restricted ASM, and among them are 188 hap-ASM DMRs and 933 mQTLs located near GWAS signals for immune and neurological disorders. Targeted bis-seq confirmed hap-ASM in 12/13 loci tested, including CCDC155, CD69, FRMD1, IRF1, KBTBD11, and S100A∗-ILF2, associated with immune phenotypes, MYT1L, PTPRN2, CMTM8 and CELF2, associated with neurological disorders, NGFR and HLA-DRB6, associated with both immunological and brain disorders, and ZFP57, a trans-acting regulator of genomic imprinting. Polymorphic CTCF and transcription factor (TF) binding sites were over-represented among hap-ASM DMRs and mQTLs, and analysis of the human data, supplemented by cross-species comparisons to macaques, indicated that CTCF and TF binding likelihood predicts the strength and direction of the allelic methylation asymmetry. These results show that hap-ASM is highly tissue specific; an important trans-acting regulator of genomic imprinting is regulated by this phenomenon; and variation in CTCF and TF binding sites is an underlying mechanism, and maps of hap-ASM and mQTLs reveal regulatory sequences underlying supra- and sub-threshold GWAS peaks in immunological and neurological disorders. PMID:27153397

  19. Molecular basis of allele-specific efficacy of a blood-stage malaria vaccine: vaccine development implications.

    PubMed

    Ouattara, Amed; Takala-Harrison, Shannon; Thera, Mahamadou A; Coulibaly, Drissa; Niangaly, Amadou; Saye, Renion; Tolo, Youssouf; Dutta, Sheetij; Heppner, D Gray; Soisson, Lorraine; Diggs, Carter L; Vekemans, Johan; Cohen, Joe; Blackwelder, William C; Dube, Tina; Laurens, Matthew B; Doumbo, Ogobara K; Plowe, Christopher V

    2013-02-01

    The disappointing efficacy of blood-stage malaria vaccines may be explained in part by allele-specific immune responses that are directed against polymorphic epitopes on blood-stage antigens. FMP2.1/AS02(A), a blood-stage candidate vaccine based on apical membrane antigen 1 (AMA1) from the 3D7 strain of Plasmodium falciparum, had allele-specific efficacy against clinical malaria in a phase II trial in Malian children. We assessed the cross-protective efficacy of the malaria vaccine and inferred which polymorphic amino acid positions in AMA1 were the targets of protective allele-specific immune responses. FMP2.1/AS02(A) had the highest efficacy against AMA1 alleles that were identical to the 3D7 vaccine-type allele at 8 highly polymorphic amino acid positions in the cluster 1 loop (c1L) but differed from 3D7 elsewhere in the molecule. Comparison of the incidence of vaccine-type alleles before and after vaccination in the malaria vaccine and control groups and examination of the patterns of allele change at polymorphic positions in consecutive malaria episodes suggest that the highly polymorphic amino acid position 197 in c1L was the most critical determinant of allele-specific efficacy. These results indicate that a multivalent AMA1 vaccine with broad efficacy could include only a limited set of key alleles of this extremely polymorphic antigen.

  20. Allele-specific H3K79 Di- versus trimethylation distinguishes opposite parental alleles at imprinted regions.

    PubMed

    Singh, Purnima; Han, Li; Rivas, Guillermo E; Lee, Dong-Hoon; Nicholson, Thomas B; Larson, Garrett P; Chen, Taiping; Szabó, Piroska E

    2010-06-01

    Imprinted gene expression corresponds to parental allele-specific DNA CpG methylation and chromatin composition. Histone tail covalent modifications have been extensively studied, but it is not known whether modifications in the histone globular domains can also discriminate between the parental alleles. Using multiplex chromatin immunoprecipitation-single nucleotide primer extension (ChIP-SNuPE) assays, we measured the allele-specific enrichment of H3K79 methylation and H4K91 acetylation along the H19/Igf2 imprinted domain. Whereas H3K79me1, H3K79me2, and H4K91ac displayed a paternal-specific enrichment at the paternally expressed Igf2 locus, H3K79me3 was paternally biased at the maternally expressed H19 locus, including the paternally methylated imprinting control region (ICR). We found that these allele-specific differences depended on CTCF binding in the maternal ICR allele. We analyzed an additional 11 differentially methylated regions (DMRs) and found that, in general, H3K79me3 was associated with the CpG-methylated alleles, whereas H3K79me1, H3K79me2, and H4K91ac enrichment was specific to the unmethylated alleles. Our data suggest that allele-specific differences in the globular histone domains may constitute a layer of the "histone code" at imprinted genes.

  1. Genetic interactions affecting touch sensitivity in Caenorhabditis elegans.

    PubMed

    Gu, G; Caldwell, G A; Chalfie, M

    1996-06-25

    At least 13 genes (mec-1, mec-2, mec-4-10, mec-12, mec-14, mec-15, and mec-18) are needed for the response to gentle touch by 6 touch receptor neurons in the nematode Caenorhabditis elegans. Several, otherwise recessive alleles of some of these genes act as dominant enhancer mutations of temperature-sensitive alleles of mec-4, mec-5, mec-6, mec-12, and mec-15. Screens for additional dominant enhancers of mec-4 and mec-5 yielded mutations in previously known genes. In addition, some mec-7 alleles showed allele-specific, dominant suppression of the mec-15 touch-insensitive (Mec) phenotype. The dominant enhancement and suppression exhibited by these mutations suggest that the products of several touch genes interact. These results are consistent with a model, supported by the known sequences of these genes, that almost all of the touch function genes contribute to the mechanosensory apparatus.

  2. Analysis of genomic imprinting by quantitative allele-specific expression by Pyrosequencing(®).

    PubMed

    McKeown, Peter C; Fort, Antoine; Spillane, Charles

    2014-01-01

    Genomic imprinting is a parent-of-origin phenomenon whereby gene expression is restricted to the allele inherited from either the maternal or paternal parent. It has been described from flowering plants and eutherian mammals and may have evolved due to parental conflicts over resource allocation. In mammals, imprinted genes are responsible for ensuring correct rates of embryo development and for preventing parthenogenesis. The molecular basis of imprinting depends upon the presence of differential epigenetic marks on the alleles inherited from each parent, although in plants the exact mechanisms that control imprinting are still unclear in many cases. Recent studies have identified large numbers of candidate imprinted genes from Arabidopsis thaliana and other plants (see Chap. 7 by Köhler and colleagues elsewhere in this volume) providing the tools for more thorough investigation into how imprinted gene networks (IGNs) are regulated. Analysis of genomic imprinting in animals has revealed important information on how IGNs are regulated during development, which often involves intermediate levels of imprinting. In some instances, small but significant changes in the degree of parental bias in gene expression have been linked to developmental traits, livestock phenotypes, and human disease. As some of the imprinted genes recently reported from plants show differential rather than complete (binary) imprinting, there is a clear need for tools that can quantify the degree of allelic expression bias occurring at a transcribed locus. In this chapter, we describe the use of Quantification of Allele-Specific Expression by Pyrosequencing(®) (QUASEP) as a tool suitable for this challenge. We describe in detail the factors which ensure that a Pyrosequencing(®) assay will be suitable for giving robust QUASEP and the problems which may be encountered during the study of imprinted genes by Pyrosequencing(®), with particular reference to our work in A. thaliana and in cattle

  3. Allele-specific effects of ecSOD on asbestos-induced fibroproliferative lung disease in mice.

    PubMed

    Jun, Sujung; Fattman, Cheryl L; Kim, Byung-Jin; Jones, Harlan; Dory, Ladislav

    2011-05-15

    resistance to asbestos-induced lung injury reported for the 129/J strain of mice. The data further suggest allele-specific differences in the regulation of ecSOD expression. These congenic mice therefore represent a very useful model to study the role of this enzyme in all inflammatory diseases. Polymorphisms in human ecSOD have also been reported and it appears logical to assume that such variations may have a profound effect on disease susceptibility.

  4. Fashion sketch design by interactive genetic algorithms

    NASA Astrophysics Data System (ADS)

    Mok, P. Y.; Wang, X. X.; Xu, J.; Kwok, Y. L.

    2012-11-01

    Computer aided design is vitally important for the modern industry, particularly for the creative industry. Fashion industry faced intensive challenges to shorten the product development process. In this paper, a methodology is proposed for sketch design based on interactive genetic algorithms. The sketch design system consists of a sketch design model, a database and a multi-stage sketch design engine. First, a sketch design model is developed based on the knowledge of fashion design to describe fashion product characteristics by using parameters. Second, a database is built based on the proposed sketch design model to define general style elements. Third, a multi-stage sketch design engine is used to construct the design. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch design process. The experimental results have demonstrated that the proposed method is effective in helping laypersons achieve satisfied fashion design sketches.

  5. Species interactions differ in their genetic robustness

    DOE PAGES

    Chubiz, Lon M.; Granger, Brian R.; Segre, Daniel; ...

    2015-04-14

    Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S.more » enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.« less

  6. [Microchip electrophoresis coupled with multiplex allele-specific am-plification for typing multiple single nucleotide polymorphisms (SNPs) simultaneously].

    PubMed

    Wang, Wei-Peng; Zhou, Guo-Hua

    2009-02-01

    A new method of DNA adapter ligation-mediated allele-specific amplification (ALM-ASA) was developed for typing multiple single nucleotide polymorphisms (SNPs) on the platform of microchip electrophoresis. Using seven SNPs of 794C>T, 1274C>T, 2143T>C, 2766T>del, 3298G>A, 5200G>A, and 5277C>T in the interleukin 1B (IL1B) gene as a target object, a long DNA fragment containing the seven SNPs of interest was pre-amplified to enhance the specificity. The pre-amplified DNA fragment was digested by a restriction endonuclease to form sticky ends; and then the adapter was ligated to either end of the digested fragment. Using the adapter-ligated fragments as templates, a 7-plex allele-specific amplification was performed by 7 allele-specific primers and a universal primer in one tube. The allele-specific products amplified were separated by chip electrophoresis and the types of SNPs were easily discriminated by the product sizes. The seven SNPs in IL1B gene in 48 healthy Chinese were successfully typed by microchip electrophoresis and the results coincided with those by PCR-restriction fragment length polymorphism and sequencing method. The method established was accurate and can be used to type multiple SNPs simultaneously. In combination with microchip electrophoresis for readout, ALM-ASA assay can be used for fast SNP detection with a small amount of sample. Using self-prepared gel matrix and reused chips for analysis, the SNP can be typed at an ultra low cost.

  7. Huntingtin Haplotypes Provide Prioritized Target Panels for Allele-specific Silencing in Huntington Disease Patients of European Ancestry.

    PubMed

    Kay, Chris; Collins, Jennifer A; Skotte, Niels H; Southwell, Amber L; Warby, Simon C; Caron, Nicholas S; Doty, Crystal N; Nguyen, Betty; Griguoli, Annamaria; Ross, Colin J; Squitieri, Ferdinando; Hayden, Michael R

    2015-11-01

    Huntington disease (HD) is a dominant neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin gene (HTT). Heterozygous polymorphisms in cis with the mutation allow for allele-specific suppression of the pathogenic HTT transcript as a therapeutic strategy. To prioritize target selection, precise heterozygosity estimates are needed across diverse HD patient populations. Here we present the first comprehensive investigation of all common target alleles across the HTT gene, using 738 reference haplotypes from the 1000 Genomes Project and 2364 haplotypes from HD patients and relatives in Canada, Sweden, France, and Italy. The most common HD haplotypes (A1, A2, and A3a) define mutually exclusive sets of polymorphisms for allele-specific therapy in the greatest number of patients. Across all four populations, a maximum of 80% are treatable using these three target haplotypes. We identify a novel deletion found exclusively on the A1 haplotype, enabling potent and selective silencing of mutant HTT in approximately 40% of the patients. Antisense oligonucleotides complementary to the deletion reduce mutant A1 HTT mRNA by 78% in patient cells while sparing wild-type HTT expression. By suppressing specific haplotypes on which expanded CAG occurs, we demonstrate a rational approach to the development of allele-specific therapy for a monogenic disorder.

  8. Huntingtin Haplotypes Provide Prioritized Target Panels for Allele-specific Silencing in Huntington Disease Patients of European Ancestry

    PubMed Central

    Kay, Chris; Collins, Jennifer A; Skotte, Niels H; Southwell, Amber L; Warby, Simon C; Caron, Nicholas S; Doty, Crystal N; Nguyen, Betty; Griguoli, Annamaria; Ross, Colin J; Squitieri, Ferdinando; Hayden, Michael R

    2015-01-01

    Huntington disease (HD) is a dominant neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin gene (HTT). Heterozygous polymorphisms in cis with the mutation allow for allele-specific suppression of the pathogenic HTT transcript as a therapeutic strategy. To prioritize target selection, precise heterozygosity estimates are needed across diverse HD patient populations. Here we present the first comprehensive investigation of all common target alleles across the HTT gene, using 738 reference haplotypes from the 1000 Genomes Project and 2364 haplotypes from HD patients and relatives in Canada, Sweden, France, and Italy. The most common HD haplotypes (A1, A2, and A3a) define mutually exclusive sets of polymorphisms for allele-specific therapy in the greatest number of patients. Across all four populations, a maximum of 80% are treatable using these three target haplotypes. We identify a novel deletion found exclusively on the A1 haplotype, enabling potent and selective silencing of mutant HTT in approximately 40% of the patients. Antisense oligonucleotides complementary to the deletion reduce mutant A1 HTT mRNA by 78% in patient cells while sparing wild-type HTT expression. By suppressing specific haplotypes on which expanded CAG occurs, we demonstrate a rational approach to the development of allele-specific therapy for a monogenic disorder. PMID:26201449

  9. Efficient CRISPR-rAAV engineering of endogenous genes to study protein function by allele-specific RNAi.

    PubMed

    Kaulich, Manuel; Lee, Yeon J; Lönn, Peter; Springer, Aaron D; Meade, Bryan R; Dowdy, Steven F

    2015-04-20

    Gene knockout strategies, RNAi and rescue experiments are all employed to study mammalian gene function. However, the disadvantages of these approaches include: loss of function adaptation, reduced viability and gene overexpression that rarely matches endogenous levels. Here, we developed an endogenous gene knockdown/rescue strategy that combines RNAi selectivity with a highly efficient CRISPR directed recombinant Adeno-Associated Virus (rAAV) mediated gene targeting approach to introduce allele-specific mutations plus an allele-selective siRNA Sensitive (siSN) site that allows for studying gene mutations while maintaining endogenous expression and regulation of the gene of interest. CRISPR/Cas9 plus rAAV targeted gene-replacement and introduction of allele-specific RNAi sensitivity mutations in the CDK2 and CDK1 genes resulted in a >85% site-specific recombination of Neo-resistant clones versus ∼8% for rAAV alone. RNAi knockdown of wild type (WT) Cdk2 with siWT in heterozygotic knockin cells resulted in the mutant Cdk2 phenotype cell cycle arrest, whereas allele specific knockdown of mutant CDK2 with siSN resulted in a wild type phenotype. Together, these observations demonstrate the ability of CRISPR plus rAAV to efficiently recombine a genomic locus and tag it with a selective siRNA sequence that allows for allele-selective phenotypic assays of the gene of interest while it remains expressed and regulated under endogenous control mechanisms.

  10. Interacting personalities: behavioural ecology meets quantitative genetics.

    PubMed

    Dingemanse, Niels J; Araya-Ajoy, Yimen G

    2015-02-01

    Behavioural ecologists increasingly study behavioural variation within and among individuals in conjunction, thereby integrating research on phenotypic plasticity and animal personality within a single adaptive framework. Interactions between individuals (cf. social environments) constitute a major causative factor of behavioural variation at both of these hierarchical levels. Social interactions give rise to complex 'interactive phenotypes' and group-level emergent properties. This type of phenotype has intriguing evolutionary implications, warranting a cohesive framework for its study. We detail here how a reaction-norm framework might be applied to usefully integrate social environment theory developed in behavioural ecology and quantitative genetics. The proposed emergent framework facilitates firm integration of social environments in adaptive research on phenotypic characters that vary within and among individuals.

  11. Species interactions differ in their genetic robustness

    SciTech Connect

    Chubiz, Lon M.; Granger, Brian R.; Segre, Daniel; Harcombe, William R.

    2015-04-14

    Conflict and cooperation between bacterial species drive the composition and function of microbial communities. Stability of these emergent properties will be influenced by the degree to which species' interactions are robust to genetic perturbations. We use genome-scale metabolic modeling to computationally analyze the impact of genetic changes when Escherichia coli and Salmonella enterica compete, or cooperate. We systematically knocked out in silico each reaction in the metabolic network of E. coli to construct all 2583 mutant stoichiometric models. Then, using a recently developed multi-scale computational framework, we simulated the growth of each mutant E. coli in the presence of S. enterica. The type of interaction between species was set by modulating the initial metabolites present in the environment. We found that the community was most robust to genetic perturbations when the organisms were cooperating. Species ratios were more stable in the cooperative community, and community biomass had equal variance in the two contexts. Additionally, the number of mutations that have a substantial effect is lower when the species cooperate than when they are competing. In contrast, when mutations were added to the S. enterica network the system was more robust when the bacteria were competing. These results highlight the utility of connecting metabolic mechanisms and studies of ecological stability. Cooperation and conflict alter the connection between genetic changes and properties that emerge at higher levels of biological organization.

  12. Analyses of Allele-Specific Gene Expression in Highly Divergent Mouse Crosses Identifies Pervasive Allelic Imbalance

    PubMed Central

    Crowley, James J; Zhabotynsky, Vasyl; Sun, Wei; Huang, Shunping; Pakatci, Isa Kemal; Kim, Yunjung; Wang, Jeremy R; Morgan, Andrew P; Calaway, John D; Aylor, David L; Yun, Zaining; Bell, Timothy A; Buus, Ryan J; Calaway, Mark E; Didion, John P; Gooch, Terry J; Hansen, Stephanie D; Robinson, Nashiya N; Shaw, Ginger D; Spence, Jason S; Quackenbush, Corey R; Barrick, Cordelia J; Nonneman, Randal J.; Kim, Kyungsu; Xenakis, James; Xie, Yuying; Valdar, William; Lenarcic, Alan B; Wang, Wei; Welsh, Catherine E; Fu, Chen-Ping; Zhang, Zhaojun; Holt, James; Guo, Zhishan; Threadgill, David W; Tarantino, Lisa M; Miller, Darla R; Zou, Fei; McMillan, Leonard; Sullivan, Patrick F; de Villena, Fernando Pardo-Manuel

    2015-01-01

    Complex human traits are influenced by variation in regulatory DNA through mechanisms that are not fully understood. Since regulatory elements are conserved between humans and mice, a thorough annotation of cis regulatory variants in mice could aid in this process. Here we provide a detailed portrait of mouse gene expression across multiple tissues in a three-way diallel. Greater than 80% of mouse genes have cis regulatory variation. These effects influence complex traits and usually extend to the human ortholog. Further, we estimate that at least one in every thousand SNPs creates a cis regulatory effect. We also observe two types of parent-of-origin effects, including classical imprinting and a novel, global allelic imbalance in favor of the paternal allele. We conclude that, as with humans, pervasive regulatory variation influences complex genetic traits in mice and provide a new resource toward understanding the genetic control of transcription in mammals. PMID:25730764

  13. Allele-Specific Transcriptome and Methylome Analysis Reveals Stable Inheritance and Cis-Regulation of DNA Methylation in Nasonia

    PubMed Central

    Wang, Xu; Clark, Andrew G.

    2016-01-01

    Gene expression divergence between closely related species could be attributed to both cis- and trans- DNA sequence changes during evolution, but it is unclear how the evolutionary dynamics of epigenetic marks are regulated. In eutherian mammals, biparental DNA methylation marks are erased and reset during gametogenesis, resulting in paternal or maternal imprints, which lead to genomic imprinting. Whether DNA methylation reprogramming exists in insects is not known. Wasps of the genus Nasonia are non-social parasitoids that are emerging as a model for studies of epigenetic processes in insects. In this study, we quantified allele-specific expression and methylation genome-wide in Nasonia vitripennis and Nasonia giraulti and their reciprocal F1 hybrids. No parent-of-origin effect in allelic expression was found for >8,000 covered genes, suggesting a lack of genomic imprinting in adult Nasonia. As we expected, both significant cis- and trans- effects are responsible for the expression divergence between N. vitripennis and N. giraulti. Surprisingly, all 178 differentially methylated genes are also differentially methylated between the two alleles in F1 hybrid offspring, recapitulating the parental methylation status with nearly 100% fidelity, indicating the presence of strong cis-elements driving the target of gene body methylation. In addition, we discovered that total and allele-specific expression are positively correlated with allele-specific methylation in a subset of the differentially methylated genes. The 100% cis-regulation in F1 hybrids suggests the methylation machinery is conserved and DNA methylation is targeted by cis features in Nasonia. The lack of genomic imprinting and parent-of-origin differentially methylated regions in Nasonia, together with the stable inheritance of methylation status between generations, suggests either a cis-regulatory motif for methylation at the DNA level or highly stable inheritance of an epigenetic signal in Nasonia. PMID

  14. Quantitative Analysis of Triple Mutant Genetic Interactions

    PubMed Central

    Braberg, Hannes; Alexander, Richard; Shales, Michael; Xu, Jiewei; Franks-Skiba, Kathleen E.; Wu, Qiuqin; Haber, James E.; Krogan, Nevan J.

    2014-01-01

    The quantitative analysis of genetic interactions between pairs of gene mutations has proven effective for characterizing cellular functions but can miss important interactions for functionally redundant genes. To address this limitation, we have developed an approach termed Triple Mutant Analysis (TMA). The procedure relies on a query strain that contains two deletions in a pair of redundant or otherwise related genes, that is crossed against a panel of candidate deletion strains to isolate triple mutants and measure their growth. A central feature of TMA is to interrogate mutants that are synthetically sick when two other genes are deleted but interact minimally with either single deletion. This approach has been valuable for discovering genes that restore critical functions when the principle actors are deleted. TMA has also uncovered double mutant combinations that produce severe defects because a third protein becomes deregulated and acts in a deleterious fashion, and it has revealed functional differences between proteins presumed to act together. The protocol is optimized for Singer ROTOR pinning robots, takes 3 weeks to complete, and measures interactions for up to 30 double mutants against a library of 1536 single mutants. PMID:25010907

  15. Development of Nuclear Microsatellite Loci and Mitochondrial Single Nucleotide Polymorphisms for the Natterjack Toad, Bufo (Epidalea) calamita (Bufonidae), Using Next Generation Sequencing and Competitive Allele Specific PCR (KASPar).

    PubMed

    Faucher, Leslie; Godé, Cécile; Arnaud, Jean-François

    2016-01-01

    Amphibians are undergoing a major decline worldwide and the steady increase in the number of threatened species in this particular taxa highlights the need for conservation genetics studies using high-quality molecular markers. The natterjack toad, Bufo (Epidalea) calamita, is a vulnerable pioneering species confined to specialized habitats in Western Europe. To provide efficient and cost-effective genetic resources for conservation biologists, we developed and characterized 22 new nuclear microsatellite markers using next-generation sequencing. We also used sequence data acquired from Sanger sequencing to develop the first mitochondrial markers for KASPar assay genotyping. Genetic polymorphism was then analyzed for 95 toads sampled from 5 populations in France. For polymorphic microsatellite loci, number of alleles and expected heterozygosity ranged from 2 to 14 and from 0.035 to 0.720, respectively. No significant departures from panmixia were observed (mean multilocus F IS = -0.015) and population differentiation was substantial (mean multilocus F ST = 0.222, P < 0.001). From a set of 18 mitochondrial SNPs located in the 16S and D-loop region, we further developed a fast and cost-effective SNP genotyping method based on competitive allele-specific PCR amplification (KASPar). The combination of allelic states for these mitochondrial DNA SNP markers yielded 10 different haplotypes, ranging from 2 to 5 within populations. Populations were highly differentiated (G ST = 0.407, P < 0.001). These new genetic resources will facilitate future parentage, population genetics and phylogeographical studies and will be useful for both evolutionary and conservation concerns, especially for the set-up of management strategies and the definition of distinct evolutionary significant units.

  16. Identification of self-incompatibility genotypes of apricot (Prunus armeniaca L.) by S-allele-specific PCR analysis.

    PubMed

    Jie, Qi; Shupeng, Gai; Jixiang, Zhang; Manru, Gu; Huairui, Shu

    2005-08-01

    A cDNA of 417 bp encoding an S-RNase gene, named PA S3, was isolated from apricot, Prunus aremeniaca. Nine S-alleles, S1-S9, were recognized by S-allele-specific PCR and confirmed by Southern blot analysis using PA S3 as probe. The S-genotypes of the six cultivars were determined and the results of self- and cross-pollination tests among the six cultivars were consistent with the predicted S-haplotypes by PCR analysis.

  17. A Genetic Interaction Screen for Breast Cancer Progression Driver Genes

    DTIC Science & Technology

    2013-06-01

    AD_________________ Award Number: W81XWH-12-1-0082 TITLE: A Genetic Interaction Screen for Breast...COVERED 1 2012 - 3 2013 4. TITLE AND SUBTITLE A Genetic Interaction Screen for Breast Cancer Progression Driver Genes 5a. CONTRACT NUMBER...analysis of genetic alterations in human breast cancers has revealed that individual tumors accumulate mutations in approximately ninety different genes

  18. Predictability of Genetic Interactions from Functional Gene Modules

    PubMed Central

    Young, Jonathan H.; Marcotte, Edward M.

    2016-01-01

    Characterizing genetic interactions is crucial to understanding cellular and organismal response to gene-level perturbations. Such knowledge can inform the selection of candidate disease therapy targets, yet experimentally determining whether genes interact is technically nontrivial and time-consuming. High-fidelity prediction of different classes of genetic interactions in multiple organisms would substantially alleviate this experimental burden. Under the hypothesis that functionally related genes tend to share common genetic interaction partners, we evaluate a computational approach to predict genetic interactions in Homo sapiens, Drosophila melanogaster, and Saccharomyces cerevisiae. By leveraging knowledge of functional relationships between genes, we cross-validate predictions on known genetic interactions and observe high predictive power of multiple classes of genetic interactions in all three organisms. Additionally, our method suggests high-confidence candidate interaction pairs that can be directly experimentally tested. A web application is provided for users to query genes for predicted novel genetic interaction partners. Finally, by subsampling the known yeast genetic interaction network, we found that novel genetic interactions are predictable even when knowledge of currently known interactions is minimal. PMID:28007839

  19. Allele-specific RNA interference rescues the long-QT syndrome phenotype in human-induced pluripotency stem cell cardiomyocytes

    PubMed Central

    Matsa, Elena; Dixon, James E.; Medway, Christopher; Georgiou, Orestis; Patel, Minal J.; Morgan, Kevin; Kemp, Paul J.; Staniforth, Andrew; Mellor, Ian; Denning, Chris

    2014-01-01

    Aims Long-QT syndromes (LQTS) are mostly autosomal-dominant congenital disorders associated with a 1:1000 mutation frequency, cardiac arrest, and sudden death. We sought to use cardiomyocytes derived from human-induced pluripotency stem cells (hiPSCs) as an in vitro model to develop and evaluate gene-based therapeutics for the treatment of LQTS. Methods and results We produced LQTS-type 2 (LQT2) hiPSC cardiomyocytes carrying a KCNH2 c.G1681A mutation in a IKr ion-channel pore, which caused impaired glycosylation and channel transport to cell surface. Allele-specific RNA interference (RNAi) directed towards the mutated KCNH2 mRNA caused knockdown, while leaving the wild-type mRNA unaffected. Electrophysiological analysis of patient-derived LQT2 hiPSC cardiomyocytes treated with mutation-specific siRNAs showed normalized action potential durations (APDs) and K+ currents with the concurrent rescue of spontaneous and drug-induced arrhythmias (presented as early-afterdepolarizations). Conclusions These findings provide in vitro evidence that allele-specific RNAi can rescue diseased phenotype in LQTS cardiomyocytes. This is a potentially novel route for the treatment of many autosomal-dominant-negative disorders, including those of the heart. PMID:23470493

  20. Design of allele-specific primers and detection of the human ABO genotyping to avoid the pseudopositive problem.

    PubMed

    Yaku, Hidenobu; Yukimasa, Tetsuo; Nakano, Shu-ichi; Sugimoto, Naoki; Oka, Hiroaki

    2008-11-01

    PCR experiments using DNA primers forming mismatch pairing with template lambda DNA at the 3' end were carried out in order to develop allele-specific primers capable of detecting SNP in genomes without generating pseudopositive amplification products, and thus avoiding the so-called pseudopositive problem. Detectable amounts of PCR products were obtained when primers forming a single or two mismatch pairings at the 3' end were used. In particular, 3' terminal A/C or T/C (primer/template) mismatches tended to allow PCR amplification to proceed, resulting in pseudopositive results in many cases. While less PCR product was observed for primers forming three terminal mismatch pairings, target DNA sequences were efficiently amplified by primers forming two mismatch pairings next to the terminal G/C base pairing. These results indicate that selecting a primer having a 3' terminal nucleotide that recognizes the SNP nucleotide and the next two nucleotides that form mismatch pairings with the template sequence can be used as an allele-specific primer that eliminates the pseudopositive problem. Trials with the human ABO genes demonstrated that this primer design is also useful for detecting a single base pair difference in gene sequences with a signal-to-noise ratio of at least 45.

  1. Rapid quantification of single-nucleotide mutations in mixed influenza A viral populations using allele-specific mixture analysis.

    PubMed

    Liu, Cindy M; Driebe, Elizabeth M; Schupp, James; Kelley, Erin; Nguyen, Jack T; McSharry, James J; Weng, Qingmei; Engelthaler, David M; Keim, Paul S

    2010-01-01

    Monitoring antiviral resistance in influenza is critical to public health epidemiology and pandemic preparedness activities. Effective monitoring requires methods to detect low-level resistance and to monitor the change in resistance as a function of time and drug treatment. Resistance-conferring single-nucleotide mutations in influenza virus are ideal targets for such methods. In the present study, fives sets of paired TaqMan allele-specific PCR (ASPCR) assays were developed and validated for quantitative single-nucleotide polymorphism (SNP) analysis. This novel method using Delta Ct is termed allele-specific mixture analysis (ASMA) or FluASMA. The FluASMA assays target L26F, V27A, A30T, and S31N mutations in the A/Albany/1/98 (H3N2) M2 gene and H275Y mutation in the A/New Caledonia/20/99 (H1N1) NA gene and have a limit of quantification of 0.25-0.50% mutant. The error for % mutant estimation was less than 10% in all FluASMA assays, with intra-run Delta Ct coefficient of variance (CoV) at

  2. IDP-ASE: haplotyping and quantifying allele-specific expression at the gene and gene isoform level by hybrid sequencing.

    PubMed

    Deonovic, Benjamin; Wang, Yunhao; Weirather, Jason; Wang, Xiu-Jie; Au, Kin Fai

    2016-11-28

    Allele-specific expression (ASE) is a fundamental problem in studying gene regulation and diploid transcriptome profiles, with two key challenges: (i) haplotyping and (ii) estimation of ASE at the gene isoform level. Existing ASE analysis methods are limited by a dependence on haplotyping from laborious experiments or extra genome/family trio data. In addition, there is a lack of methods for gene isoform level ASE analysis. We developed a tool, IDP-ASE, for full ASE analysis. By innovative integration of Third Generation Sequencing (TGS) long reads with Second Generation Sequencing (SGS) short reads, the accuracy of haplotyping and ASE quantification at the gene and gene isoform level was greatly improved as demonstrated by the gold standard data GM12878 data and semi-simulation data. In addition to methodology development, applications of IDP-ASE to human embryonic stem cells and breast cancer cells indicate that the imbalance of ASE and non-uniformity of gene isoform ASE is widespread, including tumorigenesis relevant genes and pluripotency markers. These results show that gene isoform expression and allele-specific expression cooperate to provide high diversity and complexity of gene regulation and expression, highlighting the importance of studying ASE at the gene isoform level. Our study provides a robust bioinformatics solution to understand ASE using RNA sequencing data only.

  3. Genetic interaction mapping with microfluidic-based single cell sequencing

    PubMed Central

    Haliburton, John R.; Shao, Wenjun; Deutschbauer, Adam; Arkin, Adam; Abate, Adam R.

    2017-01-01

    Genetic interaction mapping is useful for understanding the molecular basis of cellular decision making, but elucidating interactions genome-wide is challenging due to the massive number of gene combinations that must be tested. Here, we demonstrate a simple approach to thoroughly map genetic interactions in bacteria using microfluidic-based single cell sequencing. Using single cell PCR in droplets, we link distinct genetic information into single DNA sequences that can be decoded by next generation sequencing. Our approach is scalable and theoretically enables the pooling of entire interaction libraries to interrogate multiple pairwise genetic interactions in a single culture. The speed, ease, and low-cost of our approach makes genetic interaction mapping viable for routine characterization, allowing the interaction network to be used as a universal read out for a variety of biology experiments, and for the elucidation of interaction networks in non-model organisms. PMID:28170417

  4. Genetic interaction mapping with microfluidic-based single cell sequencing.

    PubMed

    Haliburton, John R; Shao, Wenjun; Deutschbauer, Adam; Arkin, Adam; Abate, Adam R

    2017-01-01

    Genetic interaction mapping is useful for understanding the molecular basis of cellular decision making, but elucidating interactions genome-wide is challenging due to the massive number of gene combinations that must be tested. Here, we demonstrate a simple approach to thoroughly map genetic interactions in bacteria using microfluidic-based single cell sequencing. Using single cell PCR in droplets, we link distinct genetic information into single DNA sequences that can be decoded by next generation sequencing. Our approach is scalable and theoretically enables the pooling of entire interaction libraries to interrogate multiple pairwise genetic interactions in a single culture. The speed, ease, and low-cost of our approach makes genetic interaction mapping viable for routine characterization, allowing the interaction network to be used as a universal read out for a variety of biology experiments, and for the elucidation of interaction networks in non-model organisms.

  5. Quantitative Genetic Interaction Mapping Using the E-MAP Approach

    PubMed Central

    Collins, Sean R.; Roguev, Assen; Krogan, Nevan J.

    2010-01-01

    Genetic interactions represent the degree to which the presence of one mutation modulates the phenotype of a second mutation. In recent years, approaches for measuring genetic interactions systematically and quantitatively have proven to be effective tools for unbiased characterization of gene function and have provided valuable data for analyses of evolution. Here, we present protocols for systematic measurement of genetic interactions with respect to organismal growth rate for two yeast species. PMID:20946812

  6. Allele-specific suppression of a defective trans-Golgi network (TGN) localization signal in Kex2p identifies three genes involved in localization of TGN transmembrane proteins.

    PubMed Central

    Redding, K; Brickner, J H; Marschall, L G; Nichols, J W; Fuller, R S

    1996-01-01

    Kex2 protease (Kex2p) and Ste13 dipeptidyl aminopeptidase (Ste13p) are required in Saccharomyces cerevisiae for maturation of the alpha-mating factor in a late Golgi compartment, most likely the yeast trans-Golgi network (TGN). Previous studies identified a TGN localization signal (TLS) in the C-terminal cytosolic tail of Kex2p consisting of Tyr-713 and contextual sequences. Further analysis of the Kex2p TLS revealed similarity to the Ste13p TLS. Mutation of the Kex2p TLS results in transport of Kex2p to the vacuole by default. When expression of a GAL1 promoter-driven KEX2 gene is shut off in MAT(alpha) cells, the TGN becomes depleted of Kex2p, resulting in a gradual decline in mating competence which is greatly accelerated by TLS mutations. To identify the genes involved in localization of Kex2p, we isolated second-site suppressors of the rapid loss of mating competence observed upon shutting off expression of a TLS mutant form of Kex2p (Y713A). Seven of 58 suppressors were allele specific, suppressing point mutations at Tyr-713 but not deletions of the TLS or entire C-terminal cytosolic tail. By linkage analysis, the allele-specific suppressors defined three genetic loci, SOI1, S0I2, and S0I3. Pulse-chase analysis demonstrated that these suppressors increased net TGN retention of both Y713A Kex2p and a Ste13p-Pho8p fusion protein containing a point mutation in the Ste13p TLS. SOI1 suppressor alleles reduced the efficiency of localization of wild-type Kex2p to the TGN, implying an impaired ability to discriminate between the normal TLS and a mutant TLS. soi1 mutants also exhibited a recessive defect in vacuolar protein sorting. Suppressor alleles of S0I2 were dominant. These results suggest that the SOI1 and S0I2 genes encode regulators or components of the TLS recognition machinery. PMID:8887651

  7. Linkage: from particulate to interactive genetics.

    PubMed

    Falk, Raphael

    2003-01-01

    Genetics was established on a strict particulate conception of heredity. Genetic linkage, the deviation from independent segregation of Mendelian factors, was conceived as a function of the material allocation of the factors to the chromosomes, rather than to the multiple effects (pleiotropy) of discrete factors. Although linkage maps were abstractions they provided strong support for the chromosomal theory of inheritance. Direct Cytogenetic evidence was scarce until X-ray induced major chromosomal rearrangements allowed direct correlation of genetic and cytological rearrangements. Only with the discovery of the polytenic giant chromosomes in Drosophila larvae in the 1930s were the virtual maps backed up by physical maps of the genetic loci. Genetic linkage became a pivotal experimental tool for the examination of the integration of genetic functions in development and in evolution. Genetic mapping has remained a hallmark of genetic analysis. The location of genes in DNA is a modern extension of the notion of genetic linkage.

  8. Allele-specific impairment of GJB2 expression by GJB6 deletion del(GJB6-D13S1854).

    PubMed

    Rodriguez-Paris, Juan; Tamayo, Marta L; Gelvez, Nancy; Schrijver, Iris

    2011-01-01

    Mutations in the GJB2 gene, which encodes connexin 26, are a frequent cause of congenital non-syndromic sensorineural hearing loss. Two large deletions, del(GJB6-D13S1830) and del(GJB6-D13S1854), which truncate GJB6 (connexin 30), cause hearing loss in individuals homozygous, or compound heterozygous for these deletions or one such deletion and a mutation in GJB2. Recently, we have demonstrated that the del(GJB6-D13S1830) deletion contributes to hearing loss due to an allele-specific lack of GJB2 mRNA expression and not as a result of digenic inheritance, as was postulated earlier. In the current study we investigated the smaller del(GJB6-D13S1854) deletion, which disrupts the expression of GJB2 at the transcriptional level in a manner similar to the more common del(GJB6-D13S1830) deletion. Interestingly, in the presence of this deletion, GJB2 expression remains minimally but reproducibly present. The relative allele-specific expression of GJB2 was assessed by reverse-transcriptase PCR and restriction digestions in three probands who were compound heterozygous for a GJB2 mutation and del(GJB6-D13S1854). Each individual carried a different sequence variant in GJB2. All three individuals expressed the mutated GJB2 allele in trans with del(GJB6-D13S1854), but expression of the GJB2 allele in cis with the deletion was almost absent. Our study clearly corroborates the hypothesis that the del(GJB6-D13S1854), similar to the larger and more common del(GJB6-D13S1830), removes (a) putative cis-regulatory element(s) upstream of GJB6 and narrows down the region of location.

  9. Powerful Identification of Cis-regulatory SNPs in Human Primary Monocytes Using Allele-Specific Gene Expression

    PubMed Central

    Almlöf, Jonas Carlsson; Lundmark, Per; Lundmark, Anders; Ge, Bing; Maouche, Seraya; Göring, Harald H. H.; Liljedahl, Ulrika; Enström, Camilla; Brocheton, Jessy; Proust, Carole; Godefroy, Tiphaine; Sambrook, Jennifer G.; Jolley, Jennifer; Crisp-Hihn, Abigail; Foad, Nicola; Lloyd-Jones, Heather; Stephens, Jonathan; Gwilliam, Rhian; Rice, Catherine M.; Hengstenberg, Christian; Samani, Nilesh J.; Erdmann, Jeanette; Schunkert, Heribert; Pastinen, Tomi; Deloukas, Panos; Goodall, Alison H.; Ouwehand, Willem H.; Cambien, François; Syvänen, Ann-Christine

    2012-01-01

    A large number of genome-wide association studies have been performed during the past five years to identify associations between SNPs and human complex diseases and traits. The assignment of a functional role for the identified disease-associated SNP is not straight-forward. Genome-wide expression quantitative trait locus (eQTL) analysis is frequently used as the initial step to define a function while allele-specific gene expression (ASE) analysis has not yet gained a wide-spread use in disease mapping studies. We compared the power to identify cis-acting regulatory SNPs (cis-rSNPs) by genome-wide allele-specific gene expression (ASE) analysis with that of traditional expression quantitative trait locus (eQTL) mapping. Our study included 395 healthy blood donors for whom global gene expression profiles in circulating monocytes were determined by Illumina BeadArrays. ASE was assessed in a subset of these monocytes from 188 donors by quantitative genotyping of mRNA using a genome-wide panel of SNP markers. The performance of the two methods for detecting cis-rSNPs was evaluated by comparing associations between SNP genotypes and gene expression levels in sample sets of varying size. We found that up to 8-fold more samples are required for eQTL mapping to reach the same statistical power as that obtained by ASE analysis for the same rSNPs. The performance of ASE is insensitive to SNPs with low minor allele frequencies and detects a larger number of significantly associated rSNPs using the same sample size as eQTL mapping. An unequivocal conclusion from our comparison is that ASE analysis is more sensitive for detecting cis-rSNPs than standard eQTL mapping. Our study shows the potential of ASE mapping in tissue samples and primary cells which are difficult to obtain in large numbers. PMID:23300628

  10. The allele-specific probe and primer amplification assay, a new real-time PCR method for fine quantification of single-nucleotide polymorphisms in pooled DNA.

    PubMed

    Billard, A; Laval, V; Fillinger, S; Leroux, P; Lachaise, H; Beffa, R; Debieu, D

    2012-02-01

    The evolution of fungicide resistance within populations of plant pathogens must be monitored to develop management strategies. Such monitoring often is based on microbiological tests, such as microtiter plate assays. Molecular monitoring methods can be considered if the mutations responsible for resistance have been identified. Allele-specific real-time PCR approaches, such as amplification refractory mutation system (ARMS) PCR and mismatch amplification mutation assay (MAMA) PCR, are, despite their moderate efficacy, among the most precise methods for refining SNP quantification. We describe here a new real-time PCR method, the allele-specific probe and primer amplification assay (ASPPAA PCR). This method makes use of mixtures of allele-specific minor groove binder (MGB) TaqMan probes and allele-specific primers for the fine quantification of SNPs from a pool of DNA extracted from a mixture of conidia. It was developed for a single-nucleotide polymorphism (SNP) that is responsible for resistance to the sterol biosynthesis inhibitor fungicide fenhexamid, resulting in the replacement of the phenylalanine residue (encoded by the TTC codon) in position 412 of the enzymatic target (3-ketoreductase) by a serine (TCC), valine (GTC), or isoleucine (ATC) residue. The levels of nonspecific amplification with the ASPPAA PCR were reduced at least four times below the level of currently available allele-specific real-time PCR approaches due to strong allele specificity in amplification cycles, including two allele selectors. This new method can be used to quantify a complex quadriallelic SNP in a DNA pool with a false discovery rate of less than 1%.

  11. Robust and accurate single nucleotide polymorphism genotyping by dynamic allele-specific hybridization (DASH): design criteria and assay validation.

    PubMed

    Prince, J A; Feuk, L; Howell, W M; Jobs, M; Emahazion, T; Blennow, K; Brookes, A J

    2001-01-01

    We recently introduced a generic single nucleotide polymorphism (SNP) genotyping method, termed DASH (dynamic allele-specific hybridization), which entails dynamic tracking of probe (oligonucleotide) to target (PCR product) hybridization as reaction temperature is steadily increased. The reliability of DASH and optimal design rules have not been previously reported. We have now evaluated crudely designed DASH assays (sequences unmodified from genomic DNA) for 89 randomly selected and confirmed SNPs. Accurate genotype assignment was achieved for 89% of these worst-case-scenario assays. Failures were determined to be caused by secondary structures in the target molecule, which could be reliably predicted from thermodynamic theory. Improved design rules were thereby established, and these were tested by redesigning six of the failed DASH assays. This involved reengineering PCR primers to eliminate amplified target sequence secondary structures. This sophisticated design strategy led to complete functional recovery of all six assays, implying that SNPs in most if not all sequence contexts can be effectively scored by DASH. Subsequent empirical support for this inference has been evidenced by approximately 30 failure-free DASH assay designs implemented across a range of ongoing genotyping programs. Structured follow-on studies employed standardized assay conditions, and revealed that assay reproducibility (733 duplicated genotypes, six different assays) was as high as 100%, with an assay accuracy (1200 genotypes, three different assays) that exceeded 99.9%. No post-PCR assay failures were encountered. These findings, along with intrinsic low cost and high flexibility, validate DASH as an effective procedure for SNP genotyping.

  12. Bivariate segmentation of SNP-array data for allele-specific copy number analysis in tumour samples

    PubMed Central

    2013-01-01

    Background SNP arrays output two signals that reflect the total genomic copy number (LRR) and the allelic ratio (BAF), which in combination allow the characterisation of allele-specific copy numbers (ASCNs). While methods based on hidden Markov models (HMMs) have been extended from array comparative genomic hybridisation (aCGH) to jointly handle the two signals, only one method based on change-point detection, ASCAT, performs bivariate segmentation. Results In the present work, we introduce a generic framework for bivariate segmentation of SNP array data for ASCN analysis. For the matter, we discuss the characteristics of the typically applied BAF transformation and how they affect segmentation, introduce concepts of multivariate time series analysis that are of concern in this field and discuss the appropriate formulation of the problem. The framework is implemented in a method named CnaStruct, the bivariate form of the structural change model (SCM), which has been successfully applied to transcriptome mapping and aCGH. Conclusions On a comprehensive synthetic dataset, we show that CnaStruct outperforms the segmentation of existing ASCN analysis methods. Furthermore, CnaStruct can be integrated into the workflows of several ASCN analysis tools in order to improve their performance, specially on tumour samples highly contaminated by normal cells. PMID:23497144

  13. Authentication of official Da-huang by sequencing and multiplex allele-specific PCR of a short maturase K gene.

    PubMed

    Xu, Guojie; Wang, Xueyong; Liu, Chunsheng; Li, Weidong; Wei, Shengli; Liu, Ying; Cheng, Xiaoli; Liu, Juan

    2013-02-01

    Rhubarb (official Da-huang) is an important medicinal herb in Asia. Many adulterants of official Da-huang have been discovered in Chinese markets in recent years, which has resulted in adverse effects in medicinal treatment. Here, novel molecular markers based on a short maturase K (matK) gene were developed for authenticating official Da-huang. This study showed that all the species from official Da-huang were clustered together in one clade in the polygenetic trees based on short matK. Two highly conserved single nucleotide polymorphisms of short matK were mined in the species from official Da-huang. Based on these polymophisms, four improved specific primers of official Da-huang were successfully developed that generated reproducible specific bands. These results suggest that the short matK sequence can be considered as a favorable candidate for distinguishing official Da-huang from its adulterants. The established multiplex allele-specific PCR was determined to be simple and accurate and may serve as a preferable tool for authentication of official Da-huang. In addition, we suggest that short-sized specific bands be developed to authenticate materials used in traditional Chinese medicine.

  14. Analysis of LMNB1 Duplications in Autosomal Dominant Leukodystrophy Provides Insights into Duplication Mechanisms and Allele-Specific Expression

    PubMed Central

    Giorgio, Elisa; Rolyan, Harshvardhan; Kropp, Laura; Chakka, Anish Baswanth; Yatsenko, Svetlana; Gregorio, Eleonora Di; Lacerenza, Daniela; Vaula, Giovanna; Talarico, Flavia; Mandich, Paola; Toro, Camilo; Pierre, Eleonore Eymard; Labauge, Pierre; Capellari, Sabina; Cortelli, Pietro; Vairo, Filippo Pinto; Miguel, Diego; Stubbolo, Danielle; Marques, Lourenco Charles; Gahl, William; Boespflug-Tanguy, Odile; Melberg, Atle; Hassin-Baer, Sharon; Cohen, Oren S; Pjontek, Rastislav; Grau, Armin; Klopstock, Thomas; Fogel, Brent; Meijer, Inge; Rouleau, Guy; Bouchard, Jean-Pierre L; Ganapathiraju, Madhavi; Vanderver, Adeline; Dahl, Niklas; Hobson, Grace; Brusco, Alfredo; Brussino, Alessandro; Padiath, Quasar Saleem

    2013-01-01

    ABSTRACT Autosomal dominant leukodystrophy (ADLD) is an adult onset demyelinating disorder that is caused by duplications of the lamin B1 (LMNB1) gene. However, as only a few cases have been analyzed in detail, the mechanisms underlying LMNB1 duplications are unclear. We report the detailed molecular analysis of the largest collection of ADLD families studied, to date. We have identified the minimal duplicated region necessary for the disease, defined all the duplication junctions at the nucleotide level and identified the first inverted LMNB1 duplication. We have demonstrated that the duplications are not recurrent; patients with identical duplications share the same haplotype, likely inherited from a common founder and that the duplications originated from intrachromosomal events. The duplication junction sequences indicated that nonhomologous end joining or replication-based mechanisms such fork stalling and template switching or microhomology-mediated break induced repair are likely to be involved. LMNB1 expression was increased in patients’ fibroblasts both at mRNA and protein levels and the three LMNB1 alleles in ADLD patients show equal expression, suggesting that regulatory regions are maintained within the rearranged segment. These results have allowed us to elucidate duplication mechanisms and provide insights into allele-specific LMNB1 expression levels. PMID:23649844

  15. EGFR mutant allelic-specific imbalance assessment in routine samples of non-small cell lung cancer.

    PubMed

    Malapelle, Umberto; Vatrano, Simona; Russo, Stefania; Bellevicine, Claudio; de Luca, Caterina; Sgariglia, Roberta; Rocco, Danilo; de Pietro, Livia; Riccardi, Fernando; Gobbini, Elisa; Righi, Luisella; Troncone, Giancarlo

    2015-09-01

    In non-small cell lung cancer (NSCLC), the epidermal growth factor receptor (EGFR) gene may undergo both mutations and copy number gains. EGFR mutant allele-specific imbalance (MASI) occurs when the ratio of mutant-to-wild-type alleles increases significantly. In this study, by using a previously validated microfluidic-chip-based technology, EGFR-MASI occurred in 25/67 mutant cases (37%), being more frequently associated with EGFR exon 19 deletions (p=0.033). In a subset of 49 treated patients, we assessed whether MASI is a modifier of anti-EGFR treatment benefit. The difference in progression-free survival and overall survival between EGFR-MASI-positive and EGFR-MASI-negative groups of patients did not show a statistical significance. In conclusion, EGFR-MASI is a significant event in NSCLC, specifically associated with EGFR exon 19 deletions. However, EGFR-MASI does not seem to play a role in predicting the response to first-generation EGFR small molecules inhibitors.

  16. Allele-specific PCR typing and sequencing of the mitochondrial D-loop region in four layer breeds.

    PubMed

    Harumi, Takashi; Sano, Akiko; Minematsu, Takeo; Naito, Mitsuru

    2011-04-01

    This study aimed to investigate the ability of single nucleotide polymorphism (SNP) haplotypes in chicken mtDNA for presumption of the origins of chicken meat. We typed five SNPs of the D-loop region in mtDNA by allele-specific PCR (AS-PCR) in 556 hens, that is 233 White Leghorn (WL), 50 Dekalb-TX35 (D-TX), 140 Barred Plymouth Rock (BPR) and 133 Rhode Island Red (RIR) kept in the National Institute of Livestock and Grassland Science (NILGS, Tsukuba, Japan). Five haplotypes were observed among those chickens by AS-PCR. WL, D-TX, BPR and RIR displayed three, two, one and four SNP haplotypes, respectively. By a combination of the haplotypes by AS-PCR and the breeds, these chickens were classified into 10 groups. After the D-loop was sequenced in two chickens from every group (20 individuals), 15 SNP sites (including one insertion) and eight sequence haplotypes were observed. In conclusion, haplotype variation was observed in and among the layer breeds of the NILGS. This study demonstrates that SNP haplotypes in mtDNA should be appropriate for the presumption of the origins of chicken meat.

  17. Allele-specific polymerase chain reaction typing and sequencing of mitochondrial D-loop region in broiler chickens in Japan.

    PubMed

    Harumi, Takashi; Kobayashi, Eiji; Naito, Mitsuru

    2015-09-01

    This study aimed to comprehend a feature of single nucleotide polymorphism (SNP) in mitochondrial DNA (mtDNA) mainly of general broiler chickens in Japan. We typed two SNP sites (199C/T and 792A/G) of the D-loop region in mtDNA by allele-specific PCR (AS-PCR) in 359 broiler (182 chunky and 177 cobb) and 506 layer (233 White Leghorn, 140 Barred Plymouth Rock and 133 Rhode Island Red) chickens. The SNP of 199C or 792A by AS-PCR was observed in the chunky and cobb chickens, and not in the layers. The haplotype 199T/792G was observed in a part of cobb and all layers. By the result of AS-PCR haplotyping and the broiler brands, the D-loop region was sequenced in 44 broiler chickens (20 chunky and 24 cobb) and compared with the layers' sequence data. Among the broiler and layer chickens, 21 SNP sites (including one insertion) and 11 sequence haplotypes were observed. Haplotype variation or correspondence was observed in and between the broiler brands. This study provides important information to establish a chicken meat traceability system by SNP haplotyping of mtDNA in Japan.

  18. Simple and sensitive method for identification of human DNA by allele-specific polymerase chain reaction of FOXP2.

    PubMed

    Hiroshige, Kenichi; Soejima, Mikiko; Nishioka, Tomoki; Kamimura, Shigeo; Koda, Yoshiro

    2009-07-01

    The forkhead box P2 (FOXP2) gene is specifically involved in speech and language development in humans. The sequence is well conserved among many vertebrate species but has accumulated amino acid changes in the human lineage. The aim of this study was to develop a simple method to discriminate between human and nonhuman vertebrate DNA in forensic specimens by amplification of a human-specific genomic region. In the present study, we designed an allele-specific polymerase chain reaction (PCR) using primers to amplify smaller than 70-bp regions of FOXP2 to identify DNA as being of human or nonhuman, including ape, origin. PCR amplification was also successfully performed using fluorescence-labeled primers, and this method allows a single PCR reaction with a genomic DNA sample as small as 0.01 ng. This system also identified the presence of human DNA in two blood stains stored for 20 and 38 years. The results suggested the potential usefulness of FOXP2 as an identifier of human DNA in forensic samples.

  19. Ribosomal protein genes are highly enriched among genes with allele-specific expression in the interspecific F1 hybrid catfish.

    PubMed

    Chen, Ailu; Wang, Ruijia; Liu, Shikai; Peatman, Eric; Sun, Luyang; Bao, Lisui; Jiang, Chen; Li, Chao; Li, Yun; Zeng, Qifan; Liu, Zhanjiang

    2016-06-01

    Interspecific hybrids provide a rich source for the analysis of allele-specific expression (ASE). In this work, we analyzed ASE in F1 hybrid catfish using RNA-Seq datasets. While the vast majority of genes were expressed with both alleles, 7-8 % SNPs exhibited significant differences in allele ratios of expression. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5420 (8.2 %) and 13,390 (7.5 %) SNPs were identified as significant ASE-SNPs, respectively. With these SNPs, a total of 1519 and 3075 ASE-genes were identified. Gene Ontology analysis revealed that genes encoding cytoplasmic ribosomal proteins (RP) were highly enriched among ASE genes. Parent-of-origin was determined for 27 and 30 ASE RP genes in the liver and gill, respectively. The results indicated that genes from both channel catfish and blue catfish were involved in ASE. However, each RP gene appeared to be almost exclusively expressed from only one parent, indicating that ribosomes in the hybrid catfish were in the "hybrid" form. Overall representation of RP transcripts among the transcriptome appeared lower in the F1 hybrid catfish than in channel catfish or blue catfish, suggesting that the "hybrid" ribosomes may work more efficiently for translation in the F1 hybrid catfish.

  20. Differential genetic interactions of yeast stress response MAPK pathways.

    PubMed

    Martin, Humberto; Shales, Michael; Fernandez-Piñar, Pablo; Wei, Ping; Molina, Maria; Fiedler, Dorothea; Shokat, Kevan M; Beltrao, Pedro; Lim, Wendell; Krogan, Nevan J

    2015-04-17

    Genetic interaction screens have been applied with great success in several organisms to study gene function and the genetic architecture of the cell. However, most studies have been performed under optimal growth conditions even though many functional interactions are known to occur under specific cellular conditions. In this study, we have performed a large-scale genetic interaction analysis in Saccharomyces cerevisiae involving approximately 49 × 1,200 double mutants in the presence of five different stress conditions, including osmotic, oxidative and cell wall-altering stresses. This resulted in the generation of a differential E-MAP (or dE-MAP) comprising over 250,000 measurements of conditional interactions. We found an extensive number of conditional genetic interactions that recapitulate known stress-specific functional associations. Furthermore, we have also uncovered previously unrecognized roles involving the phosphatase regulator Bud14, the histone methylation complex COMPASS and membrane trafficking complexes in modulating the cell wall integrity pathway. Finally, the osmotic stress differential genetic interactions showed enrichment for genes coding for proteins with conditional changes in phosphorylation but not for genes with conditional changes in gene expression. This suggests that conditional genetic interactions are a powerful tool to dissect the functional importance of the different response mechanisms of the cell.

  1. Protein interactions in human genetic diseases

    PubMed Central

    Schuster-Böckler, Benjamin; Bateman, Alex

    2008-01-01

    We present a novel method that combines protein structure information with protein interaction data to identify residues that form part of an interaction interface. Our prediction method can retrieve interaction hotspots with an accuracy of 60% (at a 20% false positive rate). The method was applied to all mutations in the Online Mendelian Inheritance in Man (OMIM) database, predicting 1,428 mutations to be related to an interaction defect. Combining predicted and hand-curated sets, we discuss how mutations affect protein interactions in general. PMID:18199329

  2. Genetics and gene-environment interactions on longevity and lifespan

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Longevity is a complex trait and highly associated with healthspan – lifespan without major diseases. In human populations there is a large amount of variation in longevity, which can be attributed to genetics, environment, and interactions between them. The genetic contribution to longevity is abou...

  3. Genetic interactions underlying tree branch orientation

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Expanding our understanding of the molecular and genetic mechanisms behind branch orientation in trees both addresses a fundamental developmental phenomenon and can lead to significant impacts on tree crop agriculture and forestry. Using the p-nome (pooled genome) sequencing-based mapping approac...

  4. RNA-Seq Analysis of Allele-Specific Expression, Hybrid Effects, and Regulatory Divergence in Hybrids Compared with Their Parents from Natural Populations

    PubMed Central

    Bell, Graeme D.M.; Kane, Nolan C.; Rieseberg, Loren H.; Adams, Keith L.

    2013-01-01

    Hybridization is a prominent process among natural plant populations that can result in phenotypic novelty, heterosis, and changes in gene expression. The effects of intraspecific hybridization on F1 hybrid gene expression were investigated using parents from divergent, natural populations of Cirsium arvense, an invasive Compositae weed. Using an RNA-seq approach, the expression of 68,746 unigenes was quantified in parents and hybrids. The expression levels of 51% of transcripts differed between parents, a majority of which had less than 1.25× fold-changes. More unigenes had higher expression in the invasive parent (P1) than the noninvasive parent (P2). Of those that were divergently expressed between parents, 10% showed additive and 81% showed nonadditive (transgressive or dominant) modes of gene action in the hybrids. A majority of the dominant cases had P2-like expression patterns in the hybrids. Comparisons of allele-specific expression also enabled a survey of cis- and trans-regulatory effects. Cis- and trans-regulatory divergence was found at 70% and 68% of 62,281 informative single-nucleotide polymorphism sites, respectively. Of the 17% of sites exhibiting both cis- and trans-effects, a majority (70%) had antagonistic regulatory interactions (cis x trans); trans-divergence tended to drive higher expression of the P1 allele, whereas cis-divergence tended to increase P2 transcript abundance. Trans-effects correlated more highly than cis with parental expression divergence and accounted for a greater proportion of the regulatory divergence at sites with additive compared with nonadditive inheritance patterns. This study explores the nature of, and types of mechanisms underlying, expression changes that occur in upon intraspecific hybridization in natural populations. PMID:23677938

  5. A High-Throughput Strategy for Dissecting Mammalian Genetic Interactions

    PubMed Central

    Stockman, Victoria B.; Ghamsari, Lila; Lasso, Gorka; Honig, Barry

    2016-01-01

    Comprehensive delineation of complex cellular networks requires high-throughput interrogation of genetic interactions. To address this challenge, we describe the development of a multiplex combinatorial strategy to assess pairwise genetic interactions using CRISPR-Cas9 genome editing and next-generation sequencing. We characterize the performance of combinatorial genome editing and analysis using different promoter and gRNA designs and identified regions of the chimeric RNA that are compatible with next-generation sequencing preparation and quantification. This approach is an important step towards elucidating genetic networks relevant to human diseases and the development of more efficient Cas9-based therapeutics. PMID:27936040

  6. Imprinted chromosomal domains revealed by allele-specific replication timing of the GABRB3 and GABRA5 genes

    SciTech Connect

    LaSalle, J.; Flint, A.; Lalande, M.

    1994-09-01

    The GABRB3 and GABRA5 genes are organized as a cluster in chromosome 15q11-q13. The genes are separated by around 100 kb and arranged in opposite transcriptional orientations. The GABA{sub A} receptor cluster lies near the Angelman and Prader-Willi loci and displays asynchronous DNA replication, suggesting that this region is subject to parental imprinting. In order to further study the association between DNA replication and imprinting, allele-specific replication was assayed by fluorescence in situ hybridization with {lambda}-phage probes from the GABRB3/A5 region and a D15Z1 satellite probe to identify the parental origin of each chromosome. The replication kinetics of each allele was determined by using a flow sorter to fractionate mitogen-stimulated lymphocytes on the basis of cell cycle progression prior to FISH analysis. These kinetic studies reveal a 50-150 kb chromosomal domain extending from the middle of the GABRB3/A5 intergenic region into the GABRA5 5{prime}-UTR which displays maternal replication in early S with paternal replication delayed until the end of S. In contrast, genomic regions on either side of this maternal early replication domain exhibit the opposite pattern with paternal before maternal replication and both alleles replicating in the latter half of S. These results indicate that the GABRB3/A5 region is divided into domains in which replication timing is determined by parental origin. In addition to a loss of asynchronous replication, organization into replication timing domains is also lost in lymphocytes from maternal and paternal uniparental disomy 15 patients suggesting that a chromosome contribution from both parents is required for the establishment of the imprinted replication domains.

  7. Genome-wide and parental allele-specific analysis of CTCF and cohesin DNA binding in mouse brain reveals a tissue-specific binding pattern and an association with imprinted differentially methylated regions.

