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Sample records for activity sequence analysis

  1. Decreasing Sports Activity with Increasing Age? Findings from a 20-Year Longitudinal and Cohort Sequence Analysis

    ERIC Educational Resources Information Center

    Breuer, Christoph; Wicker, Pamela

    2009-01-01

    According to cross-sectional studies in sport science literature, decreasing sports activity with increasing age is generally assumed. In this paper, the validity of this assumption is checked by applying more effective methods of analysis, such as longitudinal and cohort sequence analyses. With the help of 20 years' worth of data records from the…

  2. Analysis of DNA structure and sequence requirements for Pseudomonas aeruginosa MutL endonuclease activity.

    PubMed

    Correa, Elisa M E; De Tullio, Luisina; Vélez, Pablo S; Martina, Mariana A; Argaraña, Carlos E; Barra, José L

    2013-12-01

    The hallmark of the mismatch repair system in bacterial and eukaryotic organisms devoid of MutH is the presence of a MutL homologue with endonuclease activity. The aim of this study was to analyse whether different DNA structures affect Pseudomonas aeruginosa MutL (PaMutL) endonuclease activity and to determine if a specific nucleotide sequence is required for this activity. Our results showed that PaMutL was able to nick covalently closed circular plasmids but not linear DNA at high ionic strengths, while the activity on linear DNA was only found below 60 mM salt. In addition, single strand DNA, ss/ds DNA boundaries and negatively supercoiling degree were not required for PaMutL nicking activity. Finally, the analysis of the incision sites revealed that PaMutL, as well as Bacillus thuringiensis MutL homologue, did not show DNA sequence specificity.

  3. An expressed sequence tag database of T-cell-enriched activated chicken splenocytes: sequence analysis of 5251 clones.

    PubMed

    Tirunagaru, V G; Sofer, L; Cui, J; Burnside, J

    2000-06-01

    The cDNA and gene sequences of many mammalian cytokines and their receptors are known. However, corresponding information on avian cytokines is limited due to the lack of cross-species activity at the functional level or strong homology at the molecular level. To improve the efficiency of identifying cytokines and novel chicken genes, a directionally cloned cDNA library from T-cell-enriched activated chicken splenocytes was constructed, and the partial sequence of 5251 clones was obtained. Sequence clustering indicates that 2357 (42%) of the clones are present as a single copy, and 2961 are distinct clones, demonstrating the high level of complexity of this library. Comparisons of the sequence data with known DNA sequences in GenBank indicate that approximately 25% of the clones match known chicken genes, 39% have similarity to known genes in other species, and 11% had no match to any sequence in the database. Several previously uncharacterized chicken cytokines and their receptors were present in our library. This collection provides a useful database for cataloging genes expressed in T cells and a valuable resource for future investigations of gene expression in avian immunology. A chicken EST Web site (http://udgenome. ags.udel. edu/chickest/chick.htm) has been created to provide access to the data, and a set of unique sequences has been deposited with GenBank (Accession Nos. AI979741-AI982511). Our new Web site (http://www. chickest.udel.edu) will be active as of March 3, 2000, and will also provide keyword-searching capabilities for BLASTX and BLASTN hits of all our clones. PMID:10860659

  4. Sequence Search and Comparative Genomic Analysis of SUMO-Activating Enzymes Using CoGe.

    PubMed

    Carretero-Paulet, Lorenzo; Albert, Victor A

    2016-01-01

    The growing number of genome sequences completed during the last few years has made necessary the development of bioinformatics tools for the easy access and retrieval of sequence data, as well as for downstream comparative genomic analyses. Some of these are implemented as online platforms that integrate genomic data produced by different genome sequencing initiatives with data mining tools as well as various comparative genomic and evolutionary analysis possibilities.Here, we use the online comparative genomics platform CoGe ( http://www.genomevolution.org/coge/ ) (Lyons and Freeling. Plant J 53:661-673, 2008; Tang and Lyons. Front Plant Sci 3:172, 2012) (1) to retrieve the entire complement of orthologous and paralogous genes belonging to the SUMO-Activating Enzymes 1 (SAE1) gene family from a set of species representative of the Brassicaceae plant eudicot family with genomes fully sequenced, and (2) to investigate the history, timing, and molecular mechanisms of the gene duplications driving the evolutionary expansion and functional diversification of the SAE1 family in Brassicaceae. PMID:27424761

  5. PRP8 intein in Ajellomycetaceae family pathogens: sequence analysis, splicing evaluation and homing endonuclease activity.

    PubMed

    Theodoro, Raquel Cordeiro; Volkmann, Gerrit; Liu, Xiang-Qin; Bagagli, Eduardo

    2011-02-01

    Inteins are intervening sequences that are transcribed and translated with flanking host protein sequences and then self-excised by protein splicing. Bi-functional inteins also contain a homing endonuclease responsible for their genetic mobility. The PRP8 intein, the most widespread among fungi, occurs in important pathogens such as Histoplasma capsulatum and Paracoccidioides brasiliensis, from the Ajellomycetaceae family. Herein, we describe the bi-functional PRP8 intein in two other Ajellomycetacean pathogens, Blastomyces dermatitidis and Emmonsia parva. Sequence analysis and experimental evidence suggest that the homing endonuclease from PbrPRP8 is inactive. The splicing activity of the PRP8 intein from the B. dermatitidis, E. parva and P. brasiliensis species complex was demonstrated in a non-native protein context in Escherichia coli. Since the PRP8 intein is located in a functionally essential nuclear protein, it can be considered a promising therapeutic target for anti-fungal drugs, because inhibition of intein splicing should inhibit proliferation of intein-containing pathogens. PMID:20682355

  6. Cloning and sequence analysis of a cDNA clone coding for the mouse GM2 activator protein.

    PubMed Central

    Bellachioma, G; Stirling, J L; Orlacchio, A; Beccari, T

    1993-01-01

    A cDNA (1.1 kb) containing the complete coding sequence for the mouse GM2 activator protein was isolated from a mouse macrophage library using a cDNA for the human protein as a probe. There was a single ATG located 12 bp from the 5' end of the cDNA clone followed by an open reading frame of 579 bp. Northern blot analysis of mouse macrophage RNA showed that there was a single band with a mobility corresponding to a size of 2.3 kb. We deduce from this that the mouse mRNA, in common with the mRNA for the human GM2 activator protein, has a long 3' untranslated sequence of approx. 1.7 kb. Alignment of the mouse and human deduced amino acid sequences showed 68% identity overall and 75% identity for the sequence on the C-terminal side of the first 31 residues, which in the human GM2 activator protein contains the signal peptide. Hydropathicity plots showed great similarity between the mouse and human sequences even in regions of low sequence similarity. There is a single N-glycosylation site in the mouse GM2 activator protein sequence (Asn151-Phe-Thr) which differs in its location from the single site reported in the human GM2 activator protein sequence (Asn63-Val-Thr). Images Figure 1 PMID:7689829

  7. Regulatory sequence analysis tools.

    PubMed

    van Helden, Jacques

    2003-07-01

    The web resource Regulatory Sequence Analysis Tools (RSAT) (http://rsat.ulb.ac.be/rsat) offers a collection of software tools dedicated to the prediction of regulatory sites in non-coding DNA sequences. These tools include sequence retrieval, pattern discovery, pattern matching, genome-scale pattern matching, feature-map drawing, random sequence generation and other utilities. Alternative formats are supported for the representation of regulatory motifs (strings or position-specific scoring matrices) and several algorithms are proposed for pattern discovery. RSAT currently holds >100 fully sequenced genomes and these data are regularly updated from GenBank.

  8. Temporal Sequence of Hemispheric Network Activation during Semantic Processing: A Functional Network Connectivity Analysis

    ERIC Educational Resources Information Center

    Assaf, Michal; Jagannathan, Kanchana; Calhoun, Vince; Kraut, Michael; Hart, John, Jr.; Pearlson, Godfrey

    2009-01-01

    To explore the temporal sequence of, and the relationship between, the left and right hemispheres (LH and RH) during semantic memory (SM) processing we identified the neural networks involved in the performance of functional MRI semantic object retrieval task (SORT) using group independent component analysis (ICA) in 47 healthy individuals. SORT…

  9. Sequence Analysis and Characterization of Active Human Alu Subfamilies Based on the 1000 Genomes Pilot Project.

    PubMed

    Konkel, Miriam K; Walker, Jerilyn A; Hotard, Ashley B; Ranck, Megan C; Fontenot, Catherine C; Storer, Jessica; Stewart, Chip; Marth, Gabor T; Batzer, Mark A

    2015-08-29

    The goal of the 1000 Genomes Consortium is to characterize human genome structural variation (SV), including forms of copy number variations such as deletions, duplications, and insertions. Mobile element insertions, particularly Alu elements, are major contributors to genomic SV among humans. During the pilot phase of the project we experimentally validated 645 (611 intergenic and 34 exon targeted) polymorphic "young" Alu insertion events, absent from the human reference genome. Here, we report high resolution sequencing of 343 (322 unique) recent Alu insertion events, along with their respective target site duplications, precise genomic breakpoint coordinates, subfamily assignment, percent divergence, and estimated A-rich tail lengths. All the sequenced Alu loci were derived from the AluY lineage with no evidence of retrotransposition activity involving older Alu families (e.g., AluJ and AluS). AluYa5 is currently the most active Alu subfamily in the human lineage, followed by AluYb8, and many others including three newly identified subfamilies we have termed AluYb7a3, AluYb8b1, and AluYa4a1. This report provides the structural details of 322 unique Alu variants from individual human genomes collectively adding about 100 kb of genomic variation. Many Alu subfamilies are currently active in human populations, including a surprising level of AluY retrotransposition. Human Alu subfamilies exhibit continuous evolution with potential drivers sprouting new Alu lineages.

  10. ISHAN: sequence homology analysis package.

    PubMed

    Shil, Pratip; Dudani, Niraj; Vidyasagar, Pandit B

    2006-01-01

    Sequence based homology studies play an important role in evolutionary tracing and classification of proteins. Various methods are available to analyze biological sequence information. However, with the advent of proteomics era, there is a growing demand for analysis of huge amount of biological sequence information, and it has become necessary to have programs that would provide speedy analysis. ISHAN has been developed as a homology analysis package, built on various sequence analysis tools viz FASTA, ALIGN, CLUSTALW, PHYLIP and CODONW (for DNA sequences). This JAVA application offers the user choice of analysis tools. For testing, ISHAN was applied to perform phylogenetic analysis for sets of Caspase 3 DNA sequences and NF-kappaB p105 amino acid sequences. By integrating several tools it has made analysis much faster and reduced manual intervention. PMID:17274766

  11. Twin Mitochondrial Sequence Analysis.

    PubMed

    Bouhlal, Yosr; Martinez, Selena; Gong, Henry; Dumas, Kevin; Shieh, Joseph T C

    2013-09-01

    When applying genome-wide sequencing technologies to disease investigation, it is increasingly important to resolve sequence variation in regions of the genome that may have homologous sequences. The human mitochondrial genome challenges interpretation given the potential for heteroplasmy, somatic variation, and homologous nuclear mitochondrial sequences (numts). Identical twins share the same mitochondrial DNA (mtDNA) from early life, but whether the mitochondrial sequence remains similar is unclear. We compared an adult monozygotic twin pair using high throughput-sequencing and evaluated variants with primer extension and mitochondrial pre-enrichment. Thirty-seven variants were shared between the twin individuals, and the variants were verified on the original genomic DNA. These studies support highly identical genetic sequence in this case. Certain low-level variant calls were of high quality and homology to the mitochondrial DNA, and they were further evaluated. When we assessed calls in pre-enriched mitochondrial DNA templates, we found that these may represent numts, which can be differentiated from mtDNA variation. We conclude that twin identity extends to mitochondrial DNA, and it is critical to differentiate between numts and mtDNA in genome sequencing, particularly since significant heteroplasmy could influence genome interpretation. Further studies on mtDNA and numts will aid in understanding how variation occurs and persists. PMID:24040623

  12. Sequence and Phylogenetic Analysis of FAD Synthetase

    NASA Astrophysics Data System (ADS)

    Schubert, Luisa; Frago, Susana; Martínez-Júlvez, Marta; Medina, Milagros

    2006-08-01

    An evolutionary analysis of the sequences available till now for FAD synthetases has been carried out. Several identical conserved residues have been observed along the sequences of all the FAD synthetases analyzed, which might correlate with role for these residues in the catalytic activity of the enzyme. Phylogenetic analysis shows that FAD synthetase sequences can be organized in two main clusters. One of them mainly contains temperature, pressure or pH resistant organisms, whereas in the other one organisms with pathogenic character can be found.

  13. Image analysis for DNA sequencing

    NASA Astrophysics Data System (ADS)

    Palaniappan, Kannappan; Huang, Thomas S.

    1991-07-01

    There is a great deal of interest in automating the process of DNA (deoxyribonucleic acid) sequencing to support the analysis of genomic DNA such as the Human and Mouse Genome projects. In one class of gel-based sequencing protocols autoradiograph images are generated in the final step and usually require manual interpretation to reconstruct the DNA sequence represented by the image. The need to handle a large volume of sequence information necessitates automation of the manual autoradiograph reading step through image analysis in order to reduce the length of time required to obtain sequence data and reduce transcription errors. Various adaptive image enhancement, segmentation and alignment methods were applied to autoradiograph images. The methods are adaptive to the local characteristics of the image such as noise, background signal, or presence of edges. Once the two-dimensional data is converted to a set of aligned one-dimensional profiles waveform analysis is used to determine the location of each band which represents one nucleotide in the sequence. Different classification strategies including a rule-based approach are investigated to map the profile signals, augmented with the original two-dimensional image data as necessary, to textual DNA sequence information.

  14. [Multilocus sequence typing (MLST) analysis].

    PubMed

    Matsumura, Yasufumi

    2013-12-01

    Multilocus sequence typing (MLST) analysis has been emerging as a powerful tool for genotyping specific bacterial species. MLST utilizes internal fragments of multiple housekeeping genes and the combination of each allele defines the sequence type for each isolate. MLST databases contain reference data and are freely accessible via internet websites. The standard method for investigating short-term hospital outbreaks is still pulse-field gel-electrophoresis and MLST analysis is not a substitute. However, analysis of sequence types and clonal complexes (closely related sequence types) enables identification and understanding of a specific clone that is widely spreading among drug-resistant organisms, or a key clone that is important for evolution of the organism. In the case of Escherichia coli, CTX-M-15 or CTX-M-14 extended-spectrum beta-lactamase producing ST131 clone has emerged and spread globally in the last 10 years. MLST analysis is an unambiguous procedure and is becoming a common typing method to characterize isolates. PMID:24605545

  15. RSAT: regulatory sequence analysis tools.

    PubMed

    Thomas-Chollier, Morgane; Sand, Olivier; Turatsinze, Jean-Valéry; Janky, Rekin's; Defrance, Matthieu; Vervisch, Eric; Brohée, Sylvain; van Helden, Jacques

    2008-07-01

    The regulatory sequence analysis tools (RSAT, http://rsat.ulb.ac.be/rsat/) is a software suite that integrates a wide collection of modular tools for the detection of cis-regulatory elements in genome sequences. The suite includes programs for sequence retrieval, pattern discovery, phylogenetic footprint detection, pattern matching, genome scanning and feature map drawing. Random controls can be performed with random gene selections or by generating random sequences according to a variety of background models (Bernoulli, Markov). Beyond the original word-based pattern-discovery tools (oligo-analysis and dyad-analysis), we recently added a battery of tools for matrix-based detection of cis-acting elements, with some original features (adaptive background models, Markov-chain estimation of P-values) that do not exist in other matrix-based scanning tools. The web server offers an intuitive interface, where each program can be accessed either separately or connected to the other tools. In addition, the tools are now available as web services, enabling their integration in programmatic workflows. Genomes are regularly updated from various genome repositories (NCBI and EnsEMBL) and 682 organisms are currently supported. Since 1998, the tools have been used by several hundreds of researchers from all over the world. Several predictions made with RSAT were validated experimentally and published.

  16. Neurospora tryptophan synthase: N-terminal analysis and the sequence of the pyridoxal phosphate active site peptide

    SciTech Connect

    Pratt, M.L.; Hsu, P.Y.; DeMoss, J.A.

    1986-05-01

    Tryptophan synthase (TS), which catalyzes the final step of tryptophan biosynthesis, is a multifunctional protein requiring pyridoxal phosphate (B6P) for two of its three distinct enzyme activities. TS from Neurospora has a blocked N-terminal, is a homodimer of 150 KDa and binds one mole of B6P per mole of subunit. The authors shown the N-terminal residue to be acyl-serine. The B6P-active site of holoenzyme was labelled by reduction of the B6P-Schiff base with (/sup 3/H)-NaBH/sub 4/, and resulted in a proportionate loss of activity in the two B6P-requiring reactions. SDS-polyacrylamide gel electrophoresis of CNBr-generated peptides showed the labelled, active site peptide to be 6 KDa. The sequence of this peptide, purified to apparent homogeneity by a combination of C-18 reversed phase and TSK gel filtration HPLC is: gly-arg-pro-gly-gln-leu-his-lys-ala-glu-arg-leu-thr-glu-tyr-ala-gly-gly-ala-gln-ile-xxx-leu-lys-arg-glu-asp-leu-asn-his-xxx-gly-xxx-his-/sub ***/-ile-asn-asn-ala-leu. Although four residues (xxx, /sub ***/) are unidentified, this peptide is minimally 78% homologous with the corresponding peptide from yeast TS, in which residue (/sub ***/) is the lysine that binds B6P.

  17. Active deformation and engineering analysis of CFRP mirror of various lay-up sequences within quasi-isotropic laminates

    NASA Astrophysics Data System (ADS)

    Zeng, Chunmei; Yu, Xia; Guo, Peiji

    2014-08-01

    A regularization stiffness coefficient method was verified further to optimize lay-up sequences of quasi-isotropic laminates for carbon fiber reinforced polymer (CFRP) composite mirrors. Firstly, the deformation due to gravity of 1G and temperature difference of 20-100°C and the modal were analyzed by finite element method (FEM). Secondly, the influence of angle error of ply stacking on quasi-isotropic of bending stiffness was evaluated. Finally, an active support system of 49 actuators in circular arrangement is designed for a 500mm CFRP mirror, and its goal is to deform the spherical CFRP mirror to a parabolic. Therefore, the response functions of the actuators were gotten, and the surface form errors and stresses were calculated and analyzed. The results show that the CFRP mirrors designed by the method have a better symmetrical bending deformation under gravity and thermal load and a higher fundamental frequency, and the larger n the better symmetry (for π/n quasi-isotropic laminates); the method reduces the sensitivity to misalignment of ply orientation for symmetric bending, and the mirror's maximum von Mises stress and maximum shear stress are less compared to those laminates not optimized in lay-up sequence.

  18. The V(D)J recombination activating protein RAG2 consists of a six-bladed propeller and a PHD fingerlike domain, as revealed by sequence analysis.

    PubMed

    Callebaut, I; Mornon, J P

    1998-08-01

    The RAG1 and RAG2 proteins play a crucial role in V(D)J recombination by cooperating to make specific double-stranded DNA breaks at a pair of recombination signal sequences (RSSs). However, the exact function they perform has heretofore remained elusive. Using a combination of sensitive methods of sequence analysis, we show here that the active core region of the RAG2 protein, confined to the first three quarters of its sequence, is in fact composed of a six-fold repeat of a 50-residue motif which is related to the kelch/mipp motif. This motif, which forms a four-stranded twisted antiparallel beta sheet, is arranged in a circular formation like blades of a propeller or turbine. Given the known properties of the beta-propeller fold in mediating protein-protein interactions, it is proposed that this six-laded propeller structure of the RAG2 active core would play a crucial role in the tight complex formed by the RAG1 and RAG2 proteins and RSSs. Moreover, the presence of a plant homeodomain finger-like motif in the last quarter of the RAG2 sequence suggests a potential interaction of this domain with chromatin components. PMID:9760994

  19. Activation analysis

    SciTech Connect

    Alfassi, Z.B. . Dept. of Nuclear Engineering)

    1990-01-01

    This volume contains 16 chapters on the application of activation analysis in the fields of life sciences, biological materials, coal and its effluents, environmental samples, archaeology, material science, and forensics. Each chapter is processed separately for the data base.

  20. Comparative Analysis of Genome Sequences with VISTA

    DOE Data Explorer

    Dubchak, Inna

    VISTA is a comprehensive suite of programs and databases developed by and hosted at the Genomics Division of Lawrence Berkeley National Laboratory. They provide information and tools designed to facilitate comparative analysis of genomic sequences. Users have two ways to interact with the suite of applications at the VISTA portal. They can submit their own sequences and alignments for analysis (VISTA servers) or examine pre-computed whole-genome alignments of different species. A key menu option is the Enhancer Browser and Database at http://enhancer.lbl.gov/. The VISTA Enhancer Browser is a central resource for experimentally validated human noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation with other vertebrates. The results of this enhancer screen are provided through this publicly available website. The browser also features relevant results by external contributors and a large collection of additional genome-wide conserved noncoding elements which are candidate enhancer sequences. The LBL developers invite external groups to submit computational predictions of developmental enhancers. As of 10/19/2009 the database contains information on 1109 in vivo tested elements - 508 elements with enhancer activity.

  1. Dissociation behavior of a bifunctional tempo-active ester reagent for peptide structure analysis by free radical initiated peptide sequencing (FRIPS) mass spectrometry.

    PubMed

    Ihling, Christian; Falvo, Francesco; Kratochvil, Isabel; Sinz, Andrea; Schäfer, Mathias

    2015-02-01

    We have synthesized a homobifunctional active ester cross-linking reagent containing a TEMPO (2,2,6,6-tetramethylpiperidine-1-oxy) moiety connected to a benzyl group (Bz), termed TEMPO-Bz-linker. The aim for designing this novel cross-linker was to facilitate MS analysis of cross-linked products by free radical initiated peptide sequencing (FRIPS). The TEMPO-Bz-linker was reacted with all 20 proteinogenic amino acids as well as with model peptides to gain detailed insights into its fragmentation mechanism upon collision activation. The final goal of this proof-of-principle study was to evaluate the potential of the TEMPO-Bz-linker for chemical cross-linking studies to derive 3D-structure information of proteins. Our studies were motivated by the well documented instability of the central NO-C bond of TEMPO-Bz reagents upon collision activation. The fragmentation of this specific bond was investigated in respect to charge states and amino acid composition of a large set of precursor ions resulting in the identification of two distinct fragmentation pathways. Molecular ions with highly basic residues are able to keep the charge carriers located, i.e. protons or sodium cations, and consequently decompose via a homolytic cleavage of the NO-C bond of the TEMPO-Bz-linker. This leads to the formation of complementary open-shell peptide radical cations, while precursor ions that are protonated at the TEMPO-Bz-linker itself exhibit a charge-driven formation of even-electron product ions upon collision activation. MS(3) product ion experiments provided amino acid sequence information and allowed determining the cross-linking site. Our study fully characterizes the CID behavior of the TEMPO-Bz-linker and demonstrates its potential, but also its limitations for chemical cross-linking applications utilizing the special features of open-shell peptide ions on the basis of selective tandem MS analysis.

  2. Clonality Analysis of Immunoglobulin Gene Rearrangement by Next-Generation Sequencing in Endemic Burkitt Lymphoma Suggests Antigen Drive Activation of BCR as Opposed to Sporadic Burkitt Lymphoma

    PubMed Central

    Amato, Teresa; Abate, Francesco; Piccaluga, Pierpaolo; Iacono, Michele; Fallerini, Chiara; Renieri, Alessandra; De Falco, Giulia; Ambrosio, Maria Raffaella; Mourmouras, Vaselious; Ogwang, Martin; Calbi, Valeria; Rabadan, Roul; Hummel, Michael; Pileri, Stefano; Bellan, Cristiana

    2016-01-01

    Objectives: Recent studies using next-generation sequencing (NGS) analysis disclosed the importance of the intrinsic activation of the B-cell receptor (BCR) pathway in the pathogenesis of sporadic Burkitt lymphoma (sBL) due to mutations of TCF3/ID3 genes. Since no definitive data are available on the genetic landscape of endemic Burkitt (eBL), we first assessed the mutation frequency of TCF3/ID3 in eBL compared with sBL and subsequently the somatic hypermutation status of the BCR to answer whether an extrinsic activation of BCR signaling could also be demonstrated in Burkitt lymphoma. Methods: We assessed the mutations of TCF3/ID3 by RNAseq and the BCR status by NGS analysis of the immunoglobulin genes (IGs). Results: We detected mutations of TCF3/ID3 in about 30% of the eBL cases. This rate is significantly lower than that detected in sBL (64%). The NGS analysis of IGs revealed intraclonal diversity, suggesting an active targeted somatic hypermutation process in eBL compared with sBL. Conclusions: These findings support the view that the antigenic pressure plays a key role in the pathogenetic pathways of eBL, which may be partially distinct from those driving sBL development. PMID:26712879

  3. Analysis of the spacing between the two palindromes of activation sequence-1 with respect to binding to different TGA factors and transcriptional activation potential.

    PubMed

    Krawczyk, Stefanie; Thurow, Corinna; Niggeweg, Ricarda; Gatz, Christiane

    2002-02-01

    In higher plants, activation sequence-1 (as-1) of the cauliflower mosaic virus 35S promoter mediates both salicylic acid- and auxin-inducible transcriptional activation. Originally found in viral and T-DNA promoters, as-1-like elements are also functional elements of plant promoters activated in the course of a defence response upon pathogen attack. as-1-like elements are characterised by two imperfect palindromes with the palindromic centres being spaced by 12 bp. They are recognised by plant nuclear as-1-binding factor ASF-1, the major component of which is basic/leucine zipper (bZIP) protein TGA2.2 (approximately 80%) in Nicotiana tabacum. In electrophoretic mobility shift assays, ASF-1 as well as bZIP proteins TGA2.2, TGA2.1 and TGA1a showed a 3-10-fold reduced binding affinity to mutant as-1 elements encoding insertions of 2, 4, 6, 8 or 10 bp between the palindromes, respectively. This correlated with a 5-10-fold reduction in transcriptional activation from these elements in transient expression assays. Although ASF-1 and TGA factors bound efficiently to a mutant element carrying a 2 bp deletion between the palindromes [as-1/(-2)], the latter was strongly compromised with respect to mediating gene expression in vivo. A fusion protein consisting of TGA2.2 and a constitutive activation domain mediated transactivation from as-1/(-2) demonstrating binding of TGA factors in vivo. We therefore conclude that both DNA binding and transactivation require optimal positioning of TGA factors on the as-1 element.

  4. Analysis of the spacing between the two palindromes of activation sequence-1 with respect to binding to different TGA factors and transcriptional activation potential

    PubMed Central

    Krawczyk, Stefanie; Thurow, Corinna; Niggeweg, Ricarda; Gatz, Christiane

    2002-01-01

    In higher plants, activation sequence-1 (as-1) of the cauliflower mosaic virus 35S promoter mediates both salicylic acid- and auxin-inducible transcriptional activation. Originally found in viral and T-DNA promoters, as-1-like elements are also functional elements of plant promoters activated in the course of a defence response upon pathogen attack. as-1-like elements are characterised by two imperfect palindromes with the palindromic centres being spaced by 12 bp. They are recognised by plant nuclear as-1-binding factor ASF-1, the major component of which is basic/leucine zipper (bZIP) protein TGA2.2 (∼80%) in Nicotiana tabacum. In electrophoretic mobility shift assays, ASF-1 as well as bZIP proteins TGA2.2, TGA2.1 and TGA1a showed a 3–10-fold reduced binding affinity to mutant as-1 elements encoding insertions of 2, 4, 6, 8 or 10 bp between the palindromes, respectively. This correlated with a 5–10-fold reduction in transcriptional activation from these elements in transient expression assays. Although ASF-1 and TGA factors bound efficiently to a mutant element carrying a 2 bp deletion between the palindromes [as-1/(–2)], the latter was strongly compromised with respect to mediating gene expression in vivo. A fusion protein consisting of TGA2.2 and a constitutive activation domain mediated transactivation from as-1/(–2) demonstrating binding of TGA factors in vivo. We therefore conclude that both DNA binding and transactivation require optimal positioning of TGA factors on the as-1 element. PMID:11809891

  5. Nonlinear analysis of biological sequences

    SciTech Connect

    Torney, D.C.; Bruno, W.; Detours, V.

    1998-11-01

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The main objectives of this project involved deriving new capabilities for analyzing biological sequences. The authors focused on tabulating the statistical properties exhibited by Human coding DNA sequences and on techniques of inferring the phylogenetic relationships among protein sequences related by descent.

  6. Analysis of human collagen sequences.

    PubMed

    Nassa, Manisha; Anand, Pracheta; Jain, Aditi; Chhabra, Aastha; Jaiswal, Astha; Malhotra, Umang; Rani, Vibha

    2012-01-01

    The extracellular matrix is fast emerging as important component mediating cell-cell interactions, along with its established role as a scaffold for cell support. Collagen, being the principal component of extracellular matrix, has been implicated in a number of pathological conditions. However, collagens are complex protein structures belonging to a large family consisting of 28 members in humans; hence, there exists a lack of in depth information about their structural features. Annotating and appreciating the functions of these proteins is possible with the help of the numerous biocomputational tools that are currently available. This study reports a comparative analysis and characterization of the alpha-1 chain of human collagen sequences. Physico-chemical, secondary structural, functional and phylogenetic classification was carried out, based on which, collagens 12, 14 and 20, which belong to the FACIT collagen family, have been identified as potential players in diseased conditions, owing to certain atypical properties such as very high aliphatic index, low percentage of glycine and proline residues and their proximity in evolutionary history. These collagen molecules might be important candidates to be investigated further for their role in skeletal disorders. PMID:22359431

  7. Ferritin from the Pacific abalone Haliotis discus hannai: Analysis of cDNA sequence, expression, and activity.

    PubMed

    Qiu, Reng; Kan, Yunchao; Li, Dandan

    2016-02-01

    Ferritin plays an important role in iron homeostasis due to its ability to bind and sequester large amounts of iron. In this study, the gene encoding a ferritin (HdhFer2) was cloned from Pacific abalone (Haliotis discus hannai). The full-length cDNA of HdhFer2 contains a 5'-UTR of 121 bp, an ORF of 516 bp, and a 3'-UTR of 252 bp with a polyadenylation signal sequence of AATAAA and a poly(A) tail. It also contains a 31 bp iron-responsive element (IRE) in the 5'-UTR position, which is conserved in many ferritins. HdhFer2 consists of 171 amino acid residues with a predicted molecular weight (MW) ∼19.8 kDa and a theoretical isoelectric point (PI) of 4.84. The deduced amino acid sequence of HdhFer2 contains two ferritin iron-binding region signatures (IBRSs). HdhFer2 mRNA was detected in a wide range of tissues and was dominantly expressed in the gill. Infection with the bacterial pathogen Vibrio anguillarum significantly upregulated HdhFer2 expression in a time-dependent manner. Recombinant HdhFer2 (rHdhFer2) purified from Escherichia coli was able to bind ferrous iron in a concentration-dependent manner. In summary, these results suggest that HdhFer2 is a crucial protein in the iron-withholding defense system, and plays an important role in the innate immune response of abalone. PMID:26766182

  8. Ferritin from the Pacific abalone Haliotis discus hannai: Analysis of cDNA sequence, expression, and activity.

    PubMed

    Qiu, Reng; Kan, Yunchao; Li, Dandan

    2016-02-01

    Ferritin plays an important role in iron homeostasis due to its ability to bind and sequester large amounts of iron. In this study, the gene encoding a ferritin (HdhFer2) was cloned from Pacific abalone (Haliotis discus hannai). The full-length cDNA of HdhFer2 contains a 5'-UTR of 121 bp, an ORF of 516 bp, and a 3'-UTR of 252 bp with a polyadenylation signal sequence of AATAAA and a poly(A) tail. It also contains a 31 bp iron-responsive element (IRE) in the 5'-UTR position, which is conserved in many ferritins. HdhFer2 consists of 171 amino acid residues with a predicted molecular weight (MW) ∼19.8 kDa and a theoretical isoelectric point (PI) of 4.84. The deduced amino acid sequence of HdhFer2 contains two ferritin iron-binding region signatures (IBRSs). HdhFer2 mRNA was detected in a wide range of tissues and was dominantly expressed in the gill. Infection with the bacterial pathogen Vibrio anguillarum significantly upregulated HdhFer2 expression in a time-dependent manner. Recombinant HdhFer2 (rHdhFer2) purified from Escherichia coli was able to bind ferrous iron in a concentration-dependent manner. In summary, these results suggest that HdhFer2 is a crucial protein in the iron-withholding defense system, and plays an important role in the innate immune response of abalone.

  9. Phylogenetic Analysis of Poliovirus Sequences.

    PubMed

    Jorba, Jaume

    2016-01-01

    Comparative genomic sequencing is a major surveillance tool in the Polio Laboratory Network. Due to the rapid evolution of polioviruses (~1 % per year), pathways of virus transmission can be reconstructed from the pathways of genomic evolution. Here, we describe three main phylogenetic methods; estimation of genetic distances, reconstruction of a maximum-likelihood (ML) tree, and estimation of substitution rates using Bayesian Markov chain Monte Carlo (MCMC). The data set used consists of complete capsid sequences from a survey of poliovirus sequences available in GenBank. PMID:26983737

  10. Genome Sequencing and Analysis Conference IV

    SciTech Connect

    Not Available

    1993-12-31

    J. Craig Venter and C. Thomas Caskey co-chaired Genome Sequencing and Analysis Conference IV held at Hilton Head, South Carolina from September 26--30, 1992. Venter opened the conference by noting that approximately 400 researchers from 16 nations were present four times as many participants as at Genome Sequencing Conference I in 1989. Venter also introduced the Data Fair, a new component of the conference allowing exchange and on-site computer analysis of unpublished sequence data.

  11. An Epistemological Analysis of the Evolution of Didactical Activities in Teaching-Learning Sequences: The Case of Fluids. Special Issue

    ERIC Educational Resources Information Center

    Psillos, D.; Tselfes, Vassilis; Kariotoglou, Petros

    2004-01-01

    In the present paper we propose a theoretical framework for an epistemological modelling of teaching-learning (didactical) activities, which draws on recent studies of scientific practice. We present and analyse the framework, which includes three categories: namely, Cosmos-Evidence-Ideas (CEI). We also apply this framework in order to model a…

  12. Characterization and potential of three temperature ranges for hydrogen fermentation of cellulose by means of activity test and 16s rRNA sequence analysis.

    PubMed

    Gadow, Samir I; Jiang, Hongyu; Li, Yu-You

    2016-06-01

    A series of standardized activity experiments were performed to characterize three different temperature ranges of hydrogen fermentation from different carbon sources. 16S rRNA sequences analysis showed that the bacteria were close to Enterobacter genus in the mesophilic mixed culture (MMC) and Thermoanaerobacterium genus in the thermophilic and hyper-thermophilic mixed cultures (TMC and HMC). The MMC was able to utilize the glucose and cellulose to produce methane gas within a temperature range between 25 and 45 °C and hydrogen gas from 35 to 60°C. While, the TMC and HMC produced only hydrogen gas at all temperature ranges and the highest activity of 521.4mlH2/gVSSd was obtained by TMC. The thermodynamic analysis showed that more energy is consumed by hydrogen production from cellulose than from glucose. The experimental results could help to improve the economic feasibility of cellulosic biomass energy using three-phase technology to produce hythane.

  13. Analysis of DNA Sequence Variants Detected by High Throughput Sequencing

    PubMed Central

    Adams, David R; Sincan, Murat; Fajardo, Karin Fuentes; Mullikin, James C; Pierson, Tyler M; Toro, Camilo; Boerkoel, Cornelius F; Tifft, Cynthia J; Gahl, William A; Markello, Tom C

    2014-01-01

    The Undiagnosed Diseases Program at the National Institutes of Health uses High Throughput Sequencing (HTS) to diagnose rare and novel diseases. HTS techniques generate large numbers of DNA sequence variants, which must be analyzed and filtered to find candidates for disease causation. Despite the publication of an increasing number of successful exome-based projects, there has been little formal discussion of the analytic steps applied to HTS variant lists. We present the results of our experience with over 30 families for whom HTS sequencing was used in an attempt to find clinical diagnoses. For each family, exome sequence was augmented with high-density SNP-array data. We present a discussion of the theory and practical application of each analytic step and provide example data to illustrate our approach. The paper is designed to provide an analytic roadmap for variant analysis, thereby enabling a wide range of researchers and clinical genetics practitioners to perform direct analysis of HTS data for their patients and projects. PMID:22290882

  14. Analysis and Annotation of Nucleic Acid Sequence

    SciTech Connect

    States, David J.

    2004-07-28

    The aims of this project were to develop improved methods for computational genome annotation and to apply these methods to improve the annotation of genomic sequence data with a specific focus on human genome sequencing. The project resulted in a substantial body of published work. Notable contributions of this project were the identification of basecalling and lane tracking as error processes in genome sequencing and contributions to improved methods for these steps in genome sequencing. This technology improved the accuracy and throughput of genome sequence analysis. Probabilistic methods for physical map construction were developed. Improved methods for sequence alignment, alternative splicing analysis, promoter identification and NF kappa B response gene prediction were also developed.

  15. Fractal analysis of DNA sequence data

    SciTech Connect

    Berthelsen, C.L.

    1993-01-01

    DNA sequence databases are growing at an almost exponential rate. New analysis methods are needed to extract knowledge about the organization of nucleotides from this vast amount of data. Fractal analysis is a new scientific paradigm that has been used successfully in many domains including the biological and physical sciences. Biological growth is a nonlinear dynamic process and some have suggested that to consider fractal geometry as a biological design principle may be most productive. This research is an exploratory study of the application of fractal analysis to DNA sequence data. A simple random fractal, the random walk, is used to represent DNA sequences. The fractal dimension of these walks is then estimated using the [open quote]sandbox method[close quote]. Analysis of 164 human DNA sequences compared to three types of control sequences (random, base-content matched, and dimer-content matched) reveals that long-range correlations are present in DNA that are not explained by base or dimer frequencies. The study also revealed that the fractal dimension of coding sequences was significantly lower than sequences that were primarily noncoding, indicating the presence of longer-range correlations in functional sequences. The multifractal spectrum is used to analyze fractals that are heterogeneous and have a different fractal dimension for subsets with different scalings. The multifractal spectrum of the random walks of twelve mitochondrial genome sequences was estimated. Eight vertebrate mtDNA sequences had uniformly lower spectra values than did four invertebrate mtDNA sequences. Thus, vertebrate mitochondria show significantly longer-range correlations than to invertebrate mitochondria. The higher multifractal spectra values for invertebrate mitochondria suggest a more random organization of the sequences. This research also includes considerable theoretical work on the effects of finite size, embedding dimension, and scaling ranges.

  16. Fractal Analysis of DNA Sequence Data

    NASA Astrophysics Data System (ADS)

    Berthelsen, Cheryl Lynn

    DNA sequence databases are growing at an almost exponential rate. New analysis methods are needed to extract knowledge about the organization of nucleotides from this vast amount of data. Fractal analysis is a new scientific paradigm that has been used successfully in many domains including the biological and physical sciences. Biological growth is a nonlinear dynamic process and some have suggested that to consider fractal geometry as a biological design principle may be most productive. This research is an exploratory study of the application of fractal analysis to DNA sequence data. A simple random fractal, the random walk, is used to represent DNA sequences. The fractal dimension of these walks is then estimated using the "sandbox method." Analysis of 164 human DNA sequences compared to three types of control sequences (random, base -content matched, and dimer-content matched) reveals that long-range correlations are present in DNA that are not explained by base or dimer frequencies. The study also revealed that the fractal dimension of coding sequences was significantly lower than sequences that were primarily noncoding, indicating the presence of longer-range correlations in functional sequences. The multifractal spectrum is used to analyze fractals that are heterogeneous and have a different fractal dimension for subsets with different scalings. The multifractal spectrum of the random walks of twelve mitochondrial genome sequences was estimated. Eight vertebrate mtDNA sequences had uniformly lower spectra values than did four invertebrate mtDNA sequences. Thus, vertebrate mitochondria show significantly longer-range correlations than do invertebrate mitochondria. The higher multifractal spectra values for invertebrate mitochondria suggest a more random organization of the sequences. This research also includes considerable theoretical work on the effects of finite size, embedding dimension, and scaling ranges.

  17. Whole-Genome Sequencing in Outbreak Analysis

    PubMed Central

    Turner, Stephen D.; Riley, Margaret F.; Petri, William A.; Hewlett, Erik L.

    2015-01-01

    SUMMARY In addition to the ever-present concern of medical professionals about epidemics of infectious diseases, the relative ease of access and low cost of obtaining, producing, and disseminating pathogenic organisms or biological toxins mean that bioterrorism activity should also be considered when facing a disease outbreak. Utilization of whole-genome sequencing (WGS) in outbreak analysis facilitates the rapid and accurate identification of virulence factors of the pathogen and can be used to identify the path of disease transmission within a population and provide information on the probable source. Molecular tools such as WGS are being refined and advanced at a rapid pace to provide robust and higher-resolution methods for identifying, comparing, and classifying pathogenic organisms. If these methods of pathogen characterization are properly applied, they will enable an improved public health response whether a disease outbreak was initiated by natural events or by accidental or deliberate human activity. The current application of next-generation sequencing (NGS) technology to microbial WGS and microbial forensics is reviewed. PMID:25876885

  18. Whole-genome sequencing in outbreak analysis.

    PubMed

    Gilchrist, Carol A; Turner, Stephen D; Riley, Margaret F; Petri, William A; Hewlett, Erik L

    2015-07-01

    In addition to the ever-present concern of medical professionals about epidemics of infectious diseases, the relative ease of access and low cost of obtaining, producing, and disseminating pathogenic organisms or biological toxins mean that bioterrorism activity should also be considered when facing a disease outbreak. Utilization of whole-genome sequencing (WGS) in outbreak analysis facilitates the rapid and accurate identification of virulence factors of the pathogen and can be used to identify the path of disease transmission within a population and provide information on the probable source. Molecular tools such as WGS are being refined and advanced at a rapid pace to provide robust and higher-resolution methods for identifying, comparing, and classifying pathogenic organisms. If these methods of pathogen characterization are properly applied, they will enable an improved public health response whether a disease outbreak was initiated by natural events or by accidental or deliberate human activity. The current application of next-generation sequencing (NGS) technology to microbial WGS and microbial forensics is reviewed. PMID:25876885

  19. Project Report: Automatic Sequence Processor Software Analysis

    NASA Technical Reports Server (NTRS)

    Benjamin, Brandon

    2011-01-01

    The Mission Planning and Sequencing (MPS) element of Multi-Mission Ground System and Services (MGSS) provides space missions with multi-purpose software to plan spacecraft activities, sequence spacecraft commands, and then integrate these products and execute them on spacecraft. Jet Propulsion Laboratory (JPL) is currently is flying many missions. The processes for building, integrating, and testing the multi-mission uplink software need to be improved to meet the needs of the missions and the operations teams that command the spacecraft. The Multi-Mission Sequencing Team is responsible for collecting and processing the observations, experiments and engineering activities that are to be performed on a selected spacecraft. The collection of these activities is called a sequence and ultimately a sequence becomes a sequence of spacecraft commands. The operations teams check the sequence to make sure that no constraints are violated. The workflow process involves sending a program start command, which activates the Automatic Sequence Processor (ASP). The ASP is currently a file-based system that is comprised of scripts written in perl, c-shell and awk. Once this start process is complete, the system checks for errors and aborts if there are any; otherwise the system converts the commands to binary, and then sends the resultant information to be radiated to the spacecraft.

  20. Brain activation during anticipation of sound sequences.

    PubMed

    Leaver, Amber M; Van Lare, Jennifer; Zielinski, Brandon; Halpern, Andrea R; Rauschecker, Josef P

    2009-02-25

    Music consists of sound sequences that require integration over time. As we become familiar with music, associations between notes, melodies, and entire symphonic movements become stronger and more complex. These associations can become so tight that, for example, hearing the end of one album track can elicit a robust image of the upcoming track while anticipating it in total silence. Here, we study this predictive "anticipatory imagery" at various stages throughout learning and investigate activity changes in corresponding neural structures using functional magnetic resonance imaging. Anticipatory imagery (in silence) for highly familiar naturalistic music was accompanied by pronounced activity in rostral prefrontal cortex (PFC) and premotor areas. Examining changes in the neural bases of anticipatory imagery during two stages of learning conditional associations between simple melodies, however, demonstrates the importance of fronto-striatal connections, consistent with a role of the basal ganglia in "training" frontal cortex (Pasupathy and Miller, 2005). Another striking change in neural resources during learning was a shift between caudal PFC earlier to rostral PFC later in learning. Our findings regarding musical anticipation and sound sequence learning are highly compatible with studies of motor sequence learning, suggesting common predictive mechanisms in both domains. PMID:19244522

  1. Optimal rotation sequences for active perception

    NASA Astrophysics Data System (ADS)

    Nakath, David; Rachuy, Carsten; Clemens, Joachim; Schill, Kerstin

    2016-05-01

    One major objective of autonomous systems navigating in dynamic environments is gathering information needed for self localization, decision making, and path planning. To account for this, such systems are usually equipped with multiple types of sensors. As these sensors often have a limited field of view and a fixed orientation, the task of active perception breaks down to the problem of calculating alignment sequences which maximize the information gain regarding expected measurements. Action sequences that rotate the system according to the calculated optimal patterns then have to be generated. In this paper we present an approach for calculating these sequences for an autonomous system equipped with multiple sensors. We use a particle filter for multi- sensor fusion and state estimation. The planning task is modeled as a Markov decision process (MDP), where the system decides in each step, what actions to perform next. The optimal control policy, which provides the best action depending on the current estimated state, maximizes the expected cumulative reward. The latter is computed from the expected information gain of all sensors over time using value iteration. The algorithm is applied to a manifold representation of the joint space of rotation and time. We show the performance of the approach in a spacecraft navigation scenario where the information gain is changing over time, caused by the dynamic environment and the continuous movement of the spacecraft

  2. Auditory sequence analysis and phonological skill.

    PubMed

    Grube, Manon; Kumar, Sukhbinder; Cooper, Freya E; Turton, Stuart; Griffiths, Timothy D

    2012-11-01

    This work tests the relationship between auditory and phonological skill in a non-selected cohort of 238 school students (age 11) with the specific hypothesis that sound-sequence analysis would be more relevant to phonological skill than the analysis of basic, single sounds. Auditory processing was assessed across the domains of pitch, time and timbre; a combination of six standard tests of literacy and language ability was used to assess phonological skill. A significant correlation between general auditory and phonological skill was demonstrated, plus a significant, specific correlation between measures of phonological skill and the auditory analysis of short sequences in pitch and time. The data support a limited but significant link between auditory and phonological ability with a specific role for sound-sequence analysis, and provide a possible new focus for auditory training strategies to aid language development in early adolescence. PMID:22951739

  3. Sequencing and Analysis of Neanderthal Genomic DNA

    PubMed Central

    Noonan, James P.; Coop, Graham; Kudaravalli, Sridhar; Smith, Doug; Krause, Johannes; Alessi, Joe; Chen, Feng; Platt, Darren; Pääbo, Svante; Pritchard, Jonathan K.; Rubin, Edward M.

    2008-01-01

    Our knowledge of Neanderthals is based on a limited number of remains and artifacts from which we must make inferences about their biology, behavior, and relationship to ourselves. Here, we describe the characterization of these extinct hominids from a new perspective, based on the development of a Neanderthal metagenomic library and its high-throughput sequencing and analysis. Several lines of evidence indicate that the 65,250 base pairs of hominid sequence so far identified in the library are of Neanderthal origin, the strongest being the ascertainment of sequence identities between Neanderthal and chimpanzee at sites where the human genomic sequence is different. These results enabled us to calculate the human-Neanderthal divergence time based on multiple randomly distributed autosomal loci. Our analyses suggest that on average the Neanderthal genomic sequence we obtained and the reference human genome sequence share a most recent common ancestor ~706,000 years ago, and that the human and Neanderthal ancestral populations split ~370,000 years ago, before the emergence of anatomically modern humans. Our finding that the Neanderthal and human genomes are at least 99.5% identical led us to develop and successfully implement a targeted method for recovering specific ancient DNA sequences from metagenomic libraries. This initial analysis of the Neanderthal genome advances our understanding of the evolutionary relationship of Homo sapiens and Homo neanderthalensis and signifies the dawn of Neanderthal genomics. PMID:17110569

  4. Optimizing cancer genome sequencing and analysis

    PubMed Central

    Griffith, Malachi; Miller, Christopher A.; Griffith, Obi L.; Krysiak, Kilannin; Skidmore, Zachary L.; Ramu, Avinash; Walker, Jason R.; Dang, Ha X.; Trani, Lee; Larson, David E.; Demeter, Ryan T.; Wendl, Michael C.; McMichael, Joshua F.; Austin, Rachel E.; Magrini, Vincent; McGrath, Sean D.; Ly, Amy; Kulkarni, Shashikant; Cordes, Matthew G.; Fronick, Catrina C.; Fulton, Robert S.; Maher, Christopher A.; Ding, Li; Klco, Jeffery M.; Mardis, Elaine R.; Ley, Timothy J.; Wilson, Richard K.

    2015-01-01

    Summary Tumors are typically sequenced to depths of 75–100× (exome) or 30–50× (whole genome). We demonstrate that current sequencing paradigms are inadequate for tumors that are impure, aneuploid or clonally heterogeneous. To reassess optimal sequencing strategies, we performed ultra-deep (up to ~312×) whole genome sequencing (WGS) and exome capture (up to ~433×) of a primary acute myeloid leukemia, its subsequent relapse, and a matched normal skin sample. We tested multiple alignment and variant calling algorithms and validated ~200,000 putative SNVs by sequencing them to depths of ~1,000×. Additional targeted sequencing provided over 10,000× coverage and ddPCR assays provided up to ~250,000× sampling of selected sites. We evaluated the effects of different library generation approaches, depth of sequencing, and analysis strategies on the ability to effectively characterize a complex tumor. This dataset, representing the most comprehensively sequenced tumor described to date, will serve as an invaluable community resource (dbGaP accession id phs000159). PMID:26645048

  5. RSAT 2015: Regulatory Sequence Analysis Tools.

    PubMed

    Medina-Rivera, Alejandra; Defrance, Matthieu; Sand, Olivier; Herrmann, Carl; Castro-Mondragon, Jaime A; Delerce, Jeremy; Jaeger, Sébastien; Blanchet, Christophe; Vincens, Pierre; Caron, Christophe; Staines, Daniel M; Contreras-Moreira, Bruno; Artufel, Marie; Charbonnier-Khamvongsa, Lucie; Hernandez, Céline; Thieffry, Denis; Thomas-Chollier, Morgane; van Helden, Jacques

    2015-07-01

    RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding motif analysis (quality assessment, comparisons and clustering), (iii) comparative genomics and (iv) analysis of regulatory variations. Nine new programs have been added to the 43 described in the 2011 NAR Web Software Issue, including a tool to extract sequences from a list of coordinates (fetch-sequences from UCSC), novel programs dedicated to the analysis of regulatory variants from GWAS or population genomics (retrieve-variation-seq and variation-scan), a program to cluster motifs and visualize the similarities as trees (matrix-clustering). To deal with the drastic increase of sequenced genomes, RSAT public sites have been reorganized into taxon-specific servers. The suite is well-documented with tutorials and published protocols. The software suite is available through Web sites, SOAP/WSDL Web services, virtual machines and stand-alone programs at http://www.rsat.eu/.

  6. RSAT 2015: Regulatory Sequence Analysis Tools

    PubMed Central

    Medina-Rivera, Alejandra; Defrance, Matthieu; Sand, Olivier; Herrmann, Carl; Castro-Mondragon, Jaime A.; Delerce, Jeremy; Jaeger, Sébastien; Blanchet, Christophe; Vincens, Pierre; Caron, Christophe; Staines, Daniel M.; Contreras-Moreira, Bruno; Artufel, Marie; Charbonnier-Khamvongsa, Lucie; Hernandez, Céline; Thieffry, Denis; Thomas-Chollier, Morgane; van Helden, Jacques

    2015-01-01

    RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding motif analysis (quality assessment, comparisons and clustering), (iii) comparative genomics and (iv) analysis of regulatory variations. Nine new programs have been added to the 43 described in the 2011 NAR Web Software Issue, including a tool to extract sequences from a list of coordinates (fetch-sequences from UCSC), novel programs dedicated to the analysis of regulatory variants from GWAS or population genomics (retrieve-variation-seq and variation-scan), a program to cluster motifs and visualize the similarities as trees (matrix-clustering). To deal with the drastic increase of sequenced genomes, RSAT public sites have been reorganized into taxon-specific servers. The suite is well-documented with tutorials and published protocols. The software suite is available through Web sites, SOAP/WSDL Web services, virtual machines and stand-alone programs at http://www.rsat.eu/. PMID:25904632

  7. RSAT 2015: Regulatory Sequence Analysis Tools.

    PubMed

    Medina-Rivera, Alejandra; Defrance, Matthieu; Sand, Olivier; Herrmann, Carl; Castro-Mondragon, Jaime A; Delerce, Jeremy; Jaeger, Sébastien; Blanchet, Christophe; Vincens, Pierre; Caron, Christophe; Staines, Daniel M; Contreras-Moreira, Bruno; Artufel, Marie; Charbonnier-Khamvongsa, Lucie; Hernandez, Céline; Thieffry, Denis; Thomas-Chollier, Morgane; van Helden, Jacques

    2015-07-01

    RSAT (Regulatory Sequence Analysis Tools) is a modular software suite for the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, appropriate to genome-wide data sets like ChIP-seq, (ii) transcription factor binding motif analysis (quality assessment, comparisons and clustering), (iii) comparative genomics and (iv) analysis of regulatory variations. Nine new programs have been added to the 43 described in the 2011 NAR Web Software Issue, including a tool to extract sequences from a list of coordinates (fetch-sequences from UCSC), novel programs dedicated to the analysis of regulatory variants from GWAS or population genomics (retrieve-variation-seq and variation-scan), a program to cluster motifs and visualize the similarities as trees (matrix-clustering). To deal with the drastic increase of sequenced genomes, RSAT public sites have been reorganized into taxon-specific servers. The suite is well-documented with tutorials and published protocols. The software suite is available through Web sites, SOAP/WSDL Web services, virtual machines and stand-alone programs at http://www.rsat.eu/. PMID:25904632

  8. Phylogenetic analysis of adenovirus sequences.

    PubMed

    Harrach, Balázs; Benko, Mária

    2007-01-01

    Members of the family Adenoviridae have been isolated from a large variety of hosts, including representatives from every major vertebrate class from fish to mammals. The high prevalence, together with the fairly conserved organization of the central part of their genomes, make the adenoviruses one of (if not the) best models for studying viral evolution on a larger time scale. Phylogenetic calculation can infer the evolutionary distance among adenovirus strains on serotype, species, and genus levels, thus helping the establishment of a correct taxonomy on the one hand, and speeding up the process of typing new isolates on the other. Initially, four major lineages corresponding to four genera were recognized. Later, the demarcation criteria of lower taxon levels, such as species or types, could also be defined with phylogenetic calculations. A limited number of possible host switches have been hypothesized and convincingly supported. Application of the web-based BLAST and MultAlin programs and the freely available PHYLIP package, along with the TreeView program, enables everyone to make correct calculations. In addition to step-by-step instruction on how to perform phylogenetic analysis, critical points where typical mistakes or misinterpretation of the results might occur will be identified and hints for their avoidance will be provided. PMID:17656792

  9. Phylogenetic analysis of adenovirus sequences.

    PubMed

    Harrach, Balázs; Benko, Mária

    2007-01-01

    Members of the family Adenoviridae have been isolated from a large variety of hosts, including representatives from every major vertebrate class from fish to mammals. The high prevalence, together with the fairly conserved organization of the central part of their genomes, make the adenoviruses one of (if not the) best models for studying viral evolution on a larger time scale. Phylogenetic calculation can infer the evolutionary distance among adenovirus strains on serotype, species, and genus levels, thus helping the establishment of a correct taxonomy on the one hand, and speeding up the process of typing new isolates on the other. Initially, four major lineages corresponding to four genera were recognized. Later, the demarcation criteria of lower taxon levels, such as species or types, could also be defined with phylogenetic calculations. A limited number of possible host switches have been hypothesized and convincingly supported. Application of the web-based BLAST and MultAlin programs and the freely available PHYLIP package, along with the TreeView program, enables everyone to make correct calculations. In addition to step-by-step instruction on how to perform phylogenetic analysis, critical points where typical mistakes or misinterpretation of the results might occur will be identified and hints for their avoidance will be provided.

  10. Sequence analysis by iterated maps, a review.

    PubMed

    Almeida, Jonas S

    2014-05-01

    Among alignment-free methods, Iterated Maps (IMs) are on a particular extreme: they are also scale free (order free). The use of IMs for sequence analysis is also distinct from other alignment-free methodologies in being rooted in statistical mechanics instead of computational linguistics. Both of these roots go back over two decades to the use of fractal geometry in the characterization of phase-space representations. The time series analysis origin of the field is betrayed by the title of the manuscript that started this alignment-free subdomain in 1990, 'Chaos Game Representation'. The clash between the analysis of sequences as continuous series and the better established use of Markovian approaches to discrete series was almost immediate, with a defining critique published in same journal 2 years later. The rest of that decade would go by before the scale-free nature of the IM space was uncovered. The ensuing decade saw this scalability generalized for non-genomic alphabets as well as an interest in its use for graphic representation of biological sequences. Finally, in the past couple of years, in step with the emergence of BigData and MapReduce as a new computational paradigm, there is a surprising third act in the IM story. Multiple reports have described gains in computational efficiency of multiple orders of magnitude over more conventional sequence analysis methodologies. The stage appears to be now set for a recasting of IMs with a central role in processing nextgen sequencing results.

  11. Sequence analysis by iterated maps, a review.

    PubMed

    Almeida, Jonas S

    2014-05-01

    Among alignment-free methods, Iterated Maps (IMs) are on a particular extreme: they are also scale free (order free). The use of IMs for sequence analysis is also distinct from other alignment-free methodologies in being rooted in statistical mechanics instead of computational linguistics. Both of these roots go back over two decades to the use of fractal geometry in the characterization of phase-space representations. The time series analysis origin of the field is betrayed by the title of the manuscript that started this alignment-free subdomain in 1990, 'Chaos Game Representation'. The clash between the analysis of sequences as continuous series and the better established use of Markovian approaches to discrete series was almost immediate, with a defining critique published in same journal 2 years later. The rest of that decade would go by before the scale-free nature of the IM space was uncovered. The ensuing decade saw this scalability generalized for non-genomic alphabets as well as an interest in its use for graphic representation of biological sequences. Finally, in the past couple of years, in step with the emergence of BigData and MapReduce as a new computational paradigm, there is a surprising third act in the IM story. Multiple reports have described gains in computational efficiency of multiple orders of magnitude over more conventional sequence analysis methodologies. The stage appears to be now set for a recasting of IMs with a central role in processing nextgen sequencing results. PMID:24162172

  12. Dissociation Behavior of a TEMPO-Active Ester Cross-Linker for Peptide Structure Analysis by Free Radical Initiated Peptide Sequencing (FRIPS) in Negative ESI-MS

    NASA Astrophysics Data System (ADS)

    Hage, Christoph; Ihling, Christian H.; Götze, Michael; Schäfer, Mathias; Sinz, Andrea

    2016-07-01

    We have synthesized a homobifunctional amine-reactive cross-linking reagent, containing a TEMPO (2,2,6,6-tetramethylpiperidine-1-oxy) and a benzyl group (Bz), termed TEMPO-Bz-linker, to derive three-dimensional structural information of proteins. The aim for designing this novel cross-linker was to facilitate the mass spectrometric analysis of cross-linked products by free radical initiated peptide sequencing (FRIPS). In an initial study, we had investigated the fragmentation behavior of TEMPO-Bz-derivatized peptides upon collision activation in (+)-electrospray ionization collision-induced dissociation tandem mass spectrometry (ESI-CID-MS/MS) experiments. In addition to the homolytic NO-C bond cleavage FRIPS pathway delivering the desired odd-electron product ions, an alternative heterolytic NO-C bond cleavage, resulting in even-electron product ions mechanism was found to be relevant. The latter fragmentation route clearly depends on the protonation of the TEMPO-Bz-moiety itself, which motivated us to conduct (-)-ESI-MS, CID-MS/MS, and MS3 experiments of TEMPO-Bz-cross-linked peptides to further clarify the fragmentation behavior of TEMPO-Bz-peptide molecular ions. We show that the TEMPO-Bz-linker is highly beneficial for conducting FRIPS in negative ionization mode as the desired homolytic cleavage of the NO-C bond is the major fragmentation pathway. Based on characteristic fragments, the isomeric amino acids leucine and isoleucine could be discriminated. Interestingly, we observed pronounced amino acid side chain losses in cross-linked peptides if the cross-linked peptides contain a high number of acidic amino acids.

  13. Cladistic analysis of anuran POMC sequences.

    PubMed

    Alrubaian, Jasem; Danielson, Phillip; Walker, David; Dores, Robert M

    2002-03-01

    Procedures for performing cladistic analyses can provide powerful tools for understanding the evolution of neuropeptide and polypeptide hormone coding genes. These analyses can be done on either amino acid data sets or nucleotide data sets and can utilize several different algorithms that are dependent on distinct sets of operating assumptions and constraints. In some cases, the results of these analyses can be used to gauge phylogenetic relationships between taxa. Selecting the proper cladistic analysis strategy is dependent on the taxonomic level of analysis and the rate of evolution within the orthologous genes being evaluated. For example, previous studies have shown that the amino acid sequence of proopiomelanocortin (POMC), the common precursor for the melanocortins and beta-endorphin, can be used to resolve phylogenetic relationships at the class and order level. This study tested the hypothesis that POMC sequences could be used to resolve phylogenetic relationships at the family taxonomic level. Cladistic analyses were performed on amphibian POMC sequences characterized from the marine toad, Bufo marinus (family Bufonidae; this study), the spadefoot toad, Spea multiplicatus (family Pelobatidae), the African clawed frog, Xenopus laevis (family Pipidae) and the laughing frog, Rana ridibunda (family Ranidae). In these analyses the sequence of Australian lungfish POMC was used as the outgroup. The analyses were done at the amino acid level using the maximum parsimony algorithm and at the nucleotide level using the maximum likelihood algorithm. For the anuran POMC genes, analysis at the nucleotide level using the maximum likelihood algorithm generated a cladogram with higher bootstrap values than the maximum parsimony analysis of the POMC amino acid data set. For anuran POMC sequences, analysis of nucleotide sequences using the maximum likelihood algorithm would appear to be the preferred strategy for resolving phylogenetic relationships at the family taxonomic

  14. Sequence and comparative genomic analysis of actin-related proteins.

    PubMed

    Muller, Jean; Oma, Yukako; Vallar, Laurent; Friederich, Evelyne; Poch, Olivier; Winsor, Barbara

    2005-12-01

    Actin-related proteins (ARPs) are key players in cytoskeleton activities and nuclear functions. Two complexes, ARP2/3 and ARP1/11, also known as dynactin, are implicated in actin dynamics and in microtubule-based trafficking, respectively. ARP4 to ARP9 are components of many chromatin-modulating complexes. Conventional actins and ARPs codefine a large family of homologous proteins, the actin superfamily, with a tertiary structure known as the actin fold. Because ARPs and actin share high sequence conservation, clear family definition requires distinct features to easily and systematically identify each subfamily. In this study we performed an in depth sequence and comparative genomic analysis of ARP subfamilies. A high-quality multiple alignment of approximately 700 complete protein sequences homologous to actin, including 148 ARP sequences, allowed us to extend the ARP classification to new organisms. Sequence alignments revealed conserved residues, motifs, and inserted sequence signatures to define each ARP subfamily. These discriminative characteristics allowed us to develop ARPAnno (http://bips.u-strasbg.fr/ARPAnno), a new web server dedicated to the annotation of ARP sequences. Analyses of sequence conservation among actins and ARPs highlight part of the actin fold and suggest interactions between ARPs and actin-binding proteins. Finally, analysis of ARP distribution across eukaryotic phyla emphasizes the central importance of nuclear ARPs, particularly the multifunctional ARP4.

  15. Sequence analysis of the AAA protein family.

    PubMed Central

    Beyer, A.

    1997-01-01

    The AAA protein family, a recently recognized group of Walker-type ATPases, has been subjected to an extensive sequence analysis. Multiple sequence alignments revealed the existence of a region of sequence similarity, the so-called AAA cassette. The borders of this cassette were localized and within it, three boxes of a high degree of conservation were identified. Two of these boxes could be assigned to substantial parts of the ATP binding site (namely, to Walker motifs A and B); the third may be a portion of the catalytic center. Phylogenetic trees were calculated to obtain insights into the evolutionary history of the family. Subfamilies with varying degrees of intra-relatedness could be discriminated; these relationships are also supported by analysis of sequences outside the canonical AAA boxes: within the cassette are regions that are strongly conserved within each subfamily, whereas little or even no similarity between different subfamilies can be observed. These regions are well suited to define fingerprints for subfamilies. A secondary structure prediction utilizing all available sequence information was performed and the result was fitted to the general 3D structure of a Walker A/GTPase. The agreement was unexpectedly high and strongly supports the conclusion that the AAA family belongs to the Walker superfamily of A/GTPases. PMID:9336829

  16. Deep Sequencing Analysis of Nucleolar Small RNAs: Bioinformatics.

    PubMed

    Bai, Baoyan; Laiho, Marikki

    2016-01-01

    Small RNAs (size 20-30 nt) of various types have been actively investigated in recent years, and their subcellular compartmentalization and relative concentrations are likely to be of importance to their cellular and physiological functions. Comprehensive data on this subset of the transcriptome can only be obtained by application of high-throughput sequencing, which yields data that are inherently complex and multidimensional, as sequence composition, length, and abundance will all inform to the small RNA function. Subsequent data analysis, hypothesis testing, and presentation/visualization of the results are correspondingly challenging. We have constructed small RNA libraries derived from different cellular compartments, including the nucleolus, and asked whether small RNAs exist in the nucleolus and whether they are distinct from cytoplasmic and nuclear small RNAs, the miRNAs. Here, we present a workflow for analysis of small RNA sequencing data generated by the Ion Torrent PGM sequencer from samples derived from different cellular compartments. PMID:27576724

  17. Information theory applications for biological sequence analysis.

    PubMed

    Vinga, Susana

    2014-05-01

    Information theory (IT) addresses the analysis of communication systems and has been widely applied in molecular biology. In particular, alignment-free sequence analysis and comparison greatly benefited from concepts derived from IT, such as entropy and mutual information. This review covers several aspects of IT applications, ranging from genome global analysis and comparison, including block-entropy estimation and resolution-free metrics based on iterative maps, to local analysis, comprising the classification of motifs, prediction of transcription factor binding sites and sequence characterization based on linguistic complexity and entropic profiles. IT has also been applied to high-level correlations that combine DNA, RNA or protein features with sequence-independent properties, such as gene mapping and phenotype analysis, and has also provided models based on communication systems theory to describe information transmission channels at the cell level and also during evolutionary processes. While not exhaustive, this review attempts to categorize existing methods and to indicate their relation with broader transversal topics such as genomic signatures, data compression and complexity, time series analysis and phylogenetic classification, providing a resource for future developments in this promising area.

  18. The 2012 August 11 MW 6.5, 6.4 Ahar-Varzghan earthquakes, NW Iran: aftershock sequence analysis and evidence for activity migration

    NASA Astrophysics Data System (ADS)

    Rezapour, Mehdi

    2016-02-01

    The Ahar-Varzghan doublet earthquakes with magnitudes MW 6.5 and 6.4 occurred on 2012 August 11 in northwest Iran and were followed by many aftershocks. In this paper, we analyse ˜5 months of aftershocks of these events. The Ahar-Varzghan earthquakes occurred along complex faults and provide a new constraint on the earthquake hazard in northwest Iran. The general pattern of relocated aftershocks defines a complex seismic zone covering an area of approximately 25 × 10 km2. The Ahar-Varzghan aftershock sequence shows a secondary activity which started on November 7, approximately 3 months after the main shocks, with a significant increase in activity, regarding both number of events and their magnitude. This stage was characterized by a seismic zone that propagated to the west of the main shocks. The catalogue of aftershocks for the doublet earthquake has a magnitude completeness of Mc 2.0. A below-average b-value for the Ahar-Varzghan sequence indicates a structural heterogeneity in the fault plane and the compressive stress state of the region. Relocated aftershocks occupy a broad zone clustering east-west with near-vertical dip which we interpret as the fault plane of the first of the doublet main shocks (MW 6.5). The dominant depth range of the aftershocks is from 3 to about 20 km, and the focal depths decrease toward the western part of the fault. The aftershock activity has its highest concentration in the eastern and middle parts of the active fault, and tapers off toward the western part of the active fault segment, indicating mainly a unilateral rupture toward west.