    PubMed

    Prickett, Adam R; Barkas, Nikolaos; McCole, Ruth B; Hughes, Siobhan; Amante, Samuele M; Schulz, Reiner; Oakey, Rebecca J

    2013-10-01

    DNA binding factors are essential for regulating gene expression. CTCF and cohesin are DNA binding factors with central roles in chromatin organization and gene expression. We determined the sites of CTCF and cohesin binding to DNA in mouse brain, genome wide and in an allele-specific manner with high read-depth ChIP-seq. By comparing our results with existing data for mouse liver and embryonic stem (ES) cells, we investigated the tissue specificity of CTCF binding sites. ES cells have fewer unique CTCF binding sites occupied than liver and brain, consistent with a ground-state pattern of CTCF binding that is elaborated during differentiation. CTCF binding sites without the canonical consensus motif were highly tissue specific. In brain, a third of CTCF and cohesin binding sites coincide, consistent with the potential for many interactions between cohesin and CTCF but also many instances of independent action. In the context of genomic imprinting, CTCF and/or cohesin bind to a majority but not all differentially methylated regions, with preferential binding to the unmethylated parental allele. Whether the parental allele-specific methylation was established in the parental germlines or post-fertilization in the embryo is not a determinant in CTCF or cohesin binding. These findings link CTCF and cohesin with the control regions of a subset of imprinted genes, supporting the notion that imprinting control is mechanistically diverse.

  8. Detection of Fusarium oxysporum f. sp. vasinfectum race 3 by single-base extension method and allele-specific polymerase chain reaction

    Technology Transfer Automated Retrieval System (TEKTRAN)

    We developed allele specific (AS) SNP primers for rapid detection of Fusarium oxysporum f.sp vasinfectum (FOV) race 3. FOV_BT_SNP_R3 and FOV_BT_AS_R3 primers were designed based on single nucleotide polymorphisms of partial sequence alignment of the ß-tubulin (BT) gene from several FOV races. These ...

  9. A genetic ensemble approach for gene-gene interaction identification

    PubMed Central

    2010-01-01

    Background It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases. Though a considerable effort has been put into developing statistical models and algorithmic strategies for identifying such interactions, the accurate identification of those genetic interactions has been proven to be very challenging. Methods In this paper, we propose a new approach for identifying such gene-gene and gene-environment interactions underlying complex diseases. This is a hybrid algorithm and it combines genetic algorithm (GA) and an ensemble of classifiers (called genetic ensemble). Using this approach, the original problem of SNP interaction identification is converted into a data mining problem of combinatorial feature selection. By collecting various single nucleotide polymorphisms (SNP) subsets as well as environmental factors generated in multiple GA runs, patterns of gene-gene and gene-environment interactions can be extracted using a simple combinatorial ranking method. Also considered in this study is the idea of combining identification results obtained from multiple algorithms. A novel formula based on pairwise double fault is designed to quantify the degree of complementarity. Conclusions Our simulation study demonstrates that the proposed genetic ensemble algorithm has comparable identification power to Multifactor Dimensionality Reduction (MDR) and is slightly better than Polymorphism Interaction Analysis (PIA), which are the two most popular methods for gene-gene interaction identification. More importantly, the identification results generated by using our genetic ensemble algorithm are highly complementary to those obtained by PIA and MDR. Experimental results from our simulation studies and real world data application also confirm the effectiveness of the proposed genetic ensemble algorithm, as well as the potential benefits of combining identification

  10. QTL x Genetic Background Interaction: Application to Predicting Progeny Value

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Failures of the additive infinitesimal model continue to provide incentive to study other modes of gene action, in particular, epistasis. Epistasis can be modeled as a QTL by genetic background interaction. Association mapping models lend themselves to fitting such an interaction because they often ...

  11. The mystery of missing heritability: Genetic interactions create phantom heritability.

    PubMed

    Zuk, Or; Hechter, Eliana; Sunyaev, Shamil R; Lander, Eric S

    2012-01-24

    Human genetics has been haunted by the mystery of "missing heritability" of common traits. Although studies have discovered >1,200 variants associated with common diseases and traits, these variants typically appear to explain only a minority of the heritability. The proportion of heritability explained by a set of variants is the ratio of (i) the heritability due to these variants (numerator), estimated directly from their observed effects, to (ii) the total heritability (denominator), inferred indirectly from population data. The prevailing view has been that the explanation for missing heritability lies in the numerator--that is, in as-yet undiscovered variants. While many variants surely remain to be found, we show here that a substantial portion of missing heritability could arise from overestimation of the denominator, creating "phantom heritability." Specifically, (i) estimates of total heritability implicitly assume the trait involves no genetic interactions (epistasis) among loci; (ii) this assumption is not justified, because models with interactions are also consistent with observable data; and (iii) under such models, the total heritability may be much smaller and thus the proportion of heritability explained much larger. For example, 80% of the currently missing heritability for Crohn's disease could be due to genetic interactions, if the disease involves interaction among three pathways. In short, missing heritability need not directly correspond to missing variants, because current estimates of total heritability may be significantly inflated by genetic interactions. Finally, we describe a method for estimating heritability from isolated populations that is not inflated by genetic interactions.

  12. Genetic Allee effects and their interaction with ecological Allee effects.

    PubMed

    Wittmann, Meike J; Stuis, Hanna; Metzler, Dirk

    2016-10-12

    It is now widely accepted that genetic processes such as inbreeding depression and loss of genetic variation can increase the extinction risk of small populations. However, it is generally unclear whether extinction risk from genetic causes gradually increases with decreasing population size or whether there is a sharp transition around a specific threshold population size. In the ecological literature, such threshold phenomena are called 'strong Allee effects' and they can arise for example from mate limitation in small populations. In this study, we aim to (i) develop a meaningful notion of a 'strong genetic Allee effect', (ii) explore whether and under what conditions such an effect can arise from inbreeding depression due to recessive deleterious mutations, and (iii) quantify the interaction of potential genetic Allee effects with the well-known mate-finding Allee effect. We define a strong genetic Allee effect as a genetic process that causes a population's survival probability to be a sigmoid function of its initial size. The inflection point of this function defines the critical population size. To characterize survival-probability curves, we develop and analyse simple stochastic models for the ecology and genetics of small populations. Our results indicate that inbreeding depression can indeed cause a strong genetic Allee effect, but only if individuals carry sufficiently many deleterious mutations (lethal equivalents). Populations suffering from a genetic Allee effect often first grow, then decline as inbreeding depression sets in and then potentially recover as deleterious mutations are purged. Critical population sizes of ecological and genetic Allee effects appear to be often additive, but even superadditive interactions are possible. Many published estimates for the number of lethal equivalents in birds and mammals fall in the parameter range where strong genetic Allee effects are expected. Unfortunately, extinction risk due to genetic Allee effects

  13. Allele-Specific Phenotype Suggests a Possible Stimulatory Activity of RCAN-1 on Calcineurin in Caenorhabditis elegans

    PubMed Central

    Li, Weixun; Choi, Tae-Woo; Ahnn, Joohong; Lee, Sun-Kyung

    2016-01-01

    Regulator of calcineurin 1 (RCAN1) binds to calcineurin through the PxIxIT motif, which is evolutionarily conserved. SP repeat phosphorylation in RCAN1 is required for its complete function. The specific interaction between RCAN1 and calcineurin is critical for calcium/calmodulin-dependent regulation of calcineurin serine/threonine phosphatase activity. In this study, we investigated two available deletion rcan-1 mutants in Caenorhabditis elegans, which proceed differently for transcription and translation. We found that rcan-1 may be required for calcineurin activity and possess calcineurin-independent function in body growth and egg-laying behavior. In the genetic background of enhanced calcineurin activity, the rcan-1 mutant expressing a truncated RCAN-1 which retains the calcineurin-binding PxIxIT motif but misses SP repeats stimulated growth, while rcan-1 lack mutant resulted in hyperactive egg-laying suppression. These data suggest rcan-1 has unknown functions independent of calcineurin, and may be a stimulatory calcineurin regulator under certain circumstances. PMID:27871170

  14. Allele-specific PCR for detecting the deafness-associated mitochondrial 12S rRNA mutations.

    PubMed

    Ding, Yu; Xia, Bo-Hou; Liu, Qi; Li, Mei-Ya; Huang, Shui-Xian; Zhuo, Guang-Chao

    2016-10-10

    Mutations in mitochondrial 12S rRNA (MT-RNR1) are the important causes of sensorineural hearing loss. Of these mutations, the homoplasmic m.1555A>G or m.1494C>T mutation in the highly conserved A-site of MT-RNR1 gene has been found to be associated with both aminoglycoside-induced and non-syndromic hearing loss in many families worldwide. Since the m.1555A>G and m.1494C>T mutations are sensitive to ototoxic drugs, therefore, screening for the presence of these mutations is important for early diagnosis and prevention of deafness. For this purpose, we recently developed a novel allele-specific PCR (AS-PCR) which is able to simultaneously detect these mutations. To assess its accuracy, in this study, we employed this method to screen the frequency of m.1555A>G and m.1494C>T mutations in 200 deafness patients and 120 healthy subjects. Consequently, four m.1555A>G and four m.1494C>T mutations were identified; among these, only one patient with the m.1494C>T mutation had an obvious family history of hearing loss. Strikingly, clinical evaluation showed that this family exhibited a high penetrance of hearing loss. In particular, the penetrances of hearing loss were 80% with the aminoglycoside included and 20% when excluded. PCR-Sanger sequencing of the mitochondrial genomes confirmed the presence of the m.1494C>T mutation and identified a set of polymorphisms belonging to mitochondrial haplogroup A. However, the lack of functional variants in mitochondrial and nuclear modified genes (GJB2 and TRMU) in this family indicated that mitochondrial haplogroup and nuclear genes may not play important roles in the phenotypic expression of the m.1494C>T mutation. Thus, other modification factors, such as environmental factor, aminoglycosides or epigenetic modification may have contributed to the high penetrance of hearing loss in this family. Taken together, our data showed that this assay is an effective approach that could be used for detection the deafness-associated MT-RNR1

  15. Genetic Interactions at the Fla10 Locus: Suppressors and Synthetic Phenotypes That Affect the Cell Cycle and Flagellar Function in Chlamydomonas Reinhardtii

    PubMed Central

    Lux-III, F. G.; Dutcher, S. K.

    1991-01-01

    Through the isolation of suppressors of temperature-sensitive flagellar assembly mutations at the FLA10 locus of Chlamydomonas reinhardtii, we have identified six other genes involved in flagellar assembly. Mutations at these suppressor loci, termed SUF1-SUF6, display allele specificity with respect to which fla10(-) mutant alleles they suppress. An additional mutation, apm1-122, which confers resistance to the plant herbicides amiprophos-methyl and oryzalin, was also found to interact with mutations at the FLA10 locus. The apm1-122 mutation in combination with three fla10(-) mutant alleles results in synthetic cold-sensitive cell division defects, and in combination with an additional pseudo-wild-type fla10(-) allele yields a synthetic temperature-sensitive flagellar motility phenotype. Based upon the genetic interactions of these loci, we propose that the FLA10 gene product interacts with multiple components of the flagellar apparatus and plays a role both in flagellar assembly and in the cell cycle. PMID:1874415

  16. Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions

    PubMed Central

    Qi, Yan; Suhail, Yasir; Lin, Yu-yi; Boeke, Jef D.; Bader, Joel S.

    2008-01-01

    The yeast synthetic lethal genetic interaction network contains rich information about underlying pathways and protein complexes as well as new genetic interactions yet to be discovered. We have developed a graph diffusion kernel as a unified framework for inferring complex/pathway membership analogous to “friends” and genetic interactions analogous to “enemies” from the genetic interaction network. When applied to the Saccharomyces cerevisiae synthetic lethal genetic interaction network, we can achieve a precision around 50% with 20% to 50% recall in the genome-wide prediction of new genetic interactions, supported by experimental validation. The kernels show significant improvement over previous best methods for predicting genetic interactions and protein co-complex membership from genetic interaction data. PMID:18832443

  17. Predicting genetic interactions from Boolean models of biological networks.

    PubMed

    Calzone, Laurence; Barillot, Emmanuel; Zinovyev, Andrei

    2015-08-01

    Genetic interaction can be defined as a deviation of the phenotypic quantitative effect of a double gene mutation from the effect predicted from single mutations using a simple (e.g., multiplicative or linear additive) statistical model. Experimentally characterized genetic interaction networks in model organisms provide important insights into relationships between different biological functions. We describe a computational methodology allowing us to systematically and quantitatively characterize a Boolean mathematical model of a biological network in terms of genetic interactions between all loss of function and gain of function mutations with respect to all model phenotypes or outputs. We use the probabilistic framework defined in MaBoSS software, based on continuous time Markov chains and stochastic simulations. In addition, we suggest several computational tools for studying the distribution of double mutants in the space of model phenotype probabilities. We demonstrate this methodology on three published models for each of which we derive the genetic interaction networks and analyze their properties. We classify the obtained interactions according to their class of epistasis, dependence on the chosen initial conditions and the phenotype. The use of this methodology for validating mathematical models from experimental data and designing new experiments is discussed.

  18. Requisite analytic and diagnostic performance characteristics for the clinical detection of BRAF V600E in hairy cell leukemia: a comparison of 2 allele-specific PCR assays.

    PubMed

    Brown, Noah A; Weigelin, Helmut C; Bailey, Nathanael; Laliberte, Julie; Elenitoba-Johnson, Kojo S J; Lim, Megan S; Betz, Bryan L

    2015-09-01

    Detection of high-frequency BRAF V600E mutations in hairy cell leukemia (HCL) has important diagnostic utility. However, the requisite analytic performance for a clinical assay to routinely detect BRAF V600E mutations in HCL has not been clearly defined. In this study, we sought to determine the level of analytic sensitivity needed for formalin-fixed, paraffin-embedded (FFPE) and frozen samples and to compare the performance of 2 allele-specific polymerase chain reaction (PCR) assays. Twenty-nine cases of classic HCL, including 22 FFPE bone marrow aspirates and 7 frozen specimens from blood or bone marrow were evaluated using a laboratory-developed allele-specific PCR assay and a commercially available allele-specific quantitative PCR assay-myT BRAF Ultra. Also included were 6 HCL variant and 40 non-HCL B-cell lymphomas. Two cases of classic HCL, 1 showing CD5 expression, were truly BRAF V600E-negative based on negative results by PCR and sequencing despite high-level leukemic involvement. Among the remaining 27 specimens, V600E mutations were detected in 88.9% (17/20 FFPE; 7/7 frozen) and 81.5% (15/20 FFPE; 7/7 frozen), for the laboratory-developed and commercial assays, respectively. No mutations were detected among the 46 non-HCL lymphomas. Both assays showed an analytic sensitivity of 0.3% involvement in frozen specimens and 5% in FFPE tissue. On the basis of these results, an assay with high analytic sensitivity is required for the clinical detection of V600E mutations in HCL specimens. Two allele-specific PCR assays performed well in both frozen and FFPE bone marrow aspirates, although detection in FFPE tissue required 5% or more involvement.

  19. Capillary and microchip gel electrophoresis for simultaneous detection of Salmonella pullorum and Salmonella gallinarum by rfbS allele-specific PCR.

    PubMed

    Jeon, Seonsook; Eo, Seong Kug; Kim, Yongseong; Yoo, Dong Jin; Kang, Seong Ho

    2007-09-30

    We report the use of capillary gel electrophoresis (CGE) based on a rfbS allele-specific polymerase chain reaction (PCR) for the analysis and simultaneous detection of Salmonella pullorum and Salmonella gallinarum, which are the major bacterial pathogens in poultry. rfbS allele-specific PCR was used to concurrently amplify two specific 147- and 187-bp DNA fragments for the simultaneous detection of S. pullorum and S. gallinarum at an annealing temperature of 54+/-1 degrees C and an MgCl(2) concentration of 2.8-5.6mM. Under an electric field of 333.3V/cm and a sieving matrix of 1.0% poly(ethyleneoxide) (M(r) 600000), the amplified PCR products were analyzed within 6min by CGE separation. This CGE assay could be translated to microchip format using programmed field strength gradients (PFSG). In the microchip gel electrophoresis with PFSG, both of the Salmonella analyses were completed within 30s, without decreasing the resolution efficiency. rfbS allele-specific PCR-microchip gel electrophoresis with the PFSG technique might be a new tool for the simultaneous detection of both S. pullorum and S. gallinarum, due to its ultra-speed and high efficiency.

  20. Gene-Environment Interactions in Asthma: Genetic and Epigenetic Effects.

    PubMed

    Lee, Jong-Uk; Kim, Jeong Dong; Park, Choon-Sik

    2015-07-01

    Over the past three decades, a large number of genetic studies have been aimed at finding genetic variants associated with the risk of asthma, applying various genetic and genomic approaches including linkage analysis, candidate gene polymorphism studies, and genome-wide association studies (GWAS). However, contrary to general expectation, even single nucleotide polymorphisms (SNPs) discovered by GWAS failed to fully explain the heritability of asthma. Thus, application of rare allele polymorphisms in well defined phenotypes and clarification of environmental factors have been suggested to overcome the problem of 'missing' heritability. Such factors include allergens, cigarette smoke, air pollutants, and infectious agents during pre- and post-natal periods. The first and simplest interaction between a gene and the environment is a candidate interaction of both a well known gene and environmental factor in a direct physical or chemical interaction such as between CD14 and endotoxin or between HLA and allergens. Several GWAS have found environmental interactions with occupational asthma, aspirin exacerbated respiratory disease, tobacco smoke-related airway dysfunction, and farm-related atopic diseases. As one of the mechanisms behind gene-environment interaction is epigenetics, a few studies on DNA CpG methylation have been reported on subphenotypes of asthma, pitching the exciting idea that it may be possible to intervene at the junction between the genome and the environment. Epigenetic studies are starting to include data from clinical samples, which will make them another powerful tool for re-search on gene-environment interactions in asthma.

  1. A Simple Interactive Introduction to Teaching Genetic Engineering

    ERIC Educational Resources Information Center

    Child, Paula

    2013-01-01

    In the UK, at key stage 4, students aged 14-15 studying GCSE Core Science or Unit 1 of the GCSE Biology course are required to be able to describe the process of genetic engineering to produce bacteria that can produce insulin. The simple interactive introduction described in this article allows students to consider the problem, devise a model and…

  2. 19 Gene × Environment Interaction Models in Psychiatric Genetics

    PubMed Central

    Karg, Katja; Sen, Srijan

    2013-01-01

    Gene-environment (G×E) interaction research is an emerging area in psychiatry, with the number of G×E studies growing rapidly in the past two decades. This article aims to give a comprehensive introduction to the field, with an emphasis on central theoretical and practical problems that are worth considering before conducting a G×E interaction study. On the theoretical side, we discuss two fundamental, but controversial questions about (1) the validity of statistical models for biological interaction and (2) the utility of G×E research for psychiatric genetics. On the practical side, we focus on study characteristics that potentially influence the outcome of G×E interaction studies and discuss strengths and pitfalls of different study designs, including recent approaches like Genome-Environment Wide Interaction Studies (GEWIS). Finally, we discuss recent developments in G×E interaction research on the most heavily investigated example in psychiatric genetics, the interaction between a serotonin transporter gene promoter variant (5-HTTLPR) and stress on depression. PMID:22241248

  3. On the Mapping of Epistatic Genetic Interactions in Natural Isolates: Combining Classical Genetics and Genomics.

    PubMed

    Hou, Jing; Schacherer, Joseph

    2016-01-01

    Genetic variation within species is the substrate of evolution. Epistasis, which designates the non-additive interaction between loci affecting a specific phenotype, could be one of the possible outcomes of genetic diversity. Dissecting the basis of such interactions is of current interest in different fields of biology, from exploring the gene regulatory network, to complex disease genetics, to the onset of reproductive isolation and speciation. We present here a general workflow to identify epistatic interactions between independently evolving loci in natural populations of the yeast Saccharomyces cerevisiae. The idea is to exploit the genetic diversity present in the species by evaluating a large number of crosses and analyzing the phenotypic distribution in the offspring. For a cross of interest, both parental strains would have a similar phenotypic value, whereas the resulting offspring would have a bimodal distribution of the phenotype, possibly indicating the presence of epistasis. Classical segregation analysis of the tetrads uncovers the penetrance and complexity of the interaction. In addition, this segregation could serve as the guidelines for choosing appropriate mapping strategies to narrow down the genomic regions involved. Depending on the segregation patterns observed, we propose different mapping strategies based on bulk segregant analysis or consecutive backcrosses followed by high-throughput genome sequencing. Our method is generally applicable to all systems with a haplodiplobiontic life cycle and allows high resolution mapping of interacting loci that govern various DNA polymorphisms from single nucleotide mutations to large-scale structural variations.

  4. Quantitative genetic-interaction mapping in mammalian cells.

    PubMed

    Roguev, Assen; Talbot, Dale; Negri, Gian Luca; Shales, Michael; Cagney, Gerard; Bandyopadhyay, Sourav; Panning, Barbara; Krogan, Nevan J

    2013-05-01

    Mapping genetic interactions (GIs) by simultaneously perturbing pairs of genes is a powerful tool for understanding complex biological phenomena. Here we describe an experimental platform for generating quantitative GI maps in mammalian cells using a combinatorial RNA interference strategy. We performed ∼11,000 pairwise knockdowns in mouse fibroblasts, focusing on 130 factors involved in chromatin regulation to create a GI map. Comparison of the GI and protein-protein interaction (PPI) data revealed that pairs of genes exhibiting positive GIs and/or similar genetic profiles were predictive of the corresponding proteins being physically associated. The mammalian GI map identified pathways and complexes but also resolved functionally distinct submodules within larger protein complexes. By integrating GI and PPI data, we created a functional map of chromatin complexes in mouse fibroblasts, revealing that the PAF complex is a central player in the mammalian chromatin landscape.

  5. Allele-specific polymerase chain reaction for detection of a mutation in the relax circular DNA and the covalently closed circular DNA of hepatitis B virus.

    PubMed

    Pan, Wan-Long; Hu, Jie-Li; Fang, Yan; Luo, Qiang; Xu, Ge; Xu, Lei; Jing, Zhou-Hong; Shan, Xue-Feng; Zhu, Yan-Ling; Huang, Ai-Long

    2013-12-01

    The relax circle DNA (rcDNA) sequence and the covalently closed circle DNA (cccDNA) sequence in hepatitis B virus (HBV) are crucial regions for HBV infections. To analyze mutations in rcDNA and cccDNA, DNA sequencing is often used, although it is time-consuming and expensive. Herein, we report a simple, economic, albeit accurate allele-specific polymerase chain reaction (AS-PCR) to detect mutations in these regions of HBV. This method can be extensively used to screen for mutations at specific positions of HBV genome.

  6. Simultaneous genotyping of single-nucleotide polymorphisms in alcoholism-related genes using duplex and triplex allele-specific PCR with two-step thermal cycles.

    PubMed

    Shirasu, Naoto; Kuroki, Masahide

    2014-01-01

    We developed a time- and cost-effective multiplex allele-specific polymerase chain reaction (AS-PCR) method based on the two-step PCR thermal cycles for genotyping single-nucleotide polymorphisms in three alcoholism-related genes: alcohol dehydrogenase 1B, aldehyde dehydrogenase 2 and μ-opioid receptor. Applying MightyAmp(®) DNA polymerase with optimized AS-primers and PCR conditions enabled us to achieve effective and selective amplification of the target alleles from alkaline lysates of a human hair root, and simultaneously to determine the genotypes within less than 1.5 h using minimal lab equipment.

  7. A genetic interaction map of cell cycle regulators

    PubMed Central

    Billmann, Maximilian; Horn, Thomas; Fischer, Bernd; Sandmann, Thomas; Huber, Wolfgang; Boutros, Michael

    2016-01-01

    Cell-based RNA interference (RNAi) is a powerful approach to screen for modulators of many cellular processes. However, resulting candidate gene lists from cell-based assays comprise diverse effectors, both direct and indirect, and further dissecting their functions can be challenging. Here we screened a genome-wide RNAi library for modulators of mitosis and cytokinesis in Drosophila S2 cells. The screen identified many previously known genes as well as modulators that have previously not been connected to cell cycle control. We then characterized ∼300 candidate modifiers further by genetic interaction analysis using double RNAi and a multiparametric, imaging-based assay. We found that analyzing cell cycle–relevant phenotypes increased the sensitivity for associating novel gene function. Genetic interaction maps based on mitotic index and nuclear size grouped candidates into known regulatory complexes of mitosis or cytokinesis, respectively, and predicted previously uncharacterized components of known processes. For example, we confirmed a role for the Drosophila CCR4 mRNA processing complex component l(2)NC136 during the mitotic exit. Our results show that the combination of genome-scale RNAi screening and genetic interaction analysis using process-directed phenotypes provides a powerful two-step approach to assigning components to specific pathways and complexes. PMID:26912791

  8. SNP-based large-scale identification of allele-specific gene expression in human B cells.

    PubMed

    Song, Min-Young; Kim, Hye-Eun; Kim, Sun; Choi, Ick-Hwa; Lee, Jong-Keuk

    2012-02-10

    Polymorphism and variations in gene expression provide the genetic basis for human variation. Allelic variation of gene expression, in particular, may play a crucial role in phenotypic variation and disease susceptibility. To identify genes with allelic expression in human cells, we genotyped genomic DNA and cDNA isolated from 31 immortalized B cell lines from three Centre d'Etude du Polymorphisme Humain (CEPH) families using high-density single-nucleotide polymorphism (SNP) chips containing 13,900 exonic SNPs. We identified seven SNPs in five genes with monoallelic expression, 146 SNPs in 125 genes with allelic imbalance in expression with preferentially higher expression of one allele in a heterozygous individual. The monoallelically expressed genes (ERAP2, MDGA1, LOC644422, SDCCAG3P1 and CLTCL1) were regulated by cis-acting, non-imprinted differential allelic control. In addition, all monoallelic gene expression patterns and allelic imbalances in gene expression in B cells were transmitted from parents to offspring in the pedigree, indicating genetic transmission of allelic gene expression. Furthermore, frequent allele substitution, probably due to RNA editing, was also observed in 21 genes in 23 SNPs as well as in 48 SNPs located in regions containing no known genes. In this study, we demonstrated that allelic gene expression is frequently observed in human B cells, and SNP chips are very useful tools for detecting allelic gene expression. Overall, our data provide a valuable framework for better understanding allelic gene expression in human B cells.

  9. Allele Specific Locked Nucleic Acid Quantitative PCR (ASLNAqPCR): An Accurate and Cost-Effective Assay to Diagnose and Quantify KRAS and BRAF Mutation

    PubMed Central

    Morandi, Luca; de Biase, Dario; Visani, Michela; Cesari, Valentina; De Maglio, Giovanna; Pizzolitto, Stefano; Pession, Annalisa; Tallini, Giovanni

    2012-01-01

    The use of tyrosine kinase inhibitors (TKIs) requires the testing for hot spot mutations of the molecular effectors downstream the membrane-bound tyrosine kinases since their wild type status is expected for response to TKI therapy. We report a novel assay that we have called Allele Specific Locked Nucleic Acid quantitative PCR (ASLNAqPCR). The assay uses LNA-modified allele specific primers and LNA-modified beacon probes to increase sensitivity, specificity and to accurately quantify mutations. We designed primers specific for codon 12/13 KRAS mutations and BRAF V600E, and validated the assay with 300 routine samples from a variety of sources, including cytology specimens. All were analyzed by ASLNAqPCR and Sanger sequencing. Discordant cases were pyrosequenced. ASLNAqPCR correctly identified BRAF and KRAS mutations in all discordant cases and all had a mutated/wild type DNA ratio below the analytical sensitivity of the Sanger method. ASLNAqPCR was 100% specific with greater accuracy, positive and negative predictive values compared with Sanger sequencing. The analytical sensitivity of ASLNAqPCR is 0.1%, allowing quantification of mutated DNA in small neoplastic cell clones. ASLNAqPCR can be performed in any laboratory with real-time PCR equipment, is very cost-effective and can easily be adapted to detect hot spot mutations in other oncogenes. PMID:22558339

  10. Enhanced specificity of TPMT*2 genotyping using unidirectional wild-type and mutant allele-specific scorpion primers in a single tube.

    PubMed

    Chen, Dong; Yang, Zhao; Xia, Han; Huang, Jun-Fu; Zhang, Yang; Jiang, Tian-Nun; Wang, Gui-Yu; Chuai, Zheng-Ran; Fu, Wei-Ling; Huang, Qing

    2014-01-01

    Genotyping of thiopurine S-methyltransferase (TPMT) is recommended for predicting the adverse drug response of thiopurines. In the current study, a novel version of allele-specific PCR (AS-PCR), termed competitive real-time fluorescent AS-PCR (CRAS-PCR) was developed to analyze the TPMT*2 genotype in ethnic Chinese. This technique simultaneously uses wild-type and mutant allele-specific scorpion primers in a single reaction. To determine the optimal conditions for both traditional AS-PCR and CRAS-PCR, we used the Taguchi method, an engineering optimization process that balances the concentrations of all components using an orthogonal array rather than a factorial array. Instead of running up to 264 experiments with the conventional factorial method, the Taguchi method achieved the same optimization using only 16 experiments. The optimized CRAS-PCR system completely avoided non-specific amplification occurring in traditional AS-PCR and could be performed at much more relaxed reaction conditions at 1% sensitivity, similar to traditional AS-PCR. TPMT*2 genotyping of 240 clinical samples was consistent with published data. In conclusion, CRAS-PCR is a novel and robust genotyping method, and the Taguchi method is an effective tool for the optimization of molecular analysis techniques.

  11. Characterization of allele-specific expression of the X-linked gene MAO-A in trophectoderm cells of bovine embryos produced by somatic cell nuclear transfer.

    PubMed

    Ferreira, A R; Aguiar Filho, L F C; Sousa, R V; Sartori, R; Franco, M M

    2015-10-05

    Somatic cell nuclear transfer (SCNT) may affect epigenetic mechanisms and alter the expression of genes related to embryo development and X chromosome inactivation (XCI). We characterized allele-specific expression of the X-linked gene monoamine oxidase type A (MAO-A) in the trophectoderm (TF) of embryos produced by SCNT. Total RNA was isolated from individual biopsies (N = 25), and the allele-specific expression assessed by reverse transcription-polymerase chain reaction-restriction fragment length polymorphism. Both paternal and maternal alleles were expressed in the trophectoderm. However, a higher frequency of the mono-allelic expression of a specific allele was observed (N = 17; 68%), with the remaining samples showing the presence of mRNA from both alleles (N = 8; 32%). Considering that MAO-A is subject to XCI in bovine, our results suggest that SCNT may influence XCI because neither an imprinted (mono-allelic expression in all samples) nor a random (presence of mRNA from both alleles in all samples) pattern of XCI was observed in TF. Due to the importance of XCI in mammalian embryo development and its sensitivity to in vitro conditions, X-linked genes subject to XCI are candidates for use in the development of embryo quality molecular markers for assisted reproduction.

  12. Determination of cis/trans phase of variations in the MC1R gene with allele-specific PCR and single base extension.

    PubMed

    Mengel-From, Jonas; Børsting, Claus; Sanchez, Juan J; Eiberg, Hans; Morling, Niels

    2008-12-01

    The MC1R gene encodes a protein with key regulatory functions in the melanin synthesis. A multiplex PCR and a multiplex single base extension protocol were established for genotyping six exonic MC1R variations highly penetrant for red hair (R), four exonic MC1R variations weakly penetrant for red hair (r), two frameshift variations highly penetrant for red hair (R) and three variations in the promoter region. We genotyped 600 individuals from Denmark using either CE or MALDI-TOF MS as the detection platform. A total of 62 individuals were genotyped R/R and among the 62 individuals, 57 had red hair and five had blond hair colour. Two different R alleles may be located in cis (RR/-) position or trans (R/R) position, and the phenotype associated with RR/- and R/R may be different. Two allele-specific PCRs were established with primers targeting the -G445A variation in the MC1R promoter and the allele-specific PCR products were used in the multiplex single base extension assay. In all 62 individuals, the MC1R variants were situated in trans position. Another 18 individuals with red hair colour were either genotyped R/- or R/r, suggesting that other genes influence hair colour.

  13. A two-step method for identification of the Chinese glutinous rice Suyunuo, based on ISSR-SCAR and allele-specific markers.

    PubMed

    Lin, Y B; Zhang, Y M; Hang, Y Y; Li, M M; Zhou, G C; Shen, X L; Sun, X Q

    2016-10-05

    Suyunuo is a valuable glutinous rice variety cultivated mainly in the Lake Taihu area of China. Historically, Suyunuo was presented to emperors as a tribute, and, still today, enjoys a great reputation in China. This study aimed to develop a unique, specific molecular marker for the identification of Suyunuo rice. Polymerase chain reaction (PCR) amplification of inter-simple sequence repeat (ISSR) molecular markers was performed on Suyunuo and 11 other glutinous rice varieties that are mainly cultivated in the Yangtze River Delta region. A Suyunuo-specific band was detected in the PCR products generated from primer ISSR-807. A sequence characterized amplified region (SCAR) primer pair targeting a Suyunuo-specific band was subsequently designed. The SCAR primers amplified a target band in all individuals of Suyunuo and in four glutinous indica varieties, whereas no bands were found in the seven glutinous japonica varieties. Subsequently, sequences amplified by the SCAR primer pair were analyzed to facilitate the design of Suyunuo allele-specific primers. The allele-specific primer pair produced target bands in all individuals of Suyunuo rice but no bands in individuals of any of the other 11 rice varieties. This study provides a theoretical guideline for rice germplasm identification and innovation of other valuable rice landraces.

  14. Genetics of Interactive Behavior in Silver Foxes (Vulpes vulpes).

    PubMed

    Nelson, Ronald M; Temnykh, Svetlana V; Johnson, Jennifer L; Kharlamova, Anastasiya V; Vladimirova, Anastasiya V; Gulevich, Rimma G; Shepeleva, Darya V; Oskina, Irina N; Acland, Gregory M; Rönnegård, Lars; Trut, Lyudmila N; Carlborg, Örjan; Kukekova, Anna V

    2017-01-01

    Individuals involved in a social interaction exhibit different behavioral traits that, in combination, form the individual's behavioral responses. Selectively bred strains of silver foxes (Vulpes vulpes) demonstrate markedly different behaviors in their response to humans. To identify the genetic basis of these behavioral differences we constructed a large F2 population including 537 individuals by cross-breeding tame and aggressive fox strains. 98 fox behavioral traits were recorded during social interaction with a human experimenter in a standard four-step test. Patterns of fox behaviors during the test were evaluated using principal component (PC) analysis. Genetic mapping identified eight unique significant and suggestive QTL. Mapping results for the PC phenotypes from different test steps showed little overlap suggesting that different QTL are involved in regulation of behaviors exhibited in different behavioral contexts. Many individual behavioral traits mapped to the same genomic regions as PC phenotypes. This provides additional information about specific behaviors regulated by these loci. Further, three pairs of epistatic loci were also identified for PC phenotypes suggesting more complex genetic architecture of the behavioral differences between the two strains than what has previously been observed.

  15. Limited gene misregulation is exacerbated by allele-specific upregulation in lethal hybrids between Drosophila melanogaster and Drosophila simulans.

    PubMed

    Wei, Kevin H-C; Clark, Andrew G; Barbash, Daniel A

    2014-07-01

    Misregulation of gene expression is often observed in interspecific hybrids and is generally attributed to regulatory incompatibilities caused by divergence between the two genomes. However, it has been challenging to distinguish effects of regulatory divergence from secondary effects including developmental and physiological defects common to hybrids. Here, we use RNA-Seq to profile gene expression in F1 hybrid male larvae from crosses of Drosophila melanogaster to its sibling species D. simulans. We analyze lethal and viable hybrid males, the latter produced using a mutation in the X-linked D. melanogaster Hybrid male rescue (Hmr) gene and compare them with their parental species and to public data sets of gene expression across development. We find that Hmr has drastically different effects on the parental and hybrid genomes, demonstrating that hybrid incompatibility genes can exhibit novel properties in the hybrid genetic background. Additionally, we find that D. melanogaster alleles are preferentially affected between lethal and viable hybrids. We further determine that many of the differences between the hybrids result from developmental delay in the Hmr(+) hybrids. Finally, we find surprisingly modest expression differences in hybrids when compared with the parents, with only 9% and 4% of genes deviating from additivity or expressed outside of the parental range, respectively. Most of these differences can be attributed to developmental delay and differences in tissue types. Overall, our study suggests that hybrid gene misexpression is prone to overestimation and that even between species separated by approximately 2.5 Ma, regulatory incompatibilities are not widespread in hybrids.

  16. Establishing Genetic Interactions by a Synthetic Dosage Lethality Phenotype

    PubMed Central

    Kroll, E. S.; Hyland, K. M.; Hieter, P.; Li, J. J.

    1996-01-01

    We have devised a genetic screen, termed synthetic dosage lethality, in which a cloned ``reference'' gene is inducibly overexpressed in a set of mutant strains carrying potential ``target'' mutations. To test the specificity of the method, two reference genes, CTF13, encoding a centromere binding protein, and ORC6, encoding a subunit of the origin of replication binding complex, were overexpressed in a large collection of mutants defective in either chromosome segregation or replication. CTF13 overexpression caused synthetic dosage lethality in combination with ctf14-42 (cbf2, ndc10), ctf17-61 (chl4), ctf19-58 and ctf19-26. ORC6 overexpression caused synthetic dosage lethality in combination with cdc2-1, cdc6-1, cdc14-1, cdc16-1 and cdc46-1. These relationships reflect specific interactions, as overexpression of CTF13 caused lethality in kinetochore mutants and overexpression of ORC6 caused lethality in replication mutants. In contrast, only one case of dosage suppression was observed. We suggest that synthetic dosage lethality identifies a broad spectrum of interacting mutations and is of general utility in detecting specific genetic interactions using a cloned wild-type gene as a starting point. Furthermore, synthetic dosage lethality is easily adapted to the study of cloned genes in other organisms. PMID:8722765

  17. Epistatic study reveals two genetic interactions in blood pressure regulation

    PubMed Central

    2013-01-01

    Background Although numerous candidate gene and genome-wide association studies have been performed on blood pressure, a small number of regulating genetic variants having a limited effect have been identified. This phenomenon can partially be explained by possible gene-gene/epistasis interactions that were little investigated so far. Methods We performed a pre-planned two-phase investigation: in phase 1, one hundred single nucleotide polymorphisms (SNPs) in 65 candidate genes were genotyped in 1,912 French unrelated adults in order to study their two-locus combined effects on blood pressure (BP) levels. In phase 2, the significant epistatic interactions observed in phase 1 were tested in an independent population gathering 1,755 unrelated European adults. Results Among the 9 genetic variants significantly associated with systolic and diastolic BP in phase 1, some may act through altering the corresponding protein levels: SNPs rs5742910 (Padjusted≤0.03) and rs6046 (Padjusted =0.044) in F7 and rs1800469 (Padjusted ≤0.036) in TGFB1; whereas some may be functional through altering the corresponding protein structure: rs1800590 (Padjusted =0.028, SE=0.088) in LPL and rs2228570 (Padjusted ≤9.48×10-4) in VDR. The two epistatic interactions found for systolic and diastolic BP in the discovery phase: VCAM1 (rs1041163) * APOB (rs1367117), and SCGB1A1 (rs3741240) * LPL (rs1800590), were tested in the replication population and we observed significant interactions on DBP. In silico analyses yielded putative functional properties of the SNPs involved in these epistatic interactions trough the alteration of corresponding protein structures. Conclusions These findings support the hypothesis that different pathways and then different genes may act synergistically in order to modify BP. This could highlight novel pathophysiologic mechanisms underlying hypertension. PMID:23298194

  18. Prediction of Genetic Interactions Using Machine Learning and Network Properties

    PubMed Central

    Madhukar, Neel S.; Elemento, Olivier; Pandey, Gaurav

    2015-01-01

    A genetic interaction (GI) is a type of interaction where the effect of one gene is modified by the effect of one or several other genes. These interactions are important for delineating functional relationships among genes and their corresponding proteins, as well as elucidating complex biological processes and diseases. An important type of GI – synthetic sickness or synthetic lethality – involves two or more genes, where the loss of either gene alone has little impact on cell viability, but the combined loss of all genes leads to a severe decrease in fitness (sickness) or cell death (lethality). The identification of GIs is an important problem for it can help delineate pathways, protein complexes, and regulatory dependencies. Synthetic lethal interactions have important clinical and biological significance, such as providing therapeutically exploitable weaknesses in tumors. While near systematic high-content screening for GIs is possible in single cell organisms such as yeast, the systematic discovery of GIs is extremely difficult in mammalian cells. Therefore, there is a great need for computational approaches to reliably predict GIs, including synthetic lethal interactions, in these organisms. Here, we review the state-of-the-art approaches, strategies, and rigorous evaluation methods for learning and predicting GIs, both under general (healthy/standard laboratory) conditions and under specific contexts, such as diseases. PMID:26579514

  19. Transcriptome and allele specificity associated with a 3BL locus for Fusarium crown rot resistance in bread wheat.

    PubMed

    Ma, Jian; Stiller, Jiri; Zhao, Qiang; Feng, Qi; Cavanagh, Colin; Wang, Penghao; Gardiner, Donald; Choulet, Frédéric; Feuillet, Catherine; Zheng, You-Liang; Wei, Yuming; Yan, Guijun; Han, Bin; Manners, John M; Liu, Chunji

    2014-01-01

    Fusarium pathogens cause two major diseases in cereals, Fusarium crown rot (FCR) and head blight (FHB). A large-effect locus conferring resistance to FCR disease was previously located to chromosome arm 3BL (designated as Qcrs-3B) and several independent sets of near isogenic lines (NILs) have been developed for this locus. In this study, five sets of the NILs were used to examine transcriptional changes associated with the Qcrs-3B locus and to identify genes linked to the resistance locus as a step towards the isolation of the causative gene(s). Of the differentially expressed genes (DEGs) detected between the NILs, 12.7% was located on the single chromosome 3B. Of the expressed genes containing SNP (SNP-EGs) detected, 23.5% was mapped to this chromosome. Several of the DEGs and SNP-EGs are known to be involved in host-pathogen interactions, and a large number of the DEGs were among those detected for FHB in previous studies. Of the DEGs detected, 22 were mapped in the Qcrs-3B interval and they included eight which were detected in the resistant isolines only. The enrichment of DEG, and not necessarily those containing SNPs between the resistant and susceptible isolines, around the Qcrs-3B locus is suggestive of local regulation of this region by the resistance allele. Functions for 13 of these DEGs are known. Of the SNP-EGs, 28 were mapped in the Qcrs-3B interval and biological functions for 16 of them are known. These results provide insights into responses regulated by the 3BL locus and identify a tractable number of target genes for fine mapping and functional testing to identify the causative gene(s) at this QTL.

  20. Intronless WNT10B-short variant underlies new recurrent allele-specific rearrangement in acute myeloid leukaemia

    PubMed Central

    Lazzaroni, Francesca; Del Giacco, Luca; Biasci, Daniele; Turrini, Mauro; Prosperi, Laura; Brusamolino, Roberto; Cairoli, Roberto; Beghini, Alessandro

    2016-01-01

    Defects in the control of Wnt signaling have emerged as a recurrent mechanism involved in cancer pathogenesis and acute myeloid leukaemia (AML), including the hematopoietic regeneration-associated WNT10B in AC133bright leukaemia cells, although the existence of a specific mechanism remains unproven. We have obtained evidences for a recurrent rearrangement, which involved the WNT10B locus (WNT10BR) within intron 1 (IVS1) and flanked at the 5′ by non-human sequences whose origin remains to be elucidated; it also expressed a transcript variant (WNT10BIVS1) which was mainly detected in a cohort of patients with intermediate/unfavorable risk AML. We also identified in two separate cases, affected by AML and breast cancer respectively, a genomic transposable short form of human WNT10B (ht-WNT10B). The intronless ht-WNT10B resembles a long non-coding RNA (lncRNA), which suggests its involvement in a non-random microhomology-mediated recombination generating the rearranged WNT10BR. Furthermore, our studies supports an autocrine activation primed by the formation of WNT10B-FZD4/5 complexes in the breast cancer MCF7 cells that express the WNT10BIVS1. Chemical interference of WNT-ligands production by the porcupine inhibitor IWP-2 achieved a dose-dependent suppression of the WNT10B-FZD4/5 interactions. These results present the first evidence for a recurrent rearrangement promoted by a mobile ht-WNT10B oncogene, as a relevant mechanism for Wnt involvement in human cancer. PMID:27853307

  1. Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae

    PubMed Central

    Dilworth, David; Nelson, Christopher J.

    2015-01-01

    Determining the mode of action of bioactive chemicals is of interest to a broad range of academic, pharmaceutical, and industrial scientists. Saccharomyces cerevisiae, or budding yeast, is a model eukaryote for which a complete collection of ~6,000 gene deletion mutants and hypomorphic essential gene mutants are commercially available. These collections of mutants can be used to systematically detect chemical-gene interactions, i.e. genes necessary to tolerate a chemical. This information, in turn, reports on the likely mode of action of the compound. Here we describe a protocol for the rapid identification of chemical-genetic interactions in budding yeast. We demonstrate the method using the chemotherapeutic agent 5-fluorouracil (5-FU), which has a well-defined mechanism of action. Our results show that the nuclear TRAMP RNA exosome and DNA repair enzymes are needed for proliferation in the presence of 5-FU, which is consistent with previous microarray based bar-coding chemical genetic approaches and the knowledge that 5-FU adversely affects both RNA and DNA metabolism. The required validation protocols of these high-throughput screens are also described. PMID:25867090

  2. DASH-2: flexible, low-cost, and high-throughput SNP genotyping by dynamic allele-specific hybridization on membrane arrays.

    PubMed

    Jobs, Magnus; Howell, W Mathias; Stromqvist, Linda; Mayr, Torsten; Brookes, Anthony J

    2003-05-01

    Genotyping technologies need to be continually improved in terms of their flexibility, cost-efficiency, and throughput, to push forward genome variation analysis. To this end, we have leveraged the inherent simplicity of dynamic allele-specific hybridization (DASH) and coupled it to recent innovations of centrifugal arrays and iFRET. We have thereby created a new genotyping platform we term DASH-2, which we demonstrate and evaluate in this report. The system is highly flexible in many ways (any plate format, PCR multiplexing, serial and parallel array processing, spectral-multiplexing of hybridization probes), thus supporting a wide range of application scales and objectives. Precision is demonstrated to be in the range 99.8-100%, and assay costs are 0.05 USD or less per genotype assignment. DASH-2 thus provides a powerful new alternative for genotyping practice, which can be used without the need for expensive robotics support.

  3. CalMaTe: a method and software to improve allele-specific copy number of SNP arrays for downstream segmentation

    PubMed Central

    Ortiz-Estevez, Maria; Aramburu, Ander; Bengtsson, Henrik; Neuvial, Pierre; Rubio, Angel

    2012-01-01

    Summary: CalMaTe calibrates preprocessed allele-specific copy number estimates (ASCNs) from DNA microarrays by controlling for single-nucleotide polymorphism-specific allelic crosstalk. The resulting ASCNs are on average more accurate, which increases the power of segmentation methods for detecting changes between copy number states in tumor studies including copy neutral loss of heterozygosity. CalMaTe applies to any ASCNs regardless of preprocessing method and microarray technology, e.g. Affymetrix and Illumina. Availability: The method is available on CRAN (http://cran.r-project.org/) in the open-source R package calmate, which also includes an add-on to the Aroma Project framework (http://www.aroma-project.org/). Contact: arubio@ceit.es Supplementary information: Supplementary data are available at Bioinformatics online. PMID:22576175

  4. Detection of cariogenic bacteria genes by a combination of allele-specific polymerase chain reactions and a novel bioluminescent pyrophosphate assay.

    PubMed

    Arakawa, Hidetoshi; Karasawa, Koji; Igarashi, Takeshi; Suzuki, Shigeya; Goto, Nobuichi; Maeda, Masako

    2004-10-15

    We developed a novel bioluminescent assay for detection of pyrophosphate in polymerase chain reaction (PCR) product. The principle of this method is as follows: pyrophosphate released by PCR is converted to adenosine 5'-triphosphate (ATP) by pyruvate phosphate dikinase in the presence of the substrate pyruvate phosphate and the coenzyme adenosine 5'-monophosphate; subsequently, ATP concentration is determined by firefly luciferase reaction. The detection limit of pyrophosphate is 1.56 x 10(-15)mol/assay. Additionally, luminescent intensity reached a maximum at approximately 100 s and remained elevated beyond 10 min. This approach is applicable to the detection of cariogenic bacteria in dental plaque. Thus, the allele-specific PCR products of Streptococcus mutans and Streptococcus sobrinus developed in this study were measured via the proposed bioluminescent assay. This protocol, which does not require expensive equipment, can be utilized to rapidly monitor cariogenic bacteria in dental plaque.

  5. Quantitative analysis of triple-mutant genetic interactions.

    PubMed

    Braberg, Hannes; Alexander, Richard; Shales, Michael; Xu, Jiewei; Franks-Skiba, Kathleen E; Wu, Qiuqin; Haber, James E; Krogan, Nevan J

    2014-08-01

    The quantitative analysis of genetic interactions between pairs of gene mutations has proven to be effective for characterizing cellular functions, but it can miss important interactions for functionally redundant genes. To address this limitation, we have developed an approach termed triple-mutant analysis (TMA). The procedure relies on a query strain that contains two deletions in a pair of redundant or otherwise related genes, which is crossed against a panel of candidate deletion strains to isolate triple mutants and measure their growth. A central feature of TMA is to interrogate mutants that are synthetically sick when two other genes are deleted but interact minimally with either single deletion. This approach has been valuable for discovering genes that restore critical functions when the principal actors are deleted. TMA has also uncovered double-mutant combinations that produce severe defects because a third protein becomes deregulated and acts in a deleterious fashion, and it has revealed functional differences between proteins presumed to act together. The protocol is optimized for Singer ROTOR pinning robots, takes 3 weeks to complete and measures interactions for up to 30 double mutants against a library of 1,536 single mutants.

  6. Allele-specific transcriptional activity of the variable number of tandem repeats of the inducible nitric oxide synthase gene is associated with idiopathic achalasia

    PubMed Central

    Grosso, Michela; Palumbo, Ilaria; Pesce, Marcella; D’Alessandro, Alessandra; Zaninotto, Giovanni; Annese, Vito; Petruzzelli, Raffaella; Izzo, Paola; Sepulveres, Rossana; Bruzzese, Dario; Esposito, Giuseppe; Cuomo, Rosario

    2016-01-01

    Background Polymorphisms of genes involved in the regulation of the immune response are risk factors for achalasia, but their contribution to disease pathogenesis is unknown. Nitric oxide is involved both in immune function and inhibitory neurotransmission. Objective The objective of this article is to assess the association and the functional relevance of the CCTTT-inducible nitric oxide synthase (NOS2) gene promoter polymorphism in achalasia. Methods Genomic DNA was isolated from 181 achalasia patients and 220 controls. Genotyping of the (CCTTT)n repeats was performed by PCR and capillary electrophoresis, and data analyzed by considering the frequency of the different alleles. HT29 cells were transfected with iNOS luciferase promoter-reporter plasmids containing different (CCTTT)n. Results The alleles’ distribution ranged from 7 to 18, with a peak frequency at 12 repeats. Analysis of the allele frequencies revealed that individuals carrying 10 and 13 CCTTT repeats were respectively less and more frequent in achalasia (OR 0.5, 95% CI 0.3–0.5 and OR 1.6, 95% CI 1–2.4, all p < 0.05). Long repeats were also significantly associated with an earlier onset of the disease (OR 1.69, 95% CI 1.13–2.53, p = 0.01). Transfection experiments revealed a similar allele-specific iNOS transcriptional activity. Conclusion The functional polymorphism (CCTTT) of NOS2 promoter is associated with achalasia, likely by an allele-specific modulation of nitric oxide production. PMID:28344787

  7. Disagreement in genotyping results of drug resistance alleles of the Plasmodium falciparum dihydrofolate reductase (Pfdhfr) gene by allele-specific PCR (ASPCR) assays and Sanger sequencing.

    PubMed

    Sharma, Divya; Lather, Manila; Dykes, Cherry L; Dang, Amita S; Adak, Tridibes; Singh, Om P

    2016-01-01

    The rapid spread of antimalarial drug resistance in Plasmodium falciparum over the past few decades has necessitated intensive monitoring of such resistance for an effective malaria control strategy. P. falciparum dihydropteroate synthase (Pfdhps) and P. falciparum dihydrofolate reductase (Pfdhfr) genes act as molecular markers for resistance against the antimalarial drugs sulphadoxine and pyrimethamine, respectively. Resistance to pyrimethamine which is used as a partner drug in artemisinin combination therapy (ACT) is associated with several mutations in the Pfdhfr gene, namely A16V, N51I, C59R, S108N/T and I164L. Therefore, routine monitoring of Pfdhfr-drug-resistant alleles in a population may help in effective drug resistance management. Allele-specific PCR (ASPCR) is one of the commonly used methods for molecular genotyping of these alleles. In this study, we genotyped 55 samples of P. falciparum for allele discrimination at four codons of Pfdhfr (N51, C59, S108 and I164) by ASPCR using published methods and by Sanger's DNA sequencing method. We found that the ASPCR identified a significantly higher number of mutant alleles as compared to the DNA sequencing method. Such discrepancies arise due to the non-specificity of some of the allele-specific primer sets and due to the lack of sensitivity of Sanger's DNA sequencing method to detect minor alleles present in multiple clone infections. This study reveals the need of a highly specific and sensitive method for genotyping and detecting minor drug-resistant alleles present in multiple clonal infections.

  8. Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions.

    PubMed

    de Los Campos, Gustavo; Veturi, Yogasudha; Vazquez, Ana I; Lehermeier, Christina; Pérez-Rodríguez, Paulino

    Naturally and artificially selected populations usually exhibit some degree of stratification. In Genome-Wide Association Studies and in Whole-Genome Regressions (WGR) analyses, population stratification has been either ignored or dealt with as a potential confounder. However, systematic differences in allele frequency and in patterns of linkage disequilibrium can induce sub-population-specific effects. From this perspective, structure acts as an effect modifier rather than as a confounder. In this article, we extend WGR models commonly used in plant and animal breeding to allow for sub-population-specific effects. This is achieved by decomposing marker effects into main effects and interaction components that describe group-specific deviations. The model can be used both with variable selection and shrinkage methods and can be implemented using existing software for genomic selection. Using a wheat and a pig breeding data set, we compare parameter estimates and the prediction accuracy of the interaction WGR model with WGR analysis ignoring population stratification (across-group analysis) and with a stratified (i.e., within-sub-population) WGR analysis. The interaction model renders trait-specific estimates of the average correlation of effects between sub-populations; we find that such correlation not only depends on the extent of genetic differentiation in allele frequencies between groups but also varies among traits. The evaluation of prediction accuracy shows a modest superiority of the interaction model relative to the other two approaches. This superiority is the result of better stability in performance of the interaction models across data sets and traits; indeed, in almost all cases, the interaction model was either the best performing model or it performed close to the best performing model.

  9. Functional Interactions between Unlinked Muscle Genes within Haploinsufficient Regions of the Drosophila Genome

    PubMed Central

    Homyk-Jr., T.; Emerson-Jr., C. P.

    1988-01-01

    Mutations in 13 genes affecting muscle development in Drosophila have been examined in pairwise combinations for evidence of genetic interactions. Heterozygous combinations of mutations in five genes, including the gene coding for myosin heavy chain, result in more severe phenotypes than respective single heterozygous mutant controls. The various mutant interactions include examples showing allele-specific intergenic interactions, gene specific interactions, and allele-specific intragenic complementations, suggesting that some interactions result from the manner in which mutant gene products associate. Interactions that result from alterations in ``+'' gene copy number were also uncovered, suggesting that normal myofibril development requires that the relative amounts of respective gene products produced be tightly regulated. The importance of the latter parameter is substantiated by the finding that all five interacting loci map to disperse haploinsufficient or haplolethal regions of the genome. The implications of the present findings are discussed in relation to pursuing the phenomena involving genetic interactions to identify new genes encoding interacting myofibrillar proteins, to examine the nature of intermolecular interactions in mutant and normal development and to decipher the quantitative and temporal regulation of a large family of functionally related gene products. PMID:3135237

  10. Host - hepatitis C viral interactions: The role of genetics.

    PubMed

    Heim, Markus H; Bochud, Pierre-Yves; George, Jacob

    2016-10-01

    Hepatitis C virus (HCV) is a major cause of chronic viral hepatitis that can lead to cirrhosis and hepatocellular carcinoma. Only a minority of patients can clear the virus spontaneously. Elimination of HCV during acute infection correlates with a rapid induction of innate, especially interferon (IFN)-induced genes, and a delayed induction of adaptive immune responses. There is a strong association between genetic variants in the IFNλ (IL28B) locus with the rate of spontaneous clearance. Individuals with the ancestral IFNλ4 allele capable of producing a fully active IFNλ4 are paradoxically not able to clear HCV in the acute phase and develop chronic hepatitis C (CHC) with more than 90% probability. In the chronic phase of HCV infection, the wild-type IFNλ4 genotype is strongly associated with an induction of hundreds of classical type I/type III IFN stimulated genes in hepatocytes. However, the activation of the endogenous IFN system in the liver is ineffective in clearing HCV, and is even associated with impaired therapeutic responses to pegylated (Peg)IFNα containing treatments. While the role of genetic variation in the IFNλ locus to the outcome of CHC treatment has declined, it is clear that variation not only at this locus, but also at other loci, modulate clinically important liver phenotypes, including inflammation, fibrosis progression and the development of hepatocellular cancer. In this review, we summarize current knowledge about the role of genetics in the host response to viral hepatitis and the potential future evolution of knowledge in understanding host-viral interactions.

  11. The genetics of phenotypic plasticity. XIII. Interactions with developmental instability.

    PubMed

    Scheiner, Samuel M

    2014-04-01

    In a heterogeneous environment, natural selection on a trait can lead to a variety of outcomes, including phenotypic plasticity and bet-hedging through developmental instability. These outcomes depend on the magnitude and pattern of that heterogeneity and the spatial and temporal distribution of individuals. However, we do not know if and how those two outcomes might interact with each other. I examined the joint evolution of plasticity and instability through the use of an individual-based simulation in which each could be genetically independent or pleiotropically linked. When plasticity and instability were determined by different loci, the only effect on the evolution of plasticity was the elimination of plasticity as a bet-hedging strategy. In contrast, the effects on the evolution of instability were more substantial. If conditions were such that the population was likely to evolve to the optimal reaction norm, then instability was disfavored. Instability was favored only when the lack of a reliable environmental cue disfavored plasticity. When plasticity and instability were determined by the same loci, instability acted as a strong limitation on the evolution of plasticity. Under some conditions, selection for instability resulted in maladaptive plasticity. Therefore, before testing any models of plasticity or instability evolution, or interpreting empirical patterns, it is important to know the ecological, life history, developmental, and genetic contexts of trait phenotypic plasticity and developmental instability.

  12. Genetic and environmental control of host-gut microbiota interactions

    PubMed Central

    Org, Elin; Parks, Brian W.; Joo, Jong Wha J.; Emert, Benjamin; Schwartzman, William; Kang, Eun Yong; Mehrabian, Margarete; Pan, Calvin; Knight, Rob; Gunsalus, Robert; Drake, Thomas A.; Eskin, Eleazar; Lusis, Aldons J.

    2015-01-01

    Genetics provides a potentially powerful approach to dissect host-gut microbiota interactions. Toward this end, we profiled gut microbiota using 16s rRNA gene sequencing in a panel of 110 diverse inbred strains of mice. This panel has previously been studied for a wide range of metabolic traits and can be used for high-resolution association mapping. Using a SNP-based approach with a linear mixed model, we estimated the heritability of microbiota composition. We conclude that, in a controlled environment, the genetic background accounts for a substantial fraction of abundance of most common microbiota. The mice were previously studied for response to a high-fat, high-sucrose diet, and we hypothesized that the dietary response was determined in part by gut microbiota composition. We tested this using a cross-fostering strategy in which a strain showing a modest response, SWR, was seeded with microbiota from a strain showing a strong response, A×B19. Consistent with a role of microbiota in dietary response, the cross-fostered SWR pups exhibited a significantly increased response in weight gain. To examine specific microbiota contributing to the response, we identified various genera whose abundance correlated with dietary response. Among these, we chose Akkermansia muciniphila, a common anaerobe previously associated with metabolic effects. When administered to strain A×B19 by gavage, the dietary response was significantly blunted for obesity, plasma lipids, and insulin resistance. In an effort to further understand host-microbiota interactions, we mapped loci controlling microbiota composition and prioritized candidate genes. Our publicly available data provide a resource for future studies. PMID:26260972

  13. Genetic variation in aggregation behaviour and interacting phenotypes in Drosophila

    PubMed Central

    Philippe, Anne-Sophie; Jeanson, Raphael; Pasquaretta, Cristian; Rebaudo, Francois; Sueur, Cedric; Mery, Frederic

    2016-01-01

    Aggregation behaviour is the tendency for animals to group together, which may have important consequences on individual fitness. We used a combination of experimental and simulation approaches to study how genetic variation and social environment interact to influence aggregation dynamics in Drosophila. To do this, we used two different natural lines of Drosophila that arise from a polymorphism in the foraging gene (rovers and sitters). We placed groups of flies in a heated arena. Flies could freely move towards one of two small, cooler refuge areas. In groups of the same strain, sitters had a greater tendency to aggregate. The observed behavioural variation was based on only two parameters: the probability of entering a refuge and the likelihood of choosing a refuge based on the number of individuals present. We then directly addressed how different strains interact by mixing rovers and sitters within a group. Aggregation behaviour of each line was strongly affected by the presence of the other strain, without changing the decision rules used by each. Individuals obeying local rules shaped complex group dynamics via a constant feedback loop between the individual and the group. This study could help to identify the circumstances under which particular group compositions may improve individual fitness through underlying aggregation mechanisms under specific environmental conditions. PMID:27009219

  14. A global genetic interaction network maps a wiring diagram of cellular function.

    PubMed

    Costanzo, Michael; VanderSluis, Benjamin; Koch, Elizabeth N; Baryshnikova, Anastasia; Pons, Carles; Tan, Guihong; Wang, Wen; Usaj, Matej; Hanchard, Julia; Lee, Susan D; Pelechano, Vicent; Styles, Erin B; Billmann, Maximilian; van Leeuwen, Jolanda; van Dyk, Nydia; Lin, Zhen-Yuan; Kuzmin, Elena; Nelson, Justin; Piotrowski, Jeff S; Srikumar, Tharan; Bahr, Sondra; Chen, Yiqun; Deshpande, Raamesh; Kurat, Christoph F; Li, Sheena C; Li, Zhijian; Usaj, Mojca Mattiazzi; Okada, Hiroki; Pascoe, Natasha; San Luis, Bryan-Joseph; Sharifpoor, Sara; Shuteriqi, Emira; Simpkins, Scott W; Snider, Jamie; Suresh, Harsha Garadi; Tan, Yizhao; Zhu, Hongwei; Malod-Dognin, Noel; Janjic, Vuk; Przulj, Natasa; Troyanskaya, Olga G; Stagljar, Igor; Xia, Tian; Ohya, Yoshikazu; Gingras, Anne-Claude; Raught, Brian; Boutros, Michael; Steinmetz, Lars M; Moore, Claire L; Rosebrock, Adam P; Caudy, Amy A; Myers, Chad L; Andrews, Brenda; Boone, Charles

    2016-09-23

    We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to protein complexes and pathways, biological processes, and cellular compartments. Negative interactions connected functionally related genes, mapped core bioprocesses, and identified pleiotropic genes, whereas positive interactions often mapped general regulatory connections among gene pairs, rather than shared functionality. The global network illustrates how coherent sets of genetic interactions connect protein complex and pathway modules to map a functional wiring diagram of the cell.

  15. Stress ecology in fucus: abiotic, biotic and genetic interactions.

    PubMed

    Wahl, Martin; Jormalainen, Veijo; Eriksson, Britas Klemens; Coyer, James A; Molis, Markus; Schubert, Hendrik; Dethier, Megan; Karez, Rolf; Kruse, Inken; Lenz, Mark; Pearson, Gareth; Rohde, Sven; Wikström, Sofia A; Olsen, Jeanine L

    2011-01-01

    Stress regimes defined as the synchronous or sequential action of abiotic and biotic stresses determine the performance and distribution of species. The natural patterns of stress to which species are more or less well adapted have recently started to shift and alter under the influence of global change. This was the motivation to review our knowledge on the stress ecology of a benthic key player, the macroalgal genus Fucus. We first provide a comprehensive review of the genus as an ecological model including what is currently known about the major lineages of Fucus species with respect to hybridization, ecotypic differentiation and speciation; as well as life history, population structure and geographic distribution. We then review our current understanding of both extrinsic (abiotic/biotic) and intrinsic (genetic) stress(es) on Fucus species and how they interact with each other. It is concluded that (i) interactive stress effects appear to be equally distributed over additive, antagonistic and synergistic categories at the level of single experiments, but are predominantly additive when averaged over all studies in a meta-analysis of 41 experiments; (ii) juvenile and adult responses to stress frequently differ and (iii) several species or particular populations of Fucus may be relatively unaffected by climate change as a consequence of pre-adapted ecotypes that collectively express wide physiological tolerences. Future research on Fucus should (i) include additional species, (ii) include marginal populations as models for responses to environmental stress; (iii) assess a wider range of stress combinations, including their temporal fluctuations; (iv) better differentiate between stress sensitivity of juvenile versus adult stages; (v) include a functional genomic component in order to better integrate Fucus' ecological and evolutionary responses to stress regimes and (vi) utilize a multivariate modelling approach in order to develop and understand interaction

  16. TVP23 interacts genetically with the yeast SNARE VTI1 and functions in retrograde transport from the early endosome to the late Golgi.

    PubMed

    Stein, Ivar S; Gottfried, Anna; Zimmermann, Jana; Fischer von Mollard, Gabriele

    2009-04-01

    SNARE (soluble N-ethylmaleimide-sensitive fusion protein-attachment protein receptor) proteins contribute to specific recognition between transport vesicles and target membranes and are required for fusion of membranes. The SNARE Vti1p is required for several transport steps between late Golgi, endosomes and the vacuole in the yeast Saccharomyces cerevisiae. Here, we identified the late Golgi membrane protein TVP23 as a multicopy suppressor of the growth defect in vti1-2 cells. By contrast, the growth defect in vti1-11 cells was not suppressed by TVP23 overexpression. Deletion of TVP23 aggravated the growth defect in vti1-2 cells. Genetic interactions between TVP23 and vti1-2 were not found in transport from the late Golgi via the late endosome to the vacuole or in transport from the Golgi directly to the vacuole. These results suggest that Tvp23p is not involved in forward transport from the late Golgi. Therefore retrograde traffic to the late Golgi was analysed. vti1-2 cells accumulated GFP (green fluorescent protein)-Snc1p within the cell, indicating that retrograde transport from the early endosome to the late Golgi was defective in these cells. Deletion of TVP23 in vti1-2 cells resulted in a synthetic defect in GFP-Snc1p recycling, whereas tvp23Delta cells had a slight defect. These results indicate that Tvp23p performs a partially redundant function in retrograde transport from the early endosome to the late Golgi. This transport step was unaffected in vti1-11 cells, providing an explanation for the allele-specific multicopy suppression by TVP23.

  17. Junctional and allele-specific residues are critical for MERS-CoV neutralization by an exceptionally potent germline-like antibody

    DOE PAGES

    Ying, Tianlei; Prabakaran, Ponraj; Du, Lanying; ...

    2015-09-15

    The MERS-CoV is an emerging virus, which already infected more than 1,300 humans with high (~36%) mortality. Here, we show that m336, an exceptionally potent human anti-MERS-CoV antibody, is almost germline with only one somatic mutation in the heavy chain. The structure of Fab m336 in complex with the MERS-CoV receptor-binding domain reveals that its IGHV1-69-derived heavy chain provides more than 85% binding surface and that its epitope almost completely overlaps with the receptor-binding site. Analysis of antibodies from 69 healthy humans suggests an important role of the V(D)J recombination-generated junctional and allele-specific residues for achieving high affinity of bindingmore » at such low levels of somatic hypermutation. Our results also have important implications for development of vaccine immunogens based on the newly identified m336 epitope as well as for elucidation of mechanisms of neutralization by m336-like antibodies and their elicitation in vivo.« less

  18. Junctional and allele-specific residues are critical for MERS-CoV neutralization by an exceptionally potent germline-like antibody

    SciTech Connect

    Ying, Tianlei; Prabakaran, Ponraj; Du, Lanying; Shi, Wei; Feng, Yang; Wang, Yanping; Wang, Lingshu; Li, Wei; Jiang, Shibo; Dimitrov, Dimiter S.; Zhou, Tongqing

    2015-09-15

    The MERS-CoV is an emerging virus, which already infected more than 1,300 humans with high (~36%) mortality. Here, we show that m336, an exceptionally potent human anti-MERS-CoV antibody, is almost germline with only one somatic mutation in the heavy chain. The structure of Fab m336 in complex with the MERS-CoV receptor-binding domain reveals that its IGHV1-69-derived heavy chain provides more than 85% binding surface and that its epitope almost completely overlaps with the receptor-binding site. Analysis of antibodies from 69 healthy humans suggests an important role of the V(D)J recombination-generated junctional and allele-specific residues for achieving high affinity of binding at such low levels of somatic hypermutation. Our results also have important implications for development of vaccine immunogens based on the newly identified m336 epitope as well as for elucidation of mechanisms of neutralization by m336-like antibodies and their elicitation in vivo.

  19. Detection of EGFR mutations by TaqMan mutation detection assays powered by competitive allele-specific TaqMan PCR technology.

    PubMed

    Roma, Cristin; Esposito, Claudia; Rachiglio, Anna Maria; Pasquale, Raffaella; Iannaccone, Alessia; Chicchinelli, Nicoletta; Franco, Renato; Mancini, Rita; Pisconti, Salvatore; De Luca, Antonella; Botti, Gerardo; Morabito, Alessandro; Normanno, Nicola

    2013-01-01

    Epidermal growth factor receptor (EGFR) mutations in non-small-cell lung cancer (NSCLC) are predictive of response to treatment with tyrosine kinase inhibitors. Competitive Allele-Specific TaqMan PCR (castPCR) is a highly sensitive and specific technology. EGFR mutations were assessed by TaqMan Mutation Detection Assays (TMDA) based on castPCR technology in 64 tumor samples: a training set of 30 NSCLC and 6 colorectal carcinoma (CRC) samples and a validation set of 28 NSCLC cases. The sensitivity and specificity of this method were compared with routine diagnostic techniques including direct sequencing and the EGFR Therascreen RGQ kit. Analysis of the training set allowed the identification of the threshold value for data analysis (0.2); the maximum cycle threshold (Ct = 37); and the cut-off ΔCt value (7) for the EGFR TMDA. By using these parameters, castPCR technology identified both training and validation set EGFR mutations with similar frequency as compared with the Therascreen kit. Sequencing detected rare mutations that are not identified by either castPCR or Therascreen, but in samples with low tumor cell content it failed to detect common mutations that were revealed by real-time PCR based methods. In conclusion, our data suggest that castPCR is highly sensitive and specific to detect EGFR mutations in NSCLC clinical samples.

  20. Use of an interspecific hybrid in identifying a new allelic specificity generated at the self-incompatibility locus after inbreeding in Lycopersicon peruvianum.

    PubMed

    Maheswaran, G; Perryman, T; Williams, E G

    1986-12-01

    An interspecific hybrid between Lycopersicon esculentum (♀) and L. peruvianum has been raised by embryo rescue in vitro and used to confirm the presence of a new S-allelic specificity in its inbred L. peruvianum parent, a plant derived by enforced bud self-pollination of a self-incompatible clone with the genotype S 1 S 2. The inbred plant showed breeding behavior characteristic of both S 2 and a second specificity which was not S 1, S 2, S 3 or S f. Two-dimensional gel electrophoresis of stylar proteins, however, showed only a single typical S-associated component with the Mr and pI characteristic of S2. The alteration in specificity, therefore, was not associated with a detectable change in an S-associated protein. The F1 interspecific hybrid showed intermediacy of vegetative and reproductive characters, relatively high fertility and full self-incompatibility. Backcrossing to L. esculentum produced only abortive seeds requiring embryo culture. Backcrosses to L. peruvianum produced a very low proportion of filled germinable seeds. Pollen of the hybrid showed superior viability and tube growth rate compared with pollen of the two parent plants.

  1. Allele-specific transcriptional activity of the variable number of tandem repeats in 5' region of the DRD4 gene is stimulus specific in human neuronal cells.

    PubMed

    Paredes, U M; Quinn, J P; D'Souza, U M

    2013-03-01

    The dopamine receptor D4 (DRD4) gene includes several variable number of tandem repeat loci that have been suggested to modulate DRD4 gene expression patterns. Previous studies showed differential basal activity of the two most common variants of a tandem repeat (120 bp per repeat unit) located in the 5' region adjacent to the DRD4 promoter in human cell lines. In this communication, we further characterized the ability of this polymorphic repeat to elicit tissue-, allele- and stimuli-specific transcriptional activity in vitro. The short and long variants of the DRD4 5' tandem repeat were cloned into a luciferase reporter gene construct containing the SV40 promoter. The luciferase constructs were cotransfected with expression vectors of two ubiquitously expressed human transcription factors (TFs), CCCTC-binding factor (CTCF) and upstream stimulatory factor 2 (USF2), into human cell lines and primary cultures of neonate rat cortex and luciferase activity measured. Overexpression with these TFs resulted in differential cell- and allele-specific transcriptional activities of the luciferase constructs. The results of our experiments show that variants of this tandem repeat in the 5' promoter of the DRD4 gene will direct differential reporter gene transcriptional activity in a cell-type-specific manner dependent on the signal pathways activated.

  2. A and MdMYB1 allele-specific markers controlling apple (Malus x domestica Borkh.) skin color and suitability for marker-assisted selection.

    PubMed

    Zhang, X J; Wang, L X; Chen, X X; Liu, Y L; Meng, R; Wang, Y J; Zhao, Z Y

    2014-10-31

    Pre-selection for fruit skin color at the seedling stage would be highly advantageous, with marker-assisted selection offering a potential method for apple pre-selection. A and MdMYB1 alleles are allele-specific DNA markers that are potentially associated with apple skin color, and co-segregate with the Rf and Rni loci, respectively. Here, we assessed the potential application of these 2 alleles for marker-assisted breeding across 30 diverse cultivars and 2 apple seedling progenies. The red skin color phenotype was usually associated with the MdMYB1-1 allele and A(1) allele, respectively, while the 2 molecular markers provided approximately 91% predictability in the 'Fuji' x 'Cripps Pink' and 'Fuji' x 'Gala' progenies. The results obtained from the 30 cultivars and 2 progenies were consistent for the 2 molecular markers. Hence, the results supported that Rf and Rni could be located in a gene cluster, or even correspond to alleles of the same gene. Our results are consistent with the hypothesis that red/yellow dimorphism is controlled by a monogenic system, with the presence of the red anthocyanin pigmentation being dominant. In addition, our results supported that the practical utilization of the 2 function markers to efficiently and accurately select red-skinned apple cultivars in apple scion breeding programs.

  3. Single nucleotide polymorphism genotyping by mini-primer allele-specific amplification with universal reporter primers for identification of degraded DNA.

    PubMed

    Asari, Masaru; Watanabe, Satoshi; Matsubara, Kazuo; Shiono, Hiroshi; Shimizu, Keiko

    2009-03-01

    Single nucleotide polymorphism (SNP) is informative for human identification, and much shorter regions are targeted in analysis of biallelic SNP compared with highly polymorphic short tandem repeat (STR). Therefore, SNP genotyping is expected to be more sensitive than STR genotyping of degraded human DNA. To achieve simple, economical, and sensitive SNP genotyping for identification of degraded human DNA, we developed 18 loci for a SNP genotyping technique based on the mini-primer allele-specific amplification (ASA) combined with universal reporter primers (URP). The URP/ASA-based genotyping consisted of two amplifications followed by detection using capillary electrophoresis. The sizes of the target genome fragments ranged from 40 to 67bp in length. In the Japanese population, the frequencies of minor alleles of 18 SNPs ranged from 0.36 to 0.50, and these SNPs are informative for identification. The success rate of SNP genotyping was much higher than that of STR genotyping of artificially degraded DNA. Moreover, we applied this genotyping method to case samples and showed successful SNP genotyping of severely degraded DNA from a 4-year buffered formalin-fixed tissue sample for human identification.

  4. MHC allele-specific binding of a malaria peptide makes it become promiscuous on fitting a glycine residue into pocket 6.

    PubMed

    Vargas, Luis Eduardo; Parra, Carlos Alberto; Salazar, Luz Mary; Guzmán, Fanny; Pinto, Martha; Patarroyo, Manuel E

    2003-07-18

    Peptide 1585 (EVLYLKPLAGVYRSLKKQLE) has a highly conserved amino-acid sequence located in the Plasmodium falciparum main merozoite surface protein (MSP-1) C-terminal region, required for merozoite entry into human erythrocytes and therefore represents a vaccine candidate for P. falciparum malaria. Original sequence-specific binding to five HLA DRB1* alleles (0101, 0102, 0401, 0701, and 1101) revealed this peptide's specific HLA DRB1*0102 allele binding. This peptide's allele-specific binding to HLA DRB1*0102 took on broader specificity for the DRB1*0101, -0401, and -1101 alleles when lysine was replaced by glycine in position 17 (peptide 5198: EVLYLKPLAGVYRSLKG(17)QLE). Binding of the identified G(10)VYRSLKGQLE(20) C-terminal register to these alleles suggests that peptide promiscuous binding relied on fitting Y(12), L(15), and G(17) into P-1, P-4, and P-6, respectively. The implications of the findings and the future of this synthetic vaccine candidate are discussed.

  5. Competitive allele-specific TaqMan PCR (Cast-PCR) is a sensitive, specific and fast method for BRAF V600 mutation detection in Melanoma patients

    PubMed Central

    Barbano, Raffaela; Pasculli, Barbara; Coco, Michelina; Fontana, Andrea; Copetti, Massimiliano; Rendina, Michelina; Valori, Vanna Maria; Graziano, Paolo; Maiello, Evaristo; Fazio, Vito Michele; Parrella, Paola

    2015-01-01

    BRAF codon 600 mutation testing of melanoma patients is mandatory for the choice of the most appropriate therapy in the clinical setting. Competitive allele specific TaqMan PCR (Cast-PCR) technology allows not only the selective amplification of minor alleles, but it also blocks the amplification of non-mutant allele. We genotyped codon 600 of the BRAF gene in 54 patients’ samples by Cast-PCR and bidirectional direct sequence analysis. All the mutations detected by sequencing were also identified by Cast-PCR. In addition, Cast-PCR assay detected four samples carrying mutations and was able to clearly identify two mutations of uncertain interpretation by Sanger sequencing. The limit of detection of Cast-PCR was evaluated by constructing dilution curves of BRAFV600E and BRAFV600K mutated clinical samples mixed with a not-mutated specimens. Both mutations could be detected until a 1:100 mutated/not mutated ratio. Cloning and sequencing of the clones was used to confirm mutations on representative discrepant cases. Cast PCR performances were not affected by intratumour heterogeneity, and less affected by melanin content. Our results indicate that Cast-PCR is a reliable diagnostic tool for the identification of melanoma patients as eligible to be treated with TKIs and might be implemented in the clinical setting as elective screening method. PMID:26690267

  6. Allele-specific expression at the RET locus in blood and gut tissue of individuals carrying risk alleles for Hirschsprung disease.

    PubMed

    Matera, Ivana; Musso, Marco; Griseri, Paola; Rusmini, Marta; Di Duca, Marco; So, Man-Ting; Mavilio, Domenico; Miao, Xiaoping; Tam, Paul Hk; Ravazzolo, Roberto; Ceccherini, Isabella; Garcia-Barcelo, Merce

    2013-05-01

    RET common variants are associated with Hirschsprung disease (HSCR; colon aganglionosis), a congenital defect of the enteric nervous system. We analyzed a well-known HSCR-associated RET haplotype that encompasses linked alleles in coding and noncoding/regulatory sequences. This risk haplotype correlates with reduced level of RET expression when compared with the wild-type counterpart. As allele-specific expression (ASE) contributes to phenotypic variability in health and disease, we investigated whether RET ASE could contribute to the overall reduction of RET mRNA detected in carriers. We tested heterozygous neuroblastoma cell lines, ganglionic gut tissues (18 HSCR and 14 non-HSCR individuals) and peripheral blood mononuclear cells (PBMCs; 16 HSCR and 14 non-HSCR individuals). Analysis of the data generated by SNaPshot and Pyrosequencing revealed that the RET risk haplotype is significantly more expressed in gut than in PBMCs (P = 0.0045). No ASE difference was detected between patients and controls, irrespective of the sample type. Comparison of total RET expression levels between gut samples with and without ASE, correlated reduced RET expression with preferential transcription from the RET risk haplotype. Nonrandom RET ASE occurs in ganglionic gut regardless of the disease status. RET ASE should not be excluded as a disease mechanism acting during development.

  7. Inactive allele-specific methylation and chromatin structure of the imprinted gene U2af1-rs1 on mouse chromosome 11

    SciTech Connect

    Shibata, Hideo; Yoshino, Kiyoshi; Kamiya, Mamoru

    1996-07-01

    The imprinted U2Af1-rs1 gene that maps to mouse chromosome 11 is predominately expressed from the paternal allele. We examined the methylation of genomic sequences in and around the U2af1-rs1 locus to establish the extent of sequence modifications that accompanied the silencing of the maternal allele. The analysis of HapII or HhaI sites showed that the silent maternal allele was hypermethylated in a block of CpG sequences that covered more than 10 kb. By comparison, the expressed paternal allele was unmethylated from a CpG island upstream of the transcribed region through 2 kb. An analysis of DNaseI hypersensitivity of a putative promoter of U2af1-rs1 showed an open chromatin conformation only on the unmethylated, expressed paternal allele. These results suggest that allele-specific hypermethylation covering the gene and its upstream CpG island plays a role in maternal allele repression of U2af1-rs1, which is reflected in altered chromatin conformation of DNaseI hypersensitive sites. 9 refs., 2 figs.

  8. Allele-specific gene expression patterns in primary leukemic cells reveal regulation of gene expression by CpG site methylation

    PubMed Central

    Milani, Lili; Lundmark, Anders; Nordlund, Jessica; Kiialainen, Anna; Flaegstad, Trond; Jonmundsson, Gudmundur; Kanerva, Jukka; Schmiegelow, Kjeld; Gunderson, Kevin L.; Lönnerholm, Gudmar; Syvänen, Ann-Christine

    2009-01-01

    To identify genes that are regulated by cis-acting functional elements in acute lymphoblastic leukemia (ALL) we determined the allele-specific expression (ASE) levels of 2529 genes by genotyping a genome-wide panel of single nucleotide polymorphisms in RNA and DNA from bone marrow and blood samples of 197 children with ALL. Using a reproducible, quantitative genotyping method and stringent criteria for scoring ASE, we found that 16% of the analyzed genes display ASE in multiple ALL cell samples. For most of the genes, the level of ASE varied largely between the samples, from 1.4-fold overexpression of one allele to apparent monoallelic expression. For genes exhibiting ASE, 55% displayed bidirectional ASE in which overexpression of either of the two SNP alleles occurred. For bidirectional ASE we also observed overall higher levels of ASE and correlation with the methylation level of these sites. Our results demonstrate that CpG site methylation is one of the factors that regulates gene expression in ALL cells. PMID:18997001

  9. Natural variation in male-induced ‘cost-of-mating’ and allele-specific association with male reproductive genes in Drosophila melanogaster

    PubMed Central

    Fiumera, Anthony C; Dumont, Bethany L; Clark, Andrew G

    2006-01-01

    One of the most sharply defined sexual conflicts arises when the act of mating is accompanied by an inflated risk of death. Several reports have documented an increased death rate of female Drosophila as a result of recurrent mating. Transgenic and mutation experiments have further identified components of seminal fluid that are at least in part responsible for this toxicity. Variation among males in their tendency for matings to be toxic to their partners has also been documented, but here for the first time we identify polymorphism within particular genes conferring differential post-mating female mortality. Such polymorphism is important, as it raises the challenge of whether sexual conflict models can provide means for maintenance of polymorphism. Using a set of second chromosome extraction lines, we scored differences in post-mating female fecundity and longevity subsequent to mating, and identified significant among-line differences. Seventy polymorphisms in ten male reproductive genes were scored and permutation tests were used to identify significant associations between genotype and phenotype. One polymorphism upstream of PEBII and an amino acid substitution in CG17331 were both associated with male-induced female mortality. The same allele of CG17331 that is toxic to females also induces greater refractoriness to remating in the females, providing an example of an allele-specific sexual conflict. Postcopulatory sexual selection could lead to sexual conflict by favouring males that prevent their mates from mating, even when there is a viability cost to those females. PMID:16612893

  10. Unifying Genetic Canalization, Genetic Constraint, and Genotype-by-Environment Interaction: QTL by Genomic Background by Environment Interaction of Flowering Time in Boechera stricta

    PubMed Central

    Lee, Cheng-Ruei; Anderson, Jill T.; Mitchell-Olds, Thomas

    2014-01-01

    Natural populations exhibit substantial variation in quantitative traits. A quantitative trait is typically defined by its mean and variance, and to date most genetic mapping studies focus on loci altering trait means but not (co)variances. For single traits, the control of trait variance across genetic backgrounds is referred to as genetic canalization. With multiple traits, the genetic covariance among different traits in the same environment indicates the magnitude of potential genetic constraint, while genotype-by-environment interaction (GxE) concerns the same trait across different environments. While some have suggested that these three attributes of quantitative traits are different views of similar concepts, it is not yet clear, however, whether they have the same underlying genetic mechanism. Here, we detect quantitative trait loci (QTL) influencing the (co)variance of phenological traits in six distinct environments in Boechera stricta, a close relative of Arabidopsis. We identified nFT as the QTL altering the magnitude of phenological trait canalization, genetic constraint, and GxE. Both the magnitude and direction of nFT's canalization effects depend on the environment, and to our knowledge, this reversibility of canalization across environments has not been reported previously. nFT's effects on trait covariance structure (genetic constraint and GxE) likely result from the variable and reversible canalization effects across different traits and environments, which can be explained by the interaction among nFT, genomic backgrounds, and environmental stimuli. This view is supported by experiments demonstrating significant nFT by genomic background epistatic interactions affecting phenological traits and expression of the candidate gene, FT. In contrast to the well-known canalization gene Hsp90, the case of nFT may exemplify an alternative mechanism: Our results suggest that (at least in traits with major signal integrators such as flowering time) genetic

  11. Phenotypic and evolutionary consequences of social behaviours: interactions among individuals affect direct genetic effects.

    PubMed

    Trubenová, Barbora; Hager, Reinmar

    2012-01-01

    Traditional quantitative genetics assumes that an individual's phenotype is determined by both genetic and environmental factors. For many animals, part of the environment is social and provided by parents and other interacting partners. When expression of genes in social partners affects trait expression in a focal individual, indirect genetic effects occur. In this study, we explore the effects of indirect genetic effects on the magnitude and range of phenotypic values in a focal individual in a multi-member model analyzing three possible classes of interactions between individuals. We show that social interactions may not only cause indirect genetic effects but can also modify direct genetic effects. Furthermore, we demonstrate that both direct and indirect genetic effects substantially alter the range of phenotypic values, particularly when a focal trait can influence its own expression via interactions with traits in other individuals. We derive a function predicting the relative importance of direct versus indirect genetic effects. Our model reveals that both direct and indirect genetic effects can depend to a large extent on both group size and interaction strength, altering group mean phenotype and variance. This may lead to scenarios where between group variation is much higher than within group variation despite similar underlying genetic properties, potentially affecting the level of selection. Our analysis highlights key properties of indirect genetic effects with important consequences for trait evolution, the level of selection and potentially speciation.

  12. Genetic line by environment interaction on rainbow trout growth and processing traits

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic line-by-environment (GxE) interactions were determined for growth and processing traits of five genetic lines of rainbow trout reared in four environments. Genetic lines included 1) mixed pool of 109 families selectively bred for improved growth (Growth Line) at the USDA National Center fo...

  13. Cutting Edge: Allele-specific and peptide-dependent interactions between KIR3DL1 and HLA-A and HLA-B.

    PubMed

    Thananchai, Hathairat; Gillespie, Geraldine; Martin, Maureen P; Bashirova, Arman; Yawata, Nobuyo; Yawata, Makoto; Easterbrook, Philippa; McVicar, Daniel W; Maenaka, Katsumi; Parham, Peter; Carrington, Mary; Dong, Tao; Rowland-Jones, Sarah

    2007-01-01

    Although it is clear that KIR3DL1 recognizes Bw4(+) HLA-B, the role of Bw4(+) HLA-A allotypes as KIR3DL1 ligands is controversial. We therefore examined the binding of tetrameric HLA-A and -B complexes, including HLA*2402, a common Bw4(+) HLA-A allotype, to KIR3DL1*001, *005, *007, and *1502 allotypes. Only Bw4(+) tetramers bound KIR3DL1. Three of four HLA-A*2402 tetramers bound one or more KIR3DL1 allotypes and all four KIR3DL1 allotypes bound to one or more HLA-A*2402 tetramers, but with different binding specificities. Only KIR3DL1*005 bound both HLA-A*2402 and HLA-B*5703 tetramers. HLA-A*2402-expressing target cells were resistant to lysis by NK cells expressing KIR3DL1*001 or *005. This study shows that HLA-A*2402 is a ligand for KIR3DL1 and demonstrates how the binding of KIR3DL1 to Bw4(+) ligands depends upon the bound peptide as well as HLA and KIR3DL1 polymorphism.

  14. Higher-order genetic interactions and their contribution to complex traits

    PubMed Central

    Taylor, Matthew B.; Ehrenreich, Ian M.

    2014-01-01

    The contribution of genetic interactions involving three or more loci to complex traits is poorly understood. Because these higher-order genetic interactions (HGIs) are difficult to detect in genetic mapping studies, very few examples of them have been described. However, the lack of data on HGIs should not be misconstrued as proof that this class of genetic effect is unimportant. To the contrary, evidence from model organisms suggests that HGIs frequently influence genetic studies and contribute to many complex traits. Here, we review the growing literature on HGIs and discuss the future of research on this topic. PMID:25284288

  15. Wise Regulates Bone Deposition through Genetic Interactions with Lrp5

    PubMed Central

    Ellies, Debra L.; Economou, Androulla; Viviano, Beth; Rey, Jean-Philippe; Paine-Saunders, Stephenie; Krumlauf, Robb; Saunders, Scott

    2014-01-01

    In this study using genetic approaches in mouse we demonstrate that the secreted protein Wise plays essential roles in regulating early bone formation through its ability to modulate Wnt signaling via interactions with the Lrp5 co-receptor. In Wise−/− mutant mice we find an increase in the rate of osteoblast proliferation and a transient increase in bone mineral density. This change in proliferation is dependent upon Lrp5, as Wise;Lrp5 double mutants have normal bone mass. This suggests that Wise serves as a negative modulator of Wnt signaling in active osteoblasts. Wise and the closely related protein Sclerostin (Sost) are expressed in osteoblast cells during temporally distinct early and late phases in a manner consistent with the temporal onset of their respective increased bone density phenotypes. These data suggest that Wise and Sost may have common roles in regulating bone development through their ability to control the balance of Wnt signaling. We find that Wise is also required to potentiate proliferation in chondrocytes, serving as a potential positive modulator of Wnt activity. Our analyses demonstrate that Wise plays a key role in processes that control the number of osteoblasts and chondrocytes during bone homeostasis and provide important insight into mechanisms regulating the Wnt pathway during skeletal development. PMID:24789067

  16. Automated identification of pathways from quantitative genetic interaction data

    PubMed Central

    Battle, Alexis; Jonikas, Martin C; Walter, Peter; Weissman, Jonathan S; Koller, Daphne

    2010-01-01

    High-throughput quantitative genetic interaction (GI) measurements provide detailed information regarding the structure of the underlying biological pathways by reporting on functional dependencies between genes. However, the analytical tools for fully exploiting such information lag behind the ability to collect these data. We present a novel Bayesian learning method that uses quantitative phenotypes of double knockout organisms to automatically reconstruct detailed pathway structures. We applied our method to a recent data set that measures GIs for endoplasmic reticulum (ER) genes, using the unfolded protein response as a quantitative phenotype. The results provided reconstructions of known functional pathways including N-linked glycosylation and ER-associated protein degradation. It also contained novel relationships, such as the placement of SGT2 in the tail-anchored biogenesis pathway, a finding that we experimentally validated. Our approach should be readily applicable to the next generation of quantitative GI data sets, as assays become available for additional phenotypes and eventually higher-level organisms. PMID:20531408

  17. Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.

    PubMed

    Baryshnikova, Anastasia; Costanzo, Michael; Kim, Yungil; Ding, Huiming; Koh, Judice; Toufighi, Kiana; Youn, Ji-Young; Ou, Jiongwen; San Luis, Bryan-Joseph; Bandyopadhyay, Sunayan; Hibbs, Matthew; Hess, David; Gingras, Anne-Claude; Bader, Gary D; Troyanskaya, Olga G; Brown, Grant W; Andrews, Brenda; Boone, Charles; Myers, Chad L

    2010-12-01

    Global quantitative analysis of genetic interactions is a powerful approach for deciphering the roles of genes and mapping functional relationships among pathways. Using colony size as a proxy for fitness, we developed a method for measuring fitness-based genetic interactions from high-density arrays of yeast double mutants generated by synthetic genetic array (SGA) analysis. We identified several experimental sources of systematic variation and developed normalization strategies to obtain accurate single- and double-mutant fitness measurements, which rival the accuracy of other high-resolution studies. We applied the SGA score to examine the relationship between physical and genetic interaction networks, and we found that positive genetic interactions connect across functionally distinct protein complexes revealing a network of genetic suppression among loss-of-function alleles.

  18. Interaction between common breast cancer susceptibility variants, genetic ancestry, and non-genetic risk factors in Hispanic women

    PubMed Central

    Fejerman, Laura; Stern, Mariana C.; John, Esther M.; Torres-Mejía, Gabriela; Hines, Lisa M.; Wolff, Roger K.; Baumgartner, Kathy B.; Giuliano, Anna R.; Ziv, Elad; Pérez-Stable, Eliseo J.; Slattery, Martha L.

    2015-01-01

    Background Most genetic variants associated with breast cancer risk have been discovered in women of European ancestry, and only a few genome-wide association studies (GWAS) have been conducted in minority groups. This research disparity persists in post-GWAS gene-environment interaction analyses. We tested the interaction between hormonal and lifestyle risk factors for breast cancer, and ten GWAS-identified single nucleotide polymorphisms (SNPs) among 2,107 Hispanic women with breast cancer and 2,587 unaffected controls, to gain insight into a previously reported gene by ancestry interaction in this population. Methods We estimated genetic ancestry with a set of 104 ancestry-informative markers selected to discriminate between Indigenous American and European ancestry. We used logistic regression models to evaluate main effects and interactions. Results We found that the rs13387042-2q35(G/A) SNP was associated with breast cancer risk only among postmenopausal women who never used hormone therapy [per A allele odds ratio (OR): 0.94 (95% confidence interval 0.74–1.20), 1.20 (0.94–1.53) and 1.49 (1.28–1.75) for current, former and never hormone therapy users, respectively, P-interaction 0.002] and premenopausal women who breastfed >12 months [OR: 1.01 (0.72–1.42), 1.19 (0.98–1.45) and 1.69 (1.26–2.26) for never, <12 months, and >12 months breastfeeding, respectively, P-interaction 0.014]. Conclusions The correlation between genetic ancestry, hormone replacement therapy use, and breastfeeding behavior partially explained a previously reported interaction between a breast cancer risk variant and genetic ancestry in Hispanic women. Impact These results highlight the importance of understanding the interplay between genetic ancestry, genetics, and non-genetic risk factors and their contribution to breast cancer risk. PMID:26364163

  19. Genetic Risk by Experience Interaction for Childhood Internalizing Problems: Converging Evidence across Multiple Methods

    ERIC Educational Resources Information Center

    Vendlinski, Matthew K.; Lemery-Chalfant, Kathryn; Essex, Marilyn J.; Goldsmith, H. Hill

    2011-01-01

    Background: Identifying how genetic risk interacts with experience to predict psychopathology is an important step toward understanding the etiology of mental health problems. Few studies have examined genetic risk by experience interaction (GxE) in the development of childhood psychopathology. Methods: We used both co-twin and parent mental…

  20. iSeq: A New Double-Barcode Method for Detecting Dynamic Genetic Interactions in Yeast

    PubMed Central

    Jaffe, Mia; Sherlock, Gavin; Levy, Sasha F.

    2016-01-01

    Systematic screens for genetic interactions are a cornerstone of both network and systems biology. However, most screens have been limited to characterizing interaction networks in a single environment. Moving beyond this static view of the cell requires a major technological advance to increase the throughput and ease of replication in these assays. Here, we introduce iSeq—a platform to build large double barcode libraries and rapidly assay genetic interactions across environments. We use iSeq in yeast to measure fitness in three conditions of nearly 400 clonal strains, representing 45 possible single or double gene deletions, including multiple replicate strains per genotype. We show that iSeq fitness and interaction scores are highly reproducible for the same clonal strain across replicate cultures. However, consistent with previous work, we find that replicates with the same putative genotype have highly variable genetic interaction scores. By whole-genome sequencing 102 of our strains, we find that segregating variation and de novo mutations, including aneuploidy, occur frequently during strain construction, and can have large effects on genetic interaction scores. Additionally, we uncover several new environment-dependent genetic interactions, suggesting that barcode-based genetic interaction assays have the potential to significantly expand our knowledge of genetic interaction networks. PMID:27821633

  1. SAAS-CNV: A Joint Segmentation Approach on Aggregated and Allele Specific Signals for the Identification of Somatic Copy Number Alterations with Next-Generation Sequencing Data

    PubMed Central

    Zhang, Zhongyang; Hao, Ke

    2015-01-01

    Cancer genomes exhibit profound somatic copy number alterations (SCNAs). Studying tumor SCNAs using massively parallel sequencing provides unprecedented resolution and meanwhile gives rise to new challenges in data analysis, complicated by tumor aneuploidy and heterogeneity as well as normal cell contamination. While the majority of read depth based methods utilize total sequencing depth alone for SCNA inference, the allele specific signals are undervalued. We proposed a joint segmentation and inference approach using both signals to meet some of the challenges. Our method consists of four major steps: 1) extracting read depth supporting reference and alternative alleles at each SNP/Indel locus and comparing the total read depth and alternative allele proportion between tumor and matched normal sample; 2) performing joint segmentation on the two signal dimensions; 3) correcting the copy number baseline from which the SCNA state is determined; 4) calling SCNA state for each segment based on both signal dimensions. The method is applicable to whole exome/genome sequencing (WES/WGS) as well as SNP array data in a tumor-control study. We applied the method to a dataset containing no SCNAs to test the specificity, created by pairing sequencing replicates of a single HapMap sample as normal/tumor pairs, as well as a large-scale WGS dataset consisting of 88 liver tumors along with adjacent normal tissues. Compared with representative methods, our method demonstrated improved accuracy, scalability to large cancer studies, capability in handling both sequencing and SNP array data, and the potential to improve the estimation of tumor ploidy and purity. PMID:26583378

  2. Allelic diversity of a beer haze active protein gene in cultivated and Tibetan wild barley and development of allelic specific markers.

    PubMed

    Ye, Lingzhen; Dai, Fei; Qiu, Long; Sun, Dongfa; Zhang, Guoping

    2011-07-13

    The formation of haze is a serious quality problem in beer production. It has been shown that the use of silica elute (SE)-ve malt (absence of molecular weight (MW) ∼14000 Da) for brewing can improve haze stability in the resultant beer, and the protein was identified as a barley trypsin inhibitor of the chloroform/methanol type (BTI-CMe). The objectives of this study were to determine (1) the allelic diversity of the gene controlling BTI-CMe in cultivated and Tibetan wild barley and (2) allele-specific (AS) markers for screening SE protein type. A survey of 172 Tibetan annual wild barley accessions and 71 cultivated barley genotypes was conducted, and 104 wild accessions and 35 cultivated genotypes were identified as SE+ve and 68 wild accessions and 36 cultivated genotypes as SE-ve. The allelic diversity of the gene controlling BTI-CMe was investigated by cloning, alignment, and association analysis. It was found that there were significant differences between the SE+ve and SE-ve types in single-nucleotide polymorphisms at 234 (SNP(234)), SNP(313), and SNP(385.) Furthermore, two sets of AS markers were developed to screen SE protein type based on SNP(313). AS-PCR had results very similar to those obtained by immunoblot method. Mapping analysis showed that the gene controlling the MW∼14 kDa band was located on the short arm of chromosome 3H, at the position of marker BPB-0527 (33.302 cM) in the Franklin/Yerong DH population.

  3. Allele specific-PCR and melting curve analysis showed relatively high frequency of β-casein gene A1 allele in Iranian Holstein, Simmental and native cows.

    PubMed

    Gholami, M; Hafezian, S H; Rahimi, G; Farhadi, A; Rahimi, Z; Kahrizi, D; Kiani, S; Karim, H; Vaziri, S; Muhammadi, S; Veisi, F; Ghadiri, K; Shetabi, H; Zargooshi, J

    2016-10-31

    There are two allelic forms of A1 and A2 of β-casein gene in dairy cattle. Proteolytic digestion of bovine β-casein A1 type produces bioactive peptide of β-casomorphin-7 known as milk devil. β-casomorphin-7 causes many diseases, including type 1 diabetes, cardiovascular disease syndrome, sudden death and madness. The aim of the present study was to determine the different allelic forms of β-casein gene in Iranian Holstein, Simmental and native cattle in order to identify A1 and A2 variants. The blood samples were collected randomly and DNA was extracted using modified salting out method. An 854 bp fragment including part of exon 7 and part of intron 6 of β-casein gene was amplified by allele specific polymerase chain reaction (AS-PCR). Also, the accuracy of AS-PCR genotyping has been confirmed by melting temperature curve analysis using Real-time PCR machinery. The comparison of observed allele and genotype frequency among the studied breeds was performed using the Fisher exact and Chi-squared test, respectively by SAS program. Obtained results showed the A1 allele frequencies of 50, 51.57, 54.5, 49.4 and 46.6% in Holstein, Simmental, Sistani, Taleshi and Mazandarani cattle populations, respectively. The chi-square test was shown that no any populations were in Hardy-Weinberg equilibrium for studied marker locus. Comparison and analysis of the test results for allelic frequency showed no any significant differences between breeds (P>0.05). The frequency of observed genotypes only differs significantly between Holstein and Taleshi breeds but no any statistically significant differences were found for other breeds (P>0.05). A relatively high frequency of β-casein A1 allele was observed in Iranian native cattle. Therefore, determine the genotypes and preference alleles A2 in these native and commercial cattle is recommended.

  4. KRAS mutant allele-specific imbalance is associated with worse prognosis in pancreatic cancer and progression to undifferentiated carcinoma of the pancreas.

    PubMed

    Krasinskas, Alyssa M; Moser, A James; Saka, Burcu; Adsay, N Volkan; Chiosea, Simion I

    2013-10-01

    KRAS codon 12 mutations are present in about 90% of ductal adenocarcinomas and in undifferentiated carcinomas of the pancreas. The role of KRAS copy number changes and resulting KRAS mutant allele-specific imbalance (MASI) in ductal adenocarcinoma (n=94), and its progression into undifferentiated carcinoma of the pancreas (n=25) was studied by direct sequencing and KRAS fluorescence in situ hybridization (FISH). Semi-quantitative evaluation of sequencing electropherograms showed KRAS MASI (ie, mutant allele peak higher than or equal to the wild-type allele peak) in 22 (18.4%) cases. KRAS FISH (performed on 45 cases) revealed a trend for more frequent KRAS amplification among cases with KRAS MASI (7/20, 35% vs 3/25, 12%, P=0.08). KRAS amplification by FISH was seen only in undifferentiated carcinomas (10/24, 42% vs 0/21 pancreatic ductal adenocarcinoma, 0%, P=0.0007). In 6 of 11 cases with both undifferentiated and well-differentiated components, transition to undifferentiated carcinoma was associated with an increase in KRAS copy number, due to amplification and/or chromosome 12 hyperploidy. Pancreatic carcinomas with KRAS MASI (compared to those without MASI) were predominantly undifferentiated (16/22, 73% vs 9/97, 9%, P<0.001), more likely to present at clinical stage IV (5/22, 23% vs 7/97, 7%, P=0.009), and were associated with shorter overall survival (9 months, 95% confidence interval, 5-13, vs 22 months, 95% confidence interval, 17-27; P=0.015) and shorter disease-free survival (5 months, 95% confidence interval, 2-8 vs 13 months, 95% confidence interval, 10-16; P=0.02). Our findings suggest that in a subset of ductal adenocarcinomas, KRAS MASI correlates with the progression to undifferentiated carcinoma of the pancreas.

  5. Use of the BioGRID Database for Analysis of Yeast Protein and Genetic Interactions.

    PubMed

    Oughtred, Rose; Chatr-aryamontri, Andrew; Breitkreutz, Bobby-Joe; Chang, Christie S; Rust, Jennifer M; Theesfeld, Chandra L; Heinicke, Sven; Breitkreutz, Ashton; Chen, Daici; Hirschman, Jodi; Kolas, Nadine; Livstone, Michael S; Nixon, Julie; O'Donnell, Lara; Ramage, Lindsay; Winter, Andrew; Reguly, Teresa; Sellam, Adnane; Stark, Chris; Boucher, Lorrie; Dolinski, Kara; Tyers, Mike

    2016-01-04

    The BioGRID database is an extensive repository of curated genetic and protein interactions for the budding yeast Saccharomyces cerevisiae, the fission yeast Schizosaccharomyces pombe, and the yeast Candida albicans SC5314, as well as for several other model organisms and humans. This protocol describes how to use the BioGRID website to query genetic or protein interactions for any gene of interest, how to visualize the associated interactions using an embedded interactive network viewer, and how to download data files for either selected interactions or the entire BioGRID interaction data set.

  6. Genetic interactions among homologous recombination mutants in Candida albicans.

    PubMed

    Bellido, Alberto; Andaluz, Encarnación; Gómez-Raja, Jonathan; Álvarez-Barrientos, Alberto; Larriba, Germán

    2015-01-01

    rad52-ΔΔ and, to a lesser extent, rad51-ΔΔ deletants of Candidaalbicans displayed slow growth and aberrant filamentous morphology whereas rad59-ΔΔ mutants, both by growth rate and morphology resembled wild type. In this study, we have constructed pair-wise double deletants to analyze genetic interactions among these homologous recombination (HR) proteins that affect growth and morphology traits. When grown in liquid YPD medium, double mutant rad51-ΔΔ rad59-ΔΔ exhibited growth rates, cell and colony morphologies, and plating efficiencies that were not significantly different from those observed for rad51-ΔΔ. The same was true for rad52-ΔΔ rad59-ΔΔ compared to rad52-ΔΔ. Slow growth and decreased plating efficiency were caused, at least in part, by a decreased viability, as deduced from FUN1 staining. Flow cytometry and microscopic studies of filamentous mutant populations revealed major changes in cell ploidy, size and morphology, whereas DAPI staining identified complex nuclear rearrangements in yeast and filamentous cells. These phenotypes were not observed in the rad59-ΔΔ mutant populations. Our results show that abolishing Rad51 functions induces the appearance of a subpopulation of aberrant yeast and filamentous forms with increased cell size and ploidy. The size of this complex subpopulation was exacerbated in rad52-ΔΔ mutants. The combination of filamentous cell morphology and viability phenotypes was reflected on the colony morphology of the respective mutants. We conclude that the rad52 mutation is epistatic to rad51 for all the morphological traits analyzed. We discuss these results in the light of the several functions of these recombination genes.

  7. Interaction between Mismatch Repair and Genetic Recombination in Saccharomyces Cerevisiae

    PubMed Central

    Alani, E.; Reenan, RAG.; Kolodner, R. D.

    1994-01-01

    The yeast Saccharomyces cerevisiae encodes a set of genes that show strong amino acid sequence similarity to MutS and MutL, proteins required for mismatch repair in Escherichia coli. We examined the role of MSH2 and PMS1, yeast homologs of mutS and mutL, respectively, in the repair of base pair mismatches formed during meiotic recombination. By using specifically marked HIS4 and ARG4 alleles, we showed that msh2 mutants displayed a severe defect in the repair of all base pair mismatches as well as 1-, 2- and 4-bp insertion/deletion mispairs. The msh2 and pms1 phenotypes were indistinguishable, suggesting that the wild-type gene products act in the same repair pathway. A comparison of gene conversion events in wild-type and msh2 mutants indicated that mismatch repair plays an important role in genetic recombination. (1) Tetrad analysis at five different loci revealed that, in msh2 mutants, the majority of aberrant segregants displayed a sectored phenotype, consistent with a failure to repair mismatches created during heteroduplex formation. In wild type, base pair mismatches were almost exclusively repaired toward conversion rather than restoration. (2) In msh2 strains 10-19% of the aberrant tetrads were Ab4:4. (3) Polarity gradients at HIS4 and ARG4 were nearly abolished in msh2 mutants. The frequency of gene conversion at the 3' end of these genes was increased and was nearly the frequency observed at the 5' end. (4) Co-conversion studies were consistent with mismatch repair acting to regulate heteroduplex DNA tract length. We favor a model proposing that recombination events occur through the formation and resolution of heteroduplex intermediates and that mismatch repair proteins specifically interact with recombination enzymes to regulate the length of symmetric heteroduplex DNA. PMID:8056309

  8. Social and genetic interactions drive fitness variation in a free-living dolphin population

    PubMed Central

    Frère, Celine H.; Krützen, Michael; Mann, Janet; Connor, Richard C.; Bejder, Lars; Sherwin, William B.

    2010-01-01

    The evolutionary forces that drive fitness variation in species are of considerable interest. Despite this, the relative importance and interactions of genetic and social factors involved in the evolution of fitness traits in wild mammalian populations are largely unknown. To date, a few studies have demonstrated that fitness might be influenced by either social factors or genes in natural populations, but none have explored how the combined effect of social and genetic parameters might interact to influence fitness. Drawing from a long-term study of wild bottlenose dolphins in the eastern gulf of Shark Bay, Western Australia, we present a unique approach to understanding these interactions. Our study shows that female calving success depends on both genetic inheritance and social bonds. Moreover, we demonstrate that interactions between social and genetic factors also influence female fitness. Therefore, our study represents a major methodological advance, and provides critical insights into the interplay of genetic and social parameters of fitness. PMID:21041638

  9. Social and genetic interactions drive fitness variation in a free-living dolphin population.

    PubMed

    Frère, Celine H; Krützen, Michael; Mann, Janet; Connor, Richard C; Bejder, Lars; Sherwin, William B

    2010-11-16

    The evolutionary forces that drive fitness variation in species are of considerable interest. Despite this, the relative importance and interactions of genetic and social factors involved in the evolution of fitness traits in wild mammalian populations are largely unknown. To date, a few studies have demonstrated that fitness might be influenced by either social factors or genes in natural populations, but none have explored how the combined effect of social and genetic parameters might interact to influence fitness. Drawing from a long-term study of wild bottlenose dolphins in the eastern gulf of Shark Bay, Western Australia, we present a unique approach to understanding these interactions. Our study shows that female calving success depends on both genetic inheritance and social bonds. Moreover, we demonstrate that interactions between social and genetic factors also influence female fitness. Therefore, our study represents a major methodological advance, and provides critical insights into the interplay of genetic and social parameters of fitness.

  10. Interactions of chemical carcinogens and genetic variation in hepatocellular carcinoma

    PubMed Central

    Zhang, Yu-Jing

    2010-01-01

    In the etiology of hepatocellular carcinoma (HCC), in addition to hepatitis B virus and hepatitis C virus infections, chemical carcinogens also play important roles. For example, aflatoxin B1 (AFB1) epoxide reacts with guanine in DNA and can lead to genetic changes. In HCC, the tumor suppressor gene p53 codon 249 mutation is associated with AFB1 exposure and mutations in the K-ras oncogene are related to vinyl chloride exposure. Numerous genetic alterations accumulate during the process of hepatocarcinogenesis. Chemical carcinogen DNA-adduct formation is the basis for these genetic changes and also a molecular marker which reflects exposure level and biological effects. Metabolism of chemical carcinogens, including their activation and detoxification, also plays a key role in chemical hepatocarcinogenesis. Cytochrome p450 enzymes, N-acetyltransferases and glutathione S-transferases are involved in activating and detoxifying chemical carcinogens. These enzymes are polymorphic and genetic variation influences biological response to chemical carcinogens. This genetic variation has been postulated to influence the variability in risk for HCC observed both within and across populations. Ongoing studies seek to fully understand the mechanisms by which genetic variation in response to chemical carcinogens impacts on HCC risk. PMID:21160980

  11. Peer Observed Interaction and Structured Evaluation (POISE): a Canadian experience with peer supervision for genetic counselors.

    PubMed

    Goldsmith, Claire; Honeywell, Christina; Mettler, Gabrielle

    2011-04-01

    Peer observation, while often used in other professions, has not been formally applied in genetic counseling. The objective of this study was to pilot a method of peer evaluation whereby genetic counselors observed, and were observed by, each other during patient interaction. All of the available genetic counselors participated in both rounds of the pilot study (six in round one, seven in round two). The genetic counselors that observed the session used an observation room. Most participants reported learning a new skill. Sensitivity to, and comfort with, the feedback process improved. We conclude that Peer-Observed Interaction and Structured Evaluation (POISE) provides an opportunity to refresh counseling approaches and develop feedback skills without causing undue team discord. This new approach to peer supervision in genetic counselling offers a live observation approach for genetic counsellor supervision.

  12. A molecular-genetic approach to studying source-sink interactions in Arabidopsis thalian. Final report

    SciTech Connect

    Gibson, S. I.

    2000-06-01

    This is a final report describing the results of the research funded by the DOE Energy Biosciences Program grant entitled ''A Molecular-Genetic Approach to Studying Source-Sink Interactions in Arabidiopsis thaliana''.

  13. Genetic Vulnerability Interacts with Parenting and Early Care and Education to Predict Increasing Externalizing Behavior

    ERIC Educational Resources Information Center

    Lipscomb, Shannon T.; Laurent, Heidemarie; Neiderhiser, Jenae M.; Shaw, Daniel S.; Natsuaki, Misaki N.; Reiss, David; Leve, Leslie D.

    2014-01-01

    The current study examined interactions among genetic influences and children's early environments on the development of externalizing behaviors from 18 months to 6 years of age. Participants included 233 families linked through adoption (birth parents and adoptive families). Genetic influences were assessed by birth parent temperamental…

  14. Family Conflict Interacts with Genetic Liability in Predicting Childhood and Adolescent Depression

    ERIC Educational Resources Information Center

    Rice, Frances; Harold, Gordon T.; Shelton, Katherine H.; Thapar, Anita

    2006-01-01

    Objective: To test for gene-environment interaction with depressive symptoms and family conflict. Specifically, to first examine whether the influence of family conflict in predicting depressive symptoms is increased in individuals at genetic risk of depression. Second, to test whether the genetic component of variance in depressive symptoms…

  15. The genetics of music accomplishment: evidence for gene-environment correlation and interaction.

    PubMed

    Hambrick, David Z; Tucker-Drob, Elliot M

    2015-02-01

    Theories of skilled performance that emphasize training history, such as K. Anders Ericsson and colleagues' deliberate-practice theory, have received a great deal of recent attention in both the scientific literature and the popular press. Twin studies, however, have demonstrated evidence for moderate-to-strong genetic influences on skilled performance. Focusing on musical accomplishment in a sample of over 800 pairs of twins, we found evidence for gene-environment correlation, in the form of a genetic effect on music practice. However, only about one quarter of the genetic effect on music accomplishment was explained by this genetic effect on music practice, suggesting that genetically influenced factors other than practice contribute to individual differences in music accomplishment. We also found evidence for gene-environment interaction, such that genetic effects on music accomplishment were most pronounced among those engaging in music practice, suggesting that genetic potentials for skilled performance are most fully expressed and fostered by practice.

  16. Motivational Aspects of Learning Genetics with Interactive Multimedia

    ERIC Educational Resources Information Center

    Tsui, Chi-Yan; Treagust, David F.

    2004-01-01

    A BioLogica trial in six U.S. schools using interpretive approach is conducted by the Concord Consortium that examined the student motivation of learning genetics. Multiple data sources like online tests, computer data log files and classroom observation are used that found the result in terms of interviewees' perception, class-wide online…

  17. Systematic identification and correction of annotation errors in the genetic interaction map of Saccharomyces cerevisiae

    PubMed Central

    Atias, Nir; Kupiec, Martin; Sharan, Roded

    2016-01-01

    The yeast mutant collections are a fundamental tool in deciphering genomic organization and function. Over the last decade, they have been used for the systematic exploration of ∼6 000 000 double gene mutants, identifying and cataloging genetic interactions among them. Here we studied the extent to which these data are prone to neighboring gene effects (NGEs), a phenomenon by which the deletion of a gene affects the expression of adjacent genes along the genome. Analyzing ∼90,000 negative genetic interactions observed to date, we found that more than 10% of them are incorrectly annotated due to NGEs. We developed a novel algorithm, GINGER, to identify and correct erroneous interaction annotations. We validated the algorithm using a comparative analysis of interactions from Schizosaccharomyces pombe. We further showed that our predictions are significantly more concordant with diverse biological data compared to their mis-annotated counterparts. Our work uncovered about 9500 new genetic interactions in yeast. PMID:26602688

  18. An allele-specific PCR system for rapid detection and discrimination of the CYP2C19∗4A, ∗4B, and ∗17 alleles: implications for clopidogrel response testing.

    PubMed

    Scott, Stuart A; Tan, Qian; Baber, Usman; Yang, Yao; Martis, Suparna; Bander, Jeffrey; Kornreich, Ruth; Hulot, Jean-Sébastien; Desnick, Robert J

    2013-11-01

    CYP2C19 is involved in the metabolism of clinically relevant drugs, including the antiplatelet prodrug clopidogrel, which has prompted interest in clinical CYP2C19 genotyping. The CYP2C19∗4B allele is defined by both gain-of-function [c.-806C>T (∗17)] and loss-of-function [c.1A>G (∗4)] variants on the same haplotype; however, current genotyping and sequencing assays are unable to determine the phase of these variants. Thus, the aim of this study was to develop an assay that could rapidly detect and discriminate the related ∗4A, ∗4B, and ∗17 alleles. An allele-specific PCR assay, composed of four unique primer mixes that specifically interrogate the defining ∗17 and ∗4 variants, was developed by using samples (n = 20) with known genotypes, including the ∗4A, ∗4B, and/or ∗17 alleles. The assay was validated by testing 135 blinded samples, and the results were correlated with CYP2C19 genotyping and allele-specific cloning/sequencing. Importantly, among the six ∗4 carriers in the validation cohort, after allele-specific PCR testing both samples with a ∗1/∗4 genotype were reclassified to ∗1/∗4A, all three samples with a ∗4/∗17 genotype were reclassified to ∗1/∗4B, and a sample with a ∗4/∗17/∗17 genotype was reclassified to ∗4B/∗17. In conclusion, this rapid and robust allele-specific PCR assay can refine CYP2C19 genotyping and metabolizer phenotype classification by determining the phase of the defining ∗17 and ∗4 variants, which may have utility when testing CYP2C19 for clopidogrel response.

  19. Social Interactions and Indirect Genetic Effects on Complex Juvenile and Adult Traits.

    PubMed

    Ashbrook, David G; Hager, Reinmar

    2017-01-01

    Most animal species are social in one form or another, yet many studies in rodent model systems use either individually housed animals or ignore potential confounds caused by group housing. While such social interaction effects on developmental and behavioral traits are well established, the genetic basis of social interactions has not been researched in as much detail. Specifically, the effects of genetic variation in social partners on the phenotype of a focal individual have mostly been studied at the phenotypic level. Such indirect genetic effects (IGEs), where the genotype of one individual influences the phenotype of a second individual, can have important evolutionary and medically relevant consequences. In this chapter, we give a brief outline of social interaction effects, and how systems genetics approaches using recombinant inbred populations can be used to investigate indirect genetic effects specifically, including maternal genetic effects. We discuss experimental designs for the study of IGEs and show how indirect genetic loci can be identified that underlie social interaction effects, their mechanisms, and consequences for trait variation in focal individuals.

  20. Discovering Pair-Wise Genetic Interactions: An Information Theory-Based Approach

    PubMed Central

    Ignac, Tomasz M.; Skupin, Alexander; Sakhanenko, Nikita A.; Galas, David J.

    2014-01-01

    Phenotypic variation, including that which underlies health and disease in humans, results in part from multiple interactions among both genetic variation and environmental factors. While diseases or phenotypes caused by single gene variants can be identified by established association methods and family-based approaches, complex phenotypic traits resulting from multi-gene interactions remain very difficult to characterize. Here we describe a new method based on information theory, and demonstrate how it improves on previous approaches to identifying genetic interactions, including both synthetic and modifier kinds of interactions. We apply our measure, called interaction distance, to previously analyzed data sets of yeast sporulation efficiency, lipid related mouse data and several human disease models to characterize the method. We show how the interaction distance can reveal novel gene interaction candidates in experimental and simulated data sets, and outperforms other measures in several circumstances. The method also allows us to optimize case/control sample composition for clinical studies. PMID:24670935

  1. Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders

    PubMed Central

    Sahni, Nidhi; Yi, Song; Taipale, Mikko; Fuxman Bass, Juan I.; Coulombe-Huntington, Jasmin; Yang, Fan; Peng, Jian; Weile, Jochen; Karras, Georgios I.; Wang, Yang; Kovács, István A.; Kamburov, Atanas; Krykbaeva, Irina; Lam, Mandy H.; Tucker, George; Khurana, Vikram; Sharma, Amitabh; Liu, Yang-Yu; Yachie, Nozomu; Zhong, Quan; Shen, Yun; Palagi, Alexandre; San-Miguel, Adriana; Fan, Changyu; Balcha, Dawit; Dricot, Amelie; Jordan, Daniel M.; Walsh, Jennifer M.; Shah, Akash A.; Yang, Xinping; Stoyanova, Ani; Leighton, Alex; Calderwood, Michael A.; Jacob, Yves; Cusick, Michael E.; Salehi-Ashtiani, Kourosh; Whitesell, Luke J.; Sunyaev, Shamil; Berger, Bonnie; Barabási, Albert-László; Charloteaux, Benoit; Hill, David E.; Hao, Tong; Roth, Frederick P.; Xia, Yu; Walhout, Albertha J.M.; Lindquist, Susan; Vidal, Marc

    2015-01-01

    SUMMARY How disease-associated mutations impair protein activities in the context of biological networks remains mostly undetermined. Although a few renowned alleles are well characterized, functional information is missing for over 100,000 disease-associated variants. Here we functionally profile several thousand missense mutations across a spectrum of Mendelian disorders using various interaction assays. The majority of disease-associated alleles exhibit wild-type chaperone binding profiles, suggesting they preserve protein folding or stability. While common variants from healthy individuals rarely affect interactions, two-thirds of disease-associated alleles perturb protein-protein interactions, with half corresponding to “edgetic” alleles affecting only a subset of interactions while leaving most other interactions unperturbed. With transcription factors, many alleles that leave protein-protein interactions intact affect DNA binding. Different mutations in the same gene leading to different interaction profiles often result in distinct disease phenotypes. Thus disease-associated alleles that perturb distinct protein activities rather than grossly affecting folding and stability are relatively widespread. PMID:25910212

  2. Genetic Background, Maternal Age, and Interaction Effects Mediate Rates of Crossing Over in Drosophila melanogaster Females.

    PubMed

    Hunter, Chad M; Robinson, Matthew C; Aylor, David L; Singh, Nadia D

    2016-05-03

    Meiotic recombination is a genetic process that is critical for proper chromosome segregation in many organisms. Despite being fundamental for organismal fitness, rates of crossing over vary greatly between taxa. Both genetic and environmental factors contribute to phenotypic variation in crossover frequency, as do genotype-environment interactions. Here, we test the hypothesis that maternal age influences rates of crossing over in a genotypic-specific manner. Using classical genetic techniques, we estimated rates of crossing over for individual Drosophila melanogaster females from five strains over their lifetime from a single mating event. We find that both age and genetic background significantly contribute to observed variation in recombination frequency, as do genotype-age interactions. We further find differences in the effect of age on recombination frequency in the two genomic regions surveyed. Our results highlight the complexity of recombination rate variation and reveal a new role of genotype by maternal age interactions in mediating recombination rate.

  3. Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data

    SciTech Connect

    Zhu, Yitan; Xu, Yanxun; Helseth, Donald L.; Gulukota, Kamalakar; Yang, Shengjie; Pesce, Lorenzo L.; Mitra, Riten; Muller, Peter; Sengupta, Subhajit; Guo, Wentian; Foster, Ian; Bullock, JaQuel A.

    2015-08-01

    Background: Genetic interactions play a critical role in cancer development. Existing knowledge about cancer genetic interactions is incomplete, especially lacking evidences derived from large-scale cancer genomics data. The Cancer Genome Atlas (TCGA) produces multimodal measurements across genomics and features of thousands of tumors, which provide an unprecedented opportunity to investigate the interplays of genes in cancer. Methods: We introduce Zodiac, a computational tool and resource to integrate existing knowledge about cancer genetic interactions with new information contained in TCGA data. It is an evolution of existing knowledge by treating it as a prior graph, integrating it with a likelihood model derived by Bayesian graphical model based on TCGA data, and producing a posterior graph as updated and data-enhanced knowledge. In short, Zodiac realizes “Prior interaction map + TCGA data → Posterior interaction map.” Results: Zodiac provides molecular interactions for about 200 million pairs of genes. All the results are generated from a big-data analysis and organized into a comprehensive database allowing customized search. In addition, Zodiac provides data processing and analysis tools that allow users to customize the prior networks and update the genetic pathways of their interest. Zodiac is publicly available at www.compgenome.org/ZODIAC. Conclusions: Zodiac recapitulates and extends existing knowledge of molecular interactions in cancer. It can be used to explore novel gene-gene interactions, transcriptional regulation, and other types of molecular interplays in cancer.