  19. Sequence analysis by iterated maps, a review

    PubMed Central

    2014-01-01

    Among alignment-free methods, Iterated Maps (IMs) are on a particular extreme: they are also scale free (order free). The use of IMs for sequence analysis is also distinct from other alignment-free methodologies in being rooted in statistical mechanics instead of computational linguistics. Both of these roots go back over two decades to the use of fractal geometry in the characterization of phase-space representations. The time series analysis origin of the field is betrayed by the title of the manuscript that started this alignment-free subdomain in 1990, ‘Chaos Game Representation’. The clash between the analysis of sequences as continuous series and the better established use of Markovian approaches to discrete series was almost immediate, with a defining critique published in same journal 2 years later. The rest of that decade would go by before the scale-free nature of the IM space was uncovered. The ensuing decade saw this scalability generalized for non-genomic alphabets as well as an interest in its use for graphic representation of biological sequences. Finally, in the past couple of years, in step with the emergence of BigData and MapReduce as a new computational paradigm, there is a surprising third act in the IM story. Multiple reports have described gains in computational efficiency of multiple orders of magnitude over more conventional sequence analysis methodologies. The stage appears to be now set for a recasting of IMs with a central role in processing nextgen sequencing results. PMID:24162172

  20. Analysis of cis-sequence of subgenomic transcript promoter from the Figwort mosaic virus and comparison of promoter activity with the cauliflower mosaic virus promoters in monocot and dicot cells.

    PubMed

    Bhattacharyya, Somnath; Dey, Nrisingha; Maiti, Indu B

    2002-12-01

    A sub-genomic transcript (Sgt) promoter was isolated from the Figwort mosaic virus (FMV) genomic clone. The FMV Sgt promoter was linked to heterologous coding sequences to form a chimeric gene construct. The 5'-3'-boundaries required for maximal activity and involvement of cis-sequences for optimal expression in plants were defined by 5'-, 3'-end deletion and internal deletion analysis of FMV Sgt promoter fragments coupled with a beta-glucuronidase reporter gene in both transient protoplast expression experiments and in transgenic plants. A 301 bp FMV Sgt promoter fragment (sequence -270 to +31 from the transcription start site; TSS) provided maximum promoter activity. The TSS of the FMV Sgt promoter was determined by primer extension analysis using total RNA from transgenic plants developed for FMV Sgt promoter: uidA fusion gene. An activator domain located upstream of the TATA box at -70 to -100 from TSS is absolutely required for promoter activity and its function is critically position-dependent with respect to TATA box. Two sequence motifs AGATTTTAAT (coordinates -100 to -91) and GTAAGCGC (coordinates -80 to -73) were found to be essential for promoter activity. The FMV Sgt promoter is less active in monocot cells; FMV Sgt promoter expression level was about 27.5-fold higher in tobacco cells compared to that in maize cells. Comparative expression analysis of FMV Sgt promoter with cauliflower mosaic virus (CaMV) 35S promoter showed that the FMV Sgt promoter is about 2-fold stronger than the CaMV 35S promoter. The FMV Sgt promoter is a constitutive promoter; expression level in seedlings was in the order: root>leaf>stem.

  1. NexGen Production – Sequencing and Analysis

    SciTech Connect

    Muzny, Donna

    2010-06-02

    Donna Muzny of the Baylor College of Medicine Human Genome Sequencing Center discusses next generation sequencing platforms and evaluating pipeline performance on June 2, 2010 at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM

  2. An RNA Sequencing Transcriptome Analysis Reveals Novel Insights into Molecular Aspects of the Nitrate Impact on the Nodule Activity of Medicago truncatula1[W

    PubMed Central

    Cabeza, Ricardo; Koester, Beke; Liese, Rebecca; Lingner, Annika; Baumgarten, Vanessa; Dirks, Jan; Salinas-Riester, Gabriela; Pommerenke, Claudia; Dittert, Klaus; Schulze, Joachim

    2014-01-01

    The mechanism through which nitrate reduces the activity of legume nodules is controversial. The objective of the study was to follow Medicago truncatula nodule activity after nitrate provision continuously and to identify molecular mechanisms, which down-regulate the activity of the nodules. Nodule H2 evolution started to decline after about 4 h of nitrate application. At that point in time, a strong shift in nodule gene expression (RNA sequencing) had occurred (1,120 differentially expressed genes). The most pronounced effect was the down-regulation of 127 genes for nodule-specific cysteine-rich peptides. Various other nodulins were also strongly down-regulated, in particular all the genes for leghemoglobins. In addition, shifts in the expression of genes involved in cellular iron allocation and mitochondrial ATP synthesis were observed. Furthermore, the expression of numerous genes for the formation of proteins and glycoproteins with no obvious function in nodules (e.g. germins, patatin, and thaumatin) was strongly increased. This occurred in conjunction with an up-regulation of genes for proteinase inhibitors, in particular those containing the Kunitz domain. The additionally formed proteins might possibly be involved in reducing nodule oxygen permeability. Between 4 and 28 h of nitrate exposure, a further reduction in nodule activity occurred, and the number of differentially expressed genes almost tripled. In particular, there was a differential expression of genes connected with emerging senescence. It is concluded that nitrate exerts rapid and manifold effects on nitrogenase activity. A certain degree of nitrate tolerance might be achieved when the down-regulatory effect on late nodulins can be alleviated. PMID:24285852

  3. Protein sequence analysis using Hewlett-Packard biphasic sequencing cartridges in an applied biosystems 473A protein sequencer.

    PubMed

    Tang, S; Mozdzanowski, J; Anumula, K R

    1999-01-01

    Protein sequence analysis using an adsorptive biphasic sequencing cartridge, a set of two coupled columns introduced by Hewlett-Packard for protein sequencing by Edman degradation, in an Applied Biosystems 473A protein sequencer has been demonstrated. Samples containing salts, detergents, excipients, etc. (e.g., formulated protein drugs) can be easily analyzed using the ABI sequencer. Simple modifications to the ABI sequencer to accommodate the cartridge extend its utility in the analysis of difficult samples. The ABI sequencer solvents and reagents were compatible with the HP cartridge for sequencing. Sequence information up to ten residues can be easily generated by this nonoptimized procedure, and it is sufficient for identifying proteins by database search and for preparing a DNA probe for cloning novel proteins.

  4. Analysis of Pteridium ribosomal RNA sequences by rapid direct sequencing.

    PubMed

    Tan, M K

    1991-08-01

    A total of 864 bases from 5 regions interspersed in the 18S and 26S rRNA molecules from various clones of Pteridium covering the general geographical distribution of the genus was analysed using a rapid rRNA sequencing technique. No base difference has been detected amongst the three major lineages, two of which apparently separated before the breakup of the ancient supercontinent, Pangaea. These regions of the rRNA sequences have thus been conserved for at least 160 million years and are here compared with other eukaryotic, especially plant rRNAs.

  5. Integrating Sequence Evolution into Probabilistic Orthology Analysis.

    PubMed

    Ullah, Ikram; Sjöstrand, Joel; Andersson, Peter; Sennblad, Bengt; Lagergren, Jens

    2015-11-01

    Orthology analysis, that is, finding out whether a pair of homologous genes are orthologs - stemming from a speciation - or paralogs - stemming from a gene duplication - is of central importance in computational biology, genome annotation, and phylogenetic inference. In particular, an orthologous relationship makes functional equivalence of the two genes highly likely. A major approach to orthology analysis is to reconcile a gene tree to the corresponding species tree, (most commonly performed using the most parsimonious reconciliation, MPR). However, most such phylogenetic orthology methods infer the gene tree without considering the constraints implied by the species tree and, perhaps even more importantly, only allow the gene sequences to influence the orthology analysis through the a priori reconstructed gene tree. We propose a sound, comprehensive Bayesian Markov chain Monte Carlo-based method, DLRSOrthology, to compute orthology probabilities. It efficiently sums over the possible gene trees and jointly takes into account the current gene tree, all possible reconciliations to the species tree, and the, typically strong, signal conveyed by the sequences. We compare our method with PrIME-GEM, a probabilistic orthology approach built on a probabilistic duplication-loss model, and MrBayesMPR, a probabilistic orthology approach that is based on conventional Bayesian inference coupled with MPR. We find that DLRSOrthology outperforms these competing approaches on synthetic data as well as on biological data sets and is robust to incomplete taxon sampling artifacts. PMID:26130236

  6. Multilocus sequence analysis (MLSA) in prokaryotic taxonomy.

    PubMed

    Glaeser, Stefanie P; Kämpfer, Peter

    2015-06-01

    To obtain a higher resolution of the phylogenetic relationships of species within a genus or genera within a family, multilocus sequence analysis (MLSA) is currently a widely used method. In MLSA studies, partial sequences of genes coding for proteins with conserved functions ('housekeeping genes') are used to generate phylogenetic trees and subsequently deduce phylogenies. However, MLSA is not only suggested as a phylogenetic tool to support and clarify the resolution of bacterial species with a higher resolution, as in 16S rRNA gene-based studies, but has also been discussed as a replacement for DNA-DNA hybridization (DDH) in species delineation. Nevertheless, despite the fact that MLSA has become an accepted and widely used method in prokaryotic taxonomy, no common generally accepted recommendations have been devised to date for either the whole area of microbial taxonomy or for taxa-specific applications of individual MLSA schemes. The different ways MLSA is performed can vary greatly for the selection of genes, their number, and the calculation method used when comparing the sequences obtained. Here, we provide an overview of the historical development of MLSA and critically review its current application in prokaryotic taxonomy by highlighting the advantages and disadvantages of the method's numerous variations. This provides a perspective for its future use in forthcoming genome-based genotypic taxonomic analyses.

  7. Mesoscopic Patterns of Neural Activity Support Songbird Cortical Sequences

    PubMed Central

    Guitchounts, Grigori; Velho, Tarciso; Lois, Carlos; Gardner, Timothy J.

    2015-01-01

    Time-locked sequences of neural activity can be found throughout the vertebrate forebrain in various species and behavioral contexts. From “time cells” in the hippocampus of rodents to cortical activity controlling movement, temporal sequence generation is integral to many forms of learned behavior. However, the mechanisms underlying sequence generation are not well known. Here, we describe a spatial and temporal organization of the songbird premotor cortical microcircuit that supports sparse sequences of neural activity. Multi-channel electrophysiology and calcium imaging reveal that neural activity in premotor cortex is correlated with a length scale of 100 µm. Within this length scale, basal-ganglia–projecting excitatory neurons, on average, fire at a specific phase of a local 30 Hz network rhythm. These results show that premotor cortical activity is inhomogeneous in time and space, and that a mesoscopic dynamical pattern underlies the generation of the neural sequences controlling song. PMID:26039895

  8. FAST: FAST Analysis of Sequences Toolbox

    PubMed Central

    Lawrence, Travis J.; Kauffman, Kyle T.; Amrine, Katherine C. H.; Carper, Dana L.; Lee, Raymond S.; Becich, Peter J.; Canales, Claudia J.; Ardell, David H.

    2015-01-01

    FAST (FAST Analysis of Sequences Toolbox) provides simple, powerful open source command-line tools to filter, transform, annotate and analyze biological sequence data. Modeled after the GNU (GNU's Not Unix) Textutils such as grep, cut, and tr, FAST tools such as fasgrep, fascut, and fastr make it easy to rapidly prototype expressive bioinformatic workflows in a compact and generic command vocabulary. Compact combinatorial encoding of data workflows with FAST commands can simplify the documentation and reproducibility of bioinformatic protocols, supporting better transparency in biological data science. Interface self-consistency and conformity with conventions of GNU, Matlab, Perl, BioPerl, R, and GenBank help make FAST easy and rewarding to learn. FAST automates numerical, taxonomic, and text-based sorting, selection and transformation of sequence records and alignment sites based on content, index ranges, descriptive tags, annotated features, and in-line calculated analytics, including composition and codon usage. Automated content- and feature-based extraction of sites and support for molecular population genetic statistics make FAST useful for molecular evolutionary analysis. FAST is portable, easy to install and secure thanks to the relative maturity of its Perl and BioPerl foundations, with stable releases posted to CPAN. Development as well as a publicly accessible Cookbook and Wiki are available on the FAST GitHub repository at https://github.com/tlawrence3/FAST. The default data exchange format in FAST is Multi-FastA (specifically, a restriction of BioPerl FastA format). Sanger and Illumina 1.8+ FastQ formatted files are also supported. FAST makes it easier for non-programmer biologists to interactively investigate and control biological data at the speed of thought. PMID:26042145

  9. Bayesian Correlation Analysis for Sequence Count Data

    PubMed Central

    Lau, Nelson; Perkins, Theodore J.

    2016-01-01

    Evaluating the similarity of different measured variables is a fundamental task of statistics, and a key part of many bioinformatics algorithms. Here we propose a Bayesian scheme for estimating the correlation between different entities’ measurements based on high-throughput sequencing data. These entities could be different genes or miRNAs whose expression is measured by RNA-seq, different transcription factors or histone marks whose expression is measured by ChIP-seq, or even combinations of different types of entities. Our Bayesian formulation accounts for both measured signal levels and uncertainty in those levels, due to varying sequencing depth in different experiments and to varying absolute levels of individual entities, both of which affect the precision of the measurements. In comparison with a traditional Pearson correlation analysis, we show that our Bayesian correlation analysis retains high correlations when measurement confidence is high, but suppresses correlations when measurement confidence is low—especially for entities with low signal levels. In addition, we consider the influence of priors on the Bayesian correlation estimate. Perhaps surprisingly, we show that naive, uniform priors on entities’ signal levels can lead to highly biased correlation estimates, particularly when different experiments have widely varying sequencing depths. However, we propose two alternative priors that provably mitigate this problem. We also prove that, like traditional Pearson correlation, our Bayesian correlation calculation constitutes a kernel in the machine learning sense, and thus can be used as a similarity measure in any kernel-based machine learning algorithm. We demonstrate our approach on two RNA-seq datasets and one miRNA-seq dataset. PMID:27701449

  10. FAST: FAST Analysis of Sequences Toolbox.

    PubMed

    Lawrence, Travis J; Kauffman, Kyle T; Amrine, Katherine C H; Carper, Dana L; Lee, Raymond S; Becich, Peter J; Canales, Claudia J; Ardell, David H

    2015-01-01

    FAST (FAST Analysis of Sequences Toolbox) provides simple, powerful open source command-line tools to filter, transform, annotate and analyze biological sequence data. Modeled after the GNU (GNU's Not Unix) Textutils such as grep, cut, and tr, FAST tools such as fasgrep, fascut, and fastr make it easy to rapidly prototype expressive bioinformatic workflows in a compact and generic command vocabulary. Compact combinatorial encoding of data workflows with FAST commands can simplify the documentation and reproducibility of bioinformatic protocols, supporting better transparency in biological data science. Interface self-consistency and conformity with conventions of GNU, Matlab, Perl, BioPerl, R, and GenBank help make FAST easy and rewarding to learn. FAST automates numerical, taxonomic, and text-based sorting, selection and transformation of sequence records and alignment sites based on content, index ranges, descriptive tags, annotated features, and in-line calculated analytics, including composition and codon usage. Automated content- and feature-based extraction of sites and support for molecular population genetic statistics make FAST useful for molecular evolutionary analysis. FAST is portable, easy to install and secure thanks to the relative maturity of its Perl and BioPerl foundations, with stable releases posted to CPAN. Development as well as a publicly accessible Cookbook and Wiki are available on the FAST GitHub repository at https://github.com/tlawrence3/FAST. The default data exchange format in FAST is Multi-FastA (specifically, a restriction of BioPerl FastA format). Sanger and Illumina 1.8+ FastQ formatted files are also supported. FAST makes it easier for non-programmer biologists to interactively investigate and control biological data at the speed of thought.

  11. Integrative visual analysis of protein sequence mutations

    PubMed Central

    2014-01-01

    Background An important aspect of studying the relationship between protein sequence, structure and function is the molecular characterization of the effect of protein mutations. To understand the functional impact of amino acid changes, the multiple biological properties of protein residues have to be considered together. Results Here, we present a novel visual approach for analyzing residue mutations. It combines different biological visualizations and integrates them with molecular data derived from external resources. To show various aspects of the biological information on different scales, our approach includes one-dimensional sequence views, three-dimensional protein structure views and two-dimensional views of residue interaction networks as well as aggregated views. The views are linked tightly and synchronized to reduce the cognitive load of the user when switching between them. In particular, the protein mutations are mapped onto the views together with further functional and structural information. We also assess the impact of individual amino acid changes by the detailed analysis and visualization of the involved residue interactions. We demonstrate the effectiveness of our approach and the developed software on the data provided for the BioVis 2013 data contest. Conclusions Our visual approach and software greatly facilitate the integrative and interactive analysis of protein mutations based on complementary visualizations. The different data views offered to the user are enriched with information about molecular properties of amino acid residues and further biological knowledge. PMID:25237389

  12. Whole genome sequence analysis of Mycobacterium suricattae.

    PubMed

    Dippenaar, Anzaan; Parsons, Sven David Charles; Sampson, Samantha Leigh; van der Merwe, Ruben Gerhard; Drewe, Julian Ashley; Abdallah, Abdallah Musa; Siame, Kabengele Keith; Gey van Pittius, Nicolaas Claudius; van Helden, Paul David; Pain, Arnab; Warren, Robin Mark

    2015-12-01

    Tuberculosis occurs in various mammalian hosts and is caused by a range of different lineages of the Mycobacterium tuberculosis complex (MTBC). A recently described member, Mycobacterium suricattae, causes tuberculosis in meerkats (Suricata suricatta) in Southern Africa and preliminary genetic analysis showed this organism to be closely related to an MTBC pathogen of rock hyraxes (Procavia capensis), the dassie bacillus. Here we make use of whole genome sequencing to describe the evolution of the genome of M. suricattae, including known and novel regions of difference, SNPs and IS6110 insertion sites. We used genome-wide phylogenetic analysis to show that M. suricattae clusters with the chimpanzee bacillus, previously isolated from a chimpanzee (Pan troglodytes) in West Africa. We propose an evolutionary scenario for the Mycobacterium africanum lineage 6 complex, showing the evolutionary relationship of M. africanum and chimpanzee bacillus, and the closely related members M. suricattae, dassie bacillus and Mycobacterium mungi.

  13. Whole genome sequence analysis of Mycobacterium suricattae.

    PubMed

    Dippenaar, Anzaan; Parsons, Sven David Charles; Sampson, Samantha Leigh; van der Merwe, Ruben Gerhard; Drewe, Julian Ashley; Abdallah, Abdallah Musa; Siame, Kabengele Keith; Gey van Pittius, Nicolaas Claudius; van Helden, Paul David; Pain, Arnab; Warren, Robin Mark

    2015-12-01

    Tuberculosis occurs in various mammalian hosts and is caused by a range of different lineages of the Mycobacterium tuberculosis complex (MTBC). A recently described member, Mycobacterium suricattae, causes tuberculosis in meerkats (Suricata suricatta) in Southern Africa and preliminary genetic analysis showed this organism to be closely related to an MTBC pathogen of rock hyraxes (Procavia capensis), the dassie bacillus. Here we make use of whole genome sequencing to describe the evolution of the genome of M. suricattae, including known and novel regions of difference, SNPs and IS6110 insertion sites. We used genome-wide phylogenetic analysis to show that M. suricattae clusters with the chimpanzee bacillus, previously isolated from a chimpanzee (Pan troglodytes) in West Africa. We propose an evolutionary scenario for the Mycobacterium africanum lineage 6 complex, showing the evolutionary relationship of M. africanum and chimpanzee bacillus, and the closely related members M. suricattae, dassie bacillus and Mycobacterium mungi. PMID:26542221

  14. Draft Genome Sequence Analysis of a Pseudomonas putida W15Oct28 Strain with Antagonistic Activity to Gram-Positive and Pseudomonas sp. Pathogens

    PubMed Central

    Ye, Lumeng; Hildebrand, Falk; Dingemans, Jozef; Ballet, Steven; Laus, George; Matthijs, Sandra; Berendsen, Roeland; Cornelis, Pierre

    2014-01-01

    Pseudomonas putida is a member of the fluorescent pseudomonads known to produce the yellow-green fluorescent pyoverdine siderophore. P. putida W15Oct28, isolated from a stream in Brussels, was found to produce compound(s) with antimicrobial activity against the opportunistic pathogens Staphylococcus aureus, Pseudomonas aeruginosa, and the plant pathogen Pseudomonas syringae, an unusual characteristic for P. putida. The active compound production only occurred in media with low iron content and without organic nitrogen sources. Transposon mutants which lost their antimicrobial activity had the majority of insertions in genes involved in the biosynthesis of pyoverdine, although purified pyoverdine was not responsible for the antagonism. Separation of compounds present in culture supernatants revealed the presence of two fractions containing highly hydrophobic molecules active against P. aeruginosa. Analysis of the draft genome confirmed the presence of putisolvin biosynthesis genes and the corresponding lipopeptides were found to contribute to the antimicrobial activity. One cluster of ten genes was detected, comprising a NAD-dependent epimerase, an acetylornithine aminotransferase, an acyl CoA dehydrogenase, a short chain dehydrogenase, a fatty acid desaturase and three genes for a RND efflux pump. P. putida W15Oct28 genome also contains 56 genes encoding TonB-dependent receptors, conferring a high capacity to utilize pyoverdines from other pseudomonads. One unique feature of W15Oct28 is also the presence of different secretion systems including a full set of genes for type IV secretion, and several genes for type VI secretion and their VgrG effectors. PMID:25369289

  15. Draft genome sequence analysis of a Pseudomonas putida W15Oct28 strain with antagonistic activity to Gram-positive and Pseudomonas sp. pathogens.

    PubMed

    Ye, Lumeng; Hildebrand, Falk; Dingemans, Jozef; Ballet, Steven; Laus, George; Matthijs, Sandra; Berendsen, Roeland; Cornelis, Pierre

    2014-01-01

    Pseudomonas putida is a member of the fluorescent pseudomonads known to produce the yellow-green fluorescent pyoverdine siderophore. P. putida W15Oct28, isolated from a stream in Brussels, was found to produce compound(s) with antimicrobial activity against the opportunistic pathogens Staphylococcus aureus, Pseudomonas aeruginosa, and the plant pathogen Pseudomonas syringae, an unusual characteristic for P. putida. The active compound production only occurred in media with low iron content and without organic nitrogen sources. Transposon mutants which lost their antimicrobial activity had the majority of insertions in genes involved in the biosynthesis of pyoverdine, although purified pyoverdine was not responsible for the antagonism. Separation of compounds present in culture supernatants revealed the presence of two fractions containing highly hydrophobic molecules active against P. aeruginosa. Analysis of the draft genome confirmed the presence of putisolvin biosynthesis genes and the corresponding lipopeptides were found to contribute to the antimicrobial activity. One cluster of ten genes was detected, comprising a NAD-dependent epimerase, an acetylornithine aminotransferase, an acyl CoA dehydrogenase, a short chain dehydrogenase, a fatty acid desaturase and three genes for a RND efflux pump. P. putida W15Oct28 genome also contains 56 genes encoding TonB-dependent receptors, conferring a high capacity to utilize pyoverdines from other pseudomonads. One unique feature of W15Oct28 is also the presence of different secretion systems including a full set of genes for type IV secretion, and several genes for type VI secretion and their VgrG effectors. PMID:25369289

  16. Only correlated sequences that are actively processed contribute to implicit sequence learning.

    PubMed

    Meier, Beat; Weiermann, Brigitte; Cock, Josephine

    2012-09-01

    The purpose of the study was to investigate how implicit sequence learning is affected by the presence of secondary information that is correlated with the primary sequence but not necessarily relevant to performance. In a previous work, we have shown that correlation plays an important role but other prerequisites may also be involved. In Experiments 1 and 2, using a task sequence learning paradigm, we found that primary sequence learning was not affected by secondary information that was sequenced but irrelevant to performance, even though the two streams of information were correlated. In contrast, in Experiment 3, we found that sensitivity to the main sequence was greater with the provision of extra sequenced information that was relevant to performance in addition to being correlated. This suggests that sequence learning was enhanced through the integration of information. We conclude that information in secondary as well as primary sequences must be actively processed if it is to have a beneficial impact. By actively processed we mean information that is selectively attended and necessary for carrying out the tasks.

  17. Multilocus sequence analysis of the family Halomonadaceae.

    PubMed

    de la Haba, Rafael R; Márquez, M Carmen; Papke, R Thane; Ventosa, Antonio

    2012-03-01

    Multilocus sequence analysis (MLSA) protocols have been developed for species circumscription for many taxa. However, at present, no studies based on MLSA have been performed within any moderately halophilic bacterial group. To test the usefulness of MLSA with these kinds of micro-organisms, the family Halomonadaceae, which includes mainly halophilic bacteria, was chosen as a model. This family comprises ten genera with validly published names and 85 species of environmental, biotechnological and clinical interest. In some cases, the phylogenetic relationships between members of this family, based on 16S rRNA gene sequence comparisons, are not clear and a deep phylogenetic analysis using several housekeeping genes seemed appropriate. Here, MLSA was applied using the 16S rRNA, 23S rRNA, atpA, gyrB, rpoD and secA genes for species of the family Halomonadaceae. Phylogenetic trees based on the individual and concatenated gene sequences revealed that the family Halomonadaceae formed a monophyletic group of micro-organisms within the order Oceanospirillales. With the exception of the genera Halomonas and Modicisalibacter, all other genera within this family were phylogenetically coherent. Five of the six studied genes (16S rRNA, 23S rRNA, gyrB, rpoD and secA) showed a consistent evolutionary history. However, the results obtained with the atpA gene were different; thus, this gene may not be considered useful as an individual gene phylogenetic marker within this family. The phylogenetic methods produced variable results, with those generated from the maximum-likelihood and neighbour-joining algorithms being more similar than those obtained by maximum-parsimony methods. Horizontal gene transfer (HGT) plays an important evolutionary role in the family Halomonadaceae; however, the impact of recombination events in the phylogenetic analysis was minimized by concatenating the six loci, which agreed with the current taxonomic scheme for this family. Finally, the findings of

  18. Analysis of E. coli promoter sequences.

    PubMed Central

    Harley, C B; Reynolds, R P

    1987-01-01

    We have compiled and analyzed 263 promoters with known transcriptional start points for E. coli genes. Promoter elements (-35 hexamer, -10 hexamer, and spacing between these regions) were aligned by a program which selects the arrangement consistent with the start point and statistically most homologous to a reference list of promoters. The initial reference list was that of Hawley and McClure (Nucl. Acids Res. 11, 2237-2255, 1983). Alignment of the complete list was used for reference until successive analyses did not alter the structure of the list. In the final compilation, all bases in the -35 (TTGACA) and -10 (TATAAT) hexamers were highly conserved, 92% of promoters had inter-region spacing of 17 +/- 1 bp, and 75% of the uniquely defined start points initiated 7 +/- 1 bases downstream of the -10 region. The consensus sequence of promoters with inter-region spacing of 16, 17 or 18 bp did not differ. This compilation and analysis should be useful for studies of promoter structure and function and for programs which identify potential promoter sequences. PMID:3550697

  19. Time fluctuation analysis of forest fire sequences

    NASA Astrophysics Data System (ADS)

    Vega Orozco, Carmen D.; Kanevski, Mikhaïl; Tonini, Marj; Golay, Jean; Pereira, Mário J. G.

    2013-04-01

    Forest fires are complex events involving both space and time fluctuations. Understanding of their dynamics and pattern distribution is of great importance in order to improve the resource allocation and support fire management actions at local and global levels. This study aims at characterizing the temporal fluctuations of forest fire sequences observed in Portugal, which is the country that holds the largest wildfire land dataset in Europe. This research applies several exploratory data analysis measures to 302,000 forest fires occurred from 1980 to 2007. The applied clustering measures are: Morisita clustering index, fractal and multifractal dimensions (box-counting), Ripley's K-function, Allan Factor, and variography. These algorithms enable a global time structural analysis describing the degree of clustering of a point pattern and defining whether the observed events occur randomly, in clusters or in a regular pattern. The considered methods are of general importance and can be used for other spatio-temporal events (i.e. crime, epidemiology, biodiversity, geomarketing, etc.). An important contribution of this research deals with the analysis and estimation of local measures of clustering that helps understanding their temporal structure. Each measure is described and executed for the raw data (forest fires geo-database) and results are compared to reference patterns generated under the null hypothesis of randomness (Poisson processes) embedded in the same time period of the raw data. This comparison enables estimating the degree of the deviation of the real data from a Poisson process. Generalizations to functional measures of these clustering methods, taking into account the phenomena, were also applied and adapted to detect time dependences in a measured variable (i.e. burned area). The time clustering of the raw data is compared several times with the Poisson processes at different thresholds of the measured function. Then, the clustering measure value

  20. Image sequence analysis workstation for multipoint motion analysis

    NASA Astrophysics Data System (ADS)

    Mostafavi, Hassan

    1990-08-01

    This paper describes an application-specific engineering workstation designed and developed to analyze motion of objects from video sequences. The system combines the software and hardware environment of a modem graphic-oriented workstation with the digital image acquisition, processing and display techniques. In addition to automation and Increase In throughput of data reduction tasks, the objective of the system Is to provide less invasive methods of measurement by offering the ability to track objects that are more complex than reflective markers. Grey level Image processing and spatial/temporal adaptation of the processing parameters is used for location and tracking of more complex features of objects under uncontrolled lighting and background conditions. The applications of such an automated and noninvasive measurement tool include analysis of the trajectory and attitude of rigid bodies such as human limbs, robots, aircraft in flight, etc. The system's key features are: 1) Acquisition and storage of Image sequences by digitizing and storing real-time video; 2) computer-controlled movie loop playback, freeze frame display, and digital Image enhancement; 3) multiple leading edge tracking in addition to object centroids at up to 60 fields per second from both live input video or a stored Image sequence; 4) model-based estimation and tracking of the six degrees of freedom of a rigid body: 5) field-of-view and spatial calibration: 6) Image sequence and measurement data base management; and 7) offline analysis software for trajectory plotting and statistical analysis.

  1. Seismic activity of the East Sea, Korea offshore earthquake sequence

    NASA Astrophysics Data System (ADS)

    PARK, E.; Park, S.; Hahm, I.; Kim, Y.

    2013-12-01

    source parameters of 6 earthquakes occurred in Region C on February 19 - March 27, 2012. For analysis of this sequence, we used various data sets, including permanent stations of KMA and Broadband Seismograph Network (F-net) of the National Research Institute for Earth Science and Disaster Prevention (NIED). For the hypocenter determination, 1D velocity structure (Chang and Baag, 2006) and HYPOELLIPSE (Lahr, 1980) were used. The epicenters were distributed within a radius of about 1.5 km. And the focal depths of earthquakes were in the range of 13 - 17 km, indicating shallow events. Using the equation of Tsuboi (1954), magnitudes were estimated to be 2.0 - 3.2. To understand fault movement of earthquake sequence, focal mechanism for the largest earthquake (ML 3.2) was analyzed. According to the result, this earthquake was a oblique strike-slip fault event along either a failure plane of strike 294°, dip 84° and rake 38°, or that of strike 202°, dip 51° and rake 169°. Considering the distribution of epicenters and fault plane solution, the sequence in 2012 seems to be related to the Dolgorae Thrust Belt of complex structure. In these regions of A - C, micro earthquakes are observed persistently. Continuous monitoring and researches on these micro seismic events may be needed to understand the characteristics of seismic activity and fault movement in the margin of Ulleung Basin of the East Sea.

  2. Sequencing, Assembly and Analysis of Human Microbial Communities

    SciTech Connect

    Petrosino, Joe

    2010-06-04

    Joe Petrosino of Baylor College of Medicine discusses using next generation sequencing technologies to study human microbial communities associated with health and disease on June 4, 2010 at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM

  3. Direct Chloroplast Sequencing: Comparison of Sequencing Platforms and Analysis Tools for Whole Chloroplast Barcoding

    PubMed Central

    Brozynska, Marta; Furtado, Agnelo; Henry, Robert James

    2014-01-01

    Direct sequencing of total plant DNA using next generation sequencing technologies generates a whole chloroplast genome sequence that has the potential to provide a barcode for use in plant and food identification. Advances in DNA sequencing platforms may make this an attractive approach for routine plant identification. The HiSeq (Illumina) and Ion Torrent (Life Technology) sequencing platforms were used to sequence total DNA from rice to identify polymorphisms in the whole chloroplast genome sequence of a wild rice plant relative to cultivated rice (cv. Nipponbare). Consensus chloroplast sequences were produced by mapping sequence reads to the reference rice chloroplast genome or by de novo assembly and mapping of the resulting contigs to the reference sequence. A total of 122 polymorphisms (SNPs and indels) between the wild and cultivated rice chloroplasts were predicted by these different sequencing and analysis methods. Of these, a total of 102 polymorphisms including 90 SNPs were predicted by both platforms. Indels were more variable with different sequencing methods, with almost all discrepancies found in homopolymers. The Ion Torrent platform gave no apparent false SNP but was less reliable for indels. The methods should be suitable for routine barcoding using appropriate combinations of sequencing platform and data analysis. PMID:25329378

  4. Direct chloroplast sequencing: comparison of sequencing platforms and analysis tools for whole chloroplast barcoding.

    PubMed

    Brozynska, Marta; Furtado, Agnelo; Henry, Robert James

    2014-01-01

    Direct sequencing of total plant DNA using next generation sequencing technologies generates a whole chloroplast genome sequence that has the potential to provide a barcode for use in plant and food identification. Advances in DNA sequencing platforms may make this an attractive approach for routine plant identification. The HiSeq (Illumina) and Ion Torrent (Life Technology) sequencing platforms were used to sequence total DNA from rice to identify polymorphisms in the whole chloroplast genome sequence of a wild rice plant relative to cultivated rice (cv. Nipponbare). Consensus chloroplast sequences were produced by mapping sequence reads to the reference rice chloroplast genome or by de novo assembly and mapping of the resulting contigs to the reference sequence. A total of 122 polymorphisms (SNPs and indels) between the wild and cultivated rice chloroplasts were predicted by these different sequencing and analysis methods. Of these, a total of 102 polymorphisms including 90 SNPs were predicted by both platforms. Indels were more variable with different sequencing methods, with almost all discrepancies found in homopolymers. The Ion Torrent platform gave no apparent false SNP but was less reliable for indels. The methods should be suitable for routine barcoding using appropriate combinations of sequencing platform and data analysis.

  5. Active Site Characterization of Proteases Sequences from Different Species of Aspergillus.

    PubMed

    Morya, V K; Yadav, Virendra K; Yadav, Sangeeta; Yadav, Dinesh

    2016-09-01

    A total of 129 proteases sequences comprising 43 serine proteases, 36 aspartic proteases, 24 cysteine protease, 21 metalloproteases, and 05 neutral proteases from different Aspergillus species were analyzed for the catalytically active site residues using MEROPS database and various bioinformatics tools. Different proteases have predominance of variable active site residues. In case of 24 cysteine proteases of Aspergilli, the predominant active site residues observed were Gln193, Cys199, His364, Asn384 while for 43 serine proteases, the active site residues namely Asp164, His193, Asn284, Ser349 and Asp325, His357, Asn454, Ser519 were frequently observed. The analysis of 21 metalloproteases of Aspergilli revealed Glu298 and Glu388, Tyr476 as predominant active site residues. In general, Aspergilli species-specific active site residues were observed for different types of protease sequences analyzed. The phylogenetic analysis of these 129 proteases sequences revealed 14 different clans representing different types of proteases with diverse active site residues.

  6. Schlieren sequence analysis using computer vision

    NASA Astrophysics Data System (ADS)

    Smith, Nathanial Timothy

    Computer vision-based methods are proposed for extraction and measurement of flow structures of interest in schlieren video. As schlieren data has increased with faster frame rates, we are faced with thousands of images to analyze. This presents an opportunity to study global flow structures over time that may not be evident from surface measurements. A degree of automation is desirable to extract flow structures and features to give information on their behavior through the sequence. Using an interdisciplinary approach, the analysis of large schlieren data is recast as a computer vision problem. The double-cone schlieren sequence is used as a testbed for the methodology; it is unique in that it contains 5,000 images, complex phenomena, and is feature rich. Oblique structures such as shock waves and shear layers are common in schlieren images. A vision-based methodology is used to provide an estimate of oblique structure angles through the unsteady sequence. The methodology has been applied to a complex flowfield with multiple shocks. A converged detection success rate between 94% and 97% for these structures is obtained. The modified curvature scale space is used to define features at salient points on shock contours. A challenge in developing methods for feature extraction in schlieren images is the reconciliation of existing techniques with features of interest to an aerodynamicist. Domain-specific knowledge of physics must therefore be incorporated into the definition and detection phases. Known location and physically possible structure representations form a knowledge base that provides a unique feature definition and extraction. Model tip location and the motion of a shock intersection across several thousand frames are identified, localized, and tracked. Images are parsed into physically meaningful labels using segmentation. Using this representation, it is shown that in the double-cone flowfield, the dominant unsteady motion is associated with large scale

  7. Whole exome sequence analysis of Peters anomaly

    PubMed Central

    Weh, Eric; Reis, Linda M.; Happ, Hannah C.; Levin, Alex V.; Wheeler, Patricia G.; David, Karen L.; Carney, Erin; Angle, Brad; Hauser, Natalie

    2015-01-01

    Peters anomaly is a rare form of anterior segment ocular dysgenesis, which can also be associated with additional systemic defects. At this time, the majority of cases of Peters anomaly lack a genetic diagnosis. We performed whole exome sequencing of 27 patients with syndromic or isolated Peters anomaly to search for pathogenic mutations in currently known ocular genes. Among the eight previously recognized Peters anomaly genes, we identified a de novo missense mutation in PAX6, c.155G>A, p.(Cys52Tyr), in one patient. Analysis of 691 additional genes currently associated with a different ocular phenotype identified a heterozygous splicing mutation c.1025+2T>A in TFAP2A, a de novo heterozygous nonsense mutation c.715C>T, p.(Gln239*) in HCCS, a hemizygous mutation c.385G>A, p.(Glu129Lys) in NDP, a hemizygous mutation c.3446C>T, p.(Pro1149Leu) in FLNA, and compound heterozygous mutations c.1422T>A, p.(Tyr474*) and c.2544G>A, p.(Met848Ile) in SLC4A11; all mutations, except for the FLNA and SLC4A11 c.2544G>A alleles, are novel. This is the frst study to use whole exome sequencing to discern the genetic etiology of a large cohort of patients with syndromic or isolated Peters anomaly. We report five new genes associated with this condition and suggest screening of TFAP2A and FLNA in patients with Peters anomaly and relevant syndromic features and HCCS, NDP and SLC4A11 in patients with isolated Peters anomaly. PMID:25182519

  8. Phylogenetic analysis of burkholderia species by multilocus sequence analysis.

    PubMed

    Estrada-de los Santos, Paulina; Vinuesa, Pablo; Martínez-Aguilar, Lourdes; Hirsch, Ann M; Caballero-Mellado, Jesús

    2013-07-01

    Burkholderia comprises more than 60 species of environmental, clinical, and agro-biotechnological relevance. Previous phylogenetic analyses of 16S rRNA, recA, gyrB, rpoB, and acdS gene sequences as well as genome sequence comparisons of different Burkholderia species have revealed two major species clusters. In this study, we undertook a multilocus sequence analysis of 77 type and reference strains of Burkholderia using atpD, gltB, lepA, and recA genes in combination with the 16S rRNA gene sequence and employed maximum likelihood and neighbor-joining criteria to test this further. The phylogenetic analysis revealed, with high supporting values, distinct lineages within the genus Burkholderia. The two large groups were named A and B, whereas the B. rhizoxinica/B. endofungorum, and B. andropogonis groups consisted of two and one species, respectively. The group A encompasses several plant-associated and saprophytic bacterial species. The group B comprises the B. cepacia complex (opportunistic human pathogens), the B. pseudomallei subgroup, which includes both human and animal pathogens, and an assemblage of plant pathogenic species. The distinct lineages present in Burkholderia suggest that each group might represent a different genus. However, it will be necessary to analyze the full set of Burkholderia species and explore whether enough phenotypic features exist among the different clusters to propose that these groups should be considered separate genera.

  9. DNA sequence analysis by MALDI mass spectrometry.

    PubMed Central

    Kirpekar, F; Nordhoff, E; Larsen, L K; Kristiansen, K; Roepstorff, P; Hillenkamp, F

    1998-01-01

    Conventional DNA sequencing is based on gel electrophoretic separation of the sequencing products. Gel casting and electrophoresis are the time limiting steps, and the gel separation is occasionally imperfect due to aberrant mobility of certain fragments, leading to erroneous sequence determination. Furthermore, illegitimately terminated products frequently cannot be distinguished from correctly terminated ones, a phenomenon that also obscures data interpretation. In the present work the use of MALDI mass spectrometry for sequencing of DNA amplified from clinical samples is implemented. The unambiguous and fast identification of deletions and substitutions in DNA amplified from heterozygous carriers realistically suggest MALDI mass spectrometry as a future alternative to conventional sequencing procedures for high throughput screening for mutations. Unique features of the method are demonstrated by sequencing a DNA fragment that could not be sequenced conventionally because of gel electrophoretic band compression and the presence of multiple non-specific termination products. Taking advantage of the accurate mass information provided by MALDI mass spectrometry, the sequence was deduced, and the nature of the non-specific termination could be determined. The method described here increases the fidelity in DNA sequencing, is fast, compatible with standard DNA sequencing procedures, and amenable to automation. PMID:9592136

  10. Reverse transcriptase domain sequences from tree peony (Paeonia suffruticosa) long terminal repeat retrotransposons: sequence characterization and phylogenetic analysis

    PubMed Central

    Guo, Da-Long; Hou, Xiao-Gai; Jia, Tian

    2014-01-01

    Tree peony is an important horticultural plant worldwide of great ornamental and medicinal value. Long terminal repeat retrotransposons (LTR-retrotransposons) are the major components of most plant genomes and can substantially impact the genome in many ways. It is therefore crucial to understand their sequence characteristics, genetic distribution and transcriptional activity; however, no information about them is available in tree peony. Ty1-copia-like reverse transcriptase sequences were amplified from tree peony genomic DNA by polymerase chain reaction (PCR) with degenerate oligonucleotide primers corresponding to highly conserved domains of the Ty1-copia-like retrotransposons in this study. PCR fragments of roughly 270 bp were isolated and cloned, and 33 sequences were obtained. According to alignment and phylogenetic analysis, all sequences were divided into six families. The observed difference in the degree of nucleotide sequence similarity is an indication for high level of sequence heterogeneity among these clones. Most of these sequences have a frame shift, a stop codon, or both. Dot-blot analysis revealed distribution of these sequences in all the studied tree peony species. However, different hybridization signals were detected among them, which is in agreement with previous systematics studies. Reverse transcriptase PCR (RT-PCR) indicated that Ty1-copia retrotransposons in tree peony were transcriptionally inactive. The results provide basic genetic and evolutionary information of tree peony genome, and will provide valuable information for the further utilization of retrotransposons in tree peony. PMID:26019529

  11. Noninvasive three-dimensional electrocardiographic imaging of ventricular activation sequence.

    PubMed

    Zhang, Xin; Ramachandra, Indiresha; Liu, Zhongming; Muneer, Basharat; Pogwizd, Steven M; He, Bin

    2005-12-01

    Imaging the myocardial activation sequence is critical for improved diagnosis and treatment of life-threatening cardiac arrhythmias. It is desirable to reveal the underlying cardiac electrical activity throughout the three-dimensional (3-D) myocardium (rather than just the endocardial or epicardial surface) from noninvasive body surface potential measurements. A new 3-D electrocardiographic imaging technique (3-DEIT) based on the boundary element method (BEM) and multiobjective nonlinear optimization has been applied to reconstruct the cardiac activation sequences from body surface potential maps. Ultrafast computerized tomography scanning was performed for subsequent construction of the torso and heart models. Experimental studies were then conducted, during left and right ventricular pacing, in which noninvasive assessment of ventricular activation sequence by means of 3-DEIT was performed simultaneously with 3-D intracardiac mapping (up to 200 intramural sites) using specially designed plunge-needle electrodes in closed-chest rabbits. Estimated activation sequences from 3-DEIT were in good agreement with those constructed from simultaneously recorded intracardiac electrograms in the same animals. Averaged over 100 paced beats (from a total of 10 pacing sites), total activation times were comparable (53.3 +/- 8.1 vs. 49.8 +/- 5.2 ms), the localization error of site of initiation of activation was 5.73 +/- 1.77 mm, and the relative error between the estimated and measured activation sequences was 0.32 +/- 0.06. The present experimental results demonstrate that the 3-D paced ventricular activation sequence can be reconstructed by using noninvasive multisite body surface electrocardiographic measurements and imaging of heart-torso geometry. This new 3-D electrocardiographic imaging modality has the potential to guide catheter-based ablative interventions for the treatment of life-threatening cardiac arrhythmias.

  12. Sequencing, Analysis, and Annotation of Expressed Sequence Tags for Camelus dromedarius

    PubMed Central

    Al-Swailem, Abdulaziz M.; Shehata, Maher M.; Abu-Duhier, Faisel M.; Al-Yamani, Essam J.; Al-Busadah, Khalid A.; Al-Arawi, Mohammed S.; Al-Khider, Ali Y.; Al-Muhaimeed, Abdullah N.; Al-Qahtani, Fahad H.; Manee, Manee M.; Al-Shomrani, Badr M.; Al-Qhtani, Saad M.; Al-Harthi, Amer S.; Akdemir, Kadir C.; Otu, Hasan H.

    2010-01-01

    Despite its economical, cultural, and biological importance, there has not been a large scale sequencing project to date for Camelus dromedarius. With the goal of sequencing complete DNA of the organism, we first established and sequenced camel EST libraries, generating 70,272 reads. Following trimming, chimera check, repeat masking, cluster and assembly, we obtained 23,602 putative gene sequences, out of which over 4,500 potentially novel or fast evolving gene sequences do not carry any homology to other available genomes. Functional annotation of sequences with similarities in nucleotide and protein databases has been obtained using Gene Ontology classification. Comparison to available full length cDNA sequences and Open Reading Frame (ORF) analysis of camel sequences that exhibit homology to known genes show more than 80% of the contigs with an ORF>300 bp and ∼40% hits extending to the start codons of full length cDNAs suggesting successful characterization of camel genes. Similarity analyses are done separately for different organisms including human, mouse, bovine, and rat. Accompanying web portal, CAGBASE (http://camel.kacst.edu.sa/), hosts a relational database containing annotated EST sequences and analysis tools with possibility to add sequences from public domain. We anticipate our results to provide a home base for genomic studies of camel and other comparative studies enabling a starting point for whole genome sequencing of the organism. PMID:20502665

  13. Automated shielding analysis sequences for spent fuel casks

    SciTech Connect

    Tang, J.S.; Parks, C.V.; Hermann, O.W.

    1987-01-01

    Two important Shielding Analysis Sequences (SAS) have recently been developed within the SCALE computational system. These sequences significantly enhance the existing SCALE system capabilities for evaluating radiation doses exterior to spent fuel casks. These new control module sequences (SAS1 and SAS4) and their capabilities are discussed and demonstrated, together with the existing SAS2 sequence that is used to generate radiation sources for spent fuel. Particular attention is given to the new SAS4 sequence which provides an automated scheme for generating and using biasing parameters in a subsequent Monte Carlo analysis of a cask.

  14. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, Mark S.

    2001-06-05

    A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

  15. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, Mark S.

    1998-08-18

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  16. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, Mark S.

    1999-10-26

    A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

  17. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, Mark S.; Wang, Chunwei; Jevons, Luis C.; Bernhart, Derek H.; Lipshutz, Robert J.

    2004-05-11

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  18. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, Mark S.

    2003-08-19

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  19. Computer-aided visualization and analysis system for sequence evaluation

    DOEpatents

    Chee, M.S.

    1998-08-18

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device. 27 figs.

  20. Expression analysis of a tyrosinase promoter sequence in zebrafish.

    PubMed

    Camp, Esther; Badhwar, Prerna; Mann, Graham J; Lardelli, Michael

    2003-04-01

    Sequence comparisons and functional analysis of the 5' upstream regions of tyrosinase genes have revealed the importance of cis-regulatory elements acting to control the spatiotemporal expression of tyrosinase in the melanocytes and retinal pigmented epithelium of developing embryos. To date there are no reports addressing the control of tyrosinase gene transcription in zebrafish, a vertebrate model organism of increasing importance. To exploit the tyrosinase gene as a marker in zebrafish we set out to clone its promoter and analyse its regulation during embryogenesis. Amplification of a zebrafish tyrosinase complementary DNA fragment by reverse transcriptase polymerase chain reaction allowed us to isolate and sequence a 1041 nt genomic DNA fragment that includes a transcription initiation site and 73 nt of the open reading frame. Bioinformatic analysis of this genomic sequence revealed five E-box motifs, including one CATGTG type E-box present in a putative initiation region. These are conserved positive regulatory elements in vertebrate tyrosinase promoters. We show that a region of 814 nt upstream from the translation start site of the zebrafish tyrosinase gene can drive expression in retinal pigmented epithelium in transiently transgenic zebrafish embryos but that its activity is not restricted to melanin-producing cells. This region is unable to drive transcription in human melanoma cell lines. Ectopic expression from this zebrafish tyrosinase promoter fragment is probably due to the absence of positive and negative cis-regulatory elements, such as a tyrosinase distal element, which is known to function as a pigment cell-specific enhancer.

  1. Scalable Kernel Methods and Algorithms for General Sequence Analysis

    ERIC Educational Resources Information Center

    Kuksa, Pavel

    2011-01-01

    Analysis of large-scale sequential data has become an important task in machine learning and pattern recognition, inspired in part by numerous scientific and technological applications such as the document and text classification or the analysis of biological sequences. However, current computational methods for sequence comparison still lack…

  2. [Tabular excel editor for analysis of aligned nucleotide sequences].

    PubMed

    Demkin, V V

    2010-01-01

    Excel platform was used for transition of results of multiple aligned nucleotide sequences obtained using the BLAST network service to the form appropriate for visual analysis and editing. Two macros operators for MS Excel 2007 were constructed. The array of aligned sequences transformed into Excel table and processed using macros operators is more appropriate for analysis than initial html data.

  3. Relationships among genera of the Saccharomycotina from multigene sequence analysis

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Most known species of the subphylum Saccharomycotina (budding ascomycetous yeasts) have now been placed in phylogenetically defined clades following multigene sequence analysis. Terminal clades, which are usually well supported from bootstrap analysis, are viewed as phylogenetically circumscribed ge...

  4. Establishing a framework for comparative analysis of genome sequences

    SciTech Connect

    Bansal, A.K.

    1995-06-01

    This paper describes a framework and a high-level language toolkit for comparative analysis of genome sequence alignment The framework integrates the information derived from multiple sequence alignment and phylogenetic tree (hypothetical tree of evolution) to derive new properties about sequences. Multiple sequence alignments are treated as an abstract data type. Abstract operations have been described to manipulate a multiple sequence alignment and to derive mutation related information from a phylogenetic tree by superimposing parsimonious analysis. The framework has been applied on protein alignments to derive constrained columns (in a multiple sequence alignment) that exhibit evolutionary pressure to preserve a common property in a column despite mutation. A Prolog toolkit based on the framework has been implemented and demonstrated on alignments containing 3000 sequences and 3904 columns.

  5. Folding and activity of hybrid sequence, disulfide-stabilized peptides

    SciTech Connect

    Pease, J.H.B.; Storrs, R.W.; Wemmer, D.E. )

    1990-08-01

    Peptides have been synthesized that have hybrid sequences, partially derived from the bee venom peptide apamin and partially from the S peptide of ribonuclease A. The hybrid peptides were demonstrated by NMR spectroscopy to fold, forming the same disulfides and basic three-dimensional structure as native apamin, containing a {beta}-turn and an {alpha}-helix. These hybrids were active in complementing S protein, reactivating nuclease activity. In addition, the hybrid peptide was effective in inducing antibodies that cross-react with the RNase, without conjugation to a carrier protein. The stability of the folded structure of this peptide suggests that it should be possible to elicit antibodies that will react not only with a specific sequence, but also with a specific secondary structure. Hybrid sequence peptides also provide opportunities to study separately nucleation and propagation steps in formation of secondary structure. The authors show that in S peptide the {alpha}-helix does not end abruptly but rather terminates gradually over four or five residues. In general, these hybrid sequence peptides, which fold predictably because of disulfide bond formation, can provide opportunities for examining structure - function relationships for many biologically active sequences.

  6. Wavelet Analysis on Symbolic Sequences and Two-Fold de Bruijn Sequences

    NASA Astrophysics Data System (ADS)

    Osipov, V. Al.

    2016-07-01

    The concept of symbolic sequences play important role in study of complex systems. In the work we are interested in ultrametric structure of the set of cyclic sequences naturally arising in theory of dynamical systems. Aimed at construction of analytic and numerical methods for investigation of clusters we introduce operator language on the space of symbolic sequences and propose an approach based on wavelet analysis for study of the cluster hierarchy. The analytic power of the approach is demonstrated by derivation of a formula for counting of two-fold de Bruijn sequences, the extension of the notion of de Bruijn sequences. Possible advantages of the developed description is also discussed in context of applied problem of construction of efficient DNA sequence assembly algorithms.

  7. Modern Computational Techniques for the HMMER Sequence Analysis

    PubMed Central

    2013-01-01

    This paper focuses on the latest research and critical reviews on modern computing architectures, software and hardware accelerated algorithms for bioinformatics data analysis with an emphasis on one of the most important sequence analysis applications—hidden Markov models (HMM). We show the detailed performance comparison of sequence analysis tools on various computing platforms recently developed in the bioinformatics society. The characteristics of the sequence analysis, such as data and compute-intensive natures, make it very attractive to optimize and parallelize by using both traditional software approach and innovated hardware acceleration technologies. PMID:25937944

  8. Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences

    ERIC Educational Resources Information Center

    Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam

    2015-01-01

    This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

  9. Stratigraphic sequence analysis of the Antler foreland

    SciTech Connect

    Silberling, N.J.; Nichols, K.M.; Macke, D.L. )

    1993-04-01

    Mid-Upper Devonian to Upper Mississippian strata in western Utah were deposited in the distal Antler foreland. They record lateral and vertical changes in depositional environments that define five successive stratigraphic sequences, each representing a third-order transgressive-regressive cycle. In ascending order, these sequences are informally named the Langenheim (LA) of late Frasnian to mid-Famennian age, the Gutschick (GU) of late Famennian to early Kinderhookian age, the Morris (MO) of late Kinderhookian age; the Sadlick (SA) of Osagean to early Meramecian age, and the Maughan (MA) of mid-Meramecian to Chesterian age. MO is widespread and recognized within carbonate rocks of the Fitchville Formation and Joana Limestone. SA formed in concert with and to the east and south of the Wendover foreland high; the Delle phosphatic event marks maximum marine flooding during SA deposition. The transgressive systems tract of MA includes rhythmic-bedded limestone in the upper part of the Deseret Limestone in west-central Utah and, farther west, the hypoxic limestone and black shale of the Skunk Spring Limestone Bed and part of the overlying Chainman Shale. Traced westward into Nevada, MA first oversteps SA and then MO. Lithostratigraphic correlation of these sequences still farther west into the Eureka thrust belt (ETB) could mean that the youngest strata truncated by the Roberts Mountains thrust belong to the MA and that this thrust is simply part of the post-Mississippian ETB. However, some strata in central Nevada that lithically resemble those of the MA are paleontologically dated as Early Mississippian, the age of sequences overstepped by MA not far to the east. Thus, at least some imbricates of the ETB may contain a sequence stratigraphy which reflects local tectonic control.

  10. Prediction of fine-tuned promoter activity from DNA sequence.

    PubMed

    Siwo, Geoffrey; Rider, Andrew; Tan, Asako; Pinapati, Richard; Emrich, Scott; Chawla, Nitesh; Ferdig, Michael

    2016-01-01

    The quantitative prediction of transcriptional activity of genes using promoter sequence is fundamental to the engineering of biological systems for industrial purposes and understanding the natural variation in gene expression. To catalyze the development of new algorithms for this purpose, the Dialogue on Reverse Engineering Assessment and Methods (DREAM) organized a community challenge seeking predictive models of promoter activity given normalized promoter activity data for 90 ribosomal protein promoters driving expression of a fluorescent reporter gene. By developing an unbiased modeling approach that performs an iterative search for predictive DNA sequence features using the frequencies of various k-mers, inferred DNA mechanical properties and spatial positions of promoter sequences, we achieved the best performer status in this challenge. The specific predictive features used in the model included the frequency of the nucleotide G, the length of polymeric tracts of T and TA, the frequencies of 6 distinct trinucleotides and 12 tetranucleotides, and the predicted protein deformability of the DNA sequence. Our method accurately predicted the activity of 20 natural variants of ribosomal protein promoters (Spearman correlation r = 0.73) as compared to 33 laboratory-mutated variants of the promoters (r = 0.57) in a test set that was hidden from participants. Notably, our model differed substantially from the rest in 2 main ways: i) it did not explicitly utilize transcription factor binding information implying that subtle DNA sequence features are highly associated with gene expression, and ii) it was entirely based on features extracted exclusively from the 100 bp region upstream from the translational start site demonstrating that this region encodes much of the overall promoter activity. The findings from this study have important implications for the engineering of predictable gene expression systems and the evolution of gene expression in naturally occurring

  11. Prediction of fine-tuned promoter activity from DNA sequence

    PubMed Central

    Siwo, Geoffrey; Rider, Andrew; Tan, Asako; Pinapati, Richard; Emrich, Scott; Chawla, Nitesh; Ferdig, Michael

    2016-01-01

    The quantitative prediction of transcriptional activity of genes using promoter sequence is fundamental to the engineering of biological systems for industrial purposes and understanding the natural variation in gene expression. To catalyze the development of new algorithms for this purpose, the Dialogue on Reverse Engineering Assessment and Methods (DREAM) organized a community challenge seeking predictive models of promoter activity given normalized promoter activity data for 90 ribosomal protein promoters driving expression of a fluorescent reporter gene. By developing an unbiased modeling approach that performs an iterative search for predictive DNA sequence features using the frequencies of various k-mers, inferred DNA mechanical properties and spatial positions of promoter sequences, we achieved the best performer status in this challenge. The specific predictive features used in the model included the frequency of the nucleotide G, the length of polymeric tracts of T and TA, the frequencies of 6 distinct trinucleotides and 12 tetranucleotides, and the predicted protein deformability of the DNA sequence. Our method accurately predicted the activity of 20 natural variants of ribosomal protein promoters (Spearman correlation r = 0.73) as compared to 33 laboratory-mutated variants of the promoters (r = 0.57) in a test set that was hidden from participants. Notably, our model differed substantially from the rest in 2 main ways: i) it did not explicitly utilize transcription factor binding information implying that subtle DNA sequence features are highly associated with gene expression, and ii) it was entirely based on features extracted exclusively from the 100 bp region upstream from the translational start site demonstrating that this region encodes much of the overall promoter activity. The findings from this study have important implications for the engineering of predictable gene expression systems and the evolution of gene expression in naturally occurring

  12. Bioinformatics Pipeline for Transcriptome Sequencing Analysis.

    PubMed

    Djebali, Sarah; Wucher, Valentin; Foissac, Sylvain; Hitte, Christophe; Corre, Evan; Derrien, Thomas

    2017-01-01

    The development of High Throughput Sequencing (HTS) for RNA profiling (RNA-seq) has shed light on the diversity of transcriptomes. While RNA-seq is becoming a de facto standard for monitoring the population of expressed transcripts in a given condition at a specific time, processing the huge amount of data it generates requires dedicated bioinformatics programs. Here, we describe a standard bioinformatics protocol using state-of-the-art tools, the STAR mapper to align reads onto a reference genome, Cufflinks to reconstruct the transcriptome, and RSEM to quantify expression levels of genes and transcripts. We present the workflow using human transcriptome sequencing data from two biological replicates of the K562 cell line produced as part of the ENCODE3 project. PMID:27662878

  13. Detailed Analysis of a Multiplet Earthquake Sequence

    NASA Astrophysics Data System (ADS)

    Iglesias, A.; Singh, S. K.; Garduño, V. H.

    2014-12-01

    The Mexican National Seismological Service reported a sequence of four small earthquakes (2.5 < M < 3.0) occurring in Morelia, a city of 1,000,000, which is the capital city of Michoacán State. A careful revision of the records from a three-component broad band station, located ~10 km far from the earthquakes, showed a sequence of 7 earthquakes in a period of about 36 hours. Waveforms are remarkably similar between them and they may be considered as a "multiplet". In this work, we use the records from the broad-band station and a coda wave interferometry based methodology to obtain the relative distance between pair of events. The 21 inter-event distances obtained are considered as over-determined system for the relative positions between events. A non-linear damped scheme is used to solve the over-determined system and to obtain the spatial distribution of the 7 earthquakes. Results show (1) distances between events are < 200 m, and (2) the sequence has an approximate linear distribution.

  14. HIVE-Hexagon: High-Performance, Parallelized Sequence Alignment for Next-Generation Sequencing Data Analysis

    PubMed Central

    Santana-Quintero, Luis; Dingerdissen, Hayley; Thierry-Mieg, Jean; Mazumder, Raja; Simonyan, Vahan

    2014-01-01

    Due to the size of Next-Generation Sequencing data, the computational challenge of sequence alignment has been vast. Inexact alignments can take up to 90% of total CPU time in bioinformatics pipelines. High-performance Integrated Virtual Environment (HIVE), a cloud-based environment optimized for storage and analysis of extra-large data, presents an algorithmic solution: the HIVE-hexagon DNA sequence aligner. HIVE-hexagon implements novel approaches to exploit both characteristics of sequence space and CPU, RAM and Input/Output (I/O) architecture to quickly compute accurate alignments. Key components of HIVE-hexagon include non-redundification and sorting of sequences; floating diagonals of linearized dynamic programming matrices; and consideration of cross-similarity to minimize computations. Availability https://hive.biochemistry.gwu.edu/hive/ PMID:24918764

  15. Vertebral shape: automatic measurement with dynamically sequenced active appearance models.

    PubMed

    Roberts, M G; Cootes, T F; Adams, J E

    2005-01-01

    The shape and appearance of vertebrae on lateral dual x-ray absorptiometry (DXA) scans were statistically modelled. The spine was modelled by a sequence of overlapping triplets of vertebrae, using Active Appearance Models (AAMs). To automate vertebral morphometry, the sequence of trained models was matched to previously unseen scans. The dataset includes a significant number of pathologies. A new dynamic ordering algorithm was assessed for the model fitting sequence, using the best quality of fit achieved by multiple sub-model candidates. The accuracy of the search was improved by dynamically imposing the best quality candidate first. The results confirm the feasibility of substantially automating vertebral morphometry measurements even with fractures or noisy images.