  4. Genetic Interactions with Prenatal Social Environment: Effects on Academic and Behavioral Outcomes

    ERIC Educational Resources Information Center

    Conley, Dalton; Rauscher, Emily

    2013-01-01

    Numerous studies report gene-environment interactions, suggesting that specific alleles have different effects on social outcomes depending on environment. In all these studies, however, environmental conditions are potentially endogenous to unmeasured genetic characteristics. That is, it could be that the observed interaction effects actually…

  5. Structural Neuroimaging Genetics Interactions in Alzheimer’s Disease

    PubMed Central

    Moon, Seok Woo; Dinov, Ivo D.; Kim, Jaebum; Zamanyan, Alen; Hobel, Sam; Thompson, Paul M.; Toga, Arthur W.

    2016-01-01

    This article investigates late-onset cognitive impairment using neuroimaging and genetics biomarkers for subjects participating in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Eight hundred and eight ADNI subjects were identified and divided into three groups: those with Alzheimer’s Disease (AD), those with mild cognitive impairment (MCI), and asymptomatic normal control (NC) group. Two hundred of the subjects qualified for AD diagnosis at the baseline; three hundred and eighty-three had MCI; and 225 were included in the NC group. The structural magnetic resonance imaging (MRI) data were parcellated using BrainParser, and the 80 most important neuroimaging biomarkers were extracted using the Global Shape Analysis (GSA) Pipeline workflow. We obtained 80 SNPs using Plink analysis via the Pipeline environment. In the AD cohort, rs2137962 was significantly associated with changes in left and right hippocampi and bilaterally in parahippocampal gyri, and rs1498853, rs288503, and rs288496 were significantly associated with hippocampi bilaterally, the right parahippocampal gyrus, and left inferior temporal gyrus. In the MCI cohort, rs17028008 and rs17027976 were significantly associated with right caudate and right fusiform gyrus, and rs2075650 (TOMM40) was significantly associated with right caudate, rs1334496 and rs4829605 were significantly associated with right inferior temporal gyrus. In the NC cohort, Chromosome 15 [rs734854 (STOML1), rs11072463 (PML), rs4886844 (PML) and rs1052242 (PML)] was significantly associated with the both hippocampi and both insular cortex and rs4899412 (RGS6) was significantly associated with caudate related biomarkers. We observed significant correlations between the SNPs and the neuroimaging phenotypes in the 808 subjects in terms of neuroimaging genetics. These results illustrate some of the neuroimaging-genetics associations between the AD, MCI and NC cohorts. PMID:26444770

  6. A bivariate mann-whitney approach for unraveling genetic variants and interactions contributing to comorbidity.

    PubMed

    Wen, Yalu; Schaid, Daniel J; Lu, Qing

    2013-04-01

    Although comorbidity among complex diseases (e.g., drug dependence syndromes) is well documented, genetic variants contributing to the comorbidity are still largely unknown. The discovery of genetic variants and their interactions contributing to comorbidity will likely shed light on underlying pathophysiological and etiological processes, and promote effective treatments for comorbid conditions. For this reason, studies to discover genetic variants that foster the development of comorbidity represent high-priority research projects, as manifested in the behavioral genetics studies now underway. The yield from these studies can be enhanced by adopting novel statistical approaches, with the capacity of considering multiple genetic variants and possible interactions. For this purpose, we propose a bivariate Mann-Whitney (BMW) approach to unravel genetic variants and interactions contributing to comorbidity, as well as those unique to each comorbid condition. Through simulations, we found BMW outperformed two commonly adopted approaches in a variety of underlying disease and comorbidity models. We further applied BMW to datasets from the Study of Addiction: Genetics and Environment, investigating the contribution of 184 known nicotine dependence (ND) and alcohol dependence (AD) single nucleotide polymorphisms (SNPs) to the comorbidity of ND and AD. The analysis revealed a candidate SNP from CHRNA5, rs16969968, associated with both ND and AD, and replicated the findings in an independent dataset with a P-value of 1.06 × 10(-03) .

  7. Genotype X environment interactions. II. Some genetical considerations.

    PubMed

    Mather, K

    1975-08-01

    An algebraic formulation, alternative to that of Mather and Jones (1958) and hierarchial rather than factorial in nauture, is presented for describing the differences among the phenotypes produced by a number of genotypes each grown in each of a number of environments. This formuationdoes not include terms representing statistical interactions between genotypes and environments: it depends instead on comparisons between the different genotypes in their variation over the relevant ranges of environemnts. The two-line case is considered ant eht condition established for linearity of the regress ion of genotype X enviroment interaction (g in Mather and Jones' formulation) on overall effect of the envirronment (e in Mather and Jones' formulation)...

  8. Genetics-based interactions among plants, pathogens, and herbivores define arthropod community structure.

    PubMed

    Busby, Posy E; Lamit, Louis J; Keith, Arthur R; Newcombe, George; Gehring, Catherine A; Whitham, Thomas G; Dirzo, Rodolfo

    2015-07-01

    Plant resistance to pathogens or insect herbivores is common, but its potential for indirectly influencing plant-associated communities is poorly known. Here, we test whether pathogens' indirect effects on arthropod communities and herbivory depend on plant resistance to pathogens and/or herbivores, and address the overarching interacting foundation species hypothesis that genetics-based interactions among a few highly interactive species can structure a much larger community. In a manipulative field experiment using replicated genotypes of two Populus species and their interspecific hybrids, we found that genetic variation in plant resistance to both pathogens and insect herbivores modulated the strength of pathogens' indirect effects on arthropod communities and insect herbivory. First, due in part to the pathogens' differential impacts on leaf biomass among the two Populus species and the hybrids, the pathogen most strongly impacted arthropod community composition, richness, and abundance on the pathogen-susceptible tree species. Second, we found similar patterns comparing pathogen-susceptible and pathogen-resistant genotypes within species. Third, within a plant species, pathogens caused a fivefold greater reduction in herbivory on insect-herbivore-susceptible plant genotypes than on herbivore-resistant genotypes, demonstrating that the pathogen-herbivore interaction is genotype dependent. We conclude that interactions among plants, pathogens, and herbivores can structure multitrophic communities, supporting the interacting foundation species hypothesis. Because these interactions are genetically based, evolutionary changes in genetic resistance could result in ecological changes in associated communities, which may in turn feed back to affect plant fitness.

  9. Kernel Approach for Modeling Interaction Effects in Genetic Association Studies of Complex Quantitative Traits

    PubMed Central

    Broadaway, K. Alaine; Duncan, Richard; Conneely, Karen N.; Almli, Lynn M.; Bradley, Bekh; Ressler, Kerry J.; Epstein, Michael P.

    2015-01-01

    The etiology of complex traits likely involves the effects of genetic and environmental factors, along with complicated interaction effects between them. Consequently, there has been interest in applying genetic association tests of complex traits that account for potential modification of the genetic effect in the presence of an environmental factor. One can perform such an analysis using a joint test of gene and gene-environment interaction. An optimal joint test would be one that remains powerful under a variety of models ranging from those of strong gene-environment interaction effect to those of little or no gene-environment interaction effect. To fill this demand, we have extended a kernel-machine based approach for association mapping of multiple SNPs to consider joint tests of gene and gene-environment interaction. The kernel-based approach for joint testing is promising, since it incorporates linkage disequilibrium information from multiple SNPs simultaneously in analysis and permits flexible modeling of interaction effects. Using simulated data, we show that our kernel-machine approach typically outperforms the traditional joint test under strong gene-environment interaction models and further outperforms the traditional main-effect association test under models of weak or no gene-environment interaction effects. We illustrate our test using genome-wide association data from the Grady Trauma Project, a cohort of highly traumatized, at-risk individuals, which has previously been investigated for interaction effects. PMID:25885490

  10. Approaching the Functional Annotation of Fungal Virulence Factors Using Cross-Species Genetic Interaction Profiling

    PubMed Central

    Brown, Jessica C. S.; Madhani, Hiten D.

    2012-01-01

    In many human fungal pathogens, genes required for disease remain largely unannotated, limiting the impact of virulence gene discovery efforts. We tested the utility of a cross-species genetic interaction profiling approach to obtain clues to the molecular function of unannotated pathogenicity factors in the human pathogen Cryptococcus neoformans. This approach involves expression of C. neoformans genes of interest in each member of the Saccharomyces cerevisiae gene deletion library, quantification of their impact on growth, and calculation of the cross-species genetic interaction profiles. To develop functional predictions, we computed and analyzed the correlations of these profiles with existing genetic interaction profiles of S. cerevisiae deletion mutants. For C. neoformans LIV7, which has no S. cerevisiae ortholog, this profiling approach predicted an unanticipated role in the Golgi apparatus. Validation studies in C. neoformans demonstrated that Liv7 is a functional Golgi factor where it promotes the suppression of the exposure of a specific immunostimulatory molecule, mannose, on the cell surface, thereby inhibiting phagocytosis. The genetic interaction profile of another pathogenicity gene that lacks an S. cerevisiae ortholog, LIV6, strongly predicted a role in endosome function. This prediction was also supported by studies of the corresponding C. neoformans null mutant. Our results demonstrate the utility of quantitative cross-species genetic interaction profiling for the functional annotation of fungal pathogenicity proteins of unknown function including, surprisingly, those that are not conserved in sequence across fungi. PMID:23300468

  11. Approaching the functional annotation of fungal virulence factors using cross-species genetic interaction profiling.

    PubMed

    Brown, Jessica C S; Madhani, Hiten D

    2012-01-01

    In many human fungal pathogens, genes required for disease remain largely unannotated, limiting the impact of virulence gene discovery efforts. We tested the utility of a cross-species genetic interaction profiling approach to obtain clues to the molecular function of unannotated pathogenicity factors in the human pathogen Cryptococcus neoformans. This approach involves expression of C. neoformans genes of interest in each member of the Saccharomyces cerevisiae gene deletion library, quantification of their impact on growth, and calculation of the cross-species genetic interaction profiles. To develop functional predictions, we computed and analyzed the correlations of these profiles with existing genetic interaction profiles of S. cerevisiae deletion mutants. For C. neoformans LIV7, which has no S. cerevisiae ortholog, this profiling approach predicted an unanticipated role in the Golgi apparatus. Validation studies in C. neoformans demonstrated that Liv7 is a functional Golgi factor where it promotes the suppression of the exposure of a specific immunostimulatory molecule, mannose, on the cell surface, thereby inhibiting phagocytosis. The genetic interaction profile of another pathogenicity gene that lacks an S. cerevisiae ortholog, LIV6, strongly predicted a role in endosome function. This prediction was also supported by studies of the corresponding C. neoformans null mutant. Our results demonstrate the utility of quantitative cross-species genetic interaction profiling for the functional annotation of fungal pathogenicity proteins of unknown function including, surprisingly, those that are not conserved in sequence across fungi.

  12. Gene × Environment Interactions in Schizophrenia: Evidence from Genetic Mouse Models

    PubMed Central

    Marr, Julia; Bock, Gavin; Desbonnet, Lieve; Waddington, John

    2016-01-01

    The study of gene × environment, as well as epistatic interactions in schizophrenia, has provided important insight into the complex etiopathologic basis of schizophrenia. It has also increased our understanding of the role of susceptibility genes in the disorder and is an important consideration as we seek to translate genetic advances into novel antipsychotic treatment targets. This review summarises data arising from research involving the modelling of gene × environment interactions in schizophrenia using preclinical genetic models. Evidence for synergistic effects on the expression of schizophrenia-relevant endophenotypes will be discussed. It is proposed that valid and multifactorial preclinical models are important tools for identifying critical areas, as well as underlying mechanisms, of convergence of genetic and environmental risk factors, and their interaction in schizophrenia. PMID:27725886

  13. Worming forward: amyotrophic lateral sclerosis toxicity mechanisms and genetic interactions in Caenorhabditis elegans

    PubMed Central

    Therrien, Martine; Parker, J. Alex

    2014-01-01

    Neurodegenerative diseases share pathogenic mechanisms at the cellular level including protein misfolding, excitotoxicity and altered RNA homeostasis among others. Recent advances have shown that the genetic causes underlying these pathologies overlap, hinting at the existence of a genetic network for neurodegeneration. This is perhaps best illustrated by the recent discoveries of causative mutations for amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). Once thought to be distinct entities, it is now recognized that these diseases exist along a genetic spectrum. With this wealth of discoveries comes the need to develop new genetic models of ALS and FTD to investigate not only pathogenic mechanisms linked to causative mutations, but to uncover potential genetic interactions that may point to new therapeutic targets. Given the conservation of many disease genes across evolution, Caenorhabditis elegans is an ideal system to investigate genetic interactions amongst these genes. Here we review the use of C. elegans to model ALS and investigate a putative genetic network for ALS/FTD that may extend to other neurological disorders. PMID:24860590

  14. Genetic interaction network of the Saccharomyces cerevisiae type 1 phosphatase Glc7

    PubMed Central

    Logan, Michael R; Nguyen, Thao; Szapiel, Nicolas; Knockleby, James; Por, Hanting; Zadworny, Megan; Neszt, Michael; Harrison, Paul; Bussey, Howard; Mandato, Craig A; Vogel, Jackie; Lesage, Guillaume

    2008-01-01

    Background Protein kinases and phosphatases regulate protein phosphorylation, a critical means of modulating protein function, stability and localization. The identification of functional networks for protein phosphatases has been slow due to their redundant nature and the lack of large-scale analyses. We hypothesized that a genome-scale analysis of genetic interactions using the Synthetic Genetic Array could reveal protein phosphatase functional networks. We apply this approach to the conserved type 1 protein phosphatase Glc7, which regulates numerous cellular processes in budding yeast. Results We created a novel glc7 catalytic mutant (glc7-E101Q). Phenotypic analysis indicates that this novel allele exhibits slow growth and defects in glucose metabolism but normal cell cycle progression and chromosome segregation. This suggests that glc7-E101Q is a hypomorphic glc7 mutant. Synthetic Genetic Array analysis of glc7-E101Q revealed a broad network of 245 synthetic sick/lethal interactions reflecting that many processes are required when Glc7 function is compromised such as histone modification, chromosome segregation and cytokinesis, nutrient sensing and DNA damage. In addition, mitochondrial activity and inheritance and lipid metabolism were identified as new processes involved in buffering Glc7 function. An interaction network among 95 genes genetically interacting with GLC7 was constructed by integration of genetic and physical interaction data. The obtained network has a modular architecture, and the interconnection among the modules reflects the cooperation of the processes buffering Glc7 function. Conclusion We found 245 genes required for the normal growth of the glc7-E101Q mutant. Functional grouping of these genes and analysis of their physical and genetic interaction patterns bring new information on Glc7-regulated processes. PMID:18627629

  15. A double-mutant collection targeting MAP kinase related genes in Arabidopsis for studying genetic interactions.

    PubMed

    Su, Shih-Heng; Krysan, Patrick J

    2016-12-01

    Mitogen-activated protein kinase cascades are conserved in all eukaryotes. In Arabidopsis thaliana there are approximately 80 genes encoding MAP kinase kinase kinases (MAP3K), 10 genes encoding MAP kinase kinases (MAP2K), and 20 genes encoding MAP kinases (MAPK). Reverse genetic analysis has failed to reveal abnormal phenotypes for a majority of these genes. One strategy for uncovering gene function when single-mutant lines do not produce an informative phenotype is to perform a systematic genetic interaction screen whereby double-mutants are created from a large library of single-mutant lines. Here we describe a new collection of 275 double-mutant lines derived from a library of single-mutants targeting genes related to MAP kinase signaling. To facilitate this study, we developed a high-throughput double-mutant generating pipeline using a system for growing Arabidopsis seedlings in 96-well plates. A quantitative root growth assay was used to screen for evidence of genetic interactions in this double-mutant collection. Our screen revealed four genetic interactions, all of which caused synthetic enhancement of the root growth defects observed in a MAP kinase 4 (MPK4) single-mutant line. Seeds for this double-mutant collection are publicly available through the Arabidopsis Biological Resource Center. Scientists interested in diverse biological processes can now screen this double-mutant collection under a wide range of growth conditions in order to search for additional genetic interactions that may provide new insights into MAP kinase signaling.

  16. Cancer Genetics Education in a Low- to Middle-Income Country: Evaluation of an Interactive Workshop for Clinicians in Kenya

    PubMed Central

    Hill, Jessica A.; Lee, Su Yeon; Njambi, Lucy; Corson, Timothy W.; Dimaras, Helen

    2015-01-01

    Background Clinical genetic testing is becoming an integral part of medical care for inherited disorders. While genetic testing and counseling are readily available in high-income countries, in low- and middle-income countries like Kenya genetic testing is limited and genetic counseling is virtually non-existent. Genetic testing is likely to become widespread in Kenya within the next decade, yet there has not been a concomitant increase in genetic counseling resources. To address this gap, we designed an interactive workshop for clinicians in Kenya focused on the genetics of the childhood eye cancer retinoblastoma. The objectives were to increase retinoblastoma genetics knowledge, build genetic counseling skills and increase confidence in those skills. Methods The workshop was conducted at the 2013 Kenyan National Retinoblastoma Strategy meeting. It included a retinoblastoma genetics presentation, small group discussion of case studies and genetic counseling role-play. Knowledge was assessed by standardized test, and genetic counseling skills and confidence by questionnaire. Results Knowledge increased significantly post-workshop, driven by increased knowledge of retinoblastoma causative genetics. One-year post-workshop, participant knowledge had returned to baseline, indicating that knowledge retention requires more frequent reinforcement. Participants reported feeling more confident discussing genetics with patients, and had integrated more genetic counseling into patient interactions. Conclusion A comprehensive retinoblastoma genetics workshop can increase the knowledge and skills necessary for effective retinoblastoma genetic counseling. PMID:26035834

  17. Transgene × Environment Interactions in Genetically Modified Wheat

    PubMed Central

    Zeller, Simon L.; Kalinina, Olena; Brunner, Susanne; Keller, Beat; Schmid, Bernhard

    2010-01-01

    Background The introduction of transgenes into plants may cause unintended phenotypic effects which could have an impact on the plant itself and the environment. Little is published in the scientific literature about the interrelation of environmental factors and possible unintended effects in genetically modified (GM) plants. Methods and Findings We studied transgenic bread wheat Triticum aestivum lines expressing the wheat Pm3b gene against the fungus powdery mildew Blumeria graminis f.sp. tritici. Four independent offspring pairs, each consisting of a GM line and its corresponding non-GM control line, were grown under different soil nutrient conditions and with and without fungicide treatment in the glasshouse. Furthermore, we performed a field experiment with a similar design to validate our glasshouse results. The transgene increased the resistance to powdery mildew in all environments. However, GM plants reacted sensitive to fungicide spraying in the glasshouse. Without fungicide treatment, in the glasshouse GM lines had increased vegetative biomass and seed number and a twofold yield compared with control lines. In the field these results were reversed. Fertilization generally increased GM/control differences in the glasshouse but not in the field. Two of four GM lines showed up to 56% yield reduction and a 40-fold increase of infection with ergot disease Claviceps purpurea compared with their control lines in the field experiment; one GM line was very similar to its control. Conclusions Our results demonstrate that, depending on the insertion event, a particular transgene can have large effects on the entire phenotype of a plant and that these effects can sometimes be reversed when plants are moved from the glasshouse to the field. However, it remains unclear which mechanisms underlie these effects and how they may affect concepts in molecular plant breeding and plant evolutionary ecology. PMID:20635001

  18. Allele-specific conventional reverse-transcription polymerase chain reaction as a screening assay for discriminating influenza a H1N1 (H275Y) oseltamivir-resistant and wild-type viruses.

    PubMed

    Ngai, Karry L K; Lam, Wai-Yip; Lee, Nelson; Leung, Ting Fan; Hui, David S C; Chan, Paul K S

    2010-08-01

    In early 2008, a sudden increase in oseltamivir (Tamiflu)-resistant influenza A H1N1 viruses was reported from several European countries. This resistant virus has spread globally and accounted for more than 95% of H1N1 viruses isolated in the following influenza season. A continuous close monitoring on the prevalence of this resistant virus is necessary to rationalize the choice of antiviral agents. The resistance of this novel strain to oseltamivir is conferred by an amino acid substitution from histidine to tyrosine at position 275 (H275Y) of the neuraminidase protein. This study developed and evaluated allele-specific conventional reverse-transcription polymerase chain reaction (cRT-PCR) assays to provide a simple, rapid, and low-cost option for discriminating oseltamivir-resistant influenza A H1N1 (H275Y) mutant from wild-type viruses. The evaluation was based on 90 nasopharyngeal aspirate specimens collected before, during the initial phase and at the peak of emergence of resistance. Thirty-six (40%) of these specimens were H275Y mutant, whereas the other 54 (60%) were wild-type viruses as confirmed by sequencing of the neuraminidase gene. When applied directly on the 90 nasopharyngeal aspirate specimens, the allele-specific cRT-PCR assays achieved an unequivocal discrimination for 82 (91%) specimens. Further improvement in performance is expected when applied to cell culture isolates with a higher viral titer. These allele-specific cRT-PCR assays can be a simple, low-cost option for large-scale screening of influenza isolates.

  19. High-throughput, quantitative analyses of genetic interactions in E. coli.

    PubMed

    Typas, Athanasios; Nichols, Robert J; Siegele, Deborah A; Shales, Michael; Collins, Sean R; Lim, Bentley; Braberg, Hannes; Yamamoto, Natsuko; Takeuchi, Rikiya; Wanner, Barry L; Mori, Hirotada; Weissman, Jonathan S; Krogan, Nevan J; Gross, Carol A

    2008-09-01

    Large-scale genetic interaction studies provide the basis for defining gene function and pathway architecture. Recent advances in the ability to generate double mutants en masse in Saccharomyces cerevisiae have dramatically accelerated the acquisition of genetic interaction information and the biological inferences that follow. Here we describe a method based on F factor-driven conjugation, which allows for high-throughput generation of double mutants in Escherichia coli. This method, termed genetic interaction analysis technology for E. coli (GIANT-coli), permits us to systematically generate and array double-mutant cells on solid media in high-density arrays. We show that colony size provides a robust and quantitative output of cellular fitness and that GIANT-coli can recapitulate known synthetic interactions and identify previously unidentified negative (synthetic sickness or lethality) and positive (suppressive or epistatic) relationships. Finally, we describe a complementary strategy for genome-wide suppressor-mutant identification. Together, these methods permit rapid, large-scale genetic interaction studies in E. coli.

  20. Genetic interaction analysis of point mutations enables interrogation of gene function at a residue-level resolution: exploring the applications of high-resolution genetic interaction mapping of point mutations.

    PubMed

    Braberg, Hannes; Moehle, Erica A; Shales, Michael; Guthrie, Christine; Krogan, Nevan J

    2014-07-01

    We have achieved a residue-level resolution of genetic interaction mapping - a technique that measures how the function of one gene is affected by the alteration of a second gene - by analyzing point mutations. Here, we describe how to interpret point mutant genetic interactions, and outline key applications for the approach, including interrogation of protein interaction interfaces and active sites, and examination of post-translational modifications. Genetic interaction analysis has proven effective for characterizing cellular processes; however, to date, systematic high-throughput genetic interaction screens have relied on gene deletions or knockdowns, which limits the resolution of gene function analysis and poses problems for multifunctional genes. Our point mutant approach addresses these issues, and further provides a tool for in vivo structure-function analysis that complements traditional biophysical methods. We also discuss the potential for genetic interaction mapping of point mutations in human cells and its application to personalized medicine.

  1. Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.

    PubMed

    Collins, Sean R; Miller, Kyle M; Maas, Nancy L; Roguev, Assen; Fillingham, Jeffrey; Chu, Clement S; Schuldiner, Maya; Gebbia, Marinella; Recht, Judith; Shales, Michael; Ding, Huiming; Xu, Hong; Han, Junhong; Ingvarsdottir, Kristin; Cheng, Benjamin; Andrews, Brenda; Boone, Charles; Berger, Shelley L; Hieter, Phil; Zhang, Zhiguo; Brown, Grant W; Ingles, C James; Emili, Andrew; Allis, C David; Toczyski, David P; Weissman, Jonathan S; Greenblatt, Jack F; Krogan, Nevan J

    2007-04-12

    Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that is largely invisible to protein-protein interaction data sets. Here we present an epistatic miniarray profile (E-MAP) consisting of quantitative pairwise measurements of the genetic interactions between 743 Saccharomyces cerevisiae genes involved in various aspects of chromosome biology (including DNA replication/repair, chromatid segregation and transcriptional regulation). This E-MAP reveals that physical interactions fall into two well-represented classes distinguished by whether or not the individual proteins act coherently to carry out a common function. Thus, genetic interaction data make it possible to dissect functionally multi-protein complexes, including Mediator, and to organize distinct protein complexes into pathways. In one pathway defined here, we show that Rtt109 is the founding member of a novel class of histone acetyltransferases responsible for Asf1-dependent acetylation of histone H3 on lysine 56. This modification, in turn, enables a ubiquitin ligase complex containing the cullin Rtt101 to ensure genomic integrity during DNA replication.

  2. Interactions within the MHC contribute to the genetic architecture of celiac disease

    PubMed Central

    Abraham, Gad; Kikianty, Eder; Wang, Qiao; Rawlinson, Dave; Shi, Fan; Haviv, Izhak; Stern, Linda

    2017-01-01

    Interaction analysis of GWAS can detect signal that would be ignored by single variant analysis, yet few robust interactions in humans have been detected. Recent work has highlighted interactions in the MHC region between known HLA risk haplotypes for various autoimmune diseases. To better understand the genetic interactions underlying celiac disease (CD), we have conducted exhaustive genome-wide scans for pairwise interactions in five independent CD case-control studies, using a rapid model-free approach to examine over 500 billion SNP pairs in total. We found 14 independent interaction signals within the MHC region that achieved stringent replication criteria across multiple studies and were independent of known CD risk HLA haplotypes. The strongest independent CD interaction signal corresponded to genes in the HLA class III region, in particular PRRC2A and GPANK1/C6orf47, which are known to contain variants for non-Hodgkin's lymphoma and early menopause, co-morbidities of celiac disease. Replicable evidence for statistical interaction outside the MHC was not observed. Both within and between European populations, we observed striking consistency of two-locus models and model distribution. Within the UK population, models of CD based on both interactions and additive single-SNP effects increased explained CD variance by approximately 1% over those of single SNPs. The interactions signal detected across the five cohorts indicates the presence of novel associations in the MHC region that cannot be detected using additive models. Our findings have implications for the determination of genetic architecture and, by extension, the use of human genetics for validation of therapeutic targets. PMID:28282431

  3. Interactions within the MHC contribute to the genetic architecture of celiac disease.

    PubMed

    Goudey, Benjamin; Abraham, Gad; Kikianty, Eder; Wang, Qiao; Rawlinson, Dave; Shi, Fan; Haviv, Izhak; Stern, Linda; Kowalczyk, Adam; Inouye, Michael

    2017-01-01

    Interaction analysis of GWAS can detect signal that would be ignored by single variant analysis, yet few robust interactions in humans have been detected. Recent work has highlighted interactions in the MHC region between known HLA risk haplotypes for various autoimmune diseases. To better understand the genetic interactions underlying celiac disease (CD), we have conducted exhaustive genome-wide scans for pairwise interactions in five independent CD case-control studies, using a rapid model-free approach to examine over 500 billion SNP pairs in total. We found 14 independent interaction signals within the MHC region that achieved stringent replication criteria across multiple studies and were independent of known CD risk HLA haplotypes. The strongest independent CD interaction signal corresponded to genes in the HLA class III region, in particular PRRC2A and GPANK1/C6orf47, which are known to contain variants for non-Hodgkin's lymphoma and early menopause, co-morbidities of celiac disease. Replicable evidence for statistical interaction outside the MHC was not observed. Both within and between European populations, we observed striking consistency of two-locus models and model distribution. Within the UK population, models of CD based on both interactions and additive single-SNP effects increased explained CD variance by approximately 1% over those of single SNPs. The interactions signal detected across the five cohorts indicates the presence of novel associations in the MHC region that cannot be detected using additive models. Our findings have implications for the determination of genetic architecture and, by extension, the use of human genetics for validation of therapeutic targets.

  4. Concurrence of High Fat Diet and APOE Gene Induces Allele Specific Metabolic and Mental Stress Changes in a Mouse Model of Alzheimer’s Disease

    PubMed Central

    Segev, Yifat; Livne, Adva; Mints, Meshi; Rosenblum, Kobi

    2016-01-01

    Aging is the main risk factor for neurodegenerative diseases, including Alzheimer’s disease (AD). However, evidence indicates that the pathological process begins long before actual cognitive or pathological symptoms are apparent. The long asymptomatic phase and complex integration between genetic, environmental and metabolic factors make it one of the most challenging diseases to understand and cure. In the present study, we asked whether an environmental factor such as high-fat (HF) diet would synergize with a genetic factor to affect the metabolic and cognitive state in the Apolipoprotein E (ApoE4) mouse model of AD. Our data suggest that a HF diet induces diabetes mellitus (DM)-like metabolism in ApoE4 mice, as well as changes in β-site amyloid precursor protein-cleaving enzyme 1 (BACE1) protein levels between the two ApoE strains. Furthermore, HF diet induces anxiety in this AD mouse model. Our results suggest that young ApoE4 carriers are prone to psychological stress and metabolic abnormalities related to AD, which can easily be triggered via HF nutrition. PMID:27656136

  5. Genetics of non-alcoholic fatty liver disease: From susceptibility and nutrient interactions to management

    PubMed Central

    Ravi Kanth, Vishnubhotla Venkata; Sasikala, Mitnala; Sharma, Mithun; Rao, Padaki Nagaraja; Reddy, Duvvuru Nageshwar

    2016-01-01

    Genetics plays an important role in determining the susceptibility of an individual to develop a disease. Complex, multi factorial diseases of modern day (diabetes, cardiovascular disease, hypertension and obesity) are a result of disparity between the type of food consumed and genes, suggesting that food which does not match the host genes is probably one of the major reasons for developing life style diseases. Non-alcoholic fatty liver is becoming a global epidemic leading to substantial morbidity. While various genotyping approaches such as whole exome sequencing using next generation sequencers and genome wide association studies have identified susceptibility loci for non-alcoholic fatty liver disease (NAFLD) including variants in patatin-like phospholipase domain containing 3 and transmembrane 6 superfamily member 2 genes apart from others; nutrient based studies emphasized on a combination of vitamin D, E and omega-3 fatty acids to manage fatty liver disease. However majority of the studies were conducted independent of each other and very few studies explored the interactions between the genetic susceptibility and nutrient interactions. Identifying such interactions will aid in optimizing the nutrition tailor made to an individual’s genetic makeup, thereby aiding in delaying the onset of the disease and its progression. The present topic focuses on studies that identified the genetic susceptibility for NAFLD, nutritional recommendations, and their interactions for better management of NAFLD. PMID:27458502

  6. Current progress on genetic interactions of rice with rice blast and sheath blight fungi

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Analysis of genetic interactions between rice and its pathogenic fungi Magnaporthe oryzae and Rhizoctonia solani should lead to a better understanding of molecular mechanisms of host resistance, and the improvement of strategies to manage rice blast and sheath blight diseases. Presently dozens of ri...

  7. Assessment of an Interactive Computer-Based Patient Prenatal Genetic Screening and Testing Education Tool

    ERIC Educational Resources Information Center

    Griffith, Jennifer M.; Sorenson, James R.; Bowling, J. Michael; Jennings-Grant, Tracey

    2005-01-01

    The Enhancing Patient Prenatal Education study tested the feasibility and educational impact of an interactive program for patient prenatal genetic screening and testing education. Patients at two private practices and one public health clinic participated (N = 207). The program collected knowledge and measures of anxiety before and after use of…

  8. The Interaction of Selective Attention and Cognitive Development on Achievement in Nigerian Secondary School Genetics

    ERIC Educational Resources Information Center

    Okoye, Namdi N. S.

    2009-01-01

    The study tried to examine the interaction between two independent variables of selective attention and cognitive development on Achievement in Genetics at the Secondary School level. In looking at the problem of this study three null hypotheses were generated for testing at 0.05 level of significance. Factorial Analysis of Variance design with…

  9. Genetic interactions for heat stress and production level: predicting foreign from domestic data

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic by environmental interactions were estimated from U.S. national data by separately adding random regressions for heat stress (HS) and herd production level (HL) to the all-breed animal model to improve predictions of future records and rankings in other climate and production situations. Yie...

  10. Genetic vulnerability interacts with parenting and early care education to predict increasing externalizing behavior

    PubMed Central

    Lipscomb, Shannon T.; Laurent, Heidemarie; Neiderhiser, Jenae M.; Shaw, Daniel S.; Natsuaki, Misaki N.; Reiss, David; Leve, Leslie D.

    2014-01-01

    The current study examined interactions among genetic influences and children’s early environments on the development of externalizing behaviors from 18 months to 6 years of age. Participants included 233 families linked through adoption (birth parents and adoptive families). Genetic influences were assessed by birth parent temperamental regulation. Early environments included both family (overreactive parenting) and out-of-home factors (center-based Early Care and Education; ECE). Overreactive parenting predicted more child externalizing behaviors. Attending center-based ECE was associated with increasing externalizing behaviors only for children with genetic liability for dysregulation. Additionally, children who were at risk for externalizing behaviors due to both genetic variability and exposure to center-based ECE were more sensitive to the effects of overreactive parenting on externalizing behavior than other children. PMID:25067867

  11. Allele-specific recognition by LILRB3 and LILRA6 of a cytokeratin 8 - associated ligand on necrotic glandular epithelial cells

    PubMed Central

    López-Álvarez, María R.; Jahnke, Martin; Russell, Alasdair I.; Radjabova, Valeria; Trowsdale, Alice R.Z.; Trowsdale, John

    2016-01-01

    The LILRs are a family of receptors that regulate the activities of myelomonocytic cells. We found that specific allelic variants of two related members of the LILR family, LILRB3 and LILRA6, interact with a ligand exposed on necrotic glandular epithelial cells. The extracellular domains of LILRB3 and LILRA6 are very similar and their genes are highly polymorphic. A commonly occurring allele, LILRB3*12, displayed particularly strong binding of these necrotic cells and further screening of the products of LILRB3 alleles identified motifs that correlated with binding. Immunoprecipitation of the ligand from epithelial cell lysates using recombinant LILRB3*12, identified cytokeratins 8, 18 and 19. Purified proteins obtained from epithelial cell lysates, using anti-cytokeratin 8 antibodies, were able to activate LILRB3*12 reporter cells. Knock-down of cytokeratin 8 in epithelial cells abrogated expression of the LILRB3 ligand, while staining with recombinant LILRB3*12 showed co-localisation with cytokeratin 8 and 18 in permeabilised breast cancer cells. Necrosis is a common feature of tumours. The finding of a necrosis-associated ligand for these two receptors raises the possibility of a novel interaction that alters immune responses within the tumour microenvironment. Since LILRB3 and LILRA6 genes are highly polymorphic the interaction may influence an individual's immune response to tumours. PMID:26769854

  12. Genetic interactions affecting human gene expression identified by variance association mapping

    PubMed Central

    Brown, Andrew Anand; Buil, Alfonso; Viñuela, Ana; Lappalainen, Tuuli; Zheng, Hou-Feng; Richards, J Brent; Small, Kerrin S; Spector, Timothy D; Dermitzakis, Emmanouil T; Durbin, Richard

    2014-01-01

    Non-additive interaction between genetic variants, or epistasis, is a possible explanation for the gap between heritability of complex traits and the variation explained by identified genetic loci. Interactions give rise to genotype dependent variance, and therefore the identification of variance quantitative trait loci can be an intermediate step to discover both epistasis and gene by environment effects (GxE). Using RNA-sequence data from lymphoblastoid cell lines (LCLs) from the TwinsUK cohort, we identify a candidate set of 508 variance associated SNPs. Exploiting the twin design we show that GxE plays a role in ∼70% of these associations. Further investigation of these loci reveals 57 epistatic interactions that replicated in a smaller dataset, explaining on average 4.3% of phenotypic variance. In 24 cases, more variance is explained by the interaction than their additive contributions. Using molecular phenotypes in this way may provide a route to uncovering genetic interactions underlying more complex traits. DOI: http://dx.doi.org/10.7554/eLife.01381.001 PMID:24771767

  13. Recessive cancer genes engage in negative genetic interactions with their functional paralogs.

    PubMed

    D'Antonio, Matteo; Guerra, Rosalinda F; Cereda, Matteo; Marchesi, Stefano; Montani, Francesca; Nicassio, Francesco; Di Fiore, Pier Paolo; Ciccarelli, Francesca D

    2013-12-26

    Cancer genetic heterogeneity offers a wide repertoire of molecular determinants to be screened as therapeutic targets. Here, we identify potential anticancer targets by exploiting negative genetic interactions between genes with driver loss-of-function mutations (recessive cancer genes) and their functionally redundant paralogs. We identify recessive genes with additional copies and experimentally test our predictions on three paralogous pairs. We confirm digenic negative interactions between two cancer genes (SMARCA4 and CDH1) and their corresponding paralogs (SMARCA2 and CDH3). Furthermore, we identify a trigenic negative interaction between the cancer gene DNMT3A, its functional paralog DNMT3B, and a third gene, DNMT1, which encodes the only other human DNA-methylase domain. Although our study does not exclude other causes of synthetic lethality, it suggests that functionally redundant paralogs of cancer genes could be targets in anticancer therapy.

  14. Allele-specific marker development and selection efficiencies for both flavonoid 3'-hydroxylase and flavonoid 3',5'-hydroxylase genes in soybean subgenus soja.

    PubMed

    Guo, Yong; Qiu, Li-Juan

    2013-06-01

    Color is one of the phenotypic markers mostly used to study soybean (Glycine max L. Merr.) genetic, molecular and biochemical processes. Two P450-dependent mono-oxygenases, flavonoid 3'-hydroxylase (F3'H; EC1.14.3.21) and flavonoid 3',5'-hydroxylase (F3'5'H, EC1.14.13.88), both catalyzing the hydroxylation of the B-ring in flavonoids, play an important role in coloration. Previous studies showed that the T locus was a gene encoding F3'H and the W1 locus co-segregated with a gene encoding F3'5'H in soybean. These two genetic loci have identified to control seed coat, flower and pubescence colors. However, the allelic distributions of both F3'H and F3'5'H genes in soybean were unknown. In this study, three novel alleles were identified (two of four alleles for GmF3'H and one of three alleles for GmF3'5'H). A set of gene-tagged markers was developed and verified based on the sequence diversity of all seven alleles. Furthermore, the markers were used to analyze soybean accessions including 170 cultivated soybeans (G. max) from a mini core collection and 102 wild soybeans (G. soja). For both F3'H and F3'5'H, the marker selection efficiencies for pubescence color and flower color were determined. The results showed that one GmF3'H allele explained 92.2 % of the variation in tawny and two gmf3'h alleles explained 63.8 % of the variation in gray pubescence colors. In addition, two GmF3'5'H alleles and one gmF3'5'h allele explained 94.0 % of the variation in purple and 75.3 % in white flowers, respectively. By the combination of the two loci, seed coat color was determined. In total, 90.9 % of accessions possessing both the gmf3'h-b and gmf3'5'h alleles had yellow seed coats. Therefore, seed coat colors are controlled by more than two loci.

  15. Alleles versus genotypes: Genetic interactions and the dynamics of selection in sexual populations

    NASA Astrophysics Data System (ADS)

    Neher, Richard

    2010-03-01

    Physical interactions between amino-acids are essential for protein structure and activity, while protein-protein interactions and regulatory interactions are central to cellular function. As a consequence of these interactions, the combined effect of two mutations can differ from the sum of the individual effects of the mutations. This phenomenon of genetic interaction is known as epistasis. However, the importance of epistasis and its effects on evolutionary dynamics are poorly understood, especially in sexual populations where recombination breaks up existing combinations of alleles to produce new ones. Here, we present a computational model of selection dynamics involving many epistatic loci in a recombining population. We demonstrate that a large number of polymorphic interacting loci can, despite frequent recombination, exhibit cooperative behavior that locks alleles into favorable genotypes leading to a population consisting of a set of competing clones. As the recombination rate exceeds a certain critical value this ``genotype selection'' phase disappears in an abrupt transition giving way to ``allele selection'' - the phase where different loci are only weakly correlated as expected in sexually reproducing populations. Clustering of interacting sets of genes on a chromosome leads to the emergence of an intermediate regime, where localized blocks of cooperating alleles lock into genetic modules. Large populations attain highest fitness at a recombination rate just below critical, suggesting that natural selection might tune recombination rates to balance the beneficial aspect of exploration of genotype space with the breaking up of synergistic allele combinations.

  16. Genetics of psoriasis: evidence for epistatic interaction between skin barrier abnormalities and immune deviation.

    PubMed

    Bergboer, Judith G M; Zeeuwen, Patrick L J M; Schalkwijk, Joost

    2012-10-01

    Psoriasis was until recently regarded as a T-cell-driven disease with presumed (auto)immune mechanisms as its primary cause. This view was supported by clinical data and genetic studies that identified risk factors functioning in adaptive and innate immunity, such as HLA-C*06, ERAP1, the IL-23 pathway, and NF-k B signaling. Candidate gene approaches and genome-wide association studies, however, have identified copy number polymorphisms of the b-defensin cluster and deletion of late cornified envelope (LCE) 3B and 3C genes (LCE3C_LCE3B-del) as psoriasis risk factors.As these genes are expressed in epithelial cells and not by the immune system, these findings may cause a change of paradigm for psoriasis, not unlike the reported filaggrin association that has profoundly changed the views on atopic dermatitis. In addition to genetic polymorphisms of the immune system, genetic variations affecting the skin barrier are likely to contribute to psoriasis. Recent studies have shown epistatic interactions involving HLA-C*06, ERAP1, and LCE3C_LCE3B-del, which makes psoriasis a unique model to investigate genetic and biological interactions of associated genes in a complex disease. We present a model for disease initiation and perpetuation, which integrates the available genetic, immunobiological, and clinical data.

  17. Antagonistic interactions peak at intermediate genetic distance in clinical and laboratory strains of Pseudomonas aeruginosa

    PubMed Central

    2012-01-01

    Background Bacteria excrete costly toxins to defend their ecological niche. The evolution of such antagonistic interactions between individuals is expected to depend on both the social environment and the strength of resource competition. Antagonism is expected to be weak among highly similar genotypes because most individuals are immune to antagonistic agents and among dissimilar genotypes because these are unlikely to be competing for the same resources and antagonism should not yield much benefit. The strength of antagonism is therefore expected to peak at intermediate genetic distance. Results We studied the ability of laboratory strains of Pseudomonas aeruginosa to prevent growth of 55 different clinical P. aeruginosa isolates derived from cystic fibrosis patients. Genetic distance was determined using genetic fingerprints. We found that the strength of antagonism was maximal among genotypes of intermediate genetic distance and we show that genetic distance and resource use are linked. Conclusions Our results suggest that the importance of social interactions like antagonism may be modulated by the strength of resource competition. PMID:22439760

  18. Inferring Genetic Interactions via a Data-Driven Second Order Model

    PubMed Central

    Jiang, Ci-Ren; Hung, Ying-Chao; Chen, Chung-Ming; Shieh, Grace S.

    2012-01-01

    Genetic/transcriptional regulatory interactions are shown to predict partial components of signaling pathways, which have been recognized as vital to complex human diseases. Both activator (A) and repressor (R) are known to coregulate their common target gene (T). Xu et al. (2002) proposed to model this coregulation by a fixed second order response surface (called the RS algorithm), in which T is a function of A, R, and AR. Unfortunately, the RS algorithm did not result in a sufficient number of genetic interactions (GIs) when it was applied to a group of 51 yeast genes in a pilot study. Thus, we propose a data-driven second order model (DDSOM), an approximation to the non-linear transcriptional interactions, to infer genetic and transcriptional regulatory interactions. For each triplet of genes of interest (A, R, and T), we regress the expression of T at time t + 1 on the expression of A, R, and AR at time t. Next, these well-fitted regression models (viewed as points in R3) are collected, and the center of these points is used to identify triples of genes having the A-R-T relationship or GIs. The DDSOM and RS algorithms are first compared on inferring transcriptional compensation interactions of a group of yeast genes in DNA synthesis and DNA repair using microarray gene expression data; the DDSOM algorithm results in higher modified true positive rate (about 75%) than that of the RS algorithm, checked against quantitative RT-polymerase chain reaction results. These validated GIs are reported, among which some coincide with certain interactions in DNA repair and genome instability pathways in yeast. This suggests that the DDSOM algorithm has potential to predict pathway components. Further, both algorithms are applied to predict transcriptional regulatory interactions of 63 yeast genes. Checked against the known transcriptional regulatory interactions queried from TRANSFAC, the proposed also performs better than the RS algorithm. PMID:22563331

  19. A-1012G promoter polymorphism of vitamin D receptor gene is associated with psoriasis risk and lower allele-specific expression.

    PubMed

    Richetta, Antonio Giovanni; Silvestri, Valentina; Giancristoforo, Simona; Rizzolo, Piera; D'Epiro, Sara; Graziano, Veronica; Mattozzi, Carlo; Navazio, Anna Sara; Campoli, Marco; D'Amico, Cristina; Scarnò, Marco; Calvieri, Stefano; Ottini, Laura

    2014-02-01

    Psoriasis is caused by a combination of genetic, immunologic, and environmental factors. The vitamin D receptor (VDR) is involved in antiproliferative and prodifferentiation pathways in keratinocytes and exerts immunosuppressive effects. We aimed to investigate possible associations between VDR polymorphisms and psoriasis susceptibility and to evaluate functional effects of potential psoriasis-associated polymorphisms. We genotyped 108 patients with psoriasis and 268 healthy controls at 5 VDR polymorphisms (A-1012G, FokI, BsmI, ApaI, and TaqI) by TaqMan allelic-discrimination real-time polymerase chain reaction. We found a significant increased overall risk of psoriasis for the VDR A-1012G promoter polymorphism (odds ratio [OR]=2.43, 95% confidence interval [CI]: 1.15-5.13; p=0.05). A significant higher frequency (p=0.035) of the A allele was found in psoriatic cases compared with controls. In a case-case analysis, a statistically significant association between A-1012G and family history emerged (p=0.033). Furthermore, a significant association of A-1012G risk genotypes with a lower expression of VDR mRNA emerged (p=0.0028). Our data show that VDR promoter A-1012G polymorphism is associated with psoriasis risk and suggest that this polymorphism may modulate psoriasis risk by affecting VDR expression.

  20. Impriniting of human H19: Allele-specific CpG methylation, loss of the active allele in Wilms tumor, and potential for somatic allele switching

    SciTech Connect

    Zhang, Y.; Shields, T.; Crenshaw, T.; Hao, Y.; Moulton, T.; Tycko, B. )

    1993-07-01

    Genomic imprinting and monoallelic gene expression appear to play a role in human genetic disease and tumorigenesis. The human H19 gene, at chromosome 11p15, has previously been shown to be monoallelically expressed. Since CpG methylation has been implicated in imprinting, the authors analyzed methylation of H19 DNA. In fetal and adult organs the transcriptionally silent H19 allele was extensively hypermethylated through the entire gene and its promoter, and, consistent with a functional role for DNA methylation, expression of an H19 promoter-reporter construct was inhibited by in vitro methylation. Gynogenetic ovarian teratomas were found to contain only hypomethylated H19 DNA, suggesting that the expressed H19 allele might be maternal. This was confirmed by analysis of 11p15 polymorphisms in a patient with Wilms tumor. The tumor had lost the maternal 11p15, and H19 expression in the normal kidney was exclusively from this allele. Imprinting of human H19 appears to be susceptible to tissue-specific modulation in somatic development; in one individual, cerebellar cells were found to express only the otherwise silent allele. Implications of these findings for the role of DNA methylation in imprinting and for H19 as a candidate imprinted tumor-suppressor gene are discussed. 57 refs., 7 figs.

  1. Genotype by feeding system interaction in the genetic evaluation of Jersey cattle for milk yield.

    PubMed

    Ramírez-Valverde, R; Peralta-Aban, J A; Núñez-Domínguez, R; Ruíz-Flores, A; García-Muñiz, J G; García-Peniche, T B

    2010-12-01

    Results of studies in dairy cattle about the magnitude of the genotype-environment interaction (GEI) are variable, depending on the definitions of genotype and environment. Therefore, the objective of this study was to determine the magnitude of the interaction of genotype and feeding system (confinement and grazing) in the Mexican genetic evaluation of Jersey cattle for milk yield. The number of lactations and animals in the pedigree used were 5122 and 18 432. An animal model and the MTDFREML program were used to estimate genetic parameters and predict genetic values of the animals. Bivariate analysis was carried out considering the performance of confined and grazing cows as two different traits. Three indicator variables were used to assess GEI: (i) magnitude of the genetic correlation coefficients, (ii) correlation between predicted breeding values and (iii) frequency of coincidence in the ranking of top sires. The magnitude of GEI depended on the choice of the indicator variable. The estimate of genetic correlation coefficient less than unity (0.76; P < 0.05) suggested the presence of biologically important GEI. The differences in phenotypic averages and variances between confinement and grazing systems seem to be the main causes for the genotype by environment interaction detected. However, the correlation coefficient between breeding values from confined and grazing animals (0.96) and the frequency of coincidence between breeding values of common sires within the top 100 in confinement and grazing (0.86) indicated low-to-moderate re-ranking of animals or top sires. In addition, the high correlations between predicted breeding values of Mexican genetic evaluation and the two environments (0.99 and 0.93 for confinement and grazing) indicated that for the two feeding systems, breeding values from national analyses could be safely used.

  2. The evolution of interacting phenotypes: genetics and evolution of social dominance.

    PubMed

    Moore, Allen J; Haynes, Kenneth F; Preziosi, Richard F; Moore, Patricia J

    2002-12-01

    Although the argument over genetic influences on social dominance is contentious, genetic models of interacting phenotypes provide a theoretical framework for heritable effects on, and therefore evolution of, social behavior. Here we adapt the interacting phenotype model to show how social dominance can evolve. Our model makes a number of predictions: rapid evolution of behavior, strong correlated responses in associated traits (such as a badge of status), and, because context is important for social dominance, integrated evolution of both dominant and subordinate behavior reflecting direct and indirect genetic effects and social selection. We also describe the results of empirical work, artificial selection based on social status within a hierarchy in the cockroach Nauphoeta cinerea, that we used to test the predictions of our model. There was little change within selection lines in the expression of agonistic behavior, but by just generation 7 of selection, in comparisons between lines, high-line males consistently dominated low and control males, while low-line males were consistently subordinate to high-line and control males. There was a strong correlated response to selection in the pheromonal badge of status. Some correlated responses to selection differed among replicate lines, with the compound that makes males subordinate changed in one replicate, while the compound that confers dominance was altered in the other. Overall, our results are consistent with predictions from models of interacting phenotypes: social dominance is influenced by additive genetic variation, can evolve as a result of social selection, and evolution of social interactions appears to be rapid. Finally, different responses in the replicates allowed us to test very specific predictions regarding the role of the social pheromone in N. cinerea, highlighting the value of artificial selection experiments as a tool in evolutionary behavioral genetic studies.

  3. Unraveling the environmental and genetic interactions in atherosclerosis: Central role of the gut microbiota

    PubMed Central

    Org, Elin; Mehrabian, Margarete; Lusis, Aldons J.

    2015-01-01

    Recent studies have convincingly linked gut microbiota to traits relevant to atherosclerosis, such as insulin resistance, dyslipidemia and inflammation, and have revealed novel disease pathways involving microbe-derived metabolites. These results have important implications for understanding how environmental and genetic factors act together to influence cardiovascular disease (CVD) risk. Thus, dietary constituents are not only absorbed and metabolized by the host but they also perturb the gut microbiota, which in turn influence host metabolism and inflammation. It also appears that host genetics helps to shape the gut microbiota community. Here, we discuss challenges in understanding these interactions and the role they play in CVD. PMID:26071662

  4. Unraveling the environmental and genetic interactions in atherosclerosis: Central role of the gut microbiota.

    PubMed

    Org, Elin; Mehrabian, Margarete; Lusis, Aldons J

    2015-08-01

    Recent studies have convincingly linked gut microbiota to traits relevant to atherosclerosis, such as insulin resistance, dyslipidemia and inflammation, and have revealed novel disease pathways involving microbe-derived metabolites. These results have important implications for understanding how environmental and genetic factors act together to influence cardiovascular disease (CVD) risk. Thus, dietary constituents are not only absorbed and metabolized by the host but they also perturb the gut microbiota, which in turn influence host metabolism and inflammation. It also appears that host genetics helps to shape the gut microbiota community. Here, we discuss challenges in understanding these interactions and the role they play in CVD.

  5. Identification of new primer binding site mutations at TH01 and D13S317 loci and determination of their corresponding STR alleles by allele-specific PCR.

    PubMed

    Li, Fengrui; Xuan, Jinfeng; Xing, Jiaxin; Ding, Mei; Wang, Baojie; Pang, Hao

    2014-01-01

    Several commercial multiplex PCR kits for the amplification of short tandem repeat (STR) loci have been extensively applied in forensic genetics. Consequently, large numbers of samples have been genotyped, and the number of discordant genotypes observed has also increased. We observed allele dropout with two novel alleles at the STR loci TH01 and D13S317 during paternity testing using the AmpFℓSTR Identifiler PCR Amplification Kit. The lost alleles reappeared when alternative PCR primer pairs were used. A sequence analysis revealed a G-to-A substitution 82 bases downstream of the last TCAT motif of the repeat region at the TH01 locus (GenBank accession: D00269) and a G-to-T substitution 90 bases upstream of the first TATC motif of the repeat region at the D13S317 locus (GenBank accession: G09017). The frequencies of these two point mutations were subsequently investigated in the Chinese population using sequence-specific primer PCR (SSP-PCR), but neither of these mutations was detected in any of the samples tested. In addition, the DNA samples in which the mutations were identified were amplified to type the point mutations by SSP-PCR to determine the corresponding STR alleles at the two loci. Subsequently, the amplified PCR products with different point mutations and STR repeat numbers were directly sequenced because this strategy overcomes the appearance overlapping peaks generated by different STR alleles and accurately characterizes genotypes. Thus, our findings not only provide useful information for DNA databases and forensic identification but also establish an effective strategy for typing STR alleles with primer binding site mutations.

  6. Genetics

    MedlinePlus

    ... Inheritance; Heterozygous; Inheritance patterns; Heredity and disease; Heritable; Genetic markers ... The chromosomes are made up of strands of genetic information called DNA. Each chromosome contains sections of ...

  7. High frequency and allele-specific differences of BRCA1 founder mutations in breast cancer and ovarian cancer patients from Belarus.

    PubMed

    Bogdanova, N V; Antonenkova, N N; Rogov, Y I; Karstens, J H; Hillemanns, P; Dörk, T

    2010-10-01

    identify three BRCA1 founder mutations as key components of inherited breast and ovarian cancer susceptibility in Belarus and might have implications for cancer prevention, treatment and genetic counselling in this population.

  8. Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions

    PubMed Central

    Grubert, Fabian; Zaugg, Judith B.; Kasowski, Maya; Ursu, Oana; Spacek, Damek V.; Martin, Alicia R.; Greenside, Peyton; Srivas, Rohith; Phanstiel, Doug H.; Pekowska, Aleksandra; Heidari, Nastaran; Euskirchen, Ghia; Huber, Wolfgang; Pritchard, Jonathan K.; Bustamante, Carlos D.; Steinmetz, Lars M.; Kundaje, Anshul; Snyder, Michael

    2015-01-01

    SUMMARY Deciphering the impact of genetic variants on gene regulation is fundamental to understanding human disease. Although gene regulation often involves long-range interactions, it is unknown to what extent non-coding genetic variants influence distal molecular phenotypes. Here, we integrate chromatin profiling for three histone marks in lymphoblastoid cell lines (LCLs) from 75 sequenced individuals with LCL-specific Hi-C and ChIA-PET-based chromatin contact maps to uncover one of the largest collections of local and distal histone quantitative trait loci (hQTLs). Distal QTLs are enriched within topologically associated domains and exhibit largely concordant variation of chromatin state coordinated by proximal and distal non-coding genetic variants. Histone QTLs are enriched for common variants associated with autoimmune diseases and enable identification of putative target genes of disease-associated variants from genome-wide association studies. These analyses provide insights into how genetic variation can affect human disease phenotypes by coordinated changes in chromatin at interacting regulatory elements. PMID:26300125

  9. Relevance of Bt toxin interaction studies for environmental risk assessment of genetically modified crops.

    PubMed

    De Schrijver, Adinda; De Clercq, Patrick; de Maagd, Ruud A; van Frankenhuyzen, Kees

    2015-12-01

    In recent years, different Bacillus thuringiensis (Bt) toxin-encoding genes have been combined or 'stacked' in genetically modified (GM) crops. Synergism between Bt proteins may occur and thereby increase the impact of the stacked GM event on nontarget invertebrates compared to plants expressing a single Bt gene. On the basis of bioassay data available for Bt toxins alone or in combination, we argue that the current knowledge of Bt protein interactions is of limited relevance in environmental risk assessment (ERA).

  10. Quantitative Chemical-Genetic Interaction Map Connects Gene Alterations to Drug Responses | Office of Cancer Genomics

    Cancer.gov

    In a recent Cancer Discovery report, CTD2 researchers at the University of California in San Francisco developed a new quantitative chemical-genetic interaction mapping approach to evaluate drug sensitivity or resistance in isogenic cell lines. Performing a high-throughput screen with isogenic cell lines allowed the researchers to explore the impact of a panel of emerging and established drugs on cells overexpressing a single cancer-associated gene in isolation.

  11. Collective Genetic Interaction Effects and the Role of Antigen-Presenting Cells in Autoimmune Diseases

    PubMed Central

    Woo, Hyung Jun; Yu, Chenggang; Reifman, Jaques

    2017-01-01

    Autoimmune diseases occur when immune cells fail to develop or lose their tolerance toward self and destroy body’s own tissues. Both insufficient negative selection of self-reactive T cells and impaired development of regulatory T cells preventing effector cell activation are believed to contribute to autoimmunity. Genetic predispositions center around the major histocompatibility complex (MHC) class II loci involved in antigen presentation, the key determinant of CD4+ T cell activation. Recent studies suggested that variants in the MHC region also exhibit significant non-additive interaction effects. However, collective interactions involving large numbers of single nucleotide polymorphisms (SNPs) contributing to such effects are yet to be characterized. In addition, relatively little is known about the cell-type-specificity of such interactions in the context of cellular pathways. Here, we analyzed type 1 diabetes (T1D) and rheumatoid arthritis (RA) genome-wide association data sets via large-scale, high-performance computations and inferred collective interaction effects involving MHC SNPs using the discrete discriminant analysis. Despite considerable differences in the details of SNP interactions in T1D and RA data, the enrichment pattern of interacting pairs in reference epigenomes was remarkably similar: statistically significant interactions were epigenetically active in cell-type combinations connecting B cells to T cells and intestinal epithelial cells, with both helper and regulatory T cells showing strong disease-associated interactions with B cells. Our results provide direct genetic evidence pointing to the important roles B cells play as antigen-presenting cells toward CD4+ T cells in the context of central and peripheral tolerance. In addition, they are consistent with recent experimental studies suggesting that the repertoire of B cell-specific self-antigens in the thymus are critical to the effective control of corresponding autoimmune activation

  12. Genetic diversity of Arcobacter isolated from bivalves of Adriatic and their interactions with Mytilus galloprovincialis hemocytes.

    PubMed

    Ottaviani, Donatella; Mosca, Francesco; Chierichetti, Serena; Tiscar, Pietro Giorgio; Leoni, Francesca

    2017-02-01

    The human food-borne pathogens Arcobacter butzleri and A. cryaerophilus have been frequently isolated from the intestinal tracts and fecal samples of different farm animals and, after excretion, these microorganisms can contaminate the environment, including the aquatic one. In this regard, A. butzleri and A. cryaerophilus have been detected in seawater and bivalves of coastal areas which are affected by fecal contamination. The capability of bivalve hemocytes to interact with bacteria has been proposed as the main factor inversely conditioning their persistence in the bivalve. In this study, 12 strains of Arcobacter spp. were isolated between January and May 2013 from bivalves of Central Adriatic Sea of Italy in order to examine their genetic diversity as well as in vitro interactions with bivalve components of the immune response, such as hemocytes. Of these, seven isolates were A. butzleri and five A. cryaerophilus, and were genetically different. All strains showed ability to induce spreading and respiratory burst of Mytilus galloprovincialis hemocytes. Overall, our data demonstrate the high genetic diversity of these microorganisms circulating in the marine study area. Moreover, the Arcobacter-bivalve interaction suggests that they do not have a potential to persist in the tissues of M. galloprovincialis.

  13. Social evolution and genetic interactions in the short and long term.

    PubMed

    Van Cleve, Jeremy

    2015-08-01

    The evolution of social traits remains one of the most fascinating and feisty topics in evolutionary biology even after half a century of theoretical research. W.D. Hamilton shaped much of the field initially with his 1964 papers that laid out the foundation for understanding the effect of genetic relatedness on the evolution of social behavior. Early theoretical investigations revealed two critical assumptions required for Hamilton's rule to hold in dynamical models: weak selection and additive genetic interactions. However, only recently have analytical approaches from population genetics and evolutionary game theory developed sufficiently so that social evolution can be studied under the joint action of selection, mutation, and genetic drift. We review how these approaches suggest two timescales for evolution under weak mutation: (i) a short-term timescale where evolution occurs between a finite set of alleles, and (ii) a long-term timescale where a continuum of alleles are possible and populations evolve continuously from one monomorphic trait to another. We show how Hamilton's rule emerges from the short-term analysis under additivity and how non-additive genetic interactions can be accounted for more generally. This short-term approach reproduces, synthesizes, and generalizes many previous results including the one-third law from evolutionary game theory and risk dominance from economic game theory. Using the long-term approach, we illustrate how trait evolution can be described with a diffusion equation that is a stochastic analogue of the canonical equation of adaptive dynamics. Peaks in the stationary distribution of the diffusion capture classic notions of convergence stability from evolutionary game theory and generally depend on the additive genetic interactions inherent in Hamilton's rule. Surprisingly, the peaks of the long-term stationary distribution can predict the effects of simple kinds of non-additive interactions. Additionally, the peaks

  14. Genome-Wide Scoring of Positive and Negative Epistasis through Decomposition of Quantitative Genetic Interaction Fitness Matrices

    PubMed Central

    Lindroos, Anna; Kanerva, Mirella; Aittokallio, Tero

    2010-01-01

    Recent technological developments in genetic screening approaches have offered the means to start exploring quantitative genotype-phenotype relationships on a large-scale. What remains unclear is the extent to which the quantitative genetic interaction datasets can distinguish the broad spectrum of interaction classes, as compared to existing information on mutation pairs associated with both positive and negative interactions, and whether the scoring of varying degrees of such epistatic effects could be improved by computational means. To address these questions, we introduce here a computational approach for improving the quantitative discrimination power encoded in the genetic interaction screening data. Our matrix approximation model decomposes the original double-mutant fitness matrix into separate components, representing variability across the array and query mutants, which can be utilized for estimating and correcting the single-mutant fitness effects, respectively. When applied to three large-scale quantitative interaction datasets in yeast, we could improve the accuracy of scoring various interaction classes beyond that obtained with the original fitness data, especially in synthetic genetic array (SGA) and in genetic interaction mapping (GIM) datasets. In addition to the known pairs of interactions used in the evaluation of the computational approach, a number of novel interaction pairs were also predicted, along with underlying biological mechanisms, which remained undetected by the original datasets. It was shown that the optimal choice of the scoring function depends heavily on the screening approach and on the interaction class under analysis. Moreover, a simple preprocessing of the fitness matrix could further enhance the discrimination power of the epistatic miniarray profiling (E-MAP) dataset. These systematic evaluation results provide in-depth information on the optimal analysis of the future, large-scale screening experiments. In general, the

  15. TheCellMap.org: A Web-Accessible Database for Visualizing and Mining the Global Yeast Genetic Interaction Network.

    PubMed

    Usaj, Matej; Tan, Yizhao; Wang, Wen; VanderSluis, Benjamin; Zou, Albert; Myers, Chad L; Costanzo, Michael; Andrews, Brenda; Boone, Charles

    2017-03-21

    Providing access to quantitative genomic data is key to ensure large-scale data validation and promote new discoveries. TheCellMap.org serves as a central repository for storing and analyzing quantitative genetic interaction data produced by genome-scale Synthetic Genetic Array (SGA) experiments with the budding yeast Saccharomyces cerevisiae In particular, TheCellMap.org allows users to easily access, visualize, explore and functionally annotate genetic interactions, or to extract and reorganize sub-networks, using data-driven network layouts in an intuitive and interactive manner.

  16. Identification of New Genetic Susceptibility Loci for Breast Cancer Through Consideration of Gene-Environment Interactions

    PubMed Central

    Schoeps, Anja; Rudolph, Anja; Seibold, Petra; Dunning, Alison M.; Milne, Roger L.; Bojesen, Stig E.; Swerdlow, Anthony; Andrulis, Irene; Brenner, Hermann; Behrens, Sabine; Orr, Nicholas; Jones, Michael; Ashworth, Alan; Li, Jingmei; Cramp, Helen; Connley, Dan; Czene, Kamila; Darabi, Hatef; Chanock, Stephen J.; Lissowska, Jolanta; Figueroa, Jonine D.; Knight, Julia; Glendon, Gord; Mulligan, Anna M.; Dumont, Martine; Severi, Gianluca; Baglietto, Laura; Olson, Janet; Vachon, Celine; Purrington, Kristen; Moisse, Matthieu; Neven, Patrick; Wildiers, Hans; Spurdle, Amanda; Kosma, Veli-Matti; Kataja, Vesa; Hartikainen, Jaana M.; Hamann, Ute; Ko, Yon-Dschun; Dieffenbach, Aida K.; Arndt, Volker; Stegmaier, Christa; Malats, Núria; Arias Perez, JoséI.; Benítez, Javier; Flyger, Henrik; Nordestgaard, Børge G.; Truong, Théresè; Cordina-Duverger, Emilie; Menegaux, Florence; Silva, Isabel dos Santos; Fletcher, Olivia; Johnson, Nichola; Häberle, Lothar; Beckmann, Matthias W.; Ekici, Arif B.; Braaf, Linde; Atsma, Femke; van den Broek, Alexandra J.; Makalic, Enes; Schmidt, Daniel F.; Southey, Melissa C.; Cox, Angela; Simard, Jacques; Giles, Graham G.; Lambrechts, Diether; Mannermaa, Arto; Brauch, Hiltrud; Guénel, Pascal; Peto, Julian; Fasching, Peter A.; Hopper, John; Flesch-Janys, Dieter; Couch, Fergus; Chenevix-Trench, Georgia; Pharoah, Paul D. P.; Garcia-Closas, Montserrat; Schmidt, Marjanka K.; Hall, Per; Easton, Douglas F.; Chang-Claude, Jenny

    2014-01-01

    Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10−07), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m2 (OR = 1.26, 95% CI 1.15–1.38) but not in women with a BMI of 30 kg/m2 or higher (OR = 0.89, 95% CI 0.72–1.11, P for interaction = 3.2 × 10−05). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci. PMID:24248812

  17. Genetic interactions between planar cell polarity genes cause diverse neural tube defects in mice.

    PubMed

    Murdoch, Jennifer N; Damrau, Christine; Paudyal, Anju; Bogani, Debora; Wells, Sara; Greene, Nicholas D E; Stanier, Philip; Copp, Andrew J

    2014-10-01

    Neural tube defects (NTDs) are among the commonest and most severe forms of developmental defect, characterized by disruption of the early embryonic events of central nervous system formation. NTDs have long been known to exhibit a strong genetic dependence, yet the identity of the genetic determinants remains largely undiscovered. Initiation of neural tube closure is disrupted in mice homozygous for mutations in planar cell polarity (PCP) pathway genes, providing a strong link between NTDs and PCP signaling. Recently, missense gene variants have been identified in PCP genes in humans with NTDs, although the range of phenotypes is greater than in the mouse mutants. In addition, the sequence variants detected in affected humans are heterozygous, and can often be detected in unaffected individuals. It has been suggested that interactions between multiple heterozygous gene mutations cause the NTDs in humans. To determine the phenotypes produced in double heterozygotes, we bred mice with all three pairwise combinations of Vangl2(Lp), Scrib(Crc) and Celsr1(Crsh) mutations, the most intensively studied PCP mutants. The majority of double-mutant embryos had open NTDs, with the range of phenotypes including anencephaly and spina bifida, therefore reflecting the defects observed in humans. Strikingly, even on a uniform genetic background, variability in the penetrance and severity of the mutant phenotypes was observed between the different double-heterozygote combinations. Phenotypically, Celsr1(Crsh);Vangl2(Lp);Scrib(Crc) triply heterozygous mutants were no more severe than doubly heterozygous or singly homozygous mutants. We propose that some of the variation between double-mutant phenotypes could be attributed to the nature of the protein disruption in each allele: whereas Scrib(Crc) is a null mutant and produces no Scrib protein, Celsr1(Crsh) and Vangl2(Lp) homozygotes both express mutant proteins, consistent with dominant effects. The variable outcomes of these genetic

  18. Genetic interactions between planar cell polarity genes cause diverse neural tube defects in mice

    PubMed Central

    Murdoch, Jennifer N.; Damrau, Christine; Paudyal, Anju; Bogani, Debora; Wells, Sara; Greene, Nicholas D. E.; Stanier, Philip; Copp, Andrew J.

    2014-01-01

    Neural tube defects (NTDs) are among the commonest and most severe forms of developmental defect, characterized by disruption of the early embryonic events of central nervous system formation. NTDs have long been known to exhibit a strong genetic dependence, yet the identity of the genetic determinants remains largely undiscovered. Initiation of neural tube closure is disrupted in mice homozygous for mutations in planar cell polarity (PCP) pathway genes, providing a strong link between NTDs and PCP signaling. Recently, missense gene variants have been identified in PCP genes in humans with NTDs, although the range of phenotypes is greater than in the mouse mutants. In addition, the sequence variants detected in affected humans are heterozygous, and can often be detected in unaffected individuals. It has been suggested that interactions between multiple heterozygous gene mutations cause the NTDs in humans. To determine the phenotypes produced in double heterozygotes, we bred mice with all three pairwise combinations of Vangl2Lp, ScribCrc and Celsr1Crsh mutations, the most intensively studied PCP mutants. The majority of double-mutant embryos had open NTDs, with the range of phenotypes including anencephaly and spina bifida, therefore reflecting the defects observed in humans. Strikingly, even on a uniform genetic background, variability in the penetrance and severity of the mutant phenotypes was observed between the different double-heterozygote combinations. Phenotypically, Celsr1Crsh;Vangl2Lp;ScribCrc triply heterozygous mutants were no more severe than doubly heterozygous or singly homozygous mutants. We propose that some of the variation between double-mutant phenotypes could be attributed to the nature of the protein disruption in each allele: whereas ScribCrc is a null mutant and produces no Scrib protein, Celsr1Crsh and Vangl2Lp homozygotes both express mutant proteins, consistent with dominant effects. The variable outcomes of these genetic interactions are

  19. Mapping the genetic basis of symbiotic variation in legume-rhizobium interactions in Medicago truncatula.

    PubMed

    Gorton, Amanda J; Heath, Katy D; Pilet-Nayel, Marie-Laure; Baranger, Alain; Stinchcombe, John R

    2012-11-01

    Mutualisms are known to be genetically variable, where the genotypes differ in the fitness benefits they gain from the interaction. To date, little is known about the loci that underlie such genetic variation in fitness or whether the loci influencing fitness are partner specific, and depend on the genotype of the interaction partner. In the legume-rhizobium mutualism, one set of potential candidate genes that may influence the fitness benefits of the symbiosis are the plant genes involved in the initiation of the signaling pathway between the two partners. Here we performed quantitative trait loci (QTL) mapping in Medicago truncatula in two different rhizobium strain treatments to locate regions of the genome influencing plant traits, assess whether such regions are dependent on the genotype of the rhizobial mutualist (QTL × rhizobium strain), and evaluate the contribution of sequence variation at known symbiosis signaling genes. Two of the symbiotic signaling genes, NFP and DMI3, colocalized with two QTL affecting average fruit weight and leaf number, suggesting that natural variation in nodulation genes may potentially influence plant fitness. In both rhizobium strain treatments, there were QTL that influenced multiple traits, indicative of either tight linkage between loci or pleiotropy, including one QTL with opposing effects on growth and reproduction. There was no evidence for QTL × rhizobium strain or genotype × genotype interactions, suggesting either that such interactions are due to small-effect loci or that more genotype-genotype combinations need to be tested in future mapping studies.

  20. Genetic mapping of social interaction behavior in B6/MSM consomic mouse strains.

    PubMed

    Takahashi, Aki; Tomihara, Kazuya; Shiroishi, Toshihiko; Koide, Tsuyoshi

    2010-05-01

    Genetic studies are indispensable for understanding the mechanisms by which individuals develop differences in social behavior. We report genetic mapping of social interaction behavior using inter-subspecific consomic strains established from MSM/Ms (MSM) and C57BL/6J (B6) mice. Two animals of the same strain and sex, aged 10 weeks, were introduced into a novel open-field for 10 min. Social contact was detected by an automated system when the distance between the centers of the two animals became less than approximately 12 cm. In addition, detailed behavioral observations were made of the males. The wild-derived mouse strain MSM showed significantly longer social contact as compared to B6. Analysis of the consomic panel identified two chromosomes (Chr 6 and Chr 17) with quantitative trait loci (QTL) responsible for lengthened social contact in MSM mice and two chromosomes (Chr 9 and Chr X) with QTL that inhibited social contact. Detailed behavioral analysis of males identified four additional chromosomes associated with social interaction behavior. B6 mice that contained Chr 13 from MSM showed more genital grooming and following than the parental B6 strain, whereas the presence of Chr 8 and Chr 12 from MSM resulted in a reduction of those behaviors. Longer social sniffing was observed in Chr 4 consomic strain than in B6 mice. Although the frequency was low, aggressive behavior was observed in a few pairs from consomic strains for Chrs 4, 13, 15 and 17, as well as from MSM. The social interaction test has been used as a model to measure anxiety, but genetic correlation analysis suggested that social interaction involves different aspects of anxiety than are measured by open-field test.

  1. Complex genetic, photothermal, and photoacoustic analysis of nanoparticle-plant interactions.

    PubMed

    Khodakovskaya, Mariya V; de Silva, Kanishka; Nedosekin, Dmitry A; Dervishi, Enkeleda; Biris, Alexandru S; Shashkov, Evgeny V; Galanzha, Ekaterina I; Zharov, Vladimir P

    2011-01-18

    Understanding the nature of interactions between engineered nanomaterials and plants is crucial in comprehending the impact of nanotechnology on the environment and agriculture with a focus on toxicity concerns, plant disease treatment, and genetic engineering. To date, little progress has been made in studying nanoparticle-plant interactions at single nanoparticle and genetic levels. Here, we introduce an advanced platform integrating genetic, Raman, photothermal, and photoacoustic methods. Using this approach, we discovered that multiwall carbon nanotubes induce previously unknown changes in gene expression in tomato leaves and roots, particularly, up-regulation of the stress-related genes, including those induced by pathogens and the water-channel LeAqp2 gene. A nano-bubble amplified photothermal/photoacoustic imaging, spectroscopy, and burning technique demonstrated the detection of multiwall carbon nanotubes in roots, leaves, and fruits down to the single nanoparticle and cell level. Thus, our integrated platform allows the study of nanoparticles' impact on plants with higher sensitivity and specificity, compared to existing assays.

  2. Complex genetic, photothermal, and photoacoustic analysis of nanoparticle-plant interactions

    PubMed Central

    Khodakovskaya, Mariya V.; de Silva, Kanishka; Nedosekin, Dmitry A.; Dervishi, Enkeleda; Biris, Alexandru S.; Shashkov, Evgeny V.; Galanzha, Ekaterina I.; Zharov, Vladimir P.

    2011-01-01

    Understanding the nature of interactions between engineered nanomaterials and plants is crucial in comprehending the impact of nanotechnology on the environment and agriculture with a focus on toxicity concerns, plant disease treatment, and genetic engineering. To date, little progress has been made in studying nanoparticle-plant interactions at single nanoparticle and genetic levels. Here, we introduce an advanced platform integrating genetic, Raman, photothermal, and photoacoustic methods. Using this approach, we discovered that multiwall carbon nanotubes induce previously unknown changes in gene expression in tomato leaves and roots, particularly, up-regulation of the stress-related genes, including those induced by pathogens and the water-channel LeAqp2 gene. A nano-bubble amplified photothermal/photoacoustic imaging, spectroscopy, and burning technique demonstrated the detection of multiwall carbon nanotubes in roots, leaves, and fruits down to the single nanoparticle and cell level. Thus, our integrated platform allows the study of nanoparticles’ impact on plants with higher sensitivity and specificity, compared to existing assays. PMID:21189303

  3. Developmental and genetic modulation of arsenic biotransformation: A gene by environment interaction?

    SciTech Connect

    Meza, Mercedes; Gandolfi, A. Jay; Klimecki, Walter T.

    2007-08-01

    The complexity of arsenic toxicology has confounded the identification of specific pathways of disease causation. One focal point of arsenic research is aimed at fully characterizing arsenic biotransformation in humans, a process that appears to be quite variable, producing a mixture of several arsenic species with greatly differing toxic potencies. In an effort to characterize genetic determinants of variability in arsenic biotransformation, a genetic association study of 135 subjects in western Sonora, Mexico was performed by testing 23 polymorphic sites in three arsenic biotransformation candidate genes. One gene, arsenic 3 methyltransferase (AS3MT), was strongly associated with the ratio of urinary dimethylarsinic acid to monomethylarsonic acid (D/M) in children (7-11 years) but not in adults (18-79 years). Subsequent analyses revealed that the high D/M values associated with variant AS3MT alleles were primarily due to lower levels of monomethylarsonic acid as percent of total urinary arsenic (%MMA5). In light of several reports of arsenic-induced disease being associated with relatively high %MMA5 levels, these findings raise the possibility that variant AS3MT individuals may suffer less risk from arsenic exposure than non-variant individuals. These analyses also provide evidence that, in this population, regardless of AS3MT variant status, children tend to have lower %MMA5 values than adults, suggesting that the global developmental regulation of arsenic biotransformation may interact with genetic variants in metabolic genes to result in novel genetic effects such as those in this report.

  4. Allele-specific disparity in breast cancer

    PubMed Central

    2011-01-01

    Background In a cancer cell the number of copies of a locus may vary due to amplification and deletion and these variations are denoted as copy number alterations (CNAs). We focus on the disparity of CNAs in tumour samples, which were compared to those in blood in order to identify the directional loss of heterozygosity. Methods We propose a numerical algorithm and apply it to data from the Illumina 109K-SNP array on 112 samples from breast cancer patients. B-allele frequency (BAF) and log R ratio (LRR) of Illumina were used to estimate Euclidian distances. For each locus, we compared genotypes in blood and tumour for subset of samples being heterozygous in blood. We identified loci showing preferential disparity from heterozygous toward either the A/B-allele homozygous (allelic disparity). The chi-squared and Cochran-Armitage trend tests were used to examine whether there is an association between high levels of disparity in single nucleotide polymorphisms (SNPs) and molecular, clinical and tumour-related parameters. To identify pathways and network functions over-represented within the resulting gene sets, we used Ingenuity Pathway Analysis (IPA). Results To identify loci with a high level of disparity, we selected SNPs 1) with a substantial degree of disparity and 2) with substantial frequency (at least 50% of the samples heterozygous for the respective locus). We report the overall difference in disparity in high-grade tumours compared to low-grade tumours (p-value < 0.001) and significant associations between disparity in multiple single loci and clinical parameters. The most significantly associated network functions within the genes represented in the loci of disparity were identified, including lipid metabolism, small-molecule biochemistry, and nervous system development and function. No evidence for over-representation of directional disparity in a list of stem cell genes was obtained, however genes appeared to be more often altered by deletion than by amplification. Conclusions Our data suggest that directional loss and amplification exist in breast cancer. These are highly associated with grade, which may indicate that they are enforced with increasing number of cell divisions. Whether there is selective pressure for some loci to be preferentially amplified or deleted remains to be confirmed. PMID:22188678

  5. Interactions among co-infecting parasite species: a mechanism maintaining genetic variation in parasites?

    PubMed

    Seppälä, Otto; Karvonen, Anssi; Valtonen, E Tellervo; Jokela, Jukka

    2009-02-22

    Individuals of free-living organisms are often infected simultaneously by a community of parasites. If the co-infecting parasites interact, then this can add significantly to the diversity of host genotypexparasite genotype interactions. However, interactions between parasite species are usually not examined considering potential variation in interactions between different strain combinations of co-infecting parasites. Here, we examined the importance of interactions between strains of fish eye flukes Diplostomum spathaceum and Diplostomum gasterostei on their infectivity in naive fish hosts. We assessed the infection success of strains of both species in single-strain exposures and in co-exposures with a random strain of the other species. Parasite infection success did not consistently increase or decrease in the co-exposure treatment, but depended on the combinations of co-infecting parasite strains. This disrupted the relative infectivity of D. spathaceum strains observed in single-strain exposures. The infection success of D. gasterostei strains was independent of exposure type. These results suggest that interactions among parasite species may be strain specific and potentially promote maintenance of genetic polymorphism in parasite populations.

  6. Meta-analysis of interaction between dietary magnesium intake and genetic risk variants on diabetes phenotypes in the charge consortium

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Little is known about whether genetic variation modifies the effect of magnesium (Mg) intake on two important diabetes risk factors: fasting glucose (FG) and insulin (FI). We examined interactions between dietary Mg and genetic variants associated with glucose (16 SNPs), insulin (2 SNPs), or Mg home...

  7. Genetic dissection of sleep-metabolism interactions in the fruit fly

    PubMed Central

    Yurgel, Maria E.; Masek, Pavel; DiAngelo, Justin; Keene, Alex C.

    2015-01-01

    Dysregulation of sleep and metabolism has enormous health consequences. Sleep loss is linked to increased appetite and insulin insensitivity, and epidemiological studies link chronic sleep deprivation to obesity-related disorders including type II diabetes and cardiovascular disease. Interactions between sleep and metabolism involve the integration of signaling from brain regions regulating sleep, feeding, and metabolic function. Investigating the relationship between these processes provides a model to address more general questions of how the brain prioritizes homeostatically regulated behaviors. The availability of powerful genetic tools in the fruit fly, Drosophila melanogaster, allows for precise manipulation of neural function in freely behaving animals. There is a strong conservation of genes and neural circuit principles regulating sleep and metabolic function, and genetic screens in fruit flies have been effective in identifying novel regulators of these processes. Here, we review recent findings in the fruit fly that further our understanding of how the brain modulates sleep in accordance with metabolic state. PMID:25236355

  8. Indirect genetic effects and kin recognition: estimating IGEs when interactions differ between kin and strangers.

    PubMed

    Alemu, S W; Berg, P; Janss, L; Bijma, P

    2014-02-01

    Social interactions among individuals are widespread, both in natural and domestic populations. As a result, trait values of individuals may be affected by genes in other individuals, a phenomenon known as indirect genetic effects (IGEs). IGEs can be estimated using linear mixed models. The traditional IGE model assumes that an individual interacts equally with all its partners, whether kin or strangers. There is abundant evidence, however, that individuals behave differently towards kin as compared with strangers, which agrees with predictions from kin-selection theory. With a mix of kin and strangers, therefore, IGEs estimated from a traditional model may be incorrect, and selection based on those estimates will be suboptimal. Here we investigate whether genetic parameters for IGEs are statistically identifiable in group-structured populations when IGEs differ between kin and strangers, and develop models to estimate such parameters. First, we extend the definition of total breeding value and total heritable variance to cases where IGEs depend on relatedness. Next, we show that the full set of genetic parameters is not identifiable when IGEs differ between kin and strangers. Subsequently, we present a reduced model that yields estimates of the total heritable effects on kin, on non-kin and on all social partners of an individual, as well as the total heritable variance for response to selection. Finally we discuss the consequences of analysing data in which IGEs depend on relatedness using a traditional IGE model, and investigate group structures that may allow estimation of the full set of genetic parameters when IGEs depend on kin.

  9. Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism

    PubMed Central

    Wildenhain, Jan; Spitzer, Michaela; Dolma, Sonam; Jarvik, Nick; White, Rachel; Roy, Marcia; Griffiths, Emma; Bellows, David S.; Wright, Gerard D.; Tyers, Mike

    2016-01-01

    The network structure of biological systems suggests that effective therapeutic intervention may require combinations of agents that act synergistically. However, a dearth of systematic chemical combination datasets have limited the development of predictive algorithms for chemical synergism. Here, we report two large datasets of linked chemical-genetic and chemical-chemical interactions in the budding yeast Saccharomyces cerevisiae. We screened 5,518 unique compounds against 242 diverse yeast gene deletion strains to generate an extended chemical-genetic matrix (CGM) of 492,126 chemical-gene interaction measurements. This CGM dataset contained 1,434 genotype-specific inhibitors, termed cryptagens. We selected 128 structurally diverse cryptagens and tested all pairwise combinations to generate a benchmark dataset of 8,128 pairwise chemical-chemical interaction tests for synergy prediction, termed the cryptagen matrix (CM). An accompanying database resource called ChemGRID was developed to enable analysis, visualisation and downloads of all data. The CGM and CM datasets will facilitate the benchmarking of computational approaches for synergy prediction, as well as chemical structure-activity relationship models for anti-fungal drug discovery. PMID:27874849

  10. Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism.

    PubMed

    Wildenhain, Jan; Spitzer, Michaela; Dolma, Sonam; Jarvik, Nick; White, Rachel; Roy, Marcia; Griffiths, Emma; Bellows, David S; Wright, Gerard D; Tyers, Mike

    2016-11-22

    The network structure of biological systems suggests that effective therapeutic intervention may require combinations of agents that act synergistically. However, a dearth of systematic chemical combination datasets have limited the development of predictive algorithms for chemical synergism. Here, we report two large datasets of linked chemical-genetic and chemical-chemical interactions in the budding yeast Saccharomyces cerevisiae. We screened 5,518 unique compounds against 242 diverse yeast gene deletion strains to generate an extended chemical-genetic matrix (CGM) of 492,126 chemical-gene interaction measurements. This CGM dataset contained 1,434 genotype-specific inhibitors, termed cryptagens. We selected 128 structurally diverse cryptagens and tested all pairwise combinations to generate a benchmark dataset of 8,128 pairwise chemical-chemical interaction tests for synergy prediction, termed the cryptagen matrix (CM). An accompanying database resource called ChemGRID was developed to enable analysis, visualisation and downloads of all data. The CGM and CM datasets will facilitate the benchmarking of computational approaches for synergy prediction, as well as chemical structure-activity relationship models for anti-fungal drug discovery.

  11. Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection

    PubMed Central

    Milias-Argeitis, Andreas; Oliveira, Ana Paula; Gerosa, Luca; Falter, Laura; Sauer, Uwe; Lygeros, John

    2016-01-01

    Understanding the structure and function of complex gene regulatory networks using classical genetic assays is an error-prone procedure that frequently generates ambiguous outcomes. Even some of the best-characterized gene networks contain interactions whose validity is not conclusively proven. Founded on dynamic experimental data, mechanistic mathematical models are able to offer detailed insights that would otherwise require prohibitively large numbers of genetic experiments. Here we attempt mechanistic modeling of the transcriptional network formed by the four GATA-factor proteins, a well-studied system of central importance for nitrogen-source regulation of transcription in the yeast Saccharomyces cerevisiae. To resolve ambiguities in the network organization, we encoded a set of five interactions hypothesized in the literature into a set of 32 mathematical models, and employed Bayesian model selection to identify the most plausible set of interactions based on dynamic gene expression data. The top-ranking model was validated on newly generated GFP reporter dynamic data and was subsequently used to gain a better understanding of how yeast cells organize their transcriptional response to dynamic changes of nitrogen sources. Our work constitutes a necessary and important step towards obtaining a holistic view of the yeast nitrogen regulation mechanisms; on the computational side, it provides a demonstration of how powerful Monte Carlo techniques can be creatively combined and used to address the great challenges of large-scale dynamical system inference. PMID:26967983

  12. Plant genetics and interspecific competitive interactions determine ectomycorrhizal fungal community responses to climate change.

    PubMed

    Gehring, Catherine; Flores-Rentería, Dulce; Sthultz, Christopher M; Leonard, Tierra M; Flores-Rentería, Lluvia; Whipple, Amy V; Whitham, Thomas G

    2014-03-01

    Although the importance of plant-associated microbes is increasingly recognized, little is known about the biotic and abiotic factors that determine the composition of that microbiome. We examined the influence of plant genetic variation, and two stressors, one biotic and one abiotic, on the ectomycorrhizal (EM) fungal community of a dominant tree species, Pinus edulis. During three periods across 16 years that varied in drought severity, we sampled the EM fungal communities of a wild stand of P. edulis in which genetically based resistance and susceptibility to insect herbivory was linked with drought tolerance and the abundance of competing shrubs. We found that the EM fungal communities of insect-susceptible trees remained relatively constant as climate dried, while those of insect-resistant trees shifted significantly, providing evidence of a genotype by environment interaction. Shrub removal altered the EM fungal communities of insect-resistant trees, but not insect-susceptible trees, also a genotype by environment interaction. The change in the EM fungal community of insect-resistant trees following shrub removal was associated with greater shoot growth, evidence of competitive release. However, shrub removal had a 7-fold greater positive effect on the shoot growth of insect-susceptible trees than insect-resistant trees when shrub density was taken into account. Insect-susceptible trees had higher growth than insect-resistant trees, consistent with the hypothesis that the EM fungi associated with susceptible trees were superior mutualists. These complex, genetic-based interactions among species (tree-shrub-herbivore-fungus) argue that the ultimate impacts of climate change are both ecological and evolutionary.

  13. The − 5 A/G single-nucleotide polymorphism in the core promoter region of MT2A and its effect on allele-specific gene expression and Cd, Zn and Cu levels in laryngeal cancer

    SciTech Connect

    Starska, Katarzyna; Krześlak, Anna; Forma, Ewa; Morawiec-Sztandera, Alina; Aleksandrowicz, Paweł; Lewy-Trenda, Iwona; and others

    2014-10-15

    Metallothioneins (MTs) are low molecular weight, cysteine-rich heavy metal-binding proteins which participate in the mechanisms of Zn homeostasis, and protect against toxic metals. MTs contain metal-thiolate cluster groups and suppress metal toxicity by binding to them. The aim of this study was to determine the − 5 A/G (rs28366003) single-nucleotide polymorphism (SNP) in the core promoter region of the MT2A gene and to investigate its effect on allele-specific gene expression and Cd, Zn and Cu content in squamous cell laryngeal cancer (SCC) and non-cancerous laryngeal mucosa (NCM) as a control. The MT2A promoter region − 5 A/G SNP was determined by restriction fragment length polymorphism using 323 SCC and 116 NCM. MT2A gene analysis was performed by quantitative real-time PCR. The frequency of A allele carriage was 94.2% and 91.8% in SCC and NCM, respectively, while G allele carriage was detected in 5.8% and 8.2% of SCC and NCM samples, respectively. As a result, a significant association was identified between the − 5 A/G SNP in the MT2A gene with mRNA expression in both groups. Metal levels were analyzed by flame atomic absorption spectrometry. The significant differences were identified between A/A and both the A/G and G/G genotypes, with regard to the concentration of the contaminating metal. The Spearman rank correlation results showed that the MT2A expression and Cd, Zn, Cu levels were negatively correlated. Results obtained in this study suggest that − 5 A/G SNP in MT2A gene may have an effect on allele-specific gene expression and accumulation of metal levels in laryngeal cancer. - Highlights: • MT2A gene expression and metal content in laryngeal cancer tissues • Association between SNP (rs28366003) and expression of MT2A • Significant associations between the SNP and Cd, Zn and Cu levels • Negative correlation between MT2A gene expression and Cd, Zn and Cu levels.

  14. Exploitation of genetic interaction network topology for the prediction of epistatic behavior.

    PubMed

    Alanis-Lobato, Gregorio; Cannistraci, Carlo Vittorio; Ravasi, Timothy

    2013-10-01

    Genetic interaction (GI) detection impacts the understanding of human disease and the ability to design personalized treatment. The mapping of every GI in most organisms is far from complete due to the combinatorial amount of gene deletions and knockdowns required. Computational techniques to predict new interactions based only on network topology have been developed in network science but never applied to GI networks. We show that topological prediction of GIs is possible with high precision and propose a graph dissimilarity index that is able to provide robust prediction in both dense and sparse networks. Computational prediction of GIs is a strong tool to aid high-throughput GI determination. The dissimilarity index we propose in this article is able to attain precise predictions that reduce the universe of candidate GIs to test in the lab.

  15. Life history determines genetic structure and evolutionary potential of host–parasite interactions

    PubMed Central

    Barrett, Luke G.; Thrall, Peter H.; Burdon, Jeremy J.; Linde, Celeste C.

    2009-01-01

    Measures of population genetic structure and diversity of disease-causing organisms are commonly used to draw inferences regarding their evolutionary history and potential to generate new variation in traits that determine interactions with their hosts. Parasite species exhibit a range of population structures and life-history strategies, including different transmission modes, life-cycle complexity, off-host survival mechanisms and dispersal ability. These are important determinants of the frequency and predictability of interactions with host species. Yet the complex causal relationships between spatial structure, life history and the evolutionary dynamics of parasite populations are not well understood. We demonstrate that a clear picture of the evolutionary potential of parasitic organisms and their demographic and evolutionary histories can only come from understanding the role of life history and spatial structure in influencing population dynamics and epidemiological patterns. PMID:18947899

  16. The Genetics Underlying Natural Variation in the Biotic Interactions of Arabidopsis thaliana: The Challenges of Linking Evolutionary Genetics and Community Ecology.

    PubMed

    Roux, F; Bergelson, J

    2016-01-01

    In the context of global change, predicting the responses of plant communities in an ever-changing biotic environment calls for a multipronged approach at the interface of evolutionary genetics and community ecology. However, our understanding of the genetic basis of natural variation involved in mediating biotic interactions, and associated adaptive dynamics of focal plants in their natural communities, is still in its infancy. Here, we review the genetic and molecular bases of natural variation in the response to biotic interactions (viruses, bacteria, fungi, oomycetes, herbivores, and plants) in the model plant Arabidopsis thaliana as well as the adaptive value of these bases. Among the 60 identified genes are a number that encode nucleotide-binding site leucine-rich repeat (NBS-LRR)-type proteins, consistent with early examples of plant defense genes. However, recent studies have revealed an extensive diversity in the molecular mechanisms of defense. Many types of genetic variants associate with phenotypic variation in biotic interactions, even among the genes of large effect that tend to be identified. In general, we found that (i) balancing selection rather than directional selection explains the observed patterns of genetic diversity within A. thaliana and (ii) the cost/benefit tradeoffs of adaptive alleles can be strongly dependent on both genomic and environmental contexts. Finally, because A. thaliana rarely interacts with only one biotic partner in nature, we highlight the benefit of exploring diffuse biotic interactions rather than tightly associated host-enemy pairs. This challenge would help to improve our understanding of coevolutionary quantitative genetics within the context of realistic community complexity.

  17. Syndecan 4 interacts genetically with Vangl2 to regulate neural tube closure and planar cell polarity

    PubMed Central

    Escobedo, Noelia; Contreras, Osvaldo; Muñoz, Rosana; Farías, Marjorie; Carrasco, Héctor; Hill, Charlotte; Tran, Uyen; Pryor, Sophie E.; Wessely, Oliver; Copp, Andrew J.; Larraín, Juan

    2013-01-01

    Syndecan 4 (Sdc4) is a cell-surface heparan sulfate proteoglycan (HSPG) that regulates gastrulation, neural tube closure and directed neural crest migration in Xenopus development. To determine whether Sdc4 participates in Wnt/PCP signaling during mouse development, we evaluated a possible interaction between a null mutation of Sdc4 and the loop-tail allele of Vangl2. Sdc4 is expressed in multiple tissues, but particularly in the non-neural ectoderm, hindgut and otic vesicles. Sdc4;Vangl2Lp compound mutant mice have defective spinal neural tube closure, disrupted orientation of the stereocilia bundles in the cochlea and delayed wound healing, demonstrating a strong genetic interaction. In Xenopus, co-injection of suboptimal amounts of Sdc4 and Vangl2 morpholinos resulted in a significantly greater proportion of embryos with defective neural tube closure than each individual morpholino alone. To probe the mechanism of this interaction, we overexpressed or knocked down Vangl2 function in HEK293 cells. The Sdc4 and Vangl2 proteins colocalize, and Vangl2, particularly the Vangl2Lp mutant form, diminishes Sdc4 protein levels. Conversely, Vangl2 knockdown enhances Sdc4 protein levels. Overall HSPG steady-state levels were regulated by Vangl2, suggesting a molecular mechanism for the genetic interaction in which Vangl2Lp/+ enhances the Sdc4-null phenotype. This could be mediated via heparan sulfate residues, as Vangl2Lp/+ embryos fail to initiate neural tube closure and develop craniorachischisis (usually seen only in Vangl2Lp/Lp) when cultured in the presence of chlorate, a sulfation inhibitor. These results demonstrate that Sdc4 can participate in the Wnt/PCP pathway, unveiling its importance during neural tube closure in mammalian embryos. PMID:23760952

  18. Syndecan 4 interacts genetically with Vangl2 to regulate neural tube closure and planar cell polarity.

    PubMed

    Escobedo, Noelia; Contreras, Osvaldo; Muñoz, Rosana; Farías, Marjorie; Carrasco, Héctor; Hill, Charlotte; Tran, Uyen; Pryor, Sophie E; Wessely, Oliver; Copp, Andrew J; Larraín, Juan

    2013-07-01

    Syndecan 4 (Sdc4) is a cell-surface heparan sulfate proteoglycan (HSPG) that regulates gastrulation, neural tube closure and directed neural crest migration in Xenopus development. To determine whether Sdc4 participates in Wnt/PCP signaling during mouse development, we evaluated a possible interaction between a null mutation of Sdc4 and the loop-tail allele of Vangl2. Sdc4 is expressed in multiple tissues, but particularly in the non-neural ectoderm, hindgut and otic vesicles. Sdc4;Vangl2(Lp) compound mutant mice have defective spinal neural tube closure, disrupted orientation of the stereocilia bundles in the cochlea and delayed wound healing, demonstrating a strong genetic interaction. In Xenopus, co-injection of suboptimal amounts of Sdc4 and Vangl2 morpholinos resulted in a significantly greater proportion of embryos with defective neural tube closure than each individual morpholino alone. To probe the mechanism of this interaction, we overexpressed or knocked down Vangl2 function in HEK293 cells. The Sdc4 and Vangl2 proteins colocalize, and Vangl2, particularly the Vangl2(Lp) mutant form, diminishes Sdc4 protein levels. Conversely, Vangl2 knockdown enhances Sdc4 protein levels. Overall HSPG steady-state levels were regulated by Vangl2, suggesting a molecular mechanism for the genetic interaction in which Vangl2(Lp/+) enhances the Sdc4-null phenotype. This could be mediated via heparan sulfate residues, as Vangl2(Lp/+) embryos fail to initiate neural tube closure and develop craniorachischisis (usually seen only in Vangl2(Lp/Lp)) when cultured in the presence of chlorate, a sulfation inhibitor. These results demonstrate that Sdc4 can participate in the Wnt/PCP pathway, unveiling its importance during neural tube closure in mammalian embryos.

  19. Ultrasensitive allele-specific PCR reveals rare preexisting drug-resistant variants and a large replicating virus population in macaques infected with a simian immunodeficiency virus containing human immunodeficiency virus reverse transcriptase.

    PubMed

    Boltz, Valerie F; Ambrose, Zandrea; Kearney, Mary F; Shao, Wei; Kewalramani, Vineet N; Maldarelli, Frank; Mellors, John W; Coffin, John M

    2012-12-01

    It has been proposed that most drug-resistant mutants, resulting from a single-nucleotide change, exist at low frequency in human immunodeficiency virus type 1 (HIV-1) and simian immunodeficiency virus (SIV) populations in vivo prior to the initiation of antiretroviral therapy (ART). To test this hypothesis and to investigate the emergence of resistant mutants with drug selection, we developed a new ultrasensitive allele-specific PCR (UsASP) assay, which can detect drug resistance mutations at a frequency of ≥0.001% of the virus population. We applied this assay to plasma samples obtained from macaques infected with an SIV variant containing HIV-1 reverse transcriptase (RT) (RT-simian-human immunodeficiency [SHIV](mne)), before and after they were exposed to a short course of efavirenz (EFV) monotherapy. We detected RT inhibitor (RTI) resistance mutations K65R and M184I but not K103N in 2 of 2 RT-SHIV-infected macaques prior to EFV exposure. After three doses over 4 days of EFV monotherapy, 103N mutations (AAC and AAT) rapidly emerged and increased in the population to levels of ∼20%, indicating that they were present prior to EFV exposure. The rapid increase of 103N mutations from <0.001% to 20% of the viral population indicates that the replicating virus population size in RT-SHIV-infected macaques must be 10(6) or more infected cells per replication cycle.

  20. Absolute quantification of the alleles in somatic point mutations by bioluminometric methods based on competitive polymerase chain reaction in the presence of a locked nucleic acid blocker or an allele-specific primer.

    PubMed

    Iliadi, Alexandra; Petropoulou, Margarita; Ioannou, Penelope C; Christopoulos, Theodore K; Anagnostopoulos, Nikolaos I; Kanavakis, Emmanuel; Traeger-Synodinos, Jan

    2011-09-01

    In somatic (acquired) point mutations, the challenge is to quantify minute amounts of the mutant allele in the presence of a large excess of the normal allele that differs only in a single base pair. We report two bioluminometric methods that enable absolute quantification of the alleles. The first method exploits the ability of a locked nucleic acid (LNA) oligonucleotide to bind to and inhibit effectively the polymerase chain reaction (PCR) amplification of the normal allele while the amplification of the mutant allele remains unaffected. The second method employs allele-specific PCR primers, thereby allowing the amplification of the corresponding allele only. DNA internal standards (competitors) are added to the PCR mixture to compensate for any sample-to-sample variation in the amplification efficiency. The amplification products from the two alleles and the internal standards are quantified by a microtiter well-based bioluminometric hybridization assay using the photoprotein aequorin as a reporter. The methods allow absolute quantification of less than 300 copies of the mutant allele even in samples containing less than 1% of the mutant allele.

  1. Interaction of genetic counselors with molecular genetic testing laboratories: implications for non-geneticist health care providers.

    PubMed

    McGovern, Margaret M; Benach, Marta; Zinberg, Randi

    2003-06-15

    The availability of molecular genetic tests for the identification of mutant gene carriers, and for assessing individual genetic response to pharmacologic agents, infectious agents, and other environmental exposures, is expected to result in the increased use of the molecular genetic testing laboratory by primary care physicians. However, a number of concerns have been raised about such testing including the need for safeguards to protect patient privacy, and if the interface between genetic testing laboratories and the ordering physician facilitates the appropriate clinical use of the test result. In this study, genetic counselors were surveyed to determine their practices with regard to the clinical issues of informed consent and confidentiality in the context of genetic testing, and to assess their level of satisfaction with the reporting practices of molecular genetic testing laboratories. The results of this survey revealed that there is variability in the practices of genetic counselors with regard to obtaining informed consent, and that there are areas for improvement with regard to molecular genetic test reports, particularly in terms of interpretation of results.

  2. Comparison and evaluation of network clustering algorithms applied to genetic interaction networks.

    PubMed

    Hou, Lin; Wang, Lin; Berg, Arthur; Qian, Minping; Zhu, Yunping; Li, Fangting; Deng, Minghua

    2012-01-01

    The goal of network clustering algorithms detect dense clusters in a network, and provide a first step towards the understanding of large scale biological networks. With numerous recent advances in biotechnologies, large-scale genetic interactions are widely available, but there is a limited understanding of which clustering algorithms may be most effective. In order to address this problem, we conducted a systematic study to compare and evaluate six clustering algorithms in analyzing genetic interaction networks, and investigated influencing factors in choosing algorithms. The algorithms considered in this comparison include hierarchical clustering, topological overlap matrix, bi-clustering, Markov clustering, Bayesian discriminant analysis based community detection, and variational Bayes approach to modularity. Both experimentally identified and synthetically constructed networks were used in this comparison. The accuracy of the algorithms is measured by the Jaccard index in comparing predicted gene modules with benchmark gene sets. The results suggest that the choice differs according to the network topology and evaluation criteria. Hierarchical clustering showed to be best at predicting protein complexes; Bayesian discriminant analysis based community detection proved best under epistatic miniarray profile (EMAP) datasets; the variational Bayes approach to modularity was noticeably better than the other algorithms in the genome-scale networks.

  3. Lack of genetic interaction between Tbx20 and Tbx3 in early mouse heart development.

    PubMed

    Gavrilov, Svetlana; Harvey, Richard P; Papaioannou, Virginia E

    2013-01-01

    Members of the T-box family of transcription factors are important regulators orchestrating the complex regionalization of the developing mammalian heart. Individual mutations in Tbx20 and Tbx3 cause distinct congenital heart abnormalities in the mouse: Tbx20 mutations result in failure of heart looping, developmental arrest and lack of chamber differentiation, while hearts of Tbx3 mutants progress further, loop normally but show atrioventricular convergence and outflow tract defects. The two genes have overlapping areas of expression in the atrioventricular canal and outflow tract of the heart but their potential genetic interaction has not been previously investigated. In this study we produced compound mutants to investigate potential genetic interactions at the earliest stages of heart development. We find that Tbx20; Tbx3 double heterozygous mice are viable and fertile with no apparent abnormalities, while double homozygous mutants are embryonic lethal by midgestation. Double homozygous mutant embryos display abnormal cardiac morphogenesis, lack of heart looping, expression patterns of cardiac genes and time of death that are indistinguishable from Tbx20 homozygous mutants. Prior to death, the double homozygotes show an overall developmental delay similar to Tbx3 homozygous mutants. Thus the effects of Tbx20 are epistatic to Tbx3 in the heart but Tbx3 is epistatic to Tbx20 with respect to developmental delay.

  4. Frontiers of torenia research: innovative ornamental traits and study of ecological interaction networks through genetic engineering.

    PubMed

    Nishihara, Masahiro; Shimoda, Takeshi; Nakatsuka, Takashi; Arimura, Gen-Ichiro

    2013-06-26

    Advances in research in the past few years on the ornamental plant torenia (Torenia spps.) have made it notable as a model plant on the frontier of genetic engineering aimed at studying ornamental characteristics and pest control in horticultural ecosystems. The remarkable advantage of torenia over other ornamental plant species is the availability of an easy and high-efficiency transformation system for it. Unfortunately, most of the current torenia research is still not very widespread, because this species has not become prominent as an alternative to other successful model plants such as Arabidopsis, snapdragon and petunia. However, nowadays, a more global view using not only a few selected models but also several additional species are required for creating innovative ornamental traits and studying horticultural ecosystems. We therefore introduce and discuss recent research on torenia, the family Scrophulariaceae, for secondary metabolite bioengineering, in which global insights into horticulture, agriculture and ecology have been advanced. Floral traits, in torenia particularly floral color, have been extensively studied by manipulating the flavonoid biosynthetic pathways in flower organs. Plant aroma, including volatile terpenoids, has also been genetically modulated in order to understand the complicated nature of multi-trophic interactions that affect the behavior of predators and pollinators in the ecosystem. Torenia would accordingly be of great use for investigating both the variation in ornamental plants and the infochemical-mediated interactions with arthropods.

  5. Frontiers of torenia research: innovative ornamental traits and study of ecological interaction networks through genetic engineering

    PubMed Central

    2013-01-01

    Advances in research in the past few years on the ornamental plant torenia (Torenia spps.) have made it notable as a model plant on the frontier of genetic engineering aimed at studying ornamental characteristics and pest control in horticultural ecosystems. The remarkable advantage of torenia over other ornamental plant species is the availability of an easy and high-efficiency transformation system for it. Unfortunately, most of the current torenia research is still not very widespread, because this species has not become prominent as an alternative to other successful model plants such as Arabidopsis, snapdragon and petunia. However, nowadays, a more global view using not only a few selected models but also several additional species are required for creating innovative ornamental traits and studying horticultural ecosystems. We therefore introduce and discuss recent research on torenia, the family Scrophulariaceae, for secondary metabolite bioengineering, in which global insights into horticulture, agriculture and ecology have been advanced. Floral traits, in torenia particularly floral color, have been extensively studied by manipulating the flavonoid biosynthetic pathways in flower organs. Plant aroma, including volatile terpenoids, has also been genetically modulated in order to understand the complicated nature of multi-trophic interactions that affect the behavior of predators and pollinators in the ecosystem. Torenia would accordingly be of great use for investigating both the variation in ornamental plants and the infochemical-mediated interactions with arthropods. PMID:23803155

  6. Genetic interaction between members of the Vangl family causes neural tube defects in mice

    PubMed Central

    Torban, Elena; Patenaude, Anne-Marie; Leclerc, Severine; Rakowiecki, Staci; Gauthier, Susan; Andelfinger, Gregor; Epstein, Douglas J.; Gros, Philippe

    2008-01-01

    Neural tube defects (NTDs) are very frequent congenital abnormalities in humans. Recently, we have documented independent association of Vangl1 and Vangl2 gene mutations with NTDs. In the Looptail mouse, homozygosity (but not heterozygosity) for loss-of-function alleles at Vangl2 causes the severe NTD craniorachischisis, whereas heterozygosity for mutant variants of VANGL1 is associated with NTDs in a human cohort of sporadic and familial cases. To understand the role of Vangl1 in normal development, we created a mouse mutant with an inactivating mutation at Vangl1 (Vangl1gt). Vangl1 shows a dynamic pattern of expression in the developing neural tube and notochord at the time of neural tube closure. Vangl1gt/+ heterozygotes and Vangl1gt/gt homozygotes are viable and fertile, although Vangl1gt/gt display subtle alterations in polarity of inner hair cells of the cochlea. Remarkably, and as opposed to healthy Vangl1gt/+ and Vangl2lp/+ heterozygotes, Vangl1gt/+;Vangl2lp/+ double heterozygotes show profound developmental defects that include severe craniorachischisis, inner ear defects (disorganization of the stereociliary bundles of hair cells of the organ of Corti), and cardiac abnormality (aberrant right subclavian artery). These results show that genetic interaction between Vangl1 and Vangl2 genes causes neural tube defects and raise the possibility that interaction between individual Vangl genes and other genetic loci and/or environmental factors may additionally contribute to the etiology of NTDs. PMID:18296642

  7. Fitting Procedures for Novel Gene-by-Measured Environment Interaction Models in Behavior Genetic Designs

    PubMed Central

    Zheng, Hao; Rathouz, Paul J.

    2015-01-01

    For quantitative behavior genetic (e.g., twin) studies, Purcell proposed a novel model for testing gene-by-measured environment (GxM) interactions while accounting for gene-by-environment correlation. Rathouz et al. expanded this model into a broader class of non-linear biometric models for quantifying and testing such interactions. In this work, we propose a novel factorization of the likelihood for this class of models, and adopt numerical integration techniques to achieve model estimation, especially for those without close-form likelihood. The validity of our procedures is established through numerical simulation studies. The new procedures are illustrated in a twin study analysis of the moderating effect of birth weight on the genetic influences on childhood anxiety. A second example is given in an online appendix. Both the exant GxM models and the new non-linear models critically assume normality of all structural components, which implies continuous, but not normal, manifest response variables. PMID:25732055

  8. Genetic Interactions with Prenatal Social Environment: Effects on Academic and Behavioral Outcomes. NBER Working Paper No. 16026

    ERIC Educational Resources Information Center

    Conley, Dalton; Rauscher, Emily

    2010-01-01

    Caspi et al. (2002, 2003), Guo et al. (2008a), and Pescosolido et al. (2008) all claim to have demonstrated allele-by-environment interactions, but in all cases environmental influences are potentially endogenous to the unmeasured genetic characteristics of the subjects and their families. Thus, gene-gene interactions cannot be ruled out as an…

  9. Genome Editing in hPSCs Reveals GATA6 Haploinsufficiency and a Genetic Interaction with GATA4 in Human Pancreatic Development.

    PubMed

    Shi, Zhong-Dong; Lee, Kihyun; Yang, Dapeng; Amin, Sadaf; Verma, Nipun; Li, Qing V; Zhu, Zengrong; Soh, Chew-Li; Kumar, Ritu; Evans, Todd; Chen, Shuibing; Huangfu, Danwei

    2017-02-08

    Human disease phenotypes associated with haploinsufficient gene requirements are often not recapitulated well in animal models. Here, we have investigated the association between human GATA6 haploinsufficiency and a wide range of clinical phenotypes that include neonatal and adult-onset diabetes using CRISPR (clustered regularly interspaced short palindromic repeat)/Cas9-mediated genome editing coupled with human pluripotent stem cell (hPSC) directed differentiation. We found that loss of one GATA6 allele specifically affects the differentiation of human pancreatic progenitors from the early PDX1+ stage to the more mature PDX1+NKX6.1+ stage, leading to impaired formation of glucose-responsive β-like cells. In addition to this GATA6 haploinsufficiency, we also identified dosage-sensitive requirements for GATA6 and GATA4 in the formation of both definitive endoderm and pancreatic progenitor cells. Our work expands the application of hPSCs from studying the impact of individual gene loci to investigation of multigenic human traits, and it establishes an approach for identifying genetic modifiers of human disease.

  10. An Evolving Genetic Architecture Interacts with Hill-Robertson Interference to Determine the Benefit of Sex.

    PubMed

    Whitlock, Alexander O B; Peck, Kayla M; Azevedo, Ricardo B R; Burch, Christina L

    2016-06-01

    Sex is ubiquitous in the natural world, but the nature of its benefits remains controversial. Previous studies have suggested that a major advantage of sex is its ability to eliminate interference between selection on linked mutations, a phenomenon known as Hill-Robertson interference. However, those studies may have missed both important advantages and important disadvantages of sexual reproduction because they did not allow the distributions of mutational effects and interactions (i.e., the genetic architecture) to evolve. Here we investigate how Hill-Robertson interference interacts with an evolving genetic architecture to affect the evolutionary origin and maintenance of sex by simulating evolution in populations of artificial gene networks. We observed a long-term advantage of sex-equilibrium mean fitness of sexual populations exceeded that of asexual populations-that did not depend on population size. We also observed a short-term advantage of sex-sexual modifier mutations readily invaded asexual populations-that increased with population size, as was observed in previous studies. We show that the long- and short-term advantages of sex were both determined by differences between sexual and asexual populations in the evolutionary dynamics of two properties of the genetic architecture: the deleterious mutation rate ([Formula: see text]) and recombination load ([Formula: see text]). These differences resulted from a combination of selection to minimize [Formula: see text] which is experienced only by sexuals, and Hill-Robertson interference experienced primarily by asexuals. In contrast to the previous studies, in which Hill-Robertson interference had only a direct impact on the fitness advantages of sex, the impact of Hill-Robertson interference in our simulations was mediated additionally by an indirect impact on the efficiency with which selection acted to reduce [Formula: see text].

  11. Genetic Modifier Screens Reveal New Components that Interact with the Drosophila Dystroglycan-Dystrophin Complex

    PubMed Central

    Yatsenko, Andriy S.; Shcherbata, Halyna R.; Fischer, Karin A.; Maksymiv, Dariya V.; Chernyk, Yaroslava I.; Ruohola-Baker, Hannele

    2008-01-01

    The Dystroglycan-Dystrophin (Dg-Dys) complex has a capacity to transmit information from the extracellular matrix to the cytoskeleton inside the cell. It is proposed that this interaction is under tight regulation; however the signaling/regulatory components of Dg-Dys complex remain elusive. Understanding the regulation of the complex is critical since defects in this complex cause muscular dystrophy in humans. To reveal new regulators of the Dg-Dys complex, we used a model organism Drosophila melanogaster and performed genetic interaction screens to identify modifiers of Dg and Dys mutants in Drosophila wing veins. These mutant screens revealed that the Dg-Dys complex interacts with genes involved in muscle function and components of Notch, TGF-β and EGFR signaling pathways. In addition, components of pathways that are required for cellular and/or axonal migration through cytoskeletal regulation, such as Semaphorin-Plexin, Frazzled-Netrin and Slit-Robo pathways show interactions with Dys and/or Dg. These data suggest that the Dg-Dys complex and the other pathways regulating extracellular information transfer to the cytoskeletal dynamics are more intercalated than previously thought. PMID:18545683

  12. A Combined Computational and Genetic Approach Uncovers Network Interactions of the Cyanobacterial Circadian Clock

    PubMed Central

    Boyd, Joseph S.; Cheng, Ryan R.; Paddock, Mark L.; Sancar, Cigdem

    2016-01-01

    DCA, independently confirmed known interactions and revealed a core set of subnetworks within the larger HK-RR set. We validated high-scoring candidate proteins via combinatorial genetics, demonstrating that DCA can be utilized to reduce the search space of complex protein networks and to infer undiscovered specific interactions for signaling proteins in vivo. Significantly, new interactions that link circadian response to cell division and fitness in a light/dark cycle were uncovered. The combined analysis also uncovered a more basic core clock, illustrating the synergy and applicability of a combined computational and genetic approach for investigating prokaryotic signaling networks. PMID:27381914

  13. Interactions Within Susceptible Hosts Drive Establishment of Genetically Distinct Variants of an Insect-Borne Pathogen.

    PubMed

    Blaisdell, G K; Zhang, S; Bratburd, J R; Daane, K M; Cooper, M L; Almeida, R P P

    2015-08-01

    Coinfections are common, leading to pathogen interactions during transmission and establishment in a host. However, few studies have tested the relative strengths of pathogen interactions in vectors and hosts that determine the outcome of infection. We tested interactions between two genetically distinct variants of the mealybug-transmitted Grapevine leafroll-associated virus 3. The transmission efficiency of each variant in single variant inoculations by two vector species was determined. The effects of vector species, a coinfected source, and simultaneous inoculation from multiple hosts to one host on variant establishment were examined. Within-vector interactions could have a role in transmission from hosts containing mixed infections, but not when vectors were moved from separate singly infected source plants to a single recipient plant. The invasive Planococcus ficus (Signoret) was a more efficient vector than Pseudococcus viburni (Signoret). Transmission efficiency of the two variants did not differ in single variant inoculations. Overall infections were the same whether from singly or coinfected source plants. In mixed inoculations, establishment of one variant was reduced. Mixed inoculations from two singly infected source plants resulted in fewer mixed infections than expected by chance. Therefore, the observed outcome was determined subsequent to host inoculation rather than in the vector. The outcome may be due to resource competition between pathogens. Alternatively apparent competition may be responsible; the pathogens' differential ability to overcome host defenses and colonize the host may determine the final outcome of new infections. Detailed knowledge of interactions between pathogens during transmission and establishment could improve understanding and management of disease spread.

  14. Epigenetic, Genetic and Environmental Interactions in Esophageal Squamous Cell Carcinoma from Northeast India

    PubMed Central

    Talukdar, Fazlur Rahman; Ghosh, Sankar Kumar; Laskar, Ruhina Shirin; Mondal, Rosy

    2013-01-01

    Background Esophageal squamous cell carcinoma (ESCC) develops as a result of complex epigenetic, genetic and environmental interactions. Epigenetic changes like, promoter hypermethylation of multiple tumour suppressor genes are frequent events in cancer, and certain habit-related carcinogens are thought to be capable of inducing aberrant methylation. However, the effects of environmental carcinogens depend upon the level of metabolism by carcinogen metabolizing enzymes. As such key interactions between habits related factors and carcinogen metabolizing gene polymorphisms towards modulating promoter methylation of genes are likely. However, this remains largely unexplored in ESCC. Here, we studied the interaction of various habits related factors and polymorphism of GSTM1/GSTT1 genes towards inducing promoter hypermethylation of multiple tumour suppressor genes. Methodology/Principal Findings The study included 112 ESCC cases and 130 age and gender matched controls. Conditional logistic regression was used to calculate odds ratios (OR) and multifactor dimensionality reduction (MDR) was used to explore high order interactions. Tobacco chewing and smoking were the major individual risk factors of ESCC after adjusting for all potential confounding factors. With regards to methylation status, significantly higher methylation frequencies were observed in tobacco chewers than non chewers for all the four genes under study (p<0.01). In logistic regression analysis, betel quid chewing, alcohol consumption and null GSTT1 genotypes imparted maximum risk for ESCC without promoter hypermethylation. Whereas, tobacco chewing, smoking and GSTT1 null variants were the most important risk factors for ESCC with promoter hypermethylation. MDR analysis revealed two predictor models for ESCC with promoter hypermethylation (Tobacco chewing/Smoking/Betel quid chewing/GSTT1 null) and ESCC without promoter hypermethylation (Betel quid chewing/Alcohol/GSTT1) with TBA of 0.69 and 0

  15. Correcting Systematic Inflation in Genetic Association Tests That Consider Interaction Effects

    PubMed Central

    Almli, Lynn M.; Duncan, Richard; Feng, Hao; Ghosh, Debashis; Binder, Elisabeth B.; Bradley, Bekh; Ressler, Kerry J.; Conneely, Karen N.; Epstein, Michael P.

    2015-01-01

    IMPORTANCE Genetic association studies of psychiatric outcomes often consider interactions with environmental exposures and, in particular, apply tests that jointly consider gene and gene-environment interaction effects for analysis. Using a genome-wide association study (GWAS) of posttraumatic stress disorder (PTSD), we report that heteroscedasticity (defined as variability in outcome that differs by the value of the environmental exposure) can invalidate traditional joint tests of gene and gene-environment interaction. OBJECTIVES To identify the cause of bias in traditional joint tests of gene and gene-environment interaction in a PTSD GWAS and determine whether proposed robust joint tests are insensitive to this problem. DESIGN, SETTING, AND PARTICIPANTS The PTSD GWAS data set consisted of 3359 individuals (978 men and 2381 women) from the Grady Trauma Project (GTP), a cohort study from Atlanta, Georgia. The GTP performed genome-wide genotyping of participants and collected environmental exposures using the Childhood Trauma Questionnaire and Trauma Experiences Inventory. MAIN OUTCOMES AND MEASURES We performed joint interaction testing of the Beck Depression Inventory and modified PTSD Symptom Scale in the GTP GWAS. We assessed systematic bias in our interaction analyses using quantile-quantile plots and genome-wide inflation factors. RESULTS Application of the traditional joint interaction test to the GTP GWAS yielded systematic inflation across different outcomes and environmental exposures (inflation-factor estimates ranging from 1.07 to 1.21), whereas application of the robust joint test to the same data set yielded no such inflation (inflation-factor estimates ranging from 1.01 to 1.02). Simulated data further revealed that the robust joint test is valid in different heteroscedasticity models, whereas the traditional joint test is invalid. The robust joint test also has power similar to the traditional joint test when heteroscedasticity is not an issue

  16. Gene interactions and genetics for yield and its attributes in grass pea (Lathyrus sativus L.).

    PubMed

    Parihar, A K; Dixit, G P; Singh, Deepak

    2016-12-01

    Grain yield is a complex character representing a multiplicative end product of many yield attributes. However, understanding the genetics and inheritance that underlies yield and its component characters pose a prerequisite to attain the actual yield potential of any crop species. The knowledge pertaining to gene actions and interactions is likely to direct and strengthen the crop breeding programmes. With this objective, the present investigation was undertaken by using six generations derived from three different crosses in grass pea. The study underscores the significance of additive-dominance model, gene action involved in inheritance of quantitative characters and heritability. Of note, nonallelic interactions influencing the traits were detected by both scaling test and joint scaling test, indicating the inadequacy of the additive-dominance model alone in explaining the manifestation of complex traits such as yield. Besides, additive (d) and dominance (h) gene effects, different types of interallelic interactions (i, j, l) contributed towards the inheritance of traits in the given crosses. Nevertheless, predominance of additive variance suggests a difference between homozygotes at a locus with positive and negative alleles being distributed between the parents. Duplicate epistasis was prevalent in most of the cases for traits like plant height, seeds/pod, 100-seed weight and pod width. In view of the diverse gene actions, i.e. additive, dominant and epistasis, playing important roles in the manifestation of complex traits like yield, we advocate implementation of population improvement techniques in particular reciprocal recurrent selection to improve productivity gains in grass pea.

  17. High frequency of SLC22A12 variants causing renal hypouricemia 1 in the Czech and Slovak Roma population; simple and rapid detection method by allele-specific polymerase chain reaction.

    PubMed

    Gabrikova, Dana; Bernasovska, Jarmila; Sokolova, Jitka; Stiburkova, Blanka

    2015-10-01

    Renal hypouricemia is a rare heterogeneous inherited disorder characterized by impaired tubular uric acid transport with severe complications, such as acute kidney injury. Type 1 and 2 are caused by loss-of-function mutations in the SLC22A12 and SLC2A9 gene, respectively. A cohort of 881 randomly chosen ethnic Roma from two regions in Eastern Slovakia and two regions in the Czech Republic participated. Genomic DNA was isolated from buccal swabs and/or from blood samples. The c.1245_1253del and c.1400C>T genotypes were determined using polymerase chain reaction with allele-specific primers in a multiplex arrangement and/or direct sequencing of exon 7 and 9. Allele frequencies and genotypes were tested for Hardy-Weinberg equilibrium using the Chi-square test. 25 subjects were heterozygous and three were homozygous for the c.1245_1253del, while 92 subjects were heterozygous and two were homozygous for the c.1400C>T. Moreover, two participants were compound heterozygotes. Frequencies of the c.1245_1253del and c.1400C>T variants were 1.87 and 5.56 %, respectively. Our finding confirms an uneven geographical and ethnic distribution of SLC22A12 mutant variants. We found that the c.1245_1253del and c.1400C>T variants were present in the Czech and Slovak Roma population at unexpectedly high frequencies. Renal hypouricemia should be kept in mind during differential diagnostic on Roma patients with low serum uric acid concentrations.