  16. Error analysis of deep sequencing of phage libraries: peptides censored in sequencing.

    PubMed

    Matochko, Wadim L; Derda, Ratmir

    2013-01-01

    Next-generation sequencing techniques empower selection of ligands from phage-display libraries because they can detect low abundant clones and quantify changes in the copy numbers of clones without excessive selection rounds. Identification of errors in deep sequencing data is the most critical step in this process because these techniques have error rates >1%. Mechanisms that yield errors in Illumina and other techniques have been proposed, but no reports to date describe error analysis in phage libraries. Our paper focuses on error analysis of 7-mer peptide libraries sequenced by Illumina method. Low theoretical complexity of this phage library, as compared to complexity of long genetic reads and genomes, allowed us to describe this library using convenient linear vector and operator framework. We describe a phage library as N × 1 frequency vector n = ||ni||, where ni is the copy number of the ith sequence and N is the theoretical diversity, that is, the total number of all possible sequences. Any manipulation to the library is an operator acting on n. Selection, amplification, or sequencing could be described as a product of a N × N matrix and a stochastic sampling operator (Sa). The latter is a random diagonal matrix that describes sampling of a library. In this paper, we focus on the properties of Sa and use them to define the sequencing operator (Seq). Sequencing without any bias and errors is Seq = Sa IN, where IN is a N × N unity matrix. Any bias in sequencing changes IN to a nonunity matrix. We identified a diagonal censorship matrix (CEN), which describes elimination or statistically significant downsampling, of specific reads during the sequencing process. PMID:24416071

  17. Initial sequencing and analysis of the human genome.

    PubMed

    Lander, E S; Linton, L M; Birren, B; Nusbaum, C; Zody, M C; Baldwin, J; Devon, K; Dewar, K; Doyle, M; FitzHugh, W; Funke, R; Gage, D; Harris, K; Heaford, A; Howland, J; Kann, L; Lehoczky, J; LeVine, R; McEwan, P; McKernan, K; Meldrim, J; Mesirov, J P; Miranda, C; Morris, W; Naylor, J; Raymond, C; Rosetti, M; Santos, R; Sheridan, A; Sougnez, C; Stange-Thomann, Y; Stojanovic, N; Subramanian, A; Wyman, D; Rogers, J; Sulston, J; Ainscough, R; Beck, S; Bentley, D; Burton, J; Clee, C; Carter, N; Coulson, A; Deadman, R; Deloukas, P; Dunham, A; Dunham, I; Durbin, R; French, L; Grafham, D; Gregory, S; Hubbard, T; Humphray, S; Hunt, A; Jones, M; Lloyd, C; McMurray, A; Matthews, L; Mercer, S; Milne, S; Mullikin, J C; Mungall, A; Plumb, R; Ross, M; Shownkeen, R; Sims, S; Waterston, R H; Wilson, R K; Hillier, L W; McPherson, J D; Marra, M A; Mardis, E R; Fulton, L A; Chinwalla, A T; Pepin, K H; Gish, W R; Chissoe, S L; Wendl, M C; Delehaunty, K D; Miner, T L; Delehaunty, A; Kramer, J B; Cook, L L; Fulton, R S; Johnson, D L; Minx, P J; Clifton, S W; Hawkins, T; Branscomb, E; Predki, P; Richardson, P; Wenning, S; Slezak, T; Doggett, N; Cheng, J F; Olsen, A; Lucas, S; Elkin, C; Uberbacher, E; Frazier, M; Gibbs, R A; Muzny, D M; Scherer, S E; Bouck, J B; Sodergren, E J; Worley, K C; Rives, C M; Gorrell, J H; Metzker, M L; Naylor, S L; Kucherlapati, R S; Nelson, D L; Weinstock, G M; Sakaki, Y; Fujiyama, A; Hattori, M; Yada, T; Toyoda, A; Itoh, T; Kawagoe, C; Watanabe, H; Totoki, Y; Taylor, T; Weissenbach, J; Heilig, R; Saurin, W; Artiguenave, F; Brottier, P; Bruls, T; Pelletier, E; Robert, C; Wincker, P; Smith, D R; Doucette-Stamm, L; Rubenfield, M; Weinstock, K; Lee, H M; Dubois, J; Rosenthal, A; Platzer, M; Nyakatura, G; Taudien, S; Rump, A; Yang, H; Yu, J; Wang, J; Huang, G; Gu, J; Hood, L; Rowen, L; Madan, A; Qin, S; Davis, R W; Federspiel, N A; Abola, A P; Proctor, M J; Myers, R M; Schmutz, J; Dickson, M; Grimwood, J; Cox, D R; Olson, M V; Kaul, R; Raymond, C; Shimizu, N; Kawasaki, K; Minoshima, S; Evans, G A; Athanasiou, M; Schultz, R; Roe, B A; Chen, F; Pan, H; Ramser, J; Lehrach, H; Reinhardt, R; McCombie, W R; de la Bastide, M; Dedhia, N; Blöcker, H; Hornischer, K; Nordsiek, G; Agarwala, R; Aravind, L; Bailey, J A; Bateman, A; Batzoglou, S; Birney, E; Bork, P; Brown, D G; Burge, C B; Cerutti, L; Chen, H C; Church, D; Clamp, M; Copley, R R; Doerks, T; Eddy, S R; Eichler, E E; Furey, T S; Galagan, J; Gilbert, J G; Harmon, C; Hayashizaki, Y; Haussler, D; Hermjakob, H; Hokamp, K; Jang, W; Johnson, L S; Jones, T A; Kasif, S; Kaspryzk, A; Kennedy, S; Kent, W J; Kitts, P; Koonin, E V; Korf, I; Kulp, D; Lancet, D; Lowe, T M; McLysaght, A; Mikkelsen, T; Moran, J V; Mulder, N; Pollara, V J; Ponting, C P; Schuler, G; Schultz, J; Slater, G; Smit, A F; Stupka, E; Szustakowki, J; Thierry-Mieg, D; Thierry-Mieg, J; Wagner, L; Wallis, J; Wheeler, R; Williams, A; Wolf, Y I; Wolfe, K H; Yang, S P; Yeh, R F; Collins, F; Guyer, M S; Peterson, J; Felsenfeld, A; Wetterstrand, K A; Patrinos, A; Morgan, M J; de Jong, P; Catanese, J J; Osoegawa, K; Shizuya, H; Choi, S; Chen, Y J; Szustakowki, J

    2001-02-15

    The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

  18. Initial sequencing and analysis of the human genome.

    PubMed

    Lander, E S; Linton, L M; Birren, B; Nusbaum, C; Zody, M C; Baldwin, J; Devon, K; Dewar, K; Doyle, M; FitzHugh, W; Funke, R; Gage, D; Harris, K; Heaford, A; Howland, J; Kann, L; Lehoczky, J; LeVine, R; McEwan, P; McKernan, K; Meldrim, J; Mesirov, J P; Miranda, C; Morris, W; Naylor, J; Raymond, C; Rosetti, M; Santos, R; Sheridan, A; Sougnez, C; Stange-Thomann, Y; Stojanovic, N; Subramanian, A; Wyman, D; Rogers, J; Sulston, J; Ainscough, R; Beck, S; Bentley, D; Burton, J; Clee, C; Carter, N; Coulson, A; Deadman, R; Deloukas, P; Dunham, A; Dunham, I; Durbin, R; French, L; Grafham, D; Gregory, S; Hubbard, T; Humphray, S; Hunt, A; Jones, M; Lloyd, C; McMurray, A; Matthews, L; Mercer, S; Milne, S; Mullikin, J C; Mungall, A; Plumb, R; Ross, M; Shownkeen, R; Sims, S; Waterston, R H; Wilson, R K; Hillier, L W; McPherson, J D; Marra, M A; Mardis, E R; Fulton, L A; Chinwalla, A T; Pepin, K H; Gish, W R; Chissoe, S L; Wendl, M C; Delehaunty, K D; Miner, T L; Delehaunty, A; Kramer, J B; Cook, L L; Fulton, R S; Johnson, D L; Minx, P J; Clifton, S W; Hawkins, T; Branscomb, E; Predki, P; Richardson, P; Wenning, S; Slezak, T; Doggett, N; Cheng, J F; Olsen, A; Lucas, S; Elkin, C; Uberbacher, E; Frazier, M; Gibbs, R A; Muzny, D M; Scherer, S E; Bouck, J B; Sodergren, E J; Worley, K C; Rives, C M; Gorrell, J H; Metzker, M L; Naylor, S L; Kucherlapati, R S; Nelson, D L; Weinstock, G M; Sakaki, Y; Fujiyama, A; Hattori, M; Yada, T; Toyoda, A; Itoh, T; Kawagoe, C; Watanabe, H; Totoki, Y; Taylor, T; Weissenbach, J; Heilig, R; Saurin, W; Artiguenave, F; Brottier, P; Bruls, T; Pelletier, E; Robert, C; Wincker, P; Smith, D R; Doucette-Stamm, L; Rubenfield, M; Weinstock, K; Lee, H M; Dubois, J; Rosenthal, A; Platzer, M; Nyakatura, G; Taudien, S; Rump, A; Yang, H; Yu, J; Wang, J; Huang, G; Gu, J; Hood, L; Rowen, L; Madan, A; Qin, S; Davis, R W; Federspiel, N A; Abola, A P; Proctor, M J; Myers, R M; Schmutz, J; Dickson, M; Grimwood, J; Cox, D R; Olson, M V; Kaul, R; Raymond, C; Shimizu, N; Kawasaki, K; Minoshima, S; Evans, G A; Athanasiou, M; Schultz, R; Roe, B A; Chen, F; Pan, H; Ramser, J; Lehrach, H; Reinhardt, R; McCombie, W R; de la Bastide, M; Dedhia, N; Blöcker, H; Hornischer, K; Nordsiek, G; Agarwala, R; Aravind, L; Bailey, J A; Bateman, A; Batzoglou, S; Birney, E; Bork, P; Brown, D G; Burge, C B; Cerutti, L; Chen, H C; Church, D; Clamp, M; Copley, R R; Doerks, T; Eddy, S R; Eichler, E E; Furey, T S; Galagan, J; Gilbert, J G; Harmon, C; Hayashizaki, Y; Haussler, D; Hermjakob, H; Hokamp, K; Jang, W; Johnson, L S; Jones, T A; Kasif, S; Kaspryzk, A; Kennedy, S; Kent, W J; Kitts, P; Koonin, E V; Korf, I; Kulp, D; Lancet, D; Lowe, T M; McLysaght, A; Mikkelsen, T; Moran, J V; Mulder, N; Pollara, V J; Ponting, C P; Schuler, G; Schultz, J; Slater, G; Smit, A F; Stupka, E; Szustakowki, J; Thierry-Mieg, D; Thierry-Mieg, J; Wagner, L; Wallis, J; Wheeler, R; Williams, A; Wolf, Y I; Wolfe, K H; Yang, S P; Yeh, R F; Collins, F; Guyer, M S; Peterson, J; Felsenfeld, A; Wetterstrand, K A; Patrinos, A; Morgan, M J; de Jong, P; Catanese, J J; Osoegawa, K; Shizuya, H; Choi, S; Chen, Y J; Szustakowki, J

    2001-02-15

    The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence. PMID:11237011

  19. Transcriptomic Sequencing Reveals a Set of Unique Genes Activated by Butyrate-Induced Histone Modification.

    PubMed

    Li, Cong-Jun; Li, Robert W; Baldwin, Ransom L; Blomberg, Le Ann; Wu, Sitao; Li, Weizhong

    2016-01-01

    Butyrate is a nutritional element with strong epigenetic regulatory activity as a histone deacetylase inhibitor. Based on the analysis of differentially expressed genes in the bovine epithelial cells using RNA sequencing technology, a set of unique genes that are activated only after butyrate treatment were revealed. A complementary bioinformatics analysis of the functional category, pathway, and integrated network, using Ingenuity Pathways Analysis, indicated that these genes activated by butyrate treatment are related to major cellular functions, including cell morphological changes, cell cycle arrest, and apoptosis. Our results offered insight into the butyrate-induced transcriptomic changes and will accelerate our discerning of the molecular fundamentals of epigenomic regulation. PMID:26819550

  20. Transcriptomic Sequencing Reveals a Set of Unique Genes Activated by Butyrate-Induced Histone Modification

    PubMed Central

    Li, Cong-Jun; Li, Robert W.; Baldwin, Ransom L.; Blomberg, Le Ann; Wu, Sitao; Li, Weizhong

    2016-01-01

    Butyrate is a nutritional element with strong epigenetic regulatory activity as a histone deacetylase inhibitor. Based on the analysis of differentially expressed genes in the bovine epithelial cells using RNA sequencing technology, a set of unique genes that are activated only after butyrate treatment were revealed. A complementary bioinformatics analysis of the functional category, pathway, and integrated network, using Ingenuity Pathways Analysis, indicated that these genes activated by butyrate treatment are related to major cellular functions, including cell morphological changes, cell cycle arrest, and apoptosis. Our results offered insight into the butyrate-induced transcriptomic changes and will accelerate our discerning of the molecular fundamentals of epigenomic regulation. PMID:26819550

  1. A DNA Sequence Element That Advances Replication Origin Activation Time in Saccharomyces cerevisiae

    PubMed Central

    Pohl, Thomas J.; Kolor, Katherine; Fangman, Walton L.; Brewer, Bonita J.; Raghuraman, M. K.

    2013-01-01

    Eukaryotic origins of DNA replication undergo activation at various times in S-phase, allowing the genome to be duplicated in a temporally staggered fashion. In the budding yeast Saccharomyces cerevisiae, the activation times of individual origins are not intrinsic to those origins but are instead governed by surrounding sequences. Currently, there are two examples of DNA sequences that are known to advance origin activation time, centromeres and forkhead transcription factor binding sites. By combining deletion and linker scanning mutational analysis with two-dimensional gel electrophoresis to measure fork direction in the context of a two-origin plasmid, we have identified and characterized a 19- to 23-bp and a larger 584-bp DNA sequence that are capable of advancing origin activation time. PMID:24022751

  2. MESSA: MEta-Server for protein Sequence Analysis

    PubMed Central

    2012-01-01

    Background Computational sequence analysis, that is, prediction of local sequence properties, homologs, spatial structure and function from the sequence of a protein, offers an efficient way to obtain needed information about proteins under study. Since reliable prediction is usually based on the consensus of many computer programs, meta-severs have been developed to fit such needs. Most meta-servers focus on one aspect of sequence analysis, while others incorporate more information, such as PredictProtein for local sequence feature predictions, SMART for domain architecture and sequence motif annotation, and GeneSilico for secondary and spatial structure prediction. However, as predictions of local sequence properties, three-dimensional structure and function are usually intertwined, it is beneficial to address them together. Results We developed a MEta-Server for protein Sequence Analysis (MESSA) to facilitate comprehensive protein sequence analysis and gather structural and functional predictions for a protein of interest. For an input sequence, the server exploits a number of select tools to predict local sequence properties, such as secondary structure, structurally disordered regions, coiled coils, signal peptides and transmembrane helices; detect homologous proteins and assign the query to a protein family; identify three-dimensional structure templates and generate structure models; and provide predictive statements about the protein's function, including functional annotations, Gene Ontology terms, enzyme classification and possible functionally associated proteins. We tested MESSA on the proteome of Candidatus Liberibacter asiaticus. Manual curation shows that three-dimensional structure models generated by MESSA covered around 75% of all the residues in this proteome and the function of 80% of all proteins could be predicted. Availability MESSA is free for non-commercial use at http://prodata.swmed.edu/MESSA/ PMID:23031578

  3. Activity in the caudate nucleus of monkey during spatial sequencing.

    PubMed

    Kermadi, I; Joseph, J P

    1995-09-01

    1. There are indications that the execution of behavioral sequences involves the basal ganglia. In this study we examined the role of the caudate nucleus in the construction, storage, and execution of spatial plans. 2. Two monkeys (Macaca mulatta) were trained to perform sequences of saccades and arm movements. The animals had to remember the order of illumination, variable from one sequence to another, of three fixed spatial targets. After a delay, they had to visually orient toward, and press each target in the same order. Six different sequences were executed on the basis of the order of illumination of the targets. Single cell activity was recorded from the four caudate nuclei of the two monkeys. 3. Neural activity was analyzed in each sequence during 10 different periods: the instruction period in which the targets were illuminated, the three orientation periods toward the different targets, the three postsaccadic periods, and the three periods of target pressing. Statistical comparisons were made to detect differences between the different sequences with respect to activity in each period (sequence specificity). 4. A total of 2,100 neurons were studied, of which 387 were task related. The task-related cells were found in both the head and the body of the caudate nucleus. 5. During central fixation, anticipatory activity (n = 81) preceded onset of specific events. Four groups were considered: 1) neurons (n = 46) anticipating offset of the central fixation point, 2) neurons (n = 7) anticipating the illumination of any target, regardless of its spatial position or order of presentation (rank), 3) neurons (n = 17) anticipating the illumination of the first target, regardless of its spatial position, and 4) neurons (n = 11) anticipating the illumination of a given target, regardless of its rank. 6. Phasic visual responses to target onset were observed in 48 cells. The cells responded primarily to the contralateral and upper targets. In a majority (n = 35), visual

  4. Comparative DNA Sequence Analysis of Wheat and Rice Genomes

    PubMed Central

    Sorrells, Mark E.; La Rota, Mauricio; Bermudez-Kandianis, Catherine E.; Greene, Robert A.; Kantety, Ramesh; Munkvold, Jesse D.; Miftahudin; Mahmoud, Ahmed; Ma, Xuefeng; Gustafson, Perry J.; Qi, Lili L.; Echalier, Benjamin; Gill, Bikram S.; Matthews, David E.; Lazo, Gerard R.; Chao, Shiaoman; Anderson, Olin D.; Edwards, Hugh; Linkiewicz, Anna M.; Dubcovsky, Jorge; Akhunov, Eduard D.; Dvorak, Jan; Zhang, Deshui; Nguyen, Henry T.; Peng, Junhua; Lapitan, Nora L.V.; Gonzalez-Hernandez, Jose L.; Anderson, James A.; Hossain, Khwaja; Kalavacharla, Venu; Kianian, Shahryar F.; Choi, Dong-Woog; Close, Timothy J.; Dilbirligi, Muharrem; Gill, Kulvinder S.; Steber, Camille; Walker-Simmons, Mary K.; McGuire, Patrick E.; Qualset, Calvin O.

    2003-01-01

    The use of DNA sequence-based comparative genomics for evolutionary studies and for transferring information from model species to crop species has revolutionized molecular genetics and crop improvement strategies. This study compared 4485 expressed sequence tags (ESTs) that were physically mapped in wheat chromosome bins, to the public rice genome sequence data from 2251 ordered BAC/PAC clones using BLAST. A rice genome view of homologous wheat genome locations based on comparative sequence analysis revealed numerous chromosomal rearrangements that will significantly complicate the use of rice as a model for cross-species transfer of information in nonconserved regions. PMID:12902377

  5. Designing novel kinases using evolutionary sequence analysis

    NASA Astrophysics Data System (ADS)

    Mody, Areez; Weiner, Joan; Iyer, Lakshman; Ramanathan, Sharad

    2006-03-01

    Cellular pathways with new functions are thought to arise from the duplication and divergence of proteins in existing pathways. The MAP kinase pathways in eukaryotes provide one example of this. These pathways consist of the MAP kinase proteins which are responsible for evoking the correct response to external stimuli. In the yeast Saccharomyces cerevisiae these pathways detect pheromones, osmolar stresses and nutrient levels, leading the cell into dramatic changes of morphology. Despite being homologous to each other, the MAP kinase proteins show specificity of function. We investigate the nature of the amino acid sequences conferring this specificity. To this end, we i) search the sequences of similar proteins in other Eukaryote species, ii) make a study of simple theoretical models exploring the constraints felt by these protein segments and iii) experimentally construct, a large suite of hybrid proteins made of segments taken from the homologous proteins. These are then expressed in Yeast cells to see what function they are able to perform. Particularly we also ask whether it is possible to design a new kinase protein possessing new function and specificity.

  6. Prediction of Human Activity by Discovering Temporal Sequence Patterns.

    PubMed

    Li, Kang; Fu, Yun

    2014-08-01

    Early prediction of ongoing human activity has become more valuable in a large variety of time-critical applications. To build an effective representation for prediction, human activities can be characterized by a complex temporal composition of constituent simple actions and interacting objects. Different from early detection on short-duration simple actions, we propose a novel framework for long -duration complex activity prediction by discovering three key aspects of activity: Causality, Context-cue, and Predictability. The major contributions of our work include: (1) a general framework is proposed to systematically address the problem of complex activity prediction by mining temporal sequence patterns; (2) probabilistic suffix tree (PST) is introduced to model causal relationships between constituent actions, where both large and small order Markov dependencies between action units are captured; (3) the context-cue, especially interactive objects information, is modeled through sequential pattern mining (SPM), where a series of action and object co-occurrence are encoded as a complex symbolic sequence; (4) we also present a predictive accumulative function (PAF) to depict the predictability of each kind of activity. The effectiveness of our approach is evaluated on two experimental scenarios with two data sets for each: action-only prediction and context-aware prediction. Our method achieves superior performance for predicting global activity classes and local action units. PMID:26353344

  7. Quality Control and Analysis of NGS RNA Sequencing Data.

    PubMed

    Quinn, Emma M; McManus, Ross

    2015-01-01

    Transcriptome sequencing, where RNA is isolated, converted to library of cDNA fragments, and sequenced using next-generation sequencing technology, has become the method of choice for the genome-wide characterization of mRNA levels. It offers a more accurate quantification of transcript levels than array-based methods, but also has the added benefit of allowing the discovery of novel gene/transcripts, alternative splice junctions, and novel RNAs. In addition, RNA sequencing may be used to investigate differential gene expression, allelic imbalance, eQTL mapping, RNA editing, RNA-protein interactions, and alternative splicing. A number of statistical methods and tools are available for differential expression analysis using RNA sequencing data and these are continually being developed and improved to handle more complex experimental designs. This chapter describes an example workflow for the quality control and analysis of raw RNA sequencing reads for the purposes of differential gene expression analysis, followed by pathway/enrichment analysis of significantly different genes. The methods and tools described are just one example of how this analysis can be conducted, but they can be applied to most standard RNA sequencing studies of differential gene expression. The methods covered are based on Illumina HiSeq single-end 50 bp reads. However, all programs used are capable of working with paired-end data, subsequent to minor adaptations.

  8. Transcriptomic sequencing reveals a set of unique genes activated by butyrate-induced histone modification

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Butyrate is a nutritional element with strong epigenetic regulatory activity as an inhibitor of histone deacetylases (HDACs). Based on the analysis of differentially expressed genes induced by butyrate in the bovine epithelial cell using deep RNA-sequencing technology (RNA-seq), a set of unique gen...

  9. Fungal epoxide hydrolases: new landmarks in sequence-activity space.

    PubMed

    Smit, Martha S

    2004-03-01

    Epoxide hydrolases are useful catalysts for the hydrolytic kinetic resolution of epoxides, which are sought after intermediates for the synthesis of enantiopure fine chemicals. The epoxide hydrolases from Aspergillus niger and from the basidiomycetous yeasts Rhodotorula glutinis and Rhodosporidium toruloides have demonstrated potential as versatile, user friendly biocatalysts for organic synthesis. A recombinant A. niger epoxide hydrolase, produced by an overproducing A. niger strain, is already commercially available and recombinant yeast epoxide hydrolases expressed in Escherichia coli have shown excellent results. Within the vast body of activity information on the one hand and gene sequence information on the other hand, the epoxide hydrolases from the Rhodotorula spp. and A. niger stand out because we have sequence information as well as activity information for both the wild-type and recombinant forms of these enzymes.

  10. [Automatic analysis pipeline of next-generation sequencing data].

    PubMed

    Wenke, Li; Fengyu, Li; Siyao, Zhang; Bin, Cai; Na, Zheng; Yu, Nie; Dao, Zhou; Qian, Zhao

    2014-06-01

    The development of next-generation sequencing has generated high demand for data processing and analysis. Although there are a lot of software for analyzing next-generation sequencing data, most of them are designed for one specific function (e.g., alignment, variant calling or annotation). Therefore, it is necessary to combine them together for data analysis and to generate interpretable results for biologists. This study designed a pipeline to process Illumina sequencing data based on Perl programming language and SGE system. The pipeline takes original sequence data (fastq format) as input, calls the standard data processing software (e.g., BWA, Samtools, GATK, and Annovar), and finally outputs a list of annotated variants that researchers can further analyze. The pipeline simplifies the manual operation and improves the efficiency by automatization and parallel computation. Users can easily run the pipeline by editing the configuration file or clicking the graphical interface. Our work will facilitate the research projects using the sequencing technology.

  11. SeqCalc: A portable bioinformatics software for sequence analysis

    PubMed Central

    Vignesh, Dhandapani; Parameswari, Paul; Jin, Kim Hae; Pyo, Lim Yong

    2010-01-01

    Rapid genome sequencing enriched biological databases with enormous sequence data. Yet it remains a daunting task to unravel this information. However experimental and computational researchers lead their own way in analyzing sequence information. Here we introduce a standalone portable tool named “SeqCalc” that would assist the research personnel in computational sequence analysis and automated experimental calculations. Although several tools are available online for sequence analysis they serve only for one or two purposes. SeqCalc is a package of offline program, developed using Perl and TCL/Tk scripts that serve ten different applications. This tool would be an initiative to both experimental and computational researchers in their routine research. SeqCalc is executable in all windows operating systems. Availability SeqCalc can be freely downloaded at http://code.google.com/p/seqcalc. PMID:21364786

  12. Initial sequencing and comparative analysis of the mouse genome

    SciTech Connect

    Waterston, Robert H.; Lindblad-Toh, Kerstin; Birney, Ewan; Rogers, Jane; Abril, Josep F.; Agarwal, Pankaj; Agarwala, Richa; Ainscough, Rachel; Alexandersson, Marina; An, Peter; Antonarakis, Stylianos E.; Attwood, John; Baertsch, Robert; Bailey, Jonathon; Barlow, Karen; Beck, Stephan; Berry, Eric; Birren, Bruce; Bloom, Toby; Bork, Peer; Botcherby, Marc; Bray, Nicolas; Brent, Michael R.; Brown, Daniel G.; Brown, Stephen D.; Bult, Carol; Burton, John; Butler, Jonathan; Campbell, Robert D.; Carninci, Piero; Cawley, Simon; Chiaromonte, Francesca; Chinwalla, Asif T.; Church, Deanna M.; Clamp, Michele; Clee, Christopher; Collins, Francis S.; Cook, Lisa L.; Copley, Richard R.; Coulson, Alan; Couronne, Olivier; Cuff, James; Curwen, Val; Cutts, Tim; Daly, Mark; David, Robert; Davies, Joy; Delehaunty, Kimberly D.; Deri, Justin; Dermitzakis, Emmanouil T.; Dewey, Colin; Dickens, Nicholas J.; Diekhans, Mark; Dodge, Sheila; Dubchak, Inna; Dunn, Diane M.; Eddy, Sean R.; Elnitski, Laura; Emes, Richard D.; Eswara, Pallavi; Eyras, Eduardo; Felsenfeld, Adam; Fewell, Ginger A.; Flicek, Paul; Foley, Karen; Frankel, Wayne N.; Fulton, Lucinda A.; Fulton, Robert S.; Furey, Terrence S.; Gage, Diane; Gibbs, Richard A.; Glusman, Gustavo; Gnerre, Sante; Goldman, Nick; Goodstadt, Leo; Grafham, Darren; Graves, Tina A.; Green, Eric D.; Gregory, Simon; Guigo, Roderic; Guyer, Mark; Hardison, Ross C.; Haussler, David; Hayashizaki, Yoshihide; Hillier, LaDeana W.; Hinrichs, Angela; Hlavina, Wratko; Holzer, Timothy; Hsu, Fan; Hua, Axin; Hubbard, Tim; Hunt, Adrienne; Jackson, Ian; Jaffe, David B.; Johnson, L. Steven; Jones, Matthew; Jones, Thomas A.; Joy, Ann; Kamal, Michael; Karlsson, Elinor K.; Karolchik, Donna; Kasprzyk, Arkadiusz; Kawai, Jun; Keibler, Evan; Kells, Cristyn; Kent, W. James; Kirby, Andrew; Kolbe, Diana L.; Korf, Ian; Kucherlapati, Raju S.; Kulbokas III, Edward J.; Kulp, David; Landers, Tom; Leger, J.P.; Leonard, Steven; Letunic, Ivica; Levine, Rosie; et al.

    2002-12-15

    The sequence of the mouse genome is a key informational tool for understanding the contents of the human genome and a key experimental tool for biomedical research. Here, we report the results of an international collaboration to produce a high-quality draft sequence of the mouse genome. We also present an initial comparative analysis of the mouse and human genomes, describing some of the insights that can be gleaned from the two sequences. We discuss topics including the analysis of the evolutionary forces shaping the size, structure and sequence of the genomes; the conservation of large-scale synteny across most of the genomes; the much lower extent of sequence orthology covering less than half of the genomes; the proportions of the genomes under selection; the number of protein-coding genes; the expansion of gene families related to reproduction and immunity; the evolution of proteins; and the identification of intraspecies polymorphism.

  13. GENSTYLE: exploration and analysis of DNA sequences with genomic signature.

    PubMed

    Fertil, Bernard; Massin, Matthieu; Lespinats, Sylvain; Devic, Caroline; Dumee, Philippe; Giron, Alain

    2005-07-01

    GENSTYLE (http://Genstyle.imed.jussieu.fr) is a workspace designed for the characterization and classification of nucleotide sequences. Based on the genomic signature paradigm, GENSTYLE focuses on oligonucleotide frequencies in DNA sequences. Users can select sequences of interest in the GENSTYLE companion database, where the whole set of GenBank sequences is grouped per species, or upload their own sequences to work with. Tools for the exploration and analysis of signatures allow (i) identification of the origin of DNA segments (detection of rare species or species for which technical problems prevent fast characterization, such as micro-organisms with slow growth), (ii) analysis of the homogeneity of a genome and isolation of areas with novel functionality (horizontal transfers for example)--and (iii) molecular phylogeny and taxonomy.

  14. Laser Desorption Mass Spectrometry for DNA Sequencing and Analysis

    NASA Astrophysics Data System (ADS)

    Chen, C. H. Winston; Taranenko, N. I.; Golovlev, V. V.; Isola, N. R.; Allman, S. L.

    1998-03-01

    Rapid DNA sequencing and/or analysis is critically important for biomedical research. In the past, gel electrophoresis has been the primary tool to achieve DNA analysis and sequencing. However, gel electrophoresis is a time-consuming and labor-extensive process. Recently, we have developed and used laser desorption mass spectrometry (LDMS) to achieve sequencing of ss-DNA longer than 100 nucleotides. With LDMS, we succeeded in sequencing DNA in seconds instead of hours or days required by gel electrophoresis. In addition to sequencing, we also applied LDMS for the detection of DNA probes for hybridization LDMS was also used to detect short tandem repeats for forensic applications. Clinical applications for disease diagnosis such as cystic fibrosis caused by base deletion and point mutation have also been demonstrated. Experimental details will be presented in the meeting. abstract.

  15. Purification and sequencing of the active site tryptic peptide from penicillin-binding protein 1b of Escherichia coli

    SciTech Connect

    Nicholas, R.A.; Suzuki, H.; Hirota, Y.; Strominger, J.L.

    1985-07-02

    This paper reports the sequence of the active site peptide of penicillin-binding protein 1b from Escherichia coli. Purified penicillin-binding protein 1b was labeled with (/sup 14/C)penicillin G, digested with trypsin, and partially purified by gel filtration. Upon further purification by high-pressure liquid chromatography, two radioactive peaks were observed, and the major peak, representing over 75% of the applied radioactivity, was submitted to amino acid analysis and sequencing. The sequence Ser-Ile-Gly-Ser-Leu-Ala-Lys was obtained. The active site nucleophile was identified by digesting the purified peptide with aminopeptidase M and separating the radioactive products on high-pressure liquid chromatography. Amino acid analysis confirmed that the serine residue in the middle of the sequence was covalently bonded to the (/sup 14/C)penicilloyl moiety. A comparison of this sequence to active site sequences of other penicillin-binding proteins and beta-lactamases is presented.

  16. Lessons from next-generation sequencing analysis in hematological malignancies

    PubMed Central

    Braggio, E; Egan, J B; Fonseca, R; Stewart, A K

    2013-01-01

    Next-generation sequencing has led to a revolution in the study of hematological malignancies with a substantial number of publications and discoveries in the last few years. Significant discoveries associated with disease diagnosis, risk stratification, clonal evolution and therapeutic intervention have been generated by this powerful technology. As part of the post-genomic era, sequencing analysis will likely become part of routine clinical testing and the challenge will ultimately be successfully transitioning from gene discovery to preventive and therapeutic intervention as part of individualized medicine strategies. In this report, we review recent advances in the understanding of hematological malignancies derived through genome-wide sequence analysis. PMID:23872706

  17. Sequencing and Analysis of Neanderthal Genomic DNA

    SciTech Connect

    Noonan, James P.; Coop, Graham; Kudaravalli, Sridhar; Smith,Doug; Krause, Johannes; Alessi, Joe; Chen, Feng; Platt, Darren; Paabo,Svante; Pritchard, Jonathan K.; Rubin, Edward M.

    2006-06-13

    Recovery and analysis of multiple Neanderthal autosomalsequences using a metagenomic approach reveals that modern humans andNeanderthals split ~;400,000 years ago, without significant evidence ofsubsequent admixture.

  18. Sequence-specific DNA primer effects on telomerase polymerization activity.

    PubMed Central

    Lee, M S; Blackburn, E H

    1993-01-01

    The ribonucleoprotein enzyme telomerase synthesizes one strand of telomeric DNA by copying a template sequence within the RNA moiety of the enzyme. Kinetic studies of this polymerization reaction were used to analyze the mechanism and properties of the telomerase from Tetrahymena thermophila. This enzyme synthesizes TTGGGG repeats, the telomeric DNA sequence of this species, by elongating a DNA primer whose 3' end base pairs with the template-forming domain of the RNA. The enzyme was found to act nonprocessively with short (10- to 12-nucleotide) primers but to become processive as TTGGGG repeats were added. Variation of the 5' sequences of short primers with a common 3' end identified sequence-specific effects which are distinct from those involving base pairing of the 3' end of the primer with the RNA template and which can markedly induce enzyme activity by increasing the catalytic rate of the telomerase polymerization reaction. These results identify an additional mechanistic basis for telomere and DNA end recognition by telomerase in vivo. Images PMID:8413255

  19. Pre- and main-sequence evolution of solar activity

    NASA Technical Reports Server (NTRS)

    Walter, Frederick M.; Barry, Don C.

    1991-01-01

    The magnetic activity on single solarlike stars declines with stellar age. This has important consequences for the influence of the sun on the early solar system. What is meant by stellar activity, and how it is measured, is reviewed. Stellar activity on the premain-sequence phase of evolution is discussed; the classical T Tauri stars do not exhibit solarlike activity, while the naked T Tauri stars do. The emission surface fluxes of the naked T Tauri stars are similar to those of the youngest main-sequence G stars. The best representation for solarlike stars is a decay proportional to exp(A x t exp 0.5), where A is a function of line excitation temperature. From these decay laws, one can determine the interdependences of the activity, age, and rotation periods. The fluxes of ionizing photons at the earth early in its history are discussed; there was sufficient fluence to account for the observed isotopic ratios of the noble gases.

  20. Computer analysis of HIV epitope sequences

    SciTech Connect

    Gupta, G.; Myers, G.

    1990-01-01

    Phylogenetic tree analysis provide us with important general information regarding the extent and rate of HIV variation. Currently we are attempting to extend computer analysis and modeling to the V3 loop of the type 2 virus and its simian homologues, especially in light of the prominent role the latter will play in animal model studies. Moreover, it might be possible to attack the slightly similar V4 loop by this approach. However, the strategy relies very heavily upon natural'' information and constraints, thus there exist severe limitations upon the general applicability, in addition to uncertainties with regard to long-range residue interactions. 5 refs., 3 figs.

  1. DSAP: deep-sequencing small RNA analysis pipeline.

    PubMed

    Huang, Po-Jung; Liu, Yi-Chung; Lee, Chi-Ching; Lin, Wei-Chen; Gan, Richie Ruei-Chi; Lyu, Ping-Chiang; Tang, Petrus

    2010-07-01

    DSAP is an automated multiple-task web service designed to provide a total solution to analyzing deep-sequencing small RNA datasets generated by next-generation sequencing technology. DSAP uses a tab-delimited file as an input format, which holds the unique sequence reads (tags) and their corresponding number of copies generated by the Solexa sequencing platform. The input data will go through four analysis steps in DSAP: (i) cleanup: removal of adaptors and poly-A/T/C/G/N nucleotides; (ii) clustering: grouping of cleaned sequence tags into unique sequence clusters; (iii) non-coding RNA (ncRNA) matching: sequence homology mapping against a transcribed sequence library from the ncRNA database Rfam (http://rfam.sanger.ac.uk/); and (iv) known miRNA matching: detection of known miRNAs in miRBase (http://www.mirbase.org/) based on sequence homology. The expression levels corresponding to matched ncRNAs and miRNAs are summarized in multi-color clickable bar charts linked to external databases. DSAP is also capable of displaying miRNA expression levels from different jobs using a log(2)-scaled color matrix. Furthermore, a cross-species comparative function is also provided to show the distribution of identified miRNAs in different species as deposited in miRBase. DSAP is available at http://dsap.cgu.edu.tw.

  2. Genome sequencing and analysis conference grant

    SciTech Connect

    Venter, J.C.

    1995-10-01

    The 14 plenary session presentations focused on nematode; yeast; fruit fly; plants; mycobacteria; and man. In addition there were presentations on a variety of technical innovations including database developments and refinements, bioelectronic genesensors, computer-assisted multiplex techniques, and hybridization analysis with DNA chip technology. This document includes a list of exhibitors and abstracts of sessions.

  3. Applying machine learning techniques to DNA sequence analysis

    SciTech Connect

    Shavlik, J.W.

    1992-01-01

    We are developing a machine learning system that modifies existing knowledge about specific types of biological sequences. It does this by considering sample members and nonmembers of the sequence motif being learned. Using this information (which we call a domain theory''), our learning algorithm produces a more accurate representation of the knowledge needed to categorize future sequences. Specifically, the KBANN algorithm maps inference rules, such as consensus sequences, into a neural (connectionist) network. Neural network training techniques then use the training examples of refine these inference rules. We have been applying this approach to several problems in DNA sequence analysis and have also been extending the capabilities of our learning system along several dimensions.

  4. Data on meq gene sequence analysis of Ludhiana MDV isolates.

    PubMed

    Gupta, Mridula; Deka, Dipak; Ramneek

    2016-12-01

    The data described are related to the article entitled "Sequence Analysis of Meq oncogene among Indian isolates of Marek׳s Disease Herpesvirus" M. Gupta, D. Deka, Ramneek, 2016. Seven meq genes of Ludhiana Marek׳s disease virus (MDV) field isolates were PCR amplified by using proof reading Platinum Pfx DNA polymerase enzyme, sequenced and then analyzed for the distinct polymorphisms and point mutations. The sequences were named as LDH 1758, LDH 2003, LDH 2483, LDH 2614, LDH 2700, LDH 2929 and LDH 3262. At this point, their deduced Meq amino acid sequences were compared with GenBank available already sequenced meq genes worldwide in their deduced amino acid form to study their identity/similarity with each other. PMID:27656677

  5. Comprehensive analysis of sequences of a protein switch.

    PubMed

    Chen, Szu-Hua; Meller, Jaroslaw; Elber, Ron

    2016-01-01

    Switches form a special class of proteins that dramatically change their three-dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963-11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N- and C- termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis. PMID:26073558

  6. Food Fish Identification from DNA Extraction through Sequence Analysis

    ERIC Educational Resources Information Center

    Hallen-Adams, Heather E.

    2015-01-01

    This experiment exposed 3rd and 4th y undergraduates and graduate students taking a course in advanced food analysis to DNA extraction, polymerase chain reaction (PCR), and DNA sequence analysis. Students provided their own fish sample, purchased from local grocery stores, and the class as a whole extracted DNA, which was then subjected to PCR,…

  7. Basic Sequence Analysis Techniques for Use with Audit Trail Data

    ERIC Educational Resources Information Center

    Judd, Terry; Kennedy, Gregor

    2008-01-01

    Audit trail analysis can provide valuable insights to researchers and evaluators interested in comparing and contrasting designers' expectations of use and students' actual patterns of use of educational technology environments (ETEs). Sequence analysis techniques are particularly effective but have been neglected to some extent because of real…

  8. Streamlined analysis of duplex sequencing data with Du Novo.

    PubMed

    Stoler, Nicholas; Arbeithuber, Barbara; Guiblet, Wilfried; Makova, Kateryna D; Nekrutenko, Anton

    2016-01-01

    Duplex sequencing was originally developed to detect rare nucleotide polymorphisms normally obscured by the noise of high-throughput sequencing. Here we describe a new, streamlined, reference-free approach for the analysis of duplex sequencing data. We show the approach performs well on simulated data and precisely reproduces previously published results and apply it to a newly produced dataset, enabling us to type low-frequency variants in human mitochondrial DNA. Finally, we provide all necessary tools as stand-alone components as well as integrate them into the Galaxy platform. All analyses performed in this manuscript can be repeated exactly as described at http://usegalaxy.org/duplex . PMID:27566673

  9. Statistical design and analysis of RNA sequencing data.

    PubMed

    Auer, Paul L; Doerge, R W

    2010-06-01

    Next-generation sequencing technologies are quickly becoming the preferred approach for characterizing and quantifying entire genomes. Even though data produced from these technologies are proving to be the most informative of any thus far, very little attention has been paid to fundamental design aspects of data collection and analysis, namely sampling, randomization, replication, and blocking. We discuss these concepts in an RNA sequencing framework. Using simulations we demonstrate the benefits of collecting replicated RNA sequencing data according to well known statistical designs that partition the sources of biological and technical variation. Examples of these designs and their corresponding models are presented with the goal of testing differential expression.

  10. A comparative analysis of multiple sequence alignments for biological data.

    PubMed

    Manzoor, Umar; Shahid, Sarosh; Zafar, Bassam

    2015-01-01

    Multiple sequence alignment plays a key role in the computational analysis of biological data. Different programs are developed to analyze the sequence similarity. This paper highlights the algorithmic techniques of the most popular multiple sequence alignment programs. These programs are then evaluated on the basis of execution time and scalability. The overall performance of these programs is assessed to highlight their strengths and weaknesses with reference to their algorithmic techniques. In terms of overall alignment quality, T-Coffee and Mafft attain the highest average scores, whereas K-align has the minimum computation time. PMID:26405947

  11. Streamlined analysis of duplex sequencing data with Du Novo.

    PubMed

    Stoler, Nicholas; Arbeithuber, Barbara; Guiblet, Wilfried; Makova, Kateryna D; Nekrutenko, Anton

    2016-08-26

    Duplex sequencing was originally developed to detect rare nucleotide polymorphisms normally obscured by the noise of high-throughput sequencing. Here we describe a new, streamlined, reference-free approach for the analysis of duplex sequencing data. We show the approach performs well on simulated data and precisely reproduces previously published results and apply it to a newly produced dataset, enabling us to type low-frequency variants in human mitochondrial DNA. Finally, we provide all necessary tools as stand-alone components as well as integrate them into the Galaxy platform. All analyses performed in this manuscript can be repeated exactly as described at http://usegalaxy.org/duplex .

  12. The Main Sequence of Explosive Solar Active Regions: Comparison of Emerging and Mature Active Regions

    NASA Technical Reports Server (NTRS)

    Falconer, David; Moore, Ron

    2011-01-01

    For mature active regions, an active region s magnetic flux content determines the maximum free energy the active region can have. Most Large flares and CMEs occur in active regions that are near their free-energy limit. Active-region flare power radiated in the GOES 1-8 band increases steeply as the free-energy limit is approached. We infer that the free-energy limit is set by the rate of release of an active region s free magnetic energy by flares, CMEs and coronal heating balancing the maximum rate the Sun can put free energy into the active region s magnetic field. This balance of maximum power results in explosive active regions residing in a "mainsequence" in active-region (flux content, free energy content) phase space, which sequence is analogous to the main sequence of hydrogen-burning stars in (mass, luminosity) phase space.

  13. The Saccharomyces cerevisiae PUT3 activator protein associates with proline-specific upstream activation sequences.

    PubMed Central

    Siddiqui, A H; Brandriss, M C

    1989-01-01

    The PUT1 and PUT2 genes encoding the enzymes of the proline utilization pathway of Saccharomyces cerevisiae are induced by proline and activated by the product of the PUT3 gene. Two upstream activation sequences (UASs) in the PUT1 promoter were identified by homology to the PUT2 UAS. Deletion analysis of the two PUT1 UASs showed that they were functionally independent and additive in producing maximal levels of gene expression. The consensus PUT UAS is a 21-base-pair partially palindromic sequence required in vivo for induction of both genes. The results of a gel mobility shift assay demonstrated that the proline-specific UAS is the binding site of a protein factor. In vitro complex formation was observed in crude extracts of yeast strains carrying either a single genomic copy of the PUT3 gene or the cloned PUT3 gene on a 2 microns plasmid, and the binding was dosage dependent. DNA-binding activity was not observed in extracts of strains carrying either a put3 mutation that caused a noninducible (Put-) phenotype or a deletion of the gene. Wild-type levels of complex formation were observed in an extract of a strain carrying an allele of PUT3 that resulted in a constitutive (Put+) phenotype. Extracts from a strain carrying a PUT3-lacZ gene fusion formed two complexes of slower mobility than the wild-type complex. We conclude that the PUT3 product is either a DNA-binding protein or part of a DNA-binding complex that recognizes the UASs of both PUT1 and PUT2. Binding was observed in extracts of a strain grown in the presence or absence of proline, demonstrating the constitutive nature of the DNA-protein interaction. Images PMID:2689862

  14. Bioinformatics analysis of circulating cell-free DNA sequencing data.

    PubMed

    Chan, Landon L; Jiang, Peiyong

    2015-10-01

    The discovery of cell-free DNA molecules in plasma has opened up numerous opportunities in noninvasive diagnosis. Cell-free DNA molecules have become increasingly recognized as promising biomarkers for detection and management of many diseases. The advent of next generation sequencing has provided unprecedented opportunities to scrutinize the characteristics of cell-free DNA molecules in plasma in a genome-wide fashion and at single-base resolution. Consequently, clinical applications of circulating cell-free DNA analysis have not only revolutionized noninvasive prenatal diagnosis but also facilitated cancer detection and monitoring toward an era of blood-based personalized medicine. With the remarkably increasing throughput and lowering cost of next generation sequencing, bioinformatics analysis becomes increasingly demanding to understand the large amount of data generated by these sequencing platforms. In this Review, we highlight the major bioinformatics algorithms involved in the analysis of cell-free DNA sequencing data. Firstly, we briefly describe the biological properties of these molecules and provide an overview of the general bioinformatics approach for the analysis of cell-free DNA. Then, we discuss the specific upstream bioinformatics considerations concerning the analysis of sequencing data of circulating cell-free DNA, followed by further detailed elaboration on each key clinical situation in noninvasive prenatal diagnosis and cancer management where downstream bioinformatics analysis is heavily involved. We also discuss bioinformatics analysis as well as clinical applications of the newly developed massively parallel bisulfite sequencing of cell-free DNA. Finally, we offer our perspectives on the future development of bioinformatics in noninvasive diagnosis.

  15. High Throughput Plasmid Sequencing with Illumina and CLC Bio (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema

    Athavale, Ajay [Monsanto

    2016-07-12

    Ajay Athavale (Monsanto) presents "High Throughput Plasmid Sequencing with Illumina and CLC Bio" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  16. High Throughput Plasmid Sequencing with Illumina and CLC Bio (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    SciTech Connect

    Athavale, Ajay

    2012-06-01

    Ajay Athavale (Monsanto) presents "High Throughput Plasmid Sequencing with Illumina and CLC Bio" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  17. Deep sequencing analysis of phage libraries using Illumina platform.

    PubMed

    Matochko, Wadim L; Chu, Kiki; Jin, Bingjie; Lee, Sam W; Whitesides, George M; Derda, Ratmir

    2012-09-01

    This paper presents an analysis of phage-displayed libraries of peptides using Illumina. We describe steps for the preparation of short DNA fragments for deep sequencing and MatLab software for the analysis of the results. Screening of peptide libraries displayed on the surface of bacteriophage (phage display) can be used to discover peptides that bind to any target. The key step in this discovery is the analysis of peptide sequences present in the library. This analysis is usually performed by Sanger sequencing, which is labor intensive and limited to examination of a few hundred phage clones. On the other hand, Illumina deep-sequencing technology can characterize over 10(7) reads in a single run. We applied Illumina sequencing to analyze phage libraries. Using PCR, we isolated the variable regions from M13KE phage vectors from a phage display library. The PCR primers contained (i) sequences flanking the variable region, (ii) barcodes, and (iii) variable 5'-terminal region. We used this approach to examine how diversity of peptides in phage display libraries changes as a result of amplification of libraries in bacteria. Using HiSeq single-end Illumina sequencing of these fragments, we acquired over 2×10(7) reads, 57 base pairs (bp) in length. Each read contained information about the barcode (6bp), one complimentary region (12bp) and a variable region (36bp). We applied this sequencing to a model library of 10(6) unique clones and observed that amplification enriches ∼150 clones, which dominate ∼20% of the library. Deep sequencing, for the first time, characterized the collapse of diversity in phage libraries. The results suggest that screens based on repeated amplification and small-scale sequencing identify a few binding clones and miss thousands of useful clones. The deep sequencing approach described here could identify under-represented clones in phage screens. It could also be instrumental in developing new screening strategies, which can preserve

  18. Analysis of Mitochondrial Control Region Using Sanger Sequencing.

    PubMed

    Ballard, David

    2016-01-01

    The analysis of mitochondrial DNA (mtDNA) is an established forensic tool and has been used extensively to aid with both the identification of human remains and evidence recovered from scenes of crime. The biology of mtDNA confers both advantages and disadvantages when using it as a tool for identification. It benefits from a high copy number, which facilitates analysis from samples with highly degraded DNA or trace amounts of DNA, but the maternal mode of inheritance restricts its power of discrimination. With Next Generation Sequencing being used in research and some forensic casework laboratories the scope of mtDNA analysis in forensic casework may expand in the near future. Currently, however, most casework laboratories rely on Sanger sequencing and an established method for analyzing the hypervariable sequence regions is described. PMID:27259738

  19. Complete genomic sequence analysis of norovirus isolated from South Korea.

    PubMed

    Lee, Gyu-Cheol; Jung, Gyoo Seung; Lee, Chan Hee

    2012-10-01

    The complete nucleotide and deduced amino acid sequences of the RNA genome of a recently isolated norovirus (NoV) from Korea, designated Hu/GII-4/CBNU2/2007/KR (CBNU2), were determined and characterized by phylogenetic comparison with several genetically diverse NoV sequences. The RNA genome of CBNU2 is 7,560 nucleotides in length, excluding the 3' poly (A) tract. It includes three open reading frames (ORFs): ORF1, which encodes the nonstructural polyprotein (5-5,104); ORF2, which encodes VP1 (5,085-6,707); and ORF3, which encodes VP2 (6,707-7,513). ORF2-based phylogenetic analysis revealed that CBNU2 belonged to the GII.4 genotype, the most prevalent genotype, and formed a cluster with NoVs isolated from Asian regions, between 2006 and 2008. Comparative analysis with the consensus sequence of 207 completely sequenced NoV genomes showed 47 mismatched nucleotides: 26 in ORF1, 14 in ORF2, and 7 in ORF3, resulting in 8 amino acid changes: 3 in ORF1, 2 in ORF2, and 3 in ORF3. Phylogenetic analysis with full genome ORF1, ORF2, and ORF3 nucleotide sequences obtained from CBNU2 and each of the other representative NoV genomes suggested that CBNU2 had not undergone recombination with any of the other NoVs. A SimPlot analysis further supported this finding.

  20. Analysis and Visualization Tool for Targeted Amplicon Bisulfite Sequencing on Ion Torrent Sequencers.

    PubMed

    Pabinger, Stephan; Ernst, Karina; Pulverer, Walter; Kallmeyer, Rainer; Valdes, Ana M; Metrustry, Sarah; Katic, Denis; Nuzzo, Angelo; Kriegner, Albert; Vierlinger, Klemens; Weinhaeusel, Andreas

    2016-01-01

    Targeted sequencing of PCR amplicons generated from bisulfite deaminated DNA is a flexible, cost-effective way to study methylation of a sample at single CpG resolution and perform subsequent multi-target, multi-sample comparisons. Currently, no platform specific protocol, support, or analysis solution is provided to perform targeted bisulfite sequencing on a Personal Genome Machine (PGM). Here, we present a novel tool, called TABSAT, for analyzing targeted bisulfite sequencing data generated on Ion Torrent sequencers. The workflow starts with raw sequencing data, performs quality assessment, and uses a tailored version of Bismark to map the reads to a reference genome. The pipeline visualizes results as lollipop plots and is able to deduce specific methylation-patterns present in a sample. The obtained profiles are then summarized and compared between samples. In order to assess the performance of the targeted bisulfite sequencing workflow, 48 samples were used to generate 53 different Bisulfite-Sequencing PCR amplicons from each sample, resulting in 2,544 amplicon targets. We obtained a mean coverage of 282X using 1,196,822 aligned reads. Next, we compared the sequencing results of these targets to the methylation level of the corresponding sites on an Illumina 450k methylation chip. The calculated average Pearson correlation coefficient of 0.91 confirms the sequencing results with one of the industry-leading CpG methylation platforms and shows that targeted amplicon bisulfite sequencing provides an accurate and cost-efficient method for DNA methylation studies, e.g., to provide platform-independent confirmation of Illumina Infinium 450k methylation data. TABSAT offers a novel way to analyze data generated by Ion Torrent instruments and can also be used with data from the Illumina MiSeq platform. It can be easily accessed via the Platomics platform, which offers a web-based graphical user interface along with sample and parameter storage. TABSAT is freely

  1. Analysis and Visualization Tool for Targeted Amplicon Bisulfite Sequencing on Ion Torrent Sequencers

    PubMed Central

    Pabinger, Stephan; Ernst, Karina; Pulverer, Walter; Kallmeyer, Rainer; Valdes, Ana M.; Metrustry, Sarah; Katic, Denis; Nuzzo, Angelo; Kriegner, Albert; Vierlinger, Klemens; Weinhaeusel, Andreas

    2016-01-01

    Targeted sequencing of PCR amplicons generated from bisulfite deaminated DNA is a flexible, cost-effective way to study methylation of a sample at single CpG resolution and perform subsequent multi-target, multi-sample comparisons. Currently, no platform specific protocol, support, or analysis solution is provided to perform targeted bisulfite sequencing on a Personal Genome Machine (PGM). Here, we present a novel tool, called TABSAT, for analyzing targeted bisulfite sequencing data generated on Ion Torrent sequencers. The workflow starts with raw sequencing data, performs quality assessment, and uses a tailored version of Bismark to map the reads to a reference genome. The pipeline visualizes results as lollipop plots and is able to deduce specific methylation-patterns present in a sample. The obtained profiles are then summarized and compared between samples. In order to assess the performance of the targeted bisulfite sequencing workflow, 48 samples were used to generate 53 different Bisulfite-Sequencing PCR amplicons from each sample, resulting in 2,544 amplicon targets. We obtained a mean coverage of 282X using 1,196,822 aligned reads. Next, we compared the sequencing results of these targets to the methylation level of the corresponding sites on an Illumina 450k methylation chip. The calculated average Pearson correlation coefficient of 0.91 confirms the sequencing results with one of the industry-leading CpG methylation platforms and shows that targeted amplicon bisulfite sequencing provides an accurate and cost-efficient method for DNA methylation studies, e.g., to provide platform-independent confirmation of Illumina Infinium 450k methylation data. TABSAT offers a novel way to analyze data generated by Ion Torrent instruments and can also be used with data from the Illumina MiSeq platform. It can be easily accessed via the Platomics platform, which offers a web-based graphical user interface along with sample and parameter storage. TABSAT is freely

  2. Comparative sequence analysis for Brassica oleracea with similar sequences in B. rapa and Arabidopsis thaliana.

    PubMed

    Qiu, Dan; Gao, Muqiang; Li, Genyi; Quiros, Carlos

    2009-04-01

    We sequenced five BAC clones of Brassica oleracea doubled haploid 'Early Big' broccoli containing major genes in the aliphatic glucosinolate pathway, and comparatively analyzed them with similar sequences in A. thaliana and B. rapa. Additionally, we included in the analysis published sequences from three other B. oleracea BAC clones and a contig of this species corresponding to segments in A. thaliana chromosomes IV and V. A total of 2,946 kb of B. oleracea, 1,069 kb of B. rapa sequence and 2,607 kb of A. thaliana sequence were compared and analyzed. We found conserved collinearity for gene order and content restricted to specific chromosomal segments, but breaks in collinearity were frequent resulting in gene absence likely not due to gene loss but rearrangements. B. oleracea has the lowest gene density of the three species, followed by B. rapa. The genome expansion of the Brassica species, B. oleracea in particular, is due to larger introns and gene spacers resulting from frequent insertion of DNA transposons and retrotransposons. These findings are discussed in relation to the possible origin and evolution of the Brassica genomes.

  3. The BsaHI restriction-modification system: Cloning, sequencing and analysis of conserved motifs

    PubMed Central

    Neely, Robert K; Roberts, Richard J

    2008-01-01

    Background Restriction and modification enzymes typically recognise short DNA sequences of between two and eight bases in length. Understanding the mechanism of this recognition represents a significant challenge that we begin to address for the BsaHI restriction-modification system, which recognises the six base sequence GRCGYC. Results The DNA sequences of the genes for the BsaHI methyltransferase, bsaHIM, and restriction endonuclease, bsaHIR, have been determined (GenBank accession #EU386360), cloned and expressed in E. coli. Both the restriction endonuclease and methyltransferase enzymes share significant similarity with a group of 6 other enzymes comprising the restriction-modification systems HgiDI and HgiGI and the putative HindVP, NlaCORFDP, NpuORFC228P and SplZORFNP restriction-modification systems. A sequence alignment of these homologues shows that their amino acid sequences are largely conserved and highlights several motifs of interest. We target one such conserved motif, reading SPERRFD, at the C-terminal end of the bsaHIR gene. A mutational analysis of these amino acids indicates that the motif is crucial for enzymatic activity. Sequence alignment of the methyltransferase gene reveals a short motif within the target recognition domain that is conserved among enzymes recognising the same sequences. Thus, this motif may be used as a diagnostic tool to define the recognition sequences of the cytosine C5 methyltransferases. Conclusion We have cloned and sequenced the BsaHI restriction and modification enzymes. We have identified a region of the R. BsaHI enzyme that is crucial for its activity. Analysis of the amino acid sequence of the BsaHI methyltransferase enzyme led us to propose two new motifs that can be used in the diagnosis of the recognition sequence of the cytosine C5-methyltransferases. PMID:18479503

  4. Solexa sequencing based transcriptome analysis of Helicoverpa armigera larvae.

    PubMed

    Li, Jigang; Li, Xiumin; Chen, Yongli; Yang, Zhongxiang; Guo, Sandui

    2012-12-01

    Helicoverpa armigera (Hübner) is a polyphagous Lepidoptera pest which causes great economic losses in crop production worldwide. In contrast to its agricultural importance, advances in the molecular aspects of this insect are quite limited. In the present study, Illumina's SOLEXA sequencing was adopted to determine the transcriptome of young H. armigera larvae. About 7 gigabases of raw sequence data was generated and assembled into 116,601 contigs with an average length of 389 base pairs after data preprocess. 37,352 of these contigs were annotated by searching against Uniref 100 of UniProt database. The annotated sequences were functionally classified into three groups including biological process (15,632 sequences), cellular component (9,562 sequences) and molecular function (19,258 sequences). KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis showed that 1,409 contigs predicted to encode enzymes with enzyme commission numbers were mapped into 220 KEGG pathways in total. Finally, contigs with simple sequence repeats were derived from this dataset. PMID:23065207

  5. Sequence analysis of chromatin immunoprecipitation data for transcription factors

    PubMed Central

    Fraenkel, Ernest

    2013-01-01

    Chromatin immunoprecipitation (ChIP) experiments allow the location of transcription factors to be determined across the genome. Subsequent analysis of the sequences of the identified regions allows binding to be localized at a higher resolution than can be achieved by current high-throughput experiments without sequence analysis, and may provide important insight into the regulatory programs enacted by the protein of interest. In this chapter we review the tools, workflow, and common pitfalls of such analyses, and recommend strategies for effective motif discovery from these data. PMID:20827592

  6. Validation of Genotyping-By-Sequencing Analysis in Populations of Tetraploid Alfalfa by 454 Sequencing

    PubMed Central

    Rocher, Solen; Jean, Martine; Castonguay, Yves; Belzile, François

    2015-01-01

    Genotyping-by-sequencing (GBS) is a relatively low-cost high throughput genotyping technology based on next generation sequencing and is applicable to orphan species with no reference genome. A combination of genome complexity reduction and multiplexing with DNA barcoding provides a simple and affordable way to resolve allelic variation between plant samples or populations. GBS was performed on ApeKI libraries using DNA from 48 genotypes each of two heterogeneous populations of tetraploid alfalfa (Medicago sativa spp. sativa): the synthetic cultivar Apica (ATF0) and a derived population (ATF5) obtained after five cycles of recurrent selection for superior tolerance to freezing (TF). Nearly 400 million reads were obtained from two lanes of an Illumina HiSeq 2000 sequencer and analyzed with the Universal Network-Enabled Analysis Kit (UNEAK) pipeline designed for species with no reference genome. Following the application of whole dataset-level filters, 11,694 single nucleotide polymorphism (SNP) loci were obtained. About 60% had a significant match on the Medicago truncatula syntenic genome. The accuracy of allelic ratios and genotype calls based on GBS data was directly assessed using 454 sequencing on a subset of SNP loci scored in eight plant samples. Sequencing depth in this study was not sufficient for accurate tetraploid allelic dosage, but reliable genotype calls based on diploid allelic dosage were obtained when using additional quality filtering. Principal Component Analysis of SNP loci in plant samples revealed that a small proportion (<5%) of the genetic variability assessed by GBS is able to differentiate ATF0 and ATF5. Our results confirm that analysis of GBS data using UNEAK is a reliable approach for genome-wide discovery of SNP loci in outcrossed polyploids. PMID:26115486

  7. Validation of Genotyping-By-Sequencing Analysis in Populations of Tetraploid Alfalfa by 454 Sequencing.

    PubMed

    Rocher, Solen; Jean, Martine; Castonguay, Yves; Belzile, François

    2015-01-01

    Genotyping-by-sequencing (GBS) is a relatively low-cost high throughput genotyping technology based on next generation sequencing and is applicable to orphan species with no reference genome. A combination of genome complexity reduction and multiplexing with DNA barcoding provides a simple and affordable way to resolve allelic variation between plant samples or populations. GBS was performed on ApeKI libraries using DNA from 48 genotypes each of two heterogeneous populations of tetraploid alfalfa (Medicago sativa spp. sativa): the synthetic cultivar Apica (ATF0) and a derived population (ATF5) obtained after five cycles of recurrent selection for superior tolerance to freezing (TF). Nearly 400 million reads were obtained from two lanes of an Illumina HiSeq 2000 sequencer and analyzed with the Universal Network-Enabled Analysis Kit (UNEAK) pipeline designed for species with no reference genome. Following the application of whole dataset-level filters, 11,694 single nucleotide polymorphism (SNP) loci were obtained. About 60% had a significant match on the Medicago truncatula syntenic genome. The accuracy of allelic ratios and genotype calls based on GBS data was directly assessed using 454 sequencing on a subset of SNP loci scored in eight plant samples. Sequencing depth in this study was not sufficient for accurate tetraploid allelic dosage, but reliable genotype calls based on diploid allelic dosage were obtained when using additional quality filtering. Principal Component Analysis of SNP loci in plant samples revealed that a small proportion (<5%) of the genetic variability assessed by GBS is able to differentiate ATF0 and ATF5. Our results confirm that analysis of GBS data using UNEAK is a reliable approach for genome-wide discovery of SNP loci in outcrossed polyploids.

  8. WBSA: web service for bisulfite sequencing data analysis.

    PubMed

    Liang, Fang; Tang, Bixia; Wang, Yanqing; Wang, Jianfeng; Yu, Caixia; Chen, Xu; Zhu, Junwei; Yan, Jiangwei; Zhao, Wenming; Li, Rujiao

    2014-01-01

    Whole-Genome Bisulfite Sequencing (WGBS) and genome-wide Reduced Representation Bisulfite Sequencing (RRBS) are widely used to study DNA methylation. However, data analysis is complicated, lengthy, and hampered by a lack of seamless analytical pipelines. To address these issues, we developed a convenient, stable, and efficient web service called Web Service for Bisulfite Sequencing Data Analysis (WBSA) to analyze bisulfate sequencing data. WBSA focuses on not only CpG methylation, which is the most common biochemical modification in eukaryotic DNA, but also non-CG methylation, which have been observed in plants, iPS cells, oocytes, neurons and stem cells of human. WBSA comprises three main modules as follows: WGBS data analysis, RRBS data analysis, and differentially methylated region (DMR) identification. The WGBS and RRBS modules execute read mapping, methylation site identification, annotation, and advanced analysis, whereas the DMR module identifies actual DMRs and annotates their correlations to genes. WBSA can be accessed and used without charge either online or local version. WBSA also includes the executables of the Portable Batch System (PBS) and standalone versions that can be downloaded from the website together with the installation instructions. WBSA is available at no charge for academic users at http://wbsa.big.ac.cn.

  9. WBSA: Web Service for Bisulfite Sequencing Data Analysis

    PubMed Central

    Wang, Yanqing; Wang, Jianfeng; Yu, Caixia; Chen, Xu; Zhu, Junwei; Yan, Jiangwei; Zhao, Wenming; Li, Rujiao

    2014-01-01

    Whole-Genome Bisulfite Sequencing (WGBS) and genome-wide Reduced Representation Bisulfite Sequencing (RRBS) are widely used to study DNA methylation. However, data analysis is complicated, lengthy, and hampered by a lack of seamless analytical pipelines. To address these issues, we developed a convenient, stable, and efficient web service called Web Service for Bisulfite Sequencing Data Analysis (WBSA) to analyze bisulfate sequencing data. WBSA focuses on not only CpG methylation, which is the most common biochemical modification in eukaryotic DNA, but also non-CG methylation, which have been observed in plants, iPS cells, oocytes, neurons and stem cells of human. WBSA comprises three main modules as follows: WGBS data analysis, RRBS data analysis, and differentially methylated region (DMR) identification. The WGBS and RRBS modules execute read mapping, methylation site identification, annotation, and advanced analysis, whereas the DMR module identifies actual DMRs and annotates their correlations to genes. WBSA can be accessed and used without charge either online or local version. WBSA also includes the executables of the Portable Batch System (PBS) and standalone versions that can be downloaded from the website together with the installation instructions. WBSA is available at no charge for academic users at http://wbsa.big.ac.cn. PMID:24497972

  10. Complete VAX/VMS DNA/protein sequence analysis system

    SciTech Connect

    Smith, D.W.

    1987-05-01

    A complete yet flexible system of programs and database libraries for analysis of DNA, RNA and protein sequences is implemented for VAX/VMS computers. Types of analysis include 1) construction and analysis of chimeric sequences (cloning in the VAX), 2) multiple analysis of one or more single sequences, 3) search and comparison studies using sequence libraries, and 4) direct input and analysis of experimental data. Published groups of programs, including the Staden, Los Alamos, Zuker, Pearson, and PHYLIP programs, are used. GenBank and EMBL DNA libraries and PIR and Doolittle NEWAT protein libraries are available, with associated programs. The system is tutorial, with online documentation for relevent VAX software, the programs, and the databases. The complete documentation is flexibly maintained on reserve via computer printout placed in 3-ring binders. Command files are used extensively; porting of the entire system to another VAX/VMS system requires modification of a single command. Users of the system are members of a VAX group, with automatic implementation of the system upon login. The present system occupies about 140,000 blocks, and is easily expanded, or contracted, as desired. The UCSD system is used extensively for both teaching and research purposes. Use of microcomputers emulating Tektronix 4014 graphics terminals permits saving of graphics output to disk for subsequent modification to generate high quality publishable figures.

  11. Complete genome sequencing and comparative genomic analysis of functionally diverse Lysinibacillus sphaericus III(3)7.

    PubMed

    Rey, Andrés; Silva-Quintero, Laura; Dussán, Jenny

    2016-09-01

    Lysinibacillus sphaericus III(3)7 is a native Colombian strain, the first one isolated from soil samples. This strain has shown high levels of pathogenic activity against Culex quinquefaciatus larvae in laboratory assays compared to other members of the same species. Using Pacific Biosciences sequencing technology we sequenced, annotated (de novo) and described the genome of strain III(3)7, achieving a complete genome sequence status. We then performed a comparative analysis between the newly sequenced genome and the ones previously reported for Colombian isolates L. sphaericus OT4b.31, CBAM5 and OT4b.25, with the inclusion of L. sphaericus C3-41 that has been used as a reference genome for most of previous genome sequencing projects. We concluded that L. sphaericus III(3)7 is highly similar with strain OT4b.25 and shares high levels of synteny with isolates CBAM5 and C3-41. PMID:27419068

  12. Medical target prediction from genome sequence: combining different sequence analysis algorithms with expert knowledge and input from artificial intelligence approaches.

    PubMed

    Dandekar, T; Du, F; Schirmer, R H; Schmidt, S

    2001-12-01

    By exploiting the rapid increase in available sequence data, the definition of medically relevant protein targets has been improved by a combination of: (i) differential genome analysis (target list): and (ii) analysis of individual proteins (target analysis). Fast sequence comparisons, data mining, and genetic algorithms further promote these procedures. Mycobacterium tuberculosis proteins were chosen as applied examples.

  13. Neutron activation analysis system

    DOEpatents

    Taylor, M.C.; Rhodes, J.R.

    1973-12-25

    A neutron activation analysis system for monitoring a generally fluid media, such as slurries, solutions, and fluidized powders, including two separate conduit loops for circulating fluid samples within the range of radiation sources and detectors is described. Associated with the first loop is a neutron source that emits s high flux of slow and thermal neutrons. The second loop employs a fast neutron source, the flux from which is substantially free of thermal neutrons. Adjacent to both loops are gamma counters for spectrographic determination of the fluid constituents. Other gsmma sources and detectors are arranged across a portion of each loop for deterMining the fluid density. (Official Gazette)

  14. Educational Software for the Analysis of DNA and Protein Sequences.

    ERIC Educational Resources Information Center

    Maloy, Stanley; Olson, Sue

    1989-01-01

    Describes the development of the microcomputer-based educational software, DNAzoom, which was designed to introduce undergraduates in molecular biology to computer analysis of DNA protein sequences. Highlights include graphical presentation of data, the functional use of color, a menu-oriented interface, and students' evaluations of the software.…

  15. Sequence analysis of the genome of carnation (Dianthus caryophyllus L.).

    PubMed

    Yagi, Masafumi; Kosugi, Shunichi; Hirakawa, Hideki; Ohmiya, Akemi; Tanase, Koji; Harada, Taro; Kishimoto, Kyutaro; Nakayama, Masayoshi; Ichimura, Kazuo; Onozaki, Takashi; Yamaguchi, Hiroyasu; Sasaki, Nobuhiro; Miyahara, Taira; Nishizaki, Yuzo; Ozeki, Yoshihiro; Nakamura, Noriko; Suzuki, Takamasa; Tanaka, Yoshikazu; Sato, Shusei; Shirasawa, Kenta; Isobe, Sachiko; Miyamura, Yoshinori; Watanabe, Akiko; Nakayama, Shinobu; Kishida, Yoshie; Kohara, Mitsuyo; Tabata, Satoshi

    2014-06-01

    The whole-genome sequence of carnation (Dianthus caryophyllus L.) cv. 'Francesco' was determined using a combination of different new-generation multiplex sequencing platforms. The total length of the non-redundant sequences was 568,887,315 bp, consisting of 45,088 scaffolds, which covered 91% of the 622 Mb carnation genome estimated by k-mer analysis. The N50 values of contigs and scaffolds were 16,644 bp and 60,737 bp, respectively, and the longest scaffold was 1,287,144 bp. The average GC content of the contig sequences was 36%. A total of 1050, 13, 92 and 143 genes for tRNAs, rRNAs, snoRNA and miRNA, respectively, were identified in the assembled genomic sequences. For protein-encoding genes, 43 266 complete and partial gene structures excluding those in transposable elements were deduced. Gene coverage was ∼ 98%, as deduced from the coverage of the core eukaryotic genes. Intensive characterization of the assigned carnation genes and comparison with those of other plant species revealed characteristic features of the carnation genome. The results of this study will serve as a valuable resource for fundamental and applied research of carnation, especially for breeding new carnation varieties. Further information on the genomic sequences is available at http://carnation.kazusa.or.jp.

  16. Molecular characterization of Giardia psittaci by multilocus sequence analysis.

    PubMed

    Abe, Niichiro; Makino, Ikuko; Kojima, Atsushi

    2012-12-01

    Multilocus sequence analyses targeting small subunit ribosomal DNA (SSU rDNA), elongation factor 1 alpha (ef1α), glutamate dehydrogenase (gdh), and beta giardin (β-giardin) were performed on Giardia psittaci isolates from three Budgerigars (Melopsittacus undulates) and four Barred parakeets (Bolborhynchus lineola) kept in individual households or imported from overseas. Nucleotide differences and phylogenetic analyses at four loci indicate the distinction of G. psittaci from the other known Giardia species: Giardia muris, Giardia microti, Giardia ardeae, and Giardia duodenalis assemblages. Furthermore, G. psittaci was related more closely to G. duodenalis than to the other known Giardia species, except for G. microti. Conflicting signals regarded as "double peaks" were found at the same nucleotide positions of the ef1α in all isolates. However, the sequences of the other three loci, including gdh and β-giardin, which are known to be highly variable, from all isolates were also mutually identical at every locus. They showed no double peaks. These results suggest that double peaks found in the ef1α sequences are caused not by mixed infection with genetically different G. psittaci isolates but by allelic sequence heterogeneity (ASH), which is observed in diplomonad lineages including G. duodenalis. No sequence difference was found in any G. psittaci isolates at the gdh and β-giardin, suggesting that G. psittaci is indeed not more diverse genetically than other Giardia species. This report is the first to provide evidence related to the genetic characteristics of G. psittaci obtained using multilocus sequence analysis. PMID:22921500

  17. Motion sequence analysis in the presence of figural cues

    PubMed Central

    Sinha, Pawan; Vaina, Lucia M.

    2015-01-01

    The perception of 3D structure in dynamic sequences is believed to be subserved primarily through the use of motion cues. However, real-world sequences contain many figural shape cues besides the dynamic ones. We hypothesize that if figural cues are perceptually significant during sequence analysis, then inconsistencies in these cues over time would lead to percepts of non-rigidity in sequences showing physically rigid objects in motion. We develop an experimental paradigm to test this hypothesis and present results with two patients with impairments in motion perception due to focal neurological damage, as well as two control subjects. Consistent with our hypothesis, the data suggest that figural cues strongly influence the perception of structure in motion sequences, even to the extent of inducing non-rigid percepts in sequences where motion information alone would yield rigid structures. Beyond helping to probe the issue of shape perception, our experimental paradigm might also serve as a possible perceptual assessment tool in a clinical setting. PMID:26028822

  18. Improved algorithm for analysis of DNA sequences using multiresolution transformation.

    PubMed

    Inbamalar, T M; Sivakumar, R

    2015-01-01

    Bioinformatics and genomic signal processing use computational techniques to solve various biological problems. They aim to study the information allied with genetic materials such as the deoxyribonucleic acid (DNA), the ribonucleic acid (RNA), and the proteins. Fast and precise identification of the protein coding regions in DNA sequence is one of the most important tasks in analysis. Existing digital signal processing (DSP) methods provide less accurate and computationally complex solution with greater background noise. Hence, improvements in accuracy, computational complexity, and reduction in background noise are essential in identification of the protein coding regions in the DNA sequences. In this paper, a new DSP based method is introduced to detect the protein coding regions in DNA sequences. Here, the DNA sequences are converted into numeric sequences using electron ion interaction potential (EIIP) representation. Then discrete wavelet transformation is taken. Absolute value of the energy is found followed by proper threshold. The test is conducted using the data bases available in the National Centre for Biotechnology Information (NCBI) site. The comparative analysis is done and it ensures the efficiency of the proposed system.

  19. Improved algorithm for analysis of DNA sequences using multiresolution transformation.

    PubMed

    Inbamalar, T M; Sivakumar, R

    2015-01-01

    Bioinformatics and genomic signal processing use computational techniques to solve various biological problems. They aim to study the information allied with genetic materials such as the deoxyribonucleic acid (DNA), the ribonucleic acid (RNA), and the proteins. Fast and precise identification of the protein coding regions in DNA sequence is one of the most important tasks in analysis. Existing digital signal processing (DSP) methods provide less accurate and computationally complex solution with greater background noise. Hence, improvements in accuracy, computational complexity, and reduction in background noise are essential in identification of the protein coding regions in the DNA sequences. In this paper, a new DSP based method is introduced to detect the protein coding regions in DNA sequences. Here, the DNA sequences are converted into numeric sequences using electron ion interaction potential (EIIP) representation. Then discrete wavelet transformation is taken. Absolute value of the energy is found followed by proper threshold. The test is conducted using the data bases available in the National Centre for Biotechnology Information (NCBI) site. The comparative analysis is done and it ensures the efficiency of the proposed system. PMID:26000337

  20. Exploration of phylogenetic data using a global sequence analysis method

    PubMed Central

    Chapus, Charles; Dufraigne, Christine; Edwards, Scott; Giron, Alain; Fertil, Bernard; Deschavanne, Patrick

    2005-01-01

    Background Molecular phylogenetic methods are based on alignments of nucleic or peptidic sequences. The tremendous increase in molecular data permits phylogenetic analyses of very long sequences and of many species, but also requires methods to help manage large datasets. Results Here we explore the phylogenetic signal present in molecular data by genomic signatures, defined as the set of frequencies of short oligonucleotides present in DNA sequences. Although violating many of the standard assumptions of traditional phylogenetic analyses – in particular explicit statements of homology inherent in character matrices – the use of the signature does permit the analysis of very long sequences, even those that are unalignable, and is therefore most useful in cases where alignment is questionable. We compare the results obtained by traditional phylogenetic methods to those inferred by the signature method for two genes: RAG1, which is easily alignable, and 18S RNA, where alignments are often ambiguous for some regions. We also apply this method to a multigene data set of 33 genes for 9 bacteria and one archea species as well as to the whole genome of a set of 16 γ-proteobacteria. In addition to delivering phylogenetic results comparable to traditional methods, the comparison of signatures for the sequences involved in the bacterial example identified putative candidates for horizontal gene transfers. Conclusion The signature method is therefore a fast tool for exploring phylogenetic data, providing not only a pretreatment for discovering new sequence relationships, but also for identifying cases of sequence evolution that could confound traditional phylogenetic analysis. PMID:16280081

  1. Analysis of passing sequences, shots and goals in soccer.

    PubMed

    Hughes, Mike; Franks, Ian

    2005-05-01

    Early research into how goals were scored in association football (Reep and Benjamin, 1968) may have shaped the tactics of British football. Most coaches have been affected, to a greater or lesser extent, by the tactics referred to as the "long-ball game" or "direct play", which was a tactic employed as a consequence of this research. Data from these studies, published in the late 1960s, have been reconfirmed by analyses of different FIFA World Cup tournaments by several different research groups. In the present study, the number of passes that led to goals scored in two FIFA World Cup finals were analysed. The results conform to that of previous research, but when these data were normalized with respect to the frequency of the respective lengths of passing sequences, there were more goals scored from longer passing sequences than from shorter passing sequences. Teams produced significantly more shots per possession for these longer passing sequences, but the strike ratio of goals from shots is better for "direct play" than for "possession play". Finally, an analysis of the shooting data for successful and unsuccessful teams for different lengths of passing sequences in the 1990 FIFA World Cup finals indicated that, for successful teams, longer passing sequences produced more goals per possession than shorter passing sequences. For unsuccessful teams, neither tactic had a clear advantage. It was further concluded that the original work of Reep and Benjamin (1968), although a key landmark in football analysis, led only to a partial understanding of the phenomenon that was investigated.

  2. Deep sequencing reveals the complete genome and evidence for transcriptional activity of the first virus-like sequences identified in Aristotelia chilensis (Maqui Berry).

    PubMed

    Villacreses, Javier; Rojas-Herrera, Marcelo; Sánchez, Carolina; Hewstone, Nicole; Undurraga, Soledad F; Alzate, Juan F; Manque, Patricio; Maracaja-Coutinho, Vinicius; Polanco, Victor

    2015-04-01

    Here, we report the genome sequence and evidence for transcriptional activity of a virus-like element in the native Chilean berry tree Aristotelia chilensis. We propose to name the endogenous sequence as Aristotelia chilensis Virus 1 (AcV1). High-throughput sequencing of the genome of this tree uncovered an endogenous viral element, with a size of 7122 bp, corresponding to the complete genome of AcV1. Its sequence contains three open reading frames (ORFs): ORFs 1 and 2 shares 66%-73% amino acid similarity with members of the Caulimoviridae virus family, especially the Petunia vein clearing virus (PVCV), Petuvirus genus. ORF1 encodes a movement protein (MP); ORF2 a Reverse Transcriptase (RT) and a Ribonuclease H (RNase H) domain; and ORF3 showed no amino acid sequence similarity with any other known virus proteins. Analogous to other known endogenous pararetrovirus sequences (EPRVs), AcV1 is integrated in the genome of Maqui Berry and showed low viral transcriptional activity, which was detected by deep sequencing technology (DNA and RNA-seq). Phylogenetic analysis of AcV1 and other pararetroviruses revealed a closer resemblance with Petuvirus. Overall, our data suggests that AcV1 could be a new member of Caulimoviridae family, genus Petuvirus, and the first evidence of this kind of virus in a fruit plant. PMID:25855242

  3. Deep Sequencing Reveals the Complete Genome and Evidence for Transcriptional Activity of the First Virus-Like Sequences Identified in Aristotelia chilensis (Maqui Berry)

    PubMed Central

    Villacreses, Javier; Rojas-Herrera, Marcelo; Sánchez, Carolina; Hewstone, Nicole; Undurraga, Soledad F.; Alzate, Juan F.; Manque, Patricio; Maracaja-Coutinho, Vinicius; Polanco, Victor

    2015-01-01

    Here, we report the genome sequence and evidence for transcriptional activity of a virus-like element in the native Chilean berry tree Aristotelia chilensis. We propose to name the endogenous sequence as Aristotelia chilensis Virus 1 (AcV1). High-throughput sequencing of the genome of this tree uncovered an endogenous viral element, with a size of 7122 bp, corresponding to the complete genome of AcV1. Its sequence contains three open reading frames (ORFs): ORFs 1 and 2 shares 66%–73% amino acid similarity with members of the Caulimoviridae virus family, especially the Petunia vein clearing virus (PVCV), Petuvirus genus. ORF1 encodes a movement protein (MP); ORF2 a Reverse Transcriptase (RT) and a Ribonuclease H (RNase H) domain; and ORF3 showed no amino acid sequence similarity with any other known virus proteins. Analogous to other known endogenous pararetrovirus sequences (EPRVs), AcV1 is integrated in the genome of Maqui Berry and showed low viral transcriptional activity, which was detected by deep sequencing technology (DNA and RNA-seq). Phylogenetic analysis of AcV1 and other pararetroviruses revealed a closer resemblance with Petuvirus. Overall, our data suggests that AcV1 could be a new member of Caulimoviridae family, genus Petuvirus, and the first evidence of this kind of virus in a fruit plant. PMID:25855242

  4. Reverse sequencing syllables of spoken words activates primary visual cortex.

    PubMed

    Ino, Tadashi; Asada, Tomohiko; Hirose, Syuichi; Ito, Jin; Fukuyama, Hidenao

    2003-10-27

    Using fMRI, we investigated the neural correlates for sequencing the individual syllables of spoken words in reverse order. The comparison of this task to a control task requiring subjects to repeat identical syllables given acoustically revealed the activation of the primary visual cortex. Because one syllable is generally expressed by one kana character (Japanese phonogram), most subjects used a strategy in which the kana character string corresponding to the word was imagined visually and then read mentally in reverse order to perform the task effectively. Such strategy was not used during a control condition. These results suggest that the primary visual cortex plays a role in the generation of an imagined string.

  5. De novo sequencing and transcriptome analysis of Ustilaginoidea virens by using Illumina paired-end sequencing and development of simple sequence repeat markers.

    PubMed

    Yu, Mina; Yu, Junjie; Gu, Chenhao; Nie, Yafeng; Chen, Zhiyi; Yin, Xiaole; Liu, Yongfeng

    2014-09-01

    Ustilaginoidea virens is the causal agent of rice false smut, which is a rice disease of increasing importance worldwide that has caused with the quantitative and qualitative rice losses. However, research on the pathogenic mechanism of U. virens is limited. In this study, we reported a de novo assembling, annotation, and characterization of the transcriptome and developed simple sequence repeat (SSR) markers of U. virens. U. virens transcripts of the mycelia and conidia mixture were sequenced using Illumina RNA-seq technology. A total of 52,554,142 clean reads were assembled into 36,496 transcripts representing 18,534 unigenes. Assembled unigenes were annotated through sequence comparison with known protein databases, and 48.48% of the unigenes were without hits in any of these databases. Clusters of orthologous groups for eukaryotic complete genome analysis identified the largest set of genes associated with posttranslational modification, protein turnover and chaperones. Kyoto Encyclopedia of Genes and Genomes pathway analyses identified the number of genes associated with mitogen-activated protein kinase and calcium-calcineurin pathways. The study also identified several putative pathogenicity determinants and candidate effectors in U. virens by using the pathogen-host interaction database. In addition, bioinformatics analysis revealed the presence of 12,298 SSR markers. This study provides a better understanding of the biology of U. virens and is an excellent resource for candidate genes required for pathogenesis discovery.

  6. [Ventricular activation sequence estimated by body surface isochrone map].

    PubMed

    Hayashi, H; Ishikawa, T; Takami, K; Kojima, H; Yabe, S; Ohsugi, S; Miyachi, K; Sotobata, I

    1985-06-01

    This study was performed to evaluate the usefulness of the body surface isochrone map (VAT map) for identifying the ventricular activation sequence, and it was correlated with the isopotential map. Subjects consisted of 42 normal healthy adults, 18 patients with artificial ventricular pacemakers, and 100 patients with ventricular premature beats (VPB). The sites of pacemaker implantations were the right ventricular endocardial apex (nine cases), right ventricular epicardial apex (five cases), right ventricular inflow tract (one case), left ventricular epicardial apex (one case), and posterior base of the left ventricle via the coronary sinus (two cases). An isopotential map was recorded by the mapper HPM-6500 (Chunichi-Denshi Co.) on the basis of an 87 unipolar lead ECG, and a VAT isochrone map was drawn by a minicomputer. The normal VAT map was classified by type according to alignment of isochrone lines, and their frequency was 57.1% for type A, 16.7% for type B, and 26.2% for type C. In the VAT map of ventricular pacing, the body surface area of initial isochrone lines represented well the sites of pacemaker stimuli. In the VAT map of VPB, the sites of origin of VPB agreed well with those as determined by the previous study using an isopotential map. The density of the isochrone lines suggested the mode of conduction via the specialized conduction system or ventricular muscle. The VAT map is a very useful diagnostic method to predict the ventricular activation sequence more directly in a single sheet of the map. PMID:2419457

  7. The amino acid sequence of monal pheasant lysozyme and its activity.

    PubMed

    Araki, T; Matsumoto, T; Torikata, T

    1998-10-01

    The amino acid sequence of monal pheasant lysozyme and its activity were analyzed. Carboxymethylated lysozyme was digested with trypsin and the resulting peptides were sequenced. The established amino acid sequence had one amino acid substitution at position 102 (Arg to Gly) comparing with Indian peafowl lysozyme and four amino acid substitutions at positions 3 (Phe to Tyr), 15 (His to Leu), 41 (Gln to His), and 121 (Gln to His) with chicken lysozyme. Analysis of the time-courses of reaction using N-acetylglucosamine pentamer as a substrate showed a difference of binding free energy change (-0.4 kcal/mol) at subsites A between monal pheasant and Indian peafowl lysozyme. This was assumed to be caused by the amino acid substitution at subsite A with loss of a positive charge at position 102 (Arg102 to Gly).

  8. The amino acid sequence of monal pheasant lysozyme and its activity.

    PubMed

    Araki, T; Matsumoto, T; Torikata, T

    1998-10-01

    The amino acid sequence of monal pheasant lysozyme and its activity were analyzed. Carboxymethylated lysozyme was digested with trypsin and the resulting peptides were sequenced. The established amino acid sequence had one amino acid substitution at position 102 (Arg to Gly) comparing with Indian peafowl lysozyme and four amino acid substitutions at positions 3 (Phe to Tyr), 15 (His to Leu), 41 (Gln to His), and 121 (Gln to His) with chicken lysozyme. Analysis of the time-courses of reaction using N-acetylglucosamine pentamer as a substrate showed a difference of binding free energy change (-0.4 kcal/mol) at subsites A between monal pheasant and Indian peafowl lysozyme. This was assumed to be caused by the amino acid substitution at subsite A with loss of a positive charge at position 102 (Arg102 to Gly). PMID:9836434

  9. Functional analysis of bipartite begomovirus coat protein promoter sequences

    SciTech Connect

    Lacatus, Gabriela; Sunter, Garry

    2008-06-20

    We demonstrate that the AL2 gene of Cabbage leaf curl virus (CaLCuV) activates the CP promoter in mesophyll and acts to derepress the promoter in vascular tissue, similar to that observed for Tomato golden mosaic virus (TGMV). Binding studies indicate that sequences mediating repression and activation of the TGMV and CaLCuV CP promoter specifically bind different nuclear factors common to Nicotiana benthamiana, spinach and tomato. However, chromatin immunoprecipitation demonstrates that TGMV AL2 can interact with both sequences independently. Binding of nuclear protein(s) from different crop species to viral sequences conserved in both bipartite and monopartite begomoviruses, including TGMV, CaLCuV, Pepper golden mosaic virus and Tomato yellow leaf curl virus suggests that bipartite begomoviruses bind common host factors to regulate the CP promoter. This is consistent with a model in which AL2 interacts with different components of the cellular transcription machinery that bind viral sequences important for repression and activation of begomovirus CP promoters.

  10. Construction of an integrated database to support genomic sequence analysis

    SciTech Connect

    Gilbert, W.; Overbeek, R.

    1994-11-01

    The central goal of this project is to develop an integrated database to support comparative analysis of genomes including DNA sequence data, protein sequence data, gene expression data and metabolism data. In developing the logic-based system GenoBase, a broader integration of available data was achieved due to assistance from collaborators. Current goals are to easily include new forms of data as they become available and to easily navigate through the ensemble of objects described within the database. This report comments on progress made in these areas.

  11. Artificial intelligence approach in analysis of DNA sequences.

    PubMed

    Brézillon, P J; Zaraté, P; Saci, F

    1993-01-01

    We present an approach for designing a knowledge-based system, called Sequence Acquisition In Context (SAIC), that will be able to cooperate with a biologist in the analysis of DNA sequences. The main task of the system is the acquisition of the expert knowledge that the biologist uses for solving ambiguities from gel autoradiograms, with the aim of re-using it later for solving similar ambiguities. The various types of expert knowledge constitute what we call the contextual knowledge of the sequence analysis. Contextual knowledge deals with the unavoidable problems that are common in the study of the living material (eg noise on data, difficulties of observations). Indeed, the analysis of DNA sequences from autoradiograms belongs to an emerging and promising area of investigation, namely reasoning with images. The SAIC project is developed in a theoretical framework that is shared with other applications. Not all tasks have the same importance in each application. We use this observation for designing an intelligent assistant system with three applications. In the SAIC project, we focus on knowledge acquisition, human-computer interaction and explanation. The project will benefit research in the two other applications. We also discuss our SAIC project in the context of large international projects that aim to re-use and share knowledge in a repository.

  12. [Statistical analysis of DNA sequences nearby splicing sites].

    PubMed

    Korzinov, O M; Astakhova, T V; Vlasov, P K; Roĭtberg, M A

    2008-01-01

    Recognition of coding regions within eukaryotic genomes is one of oldest but yet not solved problems of bioinformatics. New high-accuracy methods of splicing sites recognition are needed to solve this problem. A question of current interest is to identify specific features of nucleotide sequences nearby splicing sites and recognize sites in sequence context. We performed a statistical analysis of human genes fragment database and revealed some characteristics of nucleotide sequences in splicing sites neighborhood. Frequencies of all nucleotides and dinucleotides in splicing sites environment were computed and nucleotides and dinucleotides with extremely high\\low occurrences were identified. Statistical information obtained in this work can be used in further development of the methods of splicing sites annotation and exon-intron structure recognition.

  13. A biostratigraphic sequence analysis in Cretaceous sediments from Eastern Venezuela

    SciTech Connect

    Paredes, I.; Carillo, M.; Fasola, A.; Luna, F. )

    1993-02-01

    This paper presents the results of a high resolution biostratigraphic study integrated with petrophysic analyses, of the Late Cretaceous sequence in several wells from the Maturin Sub-Basin, Eastern Venezuela. The main objective of this study is to integrate the different faunal and floral assemblages to the sedimentological evolution of the basin using sequential analysis techniques. This technique was applied using mainly terrestrial and marine palynomorphs which were relatively abundant and diverse as compared to the scarcity of foraminifera and nonnofossils. Based on the percentages of abundance and the diversity of the different groups of microfoss it was possible to establish the maximum flooding surfaces and condensation levels which allowed the definition of the possible candidates for the sequence boundaries. On the other hand, the identified bioevents made possible the definition of the chronostratigraphic datums of the sequence under study. The results obtained will contribute to optimize the exploration and development programs of the oil fields in Eastern Venezuela.

  14. Genome sequencing and analysis of the model grass Brachypodium distachyon

    SciTech Connect

    Yang, Xiaohan; Kalluri, Udaya C; Tuskan, Gerald A

    2010-01-01

    Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops.

  15. Strategy for microbiome analysis using 16S rRNA gene sequence analysis on the Illumina sequencing platform.

    PubMed

    Ram, Jeffrey L; Karim, Aos S; Sendler, Edward D; Kato, Ikuko

    2011-06-01

    Understanding the identity and changes of organisms in the urogenital and other microbiomes of the human body may be key to discovering causes and new treatments of many ailments, such as vaginosis. High-throughput sequencing technologies have recently enabled discovery of the great diversity of the human microbiome. The cost per base of many of these sequencing platforms remains high (thousands of dollars per sample); however, the Illumina Genome Analyzer (IGA) is estimated to have a cost per base less than one-fifth of its nearest competitor. The main disadvantage of the IGA for sequencing PCR-amplified 16S rRNA genes is that the maximum read-length of the IGA is only 100 bases; whereas, at least 300 bases are needed to obtain phylogenetically informative data down to the genus and species level. In this paper we describe and conduct a pilot test of a multiplex sequencing strategy suitable for achieving total reads of > 300 bases per extracted DNA molecule on the IGA. Results show that all proposed primers produce products of the expected size and that correct sequences can be obtained, with all proposed forward primers. Various bioinformatic optimization of the Illumina Bustard analysis pipeline proved necessary to extract the correct sequence from IGA image data, and these modifications of the data files indicate that further optimization of the analysis pipeline may improve the quality rankings of the data and enable more sequence to be correctly analyzed. The successful application of this method could result in an unprecedentedly deep description (800,000 taxonomic identifications per sample) of the urogenital and other microbiomes in a large number of samples at a reasonable cost per sample. PMID:21361774

  16. Evolution Analysis of Simple Sequence Repeats in Plant Genome.

    PubMed

    Qin, Zhen; Wang, Yanping; Wang, Qingmei; Li, Aixian; Hou, Fuyun; Zhang, Liming

    2015-01-01

    Simple sequence repeats (SSRs) are widespread units on genome sequences, and play many important roles in plants. In order to reveal the evolution of plant genomes, we investigated the evolutionary regularities of SSRs during the evolution of plant species and the plant kingdom by analysis of twelve sequenced plant genome sequences. First, in the twelve studied plant genomes, the main SSRs were those which contain repeats of 1-3 nucleotides combination. Second, in mononucleotide SSRs, the A/T percentage gradually increased along with the evolution of plants (except for P. patens). With the increase of SSRs repeat number the percentage of A/T in C. reinhardtii had no significant change, while the percentage of A/T in terrestrial plants species gradually declined. Third, in dinucleotide SSRs, the percentage of AT/TA increased along with the evolution of plant kingdom and the repeat number increased in terrestrial plants species. This trend was more obvious in dicotyledon than monocotyledon. The percentage of CG/GC showed the opposite pattern to the AT/TA. Forth, in trinucleotide SSRs, the percentages of combinations including two or three A/T were in a rising trend along with the evolution of plant kingdom; meanwhile with the increase of SSRs repeat number in plants species, different species chose different combinations as dominant SSRs. SSRs in C. reinhardtii, P. patens, Z. mays and A. thaliana showed their specific patterns related to evolutionary position or specific changes of genome sequences. The results showed that, SSRs not only had the general pattern in the evolution of plant kingdom, but also were associated with the evolution of the specific genome sequence. The study of the evolutionary regularities of SSRs provided new insights for the analysis of the plant genome evolution.

  17. Evolution Analysis of Simple Sequence Repeats in Plant Genome

    PubMed Central

    Qin, Zhen; Wang, Yanping; Wang, Qingmei; Li, Aixian; Hou, Fuyun; Zhang, Liming

    2015-01-01

    Simple sequence repeats (SSRs) are widespread units on genome sequences, and play many important roles in plants. In order to reveal the evolution of plant genomes, we investigated the evolutionary regularities of SSRs during the evolution of plant species and the plant kingdom by analysis of twelve sequenced plant genome sequences. First, in the twelve studied plant genomes, the main SSRs were those which contain repeats of 1–3 nucleotides combination. Second, in mononucleotide SSRs, the A/T percentage gradually increased along with the evolution of plants (except for P. patens). With the increase of SSRs repeat number the percentage of A/T in C. reinhardtii had no significant change, while the percentage of A/T in terrestrial plants species gradually declined. Third, in dinucleotide SSRs, the percentage of AT/TA increased along with the evolution of plant kingdom and the repeat number increased in terrestrial plants species. This trend was more obvious in dicotyledon than monocotyledon. The percentage of CG/GC showed the opposite pattern to the AT/TA. Forth, in trinucleotide SSRs, the percentages of combinations including two or three A/T were in a rising trend along with the evolution of plant kingdom; meanwhile with the increase of SSRs repeat number in plants species, different species chose different combinations as dominant SSRs. SSRs in C. reinhardtii, P. patens, Z. mays and A. thaliana showed their specific patterns related to evolutionary position or specific changes of genome sequences. The results showed that, SSRs not only had the general pattern in the evolution of plant kingdom, but also were associated with the evolution of the specific genome sequence. The study of the evolutionary regularities of SSRs provided new insights for the analysis of the plant genome evolution. PMID:26630570

  18. An Imaging And Graphics Workstation For Image Sequence Analysis

    NASA Astrophysics Data System (ADS)

    Mostafavi, Hassan

    1990-01-01

    This paper describes an application-specific engineering workstation designed and developed to analyze imagery sequences from a variety of sources. The system combines the software and hardware environment of the modern graphic-oriented workstations with the digital image acquisition, processing and display techniques. The objective is to achieve automation and high throughput for many data reduction tasks involving metric studies of image sequences. The applications of such an automated data reduction tool include analysis of the trajectory and attitude of aircraft, missile, stores and other flying objects in various flight regimes including launch and separation as well as regular flight maneuvers. The workstation can also be used in an on-line or off-line mode to study three-dimensional motion of aircraft models in simulated flight conditions such as wind tunnels. The system's key features are: 1) Acquisition and storage of image sequences by digitizing real-time video or frames from a film strip; 2) computer-controlled movie loop playback, slow motion and freeze frame display combined with digital image sharpening, noise reduction, contrast enhancement and interactive image magnification; 3) multiple leading edge tracking in addition to object centroids at up to 60 fields per second from both live input video or a stored image sequence; 4) automatic and manual field-of-view and spatial calibration; 5) image sequence data base generation and management, including the measurement data products; 6) off-line analysis software for trajectory plotting and statistical analysis; 7) model-based estimation and tracking of object attitude angles; and 8) interface to a variety of video players and film transport sub-systems.

  19. Congruence analysis of point clouds from unstable stereo image sequences

    NASA Astrophysics Data System (ADS)

    Jepping, C.; Bethmann, F.; Luhmann, T.

    2014-06-01

    This paper deals with the correction of exterior orientation parameters of stereo image sequences over deformed free-form surfaces without control points. Such imaging situation can occur, for example, during photogrammetric car crash test recordings where onboard high-speed stereo cameras are used to measure 3D surfaces. As a result of such measurements 3D point clouds of deformed surfaces are generated for a complete stereo sequence. The first objective of this research focusses on the development and investigation of methods for the detection of corresponding spatial and temporal tie points within the stereo image sequences (by stereo image matching and 3D point tracking) that are robust enough for a reliable handling of occlusions and other disturbances that may occur. The second objective of this research is the analysis of object deformations in order to detect stable areas (congruence analysis). For this purpose a RANSAC-based method for congruence analysis has been developed. This process is based on the sequential transformation of randomly selected point groups from one epoch to another by using a 3D similarity transformation. The paper gives a detailed description of the congruence analysis. The approach has been tested successfully on synthetic and real image data.

  20. Whole-genome sequence-based analysis of thyroid function.

    PubMed

    Taylor, Peter N; Porcu, Eleonora; Chew, Shelby; Campbell, Purdey J; Traglia, Michela; Brown, Suzanne J; Mullin, Benjamin H; Shihab, Hashem A; Min, Josine; Walter, Klaudia; Memari, Yasin; Huang, Jie; Barnes, Michael R; Beilby, John P; Charoen, Pimphen; Danecek, Petr; Dudbridge, Frank; Forgetta, Vincenzo; Greenwood, Celia; Grundberg, Elin; Johnson, Andrew D; Hui, Jennie; Lim, Ee M; McCarthy, Shane; Muddyman, Dawn; Panicker, Vijay; Perry, John R B; Bell, Jordana T; Yuan, Wei; Relton, Caroline; Gaunt, Tom; Schlessinger, David; Abecasis, Goncalo; Cucca, Francesco; Surdulescu, Gabriela L; Woltersdorf, Wolfram; Zeggini, Eleftheria; Zheng, Hou-Feng; Toniolo, Daniela; Dayan, Colin M; Naitza, Silvia; Walsh, John P; Spector, Tim; Davey Smith, George; Durbin, Richard; Richards, J Brent; Sanna, Serena; Soranzo, Nicole; Timpson, Nicholas J; Wilson, Scott G

    2015-01-01

    Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 10(-9)) and a new independent variant in PDE8B (MAF=10.4%, P=5.94 × 10(-14)). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P=1.27 × 10(-9)) tagging a rare TTR variant (MAF=0.4%, P=2.14 × 10(-11)). All common variants explain ≥20% of the variance in TSH and FT4. Analysis of rare variants (MAF<1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function. PMID:25743335

  1. Castor bean organelle genome sequencing and worldwide genetic diversity analysis.

    PubMed

    Rivarola, Maximo; Foster, Jeffrey T; Chan, Agnes P; Williams, Amber L; Rice, Danny W; Liu, Xinyue; Melake-Berhan, Admasu; Huot Creasy, Heather; Puiu, Daniela; Rosovitz, M J; Khouri, Hoda M; Beckstrom-Sternberg, Stephen M; Allan, Gerard J; Keim, Paul; Ravel, Jacques; Rabinowicz, Pablo D

    2011-01-01

    Castor bean is an important oil-producing plant in the Euphorbiaceae family. Its high-quality oil contains up to 90% of the unusual fatty acid ricinoleate, which has many industrial and medical applications. Castor bean seeds also contain ricin, a highly toxic Type 2 ribosome-inactivating protein, which has gained relevance in recent years due to biosafety concerns. In order to gain knowledge on global genetic diversity in castor bean and to ultimately help the development of breeding and forensic tools, we carried out an extensive chloroplast sequence diversity analysis. Taking advantage of the recently published genome sequence of castor bean, we assembled the chloroplast and mitochondrion genomes extracting selected reads from the available whole genome shotgun reads. Using the chloroplast reference genome we used the methylation filtration technique to readily obtain draft genome sequences of 7 geographically and genetically diverse castor bean accessions. These sequence data were used to identify single nucleotide polymorphism markers and phylogenetic analysis resulted in the identification of two major clades that were not apparent in previous population genetic studies using genetic markers derived from nuclear DNA. Two distinct sub-clades could be defined within each major clade and large-scale genotyping of castor bean populations worldwide confirmed previously observed low levels of genetic diversity and showed a broad geographic distribution of each sub-clade.

  2. Castor Bean Organelle Genome Sequencing and Worldwide Genetic Diversity Analysis

    PubMed Central

    Chan, Agnes P.; Williams, Amber L.; Rice, Danny W.; Liu, Xinyue; Melake-Berhan, Admasu; Huot Creasy, Heather; Puiu, Daniela; Rosovitz, M. J.; Khouri, Hoda M.; Beckstrom-Sternberg, Stephen M.; Allan, Gerard J.; Keim, Paul; Ravel, Jacques; Rabinowicz, Pablo D.

    2011-01-01

    Castor bean is an important oil-producing plant in the Euphorbiaceae family. Its high-quality oil contains up to 90% of the unusual fatty acid ricinoleate, which has many industrial and medical applications. Castor bean seeds also contain ricin, a highly toxic Type 2 ribosome-inactivating protein, which has gained relevance in recent years due to biosafety concerns. In order to gain knowledge on global genetic diversity in castor bean and to ultimately help the development of breeding and forensic tools, we carried out an extensive chloroplast sequence diversity analysis. Taking advantage of the recently published genome sequence of castor bean, we assembled the chloroplast and mitochondrion genomes extracting selected reads from the available whole genome shotgun reads. Using the chloroplast reference genome we used the methylation filtration technique to readily obtain draft genome sequences of 7 geographically and genetically diverse castor bean accessions. These sequence data were used to identify single nucleotide polymorphism markers and phylogenetic analysis resulted in the identification of two major clades that were not apparent in previous population genetic studies using genetic markers derived from nuclear DNA. Two distinct sub-clades could be defined within each major clade and large-scale genotyping of castor bean populations worldwide confirmed previously observed low levels of genetic diversity and showed a broad geographic distribution of each sub-clade. PMID:21750729

  3. Infrared thermal facial image sequence registration analysis and verification

    NASA Astrophysics Data System (ADS)

    Chen, Chieh-Li; Jian, Bo-Lin

    2015-03-01

    To study the emotional responses of subjects to the International Affective Picture System (IAPS), infrared thermal facial image sequence is preprocessed for registration before further analysis such that the variance caused by minor and irregular subject movements is reduced. Without affecting the comfort level and inducing minimal harm, this study proposes an infrared thermal facial image sequence registration process that will reduce the deviations caused by the unconscious head shaking of the subjects. A fixed image for registration is produced through the localization of the centroid of the eye region as well as image translation and rotation processes. Thermal image sequencing will then be automatically registered using the two-stage genetic algorithm proposed. The deviation before and after image registration will be demonstrated by image quality indices. The results show that the infrared thermal image sequence registration process proposed in this study is effective in localizing facial images accurately, which will be beneficial to the correlation analysis of psychological information related to the facial area.

  4. Whole-genome sequence-based analysis of thyroid function.

    PubMed

    Taylor, Peter N; Porcu, Eleonora; Chew, Shelby; Campbell, Purdey J; Traglia, Michela; Brown, Suzanne J; Mullin, Benjamin H; Shihab, Hashem A; Min, Josine; Walter, Klaudia; Memari, Yasin; Huang, Jie; Barnes, Michael R; Beilby, John P; Charoen, Pimphen; Danecek, Petr; Dudbridge, Frank; Forgetta, Vincenzo; Greenwood, Celia; Grundberg, Elin; Johnson, Andrew D; Hui, Jennie; Lim, Ee M; McCarthy, Shane; Muddyman, Dawn; Panicker, Vijay; Perry, John R B; Bell, Jordana T; Yuan, Wei; Relton, Caroline; Gaunt, Tom; Schlessinger, David; Abecasis, Goncalo; Cucca, Francesco; Surdulescu, Gabriela L; Woltersdorf, Wolfram; Zeggini, Eleftheria; Zheng, Hou-Feng; Toniolo, Daniela; Dayan, Colin M; Naitza, Silvia; Walsh, John P; Spector, Tim; Davey Smith, George; Durbin, Richard; Richards, J Brent; Sanna, Serena; Soranzo, Nicole; Timpson, Nicholas J; Wilson, Scott G

    2015-03-06

    Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 10(-9)) and a new independent variant in PDE8B (MAF=10.4%, P=5.94 × 10(-14)). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P=1.27 × 10(-9)) tagging a rare TTR variant (MAF=0.4%, P=2.14 × 10(-11)). All common variants explain ≥20% of the variance in TSH and FT4. Analysis of rare variants (MAF<1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function.

  5. Now and Next-Generation Sequencing Techniques: Future of Sequence Analysis Using Cloud Computing

    PubMed Central

    Thakur, Radhe Shyam; Bandopadhyay, Rajib; Chaudhary, Bratati; Chatterjee, Sourav

    2012-01-01

    Advances in the field of sequencing techniques have resulted in the greatly accelerated production of huge sequence datasets. This presents immediate challenges in database maintenance at datacenters. It provides additional computational challenges in data mining and sequence analysis. Together these represent a significant overburden on traditional stand-alone computer resources, and to reach effective conclusions quickly and efficiently, the virtualization of the resources and computation on a pay-as-you-go concept (together termed “cloud computing”) has recently appeared. The collective resources of the datacenter, including both hardware and software, can be available publicly, being then termed a public cloud, the resources being provided in a virtual mode to the clients who pay according to the resources they employ. Examples of public companies providing these resources include Amazon, Google, and Joyent. The computational workload is shifted to the provider, which also implements required hardware and software upgrades over time. A virtual environment is created in the cloud corresponding to the computational and data storage needs of the user via the internet. The task is then performed, the results transmitted to the user, and the environment finally deleted after all tasks are completed. In this discussion, we focus on the basics of cloud computing, and go on to analyze the prerequisites and overall working of clouds. Finally, the applications of cloud computing in biological systems, particularly in comparative genomics, genome informatics, and SNP detection are discussed with reference to traditional workflows. PMID:23248640

  6. Now and next-generation sequencing techniques: future of sequence analysis using cloud computing.

    PubMed

    Thakur, Radhe Shyam; Bandopadhyay, Rajib; Chaudhary, Bratati; Chatterjee, Sourav

    2012-01-01

    Advances in the field of sequencing techniques have resulted in the greatly accelerated production of huge sequence datasets. This presents immediate challenges in database maintenance at datacenters. It provides additional computational challenges in data mining and sequence analysis. Together these represent a significant overburden on traditional stand-alone computer resources, and to reach effective conclusions quickly and efficiently, the virtualization of the resources and computation on a pay-as-you-go concept (together termed "cloud computing") has recently appeared. The collective resources of the datacenter, including both hardware and software, can be available publicly, being then termed a public cloud, the resources being provided in a virtual mode to the clients who pay according to the resources they employ. Examples of public companies providing these resources include Amazon, Google, and Joyent. The computational workload is shifted to the provider, which also implements required hardware and software upgrades over time. A virtual environment is created in the cloud corresponding to the computational and data storage needs of the user via the internet. The task is then performed, the results transmitted to the user, and the environment finally deleted after all tasks are completed. In this discussion, we focus on the basics of cloud computing, and go on to analyze the prerequisites and overall working of clouds. Finally, the applications of cloud computing in biological systems, particularly in comparative genomics, genome informatics, and SNP detection are discussed with reference to traditional workflows.

  7. On combining protein sequences and nucleic acid sequences in phylogenetic analysis: the homeobox protein case.

    PubMed

    Agosti, D; Jacobs, D; DeSalle, R

    1996-01-01

    Amino acid encoding genes contain character state information that may be useful for phylogenetic analysis on at least two levels. The nucleotide sequence and the translated amino acid sequences have both been employed separately as character states for cladistic studies of various taxa, including studies of the genealogy of genes in multigene families. In essence, amino acid sequences and nucleic acid sequences are two different ways of character coding the information in a gene. Silent positions in the nucleotide sequence (first or third positions in codons that can accrue change without changing the identity of the amino acid that the triplet codes for) may accrue change relatively rapidly and become saturated, losing the pattern of historical divergence. On the other hand, non-silent nucleotide alterations and their accompanying amino acid changes may evolve too slowly to reveal relationships among closely related taxa. In general, the dynamics of sequence change in silent and non-silent positions in protein coding genes result in homoplasy and lack of resolution, respectively. We suggest that the combination of nucleic acid and the translated amino acid coded character states into the same data matrix for phylogenetic analysis addresses some of the problems caused by the rapid change of silent nucleotide positions and overall slow rate of change of non-silent nucleotide positions and slowly changing amino acid positions. One major theoretical problem with this approach is the apparent non-independence of the two sources of characters. However, there are at least three possible outcomes when comparing protein coding nucleic acid sequences with their translated amino acids in a phylogenetic context on a codon by codon basis. First, the two character sets for a codon may be entirely congruent with respect to the information they convey about the relationships of a certain set of taxa. Second, one character set may display no information concerning a phylogenetic

  8. Applications of new sequencing technologies for transcriptome analysis.

    PubMed

    Morozova, Olena; Hirst, Martin; Marra, Marco A

    2009-01-01

    Transcriptome analysis has been a key area of biological inquiry for decades. Over the years, research in the field has progressed from candidate gene-based detection of RNAs using Northern blotting to high-throughput expression profiling driven by the advent of microarrays. Next-generation sequencing technologies have revolutionized transcriptomics by providing opportunities for multidimensional examinations of cellular transcriptomes in which high-throughput expression data are obtained at a single-base resolution. PMID:19715439

  9. MOLECULAR CLONING, SEQUENCING, EXPRESSION AND BIOLOGICAL ACTIVITY OF GIANT PANDA (AILUROPODA MELANOLEUCA) INTERFERON-GAMMA.

    PubMed

    Zhu, Hui; Wang, Wen-Xiu; Wang, Bao-Qin; Zhu, Xiao-Fu; Wu, Xu-Jin; Ma, Qing-Yi; Chen, De-Kun

    2012-06-29

    The giant panda (Ailuropoda melanoleuca) is an endangered species and indigenous to China. Interferon-gamma (IFN-γ) is the only member of type □ IFN and is vital for the regulation of host adapted immunity and inflammatory response. Little is known aboutthe FN-γ gene and its roles in giant panda.In this study, IFN-γ gene of Qinling giant panda was amplified from total blood RNA by RT-CPR, cloned, sequenced and analysed. The open reading frame (ORF) of Qinling giant panda IFN-γ encodes 152 amino acidsand is highly similar to Sichuan giant panda with an identity of 99.3% in cDNA sequence. The IFN-γ cDNA sequence was ligated to the pET32a vector and transformed into E. coli BL21 competent cells. Expression of recombinant IFN-γ protein of Qinling giant panda in E. coli was confirmed by SDS-PAGE and Western blot analysis. Biological activity assay indicated that the recombinant IFN-γ protein at the concentration of 4-10 µg/ml activated the giant panda peripheral blood lymphocytes,while at 12 µg/mlinhibited. the activation of the lymphocytes.These findings provide insights into the evolution of giant panda IFN-γ and information regarding amino acid residues essential for their biological activity.

  10. NMR analysis of sequence of toxin II from the sea anemone Radianthus paumotensis

    SciTech Connect

    Wemmer, D.E.; Kumar, N.V.; Metrione, R.M.; Lazdunski, M.; Drobny, G.; Kallenbach, N.R.

    1986-11-04

    Toxin II from Radianthus paumotensis (Rp/sub II/) has been investigated by high-resolution NMR and chemical sequencing methods. Resonance assignments have been obtained for this protein by the sequential approach. NMR assignments could not be made consistent with the previously reported primary sequence for this protein, and chemical methods have been used to determine a sequence with which the NMR data are consistent. Analysis of the 2D NOE spectra shows that the protein secondary structure is comprised of two sequences of ..beta..-sheet, probably joined into a distorted continuous sheet, connected by turns and extended loops, without any regular ..cap alpha..-helical segments. The residues previously implicated in activity in this class of proteins, D8 and R13, occur in a loop region.

  11. The sequence of learning cycle activities in high school chemistry

    NASA Astrophysics Data System (ADS)

    Abraham, Michael R.; Renner, John W.

    The sequence of the three phases of two high school learning cycles in chemistry was altered in order to: (I ) give insights into the factors which account for the success of the learning cycle, (2) serve as an indirect test of the association between Piaget's theory and the learning cycle, and (3) to compare the learning cycle with traditional instruction. Each of the six sequences (one n o d and five altered) was studied with content and atritudc measures. The outcomes of the study supported the contention that the normal learning cycle sequence is the optimum sequence for achievement of content knowledge.

  12. Environmental impact analysis for the main accidental sequences of ignitor

    SciTech Connect

    Carpignano, A.; Francabandiera, S.; Vella, R.; Zucchetti, M.

    1996-12-31

    A safety analysis study has been applied to the Ignitor machine using Probabilistic Safety Assessment. The main initiating events have been identified, and accident sequences have been studied by means of traditional methods such as Failure Mode and Effect Analysis (FMEA), Fault Trees (FT) and Event Trees (ET). The consequences of the radioactive environmental releases have been assessed in terms of Effective Dose Equivalent (EDEs) to the Most Exposed Individuals (MEI) of the chosen site, by means of a population dose code. Results point out the low enviromental impact of the machine. 13 refs., 1 fig., 3 tabs.

  13. The design and analysis of transposon insertion sequencing experiments.

    PubMed

    Chao, Michael C; Abel, Sören; Davis, Brigid M; Waldor, Matthew K

    2016-02-01

    Transposon insertion sequencing (TIS) is a powerful approach that can be extensively applied to the genome-wide definition of loci that are required for bacterial growth under diverse conditions. However, experimental design choices and stochastic biological processes can heavily influence the results of TIS experiments and affect downstream statistical analysis. In this Opinion article, we discuss TIS experimental parameters and how these factors relate to the benefits and limitations of the various statistical frameworks that can be applied to the computational analysis of TIS data.

  14. An editing environment for DNA sequence analysis and annotation

    SciTech Connect

    Uberbacher, E.C.; Xu, Y.; Shah, M.B.; Olman, V.; Parang, M.; Mural, R.

    1998-12-31

    This paper presents a computer system for analyzing and annotating large-scale genomic sequences. The core of the system is a multiple-gene structure identification program, which predicts the most probable gene structures based on the given evidence, including pattern recognition, EST and protein homology information. A graphics-based user interface provides an environment which allows the user to interactively control the evidence to be used in the gene identification process. To overcome the computational bottleneck in the database similarity search used in the gene identification process, the authors have developed an effective way to partition a database into a set of sub-databases of related sequences, and reduced the search problem on a large database to a signature identification problem and a search problem on a much smaller sub-database. This reduces the number of sequences to be searched from N to O({radical}N) on average, and hence greatly reduces the search time, where N is the number of sequences in the original database. The system provides the user with the ability to facilitate and modify the analysis and modeling in real time.

  15. A special-purpose processor for gene sequence analysis.

    PubMed

    Fagin, B; Watt, J G; Gross, R

    1993-04-01

    Advances in computational biology have occurred primarily in the areas of software and algorithm development; new designs of hardware to support biological computing are extremely scarce. This is due, we believe, to the presence of a non-trivial knowledge gap between molecular biologists and computer designers. The existence of this gap is unfortunate, as it has long been known that for certain problems, special-purpose computers can achieve significant cost/performance gains over general-purpose machines. We describe one such computer here: a custom accelerator for gene sequence analysis. The accelerator implements a version of the Needleman-Wunsch algorithm for nucleotide sequence alignment. Sequence lengths are constrained only by available memory; the product of sequence lengths in the current implementation can be up to 2(22). The machine is implemented as two NuBus boards connected to a Mac IIf/x, using a mixture of TTL and FPGA technology clocked at 10 MHz. The boards are completely functional, and yield a 15-fold performance improvement over an unassisted host.

  16. Application of Subspace Clustering in DNA Sequence Analysis.

    PubMed

    Wallace, Tim; Sekmen, Ali; Wang, Xiaofei

    2015-10-01

    Identification and clustering of orthologous genes plays an important role in developing evolutionary models such as validating convergent and divergent phylogeny and predicting functional proteins in newly sequenced species of unverified nucleotide protein mappings. Here, we introduce an application of subspace clustering as applied to orthologous gene sequences and discuss the initial results. The working hypothesis is based upon the concept that genetic changes between nucleotide sequences coding for proteins among selected species and groups may lie within a union of subspaces for clusters of the orthologous groups. Estimates for the subspace dimensions were computed for a small population sample. A series of experiments was performed to cluster randomly selected sequences. The experimental design allows for both false positives and false negatives, and estimates for the statistical significance are provided. The clustering results are consistent with the main hypothesis. A simple random mutation binary tree model is used to simulate speciation events that show the interdependence of the subspace rank versus time and mutation rates. The simple mutation model is found to be largely consistent with the observed subspace clustering singular value results. Our study indicates that the subspace clustering method may be applied in orthology analysis. PMID:26162018

  17. Ichnofabric and siliciclastic depositional systems: Integration for sequence stratigraphic analysis

    SciTech Connect

    Bottjer, D.J. ); Droser, M.L. )

    1991-03-01

    Much previous research on biogenic sedimentary structures has established how ichnofacies (assemblages of discrete trace fossils) vary within marine depositional systems. However, studies aimed at understanding the distribution of ichnofabric (sedimentary rock fabric resulting from biogenic reworking) have only recently been attempted. Because ichnofabric can be recorded using a semi-quantitative series of ichnofabric indices (ii), its distribution in marine sedimentary rocks can be easily recorded through vertical sequence analysis. Thicknesses of strata recording different ichnofabric indices can be logged from stratigraphic sections or cores. These data are best displayed in histograms as percent of ii recorded from the total thickness measured. These ichnofabric histograms (ichnograms) show variable but distinctive distributions for genetic units such as facies within systems tracts of siliciclastic depositional sequences. An average ichnofabric index for any genetic sedimentary unit can also be computed from the data used to construct ichnograms. Because skeletal fossils are typically much less commonly preserved in siliciclastic than carbonate depositional systems, such ichnofabric analyses have the potential of providing an important new line of evidence for depositional systems and sequence stratigraphic analysis of siliciclastic strata. In petroleum exploration results from completing analyses of ichnofabric distribution could provide important information including: (1) systems tracts with fine-grained facies that have relatively low ichnofabric values are potential source beds; and (2) petroleum reservoirs that occur in coarse episodically deposited beds are more likely to from in systems tracts with facies that have low rather than high ichnofabric values.

  18. Quantitative analysis of a deeply sequenced marine microbial metatranscriptome.

    PubMed

    Gifford, Scott M; Sharma, Shalabh; Rinta-Kanto, Johanna M; Moran, Mary Ann

    2011-03-01

    The potential of metatranscriptomic sequencing to provide insights into the environmental factors that regulate microbial activities depends on how fully the sequence libraries capture community expression (that is, sample-sequencing depth and coverage depth), and the sensitivity with which expression differences between communities can be detected (that is, statistical power for hypothesis testing). In this study, we use an internal standard approach to make absolute (per liter) estimates of transcript numbers, a significant advantage over proportional estimates that can be biased by expression changes in unrelated genes. Coastal waters of the southeastern United States contain 1 × 10(12) bacterioplankton mRNA molecules per liter of seawater (~200 mRNA molecules per bacterial cell). Even for the large bacterioplankton libraries obtained in this study (~500,000 possible protein-encoding sequences in each of two libraries after discarding rRNAs and small RNAs from >1 million 454 FLX pyrosequencing reads), sample-sequencing depth was only 0.00001%. Expression levels of 82 genes diagnostic for transformations in the marine nitrogen, phosphorus and sulfur cycles ranged from below detection (<1 × 10(6) transcripts per liter) for 36 genes (for example, phosphonate metabolism gene phnH, dissimilatory nitrate reductase subunit napA) to >2.7 × 10(9) transcripts per liter (ammonia transporter amt and ammonia monooxygenase subunit amoC). Half of the categories for which expression was detected, however, had too few copy numbers for robust statistical resolution, as would be required for comparative (experimental or time-series) expression studies. By representing whole community gene abundance and expression in absolute units (per volume or mass of environment), 'omics' data can be better leveraged to improve understanding of microbially mediated processes in the ocean.

  19. Targeted DNA methylation analysis by next-generation sequencing.

    PubMed

    Masser, Dustin R; Stanford, David R; Freeman, Willard M

    2015-02-24

    The role of epigenetic processes in the control of gene expression has been known for a number of years. DNA methylation at cytosine residues is of particular interest for epigenetic studies as it has been demonstrated to be both a long lasting and a dynamic regulator of gene expression. Efforts to examine epigenetic changes in health and disease have been hindered by the lack of high-throughput, quantitatively accurate methods. With the advent and popularization of next-generation sequencing (NGS) technologies, these tools are now being applied to epigenomics in addition to existing genomic and transcriptomic methodologies. For epigenetic investigations of cytosine methylation where regions of interest, such as specific gene promoters or CpG islands, have been identified and there is a need to examine significant numbers of samples with high quantitative accuracy, we have developed a method called Bisulfite Amplicon Sequencing (BSAS). This method combines bisulfite conversion with targeted amplification of regions of interest, transposome-mediated library construction and benchtop NGS. BSAS offers a rapid and efficient method for analysis of up to 10 kb of targeted regions in up to 96 samples at a time that can be performed by most research groups with basic molecular biology skills. The results provide absolute quantitation of cytosine methylation with base specificity. BSAS can be applied to any genomic region from any DNA source. This method is useful for hypothesis testing studies of target regions of interest as well as confirmation of regions identified in genome-wide methylation analyses such as whole genome bisulfite sequencing, reduced representation bisulfite sequencing, and methylated DNA immunoprecipitation sequencing.

  20. Comparative Analysis of Genome Sequences Covering the Seven Cronobacter Species

    PubMed Central

    Cummings, Craig A.; Shih, Rita; Degoricija, Lovorka; Rico, Alain; Brzoska, Pius; Hamby, Stephen E.; Masood, Naqash; Hariri, Sumyya; Sonbol, Hana; Chuzhanova, Nadia; McClelland, Michael; Furtado, Manohar R.; Forsythe, Stephen J.

    2012-01-01

    Background Species of Cronobacter are widespread in the environment and are occasional food-borne pathogens associated with serious neonatal diseases, including bacteraemia, meningitis, and necrotising enterocolitis. The genus is composed of seven species: C. sakazakii, C. malonaticus, C. turicensis, C. dublinensis, C. muytjensii, C. universalis, and C. condimenti. Clinical cases are associated with three species, C. malonaticus, C. turicensis and, in particular, with C. sakazakii multilocus sequence type 4. Thus, it is plausible that virulence determinants have evolved in certain lineages. Methodology/Principal Findings We generated high quality sequence drafts for eleven Cronobacter genomes representing the seven Cronobacter species, including an ST4 strain of C. sakazakii. Comparative analysis of these genomes together with the two publicly available genomes revealed Cronobacter has over 6,000 genes in one or more strains and over 2,000 genes shared by all Cronobacter. Considerable variation in the presence of traits such as type six secretion systems, metal resistance (tellurite, copper and silver), and adhesins were found. C. sakazakii is unique in the Cronobacter genus in encoding genes enabling the utilization of exogenous sialic acid which may have clinical significance. The C. sakazakii ST4 strain 701 contained additional genes as compared to other C. sakazakii but none of them were known specific virulence-related genes. Conclusions/Significance Genome comparison revealed that pair-wise DNA sequence identity varies between 89 and 97% in the seven Cronobacter species, and also suggested various degrees of divergence. Sets of universal core genes and accessory genes unique to each strain were identified. These gene sequences can be used for designing genus/species specific detection assays. Genes encoding adhesins, T6SS, and metal resistance genes as well as prophages are found in only subsets of genomes and have contributed considerably to the variation of

  1. Cloning and sequence analysis of candidate human natural killer-enhancing factor genes

    SciTech Connect

    Shau, H.; Butterfield, L.H.; Chiu, R.; Kim, A.

    1994-12-31

    A cytosol factor from human red blood cells enhances natural killer (NK) activity. This factor, termed NK-enhancing factor (NKEF), is a protein of 44000 M{sub r} consisting of two subunits of equal size linked by disulfide bonds. NKEF is expressed in the NK-sensitive erythroleukemic cell line K562. Using an antibody specific for NKEF as a probe for immunoblot screening, we isolated several clones from a {lambda}gt11 cDNA library of K562. Additional subcloning and sequencing revealed that the candidate NKEF cDNAs fell into one of two categories of closely related but non-identical genes, referred to as NKEF A and B. They are 88% identical in amino acid sequence and 71% identical in nucleotide sequence. Southern blot analysis suggests that there are two to three NKEF family members in the genome. Analysis of predicted amino acid sequences indicates that both NKEF A and B are cytosol proteins with several phosphorylation sites each, but that they have no glycosylation sites. They are significantly homologous to several other proteins from a wide variety of organisms ranging from prokaryotes to mammals, especially with regard to several well-conserved motifs within the amino acid sequences. The biological functions of these proteins in other species are mostly unknown, but some of them were reported to be induced by oxidative stress. Therefore, as well as for immunoregulation of NK activity, NKEF may be important for cells in coping with oxidative insults. 32 refs., 3 figs.

  2. Complete genome sequence of the cold-active bacteriophage VMY22 from Bacillus cereus.

    PubMed

    Qin, Kunhao; Cheng, Benxu; Zhang, Shengting; Wang, Nan; Fang, Yuan; Zhang, Qi; Kuang, Anxiu; Lin, Lianbing; Ji, Xiuling; Wei, Yunlin

    2016-06-01

    The cold-active bacteriophage VMY22, belonging to the Podoviridae family, was isolated from Mingyong Glacier in China. Sequence analysis revealed that the genome is 18,609 bp long, with an overall G + C content of 36.4 mol%, and 25 open reading frames (ORFs). The sequence contains 46 potential promoters, 6 transcription terminators, and no tRNAs. Most of the ORFs show a high degree of similarity to B103 (NC_004165). Two noteworthy findings were made. First, one of the predicted proteins, ORF 19, shows high sequence similarity to the bacteriocin biosynthesis protein from Bacillus cereus. From this information, we propose that the VMY22 phage is at an intermediate phase in its coevolution with its bacterial host. Second, seven of the hypothetical proteins appear to be unique to this cold-active B. cereus phage (i.e., not found in temperate-active B. cereus phages). These observations add to our current knowledge about the coevolution of bacteriophages and their hosts. The identification of a novel group of gene and protein structures and functions will lead to a better understanding of cold-adaptation mechanisms in bacteria and their bacteriophages.

  3. Nonlinear analysis of correlations in Alu repeat sequences in DNA

    NASA Astrophysics Data System (ADS)

    Xiao, Yi; Huang, Yanzhao; Li, Mingfeng; Xu, Ruizhen; Xiao, Saifeng

    2003-12-01

    We report on a nonlinear analysis of deterministic structures in Alu repeats, one of the richest repetitive DNA sequences in the human genome. Alu repeats contain the recognition sites for the restriction endonuclease AluI, which is what gives them their name. Using the nonlinear prediction method developed in chaos theory, we find that all Alu repeats have novel deterministic structures and show strong nonlinear correlations that are absent from exon and intron sequences. Furthermore, the deterministic structures of Alus of younger subfamilies show panlike shapes. As young Alus can be seen as mutation free copies from the “master genes,” it may be suggested that the deterministic structures of the older subfamilies are results of an evolution from a “panlike” structure to a more diffuse correlation pattern due to mutation.

  4. Introduction to the analysis of environmental sequences: metagenomics with MEGAN.

    PubMed

    Huson, Daniel H; Mitra, Suparna

    2012-01-01

    Metagenomics is the study of microbial organisms using sequencing applied directly to environmental samples. Similarly, in metatranscriptomics and metaproteomics, the RNA and protein sequences of such samples are studied. The analysis of these kinds of data often starts by asking the questions of "who is out there?", "what are they doing?", and "how do they compare?". In this chapter, we describe how these computational questions can be addressed using MEGAN, the MEtaGenome ANalyzer program. We first show how to analyze the taxonomic and functional content of a single dataset and then show how such analyses can be performed in a comparative fashion. We demonstrate how to compare different datasets using ecological indices and other distance measures. The discussion is conducted using a number of published marine datasets comprising metagenomic, metatranscriptomic, metaproteomic, and 16S rRNA data.

  5. Cladistic analysis of iridoviruses based on protein and DNA sequences.

    PubMed

    Wang, J W; Deng, R Q; Wang, X Z; Huang, Y S; Xing, K; Feng, J H; He, J G; Long, Q X

    2003-11-01

    Cladograms of iridoviruses were inferred from bootstrap analysis of molecular data sets comprising all published protein and DNA sequences of the major capsid protein, ATPase and DNA polymerase genes of members of the Iridoviridae family Iridovirus. All data sets yielded cladograms supporting the separation of the Iridovirus, Ranavirus and Lymphocystivirus genera, and the cladogram based on data derived from major capsid proteins further divided both the Iridovirus and Ranavirus genera into two groups. Tests of alternative hypotheses of topological constraints were also performed to further investigate relationships between infectious spleen and kidney necrosis virus (ISKNV), an unclassified fish iridovirus for which the complete genome sequence data is available, and other iridoviruses. Cladograms inferred and results of Shimodaira-Hasegawa tests indicated that ISKNV is more closely related to the Ranavirus genus than it is to the other genera of the family.

  6. Ensemble analysis of adaptive compressed genome sequencing strategies

    PubMed Central

    2014-01-01

    Background Acquiring genomes at single-cell resolution has many applications such as in the study of microbiota. However, deep sequencing and assembly of all of millions of cells in a sample is prohibitively costly. A property that can come to rescue is that deep sequencing of every cell should not be necessary to capture all distinct genomes, as the majority of cells are biological replicates. Biologically important samples are often sparse in that sense. In this paper, we propose an adaptive compressed method, also known as distilled sensing, to capture all distinct genomes in a sparse microbial community with reduced sequencing effort. As opposed to group testing in which the number of distinct events is often constant and sparsity is equivalent to rarity of an event, sparsity in our case means scarcity of distinct events in comparison to the data size. Previously, we introduced the problem and proposed a distilled sensing solution based on the breadth first search strategy. We simulated the whole process which constrained our ability to study the behavior of the algorithm for the entire ensemble due to its computational intensity. Results In this paper, we modify our previous breadth first search strategy and introduce the depth first search strategy. Instead of simulating the entire process, which is intractable for a large number of experiments, we provide a dynamic programming algorithm to analyze the behavior of the method for the entire ensemble. The ensemble analysis algorithm recursively calculates the probability of capturing every distinct genome and also the expected total sequenced nucleotides for a given population profile. Our results suggest that the expected total sequenced nucleotides grows proportional to log of the number of cells and proportional linearly with the number of distinct genomes. The probability of missing a genome depends on its abundance and the ratio of its size over the maximum genome size in the sample. The modified resource

  7. Analysis of sequence diversity through internal transcribed spacers and simple sequence repeats to identify Dendrobium species.

    PubMed

    Liu, Y T; Chen, R K; Lin, S J; Chen, Y C; Chin, S W; Chen, F C; Lee, C Y

    2014-04-08

    The Orchidaceae is one of the largest and most diverse families of flowering plants. The Dendrobium genus has high economic potential as ornamental plants and for medicinal purposes. In addition, the species of this genus are able to produce large crops. However, many Dendrobium varieties are very similar in outward appearance, making it difficult to distinguish one species from another. This study demonstrated that the 12 Dendrobium species used in this study may be divided into 2 groups by internal transcribed spacer (ITS) sequence analysis. Red and yellow flowers may also be used to separate these species into 2 main groups. In particular, the deciduous characteristic is associated with the ITS genetic diversity of the A group. Of 53 designed simple sequence repeat (SSR) primer pairs, 7 pairs were polymorphic for polymerase chain reaction products that were amplified from a specific band. The results of this study demonstrate that these 7 SSR primer pairs may potentially be used to identify Dendrobium species and their progeny in future studies.

  8. Decrease in gamma-band activity tracks sequence learning

    PubMed Central

    Madhavan, Radhika; Millman, Daniel; Tang, Hanlin; Crone, Nathan E.; Lenz, Fredrick A.; Tierney, Travis S.; Madsen, Joseph R.; Kreiman, Gabriel; Anderson, William S.

    2015-01-01

    Learning novel sequences constitutes an example of declarative memory formation, involving conscious recall of temporal events. Performance in sequence learning tasks improves with repetition and involves forming temporal associations over scales of seconds to minutes. To further understand the neural circuits underlying declarative sequence learning over trials, we tracked changes in intracranial field potentials (IFPs) recorded from 1142 electrodes implanted throughout temporal and frontal cortical areas in 14 human subjects, while they learned the temporal-order of multiple sequences of images over trials through repeated recall. We observed an increase in power in the gamma frequency band (30–100 Hz) in the recall phase, particularly in areas within the temporal lobe including the parahippocampal gyrus. The degree of this gamma power enhancement decreased over trials with improved sequence recall. Modulation of gamma power was directly correlated with the improvement in recall performance. When presenting new sequences, gamma power was reset to high values and decreased again after learning. These observations suggest that signals in the gamma frequency band may play a more prominent role during the early steps of the learning process rather than during the maintenance of memory traces. PMID:25653598

  9. Isolation and sequence analysis of napin seed specific promoter from Iranian Rapeseed (Brassica napus L.).

    PubMed

    Sohrabi, Maryam; Zebarjadi, Alireza; Najaphy, Abdollah; Kahrizi, Danial

    2015-06-01

    Rapeseed (Brassica napus L.) has become an important crop during the last 30years. In addition to a high lipid level, the seeds also have a significant protein content, which constitutes 20-25% of the dry seed weight. The synthesis of storage proteins is primarily controlled at transcriptional level and seed-specific expression has been shown to be conferred upon the promoter regions of many storage protein genes. Napin is one of the main storage proteins in rapeseed(')s embryo that is produced in seed developing stage. Its promoter region located at 5' upstream of the napin gene has already been isolated (GenBank number, EU416279.1). In current research, seed-specific promoter (napin) of Iranian B. napus L. was isolated from the genomic DNA and cloned into pBI121 plant binary vector to use in future researches. For this purpose, the napin promoter was amplified by PCR method using specific primers, cloned in pSK(+) vector and sequenced. Sequencing analysis showed that the cloned promoter contained all of conserved motifs such as TATA box (TATAAA), RY repeats (CATGCA), dist-B (TCAAACACC) and prox-B elements (GCCACTTGTC), G-box (CACGTG) and CAAT Motifs, which constituted the seed-specific promoter activity and according to this analysis, the seed-specific promoter activity of cloned sequence was predicted. Based on sequence distances of nucleotide sequences, our sequence had the highest similarity (99.8%) whit B. napus sequence (with EU416279.1 accession number). Finally the promoter obtained might be interesting not only as a useful tool for biotechnological application but also for fundamental research.

  10. Isolation and sequence analysis of napin seed specific promoter from Iranian Rapeseed (Brassica napus L.).

    PubMed

    Sohrabi, Maryam; Zebarjadi, Alireza; Najaphy, Abdollah; Kahrizi, Danial

    2015-06-01

    Rapeseed (Brassica napus L.) has become an important crop during the last 30years. In addition to a high lipid level, the seeds also have a significant protein content, which constitutes 20-25% of the dry seed weight. The synthesis of storage proteins is primarily controlled at transcriptional level and seed-specific expression has been shown to be conferred upon the promoter regions of many storage protein genes. Napin is one of the main storage proteins in rapeseed(')s embryo that is produced in seed developing stage. Its promoter region located at 5' upstream of the napin gene has already been isolated (GenBank number, EU416279.1). In current research, seed-specific promoter (napin) of Iranian B. napus L. was isolated from the genomic DNA and cloned into pBI121 plant binary vector to use in future researches. For this purpose, the napin promoter was amplified by PCR method using specific primers, cloned in pSK(+) vector and sequenced. Sequencing analysis showed that the cloned promoter contained all of conserved motifs such as TATA box (TATAAA), RY repeats (CATGCA), dist-B (TCAAACACC) and prox-B elements (GCCACTTGTC), G-box (CACGTG) and CAAT Motifs, which constituted the seed-specific promoter activity and according to this analysis, the seed-specific promoter activity of cloned sequence was predicted. Based on sequence distances of nucleotide sequences, our sequence had the highest similarity (99.8%) whit B. napus sequence (with EU416279.1 accession number). Finally the promoter obtained might be interesting not only as a useful tool for biotechnological application but also for fundamental research. PMID:25797503

  11. DANPOS: dynamic analysis of nucleosome position and occupancy by sequencing.

    PubMed

    Chen, Kaifu; Xi, Yuanxin; Pan, Xuewen; Li, Zhaoyu; Kaestner, Klaus; Tyler, Jessica; Dent, Sharon; He, Xiangwei; Li, Wei

    2013-02-01

    Recent developments in next-generation sequencing have enabled whole-genome profiling of nucleosome organizations. Although several algorithms for inferring nucleosome position from a single experimental condition have been available, it remains a challenge to accurately define dynamic nucleosomes associated with environmental changes. Here, we report a comprehensive bioinformatics pipeline, DANPOS, explicitly designed for dynamic nucleosome analysis at single-nucleotide resolution. Using both simulated and real nucleosome data, we demonstrated that bias correction in preliminary data processing and optimal statistical testing significantly enhances the functional interpretation of dynamic nucleosomes. The single-nucleotide resolution analysis of DANPOS allows us to detect all three categories of nucleosome dynamics, such as position shift, fuzziness change, and occupancy change, using a uniform statistical framework. Pathway analysis indicates that each category is involved in distinct biological functions. We also analyzed the influence of sequencing depth and suggest that even 200-fold coverage is probably not enough to identify all the dynamic nucleosomes. Finally, based on nucleosome data from the human hematopoietic stem cells (HSCs) and mouse embryonic stem cells (ESCs), we demonstrated that DANPOS is also robust in defining functional dynamic nucleosomes, not only in promoters, but also in distal regulatory regions in the mammalian genome. PMID:23193179

  12. Sequence analysis of mutations and translocations across breast cancer subtypes

    PubMed Central

    Banerji, Shantanu; Cibulskis, Kristian; Rangel-Escareno, Claudia; Brown, Kristin K.; Carter, Scott L.; Frederick, Abbie M.; Lawrence, Michael S.; Sivachenko, Andrey Y.; Sougnez, Carrie; Zou, Lihua; Cortes, Maria L.; Fernandez-Lopez, Juan C.; Peng, Shouyong; Ardlie, Kristin G.; Auclair, Daniel; Bautista-Piña, Veronica; Duke, Fujiko; Francis, Joshua; Jung, Joonil; Maffuz-Aziz, Antonio; Onofrio, Robert C.; Parkin, Melissa; Pho, Nam H.; Quintanar-Jurado, Valeria; Ramos, Alex H.; Rebollar-Vega, Rosa; Rodriguez-Cuevas, Sergio; Romero-Cordoba, Sandra L.; Schumacher, Steven E.; Stransky, Nicolas; Thompson, Kristin M.; Uribe-Figueroa, Laura; Baselga, Jose; Beroukhim, Rameen; Polyak, Kornelia; Sgroi, Dennis C.; Richardson, Andrea L.; Jimenez-Sanchez, Gerardo; Lander, Eric S.; Gabriel, Stacey B.; Garraway, Levi A.; Golub, Todd R.; Melendez-Zajgla, Jorge; Toker, Alex; Getz, Gad; Hidalgo-Miranda, Alfredo; Meyerson, Matthew

    2014-01-01

    Breast carcinoma is the leading cause of cancer-related mortality in women worldwide with an estimated 1.38 million new cases and 458,000 deaths in 2008 alone1. This malignancy represents a heterogeneous group of tumours with characteristic molecular features, prognosis, and responses to available therapy2–4. Recurrent somatic alterations in breast cancer have been described including mutations and copy number alterations, notably ERBB2 amplifications, the first successful therapy target defined by a genomic aberration5. Prior DNA sequencing studies of breast cancer genomes have revealed additional candidate mutations and gene rearrangements 6–10. Here we report the whole-exome sequences of DNA from 103 human breast cancers of diverse subtypes from patients in Mexico and Vietnam compared to matched-normal DNA, together with whole-genome sequences of 22 breast cancer/normal pairs. Beyond confirming recurrent somatic mutations in PIK3CA11, TP536, AKT112, GATA313, and MAP3K110, we discovered recurrent mutations in the CBFB transcription factor gene and deletions of its partner RUNX1. Furthermore, we have identified a recurrent MAGI3-AKT3 fusion enriched in triple-negative breast cancer lacking estrogen and progesterone receptors and ERBB2 expression. The Magi3-Akt3 fusion leads to constitutive activation of Akt kinase, which is abolished by treatment with an ATP-competitive Akt small-molecule inhibitor. PMID:22722202

  13. Integrated visual analysis of protein structures, sequences, and feature data

    PubMed Central

    2015-01-01

    Background To understand the molecular mechanisms that give rise to a protein's function, biologists often need to (i) find and access all related atomic-resolution 3D structures, and (ii) map sequence-based features (e.g., domains, single-nucleotide polymorphisms, post-translational modifications) onto these structures. Results To streamline these processes we recently developed Aquaria, a resource offering unprecedented access to protein structure information based on an all-against-all comparison of SwissProt and PDB sequences. In this work, we provide a requirements analysis for several frequently occuring tasks in molecular biology and describe how design choices in Aquaria meet these requirements. Finally, we show how the interface can be used to explore features of a protein and gain biologically meaningful insights in two case studies conducted by domain experts. Conclusions The user interface design of Aquaria enables biologists to gain unprecedented access to molecular structures and simplifies the generation of insight. The tasks involved in mapping sequence features onto structures can be conducted easier and faster using Aquaria. PMID:26329268

  14. Determining physical constraints in transcriptional initiationcomplexes using DNA sequence analysis

    SciTech Connect

    Shultzaberger, Ryan K.; Chiang, Derek Y.; Moses, Alan M.; Eisen,Michael B.