  18. MYD88 L265P in Waldenström macroglobulinemia, immunoglobulin M monoclonal gammopathy, and other B-cell lymphoproliferative disorders using conventional and quantitative allele-specific polymerase chain reaction

    PubMed Central

    Xu, Lian; Hunter, Zachary R.; Yang, Guang; Zhou, Yangsheng; Cao, Yang; Liu, Xia; Morra, Enrica; Trojani, Alessandra; Greco, Antonino; Arcaini, Luca; Varettoni, Maria; Brown, Jennifer R.; Tai, Yu-Tzu; Anderson, Kenneth C.; Munshi, Nikhil C.; Patterson, Christopher J.; Manning, Robert J.; Tripsas, Christina K.; Lindeman, Neal I.

    2013-01-01

    By whole-genome and/or Sanger sequencing, we recently identified a somatic mutation (MYD88 L265P) that stimulates nuclear factor κB activity and is present in >90% of Waldenström macroglobulinemia (WM) patients. MYD88 L265P was absent in 90% of immunoglobulin M (IgM) monoclonal gammopathy of undetermined significance (MGUS) patients. We therefore developed conventional and real-time allele-specific polymerase chain reaction (AS-PCR) assays for more sensitive detection and quantification of MYD88 L265P. Using either assay, MYD88 L265P was detected in 97 of 104 (93%) WM and 13 of 24 (54%) IgM MGUS patients and was either absent or rarely expressed in samples from splenic marginal zone lymphoma (2/20; 10%), CLL (1/26; 4%), multiple myeloma (including IgM cases, 0/14), and immunoglobulin G MGUS (0/9) patients as well as healthy donors (0/40; P < 1.5 × 10−5 for WM vs other cohorts). Real-time AS-PCR identified IgM MGUS patients progressing to WM and showed a high rate of concordance between MYD88 L265P ΔCT and BM disease involvement (r = 0.89, P = .008) in WM patients undergoing treatment. These studies identify MYD88 L265P as a widely present mutation in WM and IgM MGUS patients using highly sensitive and specific AS-PCR assays with potential use in diagnostic discrimination and/or response assessment. The finding of this mutation in many IgM MGUS patients suggests that MYD88 L265P may be an early oncogenic event in WM pathogenesis. PMID:23321251

  19. H19-DMR allele-specific methylation analysis reveals epigenetic heterogeneity of CTCF binding site 6 but not of site 5 in head-and-neck carcinomas: a pilot case-control analysis.

    PubMed

    De Castro Valente Esteves, Leda Isabel; De Karla Cervigne, Nilva; Do Carmo Javaroni, Afonso; Magrin, José; Kowalski, Luiz Paulo; Rainho, Cláudia Aparecida; Rogatto, Silvia Regina

    2006-02-01

    Aberrant methylation of seven potential binding sites of the CTCF factor in the differentially methylated region upstream of the H19 gene (H19-DMR) has been suggested as critical for the regulation of IGF2 and H19 imprinted genes. In this study, we analyzed the allele-specific methylation pattern of CTCF binding sites 5 and 6 using methylation-sensitive restriction enzyme PCR followed by RFLP analysis in matched tumoral and lymphocyte DNA from head-and-neck squamous cell carcinoma (HNSCC) patients, as well as in lymphocyte DNA from control individuals who were cancer-free. The monoallelic methylation pattern was maintained in CTCF binding site 5 in 22 heterozygous out of 91 samples analyzed. Nevertheless, a biallelic methylation pattern was detected in CTCF binding site 6 in a subgroup of HNSCC patients as a somatic acquired feature of tumor cells. An atypical biallelic methylation was also observed in both tumor and lymphocyte DNA from two patients, and at a high frequency in the control group (29 out of 64 informative controls). Additionally, we found that the C/T transition detected by HhaI RFLP suppressed one dinucleotide CpG in critical CTCF binding site 6, of a mutation showing polymorphic frequencies. Although a heterogeneous methylation pattern was observed after DNA sequencing modified by sodium bisulfite, the biallelic methylation pattern was confirmed in 9 out of 10 HNSCCs. These findings are likely to be relevant in the epigenetic regulation of the DMR, especially in pathological conditions in which the imprinting of IGF2 and H19 genes is disrupted.

  20. [Detection of JAK2V617F mutation rate by real-time fluorescent quantitative PCR using allele specific primer and TaqMan-MGB probe for dual inhibiting amplification of wild type alleles].

    PubMed

    Liang, Guo-Wei; Shao, Dong-Hua; He, Mei-Ling; Cao, Qing-Yun

    2012-12-01

    This study was purposed to develop a real-time PCR assay for sensitive quantification of JAK2V617F allele burden in peripheral blood and to evaluate the clinical value of this method. Both allele-specific mutant reverse primer and wild-type TaqMan-MGB probe were used for dual-inhibiting amplification of wild-type alleles in a real-time PCR, and then the JAK2V617F mutant alleles were amplified specially. The standard curve for quantification of JAK2V617F was established by percentages of JAK2V617F alleles with threshold cycle (Ct) values in a real-time PCR. Furthermore, 89 apparent healthy donors were tested by this method. The results showed that the quantitative lower limit of this method for JAK2V617F was 0.1%, and the intra- and inter-assay average variability for quantifying percentage of JAK2V617F in total DNA was 4.1% and 6.1%, respectively. Two JAK2V617F-positive individuals were identified (the percentage of JAK2V617F alleles were 0.64% and 0.98%, respectively) using this method in blood from 89 apparently healthy donors. It is concluded that the developed method with highly sensitive and reproducible quantification of JAK2V617F mutant burden can be used clinically for diagnosis and evaluation of disease prognosis and efficacy of therapy in patients with myeloproliferative neoplasms. Moreover, this technique can be also used for quantitative detection of variety of single nucleotide mutation.

  1. Parasite-host interaction in malaria: genetic clues and copy number variation

    PubMed Central

    2009-01-01

    In humans, infections contribute highly to mortality and morbidity rates worldwide. Malaria tropica is one of the major infectious diseases globally and is caused by the protozoan parasite Plasmodium falciparum. Plasmodia have accompanied human beings since the emergence of humankind. Due to its pathogenicity, malaria is a powerful selective force on the human genome. Genetic epidemiology approaches such as family and twin studies, candidate gene studies, and disease-association studies have identified a number of genes that mediate relative protection against the severest forms of the disease. New molecular approaches, including genome-wide association studies, have recently been performed to expand our knowledge on the functional effect of human variation in malaria. For the future, a systematic determination of gene-dosage effects and expression profiles of protective genes might unveil the functional impact of structural alterations in these genes on either side of the host-parasite interaction. PMID:19725943

  2. Biflorin induces cytotoxicity by DNA interaction in genetically different human melanoma cell lines.

    PubMed

    Ralph, Ana Carolina Lima; Calcagno, Danielle Queiroz; da Silva Souza, Luciana Gregório; de Lemos, Telma Leda Gomes; Montenegro, Raquel Carvalho; de Arruda Cardoso Smith, Marília; de Vasconcellos, Marne Carvalho

    2016-08-01

    Cancer is a public health problem and the second leading cause of death worldwide. The incidence of cutaneous melanoma has been notably increasing, resulting in high aggressiveness and poor survival rates. Taking into account the antitumor activity of biflorin, a substance isolated from Capraria biflora L. roots that is cytotoxic in vitro and in vivo, this study aimed to demonstrate the action of biflorin against three established human melanoma cell lines that recapitulate the molecular landscape of the disease in terms of genetic alterations and mutations, such as the TP53, NRAS and BRAF genes. The results presented here indicate that biflorin reduces the viability of melanoma cell lines by DNA interactions. Biflorin causes single and double DNA strand breaks, consequently inhibiting cell cycle progression, replication and DNA repair and promoting apoptosis. Our data suggest that biflorin could be considered as a future therapeutic option for managing melanoma.

  3. Cerebral Cavernous Malformations: Review of the Genetic and Protein–Protein Interactions Resulting in Disease Pathogenesis

    PubMed Central

    Baranoski, Jacob F.; Kalani, M. Yashar S.; Przybylowski, Colin J.; Zabramski, Joseph M.

    2016-01-01

    Mutations in the genes KRIT1, CCM2, and PDCD10 are known to result in the formation of cerebral cavernous malformations (CCMs). CCMs are intracranial lesions composed of aberrantly enlarged “cavernous” endothelial channels that can result in cerebral hemorrhage, seizures, and neurologic deficits. Although these genes have been known to be associated with CCMs since the 1990s, numerous discoveries have been made that better elucidate how they and their subsequent protein products are involved in CCM pathogenesis. Since our last review of the molecular genetics of CCM pathogenesis in 2012, breakthroughs include a more thorough understanding of the protein structures of the gene products, involvement with integrin proteins, and MEKK3 signaling pathways, and the importance of CCM2–PDCD10 interactions. In this review, we highlight the advances that further our understanding of the “gene to protein to disease” relationships of CCMs. PMID:27896269

  4. Cerebral Cavernous Malformations: Review of the Genetic and Protein-Protein Interactions Resulting in Disease Pathogenesis.

    PubMed

    Baranoski, Jacob F; Kalani, M Yashar S; Przybylowski, Colin J; Zabramski, Joseph M

    2016-01-01

    Mutations in the genes KRIT1, CCM2, and PDCD10 are known to result in the formation of cerebral cavernous malformations (CCMs). CCMs are intracranial lesions composed of aberrantly enlarged "cavernous" endothelial channels that can result in cerebral hemorrhage, seizures, and neurologic deficits. Although these genes have been known to be associated with CCMs since the 1990s, numerous discoveries have been made that better elucidate how they and their subsequent protein products are involved in CCM pathogenesis. Since our last review of the molecular genetics of CCM pathogenesis in 2012, breakthroughs include a more thorough understanding of the protein structures of the gene products, involvement with integrin proteins, and MEKK3 signaling pathways, and the importance of CCM2-PDCD10 interactions. In this review, we highlight the advances that further our understanding of the "gene to protein to disease" relationships of CCMs.

  5. Genetic and tissue level muscle-bone interactions during unloading and reambulation

    PubMed Central

    Judex, S.; Zhang, W.; Donahue, L.R.; Ozcivici, E.

    2016-01-01

    Little is known about interactions between muscle and bone during the removal and application of mechanical signals. Here, we applied 3wk of hindlimb unloading followed by 3wk of reambulation to a genetically heterogeneous population of 352 adult mice and tested the hypothesis that changes in muscle are associated with changes in bone at the level of the tissue and the genome. During unloading and relative to normally ambulating control mice, most mice lost muscle and cortical bone with large variability across the population. During reambulation, individual mice regained bone and muscle at different rates. Across mice, changes in muscle and trabecular/cortical bone were not correlated to each other during unloading or reambulation. For unloading, we found one significant quantitative trait locus (QTL) for muscle area and five QTLs for cortical bone without overlap between mechano-sensitive muscle and cortical bone QTLs (but some overlap between muscle and trabecular QTLs). The low correlations between morphological changes in muscle and bone, together with the largely distinct genetic regulation of the response indicate that the premise of a muscle-bone unit that co-adjusts its size during (un)loading may need to be reassessed. PMID:27609032

  6. Pathway-Driven Approaches of Interaction between Oxidative Balance and Genetic Polymorphism on Metabolic Syndrome

    PubMed Central

    2017-01-01

    Despite evidences of association between basic redox biology and metabolic syndrome (MetS), few studies have evaluated indices that account for multiple oxidative effectors for MetS. Oxidative balance score (OBS) has indicated the role of oxidative stress in chronic disease pathophysiology. In this study, we evaluated OBS as an oxidative balance indicator for estimating risk of MetS with 6414 study participants. OBS is a multiple exogenous factor score for development of disease; therefore, we investigated interplay between oxidative balance and genetic variation for development of MetS focusing on biological pathways by using gene-set-enrichment analysis. As a result, participants in the highest quartile of OBS were less likely to be at risk for MetS than those in the lowest quartile. In addition, persons in the highest quartile of OBS had the lowest level of inflammatory markers including C-reactive protein and WBC. With GWAS-based pathway analysis, we found that VEGF signaling pathway, glutathione metabolism, and Rac-1 pathway were significantly enriched biological pathways involved with OBS on MetS. These findings suggested that mechanism of angiogenesis, oxidative stress, and inflammation can be involved in interaction between OBS and genetic variation on risk of MetS. PMID:28191276

  7. Genetic and environmental influences interact with age and sex in shaping the human methylome

    PubMed Central

    van Dongen, Jenny; Nivard, Michel G.; Willemsen, Gonneke; Hottenga, Jouke-Jan; Helmer, Quinta; Dolan, Conor V.; Ehli, Erik A.; Davies, Gareth E.; van Iterson, Maarten; Breeze, Charles E.; Beck, Stephan; Hoen, Peter A.C.'t; Pool, René; van Greevenbroek, Marleen M.J.; Stehouwer, Coen D.A.; Kallen, Carla J.H. van der; Schalkwijk, Casper G.; Wijmenga, Cisca; Zhernakova, Sasha; Tigchelaar, Ettje F.; Beekman, Marian; Deelen, Joris; van Heemst, Diana; Veldink, Jan H.; van den Berg, Leonard H.; van Duijn, Cornelia M.; Hofman, Bert A.; Uitterlinden, André G.; Jhamai, P. Mila; Verbiest, Michael; Verkerk, Marijn; van der Breggen, Ruud; van Rooij, Jeroen; Lakenberg, Nico; Mei, Hailiang; Bot, Jan; Zhernakova, Dasha V.; van't Hof, Peter; Deelen, Patrick; Nooren, Irene; Moed, Matthijs; Vermaat, Martijn; Luijk, René; Bonder, Marc Jan; van Dijk, Freerk; van Galen, Michiel; Arindrarto, Wibowo; Kielbasa, Szymon M.; Swertz, Morris A.; van Zwet, Erik W.; Isaacs, Aaron; Franke, Lude; Suchiman, H. Eka; Jansen, Rick; van Meurs, Joyce B.; Heijmans, Bastiaan T.; Slagboom, P. Eline; Boomsma, Dorret I.

    2016-01-01

    The methylome is subject to genetic and environmental effects. Their impact may depend on sex and age, resulting in sex- and age-related physiological variation and disease susceptibility. Here we estimate the total heritability of DNA methylation levels in whole blood and estimate the variance explained by common single nucleotide polymorphisms at 411,169 sites in 2,603 individuals from twin families, to establish a catalogue of between-individual variation in DNA methylation. Heritability estimates vary across the genome (mean=19%) and interaction analyses reveal thousands of sites with sex-specific heritability as well as sites where the environmental variance increases with age. Integration with previously published data illustrates the impact of genome and environment across the lifespan at methylation sites associated with metabolic traits, smoking and ageing. These findings demonstrate that our catalogue holds valuable information on locations in the genome where methylation variation between people may reflect disease-relevant environmental exposures or genetic variation. PMID:27051996

  8. Cuckoo search epistasis: a new method for exploring significant genetic interactions.

    PubMed

    Aflakparast, M; Salimi, H; Gerami, A; Dubé, M-P; Visweswaran, S; Masoudi-Nejad, A

    2014-06-01

    The advent of high-throughput sequencing technology has resulted in the ability to measure millions of single-nucleotide polymorphisms (SNPs) from thousands of individuals. Although these high-dimensional data have paved the way for better understanding of the genetic architecture of common diseases, they have also given rise to challenges in developing computational methods for learning epistatic relationships among genetic markers. We propose a new method, named cuckoo search epistasis (CSE) for identifying significant epistatic interactions in population-based association studies with a case-control design. This method combines a computationally efficient Bayesian scoring function with an evolutionary-based heuristic search algorithm, and can be efficiently applied to high-dimensional genome-wide SNP data. The experimental results from synthetic data sets show that CSE outperforms existing methods including multifactorial dimensionality reduction and Bayesian epistasis association mapping. In addition, on a real genome-wide data set related to Alzheimer's disease, CSE identified SNPs that are consistent with previously reported results, and show the utility of CSE for application to genome-wide data.

  9. Genetic interactions among cortical malformation genes that influence susceptibility to convulsions in C. elegans.

    PubMed

    Locke, Cody J; Williams, Shelli N; Schwarz, Erich M; Caldwell, Guy A; Caldwell, Kim A

    2006-11-20

    Epilepsy is estimated to affect 1-2% of the world population, yet remains poorly understood at a molecular level. We have previously established the roundworm Caenorhabditis elegans as a model for investigating genetic susceptibilities to seizure-like convulsions in vivo. Here we investigate the behavioral consequences of decreasing the activity of nematode gene homologs within the LIS1 pathway that are associated with a human cortical malformation termed lissencephaly. Bioinformatic analysis revealed the nud-2 gene, encoding the worm homolog of mammalian effectors of LIS1, termed NDE1 and NDEL1. Phenotypic analysis of animals targeted by RNA interference (RNAi) was performed using a pentylenetetrazole (PTZ) exposure paradigm to induce convulsions. Worms depleted for LIS1 pathway components (NUD-1, NUD-2, DHC-1, CDK-5, and CDKA-1) exhibited significant convulsions following PTZ and RNAi treatment. Strains harboring fluorescent markers for GABAergic neuronal architecture and synaptic vesicle trafficking were employed to discern putative mechanisms accounting for observed convulsion behaviors. We found that depletion of LIS1 pathway components resulted in defective GABA synaptic vesicle trafficking. We also utilized combinations of specific genetic backgrounds to create a sensitized state for convulsion susceptibility and discovered that convulsion effects were significantly enhanced when LIS-1 and other pathway components were compromised within the same animals. Thus, interactions among gene products with LIS-1 may mediate intrinsic thresholds of neuronal synchrony.

  10. Unraveling inflammatory responses using systems genetics and gene-environment interactions in macrophages

    PubMed Central

    Orozco, Luz D.; Bennett, Brian J.; Farber, Charles R.; Ghazalpour, Anatole; Pan, Calvin; Che, Nam; Wen, Pingzi; Qi, Hong Xiu; Mutukulu, Adonisa; Siemers, Nathan; Neuhaus, Isaac; Yordanova, Roumyana; Gargalovic, Peter; Pellegrini, Matteo; Kirchgessner, Todd; Lusis, Aldons J.

    2012-01-01

    SUMMARY Many common diseases have an important inflammatory component mediated in part by macrophages. Here we used a systems genetics strategy to examine the role of common genetic variation in macrophage responses to inflammatory stimuli. We examined genome-wide transcript levels in macrophages from 92 strains of the Hybrid Mouse Diversity Panel. We exposed macrophages to control media, bacterial lipopolysaccharide, or oxidized phospholipids. We performed association mapping under each condition and identified several thousand expression quantitative trait loci (eQTL), gene-by-environment interactions and several eQTL “hotspots” that specifically control LPS responses. We validated an eQTL hotspot in chromosome 8 using siRNA knock-down of candidate genes and identified the gene 2310061C15Rik, as a novel regulator of inflammatory responses in macrophages. We have created a public database where the data presented here can be used as a resource for understanding many common inflammatory traits which are modeled in the mouse, and for the dissection of regulatory relationships between genes. PMID:23101632

  11. Unraveling inflammatory responses using systems genetics and gene-environment interactions in macrophages.

    PubMed

    Orozco, Luz D; Bennett, Brian J; Farber, Charles R; Ghazalpour, Anatole; Pan, Calvin; Che, Nam; Wen, Pingzi; Qi, Hong Xiu; Mutukulu, Adonisa; Siemers, Nathan; Neuhaus, Isaac; Yordanova, Roumyana; Gargalovic, Peter; Pellegrini, Matteo; Kirchgessner, Todd; Lusis, Aldons J

    2012-10-26

    Many common diseases have an important inflammatory component mediated in part by macrophages. Here we used a systems genetics strategy to examine the role of common genetic variation in macrophage responses to inflammatory stimuli. We examined genome-wide transcript levels in macrophages from 92 strains of the Hybrid Mouse Diversity Panel. We exposed macrophages to control media, bacterial lipopolysaccharide (LPS), or oxidized phospholipids. We performed association mapping under each condition and identified several thousand expression quantitative trait loci (eQTL), gene-by-environment interactions, and eQTL "hot spots" that specifically control LPS responses. We used siRNA knockdown of candidate genes to validate an eQTL hot spot in chromosome 8 and identified the gene 2310061C15Rik as a regulator of inflammatory responses in macrophages. We have created a public database where the data presented here can be used as a resource for understanding many common inflammatory traits that are modeled in the mouse and for the dissection of regulatory relationships between genes.

  12. Genetic analysis of Caenorhabditis elegans glp-1 mutants suggests receptor interaction or competition.

    PubMed Central

    Pepper, Anita S-R; Killian, Darrell J; Hubbard, E Jane Albert

    2003-01-01

    glp-1 encodes a member of the highly conserved LIN-12/Notch family of receptors that mediates the mitosis/meiosis decision in the C. elegans germline. We have characterized three mutations that represent a new genetic and phenotypic class of glp-1 mutants, glp-1(Pro). The glp-1(Pro) mutants display gain-of-function germline pattern defects, most notably a proximal proliferation (Pro) phenotype. Each of three glp-1(Pro) alleles encodes a single amino acid change in the extracellular part of the receptor: two in the LIN-12/Notch repeats (LNRs) and one between the LNRs and the transmembrane domain. Unlike other previously described gain-of-function mutations that affect this region of LIN-12/Notch family receptors, the genetic behavior of glp-1(Pro) alleles is not consistent with simple hypermorphic activity. Instead, the mutant phenotype is suppressed by wild-type doses of glp-1. Moreover, a trans-heterozygous combination of two highly penetrant glp-1(Pro) mutations is mutually suppressing. These results lend support to a model for a higher-order receptor complex and/or competition among receptor proteins for limiting factors that are required for proper regulation of receptor activity. Double-mutant analysis with suppressors and enhancers of lin-12 and glp-1 further suggests that the functional defect in glp-1(Pro) mutants occurs prior to or at the level of ligand interaction. PMID:12586701

  13. Interactions between Genetic and Ecological Effects on the Evolution of Life Cycles.

    PubMed

    Rescan, Marie; Lenormand, Thomas; Roze, Denis

    2016-01-01

    Sexual reproduction leads to an alternation between haploid and diploid phases, whose relative length varies widely across taxa. Previous genetical models showed that diploid or haploid life cycles may be favored, depending on dominance interactions and on effective recombination rates. By contrast, niche differentiation between haploids and diploids may favor biphasic life cycles, in which development occurs in both phases. In this article, we explore the interplay between genetical and ecological factors, assuming that deleterious mutations affect the competitivity of individuals within their ecological niche and allowing different effects of mutations in haploids and diploids (including antagonistic selection). We show that selection on a modifier gene affecting the relative length of both phases can be decomposed into a direct selection term favoring the phase with the highest mean fitness (due to either ecological differences or differential effects of mutations) and an indirect selection term favoring the phase in which selection is more efficient. When deleterious alleles occur at many loci and in the presence of ecological differentiation between haploids and diploids, evolutionary branching often occurs and leads to the stable coexistence of alleles coding for haploid and diploid cycles, while temporal variations in niche sizes may stabilize biphasic cycles.

  14. Structural and Functional Characterization of a Caenorhabditis elegans Genetic Interaction Network within Pathways

    PubMed Central

    Boucher, Benjamin; Lee, Anna Y.; Hallett, Michael; Jenna, Sarah

    2016-01-01

    A genetic interaction (GI) is defined when the mutation of one gene modifies the phenotypic expression associated with the mutation of a second gene. Genome-wide efforts to map GIs in yeast revealed structural and functional properties of a GI network. This provided insights into the mechanisms underlying the robustness of yeast to genetic and environmental insults, and also into the link existing between genotype and phenotype. While a significant conservation of GIs and GI network structure has been reported between distant yeast species, such a conservation is not clear between unicellular and multicellular organisms. Structural and functional characterization of a GI network in these latter organisms is consequently of high interest. In this study, we present an in-depth characterization of ~1.5K GIs in the nematode Caenorhabditis elegans. We identify and characterize six distinct classes of GIs by examining a wide-range of structural and functional properties of genes and network, including co-expression, phenotypical manifestations, relationship with protein-protein interaction dense subnetworks (PDS) and pathways, molecular and biological functions, gene essentiality and pleiotropy. Our study shows that GI classes link genes within pathways and display distinctive properties, specifically towards PDS. It suggests a model in which pathways are composed of PDS-centric and PDS-independent GIs coordinating molecular machines through two specific classes of GIs involving pleiotropic and non-pleiotropic connectors. Our study provides the first in-depth characterization of a GI network within pathways of a multicellular organism. It also suggests a model to understand better how GIs control system robustness and evolution. PMID:26871911

  15. Genetic Cross-Interaction between APOE and PRNP in Sporadic Alzheimer's and Creutzfeldt-Jakob Diseases

    PubMed Central

    Calero, Olga; Bullido, María J.; Clarimón, Jordi; Frank-García, Ana; Martínez-Martín, Pablo; Lleó, Alberto; Rey, María Jesús; Rábano, Alberto; Blesa, Rafael; Gómez-Isla, Teresa; Valdivieso, Fernando; de Pedro-Cuesta, Jesús; Ferrer, Isidro; Calero, Miguel

    2011-01-01

    Alzheimer's disease (AD) and Creutzfeldt-Jakob disease (CJD) represent two distinct clinical entities belonging to a wider group, generically named as conformational disorders that share common pathophysiologic mechanisms. It is well-established that the APOE ε4 allele and homozygosity at polymorphic codon 129 in the PRNP gene are the major genetic risk factors for AD and human prion diseases, respectively. However, the roles of PRNP in AD, and APOE in CJD are controversial. In this work, we investigated for the first time, APOE and PRNP genotypes simultaneously in 474 AD and 175 sporadic CJD (sCJD) patients compared to a common control population of 335 subjects. Differences in genotype distribution between patients and control subjects were studied by logistic regression analysis using age and gender as covariates. The effect size of risk association and synergy factors were calculated using the logistic odds ratio estimates. Our data confirmed that the presence of APOE ε4 allele is associated with a higher risk of developing AD, while homozygosity at PRNP gene constitutes a risk for sCJD. Opposite, we found no association for PRNP with AD, nor for APOE with sCJD. Interestingly, when AD and sCJD patients were stratified according to their respective main risk genes (APOE for AD, and PRNP for sCJD), we found statistically significant associations for the other gene in those strata at higher previous risk. Synergy factor analysis showed a synergistic age-dependent interaction between APOE and PRNP in both AD (SF = 3.59, p = 0.027), and sCJD (SF = 7.26, p = 0.005). We propose that this statistical epistasis can partially explain divergent data from different association studies. Moreover, these results suggest that the genetic interaction between APOE and PRNP may have a biological correlate that is indicative of shared neurodegenerative pathways involved in AD and sCJD. PMID:21799773

  16. Interactive effects between trichloroethylene and pesticides at metabolic and genetic level in mice.

    PubMed

    Hrelia, P; Maffei, F; Vigagni, F; Fimognari, C; Flori, P; Stanzani, R; Cantelli Forti, G

    1994-11-01

    A combined cytogeneticurine metabolite analysis approach was used to assess potential interactive effects between Fenarimol (FN), a fungicide, and trichloroethylene (TRI), a halogenated solvent. FN was demonstrated to selectively induce P450-2B1 isoforms in different organs of treated mice. Since the rate of metabolism and the stereospecificity of metabolism are dependent on the types and amount of P450s available, FN might drastically alter the metabolic activation of a precarcinogen, such as TRI, and its toxicological consequences. Male CD1 mice were divided into untreated, vehicle control, and experimental groups. Animals of the latter groups were treated ip with 150 mg/kg bw FN in corn oil, 457 mg/kg bw TRI in corn oil, TRI plus FN separated by different time intervals. Bone marrow cells were harvested for determination of micronuclei (MN) frequencies in polychromatic erythrocytes (PCE). The presence of the known metabolite of TRI, trichloroethanol (TCE), was quantitated in collected urine by gas chromatography using an electron-capture detector. Linear regression analysis shows that MN frequency by TRI is correlated with TCE concentration in urine. Observed potentiation of genotoxicity of TRI by FN pretreatment (1 hr before TRI treatment) apparently reflects changes in the spectra of enzymes involved in TRI metabolism, and altered toxicokinetic, as witnessed by the 20% difference in TCE excretion from combined treated mice. However, no increased genetic or metabolic effects were observed when FN was administered 3 hr before TRI. No significant interactive effects were observed at a genetic level when FN was administered 1 hr and 3 hr after TRI whereas a 33 to 47% loss in TCE excretion was recorded.(ABSTRACT TRUNCATED AT 250 WORDS)

  17. Use of Genetic Effects and Genotype by Environmental Interactions for the Classification of Mexican Races of Maize

    PubMed Central

    Cervantes, Tarcicio S.; Goodman, Major M.; Casas, Eduardo D.; Rawlings, John O.

    1978-01-01

    To examine the questions of whether the additive and dominance effects present for morphological characters in racial crosses are of sufficient consistency and magnitude to allow such genetic effects to be used for racial classification, we used a diallel experiment among the 25 well-defined Mexican races of maize, which include the ancestral stocks of most commercial and genetic maize types. With such an experiment, genetic effects and genotype by environmental interactions for one or more characters can be used to measure genetic and adaptational or environmental similarity. We used average parental effects (general combining abilities), specific effects, and genotype by environmental effects of 21 characters from the diallel (grown at three locations) to group the Mexican races of maize. The groupings based upon average genetic effects and upon genotype by environmental interactions are more satisfactory than groupings based upon specific effects. The standard errors for genetic distances based upon specific (largely dominance) effects seem to be too high for practical use. Principal components analyses of the same data suggest a similar conclusion.—The groupings based upon average genetic effects are in general agreement with previous studies, with the exception of Maíz Dulce, which is grouped with the Cónicos, rather than being isolated from the other Mexican races of maize. PMID:17248866

  18. Genetic Elucidation of Nitric Oxide Signaling in Incompatible Plant-Pathogen Interactions[w

    PubMed Central

    Zeier, Jürgen; Delledonne, Massimo; Mishina, Tatiana; Severi, Emmanuele; Sonoda, Masatoshi; Lamb, Chris

    2004-01-01

    Recent experiments indicate that nitric oxide (NO) plays a pivotal role in disease resistance and several other physiological processes in plants. However, most of the current information about the function of NO in plants is based on pharmacological studies, and additional approaches are therefore required to ascertain the role of NO as an important signaling molecule in plants. We have expressed a bacterial nitric oxide dioxygenase (NOD) in Arabidopsis plants and/or avirulent Pseudomonas syringae pv tomato to study incompatible plant-pathogen interactions impaired in NO signaling. NOD expression in transgenic Arabidopsis resulted in decreased NO levels in planta and attenuated a pathogen-induced NO burst. Moreover, NOD expression in plant cells had very similar effects on plant defenses compared to NOD expression in avirulent Pseudomonas. The defense responses most affected by NO reduction during the incompatible interaction were decreased H2O2 levels during the oxidative burst and a blockage of Phe ammonia lyase expression, the key enzyme in the general phenylpropanoid pathway. Expression of the NOD furthermore blocked UV light-induced Phe ammonia lyase and chalcone synthase gene expression, indicating a general signaling function of NO in the activation of the phenylpropanoid pathway. NO possibly functions in incompatible plant-pathogen interactions by inhibiting the plant antioxidative machinery, and thereby ensuring locally prolonged H2O2 levels. Additionally, albeit to a lesser extent, we observed decreases in salicylic acid production, a diminished development of hypersensitive cell death, and a delay in pathogenesis-related protein 1 expression during these NO-deficient plant-pathogen interactions. Therefore, this genetic approach confirms that NO is an important regulatory component in the signaling network of plant defense responses. PMID:15347797

  19. Intramolecular interactions in aminoacyl nucleotides: Implications regarding the origin of genetic coding and protein synthesis

    NASA Technical Reports Server (NTRS)

    Lacey, J. C., Jr.; Mullins, D. W., Jr.; Watkins, C. L.; Hall, L. M.

    1986-01-01

    Cellular organisms store information as sequences of nucleotides in double stranded DNA. This information is useless unless it can be converted into the active molecular species, protein. This is done in contemporary creatures first by transcription of one strand to give a complementary strand of mRNA. The sequence of nucleotides is then translated into a specific sequence of amino acids in a protein. Translation is made possible by a genetic coding system in which a sequence of three nucleotides codes for a specific amino acid. The origin and evolution of any chemical system can be understood through elucidation of the properties of the chemical entities which make up the system. There is an underlying logic to the coding system revealed by a correlation of the hydrophobicities of amino acids and their anticodonic nucleotides (i.e., the complement of the codon). Its importance lies in the fact that every amino acid going into protein synthesis must first be activated. This is universally accomplished with ATP. Past studies have concentrated on the chemistry of the adenylates, but more recently we have found, through the use of NMR, that we can observe intramolecular interactions even at low concentrations, between amino acid side chains and nucleotide base rings in these adenylates. The use of this type of compound thus affords a novel way of elucidating the manner in which amino acids and nucleotides interact with each other. In aqueous solution, when a hydrophobic amino acid is attached to the most hydrophobic nucleotide, AMP, a hydrophobic interaction takes place between the amino acid side chain and the adenine ring. The studies to be reported concern these hydrophobic interactions.

  20. Pleiotropy and genotype by diet interaction: A multivariate genetic analysis of HDL-C subfractions

    SciTech Connect

    Mahaney, M.C.; Blangero, J.; Comuzzie, A.G.

    1994-09-01

    Reduced high density lipoprotein cholesterol (HDL-C) is a risk factor for cardiovascular disease in humans. Both major genes and major genotype by diet interaction have been reported for HDL-C, but the genetics of the HDL-C subfractions are less well known. In a baboon model for human atherosclerosis, we investigated the pleiotropic effects of genes on normal quantitative variation in three HDL-C subfractions (HDL{sub 1}-C, HDL{sub 2}-C, and HDL{sub 3}-C) in two dietary environments -- a basal diet and a 7 week high cholesterol, saturated fat (HCSF) diet. We analyzed data on serum HDL-C subfraction levels, quantified by gradient gel eletrophoresis, for 942 baboons (Papo hamadryas, sensu lato) from 17 pedigrees. We used multivariate maximum likelihood methods to simultaneously estimate phenotypic means, standard deviations, and heritabilities (h{sup 2}); effects of sex, age-by-sex, age{sup 2}-by-sex, percent subspecies admixture, and infant feeding modality; plus estimated significant h{sup 2} values for all three subfractions on both diets. When tested within dietary environments, we obtained significant genetic correlations between all three subfractions [i.e., P({rho}{sub G} = 0) < 0.001] and evidence of complete pleiotropy [i.e., P({vert_bar}{rho}{sub G}{vert_bar} = 1.0) > 0.1] between HDL{sub 1}-C and HDL{sub 3}-C ({rho}{sub G} = 0.81) on the basal diet. On the HCSF diet, only the genetic correlation between HDL{sub 1}-C and HDL{sub 3}-C ({rho}{sub g} = 0.61) was significant (p > 0.1). Complete pleiotropy was observed for each of the three subfractions between both diets. Given these results, we reject genotype by diet interaction for HDL{sub 1}-C, HDL{sub 2}-C or HDL{sub 3}-C; i.e., the same genes influence variation in each subfraction to the same degree on either diet. However, the apparent disruption of pleiotropy between HDL{sub 2}-C and the other two subfractions needs to be investigated further.

  1. Genetic and Physical Interaction of the B-Cell SLE-Associated Genes BANK1 and BLK

    PubMed Central

    Castillejo-López, Casimiro; Delgado-Vega, Angélica M.; Wojcik, Jerome; Kozyrev, Sergey V.; Thavathiru, Elangovan; Wu, Ying-Yu; Sánchez, Elena; Pöllmann, David; López-Egido, Juan R.; Fineschi, Serena; Domínguez, Nicolás; Lu, Rufei; James, Judith A.; Merrill, Joan T.; Kelly, Jennifer A.; Kaufman, Kenneth M.; Moser, Kathy; Gilkeson, Gary; Frostegård, Johan; Pons-Estel, Bernardo A.; D’Alfonso, Sandra; Witte, Torsten; Callejas, José Luis; Harley, John B.; Gaffney, Patrick; Martin, Javier; Guthridge, Joel M.; Alarcón-Riquelme, Marta E.

    2012-01-01

    Objectives Altered signaling in B-cells is a predominant feature of systemic lupus erythematosus (SLE). The genes BANK1 and BLK were recently described as associated with SLE. BANK1 codes for a B-cell-specific cytoplasmic protein involved in B-cell receptor signaling and BLK codes for an Src tyrosine kinase with important roles in B-cell development. To characterize the role of BANK1 and BLK in SLE, we performed a genetic interaction analysis hypothesizing that genetic interactions could reveal functional pathways relevant to disease pathogenesis. Methods We Used the method GPAT16 to analyze the gene-gene interactions of BANK1 and BLK. Confocal microscopy was used to investigate co-localization, and immunoprecipitation was used to verify the physical interaction of BANK1 and BLK. Results Epistatic interactions between BANK1 and BLK polymorphisms associated with SLE were observed in a discovery set of 279 patients and 515 controls from Northern Europe. A meta-analysis with 4399 European individuals confirmed the genetic interactions between BANK1 and BLK. As BANK1 was identified as a binding partner of the Src tyrosine kinase LYN, we tested the possibility that BANK1 and BLK could also show a protein-protein interaction. We demonstrated co-immunoprecipitation and co-localization of BLK and BANK1. In a Daudi cell line and primary naïve B-cells the endogenous binding was enhanced upon B-cell receptor stimulation using anti-IgM antibodies. Conclusions Here, we show a genetic interaction between BANK1 and BLK, and demonstrate that these molecules interact physically. Our results have important consequences for the understanding of SLE and other autoimmune diseases and identify a potential new signaling pathway. PMID:21978998

  2. Modelling molecule-surface interactions--an automated quantum-classical approach using a genetic algorithm.

    PubMed

    Herbers, Claudia R; Johnston, Karen; van der Vegt, Nico F A

    2011-06-14

    We present an automated and efficient method to develop force fields for molecule-surface interactions. A genetic algorithm (GA) is used to parameterise a classical force field so that the classical adsorption energy landscape of a molecule on a surface matches the corresponding landscape from density functional theory (DFT) calculations. The procedure performs a sophisticated search in the parameter phase space and converges very quickly. The method is capable of fitting a significant number of structures and corresponding adsorption energies. Water on a ZnO(0001) surface was chosen as a benchmark system but the method is implemented in a flexible way and can be applied to any system of interest. In the present case, pairwise Lennard Jones (LJ) and Coulomb potentials are used to describe the molecule-surface interactions. In the course of the fitting procedure, the LJ parameters are refined in order to reproduce the adsorption energy landscape. The classical model is capable of describing a wide range of energies, which is essential for a realistic description of a fluid-solid interface.

  3. Gene interactions and genetics of blast resistance and yield attributes in rice (Oryza sativa L.).

    PubMed

    Divya, B; Biswas, A; Robin, S; Rabindran, R; Joel, A John

    2014-08-01

    Blast disease caused by the pathogen Pyricularia oryzae is a serious threat to rice production. Six generations viz., P1, P2, F1, F2, B1 and B2 of a cross between blast susceptible high-yielding rice cultivar ADT 43 and resistant near isogenic line (NIL) CT13432-3R, carrying four blast resistance genes Pi1, Pi2, Pi33 and Pi54 in combination were used to study the nature and magnitude of gene action for disease resistance and yield attributes. The epistatic interaction model was found adequate to explain the gene action in most of the traits. The interaction was complementary for number of productive tillers, economic yield, lesion number, infected leaf area and potential disease incidence but duplicate epistasis was observed for the remaining traits. Among the genotypes tested under epiphytotic conditions, gene pyramided lines were highly resistant to blast compared to individuals with single genes indicating that the nonallelic genes have a complementary effect when present together. The information on genetics of various contributing traits of resistance will further aid plant breeders in choosing appropriate breeding strategy for blast resistance and yield enhancement in rice.

  4. Genetics

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The genus Capsicum represents one of several well characterized Solanaceous genera. A wealth of classical and molecular genetics research is available for the genus. Information gleaned from its cultivated relatives, tomato and potato, provide further insight for basic and applied studies. Early ...

  5. Genetics

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Maintaining genetic variation in wild populations of Arctic organisms is fundamental to the long-term persistence of high latitude biodiversity. Variability is important because it provides options for species to respond to changing environmental conditions and novel challenges such as emerging path...

  6. Morphology and its underlying genetic regulation impact the interaction between Cryptococcus neoformans and its hosts.

    PubMed

    Lin, Jianfeng; Idnurm, Alexander; Lin, Xiaorong

    2015-06-01

    Cryptococcus neoformans is a fungus that causes the majority of fatal cryptococcal meningitis cases worldwide. This pathogen is capable of assuming different morphotypes: yeast, pseudohypha, and hypha. The yeast form is the most common cell type observed clinically. The hyphal and pseudohyphal forms are rarely observed in the clinical setting and are considered attenuated in virulence. However, as a ubiquitous environmental pathogen, Cryptococcus interacts with various organisms, and it is known to be parasitic to different hosts. Capitalizing on recent discoveries, morphogenesis regulators were manipulated to examine the impact of cell shape on the cryptococcal interaction with three different host systems: the soil amoeba Acanthamoeba castellanii (a protist), the greater wax moth Galleria mellonella (an insect), and the murine macrophage cell line J774A.1 (mammalian cells). The regulation of Ace2 and morphogenesis (RAM) pathway is a highly conserved pathway among eukaryotes that regulates cytokinesis. Disruption of any of five RAM components in Cryptococcus renders cells constitutively in the pseudohyphal form. The transcription factor Znf2 is the master activator of the yeast to hyphal transition. Deletion of ZNF2 locks cells in the yeast form, while overexpression of this regulator drives hyphal growth. Genetic epistasis analyses indicate that the RAM and the Znf2 pathways regulate distinct aspects of cryptococcal morphogenesis and independently of each other. These investigations using the Cryptococcus RAM and ZNF2 mutants indicate that cell shape, cell size, and likely cell surface properties weigh differently on the outcome of cryptococcal interactions with different hosts. Thus, certain traits evolved in Cryptococcus that are beneficial within one host might be detrimental when a different host is encountered.

  7. Genetics, mental illness, and complex disease: development and distribution of an interactive CD-ROM for genetic counselors. Final report for period 15 August 2000 - 31 December 2002

    SciTech Connect

    McInerney, Joseph D.

    2003-03-31

    "Genetics and Major Psychiatric Disorders: A Program for Genetic Counselors" provides an introduction to psychiatric genetics, with a focus on the genetics of common complex disease, for genetics professionals. The program is available as a CD-ROM and an online educational resource. The on-line version requires a direct internet connection. Each educational module begins with an interactive case study that raises significant issues addressed in each module. In addition, case studies provided throughout the educational materials support teaching of major concepts. Incorporated throughout the content are expert video clips, video clips from individuals affected by psychiatric illness, and optional "learn more" materials that offer greater depth about a particular topic. The structure of the CD-ROM permits self-navigation, but we have suggested a sequence that allows materials to build upon each other. At any point in the materials, users may pause and look up terms in the glossary or review the DSM-IV criteria for selected psychiatric disorders. A detailed site map is available for those who choose to self navigate through the content.

  8. Complex Genotype by Environment interactions and changing genetic architectures across thermal environments in the Australian field cricket, Teleogryllus oceanicus

    PubMed Central

    2011-01-01

    Background Biologists studying adaptation under sexual selection have spent considerable effort assessing the relative importance of two groups of models, which hinge on the idea that females gain indirect benefits via mate discrimination. These are the good genes and genetic compatibility models. Quantitative genetic studies have advanced our understanding of these models by enabling assessment of whether the genetic architectures underlying focal phenotypes are congruent with either model. In this context, good genes models require underlying additive genetic variance, while compatibility models require non-additive variance. Currently, we know very little about how the expression of genotypes comprised of distinct parental haplotypes, or how levels and types of genetic variance underlying key phenotypes, change across environments. Such knowledge is important, however, because genotype-environment interactions can have major implications on the potential for evolutionary responses to selection. Results We used a full diallel breeding design to screen for complex genotype-environment interactions, and genetic architectures underlying key morphological traits, across two thermal environments (the lab standard 27°C, and the cooler 23°C) in the Australian field cricket, Teleogryllus oceanicus. In males, complex three-way interactions between sire and dam parental haplotypes and the rearing environment accounted for up to 23 per cent of the scaled phenotypic variance in the traits we measured (body mass, pronotum width and testes mass), and each trait harboured significant additive genetic variance in the standard temperature (27°C) only. In females, these three-way interactions were less important, with interactions between the paternal haplotype and rearing environment accounting for about ten per cent of the phenotypic variance (in body mass, pronotum width and ovary mass). Of the female traits measured, only ovary mass for crickets reared at the cooler

  9. The Genetic Paradox of Invasions revisited: the potential role of inbreeding × environment interactions in invasion success.

    PubMed

    Schrieber, Karin; Lachmuth, Susanne

    2017-05-01

    Invasive species that successfully establish, persist, and expand within an area of introduction, in spite of demographic bottlenecks that reduce their genetic diversity, represent a paradox. Bottlenecks should inhibit population growth and invasive expansion, as a decrease in genetic diversity should result in inbreeding depression, increased fixation of deleterious mutations by genetic drift (drift load), and reduced evolutionary potential to respond to novel selection pressures. Here, we focus on the problems of inbreeding depression and drift load in introduced populations as key components of the Genetic Paradox of Invasions (GPI). We briefly review published explanations for the GPI, which are based on various mechanisms (invasion history events, reproductive traits, genetic characteristics) that mediate the avoidance of inbreeding depression and drift load. We find that there is still a substantial lack of explanation and empirical evidence for explaining the GPI for strongly bottlenecked invasions, or for during critical invasion phases (e.g. initial colonization, leading edges of range expansion) where strong genetic depletion, inbreeding depression and drift load occurs. Accordingly, we suggest that discussion of the GPI should be revived to find additional mechanisms applicable to explaining invasion success for such species and invasion phases. Based on a synthesis of the literature on the population genetics of invaders and the ecology of invaded habitats, we propose that inbreeding × environment (I × E) interactions are one such mechanism that may have strong explanatory power to address the GPI. Specifically, we suggest that a temporary or permanent release from stress in invaded habitats may alleviate the negative effects of genetic depletion on fitness via I × E interactions, and present published empirical evidence supporting this hypothesis. We additionally discuss that I × E interactions can result in rapid evolutionary changes, and may even

  10. The evolution of a visual-to-auditory sensory substitution device using interactive genetic algorithms.

    PubMed

    Wright, Thomas; Ward, Jamie

    2013-08-01

    Sensory substitution is a promising technique for mitigating the loss of a sensory modality. Sensory substitution devices (SSDs) work by converting information from the impaired sense (e.g., vision) into another, intact sense (e.g., audition). However, there are a potentially infinite number of ways of converting images into sounds, and it is important that the conversion takes into account the limits of human perception and other user-related factors (e.g., whether the sounds are pleasant to listen to). The device explored here is termed "polyglot" because it generates a very large set of solutions. Specifically, we adapt a procedure that has been in widespread use in the design of technology but has rarely been used as a tool to explore perception-namely, interactive genetic algorithms. In this procedure, a very large range of potential sensory substitution devices can be explored by creating a set of "genes" with different allelic variants (e.g., different ways of translating luminance into loudness). The most successful devices are then "bred" together, and we statistically explore the characteristics of the selected-for traits after multiple generations. The aim of the present study is to produce design guidelines for a better SSD. In three experiments, we vary the way that the fitness of the device is computed: by asking the user to rate the auditory aesthetics of different devices (Experiment 1), and by measuring the ability of participants to match sounds to images (Experiment 2) and the ability to perceptually discriminate between two sounds derived from similar images (Experiment 3). In each case, the traits selected for by the genetic algorithm represent the ideal SSD for that task. Taken together, these traits can guide the design of a better SSD.

  11. Conserved Genetic Interactions between Ciliopathy Complexes Cooperatively Support Ciliogenesis and Ciliary Signaling

    PubMed Central

    Bowie, Rachel V.; Li, Chunmei; Kennedy, Julie K.; Ashrafi, Kaveh; Blacque, Oliver E.; Leroux, Michel R.; Reiter, Jeremy F.

    2015-01-01

    Mutations in genes encoding cilia proteins cause human ciliopathies, diverse disorders affecting many tissues. Individual genes can be linked to ciliopathies with dramatically different phenotypes, suggesting that genetic modifiers may participate in their pathogenesis. The ciliary transition zone contains two protein complexes affected in the ciliopathies Meckel syndrome (MKS) and nephronophthisis (NPHP). The BBSome is a third protein complex, affected in the ciliopathy Bardet-Biedl syndrome (BBS). We tested whether mutations in MKS, NPHP and BBS complex genes modify the phenotypic consequences of one another in both C. elegans and mice. To this end, we identified TCTN-1, the C. elegans ortholog of vertebrate MKS complex components called Tectonics, as an evolutionarily conserved transition zone protein. Neither disruption of TCTN-1 alone or together with MKS complex components abrogated ciliary structure in C. elegans. In contrast, disruption of TCTN-1 together with either of two NPHP complex components, NPHP-1 or NPHP-4, compromised ciliary structure. Similarly, disruption of an NPHP complex component and the BBS complex component BBS-5 individually did not compromise ciliary structure, but together did. As in nematodes, disrupting two components of the mouse MKS complex did not cause additive phenotypes compared to single mutants. However, disrupting both Tctn1 and either Nphp1 or Nphp4 exacerbated defects in ciliogenesis and cilia-associated developmental signaling, as did disrupting both Tctn1 and the BBSome component Bbs1. Thus, we demonstrate that ciliary complexes act in parallel to support ciliary function and suggest that human ciliopathy phenotypes are altered by genetic interactions between different ciliary biochemical complexes. PMID:26540106

  12. Detection of the V1016G mutation in the voltage-gated sodium channel gene of Aedes aegypti (Diptera: Culicidae) by allele-specific PCR assay, and its distribution and effect on deltamethrin resistance in Thailand

    PubMed Central

    2013-01-01

    Background Resistance to pyrethroid insecticides is widespread among populations of Aedes aegypti, the main vector for the dengue virus. Several different point mutations within the voltage-gated sodium channel (VGSC) gene contribute to such resistance. A mutation at position 1016 in domain II, segment 6 of the VGSC gene in Ae. aegypti leads to a valine to glycine substitution (V1016G) that confers resistance to deltamethrin. Methods This study developed and utilized an allele-specific PCR (AS-PCR) assay that could be used to detect the V1016G mutation. The assay was validated against a number of sequenced DNA samples of known genotype and was determined to be in complete agreement. Larvae and pupae were collected from various localities throughout Thailand. Samples were reared to adulthood and their resistance status against deltamethrin was determined by standard WHO susceptibility bioassays. Deltamethrin-resistant and susceptible insects were then genotyped for the V1016G mutation. Additionally, some samples were genotyped for a second mutation at position 1534 in domain III (F1534C) which is also known to confer pyrethroid resistance. Results The bioassay results revealed an overall mortality of 77.6%. Homozygous 1016G individuals survived at higher rates than either heterozygous or wild-type (1016 V) mosquitoes. The 1016G mutation was significantly and positively associated with deltamethrin resistance and was widely distributed throughout Thailand. Interestingly, wild-type 1016 V mosquitoes tested were homozygous for the 1534C mutation, and all heterozygous mosquitoes were also heterozygous for 1534C. Mutant homozygous (G/G) mosquitoes expressed the wild-type (F/F) at position 1534. However, the presence of the 1534C mutation was not associated with deltamethrin resistance. Conclusions Our bioassay results indicate that all populations sampled display some degree of resistance to deltamethrin. Homozygous 1016G mosquitoes were far likelier to survive such

  13. Identifying ionic interactions within a membrane using BLaTM, a genetic tool to measure homo- and heterotypic transmembrane helix-helix interactions

    PubMed Central

    Schanzenbach, Christoph; Schmidt, Fabian C.; Breckner, Patrick; Teese, Mark G.; Langosch, Dieter

    2017-01-01

    The assembly of integral membrane protein complexes is frequently supported by transmembrane domain (TMD) interactions. Here, we present the BLaTM assay that measures homotypic as well as heterotypic TMD-TMD interactions in a bacterial membrane. The system is based on complementation of β-lactamase fragments genetically fused to interacting TMDs, which confers ampicillin resistance to expressing cells. We validated BLaTM by showing that the assay faithfully reports known sequence-specific interactions of both types. In a practical application, we used BLaTM to screen a focussed combinatorial library for heterotypic interactions driven by electrostatic forces. The results reveal novel patterns of ionizable amino acids within the isolated TMD pairs. Those patterns indicate that formation of heterotypic TMD pairs is most efficiently supported by closely spaced ionizable residues of opposite charge. In addition, TMD heteromerization can apparently be driven by hydrogen bonding between basic or between acidic residues. PMID:28266525

  14. Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network.

    PubMed

    Iossifov, Ivan; Zheng, Tian; Baron, Miron; Gilliam, T Conrad; Rzhetsky, Andrey

    2008-07-01

    Common hereditary neurodevelopmental disorders such as autism, bipolar disorder, and schizophrenia are most likely both genetically multifactorial and heterogeneous. Because of these characteristics traditional methods for genetic analysis fail when applied to such diseases. To address the problem we propose a novel probabilistic framework that combines the standard genetic linkage formalism with whole-genome molecular-interaction data to predict pathways or networks of interacting genes that contribute to common heritable disorders. We apply the model to three large genotype-phenotype data sets, identify a small number of significant candidate genes for autism (24), bipolar disorder (21), and schizophrenia (25), and predict a number of gene targets likely to be shared among the disorders.

  15. Early Adverse Environments and Genetic Influences on Age at First Sex: Evidence for Gene × Environment Interaction

    ERIC Educational Resources Information Center

    Carlson, Marie D.; Mendle, Jane; Harden, K. Paige

    2014-01-01

    Youth who experience adverse environments in early life initiate sexual activity at a younger age, on average, than those from more advantaged circumstances. Evolutionary theorists have posited that ecological stress precipitates earlier reproductive and sexual onset, but it is unclear how stressful environments interact with genetic influences on…

  16. Interactions between genetic variants of folate metabolism genes and lifestyle affect plasma homocysteine concentrations in the Boston Puerto Rican Population

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Results of studies investigating relationships between lifestyle factors and elevated plasma homocysteine (Hcy), an independent risk factor for cardiovascular disease, are conflicting. The objective of this study was to investigate genetic and lifestyle factors and their interactions on plasma Hcy c...

  17. Glucokinase regulatory proten genetic variant interacts with omega-3 PUFA to influence insulin resistance and inflammation in metabolic syndrome

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Glucokinase Regulatory Protein (GCKR) plays a central role regulating both hepatic triglyceride and glucose metabolism. Fatty acids are key metabolic regulators, which interact with genetic factors and influence glucose metabolism and other metabolic traits. Omega-3 polyunsaturated fatty acids (n-3...

  18. Does Prenatal Valproate Interact with a Genetic Reduction in the Serotonin Transporter? A Rat Study on Anxiety and Cognition

    PubMed Central

    Ellenbroek, Bart A.; August, Caren; Youn, Jiun

    2016-01-01

    There is ample evidence that prenatal exposure to valproate (or valproic acid, VPA) enhances the risk of developing Autism Spectrum Disorders (ASD). In line with this, a single injection of VPA induces a multitude of ASD-like symptoms in animals, such as rats and mice. However, there is equally strong evidence that genetic factors contribute significantly to the risk of ASD and indeed, like most other psychiatric disorders, ASD is now generally thought to results from an interaction between genetic and environmental factors. Given that VPA significantly impacts on the serotonergic system, and serotonin has strong biochemical and genetic links to ASD, we aimed to investigate the interaction between genetic reduction in the serotonin transporter and prenatal valproate administration. More specifically, we exposed both wildtype (SERT+/+) rats and rats heterozygous for the serotonin transporter deletion (SERT+/−) to a single injection of 400 mg/kg VPA at gestational day (GD) 12. The offspring, in adulthood, was assessed in four different tests: Elevated Plus Maze and Novelty Suppressed Feeding as measures for anxiety and prepulse inhibition (PPI) and latent inhibition as measures for cognition and information processing. The results show that prenatal VPA significantly increased anxiety in both paradigm, reduced PPI and reduced conditioning in the latent inhibition paradigm. However, we failed to find a significant gene–environment interaction. We propose that this may be related to the timing of the VPA injection and suggest that whereas GD12 might be optimal for affecting normal rat, rats with a genetically compromised serotonergic system may be more sensitive to VPA at earlier time points during gestation. Overall our data are the first to investigate gene * environmental interactions in a genetic rat model for ASD and suggest that timing may be of crucial importance to the long-term outcome. PMID:27708559

  19. Genetic interactions in yeast between Ypt GTPases and Arf guanine nucleotide exchangers.

    PubMed Central

    Jones, S; Jedd, G; Kahn, R A; Franzusoff, A; Bartolini, F; Segev, N

    1999-01-01

    Two families of GTPases, Arfs and Ypt/rabs, are key regulators of vesicular transport. While Arf proteins are implicated in vesicle budding from the donor compartment, Ypt/rab proteins are involved in the targeting of vesicles to the acceptor compartment. Recently, we have shown a role for Ypt31/32p in exit from the yeast trans-Golgi, suggesting a possible function for Ypt/rab proteins in vesicle budding as well. Here we report the identification of a new member of the Sec7-domain family, SYT1, as a high-copy suppressor of a ypt31/32 mutation. Several proteins that belong to the Sec7-domain family, including the yeast Gea1p, have recently been shown to stimulate nucleotide exchange by Arf GTPases. Nucleotide exchange by Arf GTPases, the switch from the GDP- to the GTP-bound form, is thought to be crucial for their function. Sec7p itself has an important role in the yeast secretory pathway. However, its mechanism of action is not yet understood. We show that all members of the Sec7-domain family exhibit distinct genetic interactions with the YPT genes. Biochemical assays demonstrate that, although the homology between the members of the Sec7-domain family is relatively low (20-35%) and limited to a small domain, they all can act as guanine nucleotide exchange factors (GEFs) for Arf proteins, but not for Ypt GTPases. The Sec7-domain of Sec7p is sufficient for this activity. Interestingly, the Sec7 domain activity is inhibited by brefeldin A (BFA), a fungal metabolite that inhibits some of the Arf-GEFs, indicating that this domain is a target for BFA. These results demonstrate that the ability to act as Arf-GEFs is a general property of all Sec7-domain proteins in yeast. The genetic interactions observed between Arf GEFs and Ypt GTPases suggest the existence of a Ypt-Arf GTPase cascade in the secretory pathway. PMID:10430582

  20. Genetic variation of apolipoproteins, diet and other environmental interactions; an updated review.

    PubMed

    Sotos-Prieto, Mercedes; Peñalvo, José Luis

    2013-01-01

    This paper summarizes the recent findings from studies investigating the potential environmental modulation of the genetic variation of apolipoprotein genes on metabolic traits. We reviewed nutrigenetic studies evaluating variations on apolipoproteins-related genes and its associated response to nutrients (mostly dietary fatty acids) or any other dietary or environmental component. Most revised research studied single nucleotide polymorphism (SNP) and specific nutrients through small intervention studies, and only few interactions have been replicated in large and independent populations (as in the case of -265T > C SNP in APOA2 gene). Although current knowledge shows that variations on apolipoprotein genes may contribute to the different response on metabolic traits due to dietary interventions, evidence is still scarce and results are inconsistent. Success in this area will require going beyond the limitations of current experimental designs and explore the hypotheses within large populations. Some of these limitations are being covered by the rapidly advance in high-throughput technologies and large scale-genome wide association studies.

  1. Pesticide exposure and genetic variation in xenobiotic-metabolizing enzymes interact to induce biochemical liver damage.

    PubMed

    Hernández, Antonio F; Gil, Fernando; Lacasaña, Marina; Rodríguez-Barranco, Miguel; Tsatsakis, Aristidis M; Requena, Mar; Parrón, Tesifón; Alarcón, Raquel

    2013-11-01

    Metabolic activation of pesticides in the liver may result in highly reactive intermediates capable of impairing various cellular functions. Nevertheless, the knowledge about the effect of pesticide exposure on liver function is still limited. This study assessed whether exposure to pesticides elicits early biochemical changes in biomarkers of liver function and looked for potential gene-environmental interactions between pesticide exposure and polymorphisms of pesticide-metabolizing genes. A longitudinal study was conducted in farm-workers from Andalusia (South Spain), during two periods of the same crop season with different degree of pesticide exposure. Blood samples were taken for the measurement of serum and erythrocyte cholinesterase activities as well as for determining clinical chemistry parameters as biomarkers of liver function. Serum lipid levels were also measured as they may help to monitor the progress of toxic liver damage. A reduction in serum cholinesterase was associated with decreased levels of all clinical chemistry parameters studied except HDL-cholesterol. Conversely, a decreased erythrocyte cholinesterase (indicating long-term pesticide exposure) was associated with increased levels of aspartate aminotransferase and alkaline phosphatase and increased levels of triglycerides, total cholesterol and LDL-cholesterol, but reduced levels of HDL-cholesterol. Changes in liver biomarkers were particularly associated with the PON155M/192R haplotype. The obtained results therefore support the hypothesis that pesticide exposure results in subtle biochemical liver toxicity and highlight the role of genetic polymorphisms in pesticide-metabolizing enzymes as biomarkers of susceptibility for developing adverse health effects.

  2. Hybridization between genetically modified Atlantic salmon and wild brown trout reveals novel ecological interactions

    PubMed Central

    Oke, Krista B.; Westley, Peter A. H.; Moreau, Darek T. R.; Fleming, Ian A.

    2013-01-01

    Interspecific hybridization is a route for transgenes from genetically modified (GM) animals to invade wild populations, yet the ecological effects and potential risks that may emerge from such hybridization are unknown. Through experimental crosses, we demonstrate transmission of a growth hormone transgene via hybridization between a candidate for commercial aquaculture production, GM Atlantic salmon (Salmo salar) and closely related wild brown trout (Salmo trutta). Transgenic hybrids were viable and grew more rapidly than transgenic salmon and other non-transgenic crosses in hatchery-like conditions. In stream mesocosms designed to more closely emulate natural conditions, transgenic hybrids appeared to express competitive dominance and suppressed the growth of transgenic and non-transgenic (wild-type) salmon by 82 and 54 per cent, respectively. To the best of our knowledge, this is the first demonstration of environmental impacts of hybridization between a GM animal and a closely related species. These results provide empirical evidence of the first steps towards introgression of foreign transgenes into the genomes of new species and contribute to the growing evidence that transgenic animals have complex and context-specific interactions with wild populations. We suggest that interspecific hybridization be explicitly considered when assessing the environmental consequences should transgenic animals escape to nature. PMID:23720549

  3. Analysis of genetic interaction networks shows that alternatively spliced genes are highly versatile.

    PubMed

    Talavera, David; Sheoran, Ritika; Lovell, Simon C

    2013-01-01

    Alternative splicing has the potential to increase the diversity of the transcriptome and proteome. Where more than one transcript arises from a gene they are often so different that they are quite unlikely to have the same function. However, it remains unclear if alternative splicing generally leads to a gene being involved in multiple biological processes or whether it alters the function within a single process. Knowing that genetic interactions occur between functionally related genes, we have used them as a proxy for functional versatility, and have analysed the sets of genes of two well-characterised model organisms: Caenorhabditis elegans and Drosophila melanogaster. Using network analyses we find that few genes are functionally homogenous (only involved in a few functionally-related biological processes). Moreover, there are differences between alternatively spliced genes and genes with a single transcript; specifically, genes with alternatively splicing are, on average, involved in more biological processes. Finally, we suggest that factors other than specific functional classes determine whether a gene is alternatively spliced.