    2007-07-01

    Eukaryotic gene expression is often under the control ofcooperatively acting transcription factors whose binding is limited bystructural constraints. By determining these structural constraints, wecan understand the "rules" that define functional cooperativity.Conversely, by understanding the rules of binding, we can inferstructural characteristics. We have developed an information theory basedmethod for approximating the physical limitations of cooperativeinteractions by comparing sequence analysis to microarray expressiondata. When applied to the coordinated binding of the sulfur amino acidregulatory protein Met4 by Cbf1 and Met31, we were able to create acombinatorial model that can correctly identify Met4 regulatedgenes.

  15. Experience using web services for biological sequence analysis

    PubMed Central

    Attwood, Teresa; Chohan, Shahid Nadeem; Côté, Richard; Cudré-Mauroux, Philippe; Falquet, Laurent; Fernandes, Pedro; Finn, Robert D.; Hupponen, Taavi; Korpelainen, Eija; Labarga, Alberto; Laugraud, Aurelie; Lima, Tania; Pafilis, Evangelos; Pagni, Marco; Pettifer, Steve; Phan, Isabelle; Rahman, Nazim

    2008-01-01

    Programmatic access to data and tools through the web using so-called web services has an important role to play in bioinformatics. In this article, we discuss the most popular approaches based on SOAP/WS-I and REST and describe our, a cross section of the community, experiences with providing and using web services in the context of biological sequence analysis. We briefly review main technological approaches as well as best practice hints that are useful for both users and developers. Finally, syntactic and semantic data integration issues with multiple web services are discussed. PMID:18621748

  16. Experience using web services for biological sequence analysis.

    PubMed

    Stockinger, Heinz; Attwood, Teresa; Chohan, Shahid Nadeem; Côté, Richard; Cudré-Mauroux, Philippe; Falquet, Laurent; Fernandes, Pedro; Finn, Robert D; Hupponen, Taavi; Korpelainen, Eija; Labarga, Alberto; Laugraud, Aurelie; Lima, Tania; Pafilis, Evangelos; Pagni, Marco; Pettifer, Steve; Phan, Isabelle; Rahman, Nazim

    2008-11-01

    Programmatic access to data and tools through the web using so-called web services has an important role to play in bioinformatics. In this article, we discuss the most popular approaches based on SOAP/WS-I and REST and describe our, a cross section of the community, experiences with providing and using web services in the context of biological sequence analysis. We briefly review main technological approaches as well as best practice hints that are useful for both users and developers. Finally, syntactic and semantic data integration issues with multiple web services are discussed.

  17. Structure prediction and analysis of neuraminidase sequence variants.

    PubMed

    Thayer, Kelly M

    2016-07-01

    Analyzing protein structure has become an integral aspect of understanding systems of biochemical import. The laboratory experiment endeavors to introduce protein folding to ascertain structures of proteins for which the structure is unavailable, as well as to critically evaluate the quality of the prediction obtained. The model system used is the highly mutable influenza virus protein neuraminidase, which is the key target in the development of therapeutics. In light of recent pandemics, understanding how mutations confer drug resistance, which translates at the molecular level to understanding how different sequence variants differ, constitutes an area of great interest because of the ramifications in public health. This lab targets upper level undergraduate biochemistry students, and aims to introduce tools to be used to explore protein folding and protein visualization in the context of the neuraminidase case study. Students proceed to critically evaluate the folded models by comparison with crystallographic structures. When validity is established, they fold a neuraminidase sequence for which a structure is not available. Through structural alignment and visual inspection of the 150 loop, students gain molecular insight into two possible conformations of the protein, which are actively being studied. Folding the third chosen sequence mimics a true research environment in allowing students to generate a structure from a sequence for which a structure was not previously available, and to assess whether their particular variant has an open or closed loop. From this vantage, they are then challenged to speculate about the connection between loop conformation and drug susceptibility. © 2016 by The International Union of Biochemistry and Molecular Biology, 44(4):361-376, 2016. PMID:26900942

  18. Generalization of Entropy Based Divergence Measures for Symbolic Sequence Analysis

    PubMed Central

    Ré, Miguel A.; Azad, Rajeev K.

    2014-01-01

    Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrized and smoothed form of Kullback-Leibler divergence or relative entropy, the Jensen-Shannon divergence (JSD), is of particular interest because of its sharing properties with families of other divergence measures and its interpretability in different domains including statistical physics, information theory and mathematical statistics. The uniqueness and versatility of this measure arise because of a number of attributes including generalization to any number of probability distributions and association of weights to the distributions. Furthermore, its entropic formulation allows its generalization in different statistical frameworks, such as, non-extensive Tsallis statistics and higher order Markovian statistics. We revisit these generalizations and propose a new generalization of JSD in the integrated Tsallis and Markovian statistical framework. We show that this generalization can be interpreted in terms of mutual information. We also investigate the performance of different JSD generalizations in deconstructing chimeric DNA sequences assembled from bacterial genomes including that of E. coli, S. enterica typhi, Y. pestis and H. influenzae. Our results show that the JSD generalizations bring in more pronounced improvements when the sequences being compared are from phylogenetically proximal organisms, which are often difficult to distinguish because of their compositional similarity. While small but noticeable improvements were observed with the Tsallis statistical JSD generalization, relatively large improvements were observed with the Markovian generalization. In contrast, the proposed Tsallis-Markovian generalization yielded more pronounced improvements relative to the Tsallis and Markovian generalizations, specifically when the sequences being compared arose from phylogenetically proximal organisms. PMID:24728338

  19. Generalization of entropy based divergence measures for symbolic sequence analysis.

    PubMed

    Ré, Miguel A; Azad, Rajeev K

    2014-01-01

    Entropy based measures have been frequently used in symbolic sequence analysis. A symmetrized and smoothed form of Kullback-Leibler divergence or relative entropy, the Jensen-Shannon divergence (JSD), is of particular interest because of its sharing properties with families of other divergence measures and its interpretability in different domains including statistical physics, information theory and mathematical statistics. The uniqueness and versatility of this measure arise because of a number of attributes including generalization to any number of probability distributions and association of weights to the distributions. Furthermore, its entropic formulation allows its generalization in different statistical frameworks, such as, non-extensive Tsallis statistics and higher order Markovian statistics. We revisit these generalizations and propose a new generalization of JSD in the integrated Tsallis and Markovian statistical framework. We show that this generalization can be interpreted in terms of mutual information. We also investigate the performance of different JSD generalizations in deconstructing chimeric DNA sequences assembled from bacterial genomes including that of E. coli, S. enterica typhi, Y. pestis and H. influenzae. Our results show that the JSD generalizations bring in more pronounced improvements when the sequences being compared are from phylogenetically proximal organisms, which are often difficult to distinguish because of their compositional similarity. While small but noticeable improvements were observed with the Tsallis statistical JSD generalization, relatively large improvements were observed with the Markovian generalization. In contrast, the proposed Tsallis-Markovian generalization yielded more pronounced improvements relative to the Tsallis and Markovian generalizations, specifically when the sequences being compared arose from phylogenetically proximal organisms. PMID:24728338

  20. In Vivo Enhancer Analysis Chromosome 16 Conserved NoncodingSequences

    SciTech Connect

    Pennacchio, Len A.; Ahituv, Nadav; Moses, Alan M.; Nobrega,Marcelo; Prabhakar, Shyam; Shoukry, Malak; Minovitsky, Simon; Visel,Axel; Dubchak, Inna; Holt, Amy; Lewis, Keith D.; Plajzer-Frick, Ingrid; Akiyama, Jennifer; De Val, Sarah; Afzal, Veena; Black, Brian L.; Couronne, Olivier; Eisen, Michael B.; Rubin, Edward M.

    2006-02-01

    The identification of enhancers with predicted specificitiesin vertebrate genomes remains a significant challenge that is hampered bya lack of experimentally validated training sets. In this study, weleveraged extreme evolutionary sequence conservation as a filter toidentify putative gene regulatory elements and characterized the in vivoenhancer activity of human-fish conserved and ultraconserved1 noncodingelements on human chromosome 16 as well as such elements from elsewherein the genome. We initially tested 165 of these extremely conservedsequences in a transgenic mouse enhancer assay and observed that 48percent (79/165) functioned reproducibly as tissue-specific enhancers ofgene expression at embryonic day 11.5. While driving expression in abroad range of anatomical structures in the embryo, the majority of the79 enhancers drove expression in various regions of the developingnervous system. Studying a set of DNA elements that specifically droveforebrain expression, we identified DNA signatures specifically enrichedin these elements and used these parameters to rank all ~;3,400human-fugu conserved noncoding elements in the human genome. The testingof the top predictions in transgenic mice resulted in a three-foldenrichment for sequences with forebrain enhancer activity. These datadramatically expand the catalogue of in vivo-characterized human geneenhancers and illustrate the future utility of such training sets for avariety of iological applications including decoding the regulatoryvocabulary of the human genome.

  1. DNA sequence-based analysis of the Pseudomonas species.

    PubMed

    Mulet, Magdalena; Lalucat, Jorge; García-Valdés, Elena

    2010-06-01

    Partial sequences of four core 'housekeeping' genes (16S rRNA, gyrB, rpoB and rpoD) of the type strains of 107 Pseudomonas species were analysed in order to obtain a comprehensive view regarding the phylogenetic relationships within the Pseudomonas genus. Gene trees allowed the discrimination of two lineages or intrageneric groups (IG), called IG P. aeruginosa and IG P. fluorescens. The first IG P. aeruginosa, was divided into three main groups, represented by the species P. aeruginosa, P. stutzeri and P. oleovorans. The second IG was divided into six groups, represented by the species P. fluorescens, P. syringae, P. lutea, P. putida, P. anguilliseptica and P. straminea. The P. fluorescens group was the most complex and included nine subgroups, represented by the species P. fluorescens, P. gessardi, P. fragi, P. mandelii, P. jesseni, P. koreensis, P. corrugata, P. chlororaphis and P. asplenii. Pseudomonas rhizospherae was affiliated with the P. fluorescens IG in the phylogenetic analysis but was independent of any group. Some species were located on phylogenetic branches that were distant from defined clusters, such as those represented by the P. oryzihabitans group and the type strains P. pachastrellae, P. pertucinogena and P. luteola. Additionally, 17 strains of P. aeruginosa, 'P. entomophila', P. fluorescens, P. putida, P. syringae and P. stutzeri, for which genome sequences have been determined, have been included to compare the results obtained in the analysis of four housekeeping genes with those obtained from whole genome analyses.

  2. Streaming Support for Data Intensive Cloud-Based Sequence Analysis

    PubMed Central

    Issa, Shadi A.; Kienzler, Romeo; El-Kalioby, Mohamed; Tonellato, Peter J.; Wall, Dennis; Bruggmann, Rémy; Abouelhoda, Mohamed

    2013-01-01

    Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology. Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources. However, the large size of NGS data causes a significant data transfer latency from the client's site to the cloud, which presents a bottleneck for using cloud computing services. In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud. Our scheme targets the wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another. We also provide the elastream package that supports the use of this scheme with individual analysis programs or with workflow systems. Experiments presented in this paper show that our solution mitigates the effect of data transfer latency and saves both time and cost of computation. PMID:23710461

  3. DNA sequence-based analysis of the Pseudomonas species.

    PubMed

    Mulet, Magdalena; Lalucat, Jorge; García-Valdés, Elena

    2010-06-01

    Partial sequences of four core 'housekeeping' genes (16S rRNA, gyrB, rpoB and rpoD) of the type strains of 107 Pseudomonas species were analysed in order to obtain a comprehensive view regarding the phylogenetic relationships within the Pseudomonas genus. Gene trees allowed the discrimination of two lineages or intrageneric groups (IG), called IG P. aeruginosa and IG P. fluorescens. The first IG P. aeruginosa, was divided into three main groups, represented by the species P. aeruginosa, P. stutzeri and P. oleovorans. The second IG was divided into six groups, represented by the species P. fluorescens, P. syringae, P. lutea, P. putida, P. anguilliseptica and P. straminea. The P. fluorescens group was the most complex and included nine subgroups, represented by the species P. fluorescens, P. gessardi, P. fragi, P. mandelii, P. jesseni, P. koreensis, P. corrugata, P. chlororaphis and P. asplenii. Pseudomonas rhizospherae was affiliated with the P. fluorescens IG in the phylogenetic analysis but was independent of any group. Some species were located on phylogenetic branches that were distant from defined clusters, such as those represented by the P. oryzihabitans group and the type strains P. pachastrellae, P. pertucinogena and P. luteola. Additionally, 17 strains of P. aeruginosa, 'P. entomophila', P. fluorescens, P. putida, P. syringae and P. stutzeri, for which genome sequences have been determined, have been included to compare the results obtained in the analysis of four housekeeping genes with those obtained from whole genome analyses. PMID:20192968

  4. Developmental Sequences of Perceptual-Motor Tasks, Movement Activities for Neurologically Handicapped and Retarded Children and Youth.

    ERIC Educational Resources Information Center

    Cratty, Bryant J.

    Intended for special education and physical education teachers, the handbook presents selected developmental sequences of activities based on the analysis of perceptual motor characteristics of groups of retarded and neurologically handicapped children. Four classifications of children and their perceptual motor characteristics are discussed: the…

  5. Pathway analysis with next-generation sequencing data.

    PubMed

    Zhao, Jinying; Zhu, Yun; Boerwinkle, Eric; Xiong, Momiao

    2015-04-01

    Although pathway analysis methods have been developed and successfully applied to association studies of common variants, the statistical methods for pathway-based association analysis of rare variants have not been well developed. Many investigators observed highly inflated false-positive rates and low power in pathway-based tests of association of rare variants. The inflated false-positive rates and low true-positive rates of the current methods are mainly due to their lack of ability to account for gametic phase disequilibrium. To overcome these serious limitations, we develop a novel statistic that is based on the smoothed functional principal component analysis (SFPCA) for pathway association tests with next-generation sequencing data. The developed statistic has the ability to capture position-level variant information and account for gametic phase disequilibrium. By intensive simulations, we demonstrate that the SFPCA-based statistic for testing pathway association with either rare or common or both rare and common variants has the correct type 1 error rates. Also the power of the SFPCA-based statistic and 22 additional existing statistics are evaluated. We found that the SFPCA-based statistic has a much higher power than other existing statistics in all the scenarios considered. To further evaluate its performance, the SFPCA-based statistic is applied to pathway analysis of exome sequencing data in the early-onset myocardial infarction (EOMI) project. We identify three pathways significantly associated with EOMI after the Bonferroni correction. In addition, our preliminary results show that the SFPCA-based statistic has much smaller P-values to identify pathway association than other existing methods. PMID:24986826

  6. Analysis of expressed sequence tags from Plasmodium falciparum.

    PubMed

    Chakrabarti, D; Reddy, G R; Dame, J B; Almira, E C; Laipis, P J; Ferl, R J; Yang, T P; Rowe, T C; Schuster, S M

    1994-07-01

    An initiative was undertaken to sequence all genes of the human malaria parasite Plasmodium falciparum in an effort to gain a better understanding at the molecular level of the parasite that inflicts much suffering in the developing world. 550 random complimentary DNA clones were partially sequenced from the intraerythrocytic form of the parasite as one of the approaches to analyze the transcribed sequences of its genome. The sequences, after editing, generated 389 expressed sequence tag sites and over 105 kb of DNA sequences. About 32% of these clones showed significant homology with other genes in the database. These clones represent 340 new Plasmodium falciparum expressed sequence tags.

  7. MethVisual - visualization and exploratory statistical analysis of DNA methylation profiles from bisulfite sequencing

    PubMed Central

    2010-01-01

    Background Exploration of DNA methylation and its impact on various regulatory mechanisms has become a very active field of research. Simultaneously there is an arising need for tools to process and analyse the data together with statistical investigation and visualisation. Findings MethVisual is a new application that enables exploratory analysis and intuitive visualization of DNA methylation data as is typically generated by bisulfite sequencing. The package allows the import of DNA methylation sequences, aligns them and performs quality control comparison. It comprises basic analysis steps as lollipop visualization, co-occurrence display of methylation of neighbouring and distant CpG sites, summary statistics on methylation status, clustering and correspondence analysis. The package has been developed for methylation data but can be also used for other data types for which binary coding can be inferred. The application of the package, as well as a comparison to existing DNA methylation analysis tools and its workflow based on two datasets is presented in this paper. Conclusions The R package MethVisual offers various analysis procedures for data that can be binarized, in particular for bisulfite sequenced methylation data. R/Bioconductor has become one of the most important environments for statistical analysis of various types of biological and medical data. Therefore, any data analysis within R that allows the integration of various data types as provided from different technological platforms is convenient. It is the first and so far the only specific package for DNA methylation analysis, in particular for bisulfite sequenced data available in R/Bioconductor enviroment. The package is available for free at http://methvisual.molgen.mpg.de/ and from the Bioconductor Consortium http://www.bioconductor.org. PMID:21159174

  8. Context based computational analysis and characterization of ARS consensus sequences (ACS) of Saccharomyces cerevisiae genome.

    PubMed

    Singh, Vinod Kumar; Krishnamachari, Annangarachari

    2016-09-01

    Genome-wide experimental studies in Saccharomyces cerevisiae reveal that autonomous replicating sequence (ARS) requires an essential consensus sequence (ACS) for replication activity. Computational studies identified thousands of ACS like patterns in the genome. However, only a few hundreds of these sites act as replicating sites and the rest are considered as dormant or evolving sites. In a bid to understand the sequence makeup of replication sites, a content and context-based analysis was performed on a set of replicating ACS sequences that binds to origin-recognition complex (ORC) denoted as ORC-ACS and non-replicating ACS sequences (nrACS), that are not bound by ORC. In this study, DNA properties such as base composition, correlation, sequence dependent thermodynamic and DNA structural profiles, and their positions have been considered for characterizing ORC-ACS and nrACS. Analysis reveals that ORC-ACS depict marked differences in nucleotide composition and context features in its vicinity compared to nrACS. Interestingly, an A-rich motif was also discovered in ORC-ACS sequences within its nucleosome-free region. Profound changes in the conformational features, such as DNA helical twist, inclination angle and stacking energy between ORC-ACS and nrACS were observed. Distribution of ACS motifs in the non-coding segments points to the locations of ORC-ACS which are found far away from the adjacent gene start position compared to nrACS thereby enabling an accessible environment for ORC-proteins. Our attempt is novel in considering the contextual view of ACS and its flanking region along with nucleosome positioning in the S. cerevisiae genome and may be useful for any computational prediction scheme. PMID:27508123

  9. Canine amino acid transport system Xc(-): cDNA sequence, distribution and cystine transport activity in lens epithelial cells.

    PubMed

    Maruo, Takuya; Kanemaki, Nobuyuki; Onda, Ken; Sato, Reiichiro; Ichihara, Nobuteru; Ochiai, Hideharu

    2014-04-01

    The cystine transport activity of a lens epithelial cell line originated from a canine mature cataract was investigated. The distinct cystine transport activity was observed, which was inhibited to 28% by extracellular 1 mM glutamate. The cDNA sequences of canine cysteine/glutamate exchanger (xCT) and 4F2hc were determined. The predicted amino acid sequences were 527 and 533 amino acid polypeptides, respectively. The amino acid sequences of canine xCT and 4F2hc showed high similarities (>80%) to those of humans. The expression of xCT in lens epithelial cell line was confirmed by western blot analysis. RT-PCR analysis revealed high level expression only in the brain, and it was below the detectable level in other tissues.

  10. Detection of an activated JAK3 variant and a Xq26.3 microdeletion causing loss of PHF6 and miR-424 expression in myelodysplastic syndromes by combined targeted next generation sequencing and SNP array analysis.

    PubMed

    Kunze, Kristin; Gamerdinger, Ulrike; Leßig-Owlanj, Jacqueline; Sorokina, Marina; Brobeil, Alexander; Tur, Mehmet Kemal; Blau, Wolfgang; Burchardt, Alexander; Käbisch, Andreas; Schliesser, Georg; Kiehl, Michael; Rosenwald, Andreas; Rummel, Mathias; Grimminger, Friedrich; Hain, Torsten; Chakraborty, Trinad; Bräuninger, Andreas; Gattenlöhner, Stefan

    2014-06-01

    Myelodysplastic syndromes (MDS) are hematopoietic disorders characterized by ineffective hematopoiesis and progression to acute leukemia. In patients ineligible for hematopoietic stem cell transplantation, azacitidine is the only treatment shown to prolong survival. However, with the availability of a growing compendium of cancer biomarkers and related drugs, analysis of relevant genetic alterations for individual MDS patients might become part of routine evaluation. Therefore and in order to cover the entire bone marrow microenvironment involved in the pathogenesis of MDS, SNP array analysis and targeted next generation sequencing (tNGS) for the mostly therapy relevant 46 onco- and tumor-suppressor genes were performed on bone marrow biopsies from 29 MDS patients. In addition to the detection of mutations known to be associated with MDS in NRAS, KRAS, MPL, NPM1, IDH1, PTPN11, APC and MET, single nucleotide variants so far unrelated to MDS in STK11 (n=1), KDR (n=3), ATM (n=1) and JAK3 (n=2) were identified. Moreover, a recurrent microdeletion was detected in Xq26.3 (n=2), causing loss of PHF6 expression, a potential tumor suppressor gene, and the miR-424, which is involved in the development of acute myeloid leukemia. Finally, combined genetic aberrations affecting the VEGF/VEGFR pathway were found in the majority of cases demonstrating the diversity of mutations affecting different nodes of a particular signaling network as an intrinsic feature in MDS patients. We conclude that combined SNP array analyses and tNGS can identify established and novel therapy relevant genomic aberrations in MDS patients and track them in a clinical setting for individual therapy selection.

  11. Protein evolution analysis of S-hydroxynitrile lyase by complete sequence design utilizing the INTMSAlign software.

    PubMed

    Nakano, Shogo; Asano, Yasuhisa

    2015-02-03

    Development of software and methods for design of complete sequences of functional proteins could contribute to studies of protein engineering and protein evolution. To this end, we developed the INTMSAlign software, and used it to design functional proteins and evaluate their usefulness. The software could assign both consensus and correlation residues of target proteins. We generated three protein sequences with S-selective hydroxynitrile lyase (S-HNL) activity, which we call designed S-HNLs; these proteins folded as efficiently as the native S-HNL. Sequence and biochemical analysis of the designed S-HNLs suggested that accumulation of neutral mutations occurs during the process of S-HNLs evolution from a low-activity form to a high-activity (native) form. Taken together, our results demonstrate that our software and the associated methods could be applied not only to design of complete sequences, but also to predictions of protein evolution, especially within families such as esterases and S-HNLs.

  12. Protein evolution analysis of S-hydroxynitrile lyase by complete sequence design utilizing the INTMSAlign software

    PubMed Central

    Nakano, Shogo; Asano, Yasuhisa

    2015-01-01

    Development of software and methods for design of complete sequences of functional proteins could contribute to studies of protein engineering and protein evolution. To this end, we developed the INTMSAlign software, and used it to design functional proteins and evaluate their usefulness. The software could assign both consensus and correlation residues of target proteins. We generated three protein sequences with S-selective hydroxynitrile lyase (S-HNL) activity, which we call designed S-HNLs; these proteins folded as efficiently as the native S-HNL. Sequence and biochemical analysis of the designed S-HNLs suggested that accumulation of neutral mutations occurs during the process of S-HNLs evolution from a low-activity form to a high-activity (native) form. Taken together, our results demonstrate that our software and the associated methods could be applied not only to design of complete sequences, but also to predictions of protein evolution, especially within families such as esterases and S-HNLs. PMID:25645341

  13. Sequencing and annotated analysis of an Estonian human genome.

    PubMed

    Lilleoja, Rutt; Sarapik, Aili; Reimann, Ene; Reemann, Paula; Jaakma, Ülle; Vasar, Eero; Kõks, Sulev

    2012-02-01

    In present study we describe the sequencing and annotated analysis of the individual genome of Estonian. Using SOLID technology we generated 2,449,441,916 of 50-bp reads. The Bioscope version 1.3 was used for mapping and pairing of reads to the NCBI human genome reference (build 36, hg18). Bioscope enables also the annotation of the results of variant (tertiary) analysis. The average mapping of reads was 75.5% with total coverage of 107.72 Gb. resulting in mean fold coverage of 34.6. We found 3,482,975 SNPs out of which 352,492 were novel. 21,222 SNPs were in coding region: 10,649 were synonymous SNPs, 10,360 were nonsynonymous missense SNPs, 155 were nonsynonymous nonsense SNPs and 58 were nonsynonymous frameshifts. We identified 219 CNVs with total base pair coverage of 37,326,300 bp and 87,451 large insertion/deletion polymorphisms covering 10,152,256 bp of the genome. In addition, we found 285,864 small size insertion/deletion polymorphisms out of which 133,969 were novel. Finally, we identified 53 inversions, 19 overlapped genes and 2 overlapped exons. Interestingly, we found the region in chromosome 6 to be enriched with the coding SNPs and CNVs. This study confirms previous findings, that our genomes are more complex and variable as thought before. Therefore, sequencing of the personal genomes followed by annotation would improve the analysis of heritability of phenotypes and our understandings on the functions of genome.

  14. Fine mapping of genome activation in bovine embryos by RNA sequencing

    PubMed Central

    Graf, Alexander; Krebs, Stefan; Zakhartchenko, Valeri; Schwalb, Björn; Blum, Helmut; Wolf, Eckhard

    2014-01-01

    During maternal-to-embryonic transition control of embryonic development gradually switches from maternal RNAs and proteins stored in the oocyte to gene products generated after embryonic genome activation (EGA). Detailed insight into the onset of embryonic transcription is obscured by the presence of maternal transcripts. Using the bovine model system, we established by RNA sequencing a comprehensive catalogue of transcripts in germinal vesicle and metaphase II oocytes, and in embryos at the four-cell, eight-cell, 16-cell, and blastocyst stages. These were produced by in vitro fertilization of Bos taurus taurus oocytes with sperm from a Bos taurus indicus bull to facilitate parent-specific transcriptome analysis. Transcripts from 12.4 to 13.7 × 103 different genes were detected in the various developmental stages. EGA was analyzed by (i) detection of embryonic transcripts, which are not present in oocytes; (ii) detection of transcripts from the paternal allele; and (iii) detection of primary transcripts with intronic sequences. These strategies revealed (i) 220, (ii) 937, and (iii) 6,848 genes to be activated from the four-cell to the blastocyst stage. The largest proportion of gene activation [i.e., (i) 59%, (ii) 42%, and (iii) 58%] was found in eight-cell embryos, indicating major EGA at this stage. Gene ontology analysis of genes activated at the four-cell stage identified categories related to RNA processing, translation, and transport, consistent with preparation for major EGA. Our study provides the largest transcriptome data set of bovine oocyte maturation and early embryonic development and detailed insight into the timing of embryonic activation of specific genes. PMID:24591639

  15. Radar image sequence analysis of inhomogeneous water surfaces

    NASA Astrophysics Data System (ADS)

    Seemann, Joerg; Senet, Christian M.; Dankert, Heiko; Hatten, Helge; Ziemer, Friedwart

    1999-10-01

    The radar backscatter from the ocean surface, called sea clutter, is modulated by the surface wave field. A method was developed to estimate the near-surface current, the water depth and calibrated surface wave spectra from nautical radar image sequences. The algorithm is based on the three- dimensional Fast Fourier Transformation (FFT) of the spatio- temporal sea clutter pattern in the wavenumber-frequency domain. The dispersion relation is used to define a filter to separate the spectral signal of the imaged waves from the background noise component caused by speckle noise. The signal-to-noise ratio (SNR) contains information about the significant wave height. The method has been proved to be reliable for the analysis of homogeneous water surfaces in offshore installations. Radar images are inhomogeneous because of the dependency of the image transfer function (ITF) on the azimuth angle between the wave propagation and the antenna viewing direction. The inhomogeneity of radar imaging is analyzed using image sequences of a homogeneous deep-water surface sampled by a ship-borne radar. Changing water depths in shallow-water regions induce horizontal gradients of the tidal current. Wave refraction occurs due to the spatial variability of the current and water depth. These areas cannot be investigated with the standard method. A new method, based on local wavenumber estimation with the multiple-signal classification (MUSIC) algorithm, is outlined. The MUSIC algorithm provides superior wavenumber resolution on local spatial scales. First results, retrieved from a radar image sequence taken from an installation at a coastal site, are presented.

  16. Efficient DNA fingerprinting based on the targeted sequencing of active retrotransposon insertion sites using a bench-top high-throughput sequencing platform.

    PubMed

    Monden, Yuki; Yamamoto, Ayaka; Shindo, Akiko; Tahara, Makoto

    2014-10-01

    In many crop species, DNA fingerprinting is required for the precise identification of cultivars to protect the rights of breeders. Many families of retrotransposons have multiple copies throughout the eukaryotic genome and their integrated copies are inherited genetically. Thus, their insertion polymorphisms among cultivars are useful for DNA fingerprinting. In this study, we conducted a DNA fingerprinting based on the insertion polymorphisms of active retrotransposon families (Rtsp-1 and LIb) in sweet potato. Using 38 cultivars, we identified 2,024 insertion sites in the two families with an Illumina MiSeq sequencing platform. Of these insertion sites, 91.4% appeared to be polymorphic among the cultivars and 376 cultivar-specific insertion sites were identified, which were converted directly into cultivar-specific sequence-characterized amplified region (SCAR) markers. A phylogenetic tree was constructed using these insertion sites, which corresponded well with known pedigree information, thereby indicating their suitability for genetic diversity studies. Thus, the genome-wide comparative analysis of active retrotransposon insertion sites using the bench-top MiSeq sequencing platform is highly effective for DNA fingerprinting without any requirement for whole genome sequence information. This approach may facilitate the development of practical polymerase chain reaction-based cultivar diagnostic system and could also be applied to the determination of genetic relationships.

  17. ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains

    PubMed Central

    Canova, Carlos; Denker, Michael; Gerstein, George; Helias, Moritz

    2016-01-01

    With the ability to observe the activity from large numbers of neurons simultaneously using modern recording technologies, the chance to identify sub-networks involved in coordinated processing increases. Sequences of synchronous spike events (SSEs) constitute one type of such coordinated spiking that propagates activity in a temporally precise manner. The synfire chain was proposed as one potential model for such network processing. Previous work introduced a method for visualization of SSEs in massively parallel spike trains, based on an intersection matrix that contains in each entry the degree of overlap of active neurons in two corresponding time bins. Repeated SSEs are reflected in the matrix as diagonal structures of high overlap values. The method as such, however, leaves the task of identifying these diagonal structures to visual inspection rather than to a quantitative analysis. Here we present ASSET (Analysis of Sequences of Synchronous EvenTs), an improved, fully automated method which determines diagonal structures in the intersection matrix by a robust mathematical procedure. The method consists of a sequence of steps that i) assess which entries in the matrix potentially belong to a diagonal structure, ii) cluster these entries into individual diagonal structures and iii) determine the neurons composing the associated SSEs. We employ parallel point processes generated by stochastic simulations as test data to demonstrate the performance of the method under a wide range of realistic scenarios, including different types of non-stationarity of the spiking activity and different correlation structures. Finally, the ability of the method to discover SSEs is demonstrated on complex data from large network simulations with embedded synfire chains. Thus, ASSET represents an effective and efficient tool to analyze massively parallel spike data for temporal sequences of synchronous activity. PMID:27420734

  18. ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains.

    PubMed

    Torre, Emiliano; Canova, Carlos; Denker, Michael; Gerstein, George; Helias, Moritz; Grün, Sonja

    2016-07-01

    With the ability to observe the activity from large numbers of neurons simultaneously using modern recording technologies, the chance to identify sub-networks involved in coordinated processing increases. Sequences of synchronous spike events (SSEs) constitute one type of such coordinated spiking that propagates activity in a temporally precise manner. The synfire chain was proposed as one potential model for such network processing. Previous work introduced a method for visualization of SSEs in massively parallel spike trains, based on an intersection matrix that contains in each entry the degree of overlap of active neurons in two corresponding time bins. Repeated SSEs are reflected in the matrix as diagonal structures of high overlap values. The method as such, however, leaves the task of identifying these diagonal structures to visual inspection rather than to a quantitative analysis. Here we present ASSET (Analysis of Sequences of Synchronous EvenTs), an improved, fully automated method which determines diagonal structures in the intersection matrix by a robust mathematical procedure. The method consists of a sequence of steps that i) assess which entries in the matrix potentially belong to a diagonal structure, ii) cluster these entries into individual diagonal structures and iii) determine the neurons composing the associated SSEs. We employ parallel point processes generated by stochastic simulations as test data to demonstrate the performance of the method under a wide range of realistic scenarios, including different types of non-stationarity of the spiking activity and different correlation structures. Finally, the ability of the method to discover SSEs is demonstrated on complex data from large network simulations with embedded synfire chains. Thus, ASSET represents an effective and efficient tool to analyze massively parallel spike data for temporal sequences of synchronous activity. PMID:27420734

  19. Whale song analyses using bioinformatics sequence analysis approaches

    NASA Astrophysics Data System (ADS)

    Chen, Yian A.; Almeida, Jonas S.; Chou, Lien-Siang

    2005-04-01

    Animal songs are frequently analyzed using discrete hierarchical units, such as units, themes and songs. Because animal songs and bio-sequences may be understood as analogous, bioinformatics analysis tools DNA/protein sequence alignment and alignment-free methods are proposed to quantify the theme similarities of the songs of false killer whales recorded off northeast Taiwan. The eighteen themes with discrete units that were identified in an earlier study [Y. A. Chen, masters thesis, University of Charleston, 2001] were compared quantitatively using several distance metrics. These metrics included the scores calculated using the Smith-Waterman algorithm with the repeated procedure; the standardized Euclidian distance and the angle metrics based on word frequencies. The theme classifications based on different metrics were summarized and compared in dendrograms using cluster analyses. The results agree with earlier classifications derived by human observation qualitatively. These methods further quantify the similarities among themes. These methods could be applied to the analyses of other animal songs on a larger scale. For instance, these techniques could be used to investigate song evolution and cultural transmission quantifying the dissimilarities of humpback whale songs across different seasons, years, populations, and geographic regions. [Work supported by SC Sea Grant, and Ilan County Government, Taiwan.

  20. Complete nucleotide sequence and transcriptional analysis of snakehead fish retrovirus.

    PubMed Central

    Hart, D; Frerichs, G N; Rambaut, A; Onions, D E

    1996-01-01

    The complete genome of the snakehead fish retrovirus has been cloned and sequenced, and its transcriptional profile in cell culture has been determined. The 11.2-kb provirus displays a complex expression pattern capable of encoding accessory proteins and is unique in the predicted location of the env initiation codon and signal peptide upstream of gag and the common splice donor site. The virus is distinguishable from all known retrovirus groups by the presence of an arginine tRNA primer binding site. The coding regions are highly divergent and show a number of unusual characteristics, including a large Gag coiled-coil region, a Pol domain of unknown function, and a long, lentiviral-like, Env cytoplasmic domain. Phylogenetic analysis of the Pol sequence emphasizes the divergent nature of the virus from the avian and mammalian retroviruses. The snakehead virus is also distinct from a previously characterized complex fish retrovirus, suggesting that discrete groups of these viruses have yet to be identified in the lower vertebrates. PMID:8648695

  1. Cloning and Sequence Analysis of Two Pseudomonas Flavoprotein Xenobiotic Reductases

    PubMed Central

    Blehert, David S.; Fox, Brian G.; Chambliss, Glenn H.

    1999-01-01

    The genes encoding flavin mononucleotide-containing oxidoreductases, designated xenobiotic reductases, from Pseudomonas putida II-B and P. fluorescens I-C that removed nitrite from nitroglycerin (NG) by cleavage of the nitroester bond were cloned, sequenced, and characterized. The P. putida gene, xenA, encodes a 39,702-Da monomeric, NAD(P)H-dependent flavoprotein that removes either the terminal or central nitro groups from NG and that reduces 2-cyclohexen-1-one but did not readily reduce 2,4,6-trinitrotoluene (TNT). The P. fluorescens gene, xenB, encodes a 37,441-Da monomeric, NAD(P)H-dependent flavoprotein that exhibits fivefold regioselectivity for removal of the central nitro group from NG and that transforms TNT but did not readily react with 2-cyclohexen-1-one. Heterologous expression of xenA and xenB was demonstrated in Escherichia coli DH5α. The transcription initiation sites of both xenA and xenB were identified by primer extension analysis. BLAST analyses conducted with the P. putida xenA and the P. fluorescens xenB sequences demonstrated that these genes are similar to several other bacterial genes that encode broad-specificity flavoprotein reductases. The prokaryotic flavoprotein reductases described herein likely shared a common ancestor with old yellow enzyme of yeast, a broad-specificity enzyme which may serve a detoxification role in antioxidant defense systems. PMID:10515912

  2. Complete nucleotide sequence and transcriptional analysis of snakehead fish retrovirus.

    PubMed

    Hart, D; Frerichs, G N; Rambaut, A; Onions, D E

    1996-06-01

    The complete genome of the snakehead fish retrovirus has been cloned and sequenced, and its transcriptional profile in cell culture has been determined. The 11.2-kb provirus displays a complex expression pattern capable of encoding accessory proteins and is unique in the predicted location of the env initiation codon and signal peptide upstream of gag and the common splice donor site. The virus is distinguishable from all known retrovirus groups by the presence of an arginine tRNA primer binding site. The coding regions are highly divergent and show a number of unusual characteristics, including a large Gag coiled-coil region, a Pol domain of unknown function, and a long, lentiviral-like, Env cytoplasmic domain. Phylogenetic analysis of the Pol sequence emphasizes the divergent nature of the virus from the avian and mammalian retroviruses. The snakehead virus is also distinct from a previously characterized complex fish retrovirus, suggesting that discrete groups of these viruses have yet to be identified in the lower vertebrates.

  3. Harmonic Analysis of Sedimentary Cyclic Sequences in Kansas, Midcontinent, USA

    USGS Publications Warehouse

    Merriam, D.F.; Robinson, J.E.

    1997-01-01

    Several stratigraphic sequences in the Upper Carboniferous (Pennsylvanian) in Kansas (Midcontinent, USA) were analyzed quantitatively for periodic repetitions. The sequences were coded by lithologic type into strings of datasets. The strings then were analyzed by an adaptation of a one-dimensional Fourier transform analysis and examined for evidence of periodicity. The method was tested using different states in coding to determine the robustness of the method and data. The most persistent response is in multiples of 8-10 ft (2.5-3.0 m) and probably is dependent on the depositional thickness of the original lithologic units. Other cyclicities occurred in multiples of the basic frequency of 8-10 with persistent ones at 22 and 30 feet (6.5-9.0 m) and large ones at 80 and 160 feet (25-50 m). These levels of thickness relate well to the basic cyclothem and megacyclothem as measured on outcrop. We propose that this approach is a suitable one for analyzing cyclic events in the stratigraphic record.

  4. Accident sequence analysis for sites producing and storing explosives.

    PubMed

    Papazoglou, Ioannis A; Aneziris, Olga; Konstandinidou, Myrto; Giakoumatos, Ieronymos

    2009-11-01

    This paper presents a QRA-based approach for assessing and evaluating the safety of installations handling explosive substances. Comprehensive generic lists of immediate causes and initiating events of detonation and deflagration of explosive substances as well as safety measures preventing these explosions are developed. Initiating events and corresponding measures are grouped under the more general categories of explosion due to shock wave, explosion due to mechanical energy, thermal energy, electrical energy, chemical energy, and electromagnetic radiation. Generic accident sequences are developed using Event Trees. This analysis is adapted to plant-specific conditions and potentially additional protective measures are rank-ordered in terms of the induced reduction in the frequency of explosion, by including also uncertainty. This approach has been applied to 14 plants in Greece with very satisfactory results. PMID:19819362

  5. Accident sequence analysis for sites producing and storing explosives.

    PubMed

    Papazoglou, Ioannis A; Aneziris, Olga; Konstandinidou, Myrto; Giakoumatos, Ieronymos

    2009-11-01

    This paper presents a QRA-based approach for assessing and evaluating the safety of installations handling explosive substances. Comprehensive generic lists of immediate causes and initiating events of detonation and deflagration of explosive substances as well as safety measures preventing these explosions are developed. Initiating events and corresponding measures are grouped under the more general categories of explosion due to shock wave, explosion due to mechanical energy, thermal energy, electrical energy, chemical energy, and electromagnetic radiation. Generic accident sequences are developed using Event Trees. This analysis is adapted to plant-specific conditions and potentially additional protective measures are rank-ordered in terms of the induced reduction in the frequency of explosion, by including also uncertainty. This approach has been applied to 14 plants in Greece with very satisfactory results.

  6. Sequence and comparative analysis of Leuconostoc dairy bacteriophages.

    PubMed

    Kot, Witold; Hansen, Lars H; Neve, Horst; Hammer, Karin; Jacobsen, Susanne; Pedersen, Per D; Sørensen, Søren J; Heller, Knut J; Vogensen, Finn K

    2014-04-17

    Bacteriophages attacking Leuconostoc species may significantly influence the quality of the final product. There is however limited knowledge of this group of phages in the literature. We have determined the complete genome sequences of nine Leuconostoc bacteriophages virulent to either Leuconostoc mesenteroides or Leuconostoc pseudomesenteroides strains. The phages have dsDNA genomes with sizes ranging from 25.7 to 28.4 kb. Comparative genomics analysis helped classify the 9 phages into two classes, which correlates with the host species. High percentage of similarity within the classes on both nucleotide and protein levels was observed. Genome comparison also revealed very high conservation of the overall genomic organization between the classes. The genes were organized in functional modules responsible for replication, packaging, head and tail morphogenesis, cell lysis and regulation and modification, respectively. No lysogeny modules were detected. To our knowledge this report provides the first comparative genomic work done on Leuconostoc dairy phages.

  7. Sequence analysis of the Lactobacillus temperate phage Sha1.

    PubMed

    Yoon, Bo Hyun; Jang, Se Hwan; Chang, Hyo-Ihl

    2011-09-01

    Bacteriophage Sha1, a newly isolated temperate phage from a mitomycin-C-induced lysate of Lactobacillus plantarum isolated from Kimchi, has an isometric head (58 nm × 60 nm) and a long tail (259 nm × 11 nm). The double-strand DNA genome of the phage Sha1 was 41,726 base pairs (bp) long, with a G+C content of 40.61%. Bioinformatic analysis of Sha1 shows that this phage contains 58 putative open reading frames (ORFs). Sha1 can be classified as a member of the large family Siphoviridae by genomic structure and morphology. To our knowledge, this is the first report of genomic sequencing and characterization of temperate phage Sha1 from wild-type L. plantarum isolated from kimchi in Korea. PMID:21701917

  8. Dynamic reorganization of neural activity in motor cortex during new sequence production.

    PubMed

    Lu, Xiaofeng; Ashe, James

    2015-09-01

    Although previous studies have shown that primary motor cortex (M1) neurons are modulated during the performance of a sequence of movements, it is not known how this neural activity in the M1 reorganizes during new learning of sequence-dependent motor skills. Here we trained monkeys to move to each of four spatial targets to produce multiple distinct sequences of movements in which the spatial organization of the targets determined uniquely the serial order of the movements. After the monkeys memorized the sequences, we changed one element of these over-practised sequences and the subjects were required to learn the new sequence through trial and error. When one element in an over-learned four-element sequence was changed, the sequence-specific neural activity was totally disrupted, but relatively minor changes in the direction-specific activity were observed. The data suggest that sequential motor skills are represented within M1 in the context of the complete sequential behavior rather than as a series of single consecutive movements; and sequence-specific neurons in the M1 are involved in new learning of sequence by using memorized knowledge to acquire complex motor skill efficiently.

  9. Dynamic reorganization of neural activity in motor cortex during new sequence production.

    PubMed

    Lu, Xiaofeng; Ashe, James

    2015-09-01

    Although previous studies have shown that primary motor cortex (M1) neurons are modulated during the performance of a sequence of movements, it is not known how this neural activity in the M1 reorganizes during new learning of sequence-dependent motor skills. Here we trained monkeys to move to each of four spatial targets to produce multiple distinct sequences of movements in which the spatial organization of the targets determined uniquely the serial order of the movements. After the monkeys memorized the sequences, we changed one element of these over-practised sequences and the subjects were required to learn the new sequence through trial and error. When one element in an over-learned four-element sequence was changed, the sequence-specific neural activity was totally disrupted, but relatively minor changes in the direction-specific activity were observed. The data suggest that sequential motor skills are represented within M1 in the context of the complete sequential behavior rather than as a series of single consecutive movements; and sequence-specific neurons in the M1 are involved in new learning of sequence by using memorized knowledge to acquire complex motor skill efficiently. PMID:26202600

  10. Sequencing and comparative genomic analysis of 1227 Felis catus cDNA sequences enriched for developmental, clinical and nutritional phenotypes

    PubMed Central

    2012-01-01

    Background The feline genome is valuable to the veterinary and model organism genomics communities because the cat is an obligate carnivore and a model for endangered felids. The initial public release of the Felis catus genome assembly provided a framework for investigating the genomic basis of feline biology. However, the entire set of protein coding genes has not been elucidated. Results We identified and characterized 1227 protein coding feline sequences, of which 913 map to public sequences and 314 are novel. These sequences have been deposited into NCBI's genbank database and complement public genomic resources by providing additional protein coding sequences that fill in some of the gaps in the feline genome assembly. Through functional and comparative genomic analyses, we gained an understanding of the role of these sequences in feline development, nutrition and health. Specifically, we identified 104 orthologs of human genes associated with Mendelian disorders. We detected negative selection within sequences with gene ontology annotations associated with intracellular trafficking, cytoskeleton and muscle functions. We detected relatively less negative selection on protein sequences encoding extracellular networks, apoptotic pathways and mitochondrial gene ontology annotations. Additionally, we characterized feline cDNA sequences that have mouse orthologs associated with clinical, nutritional and developmental phenotypes. Together, this analysis provides an overview of the value of our cDNA sequences and enhances our understanding of how the feline genome is similar to, and different from other mammalian genomes. Conclusions The cDNA sequences reported here expand existing feline genomic resources by providing high-quality sequences annotated with comparative genomic information providing functional, clinical, nutritional and orthologous gene information. PMID:22257742

  11. Human factors review for Severe Accident Sequence Analysis (SASA)

    SciTech Connect

    Krois, P.A.; Haas, P.M.; Manning, J.J.; Bovell, C.R.

    1984-01-01

    The paper will discuss work being conducted during this human factors review including: (1) support of the Severe Accident Sequence Analysis (SASA) Program based on an assessment of operator actions, and (2) development of a descriptive model of operator severe accident management. Research by SASA analysts on the Browns Ferry Unit One (BF1) anticipated transient without scram (ATWS) was supported through a concurrent assessment of operator performance to demonstrate contributions to SASA analyses from human factors data and methods. A descriptive model was developed called the Function Oriented Accident Management (FOAM) model, which serves as a structure for bridging human factors, operations, and engineering expertise and which is useful for identifying needs/deficiencies in the area of accident management. The assessment of human factors issues related to ATWS required extensive coordination with SASA analysts. The analysis was consolidated primarily to six operator actions identified in the Emergency Procedure Guidelines (EPGs) as being the most critical to the accident sequence. These actions were assessed through simulator exercises, qualitative reviews, and quantitative human reliability analyses. The FOAM descriptive model assumes as a starting point that multiple operator/system failures exceed the scope of procedures and necessitates a knowledge-based emergency response by the operators. The FOAM model provides a functionally-oriented structure for assembling human factors, operations, and engineering data and expertise into operator guidance for unconventional emergency responses to mitigate severe accident progression and avoid/minimize core degradation. Operators must also respond to potential radiological release beyond plant protective barriers. Research needs in accident management and potential uses of the FOAM model are described. 11 references, 1 figure.

  12. Impact of next-generation sequencing error on analysis of barcoded plasmid libraries of known complexity and sequence

    PubMed Central

    Deakin, Claire T.; Deakin, Jeffrey J.; Ginn, Samantha L.; Young, Paul; Humphreys, David; Suter, Catherine M.; Alexander, Ian E.; Hallwirth, Claus V.

    2014-01-01

    Barcoded vectors are promising tools for investigating clonal diversity and dynamics in hematopoietic gene therapy. Analysis of clones marked with barcoded vectors requires accurate identification of potentially large numbers of individually rare barcodes, when the exact number, sequence identity and abundance are unknown. This is an inherently challenging application, and the feasibility of using contemporary next-generation sequencing technologies is unresolved. To explore this potential application empirically, without prior assumptions, we sequenced barcode libraries of known complexity. Libraries containing 1, 10 and 100 Sanger-sequenced barcodes were sequenced using an Illumina platform, with a 100-barcode library also sequenced using a SOLiD platform. Libraries containing 1 and 10 barcodes were distinguished from false barcodes generated by sequencing error by a several log-fold difference in abundance. In 100-barcode libraries, however, expected and false barcodes overlapped and could not be resolved by bioinformatic filtering and clustering strategies. In independent sequencing runs multiple false-positive barcodes appeared to be represented at higher abundance than known barcodes, despite their confirmed absence from the original library. Such errors, which potentially impact barcoding studies in an application-dependent manner, are consistent with the existence of both stochastic and systematic error, the mechanism of which is yet to be fully resolved. PMID:25013183

  13. Accident Sequence Evaluation Program: Human reliability analysis procedure

    SciTech Connect

    Swain, A.D.

    1987-02-01

    This document presents a shortened version of the procedure, models, and data for human reliability analysis (HRA) which are presented in the Handbook of Human Reliability Analysis With emphasis on Nuclear Power Plant Applications (NUREG/CR-1278, August 1983). This shortened version was prepared and tried out as part of the Accident Sequence Evaluation Program (ASEP) funded by the US Nuclear Regulatory Commission and managed by Sandia National Laboratories. The intent of this new HRA procedure, called the ''ASEP HRA Procedure,'' is to enable systems analysts, with minimal support from experts in human reliability analysis, to make estimates of human error probabilities and other human performance characteristics which are sufficiently accurate for many probabilistic risk assessments. The ASEP HRA Procedure consists of a Pre-Accident Screening HRA, a Pre-Accident Nominal HRA, a Post-Accident Screening HRA, and a Post-Accident Nominal HRA. The procedure in this document includes changes made after tryout and evaluation of the procedure in four nuclear power plants by four different systems analysts and related personnel, including human reliability specialists. The changes consist of some additional explanatory material (including examples), and more detailed definitions of some of the terms. 42 refs.

  14. Linking experimental results, biological networks and sequence analysis methods using Ontologies and Generalised Data Structures.

    PubMed

    Koehler, Jacob; Rawlings, Chris; Verrier, Paul; Mitchell, Rowan; Skusa, Andre; Ruegg, Alexander; Philippi, Stephan

    2005-01-01

    The structure of a closely integrated data warehouse is described that is designed to link different types and varying numbers of biological networks, sequence analysis methods and experimental results such as those coming from microarrays. The data schema is inspired by a combination of graph based methods and generalised data structures and makes use of ontologies and meta-data. The core idea is to consider and store biological networks as graphs, and to use generalised data structures (GDS) for the storage of further relevant information. This is possible because many biological networks can be stored as graphs: protein interactions, signal transduction networks, metabolic pathways, gene regulatory networks etc. Nodes in biological graphs represent entities such as promoters, proteins, genes and transcripts whereas the edges of such graphs specify how the nodes are related. The semantics of the nodes and edges are defined using ontologies of node and relation types. Besides generic attributes that most biological entities possess (name, attribute description), further information is stored using generalised data structures. By directly linking to underlying sequences (exons, introns, promoters, amino acid sequences) in a systematic way, close interoperability to sequence analysis methods can be achieved. This approach allows us to store, query and update a wide variety of biological information in a way that is semantically compact without requiring changes at the database schema level when new kinds of biological information is added. We describe how this datawarehouse is being implemented by extending the text-mining framework ONDEX to link, support and complement different bioinformatics applications and research activities such as microarray analysis, sequence analysis and modelling/simulation of biological systems. The system is developed under the GPL license and can be downloaded from http://sourceforge.net/projects/ondex/

  15. [Sequencing and analysis of the complete genome sequence of WU polyomavirus in Fuzhou, China].

    PubMed

    Xiu, Wen-qiong; Shen, Xiao-na; Liu, Guang-hua; Xie, Jian-feng; Kang, Yu-lan; Wang, Mei-ai; Zhang, Wen-qing; Weng, Qi-zhu; Yan, Yan-sheng

    2011-03-01

    WU polyomavirus (WUPyV), a new member of the genus Polyomavirus in the family Polyomaviridae, is recently found in patients with respiratory tract infections. In our study, the complete genome of the two WUPyV isolates (FZ18, FZTF) were sequenced and deposited in GenBank (accession nos. FJ890981, FJ890982). The two sequences of the WUPyV isolates in this study varied little from each other. Compared with other complete genome sequences of WUPyV in GenBank (strain B0, S1-S4, CLFF, accession nos. EF444549, EF444550, EF444551, EF444552, EF444553, EU296475 respectively), the sequence length in nucleotides is 5228bp, 1bp shorter than the known sequences. The deleted base pair was at nucleotide position 4536 in the non-coding region of large T antigen (LTAg). The genome of the WUPyV encoded for five proteins. They were three capsid proteins: VP2, VP1, VP3 and LTAg, small T antigen (STAg), respectively. To investigate whether these nucleotide sequences had any unique features, we compared the genome sequence of the 2 WUPyV isolates in Fuzhou, China to those documented in the GenBank database by using PHYLIP software version 3.65 and the neighbor-joining method. The 2 WUPyV strains in our study were clustered together. Strain FZTF was more closed to the reference strain B0 of Australian than strain FZ18. PMID:21528542

  16. Activation analysis using Cornell TRIGA

    SciTech Connect

    Hossain, Tim Z.

    1994-07-01

    A major use of the Cornell TRIGA is for activation analysis. Over the years many varieties of samples have been analyzed from a number of fields of interest ranging from geology, archaeology and textiles. More recently the analysis has been extended to high technology materials for applications in optical and semiconductor devices. Trace analysis in high purity materials like Si wafers has been the focus in many instances, while in others analysis of major/minor components were the goals. These analysis has been done using the delayed mode. Results from recent measurements in semiconductors and other materials will be presented. In addition the near future capability of using prompt gamma activation analysis using the Cornell cold neutron beam will be discussed. (author)

  17. Increasing the Scale of Deep Sequencing Data Analysis with BioHDF

    SciTech Connect

    Smith, Todd

    2010-06-03

    Todd Smith of Geospiza discusses how BioHDF systems can be used with next generation DNA sequencing technologies on June 3, 2010 at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM

  18. Standardizing Activation Analysis: New Software for Photon Activation Analysis

    SciTech Connect

    Sun, Z. J.; Wells, D.; Green, J.; Segebade, C.

    2011-06-01

    Photon Activation Analysis (PAA) of environmental, archaeological and industrial samples requires extensive data analysis that is susceptible to error. For the purpose of saving time, manpower and minimizing error, a computer program was designed, built and implemented using SQL, Access 2007 and asp.net technology to automate this process. Based on the peak information of the spectrum and assisted by its PAA library, the program automatically identifies elements in the samples and calculates their concentrations and respective uncertainties. The software also could be operated in browser/server mode, which gives the possibility to use it anywhere the internet is accessible. By switching the nuclide library and the related formula behind, the new software can be easily expanded to neutron activation analysis (NAA), charged particle activation analysis (CPAA) or proton-induced X-ray emission (PIXE). Implementation of this would standardize the analysis of nuclear activation data. Results from this software were compared to standard PAA analysis with excellent agreement. With minimum input from the user, the software has proven to be fast, user-friendly and reliable.

  19. A functional analysis of ACP-20, an adult-specific cuticular protein gene from the beetle Tenebrio: role of an intronic sequence in transcriptional activation during the late metamorphic period.

    PubMed

    Lemoine, A; Mathelin, J; Braquart-Varnier, C; Everaerts, C; Delachambre, J

    2004-10-01

    A gene encoding the adult cuticular protein ACP-20 was isolated in Tenebrio. It consists of three exons interspersed by two introns, intron 1 interrupting the signal peptide. To understand the regulatory mechanisms of ACP-20 expression, ACP-20 promoter-luciferase reporter gene constructs were transfected into cultured pharate adult wing epidermis. Transfection assays needed the presence of 20-hydroxyecdysone, confirming that ACP-20 is up-regulated by ecdysteroids. Analysis of 5' deletion constructs revealed that three regions are necessary for high levels of transcription. Interaction experiments between intronic fragments and epidermal nuclear proteins confirmed the importance of intron 1 in ACP-20 transcriptional control, which results from the combined activity of regulatory cis-acting elements of the promoter and those of intron 1.

  20. Automated carboxy-terminal sequence analysis of peptides and proteins using diphenyl phosphoroisothiocyanatidate.

    PubMed Central

    Bailey, J. M.; Nikfarjam, F.; Shenoy, N. R.; Shively, J. E.

    1992-01-01

    Proteins and peptides can be sequenced from the carboxy-terminus with isothiocyanate reagents to produce amino acid thiohydantoin derivatives. Previous studies in our laboratory have focused on the automation of the thiocyanate chemistry using acetic anhydride and trimethylsilylisothiocyanate (TMS-ITC) to derivatize the C-terminal amino acid to a thiohydantoin and sodium trimethylsilanolate for specific hydrolysis of the derivatized C-terminal amino acid (Bailey, J.M., Shenoy, N.R., Ronk, M., & Shively, J.E., 1992, Protein Sci. 1, 68-80). A major limitation of this approach was the need to activate the C-terminus with acetic anhydride. We now describe the use of a new reagent, diphenyl phosphoroisothiocyanatidate (DPP-ITC) and pyridine, which combines the activation and derivatization steps to produce peptidylthiohydantoins. Previous work by Kenner et al. (Kenner, G.W., Khorana, H.G., & Stedman, R.J., 1953, Chem. Soc. J., 673-678) with this reagent demonstrated slow kinetics. Several days were required for complete reaction. We show here that the inclusion of pyridine was found to promote the formation of C-terminal thiohydantoins by DPP-ITC resulting in complete conversion of the C-terminal amino acid to a thiohydantoin in less than 1 h. Reagents such as imidazole, triazine, and tetrazole were also found to promote the reaction with DPP-ITC as effectively as pyridine. General base catalysts, such as triethylamine, do not promote the reaction, but are required to convert the C-terminal carboxylic acid to a salt prior to the reaction with DPP-ITC and pyridine. By introducing the DPP-ITC reagent and pyridine in separate steps in an automated sequencer, we observed improved sequencing yields for amino acids normally found difficult to derivatize with acetic anhydride/TMS-ITC. This was particularly true for aspartic acid, which now can be sequenced in yields comparable to most of the other amino acids. Automated programs are described for the C-terminal sequencing of

  1. Analysis of separate isolates of Bordetella pertussis repeated DNA sequences.

    PubMed

    McPheat, W L; Hanson, J H; Livey, I; Robertson, J S

    1989-06-01

    Two independent isolates of a Bordetella pertussis repeated DNA unit were sequenced and shown to be an insertion sequence element with five nucleotide differences between the two copies. The sequences were 1053 bp in length with near-perfect terminal inverted repeats of 28 bp, had three open reading frames, and were each flanked by short direct repeats. The two insertion sequences showed considerable homology to two other B. pertussis repeated DNA sequences reported recently: IS481 and a 530 bp repeated DNA unit. The B. pertussis insertion sequence would appear to comprise a group of closely related sequences differing mainly in flanking direct repeats and the terminal inverted repeats. The two isolates reported here, which were from the adenylate cyclase and agglutinogen 2 regions of the genome, were numbered IS48lvl and IS48lv2 respectively. PMID:2559151

  2. Data Analysis for Sequencing by Hybridization (SBH) Experiments

    1995-11-28

    SCORES is user friendly software designed to analyze data from SBH (Sequencing By Hybridization) experiments. In these ANL experiments DNA samples are spotted on a nylon membrane and hybridized with radioactivity labeled oligonucleotide probes. An image analysis program (DOTS) calculates a raw value for each DNA dot from images generated by the Molecular Dynamics Phosphorimager. SCORES reads in the DOTS output for each hybridization done for a particular filter. The data for each probe ismore » normalized against a mass probe and scaled properly. These values from 100 or more probes are then used to compute the distance (i.e., degree of similarity) between any two clones on the filter. These calculated distances define clusters of similar clones (cDNA)or contigs (genomic DNA). Histograms of the data at each stage of analysis to establish thresholds for further steps. SCORES generates various statistical tables to evaluate the quality of spotting, hybridization of filters, and of individual dots.« less

  3. Transcriptome Sequencing and Positive Selected Genes Analysis of Bombyx mandarina

    PubMed Central

    Wu, Yuqian; Long, Renwen; Liu, Chun; Xia, Qingyou

    2015-01-01

    The wild silkworm Bombyx mandarina is widely believed to be an ancestor of the domesticated silkworm, Bombyx mori. Silkworms are often used as a model for studying the mechanism of species domestication. Here, we performed transcriptome sequencing of the wild silkworm using an Illumina HiSeq2000 platform. We produced 100,004,078 high-quality reads and assembled them into 50,773 contigs with an N50 length of 1764 bp and a mean length of 941.62 bp. A total of 33,759 unigenes were identified, with 12,805 annotated in the Nr database, 8273 in the Pfam database, and 9093 in the Swiss-Prot database. Expression profile analysis found significant differential expression of 1308 unigenes between the middle silk gland (MSG) and posterior silk gland (PSG). Three sericin genes (sericin 1, sericin 2, and sericin 3) were expressed specifically in the MSG and three fibroin genes (fibroin-H, fibroin-L, and fibroin/P25) were expressed specifically in the PSG. In addition, 32,297 Single-nucleotide polymorphisms (SNPs) and 361 insertion-deletions (INDELs) were detected. Comparison with the domesticated silkworm p50/Dazao identified 5,295 orthologous genes, among which 400 might have experienced or to be experiencing positive selection by Ka/Ks analysis. These data and analyses presented here provide insights into silkworm domestication and an invaluable resource for wild silkworm genomics research. PMID:25806526

  4. Sequence analysis and enzyme kinetics of the L2 serine beta-lactamase from Stenotrophomonas maltophilia.

    PubMed Central

    Walsh, T R; MacGowan, A P; Bennett, P M

    1997-01-01

    The L2 serine active-site beta-lactamase from Stenotrophomonas maltophilia has been classified as a clavulanic acid-sensitive cephalosporinase. The gene encoding this enzyme from S. maltophilia 1275 IID has been cloned on a 3.3-kb fragment into pK18 under the control of a Ptac promoter to generate recombinant plasmid pUB5840; when expressed in Escherichia coli, this gene confers resistance to cephalosporins and penicillins. Sequence analysis has revealed an open reading frame (ORF) of 909 bp with a GC content of 71.6%, comparable to that of the L1 metallo-beta-lactamase gene (68.4%) from the same bacterium. The ORF encodes an unmodified protein of 303 amino acids with a predicted molecular mass of 31.5 kDa, accommodating a putative leader peptide of 27 amino acids. Comparison of the amino acid sequence with those of other beta-lactamases showed it to be most closely related (54% identity) to the BLA-A beta-lactamase from Yersinia enterocolitica. Sequence identity is most obvious near the STXK active-site motif and the SDN loop motif common to all serine active-site penicillinases. Sequences outside the conserved regions display low homology with comparable regions of other class A penicillinases. Kinetics of the enzyme from the cloned gene demonstrated an increase in activity with cefotaxime but markedly less activity with imipenem than previously reported. Hence, the S. maltophilia L2 beta-lactamase is an inducible Ambler class A beta-lactamase which would account for the sensitivity to clavulanic acid. PMID:9210666

  5. Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina).

    PubMed

    Martinez, Diego; Berka, Randy M; Henrissat, Bernard; Saloheimo, Markku; Arvas, Mikko; Baker, Scott E; Chapman, Jarod; Chertkov, Olga; Coutinho, Pedro M; Cullen, Dan; Danchin, Etienne G J; Grigoriev, Igor V; Harris, Paul; Jackson, Melissa; Kubicek, Christian P; Han, Cliff S; Ho, Isaac; Larrondo, Luis F; de Leon, Alfredo Lopez; Magnuson, Jon K; Merino, Sandy; Misra, Monica; Nelson, Beth; Putnam, Nicholas; Robbertse, Barbara; Salamov, Asaf A; Schmoll, Monika; Terry, Astrid; Thayer, Nina; Westerholm-Parvinen, Ann; Schoch, Conrad L; Yao, Jian; Barabote, Ravi; Barbote, Ravi; Nelson, Mary Anne; Detter, Chris; Bruce, David; Kuske, Cheryl R; Xie, Gary; Richardson, Paul; Rokhsar, Daniel S; Lucas, Susan M; Rubin, Edward M; Dunn-Coleman, Nigel; Ward, Michael; Brettin, Thomas S

    2008-05-01

    Trichoderma reesei is the main industrial source of cellulases and hemicellulases used to depolymerize biomass to simple sugars that are converted to chemical intermediates and biofuels, such as ethanol. We assembled 89 scaffolds (sets of ordered and oriented contigs) to generate 34 Mbp of nearly contiguous T. reesei genome sequence comprising 9,129 predicted gene models. Unexpectedly, considering the industrial utility and effectiveness of the carbohydrate-active enzymes of T. reesei, its genome encodes fewer cellulases and hemicellulases than any other sequenced fungus able to hydrolyze plant cell wall polysaccharides. Many T. reesei genes encoding carbohydrate-active enzymes are distributed nonrandomly in clusters that lie between regions of synteny with other Sordariomycetes. Numerous genes encoding biosynthetic pathways for secondary metabolites may promote survival of T. reesei in its competitive soil habitat, but genome analysis provided little mechanistic insight into its extraordinary capacity for protein secretion. Our analysis, coupled with the genome sequence data, provides a roadmap for constructing enhanced T. reesei strains for industrial applications such as biofuel production.

  6. PCR-Activated Cell Sorting for Cultivation-Free Enrichment and Sequencing of Rare Microbes

    PubMed Central

    Lim, Shaun W.; Tran, Tuan M.; Abate, Adam R.