  4. A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning.

    PubMed

    Sun, Xiaoyan; Gong, Dunwei; Jin, Yaochu; Chen, Shanshan

    2013-04-01

    Surrogate-assisted interactive genetic algorithms (IGAs) are found to be very effective in reducing human fatigue. Different from models used in most surrogate-assisted evolutionary algorithms, surrogates in IGA must be able to handle the inherent uncertainties in fitness assignment by human users, where, e.g., interval-based fitness values are assigned to individuals. This poses another challenge to using surrogates for fitness approximation in evolutionary optimization, in addition to the lack of training data. In this paper, a new surrogate-assisted IGA has been proposed, where the uncertainty in subjective fitness evaluations is exploited both in training the surrogates and in managing surrogates. To enhance the approximation accuracy of the surrogates, an improved cotraining algorithm for semisupervised learning has been suggested, where the uncertainty in interval-based fitness values is taken into account in training and weighting the two cotrained models. Moreover, uncertainty in the interval-based fitness values is also considered in model management so that not only the best individuals but also the most uncertain individuals will be chosen to be re-evaluated by the human user. The effectiveness of the proposed algorithm is verified on two test problems as well as in fashion design, a typical application of IGA. Our results indicate that the new surrogate-assisted IGA can effectively alleviate user fatigue and is more likely to find acceptable solutions in solving complex design problems.

  5. BBS proteins interact genetically with the IFT pathway to influence SHH-related phenotypes.

    PubMed

    Zhang, Qihong; Seo, Seongjin; Bugge, Kevin; Stone, Edwin M; Sheffield, Val C

    2012-05-01

    There are numerous genes for which loss-of-function mutations do not produce apparent phenotypes even though statistically significant quantitative changes to biological pathways are observed. To evaluate the biological meaning of small effects is challenging. Bardet-Biedl syndrome (BBS) is a heterogeneous autosomal recessive disorder characterized by obesity, retinopathy, polydactyly, renal malformations, learning disabilities and hypogenitalism, as well as secondary phenotypes including diabetes and hypertension. BBS knockout mice recapitulate most human phenotypes including obesity, retinal degeneration and male infertility. However, BBS knockout mice do not develop polydacyly. Here we showed that the loss of BBS genes in mice result in accumulation of Smoothened and Patched 1 in cilia and have a decreased Shh response. Knockout of Bbs7 combined with a hypomorphic Ift88 allele (orpk as a model for Shh dysfuction) results in embryonic lethality with e12.5 embryos having exencephaly, pericardial edema, cleft palate and abnormal limb development, phenotypes not observed in Bbs7(-/-) mice. Our results indicate that BBS genes modulate Shh pathway activity and interact genetically with the intraflagellar transport (IFT) pathway to play a role in mammalian development. This study illustrates an effective approach to appreciate the biological significance of a small effect.

  6. Fitness effects and genetic architecture of plant-herbivore interactions in sunflower crop-wild hybrids.

    PubMed

    Dechaine, Jennifer M; Burger, Jutta C; Chapman, Mark A; Seiler, Gerald J; Brunick, Robert; Knapp, Steve J; Burke, John M

    2009-12-01

    *Introgression of cultivar alleles into wild plant populations via crop-wild hybridization is primarily governed by their fitness effects as well as those of linked loci. The fitness of crop-wild hybrids is often dependent on environmental factors, but less is understood about how aspects of the environment affect individual cultivar alleles. *This study investigated the effects of naturally occurring herbivory on patterns of phenotypic selection and the genetic architecture of plant-herbivore interactions in an experimental sunflower crop-wild hybrid population in two locales. *Phenotypic selection analyses suggested that cultivar alleles conferring increased size were generally favored, but at one site cultivar-like flowering time was favored only if three types of herbivory were included in the selection model. Quantitative trait locus (QTL) mapping identified three regions in which the cultivar allele conferred a selective advantage for a number of co-localized traits. Quantitative trait loci for several measures of insect herbivory were detected and, although the cultivar allele increased herbivory damage at the majority of these QTLs, they rarely colocalized with advantageous cultivar alleles for morphological traits. *These results suggest that a subset of cultivar traits/alleles are advantageous in natural environments but that herbivory may mitigate the selective advantage of some cultivar alleles.

  7. Mucosal Interactions between Genetics, Diet, and Microbiome in Inflammatory Bowel Disease

    PubMed Central

    Basson, Abigail; Trotter, Ashley; Rodriguez-Palacios, Alex; Cominelli, Fabio

    2016-01-01

    Numerous reviews have discussed gut microbiota composition changes during inflammatory bowel diseases (IBD), particularly Crohn’s disease (CD). However, most studies address the observed effects by focusing on studying the univariate connection between disease and dietary-induced alterations to gut microbiota composition. The possibility that these effects may reflect a number of other interconnected (i.e., pantropic) mechanisms, activated in parallel, particularly concerning various bacterial metabolites, is in the process of being elucidated. Progress seems, however, hampered by various difficult-to-study factors interacting at the mucosal level. Here, we highlight some of such factors that merit consideration, namely: (1) the contribution of host genetics and diet in altering gut microbiome, and in turn, the crosstalk among secondary metabolic pathways; (2) the interdependence between the amount of dietary fat, the fatty acid composition, the effects of timing and route of administration on gut microbiota community, and the impact of microbiota-derived fatty acids; (3) the effect of diet on bile acid composition, and the modulator role of bile acids on the gut microbiota; (4) the impact of endogenous and exogenous intestinal micronutrients and metabolites; and (5) the need to consider food associated toxins and chemicals, which can introduce confounding immune modulating elements (e.g., antioxidant and phytochemicals in oils and proteins). These concepts, which are not mutually exclusive, are herein illustrated paying special emphasis on physiologically inter-related processes. PMID:27531998

  8. Host-parasite genetic interactions and virulence-transmission relationships in natural populations of monarch butterflies.

    PubMed

    de Roode, Jacobus C; Altizer, Sonia

    2010-02-01

    Evolutionary models predict that parasite virulence (parasite-induced host mortality) can evolve as a consequence of natural selection operating on between-host parasite transmission. Two major assumptions are that virulence and transmission are genetically related and that the relative virulence and transmission of parasite genotypes remain similar across host genotypes. We conducted a cross-infection experiment using monarch butterflies and their protozoan parasites from two populations in eastern and western North America. We tested each of 10 host family lines against each of 18 parasite genotypes and measured virulence (host life span) and parasite transmission potential (spore load). Consistent with virulence evolution theory, we found a positive relationship between virulence and transmission across parasite genotypes. However, the absolute values of virulence and transmission differed among host family lines, as did the rank order of parasite clones along the virulence-transmission relationship. Population-level analyses showed that parasites from western North America caused higher infection levels and virulence, but there was no evidence of local adaptation of parasites on sympatric hosts. Collectively, our results suggest that host genotypes can affect the strength and direction of selection on virulence in natural populations, and that predicting virulence evolution may require building genotype-specific interactions into simpler trade-off models.

  9. A genetic analysis of the Drosophila closely linked interacting genes bulge, argos and soba.

    PubMed

    Wemmer, T; Klämbt, C

    1995-06-01

    The Drosophila gene argos encodes a diffusible protein that acts as a negative regulator of cell fate decisions. To define interacting gene products, we performed a genetic analysis of argos, which suggests the presence of several partially redundant gene functions in its immediate vicinity at the chromosomal position 73A. Dose titration experiments have identified two of these loci. One of them corresponds to the gene bulge. Loss of function bulge alleles suppress the rough eye phenotype associated with overexpression of argos; conversely, amorphic argos mutations suppress the eye phenotype seen in flies bearing a single dominant bulge allele. Recombination mapping localized bulge 0.15 cM distal to argos. A second gene, suppressor of bulge and argos (soba), corresponds to the recently described lethal complementation group 73Aj. soba alleles suppress the eye phenotypes seen in flies expressing either the dominant bulge allele or the hs-argos construct. soba resides 120 kb proximal to argos. In addition, we have identified one allele of a new gene, clown, which like soba suppresses the eye phenotypes associated with hs-argos and bulgeDominant. clown maps on chromosome 3 at the cytological position 68CD.

  10. A Genetic Analysis of the Drosophila Closely Linked Interacting Genes Bulge, Argos and Soba

    PubMed Central

    Wemmer, T.; Klambt, C.

    1995-01-01

    The Drosophila gene argos encodes a diffusible protein that acts as a negative regulator of cell fate decisions. To define interacting gene products, we performed a genetic analysis of argos, which suggests the presence of several partially redundant gene functions in its immediate vicinity at the chromosomal position 73A. Dose titration experiments have identified two of these loci. One of them corresponds to the gene bulge. Loss of function bulge alleles suppress the rough eye phenotype associated with overexpression of argos; conversely, amorphic argos mutations suppress the eye phenotype seen in flies bearing a single dominant bulge allele. Recombination mapping localized bulge 0.15 cM distal to argos. A second gene, suppressor of bulge and argos (soba), corresponds to the recently described lethal complementation group 73Aj. soba alleles suppress the eye phenotypes seen in flies expressing either the dominant bulge allele or the hs-argos construct. soba resides 120 kb proximal to argos. In addition, we have identified one allele of a new gene, clown, which like soba suppresses the eye phenotypes associated with hs-argos and bulge(Dominant). clown maps on chromosome 3 at the cytological position 68CD. PMID:7498742

  11. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer

    PubMed Central

    Newcomb, Polly A.; Campbell, Peter T.; Baron, John A.; Berndt, Sonja I.; Bezieau, Stephane; Brenner, Hermann; Casey, Graham; Chan, Andrew T.; Chang-Claude, Jenny; Du, Mengmeng; Figueiredo, Jane C.; Gallinger, Steven; Giovannucci, Edward L.; Haile, Robert W.; Harrison, Tabitha A.; Hayes, Richard B.; Hoffmeister, Michael; Hopper, John L.; Hudson, Thomas J.; Jeon, Jihyoun; Jenkins, Mark A.; Küry, Sébastien; Le Marchand, Loic; Lin, Yi; Lindor, Noralane M.; Nishihara, Reiko; Ogino, Shuji; Potter, John D.; Rudolph, Anja; Schoen, Robert E.; Seminara, Daniela; Slattery, Martha L.; Thibodeau, Stephen N.; Thornquist, Mark; Toth, Reka; Wallace, Robert; White, Emily; Jiao, Shuo; Lemire, Mathieu; Hsu, Li; Peters, Ulrike

    2016-01-01

    Genome-wide association studies (GWAS) have identified many genetic susceptibility loci for colorectal cancer (CRC). However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10−8; permuted p-value 3.51x10-8) region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74–0.91]; P = 2.1×10−4) and TT genotypes (OR,0.62 [95% CI, 0.51–0.75]; P = 1.3×10−6) but not associated among those with the CC genotype (p = 0.059). No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk. PMID:27723779

  12. Incorporating age at onset of smoking into genetic models for nicotine dependence: Evidence for interaction with multiple genes

    PubMed Central

    Grucza, Richard A.; Johnson, Eric O.; Krueger, Robert F.; Breslau, Naomi; Saccone, Nancy L.; Chen, Li-Shiun; Derringer, Jaime; Agrawal, Arpana; Lynskey, Micheal; Bierut, Laura J.

    2011-01-01

    Nicotine dependence is moderately heritable, but identified genetic associations explain only modest portions of this heritability. We analyzed 3,369 SNPs from 349 candidate genes, and investigated whether incorporation of SNP-by-environment interaction into association analyses might bolster gene discovery efforts and prediction of nicotine dependence. Specifically, we incorporated the interaction between allele count and age-at-onset of regular smoking (AOS) into association analyses of nicotine dependence. Subjects were from the Collaborative Genetic Study of Nicotine Dependence, and included 797 cases ascertained for Fagerström nicotine dependence, and 811 non-nicotine dependent smokers as controls, all of European descent. Compared with main-effect models, SNP x AOS interaction models resulted in higher numbers of nominally significant tests, increased predictive utility at individual SNPs, and higher predictive utility in a multi-locus model. Some SNPs previously documented in main-effect analyses exhibited improved fits in the joint-analysis, including rs16969968 from CHRNA5 and rs2314379 from MAP3K4. CHRNA5 exhibited larger effects in later-onset smokers, in contrast with a previous report that suggested the opposite interaction (Weiss et al, PLOS Genetics, 4: e1000125, 2008). However, a number of SNPs that did not emerge in main-effect analyses were among the strongest findings in the interaction analyses. These include SNPs located in GRIN2B (p=1.5 × 10−5), which encodes a subunit of the NMDA receptor channel, a key molecule in mediating age-dependent synaptic plasticity. Incorporation of logically chosen interaction parameters, such as AOS, into genetic models of substance-use disorders may increase the degree of explained phenotypic variation, and constitutes a promising avenue for gene-discovery. PMID:20624154

  13. Sensation seeking, peer deviance, and genetic influences on adolescent delinquency: Evidence for person-environment correlation and interaction.

    PubMed

    Mann, Frank D; Patterson, Megan W; Grotzinger, Andrew D; Kretsch, Natalie; Tackett, Jennifer L; Tucker-Drob, Elliot M; Harden, K Paige

    2016-07-01

    Both sensation seeking and affiliation with deviant peer groups are risk factors for delinquency in adolescence. In this study, we use a sample of adolescent twins (n = 549), 13 to 20 years old (M age = 15.8 years), in order to test the interactive effects of peer deviance and sensation seeking on delinquency in a genetically informative design. Consistent with a socialization effect, affiliation with deviant peers was associated with higher delinquency even after controlling for selection effects using a co-twin-control comparison. At the same time, there was evidence for person-environment correlation; adolescents with genetic dispositions toward higher sensation seeking were more likely to report having deviant peer groups. Genetic influences on sensation seeking substantially overlapped with genetic influences on adolescent delinquency. Finally, the environmentally mediated effect of peer deviance on adolescent delinquency was moderated by individual differences in sensation seeking. Adolescents reporting high levels of sensation seeking were more susceptible to deviant peers, a Person × Environment interaction. These results are consistent with both selection and socialization processes in adolescent peer relationships, and they highlight the role of sensation seeking as an intermediary phenotype for genetic risk for delinquency. (PsycINFO Database Record

  14. Cancer type-dependent genetic interactions between cancer driver alterations indicate plasticity of epistasis across cell types

    PubMed Central

    Park, Solip; Lehner, Ben

    2015-01-01

    Cancers, like many diseases, are normally caused by combinations of genetic alterations rather than by changes affecting single genes. It is well established that the genetic alterations that drive cancer often interact epistatically, having greater or weaker consequences in combination than expected from their individual effects. In a stringent statistical analysis of data from > 3,000 tumors, we find that the co-occurrence and mutual exclusivity relationships between cancer driver alterations change quite extensively in different types of cancer. This cannot be accounted for by variation in tumor heterogeneity or unrecognized cancer subtypes. Rather, it suggests that how genomic alterations interact cooperatively or partially redundantly to driver cancer changes in different types of cancers. This re-wiring of epistasis across cell types is likely to be a basic feature of genetic architecture, with important implications for understanding the evolution of multicellularity and human genetic diseases. In addition, if this plasticity of epistasis across cell types is also true for synthetic lethal interactions, a synthetic lethal strategy to kill cancer cells may frequently work in one type of cancer but prove ineffective in another. PMID:26227665

  15. Beyond thriftiness: Independent and interactive effects of genetic and dietary factors on variations in fat deposition and distribution across populations

    PubMed Central

    Casazza, Krista; Beasley, T. Mark; Fernandez, Jose R.

    2011-01-01

    The thrifty genotype hypothesis initiated speculation that feast and famine cycling throughout history may have led to group-specific alterations of the human genome, thereby augmenting the capacity for excessive fat mass accrual when immersed in the modern-day obesogenic environment. Contemporary work, however, suggests alternative mechanisms influencing fuel utilization and subsequent tissue partitioning to be more relevant in the etiology of population-based variation in adipose storage. The objective of this study was to evaluate the independent and interactive contribution of ancestral admixture as a proxy for population-based genetic variation and diet on adipose tissue deposition and distribution in peripubertal children and to identify differences in racial/ethnic and sex groups. Two-hundred seventy-eight children (53% male) aged 7–12y, categorized by parental self-report as African- (n=91), European- (n=110), or Hispanic American (n=77), participated. Ancestral genetic admixture was estimated using 140 ancestry informative markers. Body composition was evaluated by dual-energy x-ray absorptiometry; energy expenditure by indirect calorimetry and accelerometry; and diet by 24h–recall. Admixture independently contributed to all adiposity parameters; i.e., estimates of European and Amerindian ancestries were positively associated with all adiposity parameters, whereas African genetic admixture was inversely associated with adiposity. In boys, energy intake was associated with adiposity, irrespective of macronutrient profile, whereas in girls, the relationship was mediated by carbohydrate. We also observed moderating effects of energy balance/fuel utilization of the interaction between ancestral genetic admixture and diet. Interactive effects of genetic and non-genetic factors alter metabolic pathways and underlie some of the present population-based differences in fat storage. PMID:21365611

  16. Common Functional Genetic Variants in Catecholamine Storage Vesicle Protein Promoter Motifs Interact to Trigger Systemic Hypertension

    PubMed Central

    Zhang, Kuixing; Rao, Fangwen; Wang, Lei; Rana, Brinda K.; Ghosh, Sajalendu; Mahata, Manjula; Salem, Rany M.; Rodriguez-Flores, Juan L.; Fung, Maple M.; Waalen, Jill; Tayo, Bamidele; Taupenot, Laurent; Mahata, Sushil K.; O'Connor, Daniel T.

    2010-01-01

    Objectives The purpose of this study was to explore transcriptional mechanisms whereby genetic variation in the CHGB promoter influence BP and hypertension. Background Hypertension is a complex trait in which deranged autonomic control of the circulation may be an etiological culprit. Chromogranin B (CHGB) is a major soluble protein in the core of catecholamine storage vesicles, playing a necessary (catalytic) role in the biogenesis of secretory vesicles. Previously we found that genetic variation at CHGB influenced plasma CHGB expression as well as autonomic function, and that BP association was maximal towards the 5′ end of the gene. Methods After polymorphism discovery, we functionally characterized the 2 common variants in the proximal CHGB promoter, A-296C and A-261T, which lay within the same haplotype block in black and white populations. CHGB promoter activity was studied by haplotype/luciferase reporter transfection. Transcriptional mechanisms were probed by EMSA and ChIP. Results The A-296C variant disrupted a c-FOS motif, and exhibited differential mobility shifting to chromaffin cell nuclear proteins during EMSA, differential binding of endogenous c-FOS on ChIP, and differential transcriptional response to exogenous c-FOS. A-261T disrupted motifs for SRY and YY1, with similar consequences for gel mobility during EMSA, endogenous factor binding during ChIP, and transcriptional responses to the exogenous factors. 2-SNP haplotype analyses demonstrated a profound (p∼3×10-20) effect of CHGB promoter variation on BP in the European ancestry population, with a rank order of CTinteractions at A-296C and A-261T yielded highly non-additive effects on SBP and DBP. CHGB haplotype effects on BP were also noted in an independent (African ancestry) sample. In a

  17. Interaction Between Functional Genetic Variation of DRD2 and Cannabis Use on Risk of Psychosis.

    PubMed

    Colizzi, Marco; Iyegbe, Conrad; Powell, John; Ursini, Gianluca; Porcelli, Annamaria; Bonvino, Aurora; Taurisano, Paolo; Romano, Raffaella; Masellis, Rita; Blasi, Giuseppe; Morgan, Craig; Aitchison, Katherine; Mondelli, Valeria; Luzi, Sonija; Kolliakou, Anna; David, Anthony; Murray, Robin M; Bertolino, Alessandro; Di Forti, Marta

    2015-09-01

    Both cannabis use and the dopamine receptor (DRD2) gene have been associated with schizophrenia, psychosis-like experiences, and cognition. However, there are no published data investigating whether genetically determined variation in DRD2 dopaminergic signaling might play a role in individual susceptibility to cannabis-associated psychosis. We genotyped (1) a case-control study of 272 patients with their first episode of psychosis and 234 controls, and also from (2) a sample of 252 healthy subjects, for functional variation in DRD2, rs1076560. Data on history of cannabis use were collected on all the studied subjects by administering the Cannabis Experience Questionnaire. In the healthy subjects' sample, we also collected data on schizotypy and cognitive performance using the Schizotypal Personality Questionnaire and the N-back working memory task. In the case-control study, we found a significant interaction between the rs1076560 DRD2 genotype and cannabis use in influencing the likelihood of a psychotic disorder. Among cannabis users, carriers of the DRD2, rs1076560, T allele showed a 3-fold increased probability to suffer a psychotic disorder compared with GG carriers (OR = 3.07; 95% confidence interval [CI]: 1.22-7.63). Among daily users, T carrying subjects showed a 5-fold increase in the odds of psychosis compared to GG carriers (OR = 4.82; 95% CI: 1.39-16.71). Among the healthy subjects, T carrying cannabis users had increased schizotypy compared with T carrying cannabis-naïve subjects, GG cannabis users, and GG cannabis-naïve subjects (all P ≤ .025). T carrying cannabis users had reduced working memory accuracy compared with the other groups (all P ≤ .008). Thus, variation of the DRD2, rs1076560, genotype may modulate the psychosis-inducing effect of cannabis use.

  18. [Morphogenesis and differentiation of the female genital tract. Genetic determinism and epithelium-stromal interactions].

    PubMed

    Amălinei, Cornelia

    2007-01-01

    The epithelium-stromal interaction is important in the process of morphogenesis, differentiation, and hormone response, in female genital tract. This review is organized in four sections: i) female genital tract morphogenesis, based on genetic determinism; ii) hormonal control of endometrial proliferation; iii) TGF-beta key-role in epithelium-stromal communication; iv) endometrial apoptosis. Female genital tract derives from the Müllerian ducts, a number of genes being involved in its regulation, like Lim1, Lhx9, Emx, Pax-2, Hox-A9, Hox-A10, Hox-A11, Hox-A13, Wnt-4, Wnt-7, WT1, SF-1, and GATA-4. TGF-beta, whose expression is modulated by ovarian steroids, regulates cell growth, differentiation, apoptosis, inflammatory and immune responses, extracellular matrix deposition, adhesion molecules, proteases, and protease inhibitor expression. In the endometrium, TGF-beta regulates its own expression, and that of extracellular matrix, adhesion molecules and proteases implicated in trophoblast invasion, angiogenesis, and tumor metastasis during embryo implantation, endometriosis, irregular bleeding, and endometrial cancer. Cellular response elicited by TGF-beta, mediated through a serine/threonine kinase receptor, induces the recruitment of multiple intracellular signals, specifically Smads, whose activation and subsequent translocation into the nucleus results in gene expression. Ubiquitin is involved in the degradation of short lived, regulatory or misfolded proteins, by tagging them to be taken to the proteasome. In the endometrium, ubiquitin may allow cells of stromal origin to grow, survive and evade T-cell mediated disposal, showing a functional duality. A complete understanding of the complex regulatory endometrial epithelium-stromal mechanism, concertating genes, hormones, and cytokines, may provide new therapeutic targets in female reproductive tract pathology.

  19. Differential phenotypic and genetic expression of defence compounds in a plant-herbivore interaction along elevation.

    PubMed

    Salgado, Ana L; Suchan, Tomasz; Pellissier, Loïc; Rasmann, Sergio; Ducrest, Anne-Lyse; Alvarez, Nadir

    2016-09-01

    Elevation gradients impose large differences in abiotic and biotic conditions over short distances, in turn, likely driving differences in gene expression more than would genetic variation per se, as natural selection and drift are less likely to fix alleles at such a narrow spatial scale. As elevation increases, the pressure exerted on plants by herbivores and on arthropod herbivores by predators decreases, and organisms spanning the elevation gradient are thus expected to show lower levels of defence at high elevation. The alternative hypothesis, based on the optimal defence theory, is that defence allocation should be higher in low-resource habitats such as those at high elevation, due to higher costs associated with tissue replacement. In this study, we analyse variation with elevation in (i) defence compound content in the plant Lotus corniculatus and (ii) gene expression associated with defence against predators in the specific phytophagous moth, Zygaena filipendulae. Both species produce cyanogenic glycosides (CNglcs) such as lotaustralin and linamarin as defence mechanisms, with the moth, in addition, being able to sequester CNglcs from its host plant. Specifically, we tested the assumption that the defence-associated phenotype in plants and the gene expression in the insect herbivore should covary between low- and high-elevation environments. We found that L. corniculatus accumulated more CNglcs at high elevation, a result in agreement with the optimal defence theory. By contrast, we found that the levels of expression in the defence genes of Z. filipendulae larvae were not related to the CNglc content of their host plant. Overall, expression levels were not correlated with elevation either, with the exception of the UGT33A1 gene, which showed a marginally significant trend towards higher expression at high elevation when using a simple statistical framework. These results suggest that the defence phenotype of plants against herbivores, and subsequent

  20. Differential phenotypic and genetic expression of defence compounds in a plant–herbivore interaction along elevation

    PubMed Central

    Salgado, Ana L.; Suchan, Tomasz; Pellissier, Loïc; Rasmann, Sergio; Ducrest, Anne-Lyse

    2016-01-01

    Elevation gradients impose large differences in abiotic and biotic conditions over short distances, in turn, likely driving differences in gene expression more than would genetic variation per se, as natural selection and drift are less likely to fix alleles at such a narrow spatial scale. As elevation increases, the pressure exerted on plants by herbivores and on arthropod herbivores by predators decreases, and organisms spanning the elevation gradient are thus expected to show lower levels of defence at high elevation. The alternative hypothesis, based on the optimal defence theory, is that defence allocation should be higher in low-resource habitats such as those at high elevation, due to higher costs associated with tissue replacement. In this study, we analyse variation with elevation in (i) defence compound content in the plant Lotus corniculatus and (ii) gene expression associated with defence against predators in the specific phytophagous moth, Zygaena filipendulae. Both species produce cyanogenic glycosides (CNglcs) such as lotaustralin and linamarin as defence mechanisms, with the moth, in addition, being able to sequester CNglcs from its host plant. Specifically, we tested the assumption that the defence-associated phenotype in plants and the gene expression in the insect herbivore should covary between low- and high-elevation environments. We found that L. corniculatus accumulated more CNglcs at high elevation, a result in agreement with the optimal defence theory. By contrast, we found that the levels of expression in the defence genes of Z. filipendulae larvae were not related to the CNglc content of their host plant. Overall, expression levels were not correlated with elevation either, with the exception of the UGT33A1 gene, which showed a marginally significant trend towards higher expression at high elevation when using a simple statistical framework. These results suggest that the defence phenotype of plants against herbivores, and subsequent

  1. Control of Electrostatic Interactions Between F-Actin And Genetically Modified Lysozyme in Aqueous Media

    SciTech Connect

    Sanders, L.K.; Xian, W.; Guaqueta, C.; Strohman, M.; Vrasich, C.R.; Luijten, E.; Wong, G.C.L.

    2009-06-04

    The aim for deterministic control of the interactions between macroions in aqueous media has motivated widespread experimental and theoretical work. Although it has been well established that like-charged macromolecules can aggregate under the influence of oppositely charged condensing agents, the specific conditions for the stability of such aggregates can only be determined empirically. We examine these conditions, which involve an interplay of electrostatic and osmotic effects, by using a well defined model system composed of F-actin, an anionic rod-like polyelectrolyte, and lysozyme, a cationic globular protein with a charge that can be genetically modified. The structure and stability of actin-lysozyme complexes for different lysozyme charge mutants and salt concentrations are examined by using synchrotron x-ray scattering and molecular dynamics simulations. We provide evidence that supports a structural transition from columnar arrangements of F-actin held together by arrays of lysozyme at the threefold interstitial sites of the actin sublattice to marginally stable complexes in which lysozyme resides at twofold bridging sites between actin. The reduced stability arises from strongly reduced partitioning of salt between the complex and the surrounding solution. Changes in the stability of actin-lysozyme complexes are of biomedical interest because their formation has been reported to contribute to the persistence of airway infections in cystic fibrosis by sequestering antimicrobials such as lysozyme. We present x-ray microscopy results that argue for the existence of actin-lysozyme complexes in cystic fibrosis sputum and demonstrate that, for a wide range of salt conditions, charge-reduced lysozyme is not sequestered in ordered complexes while retaining its bacterial killing activity.

  2. Control of electrostatic interactions between F-actin and genetically modified lysozyme in aqueous media

    SciTech Connect

    Sanders, Lori K.; Xian, Wujing; Guaqueta, Camilo; Strohman, Michael J.; Vrasich, Chuck R.; Luijten, Erik; Wong, Gerard C.L.

    2008-07-11

    The aim for deterministic control of the interactions between macroions in aqueous media has motivated widespread experimental and theoretical work. Although it has been well established that like-charged macromolecules can aggregate under the influence of oppositely charged condensing agents, the specific conditions for the stability of such aggregates can only be determined empirically. We examine these conditions, which involve an interplay of electrostatic and osmotic effects, by using a well defined model system composed of F-actin, an anionic rod-like polyelectrolyte, and lysozyme, a cationic globular protein with a charge that can be genetically modified. The structure and stability of actin-lysozyme complexes for different lysozyme charge mutants and salt concentrations are examined by using synchrotron x-ray scattering and molecular dynamics simulations. We provide evidence that supports a structural transition from columnar arrangements of F-actin held together by arrays of lysozyme at the threefold interstitial sites of the actin sublattice to marginally stable complexes in which lysozyme resides at twofold bridging sites between actin. The reduced stability arises from strongly reduced partitioning of salt between the complex and the surrounding solution. Changes in the stability of actin-lysozyme complexes are of biomedical interest because their formation has been reported to contribute to the persistence of airway infections in cystic fibrosis by sequestering antimicrobials such as lysozyme. We present x-ray microscopy results that argue for the existence of actin-lysozyme complexes in cystic fibrosis sputum and demonstrate that, for a wide range of salt conditions, charge-reduced lysozyme is not sequestered in ordered complexes while retaining its bacterial killing activity.

  3. Estimation of indirect genetic effects in group-housed mink (Neovison vison) should account for systematic interactions either due to kin or sex.

    PubMed

    Alemu, S W; Berg, P; Janss, L; Bijma, P

    2016-02-01

    Social interactions among individuals are abundant, both in wild and in domestic populations. With social interactions, the genes of an individual may affect the trait values of other individuals, a phenomenon known as indirect genetic effects (IGEs). IGEs can be estimated using linear mixed models. Most IGE models assume that individuals interact equally to all group mates irrespective of relatedness. Kin selection theory, however, predicts that an individual will interact differently with family members versus non-family members. Here, we investigate kin- and sex-specific non-genetic social interactions in group-housed mink. Furthermore, we investigated whether systematic non-genetic interactions between kin or individuals of the same sex influence the estimates of genetic parameters. As a second objective, we clarify the relationship between estimates of the traditional IGE model and a family-based IGE model proposed in a previous study. Our results indicate that male siblings in mink show different non-genetic interactions than female siblings in mink and that this may impact the estimation of genetic parameters. Moreover, we have shown how estimates from a family-based IGE model can be translated to the ordinary direct-indirect model and vice versa. We find no evidence for genetic differences in interactions among related versus unrelated mink.

  4. The identification of Pcl1-interacting proteins that genetically interact with Cla4 may indicate a link between G1 progression and mitotic exit.

    PubMed Central

    Keniry, Megan E; Kemp, Hilary A; Rivers, David M; Sprague, George F

    2004-01-01

    In budding yeast, Cla4 and Ste20, two p21-activated kinases, contribute to numerous morphogenetic processes. Loss of Ste20 or Cla4 individually confers distinct phenotypes, implying that they regulate different processes. However, loss of both proteins is lethal, suggesting some functional overlap. To explore the role(s) of Cla4, we and others have sought mutations that are lethal in a cla4 Delta strain. These mutations define >60 genes. Recently, both Ste20 and Cla4 have been implicated in mitotic exit. Here, we identify a genetic interaction between PHO85, which encodes a cyclin-dependent kinase, and CLA4. We further show that the Pho85-coupled G(1) cyclins Pcl1 and Pcl2 contribute to this Pho85 role. We performed a two-hybrid screen with Pcl1. Three Pcl1-interacting proteins were identified: Ncp1, Hms1, and a novel ATPase dubbed Epa1. Each of these proteins interacts with Pcl1 in GST pull-down experiments and is specifically phosphorylated by Pcl1.Pho85 complexes. NCP1, HMS1, and EPA1 also genetically interact with CLA4. Like Cla4, the proteins Hms1, Ncp1, and Pho85 appear to affect mitotic exit, a conclusion that follows from the mislocalization of Cdc14, a key mitotic regulator, in strains lacking these proteins. We propose a model in which the G(1) Pcl1.Pho85 complex regulates mitotic exit machinery. PMID:15082539

  5. A novel genetic score approach using instruments to investigate interactions between pathways and environment: application to air pollution.

    PubMed

    Bind, Marie-Abele; Coull, Brent; Suh, Helen; Wright, Robert; Baccarelli, Andrea; Vokonas, Pantel; Schwartz, Joel

    2014-01-01

    Air pollution has been associated with increased systemic inflammation markers. We developed a new pathway analysis approach to investigate whether gene variants within relevant pathways (oxidative stress, endothelial function, and metal processing) modified the association between particulate air pollution and fibrinogen, C-reactive protein (CRP), intercellular adhesion molecule-1 (ICAM-1), and vascular cell adhesion molecule-1 (VCAM-1). Our study population consisted of 822 elderly participants of the Normative Aging Study (1999-2011). To investigate the role of biological mechanisms and to reduce the number of comparisons in the analysis, we created pathway-specific scores using gene variants related to each pathway. To select the most appropriate gene variants, we used the least absolute shrinkage and selection operator (Lasso) to relate independent outcomes representative of each pathway (8-hydroxydeoxyguanosine for oxidative stress, augmentation index for endothelial function, and patella lead for metal processing) to gene variants. A high genetic score corresponds to a higher allelic risk profile. We fit mixed-effects models to examine modification by the genetic score of the weekly air pollution association with the outcome. Among participants with higher genetic scores within the oxidative stress pathway, we observed significant associations between particle number and fibrinogen, while we did not find any association among participants with lower scores (p(interaction) = 0.04). Compared to individuals with low genetic scores of metal processing gene variants, participants with higher scores had greater effects of particle number on fibrinogen (p(interaction) = 0.12), CRP (p(interaction) = 0.02), and ICAM-1 (pinteraction = 0.08). This two-stage penalization method is easy to implement and can be used for large-scale genetic applications.

  6. Phenotype-Environment Interactions in Genetic Syndromes Associated with Severe or Profound Intellectual Disability

    ERIC Educational Resources Information Center

    Tunnicliffe, Penny; Oliver, Chris

    2011-01-01

    The research literature notes both biological and operant theories of behavior disorder in individuals with intellectual disabilities. These two theories of genetic predisposition and operant reinforcement remain quite distinct; neither theory on its own is sufficient to explain challenging behavior in genetic syndromes and an integrated approach…

  7. Studying Interactions, Reactions, and Perceptions: Can Genetic Disorders Serve as Behavioral Proxies?

    ERIC Educational Resources Information Center

    Hodapp, Robert M.

    2004-01-01

    Different genetic disorders predispose individuals to display specific, etiology-related profiles, personalities, and maladaptive behaviors. Using groups with genetic etiologies as stand-ins or proxies for a specific behavior or set of behaviors, one can then examine how others in the child's environment react and whether such reactions are…

  8. Genetic risk for violent behavior and environmental exposure to disadvantage and violent crime: the case for gene-environment interaction.

    PubMed

    Barnes, J C; Jacobs, Bruce A

    2013-01-01

    Despite mounds of evidence to suggest that neighborhood structural factors predict violent behavior, almost no attention has been given to how these influences work synergistically (i.e., interact) with an individual's genetic propensity toward violent behavior. Indeed, two streams of research have, heretofore, flowed independently of one another. On one hand, criminologists have underscored the importance of neighborhood context in the etiology of violence. On the other hand, behavioral geneticists have argued that individual-level genetic propensities are important for understanding violence. The current study seeks to integrate these two compatible frameworks by exploring gene-environment interactions (GxE). Two GxEs were examined and supported by the data (i.e., the National Longitudinal Study of Adolescent Health). Using a scale of genetic risk based on three dopamine genes, the analysis revealed that genetic risk had a greater influence on violent behavior when the individual was also exposed to neighborhood disadvantage or when the individual was exposed to higher violent crime rates. The relevance of these findings for criminological theorizing was considered.

  9. LRRK2 kinase activity mediates toxic interactions between genetic mutation and oxidative stress in a Drosophila model: suppression by curcumin.

    PubMed

    Yang, Dejun; Li, Tianxia; Liu, Zhaohui; Arbez, Nicolas; Yan, Jianqun; Moran, Timothy H; Ross, Christopher A; Smith, Wanli W

    2012-09-01

    Parkinson's disease (PD) is a neurodegenerative disorder characterized by selective loss of dopaminergic neurons and the presence of Lewy bodies. The pathogenesis of PD is believed to involve both genetic susceptibility and environmental factors. Mutations in Leucine-rich repeat kinase 2 (LRRK2) cause genetic forms of PD, and the LRRK2 locus contributes to sporadic PD. Environmental toxins are believed to act in part by causing oxidative stress. Here we employed cell and Drosophila models to investigate the interaction between LRRK2 genetic mutations and oxidative stress. We found that H(2)O(2) increased LRRK2 kinase activity and enhanced LRRK2 cell toxicity in cultured cells and mouse primary cortical neurons. Furthermore, a sub-toxic dose of H(2)O(2) significantly shortened the survival of LRRK2 transgenic flies and augmented LRRK2-induced locomotor defects and dopamine neuron loss. Treatment with a LRRK2 kinase inhibitor (GW5074) or an anti-oxidant (curcumin) significantly suppressed these PD-like phenotypes in flies. Moreover, curcumin significantly reduced LRRK2 kinase activity and the levels of oxidized proteins, and thus acted as not only an antioxidant but also a LRRK2 kinase inhibitor. These results indicate that LRRK2 genetic alterations can interact with oxidative stress, converging on a pathogenic pathway that may be related to PD. These studies also identified curcumin as a LRRK2 kinase inhibitor that may be a useful candidate for LRRK2-linked PD intervention.

  10. The use of scenario-based-learning interactive software to create custom virtual laboratory scenarios for teaching genetics.

    PubMed

    Breakey, Kate M; Levin, Daniel; Miller, Ian; Hentges, Kathryn E

    2008-07-01

    Mutagenesis screens and analysis of mutant phenotypes are one of the most powerful approaches for the study of genetics. Yet genetics students often have difficulty understanding the experimental procedures and breeding crosses required in mutagenesis screens and linking mutant phenotypes to molecular defects. Performing these experiments themselves often aids students in understanding the methodology. However, there are limitations to performing genetics experiments in a student laboratory. For example, the generation time of laboratory model organisms is considerable, and a laboratory exercise that involves many rounds of breeding or analysis of many mutants is not often feasible. Additionally, the cost of running a laboratory practical, along with safety considerations for particular reagents or protocols, often dictates the experiments that students can perform. To provide an alternative to a traditional laboratory module, we have used Scenario-Based-Learning Interactive (SBLi) software to develop a virtual laboratory to support a second year undergraduate course entitled "Genetic Analysis." This resource allows students to proceed through the steps of a genetics experiment, without the time, cost, or safety constraints of a traditional laboratory exercise.

  11. Genotype-Based Bayesian Analysis of Gene-Environment Interactions with Multiple Genetic Markers and Misclassification in Environmental Factors

    PubMed Central

    Lobach, Iryna; Fan, Ruzong

    2015-01-01

    A key component to understanding etiology of complex diseases, such as cancer, diabetes, alcohol dependence, is to investigate gene-environment interactions. This work is motivated by the following two concerns in the analysis of gene-environment interactions. First, multiple genetic markers in moderate linkage disequilibrium may be involved in susceptibility to a complex disease. Second, environmental factors may be subject to misclassification. We develop a genotype based Bayesian pseudolikelihood approach that accommodates linkage disequilibrium in genetic markers and misclassification in environmental factors. Since our approach is genotype based, it allows the observed genetic information to enter the model directly thus eliminating the need to infer haplotype phase and simplifying computations. Bayesian approach allows shrinking parameter estimates towards prior distribution to improve estimation and inference when environmental factors are subject to misclassification. Simulation experiments demonstrated that our method produced parameter estimates that are nearly unbiased even for small sample sizes. An application of our method is illustrated using a case-control study of interaction between early onset of drinking and genes involved in dopamine pathway. PMID:26180529

  12. Genotype-Based Bayesian Analysis of Gene-Environment Interactions with Multiple Genetic Markers and Misclassification in Environmental Factors.

    PubMed

    Lobach, Iryna; Fan, Ruzong

    A key component to understanding etiology of complex diseases, such as cancer, diabetes, alcohol dependence, is to investigate gene-environment interactions. This work is motivated by the following two concerns in the analysis of gene-environment interactions. First, multiple genetic markers in moderate linkage disequilibrium may be involved in susceptibility to a complex disease. Second, environmental factors may be subject to misclassification. We develop a genotype based Bayesian pseudolikelihood approach that accommodates linkage disequilibrium in genetic markers and misclassification in environmental factors. Since our approach is genotype based, it allows the observed genetic information to enter the model directly thus eliminating the need to infer haplotype phase and simplifying computations. Bayesian approach allows shrinking parameter estimates towards prior distribution to improve estimation and inference when environmental factors are subject to misclassification. Simulation experiments demonstrated that our method produced parameter estimates that are nearly unbiased even for small sample sizes. An application of our method is illustrated using a case-control study of interaction between early onset of drinking and genes involved in dopamine pathway.

  13. Genetic and Transcriptional Analysis of Human Host Response to Healthy Gut Microbiota

    PubMed Central

    Richards, Allison L.; Burns, Michael B.; Alazizi, Adnan; Barreiro, Luis B.; Pique-Regi, Roger

    2016-01-01

    ABSTRACT Many studies have demonstrated the importance of the gut microbiota in healthy and disease states. However, establishing the causality of host-microbiota interactions in humans is still challenging. Here, we describe a novel experimental system to define the transcriptional response induced by the microbiota for human cells and to shed light on the molecular mechanisms underlying host-gut microbiota interactions. In primary human colonic epithelial cells, we identified over 6,000 genes whose expression changed at various time points following coculturing with the gut microbiota of a healthy individual. Among the differentially expressed genes we found a 1.8-fold enrichment of genes associated with diseases that have been previously linked to the microbiome, such as obesity and colorectal cancer. In addition, our experimental system allowed us to identify 87 host single nucleotide polymorphisms (SNPs) that show allele-specific expression in 69 genes. Furthermore, for 12 SNPs in 12 different genes, allele-specific expression is conditional on the exposure to the microbiota. Of these 12 genes, 8 have been associated with diseases linked to the gut microbiota, specifically colorectal cancer, obesity, and type 2 diabetes. Our study demonstrates a scalable approach to study host-gut microbiota interactions and can be used to identify putative mechanisms for the interplay between host genetics and the microbiota in health and disease. IMPORTANCE The study of host-microbiota interactions in humans is largely limited to identifying associations between microbial communities and host phenotypes. While these studies have generated important insights on the links between the microbiota and human disease, the assessment of cause-and-effect relationships has been challenging. Although this relationship can be studied in germfree mice, this system is costly, and it is difficult to accurately account for the effects of host genotypic variation and environmental effects

  14. A method for aircraft concept exploration using multicriteria interactive genetic algorithms

    NASA Astrophysics Data System (ADS)

    Buonanno, Michael Alexander

    2005-08-01

    The problem of aircraft concept selection has become increasingly difficult in recent years due to changes in the primary evaluation criteria of concepts. In the past, performance was often the primary discriminator, whereas modern programs have placed increased emphasis on factors such as environmental impact, economics, supportability, aesthetics, and other metrics. The revolutionary nature of the vehicles required to simultaneously meet these conflicting requirements has prompted a shift from design using historical data regression techniques for metric prediction to the use of sophisticated physics-based analysis tools that are capable of analyzing designs outside of the historical database. The use of optimization methods with these physics-based tools, however, has proven difficult because of the tendency of optimizers to exploit assumptions present in the models and drive the design towards a solution which, while promising to the computer, may be infeasible due to factors not considered by the computer codes. In addition to this difficulty, the number of discrete options available at this stage may be unmanageable due to the combinatorial nature of the concept selection problem, leading the analyst to select a sub-optimum baseline vehicle. Some extremely important concept decisions, such as the type of control surface arrangement to use, are frequently made without sufficient understanding of their impact on the important system metrics due to a lack of historical guidance, computational resources, or analysis tools. This thesis discusses the difficulties associated with revolutionary system design, and introduces several new techniques designed to remedy them. First, an interactive design method has been developed that allows the designer to provide feedback to a numerical optimization algorithm during runtime, thereby preventing the optimizer from exploiting weaknesses in the analytical model. This method can be used to account for subjective criteria, or

  15. Does genetic BDNF deficiency in rats interact with neurotransmitter control of prepulse inhibition? Implications for schizophrenia.

    PubMed

    van den Buuse, Maarten; Biel, Davina; Radscheit, Kathrin

    2017-04-03

    Several studies have suggested a role of BDNF in the development of schizophrenia. For example, post-mortem studies have shown significantly reduced levels of BDNF protein expression in the brain of schizophrenia patients. We investigated the relationship between reduced levels of BDNF in the brain and the regulation of prepulse inhibition (PPI), a behavioral endophenotype of schizophrenia. We used BDNF heterozygous mutant rats which display a 50% decrease of mature BDNF protein levels. Previously, we observed normal baseline PPI and responses to the dopamine D1/D2 receptor agonist, apomorphine, in these rats. Here, we focused on the effects of the NMDA receptor antagonist, MK-801, its interaction with mGluR2/3 and mGluR5 receptors, and the PPI response to serotonergic drugs. MK-801 administration caused a dose-dependent reduction of PPI and increase of startle amplitudes. Baseline PPI and the effect of 0.02-0.1mg/kg of MK-801 were not significantly altered in male or female BDNF heterozygous rats, although the MK-801-induced increase in startle levels was reduced. Co-treatment with the mGluR2/3 agonist, LY379,268, or the mGluR5 antagonist, MPEP, did not alter the effect of MK-801 on PPI in controls or BDNF mutant rats. Treatment with the serotonin-1A receptor agonist, 8-OH-DPAT, the serotonin-2A receptor agonist, DOI, or the serotonin releaser, fenfluramine, induced differential effects on PPI and startle but these effects were not different between the genotypes. These results show that a significant decrease of BDNF protein expression does not lead to reduced PPI at baseline or changes in the regulation of PPI via NMDA receptors or serotonergic mechanisms. These findings in a genetic rat model of BDNF deficiency do not support a role for similar reductions of BDNF levels in schizophrenia in the disruption of PPI, widely reported as an endophenotype of the illness. The potential implications of these results for our understanding of changes in PPI and BDNF

  16. The InterAct Project: An Examination of the Interaction of Genetic and Lifestyle Factors on the Incidence of Type 2 Diabetes in the EPIC Study

    PubMed Central

    Langenberg, C; Sharp, S; Forouhi, NG; Franks, P; Schulze, MB; Kerrison, N; Ekelund, U; Barroso, I; Panico, S; Tormo, M; Spranger, J; Griffin, S; van der Schouw, YT; Amiano, P; Ardanaz, E; Arriola, L; Balkau, B; Barricarte, A; Beulens, JWJ; Boeing, H; Bueno-de-Mesquita, HB; Buijsse, BB; Chirlaque Lopez, MD; Clavel-Chapelon, F; Crowe, FL; de Lauzon-Guillan, B; Deloukas, P; Dorronsoro, M; Drogan, DD; Froguel, P; Gonzalez, C; Grioni, S; Groop, L; Groves, C; Hainaut, P; Halkjaer, J; Hallmans, G; Hansen, T; Kaaks, R; Key, TJ; Khaw, K; Koulman, A; Mattiello, A; Navarro, C; Nilsson, P; Norat, T; Overvad, K; Palla, L; Palli, D; Pedersen, O; Peeters, PH; Quirós, JR; Ramachandran, A; Rodriguez-Suarez, L; Rolandsson, O; Romaguera, D; Romieu, I; Sacerdote, C; Sánchez, M; Sandbaek, A; Slimani, N; Sluijs, I; Spijkerman, AMW; Teucher, B; Tjonneland, A; Tumino, R; van der A, DL; Verschuren, WMM; Tuomilehto, J; Feskens, E; McCarthy, M; Riboli, E; Wareham, NJ

    2014-01-01

    Background Studying gene-lifestyle interaction may help to identify lifestyle factors that modify genetic susceptibility and uncover genetic loci exerting important subgroup effects. Adequately powered studies with prospective, unbiased, standardised assessment of key behavioural factors for gene-lifestyle studies are lacking. Objective To establish a type 2 diabetes case-cohort study designed to investigate how genetic and potentially modifiable lifestyle and behavioral factors, particularly diet and physical activity, interact in their influence on the risk of developing type 2 diabetes. Methods Funded by the Sixth European Framework Programme, InterAct consortium partners ascertained and verified incident cases of type 2 diabetes occurring in European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts between 1991 and 2007 from 8 of the 10 EPIC countries. A pragmatic, high sensitivity approach was used for case ascertainment including multiple sources at each EPIC centre, followed by diagnostic verification. Prentice-weighted Cox regression and random effects meta-analyses were used to investigate differences in diabetes incidence by age and sex. Results A total of 12,403 verified incident cases of type 2 diabetes occurred during 3.99 million person-years of follow-up of 340,234 EPIC participants eligible for InterAct. We defined a centre stratified subcohort of 16,154 individuals for comparative analyses. Individuals with incident diabetes that were randomly selected into the subcohort (n=778) were included as cases in the analyses. All prevalent diabetes cases were excluded from the study. InterAct cases were followed-up for an average of 6.9 years, 49.7% were men. Mean baseline age and age at diagnosis were 55.6 and 62.5 years, mean BMI and waist were 29.4 kg/m2 and 102.7 cm in men, and 30.1 kg/m2 and 92.8 cm in women, respectively. Risk of type 2 diabetes increased linearly with age, with an overall hazard ratio (95% CI) of 1.56 (1.48; 1

  17. Stringent mating-type-regulated auxotrophy increases the accuracy of systematic genetic interaction screens with Saccharomyces cerevisiae mutant arrays.

    PubMed

    Singh, Indira; Pass, Rebecca; Togay, Sine Ozmen; Rodgers, John W; Hartman, John L

    2009-01-01

    A genomic collection of haploid Saccharomyces cerevisiae deletion strains provides a unique resource for systematic analysis of gene interactions. Double-mutant haploid strains can be constructed by the synthetic genetic array (SGA) method, wherein a query mutation is introduced by mating to mutant arrays, selection of diploid double mutants, induction of meiosis, and selection of recombinant haploid double-mutant progeny. The mechanism of haploid selection is mating-type-regulated auxotrophy (MRA), by which prototrophy is restricted to a particular haploid genotype generated only as a result of meiosis. MRA escape leads to false-negative genetic interaction results because postmeiotic haploids that are supposed to be under negative selection instead proliferate and mate, forming diploids that are heterozygous at interacting loci, masking phenotypes that would be observed in a pure haploid double-mutant culture. This work identified factors that reduce MRA escape, including insertion of terminator and repressor sequences upstream of the MRA cassette, deletion of silent mating-type loci, and utilization of alpha-type instead of a-type MRA. Modifications engineered to reduce haploid MRA escape reduced false negative results in SGA-type analysis, resulting in >95% sensitivity for detecting gene-gene interactions.

  18. Sequence-specific interaction between HIV-1 matrix protein and viral genomic RNA revealed by in vitro genetic selection.

    PubMed Central

    Purohit, P; Dupont, S; Stevenson, M; Green, M R

    2001-01-01

    The human immunodeficiency virus type-1 matrix protein (HIV-1 MA) is a multifunctional structural protein synthesized as part of the Pr55 gag polyprotein. We have used in vitro genetic selection to identify an RNA consensus sequence that specifically interacts with MA (Kd = 5 x 10(-7) M). This 13-nt MA binding consensus sequence bears a high degree of homology (77%) to a region (nt 1433-1446) within the POL open reading frame of the HIV-1 genome (consensus sequence from 38 HIV-1 strains). Chemical interference experiments identified the nucleotides within the MA binding consensus sequence involved in direct contact with MA. We further demonstrate that this RNA-protein interaction is mediated through a stretch of basic amino acids within MA. Mutations that disrupt the interaction between MA and its RNA binding site within the HIV-1 genome resulted in a measurable decrease in viral replication. PMID:11345436

  19. Identifying genetic loci associated with antidepressant drug response with drug-gene interaction models in a population-based study.

    PubMed

    Noordam, Raymond; Direk, Nese; Sitlani, Colleen M; Aarts, Nikkie; Tiemeier, Henning; Hofman, Albert; Uitterlinden, André G; Psaty, Bruce M; Stricker, Bruno H; Visser, Loes E

    2015-03-01

    It has been difficult to identify genes affecting drug response to Selective Serotonin Reuptake Inhibitors (SSRIs). We used multiple cross-sectional assessments of depressive symptoms in a population-based study to identify potential genetic interactions with SSRIs as a model to study genetic variants associated with SSRI response. This study, embedded in the prospective Rotterdam Study, included all successfully genotyped participants with data on depressive symptoms (CES-D scores). We used repeated measurement models to test multiplicative interaction between genetic variants and use of SSRIs on repeated CESD scores. Besides a genome-wide analysis, we also performed an analysis which was restricted to genes related to the serotonergic signaling pathway. A total of 273 out of 14,937 assessments of depressive symptoms in 6443 participants, use of an SSRI was recorded. After correction for multiple testing, no plausible loci were identified in the genome-wide analysis. However, among the top 10 independent loci with the lowest p-values, findings within two genes (FSHR and HMGB4) might be of interest. Among 26 genes related to the serotonergic signaling pathway, the rs6108160 polymorphism in the PLCB1 gene reached statistical significance after Bonferroni correction (p-value = 8.1e-5). Also, the widely replicated 102C > T polymorphism in the HTR2A gene showed a statistically significant drug-gene interaction with SSRI use. Therefore, the present study suggests that drug-gene interaction models on (repeated) cross-sectional assessments of depressive symptoms in a population-based study can identify potential loci that may influence SSRI response.

  20. Infection and inflammation in schizophrenia and bipolar disorder: a genome wide study for interactions with genetic variation.

    PubMed

    Avramopoulos, Dimitrios; Pearce, Brad D; McGrath, John; Wolyniec, Paula; Wang, Ruihua; Eckart, Nicole; Hatzimanolis, Alexandros; Goes, Fernando S; Nestadt, Gerald; Mulle, Jennifer; Coneely, Karen; Hopkins, Myfanwy; Ruczinski, Ingo; Yolken, Robert; Pulver, Ann E

    2015-01-01

    Inflammation and maternal or fetal infections have been suggested as risk factors for schizophrenia (SZ) and bipolar disorder (BP). It is likely that such environmental effects are contingent on genetic background. Here, in a genome-wide approach, we test the hypothesis that such exposures increase the risk for SZ and BP and that the increase is dependent on genetic variants. We use genome-wide genotype data, plasma IgG antibody measurements against Toxoplasma gondii, Herpes simplex virus type 1, Cytomegalovirus, Human Herpes Virus 6 and the food antigen gliadin as well as measurements of C-reactive protein (CRP), a peripheral marker of inflammation. The subjects are SZ cases, BP cases, parents of cases and screened controls. We look for higher levels of our immunity/infection variables and interactions between them and common genetic variation genome-wide. We find many of the antibody measurements higher in both disorders. While individual tests do not withstand correction for multiple comparisons, the number of nominally significant tests and the comparisons showing the expected direction are in significant excess (permutation p=0.019 and 0.004 respectively). We also find CRP levels highly elevated in SZ, BP and the mothers of BP cases, in agreement with existing literature, but possibly confounded by our inability to correct for smoking or body mass index. In our genome-wide interaction analysis no signal reached genome-wide significance, yet many plausible candidate genes emerged. In a hypothesis driven test, we found multiple interactions among SZ-associated SNPs in the HLA region on chromosome 6 and replicated an interaction between CMV infection and genotypes near the CTNNA3 gene reported by a recent GWAS. Our results support that inflammatory processes and infection may modify the risk for psychosis and suggest that the genotype at SZ-associated HLA loci modifies the effect of these variables on the risk to develop SZ.

  1. The Genetic Architecture of Noise-Induced Hearing Loss: Evidence for a Gene-by-Environment Interaction

    PubMed Central

    Lavinsky, Joel; Ge, Marshall; Crow, Amanda L.; Pan, Calvin; Wang, Juemei; Salehi, Pezhman; Myint, Anthony; Eskin, Eleazar; Allayee, Hooman; Lusis, Aldons J.; Friedman, Rick A.

    2016-01-01

    The discovery of environmentally specific genetic effects is crucial to the understanding of complex traits, such as susceptibility to noise-induced hearing loss (NIHL). We describe the first genome-wide association study (GWAS) for NIHL in a large and well-characterized population of inbred mouse strains, known as the Hybrid Mouse Diversity Panel (HMDP). We recorded auditory brainstem response (ABR) thresholds both pre and post 2-hr exposure to 10-kHz octave band noise at 108 dB sound pressure level in 5–6-wk-old female mice from the HMDP (4–5 mice/strain). From the observation that NIHL susceptibility varied among the strains, we performed a GWAS with correction for population structure and mapped a locus on chromosome 6 that was statistically significantly associated with two adjacent frequencies. We then used a “genetical genomics” approach that included the analysis of cochlear eQTLs to identify candidate genes within the GWAS QTL. In order to validate the gene-by-environment interaction, we compared the effects of the postnoise exposure locus with that from the same unexposed strains. The most significant SNP at chromosome 6 (rs37517079) was associated with noise susceptibility, but was not significant at the same frequencies in our unexposed study. These findings demonstrate that the genetic architecture of NIHL is distinct from that of unexposed hearing levels and provide strong evidence for gene-by-environment interactions in NIHL. PMID:27520957

  2. Genetic interactions of DST1 in Saccharomyces cerevisiae suggest a role of TFIIS in the initiation-elongation transition.

    PubMed Central

    Malagon, Francisco; Tong, Amy H; Shafer, Brenda K; Strathern, Jeffrey N

    2004-01-01

    TFIIS promotes the intrinsic ability of RNA polymerase II to cleave the 3'-end of the newly synthesized RNA. This stimulatory activity of TFIIS, which is dependent upon Rpb9, facilitates the resumption of transcription elongation when the polymerase stalls or arrests. While TFIIS has a pronounced effect on transcription elongation in vitro, the deletion of DST1 has no major effect on cell viability. In this work we used a genetic approach to increase our knowledge of the role of TFIIS in vivo. We showed that: (1) dst1 and rpb9 mutants have a synthetic growth defective phenotype when combined with fyv4, gim5, htz1, yal011w, ybr231c, soh1, vps71, and vps72 mutants that is exacerbated during germination or at high salt concentrations; (2) TFIIS and Rpb9 are essential when the cells are challenged with microtubule-destabilizing drugs; (3) among the SDO (synthetic with Dst one), SOH1 shows the strongest genetic interaction with DST1; (4) the presence of multiple copies of TAF14, SUA7, GAL11, RTS1, and TYS1 alleviate the growth phenotype of dst1 soh1 mutants; and (5) SRB5 and SIN4 genetically interact with DST1. We propose that TFIIS is required under stress conditions and that TFIIS is important for the transition between initiation and elongation in vivo. PMID:15082542

  3. Comparison of approaches for machine-learning optimization of neural networks for detecting gene-gene interactions in genetic epidemiology.

    PubMed

    Motsinger-Reif, Alison A; Dudek, Scott M; Hahn, Lance W; Ritchie, Marylyn D

    2008-05-01

    The detection of genotypes that predict common, complex disease is a challenge for human geneticists. The phenomenon of epistasis, or gene-gene interactions, is particularly problematic for traditional statistical techniques. Additionally, the explosion of genetic information makes exhaustive searches of multilocus combinations computationally infeasible. To address these challenges, neural networks (NN), a pattern recognition method, have been used. One limitation of the NN approach is that its success is dependent on the architecture of the network. To solve this, machine-learning approaches have been suggested to evolve the best NN architecture for a particular data set. In this study we provide a detailed technical description of the use of grammatical evolution to optimize neural networks (GENN) for use in genetic association studies. We compare the performance of GENN to that of a previous machine-learning NN application--genetic programming neural networks in both simulated and real data. We show that GENN greatly outperforms genetic programming neural networks in data sets with a large number of single nucleotide polymorphisms. Additionally, we demonstrate that GENN has high power to detect disease-risk loci in a range of high-order epistatic models. Finally, we demonstrate the scalability of the GENN method with increasing numbers of variables--as many as 500,000 single nucleotide polymorphisms.

  4. A novel role for transcription factor Lmo4 in thymus development through genetic interaction with Cited2.

    PubMed

    Michell, Anna C; Bragança, José; Broadbent, Carol; Joyce, Bradley; Franklyn, Angela; Schneider, Jürgen E; Bhattacharya, Shoumo; Bamforth, Simon D

    2010-07-01

    Deletion of the transcriptional modulator Cited2 in the mouse results in embryonic lethality, cardiovascular malformations, adrenal agenesis, cranial ganglia fusion, exencephaly, and left-right patterning defects, all seen with a varying degree of penetrance. The phenotypic heterogeneity, observed on different genetic backgrounds, indicates the existence of both genetic and environmental modifiers. Mice lacking the LIM domain-containing protein Lmo4 share specific phenotypes with Cited2 null embryos, such as embryonic lethality, cranial ganglia fusion, and exencephaly. These shared phenotypes suggested that Lmo4 may be a potential genetic modifier of the Cited2 phenotype. Examination of Lmo4-deficient embryos revealed partially penetrant cardiovascular malformations and hypoplastic thymus. Examination of Lmo4;Cited2 compound mutants indicated that there is a genetic interaction between Cited2 and Lmo4 in control of thymus development. Our data suggest that this may occur, in part, through control of expression of a common target gene, Tbx1, which is necessary for normal thymus development.

  5. Environmental and genetic risk factors and gene-environment interactions in the pathogenesis of chronic obstructive lung disease.

    PubMed Central

    Walter, R; Gottlieb, D J; O'Connor, G T

    2000-01-01

    Current understanding of the pathogenesis of chronic obstructive pulmonary disease (COPD), a source of substantial morbidity and mortality in the United States, suggests that chronic inflammation leads to the airways obstruction and parenchymal destruction that characterize this condition. Environmental factors, especially tobacco smoke exposure, are known to accelerate longitudinal decline of lung function, and there is substantial evidence that upregulation of inflammatory pathways plays a vital role in this process. Genetic regulation of both inflammatory responses and anti-inflammatory protective mechanisms likely underlies the heritability of COPD observed in family studies. In alpha-1 protease inhibitor deficiency, the only genetic disorder known to cause COPD, lack of inhibition of elastase activity, results in the parenchymal destruction of emphysema. Other genetic polymorphisms have been hypothesized to alter the risk of COPD but have not been established as causes of this condition. It is likely that multiple genetic factors interacting with each other and with a number of environmental agents will be found to result in the development of COPD. PMID:10931792

  6. Interactions of HIV and drugs of abuse: the importance of glia, neural progenitors, and host genetic factors.

    PubMed

    Hauser, Kurt F; Knapp, Pamela E

    2014-01-01

    Considerable insight has been gained into the comorbid, interactive effects of HIV and drug abuse in the brain using experimental models. This review, which considers opiates, methamphetamine, and cocaine, emphasizes the importance of host genetics and glial plasticity in driving the pathogenic neuron remodeling underlying neuro-acquired immunodeficiency syndrome and drug abuse comorbidity. Clinical findings are less concordant than experimental work, and the response of individuals to HIV and to drug abuse can vary tremendously. Host-genetic variability is important in determining viral tropism, neuropathogenesis, drug responses, and addictive behavior. However, genetic differences alone cannot account for individual variability in the brain "connectome." Environment and experience are critical determinants in the evolution of synaptic circuitry throughout life. Neurons and glia both exercise control over determinants of synaptic plasticity that are disrupted by HIV and drug abuse. Perivascular macrophages, microglia, and to a lesser extent astroglia can harbor the infection. Uninfected bystanders, especially astroglia, propagate and amplify inflammatory signals. Drug abuse by itself derails neuronal and glial function, and the outcome of chronic exposure is maladaptive plasticity. The negative consequences of coexposure to HIV and drug abuse are determined by numerous factors including genetics, sex, age, and multidrug exposure. Glia and some neurons are generated throughout life, and their progenitors appear to be targets of HIV and opiates/psychostimulants. The chronic nature of HIV and drug abuse appears to result in sustained alterations in the maturation and fate of neural progenitors, which may affect the balance of glial populations within multiple brain regions.

  7. Selection Transforms the Landscape of Genetic Variation Interacting with Hsp90

    PubMed Central

    Geiler-Samerotte, Kerry A.; Zhu, Yuan O.; Goulet, Benjamin E.; Hall, David W.; Siegal, Mark L.

    2016-01-01

    The protein-folding chaperone Hsp90 has been proposed to buffer the phenotypic effects of mutations. The potential for Hsp90 and other putative buffers to increase robustness to mutation has had major impact on disease models, quantitative genetics, and evolutionary theory. But Hsp90 sometimes contradicts expectations for a buffer by potentiating rapid phenotypic changes that would otherwise not occur. Here, we quantify Hsp90’s ability to buffer or potentiate (i.e., diminish or enhance) the effects of genetic variation on single-cell morphological features in budding yeast. We corroborate reports that Hsp90 tends to buffer the effects of standing genetic variation in natural populations. However, we demonstrate that Hsp90 tends to have the opposite effect on genetic variation that has experienced reduced selection pressure. Specifically, Hsp90 tends to enhance, rather than diminish, the effects of spontaneous mutations and recombinations. This result implies that Hsp90 does not make phenotypes more robust to the effects of genetic perturbation. Instead, natural selection preferentially allows buffered alleles to persist and thereby creates the false impression that Hsp90 confers greater robustness. PMID:27768682

  8. Genes: Interactions with Language on Three Levels—Inter-Individual Variation, Historical Correlations and Genetic Biasing

    NASA Astrophysics Data System (ADS)

    Dediu, Dan

    The complex inter-relationships between genetics and linguistics encompass all four scales highlighted by the contributions to this book and, together with cultural transmission, the genetics of language holds the promise to offer a unitary understanding of this fascinating phenomenon. There are inter-individual differences in genetic makeup which contribute to the obvious fact that we are not identical in the way we understand and use language and, by studying them, we will be able to both better treat and enhance ourselves. There are correlations between the genetic configuration of human groups and their languages, reflecting the historical processes shaping them, and there also seem to exist genes which can influence some characteristics of language, biasing it towards or against certain states by altering the way language is transmitted across generations. Besides the joys of pure knowledge, the understanding of these three aspects of genetics relevant to language will potentially trigger advances in medicine, linguistics, psychology or the understanding of our own past and, last but not least, a profound change in the way we regard one of the emblems of being human: our capacity for language.

  9. Exploring the gene: Interactive exhibits on genetics and the human genome. Final report

    SciTech Connect

    Not Available

    1994-05-01

    Under funding by the United States Department of Energy, the Exploratorium has substantially completed the prototype development of four exhibits on the nature of DNA and genetics, and substantially completed the production of ed exhibits based on these prototypes. Individually these genetic exhibits have been designed to elucidate specific themes, such as, the molecular properties of DNA, the encoding of genetic information, the expression of genetic information, and technological manipulation. The exhibits are titled Dancing DNA, Marching Bands, Protein Production Line, and Genetic Playbook. Specific exhibit projects are detailed below. In all the exhibits we have sought to draw a relationship between the nature of DNA and its expression in organisms. For most visitors, DNA exists as an invisible abstract molecule with marginal connections to their lives, while organisms exist as a familiar tangible entities. Inclusion of this broad thematic connection provides the crucial bridge between the abstract principles and the real world, and serves to underpin scientific, medical, and public interest in the topic.

  10. Bayesian analysis of genetic interactions in case-control studies, with application to adiponectin genes and colorectal cancer risk.

    PubMed

    Yi, Nengjun; Kaklamani, Virginia G; Pasche, Boris

    2011-01-01

    Complex diseases such as cancers are influenced by interacting networks of genetic and environmental factors. However, a joint analysis of multiple genes and environmental factors is challenging, owing to potentially large numbers of correlated and complex variables. We describe Bayesian generalized linear models for simultaneously analyzing covariates, main effects of numerous loci, gene-gene and gene-environment interactions in population case-control studies. Our Bayesian models use Student-t prior distributions with different shrinkage parameters for different types of effects, allowing reliable estimates of main effects and interactions and hence increasing the power for detection of real signals. We implement a fast and stable algorithm for fitting models by extending available tools for classical generalized linear models to the Bayesian case. We propose a novel method to interpret and visualize models with multiple interactions by computing the average predictive probability. Simulations show that the method has the potential to dissect interacting networks of complex diseases. Application of the method to a large case-control study of adiponectin genes and colorectal cancer risk highlights the previous results and detects new epistatic interactions and sex-specific effects that warrant follow-up in independent studies.

  11. Interactive Decision Support for Risk Management: a Qualitative Evaluation in Cancer Genetic Counselling Sessions

    PubMed Central

    Oettinger, Ayelet; Braithwaite, Dejana; Fox, John

    2010-01-01

    Genetic counselling for inherited susceptibility to cancer involves communication of a significant amount of information about possible consequences of different interventions. This study explores counsellors' attitudes to computer software designed to aid this process. Eight genetic counsellors used the software with actors playing patients. Clinicians' rating of expected patient satisfaction, content, accuracy, timeliness, format, overall value, ease of use, effect on the patient–provider relationship and effect on clinician's performance were evaluated via qualitative and quantitative analysis of interviews, training tasks and questionnaires. Most counsellors found the software effective. Concerns related to possible impact on consultation dynamics and content. Participants suggested countering these through appropriate new counselling skills and selective use of the computer. The REACT software could provide effective support for genetic risk management counselling. PMID:20162470

  12. Telomerase RNA Component (TERC) genetic variants interact with the mediterranean diet modifying the inflammatory status and its relationship with aging: CORDIOPREV study

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Background: Leukocyte telomere length (LTL) attrition has been associated with age-related diseases. Telomerase RNA Component (TERC) genetic variants have been associated with LTL; whereas fatty acids (FAs) can interact with genetic factors and influence in aging. We explore whether variability at t...

  13. A strong genetic correlation underlying a behavioural syndrome disappears during development because of genotype–age interactions

    PubMed Central

    Class, Barbara; Brommer, Jon E.

    2015-01-01

    In animal populations, as in humans, behavioural differences between individuals that are consistent over time and across contexts are considered to reflect personality, and suites of correlated behaviours expressed by individuals are known as behavioural syndromes. Lifelong stability of behavioural syndromes is often assumed, either implicitly or explicitly. Here, we use a quantitative genetic approach to study the developmental stability of a behavioural syndrome in a wild population of blue tits. We find that a behavioural syndrome formed by a strong genetic correlation of two personality traits in nestlings disappears in adults, and we demonstrate that genotype–age interaction is the likely mechanism underlying this change during development. A behavioural syndrome may hence change during organismal development, even when personality traits seem to be strongly physiologically or functionally linked in one age group. We outline how such developmental plasticity has important ramifications for understanding the mechanistic basis as well as the evolutionary consequences of behavioural syndromes. PMID:26041348

  14. Genomic testing interacts with reproductive surplus in reducing genetic lag and increasing economic net return.

    PubMed

    Hjortø, L; Ettema, J F; Kargo, M; Sørensen, A C

    2015-01-01

    Until now, genomic information has mainly been used to improve the accuracy of genomic breeding values for breeding animals at a population level. However, we hypothesize that the use of information from genotyped females also opens up the possibility of reducing genetic lag in a dairy herd, especially if genomic tests are used in combination with sexed semen or a high management level for reproductive performance, because both factors provide the opportunity for generating a reproductive surplus in the herd. In this study, sexed semen is used in combination with beef semen to produce high-value crossbred beef calves. Thus, on average there is no surplus of and selection among replacement heifers whether to go into the herd or to be sold. In this situation, the selection opportunities arise when deciding which cows to inseminate with sexed semen, conventional semen, or beef semen. We tested the hypothesis by combining the results of 2 stochastic simulation programs, SimHerd and ADAM. SimHerd estimates the economic effect of different strategies for use of sexed semen and beef semen at 3 levels of reproductive performance in a dairy herd. Besides simulating the operational return, SimHerd also simulates the parity distribution of the dams of heifer calves. The ADAM program estimates genetic merit per year in a herd under different strategies for use of sexed semen and genomic tests. The annual net return per slot was calculated as the sum of operational return and value of genetic lag minus costs of genomic tests divided by the total number of slots. Our results showed that the use of genomic tests for decision making decreases genetic lag by as much as 0.14 genetic standard deviation units of the breeding goal and that genetic lag decreases even more (up to 0.30 genetic standard deviation units) when genomic tests are used in combination with strategies for increasing and using a reproductive surplus. Thus, our hypothesis was supported. We also observed that

  15. Genetic interaction of hnRNPA2B1 and DNAJB6 in a Drosophila model of multisystem proteinopathy

    PubMed Central

    Li, Songqing; Zhang, Peipei; Freibaum, Brian D.; Kim, Nam Chul; Kolaitis, Regina-Maria; Molliex, Amandine; Kanagaraj, Anderson P.; Yabe, Ichiro; Tanino, Mishie; Tanaka, Shinya; Sasaki, Hidenao; Ross, Eric D.; Taylor, J. Paul; Kim, Hong Joo

    2016-01-01

    Adult-onset inherited myopathies with similar pathological features, including hereditary inclusion body myopathy (hIBM) and limb-girdle muscular dystrophy (LGMD), are a genetically heterogeneous group of muscle diseases. It is unclear whether these inherited myopathies initiated by mutations in distinct classes of genes are etiologically related. Here, we exploit a genetic model system to establish a mechanistic link between diseases caused by mutations in two distinct genes, hnRNPA2B1 and DNAJB6. Hrb98DE and mrj are the Drosophila melanogaster homologs of human hnRNPA2B1 and DNAJB6, respectively. We introduced disease-homologous mutations to Hrb98DE, thus capturing mutation-dependent phenotypes in a genetically tractable model system. Ectopic expression of the disease-associated mutant form of hnRNPA2B1 or Hrb98DE in fly muscle resulted in progressive, age-dependent cytoplasmic inclusion pathology, as observed in humans with hnRNPA2B1-related myopathy. Cytoplasmic inclusions consisted of hnRNPA2B1 or Hrb98DE protein in association with the stress granule marker ROX8 and additional endogenous RNA-binding proteins (RBPs), suggesting that these pathological inclusions are related to stress granules. Notably, TDP-43 was also recruited to these cytoplasmic inclusions. Remarkably, overexpression of MRJ rescued this phenotype and suppressed the formation of cytoplasmic inclusions, whereas reduction of endogenous MRJ by a classical loss of function allele enhanced it. Moreover, wild-type, but not disease-associated, mutant forms of MRJ interacted with RBPs after heat shock and prevented their accumulation in aggregates. These results indicate both genetic and physical interactions between disease-linked RBPs and DNAJB6/mrj, suggesting etiologic overlap between the pathogenesis of hIBM and LGMD initiated by mutations in hnRNPA2B1 and DNAJB6. PMID:26744327

  16. Methods for Detecting Interactions Between Genetic Polymorphisms and Prenatal Environment Exposure with a Mother-Child Design

    PubMed Central

    Wang, Shuang; Zheng, Tian; Chanock, Stephen; Jedrychowski, Wieslaw; Perera, Frederica P.

    2009-01-01

    Prenatal exposures such as polycyclic aromatic hydrocarbons (PAH) and early postnatal environmental exposures are of particular concern because of the heightened susceptibility of the fetus and infant to diverse environmental pollutants. Marked inter-individual variation in response to the same level of exposure was observed in both mothers and their newborns, indicating susceptibility might be due to genetic factors. With the mother-child pair design, existing methods developed for parent-child trio data or random sample data are either not applicable or not designed to optimally use the information. To take full advantage of this unique design which provides partial information on genetic transmission and has both maternal and newborn outcome status collected, we developed a likelihood-based method that uses both the maternal and the newborn information together and jointly models gene-environment interactions on maternal and newborn outcomes. Through intensive simulation studies, the proposed method has demonstrated much improved power in detecting gene-environment interactions. The application on a real mother-child pair data from a study conducted in Krakow, Poland suggested four significant gene-environment interactions after multiple comparisons adjustment. PMID:19582785

  17. Kindergarten Children's Genetic Vulnerabilities Interact with Friends' Aggression to Promote Children's Own Aggression

    ERIC Educational Resources Information Center

    van Lier, Pol; Boivin, Michel; Dionne, Ginette; Vitaro, Frank; Brendgen, Mara; Koot, Hans; Tremblay, Richard E.; Perusse, Daniel

    2007-01-01

    Objective: To examine whether kindergarten children's genetic liability to physically aggress moderates the contribution of friends' aggression to their aggressive behaviors. Method: Teacher and peer reports of aggression were available for 359 6-year-old twin pairs (145 MZ, 212 DZ) as well as teacher and peer reports of aggression of the two best…

  18. Genetic determinants of cardiometabolic risk: a proposed model for phenotype association and interaction.

    PubMed

    Blackett, Piers R; Sanghera, Dharambir K

    2013-01-01

    This review provides a translational and unifying summary of metabolic syndrome genetics and highlights evidence that genetic studies are starting to unravel and untangle origins of the complex and challenging cluster of disease phenotypes. The associated genes effectively express in the brain, liver, kidney, arterial endothelium, adipocytes, myocytes, and β cells. Progression of syndrome traits has been associated with ectopic lipid accumulation in the arterial wall, visceral adipocytes, myocytes, and liver. Thus, it follows that the genetics of dyslipidemia, obesity, and nonalcoholic fatty liver disease are central in triggering progression of the syndrome to overt expression of disease traits and have become a key focus of interest for early detection and for designing prevention and treatments. To support the "birds' eye view" approach, we provide a road-map depicting commonality and interrelationships between the traits and their genetic and environmental determinants based on known risk factors, metabolic pathways, pharmacologic targets, treatment responses, gene networks, pleiotropy, and association with circadian rhythm. Although only a small portion of the known heritability is accounted for and there is insufficient support for clinical application of gene-based prediction models, there is direction and encouraging progress in a rapidly moving field that is beginning to show clinical relevance.

  19. Chemical interactions between amino acid and RNA: multiplicity of the levels of specificity explains origin of the genetic code

    NASA Astrophysics Data System (ADS)

    Seligmann, Hervé; Amzallag, Nissim

    2002-11-01

    The emergence of the genetic code remains an enigma. Proposed mechanisms are based on random, historical, thermodynamic and natural selection. However, they introduce chance as a key factor for overcoming the difficulties encountered by the model. We propose here a model in which three successive levels of chemical specificity generated the nucleotide assignments of amino acids in the genetic code. The first level results from hydrophobic and stereospecific interactions between amino acids and short oligonucleotides (termed oligons). The second and third levels of specificity are determined by conditions of energy transfer from loaded oligons (amino acid-oligomer covalently linked) to formation of phosphodiester bond (second level of specificity) and peptidic bond (third level of specificity), while these reactions are catalyzed by RNA templates. This model is sustained by the relationships observed between dipole moments of the nucleotides (forming the anticodon) and reactivity of the amino acyl linkage of the loaded oligon. Moreover, analysis of modern tRNAs reveals that they were probably generated by loose duplication of the nucleotide sequence forming the oligons, after emergence of the 'genetic code.' Indeed, the similarity of nucleotide composition with that of the anticodon decreases with the tRNA domain's distance from the anticodon, but the acceptor stem is relatively more similar to the anticodon than other stems closer to it. This would be because energy transfer constraints that existed between anticodon and amino acid in prebiotic loaded oligonucleotides still affect the structures of modern tRNA acceptor stems. In the model presented, the genetic code is inherent to the most archaic 'molecular physiology' in protolife, even before emergence of a functional 'protein world.' Simple physical processes, in which a level of specificity is integrated in an emerging meta-structure expressing new properties, generate a parsimonious and realistic explanation

  20. Genetic causes and gene–nutrient interactions in mammalian zinc deficiencies: acrodermatitis enteropathica and transient neonatal zinc deficiency as examples.

    PubMed

    Kasana, Shakhenabat; Din, Jamila; Maret, Wolfgang

    2015-01-01

    Discovering genetic causes of zinc deficiency has been a remarkable scientific journey. It started with the description of a rare skin disease, its treatment with various agents, the successful therapy with zinc, and the identification of mutations in a zinc transporter causing the disease. The journey continues with defining the molecular and cellular pathways that lead to the symptoms caused by zinc deficiency. Remarkably, at least two zinc transporters from separate protein families are now known to be involved in the genetics of zinc deficiency. One is ZIP4, which is involved in intestinal zinc uptake. Its mutations can cause acrodermatitis enteropathica (AE) with autosomal recessive inheritance. The other one is ZnT2, the transporter responsible for supplying human milk with zinc. Mutations in this transporter cause transient neonatal zinc deficiency (TNZD) with symptoms similar to AE but with autosomal dominant inheritance. The two diseases can be distinguished in affected infants. AE is fatal if zinc is not supplied to the infant after weaning, whereas TNZD is a genetic defect of the mother limiting the supply of zinc in the milk, and therefore the infant usually will obtain enough zinc once weaned. Although these diseases are relatively rare, the full functional consequences of the numerous mutations in ZIP4 and ZnT2 and their interactions with dietary zinc are not known. In particular, it remains unexplored whether some mutations cause milder disease phenotypes or increase the risk for other diseases if dietary zinc requirements are not met or exceeded. Thus, it is not known whether widespread zinc deficiency in human populations is based primarily on a nutritional deficiency or determined by genetic factors as well. This consideration becomes even more significant with regard to mutations in the other 22 human zinc transporters, where associations with a range of diseases, including diabetes, heart disease, and mental illnesses have been observed

  1. A genome-wide trans-ethnic interaction study links the PIGR-FCAMR locus to coronary atherosclerosis via interactions between genetic variants and residential exposure to traffic

    PubMed Central

    Neas, Lucas M.; Blach, Colette; Haynes, Carol S.; LaRocque-Abramson, Karen; Grass, Elizabeth; Dowdy, Z. Elaine; Devlin, Robert B.; Diaz-Sanchez, David; Cascio, Wayne E.; Miranda, Marie Lynn; Gregory, Simon G.; Shah, Svati H.; Kraus, William E.; Hauser, Elizabeth R.

    2017-01-01

    Air pollution is a worldwide contributor to cardiovascular disease mortality and morbidity. Traffic-related air pollution is a widespread environmental exposure and is associated with multiple cardiovascular outcomes such as coronary atherosclerosis, peripheral arterial disease, and myocardial infarction. Despite the recognition of the importance of both genetic and environmental exposures to the pathogenesis of cardiovascular disease, studies of how these two contributors operate jointly are rare. We performed a genome-wide interaction study (GWIS) to examine gene-traffic exposure interactions associated with coronary atherosclerosis. Using race-stratified cohorts of 538 African-Americans (AA) and 1562 European-Americans (EA) from a cardiac catheterization cohort (CATHGEN), we identify gene-by-traffic exposure interactions associated with the number of significantly diseased coronary vessels as a measure of chronic atherosclerosis. We found five suggestive (P<1x10-5) interactions in the AA GWIS, of which two (rs1856746 and rs2791713) replicated in the EA cohort (P < 0.05). Both SNPs are in the PIGR-FCAMR locus and are eQTLs in lymphocytes. The protein products of both PIGR and FCAMR are implicated in inflammatory processes. In the EA GWIS, there were three suggestive interactions; none of these replicated in the AA GWIS. All three were intergenic; the most significant interaction was in a regulatory region associated with SAMSN1, a gene previously associated with atherosclerosis and B cell activation. In conclusion, we have uncovered several novel genes associated with coronary atherosclerosis in individuals chronically exposed to increased ambient concentrations of traffic air pollution. These genes point towards inflammatory pathways that may modify the effects of air pollution on cardiovascular disease risk. PMID:28355232

  2. Glucokinase Regulatory Protein Genetic Variant Interacts with Omega-3 PUFA to Influence Insulin Resistance and Inflammation in Metabolic Syndrome

    PubMed Central

    Garcia-Rios, Antonio; Mc Monagle, Jolene; Gulseth, Hanne L.; Ordovas, Jose M.; Shaw, Danielle I.; Karlström, Brita; Kiec-Wilk, Beata; Blaak, Ellen E.; Helal, Olfa; Malczewska-Malec, Małgorzata; Defoort, Catherine; Risérus, Ulf; Saris, Wim H. M.; Lovegrove, Julie A.; Drevon, Christian A.; Roche, Helen M.; Lopez-Miranda, Jose

    2011-01-01

    Glucokinase Regulatory Protein (GCKR) plays a central role regulating both hepatic triglyceride and glucose metabolism. Fatty acids are key metabolic regulators, which interact with genetic factors and influence glucose metabolism and other metabolic traits. Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been of considerable interest, due to their potential to reduce metabolic syndrome (MetS) risk. Objective To examine whether genetic variability at the GCKR gene locus was associated with the degree of insulin resistance, plasma concentrations of C-reactive protein (CRP) and n-3 PUFA in MetS subjects. Design Homeostasis model assessment of insulin resistance (HOMA-IR), HOMA-B, plasma concentrations of C-peptide, CRP, fatty acid composition and the GCKR rs1260326-P446L polymorphism, were determined in a cross-sectional analysis of 379 subjects with MetS participating in the LIPGENE dietary cohort. Results Among subjects with n-3 PUFA levels below the population median, carriers of the common C/C genotype had higher plasma concentrations of fasting insulin (P = 0.019), C-peptide (P = 0.004), HOMA-IR (P = 0.008) and CRP (P = 0.032) as compared with subjects carrying the minor T-allele (Leu446). In contrast, homozygous C/C carriers with n-3 PUFA levels above the median showed lower plasma concentrations of fasting insulin, peptide C, HOMA-IR and CRP, as compared with individuals with the T-allele. Conclusions We have demonstrated a significant interaction between the GCKR rs1260326-P446L polymorphism and plasma n-3 PUFA levels modulating insulin resistance and inflammatory markers in MetS subjects. Further studies are needed to confirm this gene-diet interaction in the general population and whether targeted dietary recommendations can prevent MetS in genetically susceptible individuals. Trial Registration ClinicalTrials.gov NCT00429195 PMID:21674002

  3. Interactions between the Bumblebee Bombus pascuorum and Red Clover (Trifolium pratense) Are Mediated by Plant Genetic Background

    PubMed Central

    Sands, Richard J.; Rowntree, Jennifer K.

    2016-01-01

    Wildflower mixes are often planted around field margins to provide forage for pollinators. Although seed for these mixtures is often wild-sourced, for species where agricultural cultivars are available, for example red clover (Trifolium pratense), cultivars can also be included. Previous evidence suggests that plant genetic background can have a strong influence on plant-arthropod interactions and therefore the provenance and genetic background of the plants included in wildflower mixes could impact plant-pollinator interactions. We tested the performance of five individual T. pratense cultivars against two commercially available wild-sourced T. pratense populations in terms of their ability to attract potential pollinator species (focusing on bumblebees) and their floral traits using greenhouse and garden experiments. The main bumblebee observed interacting with T. pratense was Bombus pascuorum and we found no difference in the absolute number of B. pascuorum visiting the cultivars or wild populations. However, we found variation among cultivars and between wild populations in their ability to attract bumblebees, which seems to be related to their relative investment in different floral traits. There was a positive relationship between biomass and number of inflorescences produced by the wild populations of T. pratense, which was not apparent for the cultivars. This suggests that artificial selection on the cultivars has changed the G-matrix of correlated traits. We show that agricultural cultivars of T. pratense can be as effective as wild populations at attracting pollinators such as bumblebees, but that the genetic background of both cultivars and wild populations can have a significant impact on the attractiveness of the plant to pollinators. We also show divergence in the correlated traits of T. pratense cultivars and wild populations that could lead to outbreeding depression if the plants interbreed. PMID:27552193

  4. University of California San Francisco (UCSF-1): Chemical-Genetic Interaction Mapping Strategy | Office of Cancer Genomics

    Cancer.gov

    The CTD2 Center at University of California San Francisco (UCSF-1) developed a chemical-genetic interaction mapping strategy to uncover the impact of cancer gene expression on responses to a panel of emerging therapeutics. To study the impact of aberrant gene activity in isolation, they developed an isogenic model of triple-negative breast cancer (TNBC) using the hormone receptor negative MCF10A non-tumorigenic cell line derived from healthy breast tissue which is diploid and largely devoid of somatic alterations.

  5. Systems biology and systems genetics - novel innovative approaches to study host-pathogen interactions during influenza infection.

    PubMed

    Kollmus, Heike; Wilk, Esther; Schughart, Klaus

    2014-06-01

    Influenza represents a serious threat to public health with thousands of deaths each year. A deeper understanding of the host-pathogen interactions is urgently needed to evaluate individual and population risks for severe influenza disease and to identify new therapeutic targets. Here, we review recent progress in large scale omics technologies, systems genetics as well as new mathematical and computational developments that are now in place to apply a systems biology approach for a comprehensive description of the multidimensional host response to influenza infection. In addition, we describe how results from experimental animal models can be translated to humans, and we discuss some of the future challenges ahead.

  6. Genetics of host-pathogen interactions in the wheat-Stagonospora nodorum pathosystem

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Stagonospora nodorum causes the disease Stagonospora nodorum blotch (SNB) in wheat. S. nodorum produces numerous host-selective toxins (HSTs), all of which interact with dominant host sensitivity genes to cause disease. These host-toxin interactions are mirror images of classical gene-for-gene inter...

  7. Physical and genetic interaction between ammonium transporters and the signaling protein Rho1 in the plant pathogen Ustilago maydis.

    PubMed

    Paul, Jinny A; Barati, Michelle T; Cooper, Michael; Perlin, Michael H

    2014-10-01

    Dimorphic transitions between yeast-like and filamentous forms occur in many fungi and are often associated with pathogenesis. One of the cues for such a dimorphic switch is the availability of nutrients. Under conditions of nitrogen limitation, fungal cells (such as those of Saccharomyces cerevisiae and Ustilago maydis) switch from budding to pseudohyphal or filamentous growth. Ammonium transporters (AMTs) are responsible for uptake and, in some cases, for sensing the availability of ammonium, a preferred nitrogen source. Homodimer and/or heterodimer formation may be required for regulating the activity of the AMTs. To investigate the potential interactions of Ump1 and Ump2, the AMTs of the maize pathogen U. maydis, we first used the split-ubiquitin system, followed by a modified split-YFP (yellow fluorescent protein) system, to validate the interactions in vivo. This analysis showed the formation of homo- and hetero-oligomers by Ump1 and Ump2. We also demonstrated the interaction of the high-affinity ammonium transporter, Ump2, with the Rho1 GTPase, a central protein in signaling, with roles in controlling polarized growth. This is the first demonstration in eukaryotes of the physical interaction in vivo of an ammonium transporter with the signaling protein Rho1. Moreover, the Ump proteins interact with Rho1 during the growth of cells in low ammonium concentrations, a condition required for the expression of the Umps. Based on these results and the genetic evidence for the interaction of Ump2 with both Rho1 and Rac1, another small GTPase, we propose a model for the role of these interactions in controlling filamentation, a fundamental aspect of development and pathogenesis in U. maydis.

  8. Complex interactions between dietary and genetic factors impact lycopene metabolism and distribution

    PubMed Central

    Moran, Nancy E.; Erdman, John W.; Clinton, Steven K.

    2013-01-01

    Intake of lycopene, a red, tetraterpene carotenoid found in tomatoes is epidemiologically associated with a decreased risk of chronic disease processes, and lycopene has demonstrated bioactivity in numerous in vitro and animal models. However, our understanding of absorption, tissue distribution, and biological impact in humans remains very limited. Lycopene absorption is strongly impacted by dietary composition, especially the amount of fat. Concentrations of circulating lycopene in lipoproteins may be further influenced by a number of variations in genes related to lipid absorption and metabolism. Lycopene is not uniformly distributed among tissues, with adipose, liver, and blood being the major body pools, while the testes, adrenals, and liver have the greatest concentrations compared to other organs. Tissue concentrations of lycopene are likely dictated by expression of and genetic variation in lipoprotein receptors, cholesterol transporters, and carotenoid metabolizing enzymes, thus impacting lycopene accumulation at target sites of action. The novel application of genetic evaluation in concert with lycopene tracers will allow determination of which genes and polymorphisms define individual lycopene metabolic phenotypes, response to dietary variables, and ultimately determine biological and clinical outcomes. A better understanding of the relationship between diet, genetics, and lycopene distribution will provide necessary information to interpret epidemiological findings more accurately and to design effective, personalized clinical nutritional interventions addressing hypotheses regarding health outcomes. PMID:23845854

  9. Interaction of genetic predisposition and environmental factors in the pathogenesis of idiopathic orthostatic intolerance

    NASA Technical Reports Server (NTRS)

    Jordan, J.; Shannon, J. R.; Jacob, G.; Pohar, B.; Robertson, D.

    1999-01-01

    BACKGROUND: The hemodynamic and autonomic abnormalities in idiopathic orthostatic intolerance (IOI) have been studied extensively. However, the mechanisms underlying these abnormalities are not understood. If genetic predisposition were important in the pathogenesis of IOI, monozygotic twins of patients with IOI should have similar hemodynamic and autonomic abnormalities. METHODS: We studied two patients with IOI and their identical twins. Both siblings in the first twin pair had orthostatic symptoms, significant orthostatic tachycardia, increased plasma norepinephrine levels with standing, and a greater than normal decrease in systolic blood pressure with trimethaphan infusion. RESULTS: Both siblings had a normal response of plasma renin activity to upright posture. In the second twin pair, only one sibling had symptoms of orthostatic intolerance, an orthostatic tachycardia, and raised plasma catecholamines with standing. The affected sibling had inappropriately low plasma renin activity with standing and was 8-fold more sensitive to the pressor effect of phenylephrine than the unaffected sibling. CONCLUSIONS: We conclude that in some patients, IOI seems to be strongly influenced by genetic factors. In others, however, IOI may be mainly caused by nongenetic factors. These findings suggest that IOI is heterogenous, and that both genetic and environmental factors contribute individually or collectively to create the IOI phenotype.

  10. Genetics of incipient speciation in Drosophila mojavensis. I. Male courtship song, mating success, and genotype x environment interactions.

    PubMed

    Etges, William J; de Oliveira, Cássia Cardoso; Gragg, Erin; Ortíz-Barrientos, Daniel; Noor, Mohamed A F; Ritchie, Michael G

    2007-05-01

    Few studies have examined genotype by environment (GxE) effects on premating reproductive isolation and associated behaviors, even though such effects may be common when speciation is driven by adaptation to different environments. In this study, mating success and courtship song differences among diverging populations of Drosophila mojavensis were investigated in a two-environment quantitative trait locus (QTL) analysis. Baja California and mainland Mexico populations of D. mojavensis feed and breed on different host cacti, so these host plants were used to culture F2 males to examine host-specific QTL effects and GxE interactions influencing mating success and courtship songs. Linear selection gradient analysis showed that mainland females mated with males that produced songs with significantly shorter L(long)-IPIs, burst durations, and interburst intervals. Twenty-one microsatellite loci distributed across all five major chromosomes were used to localize effects of mating success, time to copulation, and courtship song components. Male courtship success was influenced by a single detected QTL, the main effect of cactus, and four GxE interactions, whereas time to copulation was influenced by three different QTLs on the fourth chromosome. Multiple-locus restricted maximum likelihood (REML) analysis of courtship song revealed consistent effects linked with the same fourth chromosome markers that influenced time to copulation, a number of GxE interactions, and few possible cases of epistasis. GxE interactions for mate choice and song can maintain genetic variation in populations, but alter outcomes of sexual selection and isolation, so signal evolution and reproductive isolation may be slowed in diverging populations. Understanding the genetics of incipient speciation in D. mojavensis clearly depends on cactus-specific expression of traits associated with courtship behavior and sexual isolation.

  11. Uncovering the genetic architecture of Colletotrichum lindemuthianum resistance through QTL mapping and epistatic interaction analysis in common bean

    PubMed Central

    González, Ana M.; Yuste-Lisbona, Fernando J.; Rodiño, A. Paula; De Ron, Antonio M.; Capel, Carmen; García-Alcázar, Manuel; Lozano, Rafael; Santalla, Marta

    2015-01-01

    Colletotrichum lindemuthianum is a hemibiotrophic fungal pathogen that causes anthracnose disease in common bean. Despite the genetics of anthracnose resistance has been studied for a long time, few quantitative trait loci (QTLs) studies have been conducted on this species. The present work examines the genetic basis of quantitative resistance to races 23 and 1545 of C. lindemuthianum in different organs (stem, leaf and petiole). A population of 185 recombinant inbred lines (RIL) derived from the cross PMB0225 × PHA1037 was evaluated for anthracnose resistance under natural and artificial photoperiod growth conditions. Using multi-environment QTL mapping approach, 10 and 16 main effect QTLs were identified for resistance to anthracnose races 23 and 1545, respectively. The homologous genomic regions corresponding to 17 of the 26 main effect QTLs detected were positive for the presence of resistance-associated gene cluster encoding nucleotide-binding and leucine-rich repeat (NL) proteins. Among them, it is worth noting that the main effect QTLs detected on linkage group 05 for resistance to race 1545 in stem, petiole and leaf were located within a 1.2 Mb region. The NL gene Phvul.005G117900 is located in this region, which can be considered an important candidate gene for the non-organ-specific QTL identified here. Furthermore, a total of 39 epistatic QTL (E-QTLs) (21 for resistance to race 23 and 18 for resistance to race 1545) involved in 20 epistatic interactions (eleven and nine interactions for resistance to races 23 and 1545, respectively) were identified. None of the main and epistatic QTLs detected displayed significant environment interaction effects. The present research provides essential information not only for the better understanding of the plant-pathogen interaction but also for the application of genomic assisted breeding for anthracnose resistance improvement in common bean through application of marker-assisted selection (MAS). PMID:25852706

  12. Uncovering the genetic architecture of Colletotrichum lindemuthianum resistance through QTL mapping and epistatic interaction analysis in common bean.

    PubMed

    González, Ana M; Yuste-Lisbona, Fernando J; Rodiño, A Paula; De Ron, Antonio M; Capel, Carmen; García-Alcázar, Manuel; Lozano, Rafael; Santalla, Marta

    2015-01-01

    Colletotrichum lindemuthianum is a hemibiotrophic fungal pathogen that causes anthracnose disease in common bean. Despite the genetics of anthracnose resistance has been studied for a long time, few quantitative trait loci (QTLs) studies have been conducted on this species. The present work examines the genetic basis of quantitative resistance to races 23 and 1545 of C. lindemuthianum in different organs (stem, leaf and petiole). A population of 185 recombinant inbred lines (RIL) derived from the cross PMB0225 × PHA1037 was evaluated for anthracnose resistance under natural and artificial photoperiod growth conditions. Using multi-environment QTL mapping approach, 10 and 16 main effect QTLs were identified for resistance to anthracnose races 23 and 1545, respectively. The homologous genomic regions corresponding to 17 of the 26 main effect QTLs detected were positive for the presence of resistance-associated gene cluster encoding nucleotide-binding and leucine-rich repeat (NL) proteins. Among them, it is worth noting that the main effect QTLs detected on linkage group 05 for resistance to race 1545 in stem, petiole and leaf were located within a 1.2 Mb region. The NL gene Phvul.005G117900 is located in this region, which can be considered an important candidate gene for the non-organ-specific QTL identified here. Furthermore, a total of 39 epistatic QTL (E-QTLs) (21 for resistance to race 23 and 18 for resistance to race 1545) involved in 20 epistatic interactions (eleven and nine interactions for resistance to races 23 and 1545, respectively) were identified. None of the main and epistatic QTLs detected displayed significant environment interaction effects. The present research provides essential information not only for the better understanding of the plant-pathogen interaction but also for the application of genomic assisted breeding for anthracnose resistance improvement in common bean through application of marker-assisted selection (MAS).

  13. Analysis of genetic association and epistasis interactions between circadian clock genes and symptom dimensions of bipolar affective disorder.

    PubMed

    Maciukiewicz, Malgorzata; Dmitrzak-Weglarz, Monika; Pawlak, Joanna; Leszczynska-Rodziewicz, Anna; Zaremba, Dorota; Skibinska, Maria; Hauser, Joanna

    2014-07-01

    Bipolar affective disorder (BD) is a severe psychiatric disorder characterized by periodic changes in mood from depression to mania. Disruptions of biological rhythms increase risk of mood disorders. Because clinical representation of disease is heterogeneous, homogenous sets of patients are suggested to use in the association analyses. In our study, we aimed to apply previously computed structure of bipolar disorder symptom dimension for analyses of genetic association. We based quantitative trait on: main depression, sleep disturbances, appetite disturbances, excitement and psychotic dimensions consisted of OPCRIT checklist items. We genotyped 42 polymorphisms from circadian clock genes: PER3, ARNTL, CLOCK and TIMELSSS from 511 patients BD (n = 292 women and n = 219 men). As quantitative trait we used clinical dimensions, described above. Genetic associations between alleles and quantitative trait were performed using applied regression models applied in PLINK. In addition, we used the Kruskal-Wallis test to look for associations between genotypes and quantitative trait. During second stage of our analyses, we used multidimensional scaling (multifactor dimensionality reduction) for quantitative trait to compute pairwise epistatic interactions between circadian gene variants. We found association between ARNTL variant rs11022778 main depression (p = 0.00047) and appetite disturbances (p = 0.004). In epistatic interaction analyses, we observed two locus interactions between sleep disturbances (p = 0.007; rs11824092 of ARNTL and rs11932595 of CLOCK) as well as interactions of subdimension in main depression and ARNTL variants (p = 0.0011; rs3789327, rs10766075) and appetite disturbances in depression and ARNTL polymorphism (p = 7 × 10(-4); rs11022778, rs156243).

  14. Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies

    PubMed Central

    2011-01-01

    Background Several methods have been presented for the analysis of complex interactions between genetic polymorphisms and/or environmental factors. Despite the available methods, there is still a need for alternative methods, because no single method will perform well in all scenarios. The aim of this work was to evaluate the performance of three selected rule based classifier algorithms, RIPPER, RIDOR and PART, for the analysis of genetic association studies. Methods Overall, 42 datasets were simulated with three different case-control models, a varying number of subjects (300, 600), SNPs (500, 1500, 3000) and noise (5%, 10%, 20%). The algorithms were applied to each of the datasets with a set of algorithm-specific settings. Results were further investigated with respect to a) the Model, b) the Rules, and c) the Attribute level. Data analysis was performed using WEKA, SAS and PERL. Results The RIPPER algorithm discovered the true case-control model at least once in >33% of the datasets. The RIDOR and PART algorithm performed poorly for model detection. The RIPPER, RIDOR and PART algorithm discovered the true case-control rules in more than 83%, 83% and 44% of the datasets, respectively. All three algorithms were able to detect the attributes utilized in the respective case-control models in most datasets. Conclusions The current analyses substantiate the utility of rule based classifiers such as RIPPER, RIDOR and PART for the detection of gene-gene/gene-environment interactions in genetic association studies. These classifiers could provide a valuable new method, complementing existing approaches, in the analysis of genetic association studies. The methods provide an advantage in being able to handle both categorical and continuous variable types. Further, because the outputs of the analyses are easy to interpret, the rule based classifier approach could quickly generate testable hypotheses for additional evaluation. Since the algorithms are computationally

  15. Genetic variation in CD38 and breastfeeding experience interact to impact infants’ attention to social eye cues

    PubMed Central

    Krol, Kathleen M.; Monakhov, Mikhail; Lai, Poh San; Ebstein, Richard P.; Grossmann, Tobias

    2015-01-01

    Attending to emotional information conveyed by the eyes is an important social skill in humans. The current study examined this skill in early development by measuring attention to eyes while viewing emotional faces in 7-mo-old infants. In particular, we investigated individual differences in infant attention to eyes in the context of genetic variation (CD38 rs3796863 polymorphism) and experiential variation (exclusive breastfeeding duration) related to the oxytocin system. Our results revealed that, whereas infants at this age show a robust fear bias (increased attention to fearful eyes), their attention to angry and happy eyes varies as a function of exclusive breastfeeding experience and genetic variation in CD38. Specifically, extended exclusive breastfeeding duration selectively enhanced looking preference to happy eyes and decreased looking to angry eyes. Importantly, however, this interaction was impacted by CD38 variation, such that only the looking preferences of infants homozygous for the C allele of rs3796863 were affected by breastfeeding experience. This genotype has been associated with reduced release of oxytocin and higher rates of autism. In contrast, infants with the CA/AA genotype showed similar looking preferences regardless of breastfeeding exposure. Thus, differences in the sensitivity to emotional eyes may be linked to an interaction between the endogenous (CD38) and exogenous (breastfeeding) availability of oxytocin. These findings underline the importance of maternal care and the oxytocin system in contributing to the early development of responding to social eye cues. PMID:26371313

  16. Functional Genetic Variation of the Cannabinoid Receptor 1 and Cannabis Use Interact on Prefrontal Connectivity and Related Working Memory Behavior

    PubMed Central

    Colizzi, Marco; Fazio, Leonardo; Ferranti, Laura; Porcelli, Annamaria; Masellis, Rita; Marvulli, Daniela; Bonvino, Aurora; Ursini, Gianluca; Blasi, Giuseppe; Bertolino, Alessandro

    2015-01-01

    Cannabinoid signaling is involved in different brain functions and it is mediated by the cannabinoid receptor 1 (CNR1), which is encoded by the CNR1 gene. Previous evidence suggests an association between cognition and cannabis use. The logical interaction between genetically determined cannabinoid signaling and cannabis use has not been determined. Therefore, we investigated whether CNR1 variation predicts CNR1 prefrontal mRNA expression in postmortem prefrontal human tissue. Then, we studied whether functional variation in CNR1 and cannabis exposure interact in modulating prefrontal function and related behavior during working memory processing. Thus, 208 healthy subjects (113 males) were genotyped for the relevant functional SNP and were evaluated for cannabis use by the Cannabis Experience Questionnaire. All individuals performed the 2-back working memory task during functional magnetic resonance imaging. CNR1 rs1406977 was associated with prefrontal mRNA and individuals carrying a G allele had reduced CNR1 prefrontal mRNA levels compared with AA subjects. Moreover, functional connectivity MRI demonstrated that G carriers who were also cannabis users had greater functional connectivity in the left ventrolateral prefrontal cortex and reduced working memory behavioral accuracy during the 2-back task compared with the other groups. Overall, our results indicate that the deleterious effects of cannabis use are more evident on a specific genetic background related to its receptor expression. PMID:25139064

  17. The leucine-rich repeat domain can determine effective interaction between RPS2 and other host factors in arabidopsis RPS2-mediated disease resistance.

    PubMed Central

    Banerjee, D; Zhang, X; Bent, A F

    2001-01-01

    Like many other plant disease resistance genes, Arabidopsis thaliana RPS2 encodes a product with nucleotide-binding site (NBS) and leucine-rich repeat (LRR) domains. This study explored the hypothesized interaction of RPS2 with other host factors that may be required for perception of Pseudomonas syringae pathogens that express avrRpt2 and/or for the subsequent induction of plant defense responses. Crosses between Arabidopsis ecotypes Col-0 (resistant) and Po-1 (susceptible) revealed segregation of more than one gene that controls resistance to P. syringae that express avrRpt2. Many F(2) and F(3) progeny exhibited intermediate resistance phenotypes. In addition to RPS2, at least one additional genetic interval associated with this defense response was identified and mapped using quantitative genetic methods. Further genetic and molecular genetic complementation experiments with cloned RPS2 alleles revealed that the Po-1 allele of RPS2 can function in a Col-0 genetic background, but not in a Po-1 background. The other resistance-determining genes of Po-1 can function, however, as they successfully conferred resistance in combination with the Col-0 allele of RPS2. Domain-swap experiments revealed that in RPS2, a polymorphism at six amino acids in the LRR region is responsible for this allele-specific ability to function with other host factors. PMID:11333251

  18. Interactions of HIV and drugs of abuse: the importance of glia, neural progenitors, and host genetic factors

    PubMed Central

    Hauser, Kurt F.; Knapp, Pamela E.

    2015-01-01

    Considerable insight has been gained into the comorbid, interactive effects of HIV and drug abuse in the brain using experimental models. This review, which considers opiates, methamphetamine, and cocaine, emphasizes the importance of host genetics and glial plasticity in driving the pathogenic neuron remodeling underlying neuro-acquired immunodeficiency syndrome (neuroAIDS) and drug abuse comorbidity. Clinical findings are less concordant than experimental work, and the response of individuals to HIV and to drug abuse can vary tremendously. Host-genetic variability is important in determining viral tropism, neuropathogenesis, drug responses, and addictive behavior. However, genetic differences alone cannot account for individual variability in the brain “connectome”. Environment and experience are critical determinants in the evolution of synaptic circuitry throughout life. Neurons and glia both exercise control over determinants of synaptic plasticity that are disrupted by HIV and drug abuse. Perivascular macrophages, microglia, and to a lesser extent astroglia can harbor the infection. Uninfected bystanders, especially astroglia, propagate and amplify inflammatory signals. Drug abuse by itself derails neuronal and glial function, and the outcome of chronic exposure is maladaptive plasticity. The negative consequences of coexposure to HIV and drug abuse are determined by numerous factors including genetics, sex, age, and multidrug exposure. Glia and some neurons are generated throughout life and their progenitors appear to be targets of HIV and opiates/psychostimulants. The chronic nature of HIV and drug abuse appears to result in sustained alterations in the maturation and fate of neural progenitors, which may affect the balance of glial populations within multiple brain regions. PMID:25175867

  19. Multilevel complex interactions between genetic, epigenetic and environmental factors in the aetiology of anomalies of dental development

    PubMed Central

    Brook, A.H.

    2009-01-01

    Dental anomalies are caused by complex interactions between genetic, epigenetic and environmental factors during the long process of dental development. This process is multifactorial, multilevel, multidimensional and progressive over time. In this paper the evidence from animal models and from human studies is integrated to outline the current position and to construct and evaluate models, as a basis for future work. Dental development is multilevel entailing molecular and cellular interactions which have macroscopic outcomes. It is multidimensional, requiring developments in the three spatial dimensions and the fourth dimension of time. It is progressive, occurring over a long period, yet with critical stages. The series of interactions involving multiple genetic signalling pathways are also influenced by extracellular factors. Interactions, gradients and spatial field effects of multiple genes, epigenetic and environmental factors all influence the development of individual teeth, groups of teeth and the dentition as a whole. The macroscopic, clinically visible result in humans is a complex unit of four different tooth types formed in morphogenetic fields, in which teeth within each field form directionally and erupt at different times, reflecting the spatio-temporal control of development. Even when a specific mutation of a single gene or one major environmental insult has been identified in a patient with a dental anomaly, detailed investigation of the phenotype often reveals variation between affected individuals in the same family, between dentitions in the same individual and even between different teeth in the same dentition. The same, or closely similar phenotypes, whether anomalies of tooth number or structure, may arise from different aetiologies: not only mutations in different genes but also environmental factors may result in similar phenotypes. Related to the action of a number of the developmental regulatory genes active in odontogenesis, in

  20. The genetic consequences of ablating helicase activity and the Top3 interaction domain of Sgs1

    PubMed Central

    Weinstein, Justin; Rothstein, Rodney

    2008-01-01

    Sgs1, the RecQ helicase homolog, and Top3, the type-IA topoisomerase, physically interact and are required for genomic stability in budding yeast. Similarly, topoisomerase III genes physically pair with homologs of SGS1 in humans that are involved in the cancer predisposition and premature aging diseases Bloom, Werner, and Rothmund-Thompson syndromes. In the absence of Top1 activity, sgs1 mutants are severely growth impaired. Here, we investigate the role of Sgs1 helicase activity and its N-terminal Top3 interaction domain by using an allele replacement technique to integrate mutant alleles at the native SGS1 genomic locus. We compare the phenotype of helicase-defective (sgs1-hd) and N-terminal deletion (sgs1-NΔ) strains to wild-type and sgs1 null strains. Like the sgs1 null, sgs1-hd mutations suppress top3 slow growth, cause a growth defect in the absence of Srs2 helicase, and impair meiosis. However, for recombination and the synthetic interaction with top1Δ mutations, loss of helicase activity exhibits a less severe phenotype than the null. Interestingly, deletion of the Top3 interaction domain of Sgs1 causes a top3-like phenotype, and furthermore, this effect is dependent on helicase activity. These results suggest that the protein-protein interaction between these two DNA-metabolism enzymes, even in the absence of helicase activity, is important for their function in catalyzing specific changes in DNA topology. PMID:18272435

  1. Genetic and functional characterization of putative Ras/Raf interaction inhibitors in C. elegans and mammalian cells

    PubMed Central

    2010-01-01

    Background Activation of the mammalian Ras-Raf-MEK-ERK MAPK signaling cascade promotes cellular proliferation, and activating Ras mutations are implicated in cancer onset and maintenance. This pathway, a therapeutic target of interest, is highly conserved and required for vulval development in C. elegans. Gain-of-function mutations in the Ras ortholog lead to constitutive pathway signaling and a multivulva (Muv) phenotype. MCP compounds were identified in a yeast two-hybrid screen for their ability to disrupt Ras-Raf interactions. However, this had not been confirmed in another system, and conflicting results were reported regarding selective MCP-mediated blockade of Ras- and Raf-mediated biological activities in mammalian cells. Here we used the easily-scored Muv phenotype as an in vivo readout to characterize the selectivity of MCP110 and its analogs, and performed biochemical studies in mammalian cells to determine whether MCP treatment results in impaired interaction between Ras and its effector Raf. Results Our genetic analyses showed significant dose-dependent MCP-mediated reduction of Muv in C. elegans strains with activating mutations in orthologs of Ras (LET-60) or Raf (LIN-45), but not MAP kinases or an Ets-like transcription factor. Thus, these inhibitors selectively impair pathway function downstream of Ras and upstream of or at the level of Raf, consistent with disruption of the Ras/Raf interaction. Our biochemical analyses of MCP110-mediated disruption of Ras-Raf interactions in mammalian cells showed that MCP110 dose-dependently reduced Raf-RBD pulldown of Ras, displaced a fluorescently-tagged Raf-RBD probe from plasma membrane locations of active Ras to the cytosol and other compartments, and decreased active, phosphorylated ERK1/2. Conclusions We have effectively utilized C. elegans as an in vivo genetic system to evaluate the activity and selectivity of inhibitors intended to target the Ras-Raf-MAPK pathway. We demonstrated the ability of MCP110

  2. Genetic background of host-pathogen interaction between Cucumis sativus L. and Pseudomonas syringae pv. lachrymans.

    PubMed

    Olczak-Woltman, H; Schollenberger, M; Niemirowicz-Szczytt, K

    2009-01-01

    The interplay of plant resistance mechanisms and bacterial pathogenicity is very complex. This applies also to the interaction that takes place between the pathogen Pseudomonas syringae pv. lachrymans (Smith et Bryan) and the cucumber (Cucumis sativus L.) as its host plant. Research on P. syringae pv. lachrymans has led to the discovery of specific factors produced during pathogenesis, i.e. toxins or enzymes. Similarly, studies on cucumber have identified the specific types of plant resistance expressed, namely Systemic Acquired Resistance (SAR) or Induced Systemic Resistance (ISR). This paper presents a summary of the current state of knowledge about this particular host-pathogen interaction, with reference to general information about interactions of P. syringae pathovars with host plants.

  3. Characterization and Genetic Analyses of New Genes Coding for NOD2 Interacting Proteins

    PubMed Central

    Lecine, Patrick; Mahfouz, Batoul; Hermant, Aurelie; Nicoletti, Cendrine; Parnis, Stephane; Perroy, Julie; Borg, Jean-Paul; Pascoe, Leigh; Hugot, Jean-Pierre; Ollendorff, Vincent

    2016-01-01

    NOD2 contributes to the innate immune response and to the homeostasis of the intestinal mucosa. In response to its bacterial ligand, NOD2 interacts with RICK and activates the NF-κB and MAPK pathways, inducing gene transcription and synthesis of proteins required to initiate a balanced immune response. Mutations in NOD2 have been associated with an increased risk of Crohn’s Disease (CD), a disabling inflammatory bowel disease (IBD). Because NOD2 signaling plays a key role in CD, it is important to further characterize the network of protein interacting with NOD2. Using yeast two hybrid (Y2H) screens, we identified new NOD2 interacting proteins (NIP). The primary interaction was confirmed by coimmunoprecipitation and/or bioluminescence resonance energy transfer (BRET) experiments for 11 of these proteins (ANKHD1, CHMP5, SDCCAG3, TRIM41, LDOC1, PPP1R12C, DOCK7, VIM, KRT15, PPP2R3B, and C10Orf67). These proteins are involved in diverse functions, including endosomal sorting complexes required for transport (ESCRT), cytoskeletal architecture and signaling regulation. Additionally, we show that the interaction of 8 NIPs is compromised with the 3 main CD associated NOD2 mutants (R702W, G908R and 1007fs). Furthermore, to determine whether these NOD2 protein partners could be encoded by IBD susceptibility genes, a transmission disequilibrium test (TDT) was performed on 101 single nucleotide polymorphisms (SNPs) and the main corresponding haplotypes in genes coding for 15 NIPs using a set of 343 IBD families with 556 patients. Overall this work did not increase the number of IBD susceptibility genes but extends the NOD2 protein interaction network and suggests that NOD2 interactome and signaling depend upon the NOD2 mutation profile in CD. PMID:27812135

  4. Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique

    PubMed Central

    2012-01-01

    Background Understanding gene interactions is a fundamental question in systems biology. Currently, modeling of gene regulations using the Bayesian Network (BN) formalism assumes that genes interact either instantaneously or with a certain amount of time delay. However in reality, biological regulations, both instantaneous and time-delayed, occur simultaneously. A framework that can detect and model both these two types of interactions simultaneously would represent gene regulatory networks more accurately. Results In this paper, we introduce a framework based on the Bayesian Network (BN) formalism that can represent both instantaneous and time-delayed interactions between genes simultaneously. A novel scoring metric having firm mathematical underpinnings is also proposed that, unlike other recent methods, can score both interactions concurrently and takes into account the reality that multiple regulators can regulate a gene jointly, rather than in an isolated pair-wise manner. Further, a gene regulatory network (GRN) inference method employing an evolutionary search that makes use of the framework and the scoring metric is also presented. Conclusion By taking into consideration the biological fact that both instantaneous and time-delayed regulations can occur among genes, our approach models gene interactions with greater accuracy. The proposed framework is efficient and can be used to infer gene networks having multiple orders of instantaneous and time-delayed regulations simultaneously. Experiments are carried out using three different synthetic networks (with three different mechanisms for generating synthetic data) as well as real life networks of Saccharomyces cerevisiae, E. coli and cyanobacteria gene expression data. The results show the effectiveness of our approach. PMID:22691450

  5. Evolved genetic and phenotypic differences due to mitochondrial-nuclear interactions

    PubMed Central

    Baris, Tara Z.; Wagner, Dominique N.; Dayan, David I.; Du, Xiao; Blier, Pierre U.; Pichaud, Nicolas; Oleksiak, Marjorie F.; Crawford, Douglas L.

    2017-01-01

    The oxidative phosphorylation (OxPhos) pathway is responsible for most aerobic ATP production and is the only pathway with both nuclear and mitochondrial encoded proteins. The importance of the interactions between these two genomes has recently received more attention because of their potential evolutionary effects and how they may affect human health and disease. In many different organisms, healthy nuclear and mitochondrial genome hybrids between species or among distant populations within a species affect fitness and OxPhos functions. However, what is less understood is whether these interactions impact individuals within a single natural population. The significance of this impact depends on the strength of selection for mito-nuclear interactions. We examined whether mito-nuclear interactions alter allele frequencies for ~11,000 nuclear SNPs within a single, natural Fundulus heteroclitus population containing two divergent mitochondrial haplotypes (mt-haplotypes). Between the two mt-haplotypes, there are significant nuclear allele frequency differences for 349 SNPs with a p-value of 1% (236 with 10% FDR). Unlike the rest of the genome, these 349 outlier SNPs form two groups associated with each mt-haplotype, with a minority of individuals having mixed ancestry. We use this mixed ancestry in combination with mt-haplotype as a polygenic factor to explain a significant fraction of the individual OxPhos variation. These data suggest that mito-nuclear interactions affect cardiac OxPhos function. The 349 outlier SNPs occur in genes involved in regulating metabolic processes but are not directly associated with the 79 nuclear OxPhos proteins. Therefore, we postulate that the evolution of mito-nuclear interactions affects OxPhos function by acting upstream of OxPhos. PMID:28362806

  6. Genetic factors in nonsmokers with age-related macular degeneration revealed through genome-wide gene-environment interaction analysis.

    PubMed

    Naj, Adam C; Scott, William K; Courtenay, Monique D; Cade, William H; Schwartz, Stephen G; Kovach, Jaclyn L; Agarwal, Anita; Wang, Gaofeng; Haines, Jonathan L; Pericak-Vance, Margaret A

    2013-05-01

    Relatively little is known about the interaction between genes and environment in the complex etiology of age-related macular degeneration (AMD). This study aimed to identify novel factors associated with AMD by analyzing gene-smoking interactions in a genome-wide association study of 1207 AMD cases and 686 controls of Caucasian background with genotype data on 668,238 single nucleotide polymorphisms (SNPs) after quality control. Participants' history of smoking at least 100 cigarettes lifetime was determined by a self-administered questionnaire. SNP associations modeled the effect of the minor allele additively on AMD using logistic regression, with adjustment for age, sex, and ever/never smoking. Joint effects of SNPs and smoking were examined comparing a null model containing only age, sex, and smoking against an extended model including genotypic and interaction terms. Genome-wide significant main effects were detected at three known AMD loci: CFH (P = 7.51×10(-30) ), ARMS2 (P = 1.94×10(-23) ), and RDBP/CFB/C2 (P = 4.37×10(-10) ), while joint effects analysis revealed three genomic regions with P < 10(-5) . Analyses stratified by smoking found genetic associations largely restricted to nonsmokers, with one notable exception: the chromosome 18q22.1 intergenic SNP rs17073641 (between SERPINB8 and CDH7), more strongly associated in nonsmokers (OR = 0.57, P = 2.73 × 10(-5) ), with an inverse association among smokers (OR = 1.42, P = 0.00228), suggesting that smoking modifies the effect of some genetic polymorphisms on AMD risk.

  7. Genetic interactions between Shox2 and Hox genes during the regional growth and development of the mouse limb.

    PubMed

    Neufeld, Stanley J; Wang, Fan; Cobb, John

    2014-11-01

    The growth and development of the vertebrate limb relies on homeobox genes of the Hox and Shox families, with their independent mutation often giving dose-dependent effects. Here we investigate whether Shox2 and Hox genes function together during mouse limb development by modulating their relative dosage and examining the limb for nonadditive effects on growth. Using double mRNA fluorescence in situ hybridization (FISH) in single embryos, we first show that Shox2 and Hox genes have associated spatial expression dynamics, with Shox2 expression restricted to the proximal limb along with Hoxd9 and Hoxa11 expression, juxtaposing the distal expression of Hoxa13 and Hoxd13. By generating mice with all possible dosage combinations of mutant Shox2 alleles and HoxA/D cluster deletions, we then show that their coordinated proximal limb expression is critical to generate normally proportioned limb segments. These epistatic interactions tune limb length, where Shox2 underexpression enhances, and Shox2 overexpression suppresses, Hox-mutant phenotypes. Disruption of either Shox2 or Hox genes leads to a similar reduction in Runx2 expression in the developing humerus, suggesting their concerted action drives cartilage maturation during normal development. While we furthermore provide evidence that Hox gene function influences Shox2 expression, this regulation is limited in extent and is unlikely on its own to be a major explanation for their genetic interaction. Given the similar effect of human SHOX mutations on regional limb growth, Shox and Hox genes may generally function as genetic interaction partners during the growth and development of the proximal vertebrate limb.

  8. Genetic variation suggests interaction between cold acclimation and metabolic regulation of leaf senescence.

    PubMed

    Masclaux-Daubresse, Céline; Purdy, Sarah; Lemaitre, Thomas; Pourtau, Nathalie; Taconnat, Ludivine; Renou, Jean-Pierre; Wingler, Astrid

    2007-01-01

    The extent to which leaf senescence is induced by nitrogen deficiency or by sugar accumulation varies between natural accessions of Arabidopsis (Arabidopsis thaliana). Analysis of senescence in plants of the Bay-0 x Shahdara recombinant inbred line (RIL) population revealed a large variation in developmental senescence of the whole leaf rosette, which was in agreement with the extent to which glucose (Glc) induced senescence in the different lines. To determine the regulatory basis of genetic differences in the Glc response, we investigated changes in gene expression using Complete Arabidopsis Transcriptome MicroArray (CATMA) analysis. Genes whose regulation did not depend on the genetic background, as well as genes whose regulation was specific to individual RILs, were identified. In RIL 310, a line that does not show the typical senescence response to Glc, stress response genes, especially those responding to cold stress, were induced by Glc. We therefore tested whether cold acclimation delays senescence by reducing sugar sensitivity. In cold-acclimated plants, leaf senescence was severely delayed and Glc did not induce the typical senescence response. Together, our results suggest that cold acclimation extends rosette longevity by affecting metabolic regulation of senescence, thereby allowing vernalization-dependent plants to survive the winter period. The role o