    2015-01-01

    Microbial systems often exhibit staggering diversity, making the study of rare, interesting species challenging. For example, metagenomic analyses of mixed-cell populations are often dominated by the sequences of the most abundant organisms, while those of rare microbes are detected only at low levels, if at all. To overcome this, selective cultivation or fluorescence-activated cell sorting (FACS) can be used to enrich for the target species prior to sequence analysis; however, since most microbes cannot be grown in the lab, cultivation strategies often fail, while cell sorting requires techniques to uniquely label the cell type of interest, which is often not possible with uncultivable microbes. Here, we introduce a culture-independent strategy for sorting microbial cells based on genomic content, which we term PCR-activated cell sorting (PACS). This technology, which utilizes the power of droplet-based microfluidics, is similar to FACS in that it uses a fluorescent signal to uniquely identify and sort target species. However, PACS differs importantly from FACS in that the signal is generated by performing PCR assays on the cells in microfluidic droplets, allowing target cells to be identified with high specificity with suitable design of PCR primers and TaqMan probes. The PACS assay is general, requires minimal optimization and, unlike antibody methods, can be developed without access to microbial antigens. Compared to non-specific methods in which cells are sorted based on size, granularity, or the ability to take up dye, PACS enables genetic sequence-specific sorting and recovery of the cell genomes. In addition to sorting microbes, PACS can be applied to eukaryotic cells, viruses, and naked nucleic acids. PMID:25629401

  7. PCR-activated cell sorting for cultivation-free enrichment and sequencing of rare microbes.

    PubMed

    Lim, Shaun W; Tran, Tuan M; Abate, Adam R

    2015-01-01

    Microbial systems often exhibit staggering diversity, making the study of rare, interesting species challenging. For example, metagenomic analyses of mixed-cell populations are often dominated by the sequences of the most abundant organisms, while those of rare microbes are detected only at low levels, if at all. To overcome this, selective cultivation or fluorescence-activated cell sorting (FACS) can be used to enrich for the target species prior to sequence analysis; however, since most microbes cannot be grown in the lab, cultivation strategies often fail, while cell sorting requires techniques to uniquely label the cell type of interest, which is often not possible with uncultivable microbes. Here, we introduce a culture-independent strategy for sorting microbial cells based on genomic content, which we term PCR-activated cell sorting (PACS). This technology, which utilizes the power of droplet-based microfluidics, is similar to FACS in that it uses a fluorescent signal to uniquely identify and sort target species. However, PACS differs importantly from FACS in that the signal is generated by performing PCR assays on the cells in microfluidic droplets, allowing target cells to be identified with high specificity with suitable design of PCR primers and TaqMan probes. The PACS assay is general, requires minimal optimization and, unlike antibody methods, can be developed without access to microbial antigens. Compared to non-specific methods in which cells are sorted based on size, granularity, or the ability to take up dye, PACS enables genetic sequence-specific sorting and recovery of the cell genomes. In addition to sorting microbes, PACS can be applied to eukaryotic cells, viruses, and naked nucleic acids. PMID:25629401

  8. Whole genome sequence analysis of unidentified genetically modified papaya for development of a specific detection method.

    PubMed

    Nakamura, Kosuke; Kondo, Kazunari; Akiyama, Hiroshi; Ishigaki, Takumi; Noguchi, Akio; Katsumata, Hiroshi; Takasaki, Kazuto; Futo, Satoshi; Sakata, Kozue; Fukuda, Nozomi; Mano, Junichi; Kitta, Kazumi; Tanaka, Hidenori; Akashi, Ryo; Nishimaki-Mogami, Tomoko

    2016-08-15

    Identification of transgenic sequences in an unknown genetically modified (GM) papaya (Carica papaya L.) by whole genome sequence analysis was demonstrated. Whole genome sequence data were generated for a GM-positive fresh papaya fruit commodity detected in monitoring using real-time polymerase chain reaction (PCR). The sequences obtained were mapped against an open database for papaya genome sequence. Transgenic construct- and event-specific sequences were identified as a GM papaya developed to resist infection from a Papaya ringspot virus. Based on the transgenic sequences, a specific real-time PCR detection method for GM papaya applicable to various food commodities was developed. Whole genome sequence analysis enabled identifying unknown transgenic construct- and event-specific sequences in GM papaya and development of a reliable method for detecting them in papaya food commodities.

  9. Whole genome sequence analysis of unidentified genetically modified papaya for development of a specific detection method.

    PubMed

    Nakamura, Kosuke; Kondo, Kazunari; Akiyama, Hiroshi; Ishigaki, Takumi; Noguchi, Akio; Katsumata, Hiroshi; Takasaki, Kazuto; Futo, Satoshi; Sakata, Kozue; Fukuda, Nozomi; Mano, Junichi; Kitta, Kazumi; Tanaka, Hidenori; Akashi, Ryo; Nishimaki-Mogami, Tomoko

    2016-08-15

    Identification of transgenic sequences in an unknown genetically modified (GM) papaya (Carica papaya L.) by whole genome sequence analysis was demonstrated. Whole genome sequence data were generated for a GM-positive fresh papaya fruit commodity detected in monitoring using real-time polymerase chain reaction (PCR). The sequences obtained were mapped against an open database for papaya genome sequence. Transgenic construct- and event-specific sequences were identified as a GM papaya developed to resist infection from a Papaya ringspot virus. Based on the transgenic sequences, a specific real-time PCR detection method for GM papaya applicable to various food commodities was developed. Whole genome sequence analysis enabled identifying unknown transgenic construct- and event-specific sequences in GM papaya and development of a reliable method for detecting them in papaya food commodities. PMID:27006240

  10. Neutron activation analysis of Etruscan pottery

    SciTech Connect

    Whitehead, J.; Silverman, A.; Ouellet, C.G.; Clark, D.D.; Hossain, T.Z

    1992-07-01

    Neutron activation analysis (NAA) has been widely used in archaeology for compositional analysis of pottery samples taken from sites of archaeological importance. Elemental profiles can determine the place of manufacture. At Cornell, samples from an Etruscan site near Siena, Italy, are being studied. The goal of this study is to compile a trace element concentration profile for a large number of samples. These profiles will be matched with an existing data bank in an attempt to understand the place of origin for these samples. The 500 kW TRIGA reactor at the Ward Laboratory is used to collect NAA data for these samples. Experiments were done to set a procedure for the neutron activation analysis with respect to sample preparation, selection of irradiation container, definition of activation and counting parameters and data reduction. Currently, we are able to analyze some 27 elements in samples of mass 500 mg with a single irradiation of 4 hours and two sequences of counting. Our sensitivity for many of the trace elements is better than 1 ppm by weight under the conditions chosen. In this talk, details of our procedure, including quality assurance as measured by NIST standard reference materials, will be discussed. In addition, preliminary results from data treatment using cluster analysis will be presented. (author)

  11. Imaging cardiac activation sequence during ventricular tachycardia in a canine model of nonischemic heart failure.

    PubMed

    Han, Chengzong; Pogwizd, Steven M; Yu, Long; Zhou, Zhaoye; Killingsworth, Cheryl R; He, Bin

    2015-01-15

    Noninvasive cardiac activation imaging of ventricular tachycardia (VT) is important in the clinical diagnosis and treatment of arrhythmias in heart failure (HF) patients. This study investigated the ability of the three-dimensional cardiac electrical imaging (3DCEI) technique for characterizing the activation patterns of spontaneously occurring and norepinephrine (NE)-induced VTs in a newly developed arrhythmogenic canine model of nonischemic HF. HF was induced by aortic insufficiency followed by aortic constriction in three canines. Up to 128 body-surface ECGs were measured simultaneously with bipolar recordings from up to 232 intramural sites in a closed-chest condition. Data analysis was performed on the spontaneously occurring VTs (n=4) and the NE-induced nonsustained VTs (n=8) in HF canines. Both spontaneously occurring and NE-induced nonsustained VTs initiated by a focal mechanism primarily from the subendocardium, but occasionally from the subepicardium of left ventricle. Most focal initiation sites were located at apex, right ventricular outflow tract, and left lateral wall. The NE-induced VTs were longer, more rapid, and had more focal sites than the spontaneously occurring VTs. Good correlation was obtained between imaged activation sequence and direct measurements (averaged correlation coefficient of ∼0.70 over 135 VT beats). The reconstructed initiation sites were ∼10 mm from measured initiation sites, suggesting good localization in such a large animal model with cardiac size similar to a human. Both spontaneously occurring and NE-induced nonsustained VTs had focal initiation in this canine model of nonischemic HF. 3DCEI is feasible to image the activation sequence and help define arrhythmia mechanism of nonischemic HF-associated VTs. PMID:25416188

  12. Analysis of sequences conferring autonomous replication in baker's yeast.

    PubMed

    Kearsey, S

    1983-01-01

    A method is presented for rapid sequencing and mapping of elements which support autonomous replication in yeast. The strategy relies on a novel phage M13 vector which allows detection of ARS (autonomously replicating sequence) function in cloned fragments. Deletion mapping of an ARS element linked to the HO gene of Saccharomyces cerevisiae has identified a 57-bp region 3' to the gene, which is essential for autonomous replication. This region shows sequence homology to other ARS elements.

  13. Sequencing and computational analysis of complete genome sequences of Citrus yellow mosaic badna virus from acid lime and pummelo.

    PubMed

    Borah, Basanta K; Johnson, A M Anthony; Sai Gopal, D V R; Dasgupta, Indranil

    2009-08-01

    Citrus yellow mosaic badna virus (CMBV), a member of the Family Caulimoviridae, Genus Badnavirus, is the causative agent of Citrus mosaic disease in India. Although the virus has been detected in several citrus species, only two full-length genomes, one each from Sweet orange and Rangpur lime, are available in publicly accessible databases. In order to obtain a better understanding of the genetic variability of the virus in other citrus mosaic-affected citrus species, we performed the cloning and sequence analysis of complete genomes of CMBV from two additional citrus species, Acid lime and Pummelo. We show that CMBV genomes from the two hosts share high homology with previously reported CMBV sequences and hence conclude that the new isolates represent variants of the virus present in these species. Based on in silico sequence analysis, we predict the possible function of the protein encoded by one of the five ORFs.

  14. Sequence Dance for Lifelong Leisure Activity: An International Experience!

    ERIC Educational Resources Information Center

    Bennett, John P.

    This paper provides the outline of a session in dance at the annual meeting of the American Alliance for Health, Physical Education, Recreation, and Dance. The purpose of the session was to provide an opportunity to celebrate individual differences while learning new skills for lifelong leisure activity through an English dance form known as…

  15. The sequence and analysis of a Chinese pig genome

    PubMed Central

    2012-01-01

    Background The pig is an economically important food source, amounting to approximately 40% of all meat consumed worldwide. Pigs also serve as an important model organism because of their similarity to humans at the anatomical, physiological and genetic level, making them very useful for studying a variety of human diseases. A pig strain of particular interest is the miniature pig, specifically the Wuzhishan pig (WZSP), as it has been extensively inbred. Its high level of homozygosity offers increased ease for selective breeding for specific traits and a more straightforward understanding of the genetic changes that underlie its biological characteristics. WZSP also serves as a promising means for applications in surgery, tissue engineering, and xenotransplantation. Here, we report the sequencing and analysis of an inbreeding WZSP genome. Results Our results reveal some unique genomic features, including a relatively high level of homozygosity in the diploid genome, an unusual distribution of heterozygosity, an over-representation of tRNA-derived transposable elements, a small amount of porcine endogenous retrovirus, and a lack of type C retroviruses. In addition, we carried out systematic research on gene evolution, together with a detailed investigation of the counterparts of human drug target genes. Conclusion Our results provide the opportunity to more clearly define the genomic character of pig, which could enhance our ability to create more useful pig models. PMID:23587058

  16. The MPI Bioinformatics Toolkit for protein sequence analysis

    PubMed Central

    Biegert, Andreas; Mayer, Christian; Remmert, Michael; Söding, Johannes; Lupas, Andrei N.

    2006-01-01

    The MPI Bioinformatics Toolkit is an interactive web service which offers access to a great variety of public and in-house bioinformatics tools. They are grouped into different sections that support sequence searches, multiple alignment, secondary and tertiary structure prediction and classification. Several public tools are offered in customized versions that extend their functionality. For example, PSI-BLAST can be run against regularly updated standard databases, customized user databases or selectable sets of genomes. Another tool, Quick2D, integrates the results of various secondary structure, transmembrane and disorder prediction programs into one view. The Toolkit provides a friendly and intuitive user interface with an online help facility. As a key feature, various tools are interconnected so that the results of one tool can be forwarded to other tools. One could run PSI-BLAST, parse out a multiple alignment of selected hits and send the results to a cluster analysis tool. The Toolkit framework and the tools developed in-house will be packaged and freely available under the GNU Lesser General Public Licence (LGPL). The Toolkit can be accessed at . PMID:16845021

  17. Automated synthesis and sequence analysis of biological macromolecules

    SciTech Connect

    Smith, L.M.

    1988-03-15

    The traditional distinctions between the fields of physics, chemistry, and biology have blurred with time. As the important questions in biological research have become increasingly detailed and molecular in nature, the techniques needed to answer these questions have drawn increasingly on principles and methods usually ascribed to the fields of physics and chemistry. This fusion has resulted in the instruments and chemistries that constitute the technological foundations of modern biology and that are critical components in the new methods responsible for the explosive growth of modern biology during the last decade. Many of these instruments, such as microscopes, and spectrophotometers, have existed for decades; however, technological advances such as the user of imaging methods in NMR have greatly expanded their power and versatility. In the past several years, a new generation of instruments, whose everyday use has had revolutionary consequences, has come into existence. Central among these are the instruments concerned with the synthesis and sequence analysis of the two major biopolymers, protein and DNA. This article contains descriptions of these instruments, the chemistries on which they are based, and some of their manifold applications.

  18. Analysis of expressed sequence tags from the Ulva prolifera (Chlorophyta)

    NASA Astrophysics Data System (ADS)

    Niu, Jianfeng; Hu, Haiyan; Hu, Songnian; Wang, Guangce; Peng, Guang; Sun, Song

    2010-01-01

    In 2008, a green tide broke out before the sailing competition of the 29th Olympic Games in Qingdao. The causative species was determined to be Enteromorpha prolifera ( Ulva prolifera O. F. Müller), a familiar green macroalga along the coastline of China. Rapid accumulation of a large biomass of floating U. prolifera prompted research on different aspects of this species. In this study, we constructed a nonnormalized cDNA library from the thalli of U. prolifera and acquired 10 072 high-quality expressed sequence tags (ESTs). These ESTs were assembled into 3 519 nonredundant gene groups, including 1 446 clusters and 2 073 singletons. After annotation with the nr database, a large number of genes were found to be related with chloroplast and ribosomal protein, GO functional classification showed 1 418 ESTs participated in photosynthesis and 1 359 ESTs were responsible for the generation of precursor metabolites and energy. In addition, rather comprehensive carbon fixation pathways were found in U. prolifera using KEGG. Some stress-related and signal transduction-related genes were also found in this study. All the evidences displayed that U. prolifera had substance and energy foundation for the intense photosynthesis and the rapid proliferation. Phylogenetic analysis of cytochrome c oxidase subunit I revealed that this green-tide causative species is most closely affiliated to Pseudendoclonium akinetum (Ulvophyceae).

  19. Predictive sequence analysis of the Candidatus Liberibacter asiaticus proteome.

    PubMed

    Cong, Qian; Kinch, Lisa N; Kim, Bong-Hyun; Grishin, Nick V

    2012-01-01

    Candidatus Liberibacter asiaticus (Ca. L. asiaticus) is a parasitic gram-negative bacterium that is closely associated with Huanglongbing (HLB), a worldwide citrus disease. Given the difficulty in culturing the bacterium and thus in its experimental characterization, computational analyses of the whole Ca. L. asiaticus proteome can provide much needed insights into the mechanisms of the disease and guide the development of treatment strategies. In this study, we applied state-of-the-art sequence analysis tools to every Ca. L. asiaticus protein. Our results are available as a public website at http://prodata.swmed.edu/liberibacter_asiaticus/. In particular, we manually curated the results to predict the subcellular localization, spatial structure and function of all Ca. L. asiaticus proteins (http://prodata.swmed.edu/liberibacter_asiaticus/curated/). This extensive information should facilitate the study of Ca. L. asiaticus proteome function and its relationship to disease. Pilot studies based on the information from our website have revealed several potential virulence factors, discussed herein. PMID:22815919

  20. Predictive Sequence Analysis of the Candidatus Liberibacter asiaticus Proteome

    PubMed Central

    Cong, Qian; Kinch, Lisa N.; Kim, Bong-Hyun; Grishin, Nick V.

    2012-01-01

    Candidatus Liberibacter asiaticus (Ca. L. asiaticus) is a parasitic Gram-negative bacterium that is closely associated with Huanglongbing (HLB), a worldwide citrus disease. Given the difficulty in culturing the bacterium and thus in its experimental characterization, computational analyses of the whole Ca. L. asiaticus proteome can provide much needed insights into the mechanisms of the disease and guide the development of treatment strategies. In this study, we applied state-of-the-art sequence analysis tools to every Ca. L. asiaticus protein. Our results are available as a public website at http://prodata.swmed.edu/liberibacter_asiaticus/. In particular, we manually curated the results to predict the subcellular localization, spatial structure and function of all Ca. L. asiaticus proteins (http://prodata.swmed.edu/liberibacter_asiaticus/curated/). This extensive information should facilitate the study of Ca. L. asiaticus proteome function and its relationship to disease. Pilot studies based on the information from our website have revealed several potential virulence factors, discussed herein. PMID:22815919

  1. The DNA sequence and analysis of human chromosome 14.

    PubMed

    Heilig, Roland; Eckenberg, Ralph; Petit, Jean-Louis; Fonknechten, Núria; Da Silva, Corinne; Cattolico, Laurence; Levy, Michaël; Barbe, Valérie; de Berardinis, Véronique; Ureta-Vidal, Abel; Pelletier, Eric; Vico, Virginie; Anthouard, Véronique; Rowen, Lee; Madan, Anup; Qin, Shizhen; Sun, Hui; Du, Hui; Pepin, Kymberlie; Artiguenave, François; Robert, Catherine; Cruaud, Corinne; Brüls, Thomas; Jaillon, Olivier; Friedlander, Lucie; Samson, Gaelle; Brottier, Philippe; Cure, Susan; Ségurens, Béatrice; Anière, Franck; Samain, Sylvie; Crespeau, Hervé; Abbasi, Nissa; Aiach, Nathalie; Boscus, Didier; Dickhoff, Rachel; Dors, Monica; Dubois, Ivan; Friedman, Cynthia; Gouyvenoux, Michel; James, Rose; Madan, Anuradha; Mairey-Estrada, Barbara; Mangenot, Sophie; Martins, Nathalie; Ménard, Manuela; Oztas, Sophie; Ratcliffe, Amber; Shaffer, Tristan; Trask, Barbara; Vacherie, Benoit; Bellemere, Chadia; Belser, Caroline; Besnard-Gonnet, Marielle; Bartol-Mavel, Delphine; Boutard, Magali; Briez-Silla, Stéphanie; Combette, Stephane; Dufossé-Laurent, Virginie; Ferron, Carolyne; Lechaplais, Christophe; Louesse, Claudine; Muselet, Delphine; Magdelenat, Ghislaine; Pateau, Emilie; Petit, Emmanuelle; Sirvain-Trukniewicz, Peggy; Trybou, Arnaud; Vega-Czarny, Nathalie; Bataille, Elodie; Bluet, Elodie; Bordelais, Isabelle; Dubois, Maria; Dumont, Corinne; Guérin, Thomas; Haffray, Sébastien; Hammadi, Rachid; Muanga, Jacqueline; Pellouin, Virginie; Robert, Dominique; Wunderle, Edith; Gauguet, Gilbert; Roy, Alice; Sainte-Marthe, Laurent; Verdier, Jean; Verdier-Discala, Claude; Hillier, LaDeana; Fulton, Lucinda; McPherson, John; Matsuda, Fumihiko; Wilson, Richard; Scarpelli, Claude; Gyapay, Gábor; Wincker, Patrick; Saurin, William; Quétier, Francis; Waterston, Robert; Hood, Leroy; Weissenbach, Jean

    2003-02-01

    Chromosome 14 is one of five acrocentric chromosomes in the human genome. These chromosomes are characterized by a heterochromatic short arm that contains essentially ribosomal RNA genes, and a euchromatic long arm in which most, if not all, of the protein-coding genes are located. The finished sequence of human chromosome 14 comprises 87,410,661 base pairs, representing 100% of its euchromatic portion, in a single continuous segment covering the entire long arm with no gaps. Two loci of crucial importance for the immune system, as well as more than 60 disease genes, have been localized so far on chromosome 14. We identified 1,050 genes and gene fragments, and 393 pseudogenes. On the basis of comparisons with other vertebrate genomes, we estimate that more than 96% of the chromosome 14 genes have been annotated. From an analysis of the CpG island occurrences, we estimate that 70% of these annotated genes are complete at their 5' end. PMID:12508121

  2. Sequence analysis of novel CYP4 transcripts from Mytilus galloprovincialis.

    PubMed

    Ravlić, Sanda; Žučko, Jurica; Tanković, Mirta Smodlaka; Fafanđel, Maja; Bihari, Nevenka

    2015-07-01

    Cytochrome P450 enzymes (CYPs) are essential components of cellular detoxification system. We identified and characterized seven new cytochrome P450 gene transcript clusters in the populations of bivalve mollusc Mytilus galloprovincialis from three different locations. The phylogenetic analysis identified all transcripts as clusters within the CYP4 branch. Identified clusters, each comprising a number of transcript variants, were designated CYP4Y1, Y2, Y3, Y4, Y5, Y6 and Y7. Transcript clusters CYP4Y2 and Y7, and CYP4Y5 and Y6 showed site specificity, while the transcript clusters CYP4Y1, Y3 and Y4 were present at all investigated locations. The comparison of transcripts deduced amino acid sequences with CYP4s from vertebrate and invertebrate species showed high conservation of the residues and domains essential to the putative function of the enzyme, as terminal ω-hydroxylation and prostaglandin hydroxylation. Our results suggest the great expansion of the CYP4Y cDNAs indicative of CYP4 proteins in the mussel M. galloprovincialis presumably as a response to different environmental conditions.

  3. The MPI Bioinformatics Toolkit for protein sequence analysis.

    PubMed

    Biegert, Andreas; Mayer, Christian; Remmert, Michael; Söding, Johannes; Lupas, Andrei N

    2006-07-01

    The MPI Bioinformatics Toolkit is an interactive web service which offers access to a great variety of public and in-house bioinformatics tools. They are grouped into different sections that support sequence searches, multiple alignment, secondary and tertiary structure prediction and classification. Several public tools are offered in customized versions that extend their functionality. For example, PSI-BLAST can be run against regularly updated standard databases, customized user databases or selectable sets of genomes. Another tool, Quick2D, integrates the results of various secondary structure, transmembrane and disorder prediction programs into one view. The Toolkit provides a friendly and intuitive user interface with an online help facility. As a key feature, various tools are interconnected so that the results of one tool can be forwarded to other tools. One could run PSI-BLAST, parse out a multiple alignment of selected hits and send the results to a cluster analysis tool. The Toolkit framework and the tools developed in-house will be packaged and freely available under the GNU Lesser General Public Licence (LGPL). The Toolkit can be accessed at http://toolkit.tuebingen.mpg.de.

  4. The C. elegans apoptotic nuclease NUC-1 is related in sequence and activity to mammalian DNase II.

    PubMed

    Lyon, C J; Evans, C J; Bill, B R; Otsuka, A J; Aguilera, R J

    2000-07-11

    The Caenorhabditis elegans nuc-1 gene has previously been implicated in programmed cell death due to the presence of persistent undegraded apoptotic DNA in nuc-1 mutant animals. In this report, we describe the cloning and characterization of nuc-1, which encodes an acidic nuclease with significant sequence similarity to mammalian DNase II. Database searches performed with human DNase II protein sequence revealed a significant similarity with the predicted C. elegans C07B5.5 ORF. Subsequent analysis of crude C. elegans protein extracts revealed that wild-type animals contained a potent endonuclease activity with a cleavage preference similar to DNase II, while nuc-1 mutant worms demonstrated a marked reduction in this nuclease activity. Sequence analysis of C07B5.5 DNA and mRNA also revealed that nuc-1(e1392), but not wild-type animals contained a nonsense mutation within the CO7B5.5 coding region. Furthermore, nuc-1 transgenic lines carrying the wild-type C07B5.5 locus demonstrated a complete complementation of the nuc-1 mutant phenotype. Our results therefore provide compelling evidence that the C07B5.5 gene encodes the NUC-1 apoptotic nuclease and that this nuclease is related in sequence and activity to DNase II.

  5. Plasma Membrane Intrinsic Proteins from Maize Cluster in Two Sequence Subgroups with Differential Aquaporin Activity1

    PubMed Central

    Chaumont, François; Barrieu, François; Jung, Rudolf; Chrispeels, Maarten J.

    2000-01-01

    The transport of water through membranes is regulated in part by aquaporins or water channel proteins. These proteins are members of the larger family of major intrinsic proteins (MIPs). Plant aquaporins are categorized as either tonoplast intrinsic proteins (TIPs) or plasma membrane intrinsic proteins (PIPs). Sequence analysis shows that PIPs form several subclasses. We report on the characterization of three maize (Zea mays) PIPs belonging to the PIP1 and PIP2 subfamilies (ZmPIP1a, ZmPIP1b, and ZmPIP2a). The ZmPIP2a clone has normal aquaporin activity in Xenopus laevis oocytes. ZmPIP1a and ZmPIP1b have no activity, and a review of the literature shows that most PIP1 proteins identified in other plants have no or very low activity in oocytes. Arabidopsis PIP1 proteins are the only exception. Control experiments show that this lack of activity of maize PIP1 proteins is not caused by their failure to arrive at the plasma membrane of the oocytes. ZmPIP1b also does not appear to facilitate the transport of any of the small solutes tried (glycerol, choline, ethanol, urea, and amino acids). These results are discussed in relationship to the function and regulation of the PIP family of aquaporins. PMID:10759498

  6. Advanced accident sequence precursor analysis level 1 models

    SciTech Connect

    Sattison, M.B.; Thatcher, T.A.; Knudsen, J.K.; Schroeder, J.A.; Siu, N.O.

    1996-03-01

    INEL has been involved in the development of plant-specific Accident Sequence Precursor (ASP) models for the past two years. These models were developed for use with the SAPHIRE suite of PRA computer codes. They contained event tree/linked fault tree Level 1 risk models for the following initiating events: general transient, loss-of-offsite-power, steam generator tube rupture, small loss-of-coolant-accident, and anticipated transient without scram. Early in 1995 the ASP models were revised based on review comments from the NRC and an independent peer review. These models were released as Revision 1. The Office of Nuclear Regulatory Research has sponsored several projects at the INEL this fiscal year to further enhance the capabilities of the ASP models. Revision 2 models incorporates more detailed plant information into the models concerning plant response to station blackout conditions, information on battery life, and other unique features gleaned from an Office of Nuclear Reactor Regulation quick review of the Individual Plant Examination submittals. These models are currently being delivered to the NRC as they are completed. A related project is a feasibility study and model development of low power/shutdown (LP/SD) and external event extensions to the ASP models. This project will establish criteria for selection of LP/SD and external initiator operational events for analysis within the ASP program. Prototype models for each pertinent initiating event (loss of shutdown cooling, loss of inventory control, fire, flood, seismic, etc.) will be developed. A third project concerns development of enhancements to SAPHIRE. In relation to the ASP program, a new SAPHIRE module, GEM, was developed as a specific user interface for performing ASP evaluations. This module greatly simplifies the analysis process for determining the conditional core damage probability for a given combination of initiating events and equipment failures or degradations.

  7. Bioinformatic analysis of beta carbonic anhydrase sequences from protozoans and metazoans

    PubMed Central

    2014-01-01

    Background Despite the high prevalence of parasitic infections, and their impact on global health and economy, the number of drugs available to treat them is extremely limited. As a result, the potential consequences of large-scale resistance to any existing drugs are a major concern. A number of recent investigations have focused on the effects of potential chemical inhibitors on bacterial and fungal carbonic anhydrases. Among the five classes of carbonic anhydrases (alpha, beta, gamma, delta and zeta), beta carbonic anhydrases have been reported in most species of bacteria, yeasts, algae, plants, and particular invertebrates (nematodes and insects). To date, there has been a lack of knowledge on the expression and molecular structure of beta carbonic anhydrases in metazoan (nematodes and arthropods) and protozoan species. Methods Here, the identification of novel beta carbonic anhydrases was based on the presence of the highly-conserved amino acid sequence patterns of the active site. A phylogenetic tree was constructed based on codon-aligned DNA sequences. Subcellular localization prediction for each identified invertebrate beta carbonic anhydrase was performed using the TargetP webserver. Results We verified a total of 75 beta carbonic anhydrase sequences in metazoan and protozoan species by proteome-wide searches and multiple sequence alignment. Of these, 52 were novel, and contained highly conserved amino acid residues, which are inferred to form the active site in beta carbonic anhydrases. Mitochondrial targeting peptide analysis revealed that 31 enzymes are predicted with mitochondrial localization; one was predicted to be a secretory enzyme, and the other 43 were predicted to have other undefined cellular localizations. Conclusions These investigations identified 75 beta carbonic anhydrases in metazoan and protozoan species, and among them there were 52 novel sequences that were not previously annotated as beta carbonic anhydrases. Our results will not

  8. Sequence- and Structure-Based Analysis of Tissue-Specific Phosphorylation Sites

    PubMed Central

    Karabulut, Nermin Pinar; Frishman, Dmitrij

    2016-01-01

    Phosphorylation is the most widespread and well studied reversible posttranslational modification. Discovering tissue-specific preferences of phosphorylation sites is important as phosphorylation plays a role in regulating almost every cellular activity and disease state. Here we present a comprehensive analysis of global and tissue-specific sequence and structure properties of phosphorylation sites utilizing recent proteomics data. We identified tissue-specific motifs in both sequence and spatial environments of phosphorylation sites. Target site preferences of kinases across tissues indicate that, while many kinases mediate phosphorylation in all tissues, there are also kinases that exhibit more tissue-specific preferences which, notably, are not caused by tissue-specific kinase expression. We also demonstrate that many metabolic pathways are differentially regulated by phosphorylation in different tissues. PMID:27332813

  9. Genome Sequencing and Analysis of the Biomass-Degrading Fungus Trichoderma reesei (syn. Hypocrea jecorina)

    SciTech Connect

    Martinez, Antonio D.; Berka, Randy; Henrissat, Bernard; Saloheimo, Markku; Arvas, Mikko; Baker, Scott E.; Chapman, Jaro d; Chertkov, Olga; Coutinho, Pedro M.; Cullen, Dan; Danchin, Etienne G.; Grigoriev, Igor V.; Harris, Paul; Jackson, Melissa ?.; kubicek, Christian P.; Han, Cliff F.; Ho, Isaac; Larrando, Luis F.; Lopez de Leon, Alfredo; Magnuson, Jon K.; Merino, Sandy; Misra, Monica; Nelson, Beth; Putnam, Nicholas; Robbertse, Barbara; Salamov, Asaf; Schmoll, Monika; Terry, Astrid ?.; Thayer, Nina; Westerholm-Parvinen, Ann; Schoch, Conrad L.; Yao, Jian ?.; Barbote, Ravi; Nelson, Mary Anne; Detter, Chris J.; Bruce, David; Kuske, Cheryl; Xie, Gary; Richardson, P. M.; Rokhsar, Daniel S.; Lucas, Susan; Rubin, Eddie M.; Dunn-Coleman, Nigel; Ward, Michael ?.; Brettin, T.

    2008-05-01

    A major thrust of the white biotechnology movement involves the development of enzyme systems which depolymerize biomass to simple sugars which are subsequently converted to sustainable biofuels (e.g., ethanol) and chemical intermediates. The fungus Trichoderma reesei (syn. Hypocrea jecorina) represents a paradigm for the industrial production of highly efficient cellulases and hemicellulases needed for hydrolysis of biomass polysaccharides. Herein we describe intriguing attributes of the T. reeseigenome in relation to the future of fuel biotechnology. The T. reesei genome sequence was derived using a whole genome shotgun approach combined with finishing work to generate an assembly comprising 89 scaffolds totaling 34 Mbp with few gaps. In total, 9,130 gene models were predicted using a combination of ab initio and sequence similarity-based methods and EST data. Considering the industrial utility and effectiveness of its enzymes, the T. reesei genome surprisingly encodes the fewest cellulases and hemicellulases of any fungus having the ability to hydrolyze plant cell wall polysaccharides and whose genome has been sequenced. Many genes encoding carbohydrate active enzymes are distributed non-randomly in groups or clusters that interestingly lie between regions of synteny with other Sordariomycetes. Additionally, the T. reesei genome contains a multitude of genes encoding biosynthetic pathways for secondary metabolites (possible antibacterial and antifungal compounds) which may promote successful competition and survival in the crowded and competitive soil habitat occupied by T. reesei. Our analysis coupled with the availability of genome sequence data provides a roadmap for construction of enhanced T. reesei strains for industrial applications.

  10. Synthetic muscle promoters: activities exceeding naturally occurring regulatory sequences

    NASA Technical Reports Server (NTRS)

    Li, X.; Eastman, E. M.; Schwartz, R. J.; Draghia-Akli, R.

    1999-01-01

    Relatively low levels of expression from naturally occurring promoters have limited the use of muscle as a gene therapy target. Myogenic restricted gene promoters display complex organization usually involving combinations of several myogenic regulatory elements. By random assembly of E-box, MEF-2, TEF-1, and SRE sites into synthetic promoter recombinant libraries, and screening of hundreds of individual clones for transcriptional activity in vitro and in vivo, several artificial promoters were isolated whose transcriptional potencies greatly exceed those of natural myogenic and viral gene promoters.

  11. A new method of representing DNA sequences which combines ease of visual analysis with machine readability.

    PubMed Central

    Cowin, J E; Jellis, C H; Rickwood, D

    1986-01-01

    A new method of representing DNA sequences has been devised which is termed stave projection. Compared with other formats for showing the base sequences of DNA, this method greatly enhances the ease of visual analysis of the sequences of bases and it is also in a machine readable form. Using this method it is possible to identify and annotate all of the functional features found in DNA sequences. PMID:3003680

  12. GCAT-SEEKquence: Genome Consortium for Active Teaching of Undergraduates through Increased Faculty Access to Next-Generation Sequencing Data

    PubMed Central

    Buonaccorsi, Vincent P.; Boyle, Michael D.; Grove, Deborah; Praul, Craig; Sakk, Eric; Stuart, Ash; Tobin, Tammy; Hosler, Jay; Carney, Susan L.; Engle, Michael J.; Overton, Barry E.; Newman, Jeffrey D.; Pizzorno, Marie; Powell, Jennifer R.; Trun, Nancy

    2011-01-01

    To transform undergraduate biology education, faculty need to provide opportunities for students to engage in the process of science. The rise of research approaches using next-generation (NextGen) sequencing has been impressive, but incorporation of such approaches into the undergraduate curriculum remains a major challenge. In this paper, we report proceedings of a National Science Foundation–funded workshop held July 11–14, 2011, at Juniata College. The purpose of the workshop was to develop a regional research coordination network for undergraduate biology education (RCN/UBE). The network is collaborating with a genome-sequencing core facility located at Pennsylvania State University (University Park) to enable undergraduate students and faculty at small colleges to access state-of-the-art sequencing technology. We aim to create a database of references, protocols, and raw data related to NextGen sequencing, and to find innovative ways to reduce costs related to sequencing and bioinformatics analysis. It was agreed that our regional network for NextGen sequencing could operate more effectively if it were partnered with the Genome Consortium for Active Teaching (GCAT) as a new arm of that consortium, entitled GCAT-SEEK(quence). This step would also permit the approach to be replicated elsewhere. PMID:22135368

  13. Sequences flanking the core-binding site modulate glucocorticoid receptor structure and activity.

    PubMed

    Schöne, Stefanie; Jurk, Marcel; Helabad, Mahdi Bagherpoor; Dror, Iris; Lebars, Isabelle; Kieffer, Bruno; Imhof, Petra; Rohs, Remo; Vingron, Martin; Thomas-Chollier, Morgane; Meijsing, Sebastiaan H

    2016-09-01

    The glucocorticoid receptor (GR) binds as a homodimer to genomic response elements, which have particular sequence and shape characteristics. Here we show that the nucleotides directly flanking the core-binding site, differ depending on the strength of GR-dependent activation of nearby genes. Our study indicates that these flanking nucleotides change the three-dimensional structure of the DNA-binding site, the DNA-binding domain of GR and the quaternary structure of the dimeric complex. Functional studies in a defined genomic context show that sequence-induced changes in GR activity cannot be explained by differences in GR occupancy. Rather, mutating the dimerization interface mitigates DNA-induced changes in both activity and structure, arguing for a role of DNA-induced structural changes in modulating GR activity. Together, our study shows that DNA sequence identity of genomic binding sites modulates GR activity downstream of binding, which may play a role in achieving regulatory specificity towards individual target genes.

  14. Molecular Evolution of Multi-subunit RNA Polymerases: Sequence Analysis

    PubMed Central

    Lane, William J.; Darst, Seth A.

    2009-01-01

    Transcription in all cellular organisms is performed by multi-subunit, DNA-dependent RNA polymerases that synthesize RNA from DNA templates. Previous sequence and structural studies have elucidated the importance of shared regions common to all multi-subunit RNA polymerases. In addition RNA polymerases contain multiple lineage-specific domain insertions involved in protein-protein and protein-nucleic acid interactions. We have created comprehensive multiple sequence alignments using all available sequence data for the multi-subunit RNA polymerase large subunits, including the bacterial β and β′ subunits and their homologues from archaebacterial RNA polymerases, the eukaryotic RNA polymerases I, II, and III, the nuclear-cytoplasmic large double-stranded DNA Virus RNA polymerases, and plant plastid RNA polymerases. In order to overcome technical difficulties inherent to the large subunit sequences, including large sequence length, small and large lineage-specific insertions, split subunits, and fused proteins, we created an automated and customizable sequence retrieval and processing system. In addition, we used our alignments to create a more expansive set of shared sequence regions and bacterial lineage-specific domain insertions. We also analyzed the intergenic gap between the bacterial β and β′ genes. PMID:19895820

  15. Cloning and sequence analysis of the Blumea balsamifera DC farnesyl diphosphate synthase gene.

    PubMed

    Pang, Y X; Guan, L L; Wu, L F; Chen, Z X; Wang, K; Xie, X L; Yu, F L; Chen, X L; Zhang, Y B; Jiang, Q

    2014-01-01

    Blumea balsamifera DC is a member of the Compositae family and is frequently used as traditional Chinese medicine. Blumea balsamifera is rich in monoterpenes, which possess a variety of pharmacological activities, such as antioxidant, anti-bacteria, and anti-viral activities. Farnesyl diphosphate synthase (FPS) is a key enzyme in the biosynthetic pathway of terpenes, playing an important regulatory role in plant growth, such as resistance and secondary metabolism. Based on the conserved oligo amino acid residues of published FPS genes from other higher plant species, a cDNA sequence, designated BbFPS, was isolated from B. balsamifera DC using polymerase chain reaction. The clones were an average of 1.6 kb and contained an open reading frame that predicted a polypeptide of 342 amino acids with 89.07% identity to FPS from other plants. The deduced amino acid sequence was dominated by hydrophobic regions and contained 2 highly conserved DDxxD motifs that are essential for proper functioning of FPS. Phylogenetic analysis indicated that FPS grouped with other composite families. Prediction of secondary structure and subcellular localization suggested that alpha helices made up 70% of the amino acids of the sequence. PMID:25501197

  16. Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences.

    PubMed

    Yadav, Shailendra; Kundu, Sharbadeb; Ghosh, Sankar K; Maitra, S S

    2015-01-01

    Methanogens, a key contributor in global carbon cycling, methane emission, and alternative energy production, generate methane gas via anaerobic digestion of organic matter. The methane emission potential depends upon methanogenic diversity and activity. Since they are anaerobes and difficult to isolate and culture, their diversity present in the landfill sites of Delhi and marshlands of Southern Assam, India, was analyzed using molecular techniques like 16S rDNA sequencing, DGGE, and qPCR. The sequencing results indicated the presence of methanogens belonging to the seventh order and also the order Methanomicrobiales in the Ghazipur and Bhalsawa landfill sites of Delhi. Sequences, related to the phyla Crenarchaeota (thermophilic) and Thaumarchaeota (mesophilic), were detected from marshland sites of Southern Assam, India. Jaccard analysis of DGGE gel using Gel2K showed three main clusters depending on the number and similarity of band patterns. The copy number analysis of hydrogenotrophic methanogens using qPCR indicates higher abundance in landfill sites of Delhi as compared to the marshlands of Southern Assam. The knowledge about "methanogenic archaea composition" and "abundance" in the contrasting ecosystems like "landfill" and "marshland" may reorient our understanding of the Archaea inhabitants. This study could shed light on the relationship between methane-dynamics and the global warming process. PMID:26568700

  17. Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences.

    PubMed

    Yadav, Shailendra; Kundu, Sharbadeb; Ghosh, Sankar K; Maitra, S S

    2015-01-01

    Methanogens, a key contributor in global carbon cycling, methane emission, and alternative energy production, generate methane gas via anaerobic digestion of organic matter. The methane emission potential depends upon methanogenic diversity and activity. Since they are anaerobes and difficult to isolate and culture, their diversity present in the landfill sites of Delhi and marshlands of Southern Assam, India, was analyzed using molecular techniques like 16S rDNA sequencing, DGGE, and qPCR. The sequencing results indicated the presence of methanogens belonging to the seventh order and also the order Methanomicrobiales in the Ghazipur and Bhalsawa landfill sites of Delhi. Sequences, related to the phyla Crenarchaeota (thermophilic) and Thaumarchaeota (mesophilic), were detected from marshland sites of Southern Assam, India. Jaccard analysis of DGGE gel using Gel2K showed three main clusters depending on the number and similarity of band patterns. The copy number analysis of hydrogenotrophic methanogens using qPCR indicates higher abundance in landfill sites of Delhi as compared to the marshlands of Southern Assam. The knowledge about "methanogenic archaea composition" and "abundance" in the contrasting ecosystems like "landfill" and "marshland" may reorient our understanding of the Archaea inhabitants. This study could shed light on the relationship between methane-dynamics and the global warming process.

  18. Molecular Analysis of Methanogen Richness in Landfill and Marshland Targeting 16S rDNA Sequences

    PubMed Central

    Yadav, Shailendra; Kundu, Sharbadeb; Ghosh, Sankar K.; Maitra, S. S.

    2015-01-01

    Methanogens, a key contributor in global carbon cycling, methane emission, and alternative energy production, generate methane gas via anaerobic digestion of organic matter. The methane emission potential depends upon methanogenic diversity and activity. Since they are anaerobes and difficult to isolate and culture, their diversity present in the landfill sites of Delhi and marshlands of Southern Assam, India, was analyzed using molecular techniques like 16S rDNA sequencing, DGGE, and qPCR. The sequencing results indicated the presence of methanogens belonging to the seventh order and also the order Methanomicrobiales in the Ghazipur and Bhalsawa landfill sites of Delhi. Sequences, related to the phyla Crenarchaeota (thermophilic) and Thaumarchaeota (mesophilic), were detected from marshland sites of Southern Assam, India. Jaccard analysis of DGGE gel using Gel2K showed three main clusters depending on the number and similarity of band patterns. The copy number analysis of hydrogenotrophic methanogens using qPCR indicates higher abundance in landfill sites of Delhi as compared to the marshlands of Southern Assam. The knowledge about “methanogenic archaea composition” and “abundance” in the contrasting ecosystems like “landfill” and “marshland” may reorient our understanding of the Archaea inhabitants. This study could shed light on the relationship between methane-dynamics and the global warming process. PMID:26568700

  19. Sequence quality analysis tool for HIV type 1 protease and reverse transcriptase.

    PubMed

    Delong, Allison K; Wu, Mingham; Bennett, Diane; Parkin, Neil; Wu, Zhijin; Hogan, Joseph W; Kantor, Rami

    2012-08-01

    Access to antiretroviral therapy is increasing globally and drug resistance evolution is anticipated. Currently, protease (PR) and reverse transcriptase (RT) sequence generation is increasing, including the use of in-house sequencing assays, and quality assessment prior to sequence analysis is essential. We created a computational HIV PR/RT Sequence Quality Analysis Tool (SQUAT) that runs in the R statistical environment. Sequence quality thresholds are calculated from a large dataset (46,802 PR and 44,432 RT sequences) from the published literature ( http://hivdb.Stanford.edu ). Nucleic acid sequences are read into SQUAT, identified, aligned, and translated. Nucleic acid sequences are flagged if with >five 1-2-base insertions; >one 3-base insertion; >one deletion; >six PR or >18 RT ambiguous bases; >three consecutive PR or >four RT nucleic acid mutations; >zero stop codons; >three PR or >six RT ambiguous amino acids; >three consecutive PR or >four RT amino acid mutations; >zero unique amino acids; or <0.5% or >15% genetic distance from another submitted sequence. Thresholds are user modifiable. SQUAT output includes a summary report with detailed comments for troubleshooting of flagged sequences, histograms of pairwise genetic distances, neighbor joining phylogenetic trees, and aligned nucleic and amino acid sequences. SQUAT is a stand-alone, free, web-independent tool to ensure use of high-quality HIV PR/RT sequences in interpretation and reporting of drug resistance, while increasing awareness and expertise and facilitating troubleshooting of potentially problematic sequences.

  20. Deep Sequencing Analysis of Apple Infecting Viruses in Korea

    PubMed Central

    Cho, In-Sook; Igori, Davaajargal; Lim, Seungmo; Choi, Gug-Seoun; Hammond, John; Lim, Hyoun-Sub; Moon, Jae Sun

    2016-01-01

    Deep sequencing has generated 52 contigs derived from five viruses; Apple chlorotic leaf spot virus (ACLSV), Apple stem grooving virus (ASGV), Apple stem pitting virus (ASPV), Apple green crinkle associated virus (AGCaV), and Apricot latent virus (ApLV) were identified from eight apple samples showing small leaves and/or growth retardation. Nucleotide (nt) sequence identity of the assembled contigs was from 68% to 99% compared to the reference sequences of the five respective viral genomes. Sequences of ASPV and ASGV were the most abundantly represented by the 52 contigs assembled. The presence of the five viruses in the samples was confirmed by RT-PCR using specific primers based on the sequences of each assembled contig. All five viruses were detected in three of the samples, whereas all samples had mixed infections with at least two viruses. The most frequently detected virus was ASPV, followed by ASGV, ApLV, ACLSV, and AGCaV which were withal found in mixed infections in the tested samples. AGCaV was identified in assembled contigs ID 1012480 and 93549, which showed 82% and 78% nt sequence identity with ORF1 of AGCaV isolate Aurora-1. ApLV was identified in three assembled contigs, ID 65587, 1802365, and 116777, which showed 77%, 78%, and 76% nt sequence identity respectively with ORF1 of ApLV isolate LA2. Deep sequencing assay was shown to be a valuable and powerful tool for detection and identification of known and unknown virome in infected apple trees, here identifying ApLV and AGCaV in commercial orchards in Korea for the first time. PMID:27721694

  1. Initial sequence and comparative analysis of the cat genome

    PubMed Central

    Pontius, Joan U.; Mullikin, James C.; Smith, Douglas R.; Lindblad-Toh, Kerstin; Gnerre, Sante; Clamp, Michele; Chang, Jean; Stephens, Robert; Neelam, Beena; Volfovsky, Natalia; Schäffer, Alejandro A.; Agarwala, Richa; Narfström, Kristina; Murphy, William J.; Giger, Urs; Roca, Alfred L.; Antunes, Agostinho; Menotti-Raymond, Marilyn; Yuhki, Naoya; Pecon-Slattery, Jill; Johnson, Warren E.; Bourque, Guillaume; Tesler, Glenn; O’Brien, Stephen J.

    2007-01-01

    The genome sequence (1.9-fold coverage) of an inbred Abyssinian domestic cat was assembled, mapped, and annotated with a comparative approach that involved cross-reference to annotated genome assemblies of six mammals (human, chimpanzee, mouse, rat, dog, and cow). The results resolved chromosomal positions for 663,480 contigs, 20,285 putative feline gene orthologs, and 133,499 conserved sequence blocks (CSBs). Additional annotated features include repetitive elements, endogenous retroviral sequences, nuclear mitochondrial (numt) sequences, micro-RNAs, and evolutionary breakpoints that suggest historic balancing of translocation and inversion incidences in distinct mammalian lineages. Large numbers of single nucleotide polymorphisms (SNPs), deletion insertion polymorphisms (DIPs), and short tandem repeats (STRs), suitable for linkage or association studies were characterized in the context of long stretches of chromosome homozygosity. In spite of the light coverage capturing ∼65% of euchromatin sequence from the cat genome, these comparative insights shed new light on the tempo and mode of gene/genome evolution in mammals, promise several research applications for the cat, and also illustrate that a comparative approach using more deeply covered mammals provides an informative, preliminary annotation of a light (1.9-fold) coverage mammal genome sequence. PMID:17975172

  2. EST sequencing of Onychophora and phylogenomic analysis of Metazoa.

    PubMed

    Roeding, Falko; Hagner-Holler, Silke; Ruhberg, Hilke; Ebersberger, Ingo; von Haeseler, Arndt; Kube, Michael; Reinhardt, Richard; Burmester, Thorsten

    2007-12-01

    Onychophora (velvet worms) represent a small animal taxon considered to be related to Euarthropoda. We have obtained 1873 5' cDNA sequences (expressed sequence tags, ESTs) from the velvet worm Epiperipatus sp., which were assembled into 833 contigs. BLAST similarity searches revealed that 51.9% of the contigs had matches in the protein databases with expectation values lower than 10(-4). Most ESTs had the best hit with proteins from either Chordata or Arthropoda (approximately 40% respectively). The ESTs included sequences of 27 ribosomal proteins. The orthologous sequences from 28 other species of a broad range of phyla were obtained from the databases, including other EST projects. A concatenated amino acid alignment comprising 5021 positions was constructed, which covers 4259 positions when problematic regions were removed. Bayesian and maximum likelihood methods place Epiperipatus within the monophyletic Ecdysozoa (Onychophora, Arthropoda, Tardigrada and Nematoda), but its exact relation to the Euarthropoda remained unresolved. The "Articulata" concept was not supported. Tardigrada and Nematoda formed a well-supported monophylum, suggesting that Tardigrada are actually Cycloneuralia. In agreement with previous studies, we have demonstrated that random sequencing of cDNAs results in sequence information suitable for phylogenomic approaches to resolve metazoan relationships. PMID:17933557

  3. EST sequencing of Onychophora and phylogenomic analysis of Metazoa.

    PubMed

    Roeding, Falko; Hagner-Holler, Silke; Ruhberg, Hilke; Ebersberger, Ingo; von Haeseler, Arndt; Kube, Michael; Reinhardt, Richard; Burmester, Thorsten

    2007-12-01

    Onychophora (velvet worms) represent a small animal taxon considered to be related to Euarthropoda. We have obtained 1873 5' cDNA sequences (expressed sequence tags, ESTs) from the velvet worm Epiperipatus sp., which were assembled into 833 contigs. BLAST similarity searches revealed that 51.9% of the contigs had matches in the protein databases with expectation values lower than 10(-4). Most ESTs had the best hit with proteins from either Chordata or Arthropoda (approximately 40% respectively). The ESTs included sequences of 27 ribosomal proteins. The orthologous sequences from 28 other species of a broad range of phyla were obtained from the databases, including other EST projects. A concatenated amino acid alignment comprising 5021 positions was constructed, which covers 4259 positions when problematic regions were removed. Bayesian and maximum likelihood methods place Epiperipatus within the monophyletic Ecdysozoa (Onychophora, Arthropoda, Tardigrada and Nematoda), but its exact relation to the Euarthropoda remained unresolved. The "Articulata" concept was not supported. Tardigrada and Nematoda formed a well-supported monophylum, suggesting that Tardigrada are actually Cycloneuralia. In agreement with previous studies, we have demonstrated that random sequencing of cDNAs results in sequence information suitable for phylogenomic approaches to resolve metazoan relationships.

  4. A multiplexed transcription activator-like effector system for detecting specific DNA sequences.

    PubMed

    Honarmand, Ali; Mayall, Robert; George, Iain; Oberding, Lisa; Dastidar, Himika; Fegan, Jamie; Chaudhuri, Somshukla; Dole, Justin; Feng, Sharon; Hoang, Denny; Moges, Ruth; Osgood, Julie; Remondini, Taylor; van der Meulen, Wm Keith; Wang, Su; Wintersinger, Chris; Zaparoli Zucoloto, Amanda; Chatfield-Reed, Kate; Arcellana-Panlilio, Mayi; Nygren, Anders

    2014-12-19

    Transcription activator-like effectors (TALEs), originating from the Xanthomonas genus of bacteria, bind to specific DNA sequences based on amino acid sequence in the repeat-variable diresidue (RVD) positions of the protein. By altering these RVDs, it has been shown that a TALE protein can be engineered to bind virtually any DNA sequence of interest. The possibility of multiplexing TALEs for the purposes of identifying specific DNA sequences has yet to be explored. Here, we demonstrate a system in which a TALE protein bound to a nitrocellulose strip has been utilized to capture purified DNA, which is then detected using the binding of a second distinct TALE protein conjugated to a protein tag that is then detected by a dot blot. This system provides a signal only when both TALEs bind to their respective sequences, further demonstrating the specificity of the TALE binding.

  5. A multiplexed transcription activator-like effector system for detecting specific DNA sequences.

    PubMed

    Honarmand, Ali; Mayall, Robert; George, Iain; Oberding, Lisa; Dastidar, Himika; Fegan, Jamie; Chaudhuri, Somshukla; Dole, Justin; Feng, Sharon; Hoang, Denny; Moges, Ruth; Osgood, Julie; Remondini, Taylor; van der Meulen, Wm Keith; Wang, Su; Wintersinger, Chris; Zaparoli Zucoloto, Amanda; Chatfield-Reed, Kate; Arcellana-Panlilio, Mayi; Nygren, Anders

    2014-12-19

    Transcription activator-like effectors (TALEs), originating from the Xanthomonas genus of bacteria, bind to specific DNA sequences based on amino acid sequence in the repeat-variable diresidue (RVD) positions of the protein. By altering these RVDs, it has been shown that a TALE protein can be engineered to bind virtually any DNA sequence of interest. The possibility of multiplexing TALEs for the purposes of identifying specific DNA sequences has yet to be explored. Here, we demonstrate a system in which a TALE protein bound to a nitrocellulose strip has been utilized to capture purified DNA, which is then detected using the binding of a second distinct TALE protein conjugated to a protein tag that is then detected by a dot blot. This system provides a signal only when both TALEs bind to their respective sequences, further demonstrating the specificity of the TALE binding. PMID:25524096

  6. Immune gene discovery by expressed sequence tag (EST) analysis of hemocytes in the ridgetail white prawn Exopalaemon carinicauda

    PubMed Central

    Duan, Yafei; Liu, Ping; Li, Jitao; Li, Jian; Chen, Ping

    2013-01-01

    The ridgetail white prawn Exopalaemon carinicauda is one of the most important commercial species in eastern China. However, little information of immune genes in E. carinicauda has been reported. To identify distinctive genes associated with immunity, an expressed sequence tag (EST) library was constructed from hemocytes of E. carinicauda. A total of 3411 clones were sequenced, yielding 2853 ESTs and the average sequence length is 436 bp. The cluster and assembly analysis yielded 1053 unique sequences including 329 contigs and 724 singletons. Blast analysis identified 593 (56.3%) of the unique sequences as orthologs of genes from other organisms (E-value < 1e-5). Based on the COG and Gene Ontology (GO), 593 unique sequences were classified. Through comparison with previous studies, 153 genes assembled from 367 ESTs have been identified as possibly involved in defense or immune functions. These genes are categorized into seven categories according to their putative functions in shrimp immune system: antimicrobial peptides, prophenoloxidase activating system, antioxidant defense systems, chaperone proteins, clottable proteins, pattern recognition receptors and other immune-related genes. According to EST abundance, the major immune-related genes were thioredoxin (141, 4.94% of all ESTs) and calmodulin (14, 0.49% of all ESTs). The EST sequences of E. carinicauda hemocytes provide important information of the immune system and lay the groundwork for development of molecular markers related to disease resistance in prawn species. PMID:23092732

  7. Identification of Differential Gene Expression in Brassica rapa Nectaries through Expressed Sequence Tag Analysis

    PubMed Central

    Hampton, Marshall; Xu, Wayne W.; Kram, Brian W.; Chambers, Emily M.; Ehrnriter, Jerad S.; Gralewski, Jonathan H.; Joyal, Teresa; Carter, Clay J.

    2010-01-01

    Background Nectaries are the floral organs responsible for the synthesis and secretion of nectar. Despite their central roles in pollination biology, very little is understood about the molecular mechanisms underlying nectar production. This project was undertaken to identify genes potentially involved in mediating nectary form and function in Brassica rapa. Methodology and Principal Findings Four cDNA libraries were created using RNA isolated from the median and lateral nectaries of B. rapa flowers, with one normalized and one non-normalized library being generated from each tissue. Approximately 3,000 clones from each library were randomly sequenced from the 5′ end to generate a total of 11,101 high quality expressed sequence tags (ESTs). Sequence assembly of all ESTs together allowed the identification of 1,453 contigs and 4,403 singleton sequences, with the Basic Localized Alignment Search Tool (BLAST) being used to identify 4,138 presumptive orthologs to Arabidopsis thaliana genes. Several genes differentially expressed between median and lateral nectaries were initially identified based upon the number of BLAST hits represented by independent ESTs, and later confirmed via reverse transcription polymerase chain reaction (RT PCR). RT PCR was also used to verify the expression patterns of eight putative orthologs to known Arabidopsis nectary-enriched genes. Conclusions/Significance This work provided a snapshot of gene expression in actively secreting B. rapa nectaries, and also allowed the identification of differential gene expression between median and lateral nectaries. Moreover, 207 orthologs to known nectary-enriched genes from Arabidopsis were identified through this analysis. The results suggest that genes involved in nectar production are conserved amongst the Brassicaceae, and also supply clones and sequence information that can be used to probe nectary function in B. rapa. PMID:20098697

  8. Characterisation of the microbial diversity in a pig manure storage pit using small subunit rDNA sequence analysis.

    PubMed

    Snell-Castro, Raúl; Godon, Jean-Jacques; Delgenès, Jean-Philippe; Dabert, Patrick

    2005-04-01

    The microbial community structure of pig manure slurry (PMS) was determined with comparative analysis of 202 bacterial, 44 archaeal and 33 eukaryotic small subunit (SSU) rDNA partial sequences. Based on a criterion of 97% of sequence similarity, the phylogenetic analyses revealed a total of 108, eight and five phylotypes for the Bacteria, Archaea and Eukarya lineages, respectively. Only 36% of the bacterial phylotypes were closely related (>or=97% similarity) to any previously known sequence in databases. The bacterial groups most often represented in terms of phylotype and clone abundance were the Eubacterium (22% of total sequences), the Clostridium (15% of sequences), the Bacillus-Lactobacillus-Streptococcus subdivision (20% of sequences), theMycoplasma and relatives (10% of sequences) and the Flexibacter-Cytophaga-Bacteroides (20% of sequences). The global microbial community structure and phylotype diversity show a close relationship to the pig gastrointestinal tract ecosystem whereas phylotypes from the Acholeplasma-Anaeroplasma and the Clostridium purinolyticum groups appear to be better represented in manure. Archaeal diversity was dominated by three phylotypes clustering with a group of uncultured microorganisms of unknown activity and only distantly related to the Thermoplasmales and relatives. Other Archaea were methanogenic H2/CO2 utilisers. No known acetoclastic Archaea methanogen was found. Eukaryotic diversity was represented by a pluricellular nematode, two Alveolata, a Blastocystis and an Entamoebidae. Manure slurry physico-chemical characteristics were analysed. Possible inhibitory effects of acetate, sulphide and ammonia concentrations on the microbial anaerobic ecosystem are discussed. PMID:16329909

  9. Massively parallel sequencing and analysis of expressed sequence tags in a successful invasive plant

    PubMed Central

    Prentis, Peter J.; Woolfit, Megan; Thomas-Hall, Skye R.; Ortiz-Barrientos, Daniel; Pavasovic, Ana; Lowe, Andrew J.; Schenk, Peer M.

    2010-01-01

    Background Invasive species pose a significant threat to global economies, agriculture and biodiversity. Despite progress towards understanding the ecological factors associated with plant invasions, limited genomic resources have made it difficult to elucidate the evolutionary and genetic factors responsible for invasiveness. This study presents the first expressed sequence tag (EST) collection for Senecio madagascariensis, a globally invasive plant species. Methods We used pyrosequencing of one normalized and two subtractive libraries, derived from one native and one invasive population, to generate an EST collection. ESTs were assembled into contigs, annotated by BLAST comparison with the NCBI non-redundant protein database and assigned gene ontology (GO) terms from the Plant GO Slim ontologies. Key Results Assembly of the 221 746 sequence reads resulted in 12 442 contigs. Over 50 % (6183) of 12 442 contigs showed significant homology to proteins in the NCBI database, representing approx. 4800 independent transcripts. The molecular transducer GO term was significantly over-represented in the native (South African) subtractive library compared with the invasive (Australian) library. Based on NCBI BLAST hits and literature searches, 40 % of the molecular transducer genes identified in the South African subtractive library are likely to be involved in response to biotic stimuli, such as fungal, bacterial and viral pathogens. Conclusions This EST collection is the first representation of the S. madagascariensis transcriptome and provides an important resource for the discovery of candidate genes associated with plant invasiveness. The over-representation of molecular transducer genes associated with defence responses in the native subtractive library provides preliminary support for aspects of the enemy release and evolution of increased competitive ability hypotheses in this successful invasive. This study highlights the contribution of next-generation sequencing

  10. Correlations between prefrontal neurons form a small-world network that optimizes the generation of multineuron sequences of activity.

    PubMed

    Luongo, Francisco J; Zimmerman, Chris A; Horn, Meryl E; Sohal, Vikaas S

    2016-05-01

    Sequential patterns of prefrontal activity are believed to mediate important behaviors, e.g., working memory, but it remains unclear exactly how they are generated. In accordance with previous studies of cortical circuits, we found that prefrontal microcircuits in young adult mice spontaneously generate many more stereotyped sequences of activity than expected by chance. However, the key question of whether these sequences depend on a specific functional organization within the cortical microcircuit, or emerge simply as a by-product of random interactions between neurons, remains unanswered. We observed that correlations between prefrontal neurons do follow a specific functional organization-they have a small-world topology. However, until now it has not been possible to directly link small-world topologies to specific circuit functions, e.g., sequence generation. Therefore, we developed a novel analysis to address this issue. Specifically, we constructed surrogate data sets that have identical levels of network activity at every point in time but nevertheless represent various network topologies. We call this method shuffling activity to rearrange correlations (SHARC). We found that only surrogate data sets based on the actual small-world functional organization of prefrontal microcircuits were able to reproduce the levels of sequences observed in actual data. As expected, small-world data sets contained many more sequences than surrogate data sets with randomly arranged correlations. Surprisingly, small-world data sets also outperformed data sets in which correlations were maximally clustered. Thus the small-world functional organization of cortical microcircuits, which effectively balances the random and maximally clustered regimes, is optimal for producing stereotyped sequential patterns of activity.

  11. Rapid Conversion of Traditional Introductory Physics Sequences to an Activity-Based Format

    ERIC Educational Resources Information Center

    Yoder, Garett; Cook, Jerry

    2014-01-01

    The Department of Physics at EKU [Eastern Kentucky University] with support from the National Science Foundations Course Curriculum and Laboratory Improvement Program has successfully converted our entire introductory physics sequence, both algebra-based and calculus-based courses, to an activity-based format where laboratory activities,…

  12. Student Activity Ideas for the Technology Sequence Systems and Foundation Courses.

    ERIC Educational Resources Information Center

    New York State Education Dept., Albany.

    This publication provides single-page outlines of brief ideas for high school student activities in each of the System and Foundation Courses of the New York State technology sequence. The idea outlines are provided as a resource to assist teachers in the development of student learning activities. The six courses for which ideas are presented are…

  13. Neutron Activation Analysis: Techniques and Applications

    NASA Astrophysics Data System (ADS)

    MacLellan, Ryan

    2011-04-01

    The role of neutron activation analysis in low-energy low-background experimentsis discussed in terms of comparible methods. Radiochemical neutron activation analysis is introduce. The procedure of instrumental neutron activation analysis is detailed especially with respect to the measurement of trace amounts of natural radioactivity. The determination of reactor neutron spectrum parameters required for neutron activation analysis is also presented.

  14. Neutron Activation Analysis: Techniques and Applications

    SciTech Connect

    MacLellan, Ryan

    2011-04-27

    The role of neutron activation analysis in low-energy low-background experimentsis discussed in terms of comparible methods. Radiochemical neutron activation analysis is introduce. The procedure of instrumental neutron activation analysis is detailed especially with respect to the measurement of trace amounts of natural radioactivity. The determination of reactor neutron spectrum parameters required for neutron activation analysis is also presented.

  15. [Development of laboratory sequence analysis software based on WWW and UNIX].

    PubMed

    Huang, Y; Gu, J R

    2001-01-01

    Sequence analysis tools based on WWW and UNIX were developed in our laboratory to meet the needs of molecular genetics research in our laboratory. General principles of computer analysis of DNA and protein sequences were also briefly discussed in this paper.

  16. Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness.

    PubMed

    Verikas, Antanas; Vaiciukynas, Evaldas; Gelzinis, Adas; Parker, James; Olsson, M Charlotte

    2016-01-01

    This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG) signal stream, during the golf swing using a 7-iron club and exploits information extracted from EMG dynamics to predict the success of the resulting shot. Muscles of the arm and shoulder on both the left and right sides, namely flexor carpi radialis, extensor digitorum communis, rhomboideus and trapezius, are considered for 15 golf players (∼5 shots each). The method using Gaussian filtering is outlined for EMG onset time estimation in each channel and activation sequence profiling. Shots of each player revealed a persistent pattern of muscle activation. Profiles were plotted and insights with respect to player effectiveness were provided. Inspection of EMG dynamics revealed a pair of highest peaks in each channel as the hallmark of golf swing, and a custom application of peak detection for automatic extraction of swing segment was introduced. Various EMG features, encompassing 22 feature sets, were constructed. Feature sets were used individually and also in decision-level fusion for the prediction of shot effectiveness. The prediction of the target attribute, such as club head speed or ball carry distance, was investigated using random forest as the learner in detection and regression tasks. Detection evaluates the personal effectiveness of a shot with respect to the player-specific average, whereas regression estimates the value of target attribute, using EMG features as predictors. Fusion after decision optimization provided the best results: the equal error rate in detection was 24.3% for the speed and 31.7% for the distance; the mean absolute percentage error in regression was 3.2% for the speed and 6.4% for the distance. Proposed EMG feature sets were found to be useful, especially when used in combination. Rankings of feature sets indicated statistics for muscle activity in both the left and right body sides, correlation-based analysis of EMG dynamics and features

  17. Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness.

    PubMed

    Verikas, Antanas; Vaiciukynas, Evaldas; Gelzinis, Adas; Parker, James; Olsson, M Charlotte

    2016-01-01

    This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG) signal stream, during the golf swing using a 7-iron club and exploits information extracted from EMG dynamics to predict the success of the resulting shot. Muscles of the arm and shoulder on both the left and right sides, namely flexor carpi radialis, extensor digitorum communis, rhomboideus and trapezius, are considered for 15 golf players (∼5 shots each). The method using Gaussian filtering is outlined for EMG onset time estimation in each channel and activation sequence profiling. Shots of each player revealed a persistent pattern of muscle activation. Profiles were plotted and insights with respect to player effectiveness were provided. Inspection of EMG dynamics revealed a pair of highest peaks in each channel as the hallmark of golf swing, and a custom application of peak detection for automatic extraction of swing segment was introduced. Various EMG features, encompassing 22 feature sets, were constructed. Feature sets were used individually and also in decision-level fusion for the prediction of shot effectiveness. The prediction of the target attribute, such as club head speed or ball carry distance, was investigated using random forest as the learner in detection and regression tasks. Detection evaluates the personal effectiveness of a shot with respect to the player-specific average, whereas regression estimates the value of target attribute, using EMG features as predictors. Fusion after decision optimization provided the best results: the equal error rate in detection was 24.3% for the speed and 31.7% for the distance; the mean absolute percentage error in regression was 3.2% for the speed and 6.4% for the distance. Proposed EMG feature sets were found to be useful, especially when used in combination. Rankings of feature sets indicated statistics for muscle activity in both the left and right body sides, correlation-based analysis of EMG dynamics and features

  18. Electromyographic Patterns during Golf Swing: Activation Sequence Profiling and Prediction of Shot Effectiveness

    PubMed Central

    Verikas, Antanas; Vaiciukynas, Evaldas; Gelzinis, Adas; Parker, James; Olsson, M. Charlotte

    2016-01-01

    This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG) signal stream, during the golf swing using a 7-iron club and exploits information extracted from EMG dynamics to predict the success of the resulting shot. Muscles of the arm and shoulder on both the left and right sides, namely flexor carpi radialis, extensor digitorum communis, rhomboideus and trapezius, are considered for 15 golf players (∼5 shots each). The method using Gaussian filtering is outlined for EMG onset time estimation in each channel and activation sequence profiling. Shots of each player revealed a persistent pattern of muscle activation. Profiles were plotted and insights with respect to player effectiveness were provided. Inspection of EMG dynamics revealed a pair of highest peaks in each channel as the hallmark of golf swing, and a custom application of peak detection for automatic extraction of swing segment was introduced. Various EMG features, encompassing 22 feature sets, were constructed. Feature sets were used individually and also in decision-level fusion for the prediction of shot effectiveness. The prediction of the target attribute, such as club head speed or ball carry distance, was investigated using random forest as the learner in detection and regression tasks. Detection evaluates the personal effectiveness of a shot with respect to the player-specific average, whereas regression estimates the value of target attribute, using EMG features as predictors. Fusion after decision optimization provided the best results: the equal error rate in detection was 24.3% for the speed and 31.7% for the distance; the mean absolute percentage error in regression was 3.2% for the speed and 6.4% for the distance. Proposed EMG feature sets were found to be useful, especially when used in combination. Rankings of feature sets indicated statistics for muscle activity in both the left and right body sides, correlation-based analysis of EMG dynamics and features

  19. Genome sequencing and systems biology analysis of a lipase-producing bacterial strain.

    PubMed

    Li, N; Li, D D; Zhang, Y Z; Yuan, Y Z; Geng, H; Xiong, L; Liu, D L

    2016-01-01

    Lipase-producing bacteria are naturally-occurring, industrially-relevant microorganisms that produce lipases, which can be used to synthesize biodiesel from waste oils. The efficiency of lipase expression varies between various microbial strains. Therefore, strains that can produce lipases with high efficiency must be screened, and the conditions of lipase metabolism and optimization of the production process in a given environment must be thoroughly studied. A high efficiency lipase-producing strain was isolated from the sediments of Jinsha River, identified by 16S rRNA sequence analysis as Serratia marcescens, and designated as HS-L5. A schematic diagram of the genome sequence was constructed by high-throughput genome sequencing. A series of genes related to lipid degradation were identified by functional gene annotation through sequence homology analysis. A genome-scale metabolic model of HS-ML5 was constructed using systems biology techniques. The model consisted of 1722 genes and 1567 metabolic reactions. The topological graph of the genome-scale metabolic model was compared to that of conventional metabolic pathways using a visualization software and KEGG database. The basic components and boundaries of the tributyrin degradation subnetwork were determined, and its flux balance analyzed using Matlab and COBRA Toolbox to simulate the effects of different conditions on the catalytic efficiency of lipases produced by HS-ML5. We proved that the catalytic activity of microbial lipases was closely related to the carbon metabolic pathway. As production and catalytic efficiency of lipases varied greatly with the environment, the catalytic efficiency and environmental adaptability of microbial lipases can be improved by proper control of the production conditions. PMID:27050954

  20. Developmental sequences for hopping as assessment instruments: a generalizability analysis.

    PubMed

    Painter, M A

    1994-03-01

    The purpose of this study was to investigate the generalizability with which undergraduate kinesiology and elementary education students can rate children's hopping performances according to prelongitudinally validated developmental sequences for the arms, legs, and total body. Twenty observers were assigned to one of four training groups (n = 5): (a) kinesiology students/total-body sequence, (b) kinesiology students/component sequences, (c) elementary education students/total-body sequence, and (d) elementary education students/component sequences. The observers rated five trials of videotaped hopping performances by 10 boys and 10 girls between the ages of 3.5 and 9.0 years. The results suggested that when kinesiology students receive 2 hours of training, one observer can reliably assess leg action in one trial (.80) and arm action in five trials (.80). In contrast, one elementary education student can reliably assess leg action within five trials (.80), but the average score of two observers assessing three trials each is needed to assess arm action (.81). Reliable assessment of total-body action requires two observers for both the kinesiology students (four trials each = .80) and the elementary education students (two trials each = .84).

  1. Expressed sequence tag analysis in tef (Eragrostis tef (Zucc) Trotter).

    PubMed

    Yu, Ju-Kyung; Sun, Qi; Rota, Mauricio La; Edwards, Hugh; Tefera, Hailu; Sorrells, Mark E

    2006-04-01

    Tef (Eragrostis tef (Zucc.) Trotter) is the most important cereal crop in Ethiopia; however, there is very little DNA sequence information available for this species. Expressed sequence tags (ESTs) were generated from 4 cDNA libraries: seedling leaf, seedling root, and inflorescence of E. tef and seedling leaf of Eragrostis pilosa, a wild relative of E. tef. Clustering of 3603 sequences produced 530 clusters and 1890 singletons, resulting in 2420 tef unigenes. Approximately 3/4 of tef unigenes matched protein or nucleotide sequences in public databases. Annotation of unigenes associated 68% of the putative tef genes with gene ontology categories. Identification of the translated unigenes for conserved protein domains revealed 389 protein family domains (Pfam), the most frequent of which was protein kinase. A total of 170 ESTs containing simple sequence repeats (EST-SSRs) were identified and 80 EST-SSR markers were developed. In addition, 19 single-nucleotide polymorphism (SNP) and (or) insertion-deletion (indel) and 34 intron fragment length polymorphism (IFLP) markers were developed. The EST database and molecular markers generated in this study will be valuable resources for further tef genetic research.

  2. DNA sequence analysis of newly formed telomeres in yeast.

    PubMed

    Wang, S S; Pluta, A F; Zakian, V A

    1989-01-01

    A plasmid can be maintained in linear form in baker's yeast if it bears telomeric sequences at each end. Linear plasmids bearing cloned telomeric C4A4 repeats at one end (test end) and a natural DNA terminus with approximately 300 bps of C4A2 repeats at the other or control end were introduced by transformation into yeast. Test-end termini of 28 to 112 bps supported telomere formation. During telomere formation, C4A2 repeats were often transferred to test-end termini. To determine in greater detail the fate of test-end sequences on these plasmids after propagation in yeast, test-end telomeres were subcloned into E. coli and sequenced. DNA sequencing established a number of points about the molecular events involved in telomere formation in yeast. The results suggest that there are at least two mechanisms for telomere formation in yeast. One is mediated by a recombination event that requires neither a long stretch of homology nor the RAD52 gene product. The other mechanism is by addition of C1-3A repeats to the termini of linear DNA molecules. The telomeric sequence required to support C1-3A addition need not be at the very end of a molecule for telomere formation.

  3. SxtA gene sequence analysis of dinoflagellate Alexandrium minutum

    NASA Astrophysics Data System (ADS)

    Norshaha, Safida Anira; Latib, Norhidayu Abdul; Usup, Gires; Yusof, Nurul Yuziana Mohd

    2015-09-01

    The dinoflagellate Alexandrium minutum is typically known for the production of potent neurotoxins such as saxitoxin, affecting the health of human seafood consumers via paralytic shellfish poisoning (PSP). These phenomena is related to the harmful algal blooms (HABs) that is believed to be influenced by environmental and nutritional factors. Previous study has revealed that SxtA gene is a starting gene that involved in the saxitoxin production pathway. The aim of this study was to analyse the sequence of the sxtA gene in A. minutum. The dinoflagellates culture was cultured at temperature 26°C with 16:8-hour light:dark photocycle. After the samples were harvested, RNA was extracted, complementary DNA (cDNA) was synthesised and amplified by polymerase chain reaction (PCR). The PCR products were then purified and cloned before sequenced. The SxtA sequence obtained was then analyzed in order to identify the presence of SxtA gene in Alexandrium minutum.

  4. Analysis of sequence-dependent curvature in matrix attachment regions.

    PubMed

    Yamamura, J; Nomura, K

    2001-02-01

    Sequence-dependent DNA conformations of matrix attachment regions (MARs) available in a database were calculated using the wedge model, and compared with randomly chosen genes, promoters, enhancers and transposons. The MARs had a longer bent part and higher angle/helical turn than the other regions. It is known that some MAR sequences have A-tracts that cause DNA bending, and we also found many A-tracts in examined MARs. Furthermore, non-random and clustered distribution of A-tracts shown here gave further evidence of the importance of A-tracts for MAR conformations. These results suggest that DNAs of MARs have a characteristic conformation instead of conserved sequence.

  5. Sequence analysis of mitochondrial DNA hypervariable regions using infrared fluorescence detection.

    PubMed

    Steffens, D L; Roy, R

    1998-06-01

    The non-coding region of the mitochondrial genome provides an attractive target for human forensic identification studies. Two hypervariable (HV) regions, each approximately 250-350 bp in length, contain the majority of mitochondrial DNA (mtDNA) sequence variability among different individuals. Various approaches to determine mtDNA sequence were evaluated utilizing highly sensitive infrared (IR) fluorescence detection. HV regions were amplified either together or separately and cycle-sequenced using a Thermo Sequenase protocol. An M13 universal primer sequence tail covalently attached to the 5' terminus of an amplification primer facilitated electrophoretic analysis and direct sequencing of the amplification products using IR detection. PMID:9631201

  6. Sequence-specific apolipoprotein A-I effects on lecithin:cholesterol acyltransferase activity.

    PubMed

    Dergunov, Alexander D

    2013-06-01

    Existing kinetic data of cholesteryl ester formation by lecithin:cholesterol acyltransferase in discoidal high-density lipoproteins with 34 mutations of apoA-I that involved all putative helices were grouped by cluster analysis into four noncoincident regions with mutations both without any functional impairment and with profound isolated (V- and K-mutations) or common (VK-mutations) effect on V(max)(app) and K(m)(app). Data were analyzed with a new kinetic model of LCAT activity at interface that exploits the efficiency of LCAT binding to the particle, particle dimensions, and surface concentrations of phosphatidylcholine and cholesterol. V-mutations with major location in the central part and C-domain affected the second-order rate constant of cholesteryl ester formation at the solvolysis of acyl-enzyme intermediate by cholesterol as nucleophile. The central region in apoA-I sequence is suggested to influence the proper positioning of cholesterol molecule toward LCAT active center with major contribution of arginine residue(s). K-mutations with major location in N-domain may affect binding and stability of enzyme-phosphatidylcholine complex. VK-mutations may possess mixed effects; the independent binding measurement may segregate individual steps. PMID:23516040

  7. Cloning, sequence analysis and crystal structure determination of a miraculin-like protein from Murraya koenigii.

    PubMed

    Gahloth, Deepankar; Selvakumar, Purushotham; Shee, Chandan; Kumar, Pravindra; Sharma, Ashwani Kumar

    2010-02-01

    Earlier, the purification of a 21.4kDa protein with trypsin inhibitory activity from seeds of Murraya koenigii has been reported. The present study, based on the amino acid sequence deduced from both cDNA and genomic DNA, establishes it to be a miraculin-like protein and provides crystal structure at 2.9A resolution. The mature protein consists of 190 amino acid residues with seven cysteines arranged in three disulfide bridges. The amino acid sequence showed maximum homology and formed a distinct cluster with miraculin-like proteins, a soybean Kunitz super family member, in phylogenetic analyses. The major differences in sequence were observed at primary and secondary specificity sites in the reactive loop when compared to classical Kunitz family members. The crystal structure analysis showed that the protein is made of twelve antiparallel beta-strands, loops connecting beta-strands and two short helices. Despite similar overall fold, it showed significant differences from classical Kunitz trypsin inhibitors. PMID:19914199

  8. Monoclonal antibodies raised against 167-180 aa sequence of human carbonic anhydrase XII inhibit its enzymatic activity.

    PubMed

    Dekaminaviciute, Dovile; Kairys, Visvaldas; Zilnyte, Milda; Petrikaite, Vilma; Jogaite, Vaida; Matuliene, Jurgita; Gudleviciene, Zivile; Vullo, Daniela; Supuran, Claudiu T; Zvirbliene, Aurelija

    2014-12-01

    Abstract Human carbonic anhydrase XII (CA XII) is a single-pass transmembrane protein with an extracellular catalytic domain. This enzyme is being recognized as a potential biomarker for different tumours. The current study was aimed to generate monoclonal antibodies (MAbs) neutralizing the enzymatic activity of CA XII. Bioinformatics analysis of CA XII structure revealed surface-exposed sequences located in a proximity of its catalytic centre. Two MAbs against the selected antigenic peptide spanning 167-180 aa sequence of CA XII were generated. The MAbs were reactive with recombinant catalytic domain of CA XII expressed either in E. coli or mammalian cells. Inhibitory activity of the MAbs was demonstrated by a stopped flow CO2 hydration assay. The study provides new data on the surface-exposed linear CA XII epitope that may serve as a target for inhibitory antibodies with a potential immunotherapeutic application.

  9. Electrophysiological and structural determinants of electrotonic modulation of repolarization by the activation sequence

    PubMed Central

    Walton, Richard D.; Benson, Alan P.; Hardy, Matthew E. L.; White, Ed; Bernus, Olivier

    2013-01-01

    Spatial dispersion of repolarization is known to play an important role in arrhythmogenesis. Electrotonic modulation of repolarization by the activation sequence has been observed in some species and tissue preparations, but to varying extents. Our study sought to determine the mechanisms underlying species- and tissue-dependent electrotonic modulation of repolarization in ventricles. Epi-fluorescence optical imaging of whole rat hearts and pig left ventricular wedges were used to assess epicardial spatial activation and repolarization characteristics. Experiments were supported by computer simulations using realistic geometries. Tight coupling between activation times (AT) and action potential duration (APD) were observed in rat experiments but not in pig. Linear correlation analysis found slopes of −1.03 ± 0.59 and −0.26 ± 0.13 for rat and pig, respectively (p < 0.0001). In rat, maximal dispersion of APD was 11.0 ± 3.1 ms but dispersion of repolarization time (RT) was relatively homogeneous (8.2 ± 2.7, p < 0.0001). However, in pig no such difference was observed between the dispersion of APD and RT (17.8 ± 6.1 vs. 17.7 ± 6.5, respectively). Localized elevations of APD (12.9 ± 8.3%) were identified at ventricular insertion sites of rat hearts both in experiments and simulations. Tissue geometry and action potential (AP) morphology contributed significantly to determining influence of electrotonic modulation. Simulations of a rat AP in a pig geometry decreased the slope of AT and APD relationships by 70.6% whereas slopes were increased by 75.0% when implementing a pig AP in a rat geometry. A modified pig AP, shortened to match the rat APD, showed little coupling between AT and APD with greatly reduced slope compared to the rat AP. Electrotonic modulation of repolarization by the activation sequence is especially pronounced in small hearts with murine-like APs. Tissue architecture and AP morphology play an important role in electrotonic modulation of

  10. Mercury: Next-gen Data Analysis and Annotation Pipeline (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    SciTech Connect

    Sexton, David

    2012-06-01

    David Sexton (Baylor) gives a talk titled "Mercury: Next-gen Data Analysis and Annotation Pipeline" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  11. Mercury: Next-gen Data Analysis and Annotation Pipeline (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema

    Sexton, David [Baylor

    2016-07-12

    David Sexton (Baylor) gives a talk titled "Mercury: Next-gen Data Analysis and Annotation Pipeline" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  12. Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences

    PubMed Central

    Brandt, Katelyn; Barrangou, Rodolphe

    2016-01-01

    Bifidobacteria are important members of the human gastrointestinal tract that promote the establishment of a healthy microbial consortium in the gut of infants. Recent studies have established that the Bifidobacterium genus is a polymorphic phylogenetic clade, which encompasses a diversity of species and subspecies that encode a broad range of proteins implicated in complex and non-digestible carbohydrate uptake and catabolism, ranging from human breast milk oligosaccharides, to plant fibers. Recent genomic studies have created a need to properly place Bifidobacterium species in a phylogenetic tree. Current approaches, based on core-genome analyses come at the cost of intensive sequencing and demanding analytical processes. Here, we propose a typing method based on sequences of glycolysis genes and the proteins they encode, to provide insights into diversity, typing, and phylogeny in this complex and broad genus. We show that glycolysis genes occur broadly in these genomes, to encode the machinery necessary for the biochemical spine of the cell, and provide a robust phylogenetic marker. Furthermore, glycolytic sequences-based trees are congruent with both the classical 16S rRNA phylogeny, and core genome-based strain clustering. Furthermore, these glycolysis markers can also be used to provide insights into the adaptive evolution of this genus, especially with regards to trends toward a high GC content. This streamlined method may open new avenues for phylogenetic studies on a broad scale, given the widespread occurrence of the glycolysis pathway in bacteria, and the diversity of the sequences they encode. PMID:27242688

  13. Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences.

    PubMed

    Brandt, Katelyn; Barrangou, Rodolphe

    2016-01-01

    Bifidobacteria are important members of the human gastrointestinal tract that promote the establishment of a healthy microbial consortium in the gut of infants. Recent studies have established that the Bifidobacterium genus is a polymorphic phylogenetic clade, which encompasses a diversity of species and subspecies that encode a broad range of proteins implicated in complex and non-digestible carbohydrate uptake and catabolism, ranging from human breast milk oligosaccharides, to plant fibers. Recent genomic studies have created a need to properly place Bifidobacterium species in a phylogenetic tree. Current approaches, based on core-genome analyses come at the cost of intensive sequencing and demanding analytical processes. Here, we propose a typing method based on sequences of glycolysis genes and the proteins they encode, to provide insights into diversity, typing, and phylogeny in this complex and broad genus. We show that glycolysis genes occur broadly in these genomes, to encode the machinery necessary for the biochemical spine of the cell, and provide a robust phylogenetic marker. Furthermore, glycolytic sequences-based trees are congruent with both the classical 16S rRNA phylogeny, and core genome-based strain clustering. Furthermore, these glycolysis markers can also be used to provide insights into the adaptive evolution of this genus, especially with regards to trends toward a high GC content. This streamlined method may open new avenues for phylogenetic studies on a broad scale, given the widespread occurrence of the glycolysis pathway in bacteria, and the diversity of the sequences they encode. PMID:27242688

  14. Analysis of the complete DNA sequence of murine cytomegalovirus.

    PubMed Central

    Rawlinson, W D; Farrell, H E; Barrell, B G

    1996-01-01

    The complete DNA sequence of the Smith strain of murine cytomegalovirus (MCMV) was determined from virion DNA by using a whole-genome shotgun approach. The genome has an overall G+C content of 58.7%, consists of 230,278 bp, and is arranged as a single unique sequence with short (31-bp) terminal direct repeats and several short internal repeats. Significant similarity to the genome of the sequenced human cytomegalovirus (HCMV) strain AD169 is evident, particularly for 78 open reading frames encoded by the central part of the genome. There is a very similar distribution of G+C content across the two genomes. Sequences toward the ends of the MCMV genome encode tandem arrays of homologous glycoproteins (gps) arranged as two gene families. The left end encodes 15 gps that represent one family, and the right end encodes a different family of 11 gps. A homolog (m144) of cellular major histocompatibility complex (MHC) class I genes is located at the end of the genome opposite the HCMV MHC class I homolog (UL18). G protein-coupled receptor (GCR) homologs (M33 and M78) occur in positions congruent with two (UL33 and UL78) of the four putative HCMV GCR homologs. Counterparts of all of the known enzyme homologs in HCMV are present in the MCMV genome, including the phosphotransferase gene (M97), whose product phosphorylates ganciclovir in HCMV-infected cells, and the assembly protein (M80). PMID:8971012

  15. Analysis of the complete DNA sequence of murine cytomegalovirus.

    PubMed

    Rawlinson, W D; Farrell, H E; Barrell, B G

    1996-12-01

    The complete DNA sequence of the Smith strain of murine cytomegalovirus (MCMV) was determined from virion DNA by using a whole-genome shotgun approach. The genome has an overall G+C content of 58.7%, consists of 230,278 bp, and is arranged as a single unique sequence with short (31-bp) terminal direct repeats and several short internal repeats. Significant similarity to the genome of the sequenced human cytomegalovirus (HCMV) strain AD169 is evident, particularly for 78 open reading frames encoded by the central part of the genome. There is a very similar distribution of G+C content across the two genomes. Sequences toward the ends of the MCMV genome encode tandem arrays of homologous glycoproteins (gps) arranged as two gene families. The left end encodes 15 gps that represent one family, and the right end encodes a different family of 11 gps. A homolog (m144) of cellular major histocompatibility complex (MHC) class I genes is located at the end of the genome opposite the HCMV MHC class I homolog (UL18). G protein-coupled receptor (GCR) homologs (M33 and M78) occur in positions congruent with two (UL33 and UL78) of the four putative HCMV GCR homologs. Counterparts of all of the known enzyme homologs in HCMV are present in the MCMV genome, including the phosphotransferase gene (M97), whose product phosphorylates ganciclovir in HCMV-infected cells, and the assembly protein (M80). PMID:8971012

  16. Learning Progressions and Teaching Sequences: A Review and Analysis

    ERIC Educational Resources Information Center

    Duschl, Richard; Maeng, Seungho; Sezen, Asli

    2011-01-01

    Our paper is an analytical review of the design, development and reporting of learning progressions and teaching sequences. Research questions are: (1) what criteria are being used to propose a "hypothetical learning progression/trajectory" and (2) what measurements/evidence are being used to empirically define and refine a "hypothetical learning…

  17. Assessing Activity Pattern Similarity with Multidimensional Sequence Alignment based on a Multiobjective Optimization Evolutionary Algorithm

    PubMed Central

    Kwan, Mei-Po; Xiao, Ningchuan; Ding, Guoxiang

    2015-01-01

    Due to the complexity and multidimensional characteristics of human activities, assessing the similarity of human activity patterns and classifying individuals with similar patterns remains highly challenging. This paper presents a new and unique methodology for evaluating the similarity among individual activity patterns. It conceptualizes multidimensional sequence alignment (MDSA) as a multiobjective optimization problem, and solves this problem with an evolutionary algorithm. The study utilizes sequence alignment to code multiple facets of human activities into multidimensional sequences, and to treat similarity assessment as a multiobjective optimization problem that aims to minimize the alignment cost for all dimensions simultaneously. A multiobjective optimization evolutionary algorithm (MOEA) is used to generate a diverse set of optimal or near-optimal alignment solutions. Evolutionary operators are specifically designed for this problem, and a local search method also is incorporated to improve the search ability of the algorithm. We demonstrate the effectiveness of our method by comparing it with a popular existing method called ClustalG using a set of 50 sequences. The results indicate that our method outperforms the existing method for most of our selected cases. The multiobjective evolutionary algorithm presented in this paper provides an effective approach for assessing activity pattern similarity, and a foundation for identifying distinctive groups of individuals with similar activity patterns. PMID:26190858

  18. XplorSeq: A software environment for integrated management and phylogenetic analysis of metagenomic sequence data

    PubMed Central

    Frank, Daniel N

    2008-01-01

    Background Advances in automated DNA sequencing technology have accelerated the generation of metagenomic DNA sequences, especially environmental ribosomal RNA gene (rDNA) sequences. As the scale of rDNA-based studies of microbial ecology has expanded, need has arisen for software that is capable of managing, annotating, and analyzing the plethora of diverse data accumulated in these projects. Results XplorSeq is a software package that facilitates the compilation, management and phylogenetic analysis of DNA sequences. XplorSeq was developed for, but is not limited to, high-throughput analysis of environmental rRNA gene sequences. XplorSeq integrates and extends several commonly used UNIX-based analysis tools by use of a Macintosh OS-X-based graphical user interface (GUI). Through this GUI, users may perform basic sequence import and assembly steps (base-calling, vector/primer trimming, contig assembly), perform BLAST (Basic Local Alignment and Search Tool; [1-3]) searches of NCBI and local databases, create multiple sequence alignments, build phylogenetic trees, assemble Operational Taxonomic Units, estimate biodiversity indices, and summarize data in a variety of formats. Furthermore, sequences may be annotated with user-specified meta-data, which then can be used to sort data and organize analyses and reports. A document-based architecture permits parallel analysis of sequence data from multiple clones or amplicons, with sequences and other data stored in a single file. Conclusion XplorSeq should benefit researchers who are engaged in analyses of environmental sequence data, especially those with little experience using bioinformatics software. Although XplorSeq was developed for management of rDNA sequence data, it can be applied to most any sequencing project. The application is available free of charge for non-commercial use at . PMID:18840282

  19. Addressing challenges in the production and analysis of illumina sequencing data.

    PubMed

    Kircher, Martin; Heyn, Patricia; Kelso, Janet

    2011-01-01

    Advances in DNA sequencing technologies have made it possible to generate large amounts of sequence data very rapidly and at substantially lower cost than capillary sequencing. These new technologies have specific characteristics and limitations that require either consideration during project design, or which must be addressed during data analysis. Specialist skills, both at the laboratory and the computational stages of project design and analysis, are crucial to the generation of high quality data from these new platforms. The Illumina sequencers (including the Genome Analyzers I/II/IIe/IIx and the new HiScan and HiSeq) represent a widely used platform providing parallel readout of several hundred million immobilized sequences using fluorescent-dye reversible-terminator chemistry. Sequencing library quality, sample handling, instrument settings and sequencing chemistry have a strong impact on sequencing run quality. The presence of adapter chimeras and adapter sequences at the end of short-insert molecules, as well as increased error rates and short read lengths complicate many computational analyses. We discuss here some of the factors that influence the frequency and severity of these problems and provide solutions for circumventing these. Further, we present a set of general principles for good analysis practice that enable problems with sequencing runs to be identified and dealt with.

  20. FASTAptamer: A Bioinformatic Toolkit for High-throughput Sequence Analysis of Combinatorial Selections

    PubMed Central

    Alam, Khalid K; Chang, Jonathan L; Burke, Donald H

    2015-01-01

    High-throughput sequence (HTS) analysis of combinatorial selection populations accelerates lead discovery and optimization and offers dynamic insight into selection processes. An underlying principle is that selection enriches high-fitness sequences as a fraction of the population, whereas low-fitness sequences are depleted. HTS analysis readily provides the requisite numerical information by tracking the evolutionary trajectory of individual sequences in response to selection pressures. Unlike genomic data, for which a number of software solutions exist, user-friendly tools are not readily available for the combinatorial selections field, leading many users to create custom software. FASTAptamer was designed to address the sequence-level analysis needs of the field. The open source FASTAptamer toolkit counts, normalizes and ranks read counts in a FASTQ file, compares populations for sequence distribution, generates clusters of sequence families, calculates fold-enrichment of sequences throughout the course of a selection and searches for degenerate sequence motifs. While originally designed for aptamer selections, FASTAptamer can be applied to any selection strategy that can utilize next-generation DNA sequencing, such as ribozyme or deoxyribozyme selections, in vivo mutagenesis and various surface display technologies (peptide, antibody fragment, mRNA, etc.). FASTAptamer software, sample data and a user's guide are available for download at http://burkelab.missouri.edu/fastaptamer.html. PMID:25734917

  1. Targeted massively parallel sequencing of angiosarcomas reveals frequent activation of the mitogen activated protein kinase pathway

    PubMed Central

    Murali, Rajmohan; Chandramohan, Raghu; Möller, Inga; Scholz, Simone L.; Berger, Michael; Huberman, Kety; Viale, Agnes; Pirun, Mono; Socci, Nicholas D.; Bouvier, Nancy; Bauer, Sebastian; Artl, Monika; Schilling, Bastian; Schimming, Tobias; Sucker, Antje; Schwindenhammer, Benjamin; Grabellus, Florian; Speicher, Michael R.; Schaller, Jörg; Hillen, Uwe; Schadendorf, Dirk; Mentzel, Thomas; Cheng, Donavan T.; Wiesner, Thomas; Griewank, Klaus G.

    2015-01-01

    Angiosarcomas are rare malignant mesenchymal tumors of endothelial differentiation. The clinical behavior is usually aggressive and the prognosis for patients with advanced disease is poor with no effective therapies. The genetic bases of these tumors have been partially revealed in recent studies reporting genetic alterations such as amplifications of MYC (primarily in radiation-associated angiosarcomas), inactivating mutations in PTPRB and R707Q hotspot mutations of PLCG1. Here, we performed a comprehensive genomic analysis of 34 angiosarcomas using a clinically-approved, hybridization-based targeted next-generation sequencing assay for 341 well-established oncogenes and tumor suppressor genes. Over half of the angiosarcomas (n = 18, 53%) harbored genetic alterations affecting the MAPK pathway, involving mutations in KRAS, HRAS, NRAS, BRAF, MAPK1 and NF1, or amplifications in MAPK1/CRKL, CRAF or BRAF. The most frequently detected genetic aberrations were mutations in TP53 in 12 tumors (35%) and losses of CDKN2A in 9 tumors (26%). MYC amplifications were generally mutually exclusive of TP53 alterations and CDKN2A loss and were identified in 8 tumors (24%), most of which (n = 7, 88%) arose post-irradiation. Previously reported mutations in PTPRB (n = 10, 29%) and one (3%) PLCG1 R707Q mutation were also identified. Our results demonstrate that angiosarcomas are a genetically heterogeneous group of tumors, harboring a wide range of genetic alterations. The high frequency of genetic events affecting the MAPK pathway suggests that targeted therapies inhibiting MAPK signaling may be promising therapeutic avenues in patients with advanced angiosarcomas. PMID:26440310

  2. Determining structure and function of steroid dehydrogenase enzymes by sequence analysis, homology modeling, and rational mutational analysis.

    PubMed

    Duax, William L; Thomas, James; Pletnev, Vladimir; Addlagatta, Anthony; Huether, Robert; Habegger, Lukas; Weeks, Charles M

    2005-12-01

    The short-chain oxidoreductase (SCOR) family of enzymes includes over 6,000 members identified in sequenced genomes. Of these enzymes, approximately 300 have been characterized functionally, and the three-dimensional crystal structures of approximately 40 have been reported. Since some SCOR enzymes are steroid dehydrogenases involved in hypertension, diabetes, breast cancer, and polycystic kidney disease, it is important to characterize the other members of the family for which the biological functions are currently unknown and to determine their three-dimensional structure and mechanism of action. Although the SCOR family appears to have only a single fully conserved residue, it was possible, using bioinformatics methods, to determine characteristic fingerprints composed of 30-40 residues that are conserved at the 70% or greater level in SCOR subgroups. These fingerprints permit reliable prediction of several important structure-function features including cofactor preference, catalytic residues, and substrate specificity. Human type 1 3beta-hydroxysteroid dehydrogenase isomerase (3beta-HSDI) has 30% sequence identity with a human UDP galactose 4-epimerase (UDPGE), a SCOR family enzyme for which an X-ray structure has been reported. Both UDPGE and 3-HSDI appear to trace their origins back to bacterial 3alpha,20beta-HSD. Combining three-dimensional structural information and sequence data on the 3alpha,20beta-HSD, UDPGE, and 3beta-HSDI subfamilies with mutational analysis, we were able to identify the residues critical to the dehydrogenase function of 3-HSDI. We also identified the residues most probably responsible for the isomerase activity of 3beta-HSDI. We test our predictions by specific mutations based on sequence analysis and our structure-based model.

  3. Determining Structure and Function of Steroid Dehydrogenase Enzymes by Sequence Analysis, Homology Modeling, and Rational Mutational Analysis

    PubMed Central

    DUAX, WILLIAM L.; THOMAS, JAMES; PLETNEV, VLADIMIR; ADDLAGATTA, ANTHONY; HUETHER, ROBERT; HABEGGER, LUKAS; WEEKS, CHARLES M.

    2006-01-01

    The short-chain oxidoreductase (SCOR) family of enzymes includes over 6,000 members identified in sequenced genomes. Of these enzymes, ~300 have been characterized functionally, and the three-dimensional crystal structures of ~40 have been reported. Since some SCOR enzymes are steroid dehydrogenases involved in hypertension, diabetes, breast cancer, and polycystic kidney disease, it is important to characterize the other members of the family for which the biological functions are currently unknown and to determine their three-dimensional structure and mechanism of action. Although the SCOR family appears to have only a single fully conserved residue, it was possible, using bioinformatics methods, to determine characteristic fingerprints composed of 30–40 residues that are conserved at the 70% or greater level in SCOR subgroups. These fingerprints permit reliable prediction of several important structure-function features including cofactor preference, catalytic residues, and substrate specificity. Human type 1 3β-hydroxysteroid dehydrogenase isomerase (3β-HSDI) has 30% sequence identity with a human UDP galactose 4-epimerase (UDPGE), a SCOR family enzyme for which an X-ray structure has been reported. Both UDPGE and 3-HSDI appear to trace their origins back to bacterial 3α,20β-HSD. Combining three-dimensional structural information and sequence data on the 3α,20β-HSD, UDPGE, and 3β-HSDI subfamilies with mutational analysis, we were able to identify the residues critical to the dehydrogenase function of 3-HSDI. We also identified the residues most probably responsible for the isomerase activity of 3β-HSDI. We test our predictions by specific mutations based on sequence analysis and our structure-based model. PMID:16467263

  4. Sequence analysis of 203 kilobases from Saccharomyces cerevisiae chromosome VII.

    PubMed

    Rieger, M; Brückner, M; Schäfer, M; Müller-Auer, S

    1997-09-15

    The nucleotide sequences of five major regions from chromosome VII of Saccharomyces cerevisiae have been determined and analysed. These regions represent 203 kilobases corresponding to approximately one-fifth of the complete yeast chromosome VII. Two fragments originate from the left arm of this chromosome. The first one of about 15.8 kb starts approximately 75 kb from the left telomere and is bordered by the SK18 chromosomal marker. The second fragment covers the 72.6 kb region between the chromosomal markers CYH2 and ALG2. On the right chromosomal arm three regions, a 70.6 kb region between the MSB2 and the KSS1 chromosomal markers and two smaller regions dominated by the KRE11 marker and another one in the vicinity of the SER2 marker were sequenced. We found a total of 114 open reading frames (ORFs), 13 of which were completely overlapping with larger ORFs running in the opposite direction. A total of 44 yeast genes, the physiological functions of which are known, could be precisely mapped on this chromosome. Of the remaining 57 ORFs, 26 shared sequence homologies with known genes, among which were 13 other S. cerevisiae genes and five genes from other organisms. No homology with any sequence in the databases could be found for 31 ORFs. Furthermore, five Ty elements were found, one of which may not be functional due to a frame shift in its Ty1B amino acid sequence. The five chromosomal regions harboured five potential ARS elements and one sigma element together with eight tRNA genes and two snRNAs, one of which is encoded by an intron of a protein-coding gene. PMID:9290212

  5. Novel technologies applied to the nucleotide sequencing and comparative sequence analysis of the genomes of infectious agents in veterinary medicine.

    PubMed

    Granberg, F; Bálint, Á; Belák, S

    2016-04-01

    Next-generation sequencing (NGS), also referred to as deep, high-throughput or massively parallel sequencing, is a powerful new tool that can be used for the complex diagnosis and intensive monitoring of infectious disease in veterinary medicine. NGS technologies are also being increasingly used to study the aetiology, genomics, evolution and epidemiology of infectious disease, as well as host-pathogen interactions and other aspects of infection biology. This review briefly summarises recent progress and achievements in this field by first introducing a range of novel techniques and then presenting examples of NGS applications in veterinary infection biology. Various work steps and processes for sampling and sample preparation, sequence analysis and comparative genomics, and improving the accuracy of genomic prediction are discussed, as are bioinformatics requirements. Examples of sequencing-based applications and comparative genomics in veterinary medicine are then provided. This review is based on novel references selected from the literature and on experiences of the World Organisation for Animal Health (OIE) Collaborating Centre for the Biotechnology-based Diagnosis of Infectious Diseases in Veterinary Medicine, Uppsala, Sweden.

  6. Novel technologies applied to the nucleotide sequencing and comparative sequence analysis of the genomes of infectious agents in veterinary medicine.

    PubMed

    Granberg, F; Bálint, Á; Belák, S

    2016-04-01

    Next-generation sequencing (NGS), also referred to as deep, high-throughput or massively parallel sequencing, is a powerful new tool that can be used for the complex diagnosis and intensive monitoring of infectious disease in veterinary medicine. NGS technologies are also being increasingly used to study the aetiology, genomics, evolution and epidemiology of infectious disease, as well as host-pathogen interactions and other aspects of infection biology. This review briefly summarises recent progress and achievements in this field by first introducing a range of novel techniques and then presenting examples of NGS applications in veterinary infection biology. Various work steps and processes for sampling and sample preparation, sequence analysis and comparative genomics, and improving the accuracy of genomic prediction are discussed, as are bioinformatics requirements. Examples of sequencing-based applications and comparative genomics in veterinary medicine are then provided. This review is based on novel references selected from the literature and on experiences of the World Organisation for Animal Health (OIE) Collaborating Centre for the Biotechnology-based Diagnosis of Infectious Diseases in Veterinary Medicine, Uppsala, Sweden. PMID:27217166

  7. Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases.

    PubMed

    Zeil, Catharina; Widmann, Michael; Fademrecht, Silvia; Vogel, Constantin; Pleiss, Jürgen

    2016-05-01

    The Lactamase Engineering Database (www.LacED.uni-stuttgart.de) was developed to facilitate the classification and analysis of TEM β-lactamases. The current version contains 474 TEM variants. Two hundred fifty-nine variants form a large scale-free network of highly connected point mutants. The network was divided into three subnetworks which were enriched by single phenotypes: one network with predominantly 2be and two networks with 2br phenotypes. Fifteen positions were found to be highly variable, contributing to the majority of the observed variants. Since it is expected that a considerable fraction of the theoretical sequence space is functional, the currently sequenced 474 variants represent only the tip of the iceberg of functional TEM β-lactamase variants which form a huge natural reservoir of highly interconnected variants. Almost 50% of the variants are part of a quartet. Thus, two single mutations that result in functional enzymes can be combined into a functional protein. Most of these quartets consist of the same phenotype, or the mutations are additive with respect to the phenotype. By predicting quartets from triplets, 3,916 unknown variants were constructed. Eighty-seven variants complement multiple quartets and therefore have a high probability of being functional. The construction of a TEM β-lactamase network and subsequent analyses by clustering and quartet prediction are valuable tools to gain new insights into the viable sequence space of TEM β-lactamases and to predict their phenotype. The highly connected sequence space of TEM β-lactamases is ideally suited to network analysis and demonstrates the strengths of network analysis over tree reconstruction methods.

  8. The Pollino Seismic Sequence: Activated Graben Structures in a Seismic Gap

    NASA Astrophysics Data System (ADS)

    Rößler, Dirk; Passarelli, Luigi; Govoni, Aladino; Bindi, Dino; Cesca, Simone; Hainzl, Sebatian; Maccaferri, Francesco; Rivalta, Eleonora; Woith, Heiko; Dahm, Torsten

    2015-04-01

    mapped for the area. Consistent with mapped faults, the seismicity interested both eastwards and westwards dipping normal faults that define the geometry of seismically active graben-like structures. At least one cluster shows an additional spatio-temporal migration with spreading hypocentres similar to other swarm areas with fluid-triggering mechanisms. The static Coulomb stress change transferred by the largest shock onto the swarm area and on the CF cannot explain the observed high seismicity rate. We study the evolution of the frequency-size distribution of the events and the seismicity rate changes. We find that the majority of the earthquakes cannot be justified as aftershocks (directly related to the tectonics or to earthquake-earthquake interaction) and are best explained by an additional forcing active over the entire sequence. Our findings are consistent with the action of fluids (e.g. pore-pressure diffusion) triggering seismicity on pre-loaded faults. Additional aseismic release of tectonic strain by transient, slow slip is also consistent with our analysis. Analysis of deformation time series may clarify this point in future studies.

  9. Analysis of Sequences Regulating Larval Expression of the Adh Gene of Drosophila Melanogaster

    PubMed Central

    Shen, NLL.; Hotaling, E. C.; Subrahmanyam, G.; Martin, P. F.; Sofer, W.

    1991-01-01

    The effects of a series of eight, 50 base pair internal deletions in the 5' region upstream of the proximal transcription start site of the Adh gene of Drosophila melanogaster were examined in a quantitative assay. Mixtures of two plasmids, one bearing a deleted gene, the other with an intact reference gene, were injected into alcohol dehydrogenase-negative embryos. Third instar larvae of the injected generation were assayed for relative alcohol dehydrogenase enzyme activity. Quantitative analysis of the eight deletions indicated that two regions were required for any detectable enzyme activity and one region was required for appropriate tissue specificity. The remaining five deletions significantly decreased, but did not eliminate activity. When the deleted genes were placed on a plasmid with an intact reference gene, activities of all but one deletion were restored to levels equivalent to that of the intact reference gene (regardless of orientation). This restoration of activity did not occur when the regulatory region of the intact gene was replaced with the Hsp70 heat shock promoter nor when the 50-base pair deletion encompassed the region that includes the TATA sequence. The fact that seven of the eight deleted genes express activity in the presence of a reference gene on the same plasmid suggests that the deleted gene is controlled by regulatory elements in the reference gene. Further, these regulatory elements exhibit no preference for their own, more proximate, promoter. PMID:1752419

  10. Digital fragment analysis of short tandem repeats by high-throughput amplicon sequencing.

    PubMed

    Darby, Brian J; Erickson, Shay F; Hervey, Samuel D; Ellis-Felege, Susan N

    2016-07-01

    High-throughput sequencing has been proposed as a method to genotype microsatellites and overcome the four main technical drawbacks of capillary electrophoresis: amplification artifacts, imprecise sizing, length homoplasy, and limited multiplex capability. The objective of this project was to test a high-throughput amplicon sequencing approach to fragment analysis of short tandem repeats and characterize its advantages and disadvantages against traditional capillary electrophoresis. We amplified and sequenced 12 muskrat microsatellite loci from 180 muskrat specimens and analyzed the sequencing data for precision of allele calling, propensity for amplification or sequencing artifacts, and for evidence of length homoplasy. Of the 294 total alleles, we detected by sequencing, only 164 alleles would have been detected by capillary electrophoresis as the remaining 130 alleles (44%) would have been hidden by length homoplasy. The ability to detect a greater number of unique alleles resulted in the ability to resolve greater population genetic structure. The primary advantages of fragment analysis by sequencing are the ability to precisely size fragments, resolve length homoplasy, multiplex many individuals and many loci into a single high-throughput run, and compare data across projects and across laboratories (present and future) with minimal technical calibration. A significant disadvantage of fragment analysis by sequencing is that the method is only practical and cost-effective when performed on batches of several hundred samples with multiple loci. Future work is needed to optimize throughput while minimizing costs and to update existing microsatellite allele calling and analysis programs to accommodate sequence-aware microsatellite data. PMID:27386092

  11. Shared Investment Projects and Forecasting Errors: Setting Framework Conditions for Coordination and Sequencing Data Quality Activities

    PubMed Central

    Leitner, Stephan; Brauneis, Alexander; Rausch, Alexandra

    2015-01-01

    In this paper, we investigate the impact of inaccurate forecasting on the coordination of distributed investment decisions. In particular, by setting up a computational multi-agent model of a stylized firm, we investigate the case of investment opportunities that are mutually carried out by organizational departments. The forecasts of concern pertain to the initial amount of money necessary to launch and operate an investment opportunity, to the expected intertemporal distribution of cash flows, and the departments’ efficiency in operating the investment opportunity at hand. We propose a budget allocation mechanism for coordinating such distributed decisions The paper provides guidance on how to set framework conditions, in terms of the number of investment opportunities considered in one round of funding and the number of departments operating one investment opportunity, so that the coordination mechanism is highly robust to forecasting errors. Furthermore, we show that—in some setups—a certain extent of misforecasting is desirable from the firm’s point of view as it supports the achievement of the corporate objective of value maximization. We then address the question of how to improve forecasting quality in the best possible way, and provide policy advice on how to sequence activities for improving forecasting quality so that the robustness of the coordination mechanism to errors increases in the best possible way. At the same time, we show that wrong decisions regarding the sequencing can lead to a decrease in robustness. Finally, we conduct a comprehensive sensitivity analysis and prove that—in particular for relatively good forecasters—most of our results are robust to changes in setting the parameters of our multi-agent simulation model. PMID:25803736

  12. Shared investment projects and forecasting errors: setting framework conditions for coordination and sequencing data quality activities.

    PubMed

    Leitner, Stephan; Brauneis, Alexander; Rausch, Alexandra

    2015-01-01

    In this paper, we investigate the impact of inaccurate forecasting on the coordination of distributed investment decisions. In particular, by setting up a computational multi-agent model of a stylized firm, we investigate the case of investment opportunities that are mutually carried out by organizational departments. The forecasts of concern pertain to the initial amount of money necessary to launch and operate an investment opportunity, to the expected intertemporal distribution of cash flows, and the departments' efficiency in operating the investment opportunity at hand. We propose a budget allocation mechanism for coordinating such distributed decisions The paper provides guidance on how to set framework conditions, in terms of the number of investment opportunities considered in one round of funding and the number of departments operating one investment opportunity, so that the coordination mechanism is highly robust to forecasting errors. Furthermore, we show that-in some setups-a certain extent of misforecasting is desirable from the firm's point of view as it supports the achievement of the corporate objective of value maximization. We then address the question of how to improve forecasting quality in the best possible way, and provide policy advice on how to sequence activities for improving forecasting quality so that the robustness of the coordination mechanism to errors increases in the best possible way. At the same time, we show that wrong decisions regarding the sequencing can lead to a decrease in robustness. Finally, we conduct a comprehensive sensitivity analysis and prove that-in particular for relatively good forecasters-most of our results are robust to changes in setting the parameters of our multi-agent simulation model. PMID:25803736

  13. Shared investment projects and forecasting errors: setting framework conditions for coordination and sequencing data quality activities.

    PubMed

    Leitner, Stephan; Brauneis, Alexander; Rausch, Alexandra

    2015-01-01

    In this paper, we investigate the impact of inaccurate forecasting on the coordination of distributed investment decisions. In particular, by setting up a computational multi-agent model of a stylized firm, we investigate the case of investment opportunities that are mutually carried out by organizational departments. The forecasts of concern pertain to the initial amount of money necessary to launch and operate an investment opportunity, to the expected intertemporal distribution of cash flows, and the departments' efficiency in operating the investment opportunity at hand. We propose a budget allocation mechanism for coordinating such distributed decisions The paper provides guidance on how to set framework conditions, in terms of the number of investment opportunities considered in one round of funding and the number of departments operating one investment opportunity, so that the coordination mechanism is highly robust to forecasting errors. Furthermore, we show that-in some setups-a certain extent of misforecasting is desirable from the firm's point of view as it supports the achievement of the corporate objective of value maximization. We then address the question of how to improve forecasting quality in the best possible way, and provide policy advice on how to sequence activities for improving forecasting quality so that the robustness of the coordination mechanism to errors increases in the best possible way. At the same time, we show that wrong decisions regarding the sequencing can lead to a decrease in robustness. Finally, we conduct a comprehensive sensitivity analysis and prove that-in particular for relatively good forecasters-most of our results are robust to changes in setting the parameters of our multi-agent simulation model.

  14. Gardnerella vaginalis Subgroups Defined by cpn60 Sequencing and Sialidase Activity in Isolates from Canada, Belgium and Kenya.

    PubMed

    Schellenberg, John J; Paramel Jayaprakash, Teenus; Withana Gamage, Niradha; Patterson, Mo H; Vaneechoutte, Mario; Hill, Janet E

    2016-01-01

    Increased abundance of Gardnerella vaginalis and sialidase activity in vaginal fluid is associated with bacterial vaginosis (BV), a common but poorly understood clinical entity associated with poor reproductive health outcomes. Since most women are colonized with G. vaginalis, its status as a normal member of the vaginal microbiota or pathogen causing BV remains controversial, and numerous classification schemes have been described. Since 2005, sequencing of the chaperonin-60 universal target (cpn60 UT) has distinguished four subgroups in isolate collections, clone libraries and deep sequencing datasets. To clarify potential clinical and diagnostic significance of cpn60 subgroups, we undertook phenotypic and molecular characterization of 112 G. vaginalis isolates from three continents. A total of 36 subgroup A, 33 B, 35 C and 8 D isolates were identified through phylogenetic analysis of cpn60 sequences as corresponding to four "clades" identified in a recently published study, based on sequencing 473 genes across 17 isolates. cpn60 subgroups were compared with other previously described molecular methods for classification of Gardnerella subgroups, including amplified ribosomal DNA restriction analysis (ARDRA) and real-time PCR assays designed to quantify subgroups in vaginal samples. Although two ARDRA patterns were observed in isolates, each was observed in three cpn60 subgroups (A/B/D and B/C/D). Real-time PCR assays corroborated cpn60 subgroups overall, but 13 isolates from subgroups A, B and D were negative in all assays. A putative sialidase gene was detected in all subgroup B, C and D isolates, but only in a single subgroup A isolate. In contrast, sialidase activity was observed in all subgroup B isolates, 3 (9%) subgroup C isolates and no subgroup A or D isolates. These observations suggest distinct roles for G. vaginalis subgroups in BV pathogenesis. We conclude that cpn60 UT sequencing is a robust approach for defining G. vaginalis subgroups within the

  15. Gardnerella vaginalis Subgroups Defined by cpn60 Sequencing and Sialidase Activity in Isolates from Canada, Belgium and Kenya

    PubMed Central

    Schellenberg, John J.; Paramel Jayaprakash, Teenus; Withana Gamage, Niradha; Patterson, Mo H.; Vaneechoutte, Mario; Hill, Janet E.

    2016-01-01

    Increased abundance of Gardnerella vaginalis and sialidase activity in vaginal fluid is associated with bacterial vaginosis (BV), a common but poorly understood clinical entity associated with poor reproductive health outcomes. Since most women are colonized with G. vaginalis, its status as a normal member of the vaginal microbiota or pathogen causing BV remains controversial, and numerous classification schemes have been described. Since 2005, sequencing of the chaperonin-60 universal target (cpn60 UT) has distinguished four subgroups in isolate collections, clone libraries and deep sequencing datasets. To clarify potential clinical and diagnostic significance of cpn60 subgroups, we undertook phenotypic and molecular characterization of 112 G. vaginalis isolates from three continents. A total of 36 subgroup A, 33 B, 35 C and 8 D isolates were identified through phylogenetic analysis of cpn60 sequences as corresponding to four “clades” identified in a recently published study, based on sequencing 473 genes across 17 isolates. cpn60 subgroups were compared with other previously described molecular methods for classification of Gardnerella subgroups, including amplified ribosomal DNA restriction analysis (ARDRA) and real-time PCR assays designed to quantify subgroups in vaginal samples. Although two ARDRA patterns were observed in isolates, each was observed in three cpn60 subgroups (A/B/D and B/C/D). Real-time PCR assays corroborated cpn60 subgroups overall, but 13 isolates from subgroups A, B and D were negative in all assays. A putative sialidase gene was detected in all subgroup B, C and D isolates, but only in a single subgroup A isolate. In contrast, sialidase activity was observed in all subgroup B isolates, 3 (9%) subgroup C isolates and no subgroup A or D isolates. These observations suggest distinct roles for G. vaginalis subgroups in BV pathogenesis. We conclude that cpn60 UT sequencing is a robust approach for defining G. vaginalis subgroups within

  16. Active populations of rare microbes in oceanic environments as revealed by bromodeoxyuridine incorporation and 454 tag sequencing.

    PubMed

    Hamasaki, Koji; Taniguchi, Akito; Tada, Yuya; Kaneko, Ryo; Miki, Takeshi

    2016-02-01

    The "rare biosphere" consisting of thousands of low-abundance microbial taxa is important as a seed bank or a gene pool to maintain microbial functional redundancy and robustness of the ecosystem. Here we investigated contemporaneous growth of diverse microbial taxa including rare taxa and determined their variability in environmentally distinctive locations along a north-south transect in the Pacific Ocean in order to assess which taxa were actively growing and how environmental factors influenced bacterial community structures. A bromodeoxyuridine-labeling technique in combination with PCR amplicon pyrosequencing of 16S rRNA genes gave 215-793 OTUs from 1200 to 3500 unique sequences in the total communities and 175-299 OTUs nearly 860 to 1800 sequences in the active communities. Unexpectedly, many of the active OTUs were not detected in the total fractions. Among these active but rare OTUs, some taxa (2-4% of rare OTUs) showed much higher abundance (>0.10% of total reads) in the active fraction than in the total fraction, suggesting that their contribution to bacterial community productivity or growth was much larger than that expected from their standing stocks at each location. An ordination plot by the principal component analysis presented that bacterial community compositions among 4 sampling locations and between total and active fractions were distinctive with each other. A redundancy analysis revealed that the variability of community compositions significantly correlated to seawater temperature and dissolved oxygen concentration. Also, a variation partitioning analysis showed that the environmental factors explained 49% of the variability of community compositions and the distance only explained 4.0% of its variability. These results implied very dynamic change of community structures due to environmental filtering. The active bacterial populations are more diverse and spread further in rare biosphere than we have ever seen. This study implied that rare

  17. Active populations of rare microbes in oceanic environments as revealed by bromodeoxyuridine incorporation and 454 tag sequencing.

    PubMed

    Hamasaki, Koji; Taniguchi, Akito; Tada, Yuya; Kaneko, Ryo; Miki, Takeshi

    2016-02-01

    The "rare biosphere" consisting of thousands of low-abundance microbial taxa is important as a seed bank or a gene pool to maintain microbial functional redundancy and robustness of the ecosystem. Here we investigated contemporaneous growth of diverse microbial taxa including rare taxa and determined their variability in environmentally distinctive locations along a north-south transect in the Pacific Ocean in order to assess which taxa were actively growing and how environmental factors influenced bacterial community structures. A bromodeoxyuridine-labeling technique in combination with PCR amplicon pyrosequencing of 16S rRNA genes gave 215-793 OTUs from 1200 to 3500 unique sequences in the total communities and 175-299 OTUs nearly 860 to 1800 sequences in the active communities. Unexpectedly, many of the active OTUs were not detected in the total fractions. Among these active but rare OTUs, some taxa (2-4% of rare OTUs) showed much higher abundance (>0.10% of total reads) in the active fraction than in the total fraction, suggesting that their contribution to bacterial community productivity or growth was much larger than that expected from their standing stocks at each location. An ordination plot by the principal component analysis presented that bacterial community compositions among 4 sampling locations and between total and active fractions were distinctive with each other. A redundancy analysis revealed that the variability of community compositions significantly correlated to seawater temperature and dissolved oxygen concentration. Also, a variation partitioning analysis showed that the environmental factors explained 49% of the variability of community compositions and the distance only explained 4.0% of its variability. These results implied very dynamic change of community structures due to environmental filtering. The active bacterial populations are more diverse and spread further in rare biosphere than we have ever seen. This study implied that rare

  18. K-mer natural vector and its application to the phylogenetic analysis of genetic sequences

    PubMed Central

    Wen, Jia; Chan, Raymond H.; Yau, Shek-Chung; He, Rong L.; Yau, Stephen S. T.

    2014-01-01

    Based on the well-known k-mer model, we propose a k-mer natural vector model for representing a genetic sequence based on the numbers and distributions of k-mers in the sequence. We show that there exists a one-to-one correspondence between a genetic sequence and its associated k-mer natural vector. The k-mer natural vector method can be easily and quickly used to perform phylogenetic analysis of genetic sequences without requiring evolutionary models or human intervention. Whole or partial genomes can be handled more effective with our proposed method. It is applied to the phylogenetic analysis of genetic sequences, and the obtaining results fully demonstrate that the k-mer natural vector method is a very powerful tool for analysing and annotating genetic sequences and determining evolutionary relationships both in terms of accuracy and efficiency. PMID:24858075

  19. Computational methods for the analysis of tag sequences in metagenomics studies.

    PubMed

    Chang, Qin; Luan, Yihui; Chen, Ting; Fuhrman, Jed A; Sun, Fengzhu

    2012-06-01

    Metagenomics commonly refers to the study of genetic materials directly derived from environments without culturing. Several ongoing large-scale metagenomics projects related to human and marine life, as well as pedology studies, have generated enormous amounts of data, posing a key challenge for efficient analysis, as we try to 1) understand microbial organism assemblage under different conditions, 2) compare different communities, and 3) understand how microbial organisms associate with each other and the environment.To address such questions, investigators are using new sequencing technologies, including Sanger, Illumina Solexa, and Roche 454, to sequence either particular genes, called tag sequences, mostly 16S or 18S ribosomal RNA sequences or other conserved genes, or whole metagenome shotgun sequences of all the genetic materials in a given community. In this paper, we review computational methods used for the analysis of tag sequences.

  20. US--ITER activation analysis

    SciTech Connect

    Attaya, H.; Gohar, Y.; Smith, D.

    1990-09-01

    Activation analysis has been made for the US ITER design. The radioactivity and the decay heat have been calculated, during operation and after shutdown for the two ITER phases, the Physics Phase and the Technology Phase. The Physics Phase operates about 24 full power days (FPDs) at fusion power level of 1100 MW and the Technology Phase has 860 MW fusion power and operates for about 1360 FPDs. The point-wise gamma sources have been calculated everywhere in the reactor at several times after shutdown of the two phases and are then used to calculate the biological dose everywhere in the reactor. Activation calculations have been made also for ITER divertor. The results are presented for different continuous operation times and for only one pulse. The effect of the pulsed operation on the radioactivity is analyzed. 6 refs., 12 figs., 1 tab.

  1. Prompt-gamma activation analysis

    SciTech Connect

    Lindstrom, R.M.

    1993-01-01

    A permenent, full-time instrument for prompt-gamma activation analysis is nearing completion as part of the Cold Neutron Research Facility (CNRF). The design of the analytical system has been optimized for high gamma detection efficiency and low background, particularly for hydrogen. Because of the purity of the neutron beam, shielding requirements are modest and the scatter-capture background is low. As a result of a compact sample-detector geometry, the sensitivity (counting rate per gram of analyte) is a factor of four better than the existing Maryland-NIST thermal-neutron instrument at the reactor. Hydrogen backgrounds of a few micrograms have already been achieved, which promises to be of value in numerous applications where quantitative nondestructive analysis of small quantities of hydrogen in materials is necessary.

  2. Sequence analysis of two novel HLA-DMA alleles

    SciTech Connect

    Carrington, M.; Harding, A.

    1994-12-31

    Several novel genes have been mapped recently in the HLA class II region between DQ and DP. Two of these genes, DMA and DMB, are predicted to encode a protein which has a structure similar to that of the DR, DQ, and DP molecules. The function of the DM molecule, however, is unlikely to mimic precisely that of the other class II molecules, since they share a low level of similarity and both DMA and DMB have limited polymorphism. Based on sequences from the third exon, four alleles of DMB and two alleles of DMA were previously characterized. Single-strand conformation polymorphism (SSCP) patterns of amplified DMA exon 3 products indicated the existence of two additional DMA alleles, which were subsequently sequenced and are now reported here. 4 refs., 2 figs.

  3. The sequence and analysis of duplication rich human chromosome 16

    SciTech Connect

    Martin, J; Han, C; Gordon, L A; Terry, A; Prabhakar, S; She, X; Xie, G; Hellsten, U; Chan, Y M; Altherr, M; Couronne, O; Aerts, A; Bajorek, E; Black, S; Blumer, H; Branscomb, E; Brown, N; Bruno, W J; Buckingham, J; Callen, D F; Campbell, C S; Campbell, M L; Campbell, E W; Caoile, C; Challacombe, J F; Chasteen, L A; Chertkov, O; Chi, H C; Christensen, M; Clark, L M; Cohn, J D; Denys, M; Detter, J C; Dickson, M; Dimitrijevic-Bussod, M; Escobar, J; Fawcett, J J; Flowers, D; Fotopulos, D; Glavina, T; Gomez, M; Gonzales, E; Goodstein, D; Goodwin, L A; Grady, D L; Grigoriev, I; Groza, M; Hammon, N; Hawkins, T; Haydu, L; Hildebrand, C E; Huang, W; Israni, S; Jett, J; Jewett, P B; Kadner, K; Kimball, H; Kobayashi, A; Krawczyk, M; Leyba, T; Longmire, J L; Lopez, F; Lou, Y; Lowry, S; Ludeman, T; Manohar, C F; Mark, G A; McMurray, K L; Meincke, L J; Morgan, J; Moyzis, R K; Mundt, M O; Munk, A C; Nandkeshwar, R D; Pitluck, S; Pollard, M; Predki, P; Parson-Quintana, B; Ramirez, L; Rash, S; Retterer, J; Ricke, D O; Robinson, D; Rodriguez, A; Salamov, A; Saunders, E H; Scott, D; Shough, T; Stallings, R L; Stalvey, M; Sutherland, R D; Tapia, R; Tesmer, J G; Thayer, N; Thompson, L S; Tice, H; Torney, D C; Tran-Gyamfi, M; Tsai, M; Ulanovsky, L E; Ustaszewska, A; Vo, N; White, P S; Williams, A L; Wills, P L; Wu, J; Wu, K; Yang, J; DeJong, P; Bruce, D; Doggett, N A; Deaven, L; Schmutz, J; Grimwood, J; Richardson, P; Rokhsar, D S; Eichler, E E; Gilna, P; Lucas, S M; Myers, R M; Rubin, E M; Pennacchio, L A

    2005-04-06

    Human chromosome 16 features one of the highest levels of segmentally duplicated sequence among the human autosomes. We report here the 78,884,754 base pairs of finished chromosome 16 sequence, representing over 99.9% of its euchromatin. Manual annotation revealed 880 protein-coding genes confirmed by 1,637 aligned transcripts, 19 tRNA genes, 341 pseudogenes, and 3 RNA pseudogenes. These genes include metallothionein, cadherin, and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukemia. Several large-scale structural polymorphisms spanning hundreds of kilobase pairs were identified and result in gene content differences among humans. While the segmental duplications of chromosome 16 are enriched in the relatively gene poor pericentromere of the p-arm, some are involved in recent gene duplication and conversion events likely to have had an impact on the evolution of primates and human disease susceptibility.

  4. Drug resistance analysis by next generation sequencing in Leishmania

    PubMed Central

    Leprohon, Philippe; Fernandez-Prada, Christopher; Gazanion, Élodie; Monte-Neto, Rubens; Ouellette, Marc

    2014-01-01

    The use of next generation sequencing has the power to expedite the identification of drug resistance determinants and biomarkers and was applied successfully to drug resistance studies in Leishmania. This allowed the identification of modulation in gene expression, gene dosage alterations, changes in chromosome copy numbers and single nucleotide polymorphisms that correlated with resistance in Leishmania strains derived from the laboratory and from the field. An impressive heterogeneity at the population level was also observed, individual clones within populations often differing in both genotypes and phenotypes, hence complicating the elucidation of resistance mechanisms. This review summarizes the most recent highlights that whole genome sequencing brought to our understanding of Leishmania drug resistance and likely new directions. PMID:25941624

  5. mitoSAVE: mitochondrial sequence analysis of variants in Excel.

    PubMed

    King, Jonathan L; Sajantila, Antti; Budowle, Bruce

    2014-09-01

    The mitochondrial genome (mtGenome) contains genetic information amenable to numerous applications such as medical research, population and evolutionary studies, and human identity testing. However, inconsistent nomenclature assignment makes haplotype comparison difficult and can lead to false exclusion of potentially useful profiles. Massively Parallel Sequencing (MPS) is a platform for sequencing large datasets and potentially whole populations with relative ease. However, the data generated are not easily parsed and interpreted. With this in mind, mitoSAVE has been developed to enable fast conversion of Variant Call Format (VCF) files. mitoSAVE is an Excel-based workbook that converts data within the VCF into mtDNA haplotypes using phylogenetically-established nomenclature as well as rule-based alignments consistent with current forensic standards. mitoSAVE is formatted for human mitochondrial genome; however, it can easily be adapted to support other reasonably small genomes.

  6. The DNA Sequence And Comparative Analysis Of Human Chromosome5

    SciTech Connect

    Schmutz, Jeremy; Martin, Joel; Terry, Astrid; Couronne, Olivier; Grimwood, Jane; Lowry, Steve; Gordon, Laurie A.; Scott, Duncan; Xie,Gary; Huang, Wayne; Hellsten, Uffe; Tran-Gyamfi, Mary; She, Xinwei; Prabhakar, Shyam; Aerts, Andrea; Altherr, Michael; Bajorek, Eva; Black,Stacey; Branscomb, Elbert; Caoile, Chenier; Challacombe, Jean F.; Chan,Yee Man; Denys, Mirian; Detter, John C.; Escobar, Julio; Flowers, Dave; Fotopulos, Dea; Glavina, Tijana; Gomez, Maria; Gonzales, Eidelyn; Goodstein, David; Grigoriev, Igor; Groza, Matthew; Hammon, Nancy; Hawkins, Trevor; Haydu, Lauren; Israni, Sanjay; Jett, Jamie; Kadner,Kristen; Kimball, Heather; Kobayashi, Arthur; Lopez, Frederick; Lou,Yunian; Martinez, Diego; Medina, Catherine; Morgan, Jenna; Nandkeshwar,Richard; Noonan, James P.; Pitluck, Sam; Pollard, Martin; Predki, Paul; Priest, James; Ramirez, Lucia; Retterer, James; Rodriguez, Alex; Rogers,Stephanie; Salamov, Asaf; Salazar, Angelica; Thayer, Nina; Tice, Hope; Tsai, Ming; Ustaszewska, Anna; Vo, Nu; Wheeler, Jeremy; Wu, Kevin; Yang,Joan; Dickson, Mark; Cheng, Jan-Fang; Eichler, Evan E.; Olsen, Anne; Pennacchio, Len A.; Rokhsar, Daniel S.; Richardson, Paul; Lucas, SusanM.; Myers, Richard M.; Rubin, Edward M.

    2004-08-01

    Chromosome 5 is one of the largest human chromosomes and contains numerous intrachromosomal duplications, yet it has one of the lowest gene densities. This is partially explained by numerous gene-poor regions that display a remarkable degree of noncoding conservation with non-mammalian vertebrates, suggesting that they are functionally constrained. In total, we compiled 177.7 million base pairs of highly accurate finished sequence containing 923 manually curated protein-coding genes including the protocadherin and interleukin gene families. We also completely sequenced versions of the large chromosome-5-specific internal duplications. These duplications are very recent evolutionary events and probably have a mechanistic role in human physiological variation, as deletions in these regions are the cause of debilitating disorders including spinal muscular atrophy.

  7. Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

    PubMed Central

    Yang, In Seok

    2015-01-01

    RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification. PMID:26865842

  8. Sequence analysis and structural implications of rotavirus capsid proteins.

    PubMed

    Parbhoo, N; Dewar, J B; Gildenhuys, S

    2016-01-01

    Rotavirus is the major cause of severe virus-associated gastroenteritis worldwide in children aged 5 and younger. Many children lose their lives annually due to this infection and the impact is particularly pronounced in developing countries. The mature rotavirus is a non-enveloped triple-layered nucleocapsid containing 11 double stranded RNA segments. Here a global view on the sequence and structure of the three main capsid proteins, VP2, VP6 and VP7 is shown by generating a consensus sequence for each of these rotavirus proteins, for each species obtained from published data of representative rotavirus genotypes from across the world and across species. Degree of conservation between species was represented on homology models for each of the proteins. VP7 shows the highest level of variation with 14-45 amino acids showing conservation of less than 60%. These changes are localised to the outer surface alluding to a possible mechanism in evading the immune system. The middle layer, VP6 shows lower variability with only 14-32 sites having lower than 70% conservation. The inner structural layer made up of VP2 showed the lowest variability with only 1-16 sites having less than 70% conservation across species. The results correlate with each protein's multiple structural roles in the infection cycle. Thus, although the nucleotide sequences vary due to the error-prone nature of replication and lack of proof reading, the corresponding amino acid sequence of VP2, 6 and 7 remain relatively conserved. Benefits of this knowledge about the conservation include the ability to target proteins at sites that cannot undergo mutational changes without influencing viral fitness; as well as possibility to study systems that are highly evolved for structure and function in order to determine how to generate and manipulate such systems for use in various biotechnological applications. PMID:27640436

  9. Sequence comparison, molecular modeling, and network analysis predict structural diversity in cysteine proteases from the Cape sundew, Drosera capensis.

    PubMed

    Butts, Carter T; Zhang, Xuhong; Kelly, John E; Roskamp, Kyle W; Unhelkar, Megha H; Freites, J Alfredo; Tahir, Seemal; Martin, Rachel W

    2016-01-01

    Carnivorous plants represent a so far underexploited reservoir of novel proteases with potentially useful activities. Here we investigate 44 cysteine proteases from the Cape sundew, Drosera capensis, predicted from genomic DNA sequences. D. capensis has a large number of cysteine protease genes; analysis of their sequences reveals homologs of known plant proteases, some of which are predicted to have novel properties. Many functionally significant sequence and structural features are observed, including targeting signals and occluding loops. Several of the proteases contain a new type of granulin domain. Although active site residues are conserved, the sequence identity of these proteases to known proteins is moderate to low; therefore, comparative modeling with all-atom refinement and subsequent atomistic MD-simulation is used to predict their 3D structures. The structure prediction data, as well as analysis of protein structure networks, suggest multifarious variations on the papain-like cysteine protease structural theme. This in silico methodology provides a general framework for investigating a large pool of sequences that are potentially useful for biotechnology applications, enabling informed choices about which proteins to investigate in the laboratory. PMID:27471585

  10. Molecular Identification of Two Strains of Phellinus sp. by Internal Transcribed Spacer Sequence Analysis

    PubMed Central

    2011-01-01

    Two species of cultivated Phellinus sp. were identified as P. baumii by internal transcribed spacer (ITS) sequence analysis. The fruit bodies of the examined strains were similar to those of naturally occurring strains, having a bracket-like form, yellow-to-orange color, and poroid hymenial surfaces. The DNA sequences of ITS region of both strains showed a homology of 99% with ITS1 to ITS2 sequences of P. (Inonotus) baumii strain PB0806. PMID:22783119

  11. ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments.

    PubMed

    Schwarz, Roland F; Tamuri, Asif U; Kultys, Marek; King, James; Godwin, James; Florescu, Ana M; Schultz, Jörg; Goldman, Nick

    2016-05-01

    Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles). PMID:26819408

  12. ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments.

    PubMed

    Schwarz, Roland F; Tamuri, Asif U; Kultys, Marek; King, James; Godwin, James; Florescu, Ana M; Schultz, Jörg; Goldman, Nick

    2016-05-01

    Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles).

  13. ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments

    PubMed Central

    Schwarz, Roland F.; Tamuri, Asif U.; Kultys, Marek; King, James; Godwin, James; Florescu, Ana M.; Schultz, Jörg; Goldman, Nick

    2016-01-01

    Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles). PMID:26819408

  14. Analysis of xylem formation in pine by cDNA sequencing

    NASA Technical Reports Server (NTRS)

    Allona, I.; Quinn, M.; Shoop, E.; Swope, K.; St Cyr, S.; Carlis, J.; Riedl, J.; Retzel, E.; Campbell, M. M.; Sederoff, R.; Whetten, R. W.; Davies, E. (Principal Investigator)

    1998-01-01

    Secondary xylem (wood) formation is likely to involve some genes expressed rarely or not at all in herbaceous plants. Moreover, environmental and developmental stimuli influence secondary xylem differentiation, producing morphological and chemical changes in wood. To increase our understanding of xylem formation, and to provide material for comparative analysis of gymnosperm and angiosperm sequences, ESTs were obtained from immature xylem of loblolly pine (Pinus taeda L.). A total of 1,097 single-pass sequences were obtained from 5' ends of cDNAs made from gravistimulated tissue from bent trees. Cluster analysis detected 107 groups of similar sequences, ranging in size from 2 to 20 sequences. A total of 361 sequences fell into these groups, whereas 736 sequences were unique. About 55% of the pine EST sequences show similarity to previously described sequences in public databases. About 10% of the recognized genes encode factors involved in cell wall formation. Sequences similar to cell wall proteins, most known lignin biosynthetic enzymes, and several enzymes of carbohydrate metabolism were found. A number of putative regulatory proteins also are represented. Expression patterns of several of these genes were studied in various tissues and organs of pine. Sequencing novel genes expressed during xylem formation will provide a powerful means of identifying mechanisms controlling this important differentiation pathway.

  15. Genome sequence of Wickerhamomyces anomalus DSM 6766 reveals genetic basis of biotechnologically important antimicrobial activities.

    PubMed

    Schneider, Jessica; Rupp, Oliver; Trost, Eva; Jaenicke, Sebastian; Passoth, Volkmar; Goesmann, Alexander; Tauch, Andreas; Brinkrolf, Karina

    2012-05-01

    The ascomycetous yeast Wickerhamomyces anomalus (formerly Pichia anomala and Hansenula anomala) exhibits antimicrobial activities and flavoring features that are responsible for its frequent association with food, beverage and feed products. However, limited information on the genetic background of this yeast and its multiple capabilities are currently available. Here, we present the draft genome sequence of the neotype strain W. anomalus DSM 6766. On the basis of pyrosequencing, a de novo assembly of this strain resulted in a draft genome sequence with a total size of 25.47 Mbp. An automatic annotation using RAPYD generated 11 512 protein-coding sequences. This annotation provided the basis to analyse metabolic capabilities, phylogenetic relationships, as well as biotechnologically important features and yielded novel candidate genes of W. anomalus DSM 6766 coding for proteins participating in antimicrobial activities. PMID:22292503

  16. Sequencing of Aspergillus nidulans and comparative analysis with A. fumigatus and A. oryzae.

    PubMed

    Galagan, James E; Calvo, Sarah E; Cuomo, Christina; Ma, Li-Jun; Wortman, Jennifer R; Batzoglou, Serafim; Lee, Su-In; Baştürkmen, Meray; Spevak, Christina C; Clutterbuck, John; Kapitonov, Vladimir; Jurka, Jerzy; Scazzocchio, Claudio; Farman, Mark; Butler, Jonathan; Purcell, Seth; Harris, Steve; Braus, Gerhard H; Draht, Oliver; Busch, Silke; D'Enfert, Christophe; Bouchier, Christiane; Goldman, Gustavo H; Bell-Pedersen, Deborah; Griffiths-Jones, Sam; Doonan, John H; Yu, Jaehyuk; Vienken, Kay; Pain, Arnab; Freitag, Michael; Selker, Eric U; Archer, David B; Peñalva, Miguel A; Oakley, Berl R; Momany, Michelle; Tanaka, Toshihiro; Kumagai, Toshitaka; Asai, Kiyoshi; Machida, Masayuki; Nierman, William C; Denning, David W; Caddick, Mark; Hynes, Michael; Paoletti, Mathieu; Fischer, Reinhard; Miller, Bruce; Dyer, Paul; Sachs, Matthew S; Osmani, Stephen A; Birren, Bruce W

    2005-12-22

    The aspergilli comprise a diverse group of filamentous fungi spanning over 200 million years of evolution. Here we report the genome sequence of the model organism Aspergillus nidulans, and a comparative study with Aspergillus fumigatus, a serious human pathogen, and Aspergillus oryzae, used in the production of sake, miso and soy sauce. Our analysis of genome structure provided a quantitative evaluation of forces driving long-term eukaryotic genome evolution. It also led to an experimentally validated model of mating-type locus evolution, suggesting the potential for sexual reproduction in A. fumigatus and A. oryzae. Our analysis of sequence conservation revealed over 5,000 non-coding regions actively conserved across all three species. Within these regions, we identified potential functional elements including a previously uncharacterized TPP riboswitch and motifs suggesting regulation in filamentous fungi by Puf family genes. We further obtained comparative and experimental evidence indicating widespread translational regulation by upstream open reading frames. These results enhance our understanding of these widely studied fungi as well as provide new insight into eukaryotic genome evolution and gene regulation. PMID:16372000

  17. DNA sequences that activate isocitrate lyase gene expression during late embryogenesis and during postgerminative growth.

    PubMed Central

    Zhang, J Z; Santes, C M; Engel, M L; Gasser, C S; Harada, J J

    1996-01-01

    We analyzed DNA sequences that regulate the expression of an isocitrate lyase gene from Brassica napus L. during late embryogenesis and during postgerminative growth to determine whether glyoxysomal function is induced by a common mechanism at different developmental stages. beta-Glucuronidase constructs were used both in transient expression assays in B. napus and in transgenic Arabidopsis thaliana to identify the segments of the isocitrate lyase 5' flanking region that influence promoter activity. DNA sequences that play the principal role in activating the promoter during post-germinative growth are located more than 1,200 bp upstream of the gene. Distinct DNA sequences that were sufficient for high-level expression during late embryogenesis but only low-level expression during postgerminative growth were also identified. Other parts of the 5' flanking region increased promoter activity both in developing seed and in seedlings. We conclude that a combination of elements is involved in regulating the isocitrate lyase gene and that distinct DNA sequences play primary roles in activating the gene in embryos and in seedlings. These findings suggest that different signals contribute to the induction of glyoxysomal function during these two developmental stages. We also showed that some of the constructs were expressed differently in transient expression assays and in transgenic plants. PMID:8934622

  18. Object relations theory and activity theory: a proposed link by way of the procedural sequence model.

    PubMed

    Ryle, A

    1991-12-01

    An account of object relations theory (ORT), represented in terms of the procedural sequence model (PSM), is compared to the ideas of Vygotsky and activity theory (AT). The two models are seen to be compatible and complementary and their combination offers a satisfactory account of human psychology, appropriate for the understanding and integration of psychotherapy. PMID:1786224

  19. Functional Brain Activation Differences in Stuttering Identified with a Rapid fMRI Sequence

    ERIC Educational Resources Information Center

    Loucks, Torrey; Kraft, Shelly Jo; Choo, Ai Leen; Sharma, Harish; Ambrose, Nicoline G.

    2011-01-01

    The purpose of this study was to investigate whether brain activity related to the presence of stuttering can be identified with rapid functional MRI (fMRI) sequences that involved overt and covert speech processing tasks. The long-term goal is to develop sensitive fMRI approaches with developmentally appropriate tasks to identify deviant speech…

  20. Sequence analysis of frog alpha B-crystallin cDNA: sequence homology and evolutionary comparison of alpha A, alpha B and heat shock proteins.

    PubMed

    Lu, S F; Pan, F M; Chiou, S H

    1995-11-22

    alpha-Crystallin is a major lens protein present in the lenses of all vertebrate species. Recent studies have revealed that bovine alpha-crystallins possess genuine chaperone activity similar to small heat-shock proteins. In order to facilitate the determination of the primary sequence of amphibian alpha B-crystallin, cDNA encoding alpha B subunit chain was amplified using a new "Rapid Amplification of cDNA Ends" (RACE) protocol of Polymerase Chain Reaction (PCR). PCR-amplified product corresponding to alpha B subunit was then subcloned into pUC18 vector and transformed into E. coli strain JM109. Plasmids purified from the positive clones were prepared for nucleotide sequencing by the automatic fluorescence-based dideoxynucleotide chain-termination method. Sequencing more than five clones containing DNA inserts coding for alpha B-crystallin subunit constructed only one complete full-length reading frame of 522 base pairs similar to that of alpha A subunit, covering a deduced protein sequence of 173 amino acids including the universal translation-initiating methionine. The frog alpha B crystallin shows 69, 66 and 56% whereas alpha A crystallin shows 83, 81 and 69% sequence similarity to the homologous chains of bovine, chicken and dogfish, respectively, revealing a more divergent structural relationship among these alpha B subunits as compared to alpha A subunits. Structural analysis and comparison of alpha A- and alpha B-crystallin subunits from eye lenses of different classes of vertebrates also shed some light on the evolutionary relatedness between alpha B/alpha A crystallins and the small heat-shock proteins.

  1. Sequence and structural analysis of BTB domain proteins

    PubMed Central

    Stogios, Peter J; Downs, Gregory S; Jauhal, Jimmy JS; Nandra, Sukhjeen K; Privé, Gilbert G

    2005-01-01

    Background The BTB domain (also known as the POZ domain) is a versatile protein-protein interaction motif that participates in a wide range of cellular functions, including transcriptional regulation, cytoskeleton dynamics, ion channel assembly and gating, and targeting proteins for ubiquitination. Several BTB domain structures have been experimentally determined, revealing a highly conserved core structure. Results We surveyed the protein architecture, genomic distribution and sequence conservation of BTB domain proteins in 17 fully sequenced eukaryotes. The BTB domain is typically found as a single copy in proteins that contain only one or two other types of domain, and this defines the BTB-zinc finger (BTB-ZF), BTB-BACK-kelch (BBK), voltage-gated potassium channel T1 (T1-Kv), MATH-BTB, BTB-NPH3 and BTB-BACK-PHR (BBP) families of proteins, among others. In contrast, the Skp1 and ElonginC proteins consist almost exclusively of the core BTB fold. There are numerous lineage-specific expansions of BTB proteins, as seen by the relatively large number of BTB-ZF and BBK proteins in vertebrates, MATH-BTB proteins in Caenorhabditis elegans, and BTB-NPH3 proteins in Arabidopsis thaliana. Using the structural homology between Skp1 and the PLZF BTB homodimer, we present a model of a BTB-Cul3 SCF-like E3 ubiquitin ligase complex that shows that the BTB dimer or the T1 tetramer is compatible in this complex. Conclusion Despite widely divergent sequences, the BTB fold is structurally well conserved. The fold has adapted to several different modes of self-association and interactions with non-BTB proteins. PMID:16207353

  2. Deep Sequencing Analysis of the Ixodes ricinus Haemocytome

    PubMed Central

    Franta, Zdeněk; Pedra, Joao H. F.; Ribeiro, José M. C.

    2015-01-01

    Background Ixodes ricinus is the main tick vector of the microbes that cause Lyme disease and tick-borne encephalitis in Europe. Pathogens transmitted by ticks have to overcome innate immunity barriers present in tick tissues, including midgut, salivary glands epithelia and the hemocoel. Molecularly, invertebrate immunity is initiated when pathogen recognition molecules trigger serum or cellular signalling cascades leading to the production of antimicrobials, pathogen opsonization and phagocytosis. We presently aimed at identifying hemocyte transcripts from semi-engorged female I. ricinus ticks by mass sequencing a hemocyte cDNA library and annotating immune-related transcripts based on their hemocyte abundance as well as their ubiquitous distribution. Methodology/principal findings De novo assembly of 926,596 pyrosequence reads plus 49,328,982 Illumina reads (148 nt length) from a hemocyte library, together with over 189 million Illumina reads from salivary gland and midgut libraries, generated 15,716 extracted coding sequences (CDS); these are displayed in an annotated hyperlinked spreadsheet format. Read mapping allowed the identification and annotation of tissue-enriched transcripts. A total of 327 transcripts were found significantly over expressed in the hemocyte libraries, including those coding for scavenger receptors, antimicrobial peptides, pathogen recognition proteins, proteases and protease inhibitors. Vitellogenin and lipid metabolism transcription enrichment suggests fat body components. We additionally annotated ubiquitously distributed transcripts associated with immune function, including immune-associated signal transduction proteins and transcription factors, including the STAT transcription factor. Conclusions/significance This is the first systems biology approach to describe the genes expressed in the haemocytes of this neglected disease vector. A total of 2,860 coding sequences were deposited to GenBank, increasing to 27,547 the number so

  3. New approaches for computer analysis of nucleic acid sequences.

    PubMed

    Karlin, S; Ghandour, G; Ost, F; Tavare, S; Korn, L J

    1983-09-01

    A new high-speed computer algorithm is outlined that ascertains within and between nucleic acid and protein sequences all direct repeats, dyad symmetries, and other structural relationships. Large repeats, repeats of high frequency, dyad symmetries of specified stem length and loop distance, and their distributions are determined. Significance of homologies is assessed by a hierarchy of permutation procedures. Applications are made to papovaviruses, the human papillomavirus HPV, lambda phage, the human and mouse mitochondrial genomes, and the human and mouse immunoglobulin kappa-chain genes. PMID:6577449

  4. Rapid ribosomal RNA sequencing and the phylogenetic analysis of protists.

    PubMed

    Johnson, A M; Baverstock, P R

    1989-04-01

    A newly described technique for rapidly obtaining the partial nucleotide sequence of ribosomal RNA is being applied to investigate phylogenetic relationships among living organisms. Alan Johnson and Peter Boverstock describe the importance of this method to parasitology in providing new information on the phylogenetic relationships of parasitic organisms previously placed in groups of convenience. The phylum Apicomplexo in particular, has been the object of much study using this technique, but the technology is likely to extend soon to the restructuring of the phylogenetic trees of many groups of parasites.

  5. Analysis of Comparative Sequence and Genomic Data to Verify Phylogenetic Relationship and Explore a New Subfamily of Bacterial Lipases

    PubMed Central

    Salleh, Abu Bakar; Basri, Mahiran

    2016-01-01

    Thermostable and organic solvent-tolerant enzymes have significant potential in a wide range of synthetic reactions in industry due to their inherent stability at high temperatures and their ability to endure harsh organic solvents. In this study, a novel gene encoding a true lipase was isolated by construction of a genomic DNA library of thermophilic Aneurinibacillus thermoaerophilus strain HZ into Escherichia coli plasmid vector. Sequence analysis revealed that HZ lipase had 62% identity to putative lipase from Bacillus pseudomycoides. The closely characterized lipases to the HZ lipase gene are from thermostable Bacillus and Geobacillus lipases belonging to the subfamily I.5 with ≤ 57% identity. The amino acid sequence analysis of HZ lipase determined a conserved pentapeptide containing the active serine, GHSMG and a Ca2+-binding motif, GCYGSD in the enzyme. Protein structure modeling showed that HZ lipase consisted of an α/β hydrolase fold and a lid domain. Protein sequence alignment, conserved regions analysis, clustal distance matrix and amino acid composition illustrated differences between HZ lipase and other thermostable lipases. Phylogenetic analysis revealed that this lipase represented a new subfamily of family I of bacterial true lipases, classified as family I.9. The HZ lipase was expressed under promoter Plac using IPTG and was characterized. The recombinant enzyme showed optimal activity at 65°C and retained ≥ 97% activity after incubation at 50°C for 1h. The HZ lipase was stable in various polar and non-polar organic solvents. PMID:26934700

  6. Internal deletions in the yeast transcriptional activator HAP1 have opposite effects at two sequence elements.

    PubMed

    Kim, K S; Pfeifer, K; Powell, L; Guarente, L

    1990-06-01

    In this report we study the effects of internal deletions of the yeast transcriptional activator HAP1 (CYP1) on activity at two dissimilar DNA binding sites, upstream activation sequence 1 (UAS1) of CYC1 (iso-1-cytochrome c) and CYC7 (iso-2-cytochrome c). These deletions remove up to 1061 amino acids of the 1483-residue protein and bring the carboxyl-terminal acidic activation domain closer to the amino-terminal DNA-binding domain. Surprisingly, the deletions have opposite effects at the two sites; activity at UAS1 increases with deletion size, while activity at CYC7 decreases. The mutant with the largest deletion, mini-HAP1, has no measurable activity at CYC7 but binds normally to the site in vitro. In contrast, a protein with the DNA-binding domain of HAP1 fused to the acidic activation domain of GAL4 is active at both UAS1 and CYC7. These findings are discussed in the context of two models that suggest how the DNA sequence can alter the activity of the bound HAP1. In a separate experiment, we generate a mutation in the DNA-binding domain of HAP1 that requires the addition of zinc for binding to either UAS1 or CYC7 in vitro. This finding shows that a zinc finger anchors DNA binding to both types of HAP1 sites. PMID:2162046

  7. Target DNA sequence directly regulates the frequency of activation-induced deaminase-dependent mutations.

    PubMed

    Chen, Zhangguo; Viboolsittiseri, Sawanee S; O'Connor, Brian P; Wang, Jing H

    2012-10-15

    Activation-induced deaminase (AID) catalyses class switch recombination (CSR) and somatic hypermutation (SHM) in B lymphocytes to enhance Ab diversity. CSR involves breaking and rejoining highly repetitive switch (S) regions in the IgH (Igh) locus. S regions appear to be preferential targets of AID. To determine whether S region sequence per se, independent of Igh cis regulatory elements, can influence AID targeting efficiency and mutation frequency, we established a knock-in mouse model by inserting a core Sγ1 region into the first intron of proto-oncogene Bcl6, which is a non-Ig target of SHM. We found that the mutation frequency of the inserted Sγ1 region was dramatically higher than that of the adjacent Bcl6 endogenous sequence. Mechanistically, S region-enhanced SHM was associated with increased recruitment of AID and RNA polymerase II, together with Spt5, albeit to a lesser extent. Our studies demonstrate that target DNA sequences influence mutation frequency via regulating AID recruitment. We propose that the nucleotide sequence preference may serve as an additional layer of AID regulation by restricting its mutagenic activity to specific sequences despite the observation that AID has the potential to access the genome widely.

  8. Neuronal precursor-specific activity of a human doublecortin regulatory sequence.

    PubMed

    Karl, Claudia; Couillard-Despres, Sebastien; Prang, Peter; Munding, Matthias; Kilb, Werner; Brigadski, Tanja; Plötz, Sonja; Mages, Wolfgang; Luhmann, Heiko; Winkler, Jürgen; Bogdahn, Ulrich; Aigner, Ludwig

    2005-01-01

    The doublecortin (DCX) gene encodes a 40-kDa microtubule-associated protein specifically expressed in neuronal precursors of the developing and adult CNS. Due to its specific expression pattern, attention was drawn to DCX as a marker for neuronal precursors and neurogenesis, thereby underscoring the importance of its promoter identification and promoter analysis. Here, we analysed the human DCX regulatory sequence and confined it to a 3.5-kb fragment upstream of the ATG start codon. We demonstrate by transient transfection experiments that this fragment is sufficient and specific to drive expression of reporter genes in embryonic and adult neuronal precursors. The activity of this regulatory fragment overlapped with the expression of endogenous DCX and with the young neuronal markers class III beta-tubulin isotype and microtubule-associated protein Map2ab but not with glial or oligodendroglial markers. Electrophysiological data further confirmed the immature neuronal nature of these cells. Deletions within the 3.5-kb region demonstrated the relevance of specific regions containing transcription factor-binding sites. Moreover, application of neurogenesis-related growth factors in the neuronal precursor cultures suggested the lack of direct signalling of these factors on the DCX promoter construct. PMID:15663475

  9. Identification of Medically Important Yeast Species by Sequence Analysis of the Internal Transcribed Spacer Regions

    PubMed Central

    Leaw, Shiang Ning; Chang, Hsien Chang; Sun, Hsiao Fang; Barton, Richard; Bouchara, Jean-Philippe; Chang, Tsung Chain

    2006-01-01

    Infections caused by yeasts have increased in previous decades due primarily to the increasing population of immunocompromised patients. In addition, infections caused by less common species such as Pichia, Rhodotorula, Trichosporon, and Saccharomyces spp. have been widely reported. This study extensively evaluated the feasibility of sequence analysis of the rRNA gene internal transcribed spacer (ITS) regions for the identification of yeasts of clinical relevance. Both the ITS1 and ITS2 regions of 373 strains (86 species), including 299 reference strains and 74 clinical isolates, were amplified by PCR and sequenced. The sequences were compared to reference data available at the GenBank database by using BLAST (basic local alignment search tool) to determine if species identification was possible by ITS sequencing. Since the GenBank database currently lacks ITS sequence entries for some yeasts, the ITS sequences of type (or reference) strains of 15 species were submitted to GenBank to facilitate identification of these species. Strains producing discrepant identifications between the conventional methods and ITS sequence analysis were further analyzed by sequencing of the D1-D2 domain of the large-subunit rRNA gene for species clarification. The rates of correct identification by ITS1 and ITS2 sequence analysis were 96.8% (361/373) and 99.7% (372/373), respectively. Of the 373 strains tested, only 1 strain (Rhodotorula glutinis BCRC 20576) could not be identified by ITS2 sequence analysis. In conclusion, identification of medically important yeasts by ITS sequencing, especially using the ITS2 region, is reliable and can be used as an accurate alternative to conventional identification methods. PMID:16517841

  10. The Chromospheric Activity and Age Relation among Main Sequence Stars in Wide Binaries

    NASA Astrophysics Data System (ADS)

    Oswalt, Terry D.; Zhao, J.

    2011-05-01

    We present a study of the chromospheric activity levels in 36 wide binary systems. Thirty one of the binaries contain a white dwarf component. In such binaries the total age can be estimated by adding the cooling age of the white dwarf to an estimate of the progenitor's main sequence lifetime. To better understand how activity correlates to stellar age, 14 cluster member stars were also observed. Our observations confirm the expectation derived from studies of single main sequence stars that activity decays with age. However, for the first time we demonstrate that this relation extends from 50 Myr to at least 8 Gyr for stars with 1.0 < V-I < 2.4 color index. We also find that little change in activity occurs for stars with V-I < 1.0 and ages between 1 Gyr and 5 Gyr. The slope of constant age lines in the activity vs. V-I plane for young stars is relatively steep, while for old stars it appears to be flatter. In addition, our sample includes five wide binaries consisting of two main sequence stars. These pairs provide a useful reality check on our activity vs. age relation. Support for this project from NSF grant AST-0807919 to Florida Institute of Technology is gratefully acknowledged.

  11. A rapid whole genome sequencing and analysis system supporting genomic epidemiology (7th Annual SFAF Meeting, 2012)

    SciTech Connect

    FitzGerald, Michael

    2012-06-01

    Michael FitzGerald on "A rapid whole genome sequencing and analysis system supporting genomic epidemiology" at the 2012 Sequencing, Finishing, Analysis in the Future Meeting held June 5-7, 2012 in Santa Fe, New Mexico.

  12. A rapid whole genome sequencing and analysis system supporting genomic epidemiology (7th Annual SFAF Meeting, 2012)

    ScienceCinema

    FitzGerald, Michael [Broad Institute

    2016-07-12

    Michael FitzGerald on "A rapid whole genome sequencing and analysis system supporting genomic epidemiology" at the 2012 Sequencing, Finishing, Analysis in the Future Meeting held June 5-7, 2012 in Santa Fe, New Mexico.

  13. Accident sequence precursor analysis level 2/3 model development

    SciTech Connect

    Lui, C.H.; Galyean, W.J.; Brownson, D.A.

    1997-02-01

    The US Nuclear Regulatory Commission`s Accident Sequence Precursor (ASP) program currently uses simple Level 1 models to assess the conditional core damage probability for operational events occurring in commercial nuclear power plants (NPP). Since not all accident sequences leading to core damage will result in the same radiological consequences, it is necessary to develop simple Level 2/3 models that can be used to analyze the response of the NPP containment structure in the context of a core damage accident, estimate the magnitude of the resulting radioactive releases to the environment, and calculate the consequences associated with these releases. The simple Level 2/3 model development work was initiated in 1995, and several prototype models have been completed. Once developed, these simple Level 2/3 models are linked to the simple Level 1 models to provide risk perspectives for operational events. This paper describes the methods implemented for the development of these simple Level 2/3 ASP models, and the linkage process to the existing Level 1 models.

  14. Analysis of sequencing and scheduling methods for arrival traffic

    NASA Technical Reports Server (NTRS)

    Neuman, Frank; Erzberger, Heinz

    1990-01-01

    The air traffic control subsystem that performs scheduling is discussed. The function of the scheduling algorithms is to plan automatically the most efficient landing order and to assign optimally spaced landing times to all arrivals. Several important scheduling algorithms are described and the statistical performance of the scheduling algorithms is examined. Scheduling brings order to an arrival sequence for aircraft. First-come-first-served scheduling (FCFS) establishes a fair order, based on estimated times of arrival, and determines proper separations. Because of the randomness of the traffic, gaps will remain in the scheduled sequence of aircraft. These gaps are filled, or partially filled, by time-advancing the leading aircraft after a gap while still preserving the FCFS order. Tightly scheduled groups of aircraft remain with a mix of heavy and large aircraft. Separation requirements differ for different types of aircraft trailing each other. Advantage is taken of this fact through mild reordering of the traffic, thus shortening the groups and reducing average delays. Actual delays for different samples with the same statistical parameters vary widely, especially for heavy traffic.

  15. Identification and sequence analysis of potyviruses infecting crops in Vietnam.

    PubMed

    Ha, C; Revill, P; Harding, R M; Vu, M; Dale, J L

    2008-01-01

    Fifty-two virus isolates from 13 distinct potyvirus species infecting crops in Vietnam were identified and the 3' region of each genome was sequenced. The viruses were: bean common mosaic virus (BCMV), potato virus Y (PVY), sugarcane mosaic virus (SCMV), sorghum mosaic virus (SrMV), chilli veinal mottle virus (ChiVMV), zucchini yellow mosaic virus (ZYMV), leek yellow stripe virus (LYMV), shallot yellow stripe virus (SYSV), onion yellow dwarf virus (OYDV), turnip mosaic virus (TuMV), dasheen mosaic virus (DsMV), sweet potato feathery mottle virus (SPFMV) and a novel potyvirus infecting chilli, tentatively named chilli ringspot virus (ChiRSV). With the exception of BCMV and PVY, this is first report of these viruses in Vietnam. Further, rabbit bell (Crotalaria anagyroides) and typhonia (Typhonium trilobatum) were identified as new natural hosts of the peanut stunt virus (PStV) strain of BCMV and of DsMV, respectively. Sequence and phylogenetic analyses of the entire CP-coding region revealed considerable variability in BCMV, SCMV, PVY, ZYMV and DsMV. PMID:17906829

  16. Primary sequence analysis of Clostridium cellulovorans cellulose binding protein A.

    PubMed Central

    Shoseyov, O; Takagi, M; Goldstein, M A; Doi, R H

    1992-01-01

    The cbpA gene for the Clostridium cellulovorans cellulose binding protein (CbpA), which is part of the multisubunit cellulase complex, has been cloned and sequenced. When cbpA was expressed in Escherichia coli, proteins capable of binding to crystalline cellulose and of interacting with anti-CbpA were observed. The cbpA gene consists of 5544 base pairs and encodes a protein containing 1848 amino acids with a molecular mass of 189,036 Da. The open reading frame is preceded by a Gram-positive-type ribosome binding site. A signal peptide sequence of 28 amino acids is present at its N terminus. The encoded protein is highly hydrophobic with extremely high levels of threonine and valine residues. There are two types of putative cellulose binding domains of approximately 100 amino acids that are slightly hydrophilic and eight conserved, highly hydrophobic beta-sheet regions of approximately 140 amino acids. These latter hydrophobic regions may be the CbpA domains that interact with the different enzymatic subunits of the cellulase complex. Images PMID:1565642

  17. The role of integrated databases in microbial genome sequence analysis and metabolic reconstruction

    SciTech Connect

    Gaasterland, T., Maltsev, N., Overbeek, R.

    1997-02-01

    This paper provides an overview of the PUMA system which provides access to data about metabolic pathways, enzymes, compounds, organisms, encoded activity, and assay condition information for enzymes in particular organisms and multiple sequence alignments.

  18. Detection and characterization of Histoplasma capsulatum in a German badger (Meles meles) by ITS sequencing and multilocus sequencing analysis.

    PubMed

    Eisenberg, Tobias; Seeger, Helga; Kasuga, Takao; Eskens, Ulrich; Sauerwald, Claudia; Kaim, Ute

    2013-05-01

    A wild badger (Meles meles) with a severe nodular dermatitis was presented for post mortem examination. Numerous cutaneous granulomas with superficial ulceration were present especially on head, dorsum, and forearms were found at necropsy. Histopathological examination of the skin revealed a severe granulomatous dermatitis with abundant intralesional round to spherical yeast-like cells, 2-5 μm in diameter, altogether consistent with the clinical appearance of histoplasmosis farciminosi. The structures stained positively with Grocott's methenamine silver and Periodic acid-Schiff stains, but attempts to isolate the etiologic agent at 25 and 37°C failed. DNA was directly extracted from tissue samples and the ribosomal genes ITS1-5.8S-ITS2 were partially sequenced. This revealed 99% identity to sequences from Ajellomyces capsulatus, the teleomorph of Histoplasma capsulatum, which was derived from a human case in Japan, as well as from horses from Egypt and Poland. Phylogenetic multi-locus sequence analysis demonstrated that the fungus in our case belonged to the Eurasian clade which contains members of former varieties H. capsulatum var. capsulatum, H. capsulatum var. farciminosum. This is the first study of molecular and phylogenetic aspects of H. capsulatum, as well as evidence for histoplasmosis farciminosi in a badger, further illuminating the role of this rare pathogen in Central Europe. PMID:23035880

  19. IMSA: integrated metagenomic sequence analysis for identification of exogenous reads in a host genomic background.

    PubMed

    Dimon, Michelle T; Wood, Henry M; Rabbitts, Pamela H; Arron, Sarah T

    2013-01-01

    Metagenomics, the study of microbial genomes within diverse environments, is a rapidly developing field. The identification of microbial sequences within a host organism enables the study of human intestinal, respiratory, and skin microbiota, and has allowed the identification of novel viruses in diseases such as Merkel cell carcinoma. There are few publicly available tools for metagenomic high throughput sequence analysis. We present Integrated Metagenomic Sequence Analysis (IMSA), a flexible, fast, and robust computational analysis pipeline that is available for public use. IMSA takes input sequence from high throughput datasets and uses a user-defined host database to filter out host sequence. IMSA then aligns the filtered reads to a user-defined universal database to characterize exogenous reads within the host background. IMSA assigns a score to each node of the taxonomy based on read frequency, and can output this as a taxonomy report suitable for cluster analysis or as a taxonomy map (TaxMap). IMSA also outputs the specific sequence reads assigned to a taxon of interest for downstream analysis. We demonstrate the use of IMSA to detect pathogens and normal flora within sequence data from a primary human cervical cancer carrying HPV16, a primary human cutaneous squamous cell carcinoma carrying HPV 16, the CaSki cell line carrying HPV16, and the HeLa cell line carrying HPV18. PMID:23717627

  20. Signature Peptide-Enabled Metagenomics (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    SciTech Connect

    McMahon, Ben

    2012-06-01

    Ben McMahon of Los Alamos National Laboratory (LANL) presents "Signature Peptide-Enabled Metagenomics" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  1. Signature Peptide-Enabled Metagenomics (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema

    McMahon, Ben [LANL

    2016-07-12

    Ben McMahon of Los Alamos National Laboratory (LANL) presents "Signature Peptide-Enabled Metagenomics" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  2. Identification of the sequences recognized by phage phi 29 transcriptional activator: possible interaction between the activator and the RNA polymerase.

    PubMed

    Nuez, B; Rojo, F; Barthelemy, I; Salas, M

    1991-05-11

    Expression of Bacillus subtilis phage phi 29 late genes requires the transcriptional activator protein p4. This activator binds to a region of the late A3 promoter spanning nucleotides -56 to -102 relative to the transcription start site, generating a strong bending Tin the DNA. In this work the target sequences recognized by protein p4 in the phage phi 29 late A3 promoter have been characterized. The binding of protein p4 to derivatives of the late A3 promoter harbouring deletions in the protein p4 binding site has been studied. When protein p4 recognition sequences were altered, the activator could only bind to the promoter in the presence of RNA polymerase. This strong cooperativity in the binding of protein p4 and RNA polymerase to the promoter suggests the presence of direct protein-protein contacts between them.

  3. Combined DECS Analysis and Next-Generation Sequencing Enable Efficient Detection of Novel Plant RNA Viruses.

    PubMed

    Yanagisawa, Hironobu; Tomita, Reiko; Katsu, Koji; Uehara, Takuya; Atsumi, Go; Tateda, Chika; Kobayashi, Kappei; Sekine, Ken-Taro

    2016-03-01

    The presence of high molecular weight double-stranded RNA (dsRNA) within plant cells is an indicator of infection with RNA viruses as these possess genomic or replicative dsRNA. DECS (dsRNA isolation, exhaustive amplification, cloning, and sequencing) analysis has been shown to be capable of detecting unknown viruses. We postulated that a combination of DECS analysis and next-generation sequencing (NGS) would improve detection efficiency and usability of the technique. Here, we describe a model case in which we efficiently detected the presumed genome sequence of Blueberry shoestring virus (BSSV), a member of the genus Sobemovirus, which has not so far been reported. dsRNAs were isolated from BSSV-infected blueberry plants using the dsRNA-binding protein, reverse-transcribed, amplified, and sequenced using NGS. A contig of 4,020 nucleotides (nt) that shared similarities with sequences from other Sobemovirus species was obtained as a candidate of the BSSV genomic sequence. Reverse transcription (RT)-PCR primer sets based on sequences from this contig enabled the detection of BSSV in all BSSV-infected plants tested but not in healthy controls. A recombinant protein encoded by the putative coat protein gene was bound by the BSSV-antibody, indicating that the candidate sequence was that of BSSV itself. Our results suggest that a combination of DECS analysis and NGS, designated here as "DECS-C," is a powerful method for detecting novel plant viruses. PMID:27072419

  4. Combined DECS Analysis and Next-Generation Sequencing Enable Efficient Detection of Novel Plant RNA Viruses

    PubMed Central

    Yanagisawa, Hironobu; Tomita, Reiko; Katsu, Koji; Uehara, Takuya; Atsumi, Go; Tateda, Chika; Kobayashi, Kappei; Sekine, Ken-Taro

    2016-01-01

    The presence of high molecular weight double-stranded RNA (dsRNA) within plant cells is an indicator of infection with RNA viruses as these possess genomic or replicative dsRNA. DECS (dsRNA isolation, exhaustive amplification, cloning, and sequencing) analysis has been shown to be capable of detecting unknown viruses. We postulated that a combination of DECS analysis and next-generation sequencing (NGS) would improve detection efficiency and usability of the technique. Here, we describe a model case in which we efficiently detected the presumed genome sequence of Blueberry shoestring virus (BSSV), a member of the genus Sobemovirus, which has not so far been reported. dsRNAs were isolated from BSSV-infected blueberry plants using the dsRNA-binding protein, reverse-transcribed, amplified, and sequenced using NGS. A contig of 4,020 nucleotides (nt) that shared similarities with sequences from other Sobemovirus species was obtained as a candidate of the BSSV genomic sequence. Reverse transcription (RT)-PCR primer sets based on sequences from this contig enabled the detection of BSSV in all BSSV-infected plants tested but not in healthy controls. A recombinant protein encoded by the putative coat protein gene was bound by the BSSV-antibody, indicating that the candidate sequence was that of BSSV itself. Our results suggest that a combination of DECS analysis and NGS, designated here as “DECS-C,” is a powerful method for detecting novel plant viruses. PMID:27072419

  5. Purification and partial sequence analysis of insulin-like growth factor-1 from bovine colostrum.

    PubMed Central

    Francis, G L; Read, L C; Ballard, F J; Bagley, C J; Upton, F M; Gravestock, P M; Wallace, J C

    1986-01-01

    Growth-promoting activity in bovine colostrum has been detected as the capacity to stimulate protein synthesis in L6 myoblasts. By using this assay as a measure of bioactivity, a growth factor has been purified to near homogeneity from centrifuged colostrum by a series of steps including acid extraction, chromatography on sulphopropyl-Sephadex, followed by adsorption to, and elution from, C18 columns using acetonitrile and propan-1-ol gradients. The purified growth factor has a low solubility at neutral and alkaline pH and has an Mr of 7800 by gel-permeation chromatography. Sequence analysis of the first 30 amino acids from the N-terminus indicated complete identity in this region with human insulin-like growth factor-1. Accordingly we conclude that the purified growth factor is bovine insulin-like growth factor-1. PMID:3954725

  6. Analysis and Functional Annotation of an Expressed Sequence Tag Collection for Tropical Crop Sugarcane

    PubMed Central

    Vettore, André L.; da Silva, Felipe R.; Kemper, Edson L.; Souza, Glaucia M.; da Silva, Aline M.; Ferro, Maria Inês T.; Henrique-Silva, Flavio; Giglioti, Éder A.; Lemos, Manoel V.F.; Coutinho, Luiz L.; Nobrega, Marina P.; Carrer, Helaine; França, Suzelei C.; Bacci, Maurício; Goldman, Maria Helena S.; Gomes, Suely L.; Nunes, Luiz R.; Camargo, Luis E.A.; Siqueira, Walter J.; Van Sluys, Marie-Anne; Thiemann, Otavio H.; Kuramae, Eiko E.; Santelli, Roberto V.; Marino, Celso L.; Targon, Maria L.P.N.; Ferro, Jesus A.; Silveira, Henrique C.S.; Marini, Danyelle C.; Lemos, Eliana G.M.; Monteiro-Vitorello, Claudia B.; Tambor, José H.M.; Carraro, Dirce M.; Roberto, Patrícia G.; Martins, Vanderlei G.; Goldman, Gustavo H.; de Oliveira, Regina C.; Truffi, Daniela; Colombo, Carlos A.; Rossi, Magdalena; de Araujo, Paula G.; Sculaccio, Susana A.; Angella, Aline; Lima, Marleide M.A.; de Rosa, Vicente E.; Siviero, Fábio; Coscrato, Virginia E.; Machado, Marcos A.; Grivet, Laurent; Di Mauro, Sonia M.Z.; Nobrega, Francisco G.; Menck, Carlos F.M.; Braga, Marilia D.V.; Telles, Guilherme P.; Cara, Frank A.A.; Pedrosa, Guilherme; Meidanis, João; Arruda, Paulo

    2003-01-01

    To contribute to our understanding of the genome complexity of sugarcane, we undertook a large-scale expressed sequence tag (EST) program. More than 260,000 cDNA clones were partially sequenced from 26 standard cDNA libraries generated from different sugarcane tissues. After the processing of the sequences, 237,954 high-quality ESTs were identified. These ESTs were assembled into 43,141 putative transcripts. Of the assembled sequences, 35.6% presented no matches with existing sequences in public databases. A global analysis of the whole SUCEST data set indicated that 14,409 assembled sequences (33% of the total) contained at least one cDNA clone with a full-length insert. Annotation of the 43,141 assembled sequences associated almost 50% of the putative identified sugarcane genes with protein metabolism, cellular communication/signal transduction, bioenergetics, and stress responses. Inspection of the translated assembled sequences for conserved protein domains revealed 40,821 amino acid sequences with 1415 Pfam domains. Reassembling the consensus sequences of the 43,141 transcripts revealed a 22% redundancy in the first assembling. This indicated that possibly 33,620 unique genes had been identified and indicated that >90% of the sugarcane expressed genes were tagged. PMID:14613979

  7. Comprehensive Primer Design for Analysis of Population Genetics in Non-Sequenced Organisms

    PubMed Central

    Tezuka, Ayumi; Matsushima, Noe; Nemoto, Yoriko; Akashi, Hiroshi D.; Kawata, Masakado; Makino, Takashi

    2012-01-01

    Nuclear sequence markers are useful tool for the study of the history of populations and adaptation. However, it is not easy to obtain multiple nuclear primers for organisms with poor or no genomic sequence information. Here we used the genomes of organisms that have been fully sequenced to design comprehensive sets of primers to amplify polymorphic genomic fragments of multiple nuclear genes in non-sequenced organisms. First, we identified a large number of candidate polymorphic regions that were flanked on each side by conserved regions in the reference genomes. We then designed primers based on these conserved sequences and examined whether the primers could be used to amplify sequences in target species, montane brown frog (Rana ornativentris), anole lizard (Anolis sagrei), guppy (Poecilia reticulata), and fruit fly (Drosophila melanogaster), for population genetic analysis. We successfully obtained polymorphic markers for all target species studied. In addition, we found that sequence identities of the regions between the primer sites in the reference genomes affected the experimental success of DNA amplification and identification of polymorphic loci in the target genomes, and that exonic primers had a higher success rate than intronic primers in amplifying readable sequences. We conclude that this comparative genomic approach is a time- and cost-effective way to obtain polymorphic markers for non-sequenced organisms, and that it will contribute to the further development of evolutionary ecology and population genetics for non-sequenced organisms, aiding in the understanding of the genetic basis of adaptation. PMID:22393396

  8. NGS-eval: NGS Error analysis and novel sequence VAriant detection tooL.

    PubMed

    May, Ali; Abeln, Sanne; Buijs, Mark J; Heringa, Jaap; Crielaard, Wim; Brandt, Bernd W

    2015-07-01

    Massively parallel sequencing of microbial genetic markers (MGMs) is used to uncover the species composition in a multitude of ecological niches. These sequencing runs often contain a sample with known composition that can be used to evaluate the sequencing quality or to detect novel sequence variants. With NGS-eval, the reads from such (mock) samples can be used to (i) explore the differences between the reads and their references and to (ii) estimate the sequencing error rate. This tool maps these reads to references and calculates as well as visualizes the different types of sequencing errors. Clearly, sequencing errors can only be accurately calculated if the reference sequences are correct. However, even with known strains, it is not straightforward to select the correct references from databases. We previously analysed a pyrosequencing dataset from a mock sample to estimate sequencing error rates and detected sequence variants in our mock community, allowing us to obtain an accurate error estimation. Here, we demonstrate the variant detection and error analysis capability of NGS-eval with Illumina MiSeq reads from the same mock community. While tailored towards the field of metagenomics, this server can be used for any type of MGM-based reads. NGS-eval is available at http://www.ibi.vu.nl/programs/ngsevalwww/.

  9. Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment.

    PubMed

    Doherty, Rachael; Couldrey, Christine

    2014-01-01

    Recent advances made in "omics" technologies are contributing to a revolution in livestock selection and breeding practices. Epigenetic mechanisms, including DNA methylation are important determinants for the control of gene expression in mammals. DNA methylation research will help our understanding of how environmental factors contribute to phenotypic variation of complex production and health traits. High-throughput sequencing is a vital tool for the comprehensive analysis of DNA methylation, and bisulfite-based strategies coupled with DNA sequencing allows for quantitative, site-specific methylation analysis at the genome level or genome wide. Reduced representation bisulfite sequencing (RRBS) and more recently whole genome bisulfite sequencing (WGBS) have proven to be effective techniques for studying DNA methylation in both humans and mice. Here we report the development of RRBS and WGBS for use in sheep, the first application of this technology in livestock species. Important technical issues associated with these methodologies including fragment size selection and sequence depth are examined and discussed. PMID:24860595

  10. A convolutional code-based sequence analysis model and its application.

    PubMed

    Liu, Xiao; Geng, Xiaoli

    2013-04-16

    A new approach for encoding DNA sequences as input for DNA sequence analysis is proposed using the error correction coding theory of communication engineering. The encoder was designed as a convolutional code model whose generator matrix is designed based on the degeneracy of codons, with a codon treated in the model as an informational unit. The utility of the proposed model was demonstrated through the analysis of twelve prokaryote and nine eukaryote DNA sequences having different GC contents. Distinct differences in code distances were observed near the initiation and termination sites in the open reading frame, which provided a well-regulated characterization of the DNA sequences. Clearly distinguished period-3 features appeared in the coding regions, and the characteristic average code distances of the analyzed sequences were approximately proportional to their GC contents, particularly in the selected prokaryotic organisms, presenting the potential utility as an added taxonomic characteristic for use in studying the relationships of living organisms.

  11. Sequences flanking the core-binding site modulate glucocorticoid receptor structure and activity

    PubMed Central

    Schöne, Stefanie; Jurk, Marcel; Helabad, Mahdi Bagherpoor; Dror, Iris; Lebars, Isabelle; Kieffer, Bruno; Imhof, Petra; Rohs, Remo; Vingron, Martin; Thomas-Chollier, Morgane; Meijsing, Sebastiaan H.

    2016-01-01

    The glucocorticoid receptor (GR) binds as a homodimer to genomic response elements, which have particular sequence and shape characteristics. Here we show that the nucleotides directly flanking the core-binding site, differ depending on the strength of GR-dependent activation of nearby genes. Our study indicates that these flanking nucleotides change the three-dimensional structure of the DNA-binding site, the DNA-binding domain of GR and the quaternary structure of the dimeric complex. Functional studies in a defined genomic context show that sequence-induced changes in GR activity cannot be explained by differences in GR occupancy. Rather, mutating the dimerization interface mitigates DNA-induced changes in both activity and structure, arguing for a role of DNA-induced structural changes in modulating GR activity. Together, our study shows that DNA sequence identity of genomic binding sites modulates GR activity downstream of binding, which may play a role in achieving regulatory specificity towards individual target genes. PMID:27581526

  12. Sequences flanking the core-binding site modulate glucocorticoid receptor structure and activity.

    PubMed

    Schöne, Stefanie; Jurk, Marcel; Helabad, Mahdi Bagherpoor; Dror, Iris; Lebars, Isabelle; Kieffer, Bruno; Imhof, Petra; Rohs, Remo; Vingron, Martin; Thomas-Chollier, Morgane; Meijsing, Sebastiaan H

    2016-01-01

    The glucocorticoid receptor (GR) binds as a homodimer to genomic response elements, which have particular sequence and shape characteristics. Here we show that the nucleotides directly flanking the core-binding site, differ depending on the strength of GR-dependent activation of nearby genes. Our study indicates that these flanking nucleotides change the three-dimensional structure of the DNA-binding site, the DNA-binding domain of GR and the quaternary structure of the dimeric complex. Functional studies in a defined genomic context show that sequence-induced changes in GR activity cannot be explained by differences in GR occupancy. Rather, mutating the dimerization interface mitigates DNA-induced changes in both activity and structure, arguing for a role of DNA-induced structural changes in modulating GR activity. Together, our study shows that DNA sequence identity of genomic binding sites modulates GR activity downstream of binding, which may play a role in achieving regulatory specificity towards individual target genes. PMID:27581526

  13. The sequence and analysis of duplication rich human chromosome 16

    SciTech Connect

    Martin, Joel; Han, Cliff; Gordon, Laurie A.; Terry, Astrid; Prabhakar, Shyam; She, Xinwei; Xie, Gary; Hellsten, Uffe; Man Chan, Yee; Altherr, Michael; Couronne, Olivier; Aerts, Andrea; Bajorek, Eva; Black, Stacey; Blumer, Heather; Branscomb, Elbert; Brown, Nancy C.; Bruno, William J.; Buckingham, Judith M.; Callen, David F.; Campbell, Connie S.; Campbell, Mary L.; Campbell, Evelyn W.; Caoile, Chenier; Challacombe, Jean F.; Chasteen, Leslie A.; Chertkov, Olga; Chi, Han C.; Christensen, Mari; Clark, Lynn M.; Cohn, Judith D.; Denys, Mirian; Detter, John C.; Dickson, Mark; Dimitrijevic-Bussod, Mira; Escobar, Julio; Fawcett, Joseph J.; Flowers, Dave; Fotopulos, Dea; Glavina, Tijana; Gomez, Maria; Gonzales, Eidelyn; Goodstein, David; Goodwin, Lynne A.; Grady, Deborah L.; Grigoriev, Igor; Groza, Matthew; Hammon, Nancy; Hawkins, Trevor; Haydu, Lauren; Hildebrand, Carl E.; Huang, Wayne; Israni, Sanjay; Jett, Jamie; Jewett, Phillip E.; Kadner, Kristen; Kimball, Heather; Kobayashi, Arthur; Krawczyk, Marie-Claude; Leyba, Tina; Longmire, Jonathan L.; Lopez, Frederick; Lou, Yunian; Lowry, Steve; Ludeman, Thom; Mark, Graham A.; Mcmurray, Kimberly L.; Meincke, Linda J.; Morgan, Jenna; Moyzis, Robert K.; Mundt, Mark O.; Munk, A. Christine; Nandkeshwar, Richard D.; Pitluck, Sam; Pollard, Martin; Predki, Paul; Parson-Quintana, Beverly; Ramirez, Lucia; Rash, Sam; Retterer, James; Ricke, Darryl O.; Robinson, Donna L.; Rodriguez, Alex; Salamov, Asaf; Saunders, Elizabeth H.; Scott, Duncan; Shough, Timothy; Stallings, Raymond L.; Stalvey, Malinda; Sutherland, Robert D.; Tapia, Roxanne; Tesmer, Judith G.; Thayer, Nina; Thompson, Linda S.; Tice, Hope; Torney, David C.; Tran-Gyamfi, Mary; Tsai, Ming; Ulanovsky, Levy E.; Ustaszewska, Anna; Vo, Nu; White, P. Scott; Williams, Albert L.; Wills, Patricia L.; Wu, Jung-Rung; Wu, Kevin; Yang, Joan; DeJong, Pieter; Bruce, David; Doggett, Norman; Deaven, Larry; Schmutz, Jeremy; Grimwood, Jane; Richardson, Paul; et al.

    2004-08-01

    We report here the 78,884,754 base pairs of finished human chromosome 16 sequence, representing over 99.9 percent of its euchromatin. Manual annotation revealed 880 protein coding genes confirmed by 1,637 aligned transcripts, 19 tRNA genes, 341 pseudogenes and 3 RNA pseudogenes. These genes include metallothionein, cadherin and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukemia. Several large-scale structural polymorphisms spanning hundreds of kilobasepairs were identified and result in gene content differences across humans. One of the unique features of chromosome 16 is its high level of segmental duplication, ranked among the highest of the human autosomes. While the segmental duplications are enriched in the relatively gene poor pericentromere of the p-arm, some are involved in recent gene duplication and conversion events which are likely to have had an impact on the evolution of primates and human disease susceptibility.

  14. Analysis of simple sequence repeats in mammalian cell cycle genes.

    PubMed

    Trivedi, Seema; Wills, Christopher; Metzgar, David

    2014-01-01

    Simple sequence repeats (SSRs), or microsatellites are hyper-mutable and can lead to disorders. Here we explore SSR distribution in cell cycle-associated genes [grouped into: checkpoint; regulation; replication, repair, and recombination (RRR); and transition] in humans and orthologues of eight mammals. Among the gene groups studied, transition genes have the highest SSR density. Trinucleotide repeats are not abundant and introns have higher repeat density than exons. Many repeats in human genes are conserved; however, CG motifs are conserved only in regulation genes. SSR variability in cell cycle genes represents a genetic Achilles' heel, yet SSRs are common in all groups of genes. This tolerance many be due to i) positions in introns where they do not disrupt gene function, ii) essential roles in regulation, iii) specific value of adaptability, and/or iv) lack of negative selection pressure. Present study may be useful for further exploration of their medical relevance and potential functionality.

  15. The Sequence and Analysis of Duplication Rich Human Chromosome 16

    DOE R&D Accomplishments Database

    Martin, Joel; Han, Cliff; Gordon, Laurie A.; Terry, Astrid; Prabhakar, Shyam; She, Xinwei; Xie, Gary; Hellsten, Uffe; Man Chan, Yee; Altherr, Michael; Couronne, Olivier; Aerts, Andrea; Bajorek, Eva; Black, Stacey; Blumer, Heather; Branscomb, Elbert; Brown, Nancy C.; Bruno, William J.; Buckingham, Judith M.; Callen, David F.; Campbell, Connie S.; Campbell, Mary L.; Campbell, Evelyn W.; Caoile, Chenier; Challacombe, Jean F.; Chasteen, Leslie A.; Chertkov, Olga; Chi, Han C.; Christensen, Mari; Clark, Lynn M.; Cohn, Judith D.; Denys, Mirian; Detter, John C.; Dickson, Mark; Dimitrijevic-Bussod, Mira; Escobar, Julio; Fawcett, Joseph J.; Flowers, Dave; Fotopulos, Dea; Glavina, Tijana; Gomez, Maria; Gonzales, Eidelyn; Goodstein, David; Goodwin, Lynne A.; Grady, Deborah L.; Grigoriev, Igor; Groza, Matthew; Hammon, Nancy; Hawkins, Trevor; Haydu, Lauren; Hildebrand, Carl E.; Huang, Wayne; Israni, Sanjay; Jett, Jamie; Jewett, Phillip E.; Kadner, Kristen; Kimball, Heather; Kobayashi, Arthur; Krawczyk, Marie-Claude; Leyba, Tina; Longmire, Jonathan L.; Lopez, Frederick; Lou, Yunian; Lowry, Steve; Ludeman, Thom; Mark, Graham A.; Mcmurray, Kimberly L.; Meincke, Linda J.; Morgan, Jenna; Moyzis, Robert K.; Mundt, Mark O.; Munk, A. Christine; Nandkeshwar, Richard D.; Pitluck, Sam; Pollard, Martin; Predki, Paul; Parson-Quintana, Beverly; Ramirez, Lucia; Rash, Sam; Retterer, James; Ricke, Darryl O.; Robinson, Donna L.; Rodriguez, Alex; Salamov, Asaf; Saunders, Elizabeth H.; Scott, Duncan; Shough, Timothy; Stallings, Raymond L.; Stalvey, Malinda; Sutherland, Robert D.; Tapia, Roxanne; Tesmer, Judith G.; Thayer, Nina; Thompson, Linda S.; Tice, Hope; Torney, David C.; Tran-Gyamfi, Mary; Tsai, Ming; Ulanovsky, Levy E.; Ustaszewska, Anna; Vo, Nu; White, P. Scott; Williams, Albert L.; Wills, Patricia L.; Wu, Jung-Rung; Wu, Kevin; Yang, Joan; DeJong, Pieter; Bruce, David; Doggett, Norman; Deaven, Larry; Schmutz, Jeremy; Grimwood, Jane; Richardson, Paul; et al.

    2004-01-01

    We report here the 78,884,754 base pairs of finished human chromosome 16 sequence, representing over 99.9 percent of its euchromatin. Manual annotation revealed 880 protein coding genes confirmed by 1,637 aligned transcripts, 19 tRNA genes, 341 pseudogenes and 3 RNA pseudogenes. These genes include metallothionein, cadherin and iroquois gene families, as well as the disease genes for polycystic kidney disease and acute myelomonocytic leukemia. Several large-scale structural polymorphisms spanning hundreds of kilobasepairs were identified and result in gene content differences across humans. One of the unique features of chromosome 16 is its high level of segmental duplication, ranked among the highest of the human autosomes. While the segmental duplications are enriched in the relatively gene poor pericentromere of the p-arm, some are involved in recent gene duplication and conversion events which are likely to have had an impact on the evolution of primates and human disease susceptibility.

  16. DNA sequence analysis of five genes; tnsA, B, C, D and E, required for Tn7 transposition.

    PubMed Central

    Flores, C; Qadri, M I; Lichtenstein, C

    1990-01-01

    A region of DNA sequence of the bacterial transposon Tn7, which is required for transposition, has been determined. This DNA sequence completes an 8351 base pair (bp) region containing five long open reading frames (ORF's) that correspond to the genetically defined genes, tnsA, B, C, D and E, required for Tn7 transposition. All of the ORF's are oriented in the same direction, ie. inward from the element's right end. The genes are in a very compact arrangement with the presumed initiation codons never more than two bases beyond the preceding termination codon. Domains with similarity to the helix-turn-helix genre of Cro-like, sequence specific DNA binding sites occur within the deduced amino acid (a.a.) sequence of the TnsA, TnsB, TnsD and TnsE proteins. Translation of the tnsC ORF reveals strong homology to a consensus sequence for nucleotide binding sites as well as a region of similarity to a transcriptional activator (MalT). No striking a.a. sequence similarity to other DNA recombinases is observed. The possible roles of these proteins in Tn7 transposition is discussed in light of the analysis presented. PMID:2156235

  17. Cazymes Analysis Toolkit (CAT): Webservice for searching and analyzing carbohydrateactive enzymes in a newly sequenced organism using CAZy database

    SciTech Connect

    Karpinets, Tatiana V; Park, Byung; Syed, Mustafa H; Uberbacher, Edward C; Leuze, Michael Rex

    2010-01-01

    The Carbohydrate-Active Enzyme (CAZy) database provides a rich set of manually annotated enzymes that degrade, modify, or create glycosidic bonds. Despite rich and invaluable information stored in the database, software tools utilizing this information for annotation of newly sequenced genomes by CAZy families are limited. We have employed two annotation approaches to fill the gap between manually curated high-quality protein sequences collected in the CAZy database and the growing number of other protein sequences produced by genome or metagenome sequencing projects. The first approach is based on a similarity search against the entire non-redundant sequences of the CAZy database. The second approach performs annotation using links or correspondences between the CAZy families and protein family domains. The links were discovered using the association rule learning algorithm applied to sequences from the CAZy database. The approaches complement each other and in combination achieved high specificity and sensitivity when cross-evaluated with the manually curated genomes of Clostridium thermocellum ATCC 27405 and Saccharophagus degradans 2-40. The capability of the proposed framework to predict the function of unknown protein domains (DUF) and of hypothetical proteins in the genome of Neurospora crassa is demonstrated. The framework is implemented as a Web service, the CAZymes Analysis Toolkit (CAT), and is available at http://cricket.ornl.gov/cgi-bin/cat.cgi.

  18. Household Clustering of Escherichia coli Sequence Type 131 Clinical and Fecal Isolates According to Whole Genome Sequence Analysis

    PubMed Central

    Johnson, James R.; Davis, Gregg; Clabots, Connie; Johnston, Brian D.; Porter, Stephen; DebRoy, Chitrita; Pomputius, William; Ender, Peter T.; Cooperstock, Michael; Slater, Billie Savvas; Banerjee, Ritu; Miller, Sybille; Kisiela, Dagmara; Sokurenko, Evgeni V.; Aziz, Maliha; Price, Lance B.

    2016-01-01

    Background. Within-household sharing of strains from the resistance-associated H30R1 and H30Rx subclones of Escherichia coli sequence type 131 (ST131) has been inferred based on conventional typing data, but it has been assessed minimally using whole genome sequence (WGS) analysis. Methods. Thirty-three clinical and fecal isolates of ST131-H30R1 and ST131-H30Rx, from 20 humans and pets in 6 households, underwent WGS analysis for comparison with 52 published ST131 genomes. Phylogenetic relationships were inferred using a bootstrapped maximum likelihood tree based on core genome sequence polymorphisms. Accessory traits were compared between phylogenetically similar isolates. Results. In the WGS-based phylogeny, isolates clustered strictly by household, in clades that were distributed widely across the phylogeny, interspersed between H30R1 and H30Rx comparison genomes. For only 1 household did the core genome phylogeny place epidemiologically unlinked isolates together with household isolates, but even there multiple differences in accessory genome content clearly differentiated these 2 groups. The core genome phylogeny supported within-household strain sharing, fecal-urethral urinary tract infection pathogenesis (with the entire household potentially providing the fecal reservoir), and instances of host-specific microevolution. In 1 instance, the household's index strain persisted for 6 years before causing a new infection in a different household member. Conclusions. Within-household sharing of E coli ST131 strains was confirmed extensively at the genome level, as was long-term colonization and repeated infections due to an ST131-H30Rx strain. Future efforts toward surveillance and decolonization may need to address not just the affected patient but also other human and animal household members. PMID:27703993

  19. SAW: a graphical user interface for the analysis of immunoglobulin variable domain sequences.

    PubMed

    Elgavish, R A; Schroeder, H W

    1993-12-01

    The Sequence Analysis Workshop (SAW) is an interactive program for sequence analysis of immunoglobulin variable domains. Sequences for SAW can be obtained from GenBank or from a standard text file. SAW can compare a variable domain to as many as 100 different sequences, calculate the extent of homology, sort the sequences by their degree of similarity, translate the nucleotide codons into amino acids and then display the results in either a graphical or text format. These comparisons allow the investigator to determine the likely germ-line progenitors of a variable domain and to visualize how it differs from other antibody genes by functional region. SAW supports replacement and silent site substitution analysis by either codon or region, thus providing rapid insight into the forces that have shaped mutations. The sequence comparisons can be printed out as an aid for paper analysis or for preparation of figures for publication. SAW is written in Microsoft C for use with the Microsoft Windows graphics environment. The use of color and graphics, the generation of subsidiary windows that contain the results of specific analyses and the mouse-driven control of the program make SAW an easy-to-use tool for immunoglobulin sequence comparison. PMID:8292340

  20. IS406 and IS407, two gene-activating insertion sequences for Pseudomonas cepacia.

    PubMed

    Wood, M S; Byrne, A; Lessie, T G

    1991-08-30

    We have determined the nucleotide sequences of IS406 (1368 bp) and IS407 (1236 bp), two insertion sequence (IS) elements isolated from Pseudomonas cepacia 249 on the basis of their abilities to activate the expression of the lac genes of Tn951. IS406 and IS407 when inserted into the lac promoter/operator region of Tn951 generated, respectively, duplications of 8 and 4 bp of target DNA. IS406 had 41-bp terminal inverted repeat (IR) sequences with eleven mismatches. IR-L (left) contained a 12-bp motif present at the ends of Tn2501. In other respects, IS406 was distinct from previously described bacterial IS elements listed in the GenBank and EMBL databases. IS407 had 49-bp terminal IRs with 18 mismatches. IR-R (right) contained an outwardly directed sigma 70-like promoter. IS407 was closely related to IS476 and ISR1 from Xanthomonas and Rhizobium sp., respectively. PMID:1718819

  1. Probabilistic topic modeling for the analysis and classification of genomic sequences

    PubMed Central

    2015-01-01

    Background Studies on genomic sequences for classification and taxonomic identification have a leading role in the biomedical field and in the analysis of biodiversity. These studies are focusing on the so-called barcode genes, representing a well defined region of the whole genome. Recently, alignment-free techniques are gaining more importance because they are able to overcome the drawbacks of sequence alignment techniques. In this paper a new alignment-free method for DNA sequences clustering and classification is proposed. The method is based on k-mers representation and text mining techniques. Methods The presented method is based on Probabilistic Topic Modeling, a statistical technique originally proposed for text documents. Probabilistic topic models are able to find in a document corpus the topics (recurrent themes) characterizing classes of documents. This technique, applied on DNA sequences representing the documents, exploits the frequency of fixed-length k-mers and builds a generative model for a training group of sequences. This generative model, obtained through the Latent Dirichlet Allocation (LDA) algorithm, is then used to classify a large set of genomic sequences. Results and conclusions We performed classification of over 7000 16S DNA barcode sequences taken from Ribosomal Database Project (RDP) repository, training probabilistic topic models. The proposed method is compared to the RDP tool and Support Vector Machine (SVM) classification algorithm in a extensive set of trials using both complete sequences and short sequence snippets (from 400 bp to 25 bp). Our method reaches very similar results to RDP classifier and SVM for complete sequences. The most interesting results are obtained when short sequence snippets are considered. In these conditions the proposed method outperforms RDP and SVM with ultra short sequences and it exhibits a smooth decrease of performance, at every taxonomic level, when the sequence length is decreased. PMID:25916734

  2. The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis.

    PubMed

    Li, Jing-Woei; Robison, Keith; Martin, Marcel; Sjödin, Andreas; Usadel, Björn; Young, Matthew; Olivares, Eric C; Bolser, Dan M

    2012-01-01

    Recent advances in sequencing technology have created unprecedented opportunities for biological research. However, the increasing throughput of these technologies has created many challenges for data management and analysis. As the demand for sophisticated analyses increases, the development time of software and algorithms is outpacing the speed of traditional publication. As technologies continue to be developed, methods change rapidly, making publications less relevant for users. The SEQanswers wiki (SEQwiki) is a wiki database that is actively edited and updated by the members of the SEQanswers community (http://SEQanswers.com/). The wiki provides an extensive catalogue of tools, technologies and tutorials for high-throughput sequencing (HTS), including information about HTS service providers. It has been implemented in MediaWiki with the Semantic MediaWiki and Semantic Forms extensions to collect structured data, providing powerful navigation and reporting features. Within 2 years, the community has created pages for over 500 tools, with approximately 400 literature references and 600 web links. This collaborative effort has made SEQwiki the most comprehensive database of HTS tools anywhere on the web. The wiki includes task-focused mini-reviews of commonly used tools, and a growing collection of more than 100 HTS service providers. SEQwiki is available at: http://wiki.SEQanswers.com/. PMID:22086956

  3. The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis.

    PubMed

    Li, Jing-Woei; Robison, Keith; Martin, Marcel; Sjödin, Andreas; Usadel, Björn; Young, Matthew; Olivares, Eric C; Bolser, Dan M

    2012-01-01

    Recent advances in sequencing technology have created unprecedented opportunities for biological research. However, the increasing throughput of these technologies has created many challenges for data management and analysis. As the demand for sophisticated analyses increases, the development time of software and algorithms is outpacing the speed of traditional publication. As technologies continue to be developed, methods change rapidly, making publications less relevant for users. The SEQanswers wiki (SEQwiki) is a wiki database that is actively edited and updated by the members of the SEQanswers community (http://SEQanswers.com/). The wiki provides an extensive catalogue of tools, technologies and tutorials for high-throughput sequencing (HTS), including information about HTS service providers. It has been implemented in MediaWiki with the Semantic MediaWiki and Semantic Forms extensions to collect structured data, providing powerful navigation and reporting features. Within 2 years, the community has created pages for over 500 tools, with approximately 400 literature references and 600 web links. This collaborative effort has made SEQwiki the most comprehensive database of HTS tools anywhere on the web. The wiki includes task-focused mini-reviews of commonly used tools, and a growing collection of more than 100 HTS service providers. SEQwiki is available at: http://wiki.SEQanswers.com/.

  4. Full Genome Sequence and sfRNA Interferon Antagonist Activity of Zika Virus from Recife, Brazil

    PubMed Central

    Rezelj, Veronica V.; Clark, Jordan J.; Cordeiro, Marli T.; Freitas de Oliveira França, Rafael; Pena, Lindomar J.; Wilkie, Gavin S.; Da Silva Filipe, Ana; Davis, Christopher; Hughes, Joseph; Varjak, Margus; Selinger, Martin; Zuvanov, Luíza; Owsianka, Ania M.; Patel, Arvind H.; McLauchlan, John; Lindenbach, Brett D.; Fall, Gamou; Sall, Amadou A.; Biek, Roman; Rehwinkel, Jan; Schnettler, Esther; Kohl, Alain

    2016-01-01

    Background The outbreak of Zika virus (ZIKV) in the Americas has transformed a previously obscure mosquito-transmitted arbovirus of the Flaviviridae family into a major public health concern. Little is currently known about the evolution and biology of ZIKV and the factors that contribute to the associated pathogenesis. Determining genomic sequences of clinical viral isolates and characterization of elements within these are an important prerequisite to advance our understanding of viral replicative processes and virus-host interactions. Methodology/Principal findings We obtained a ZIKV isolate from a patient who presented with classical ZIKV-associated symptoms, and used high throughput sequencing and other molecular biology approaches to determine its full genome sequence, including non-coding regions. Genome regions were characterized and compared to the sequences of other isolates where available. Furthermore, we identified a subgenomic flavivirus RNA (sfRNA) in ZIKV-infected cells that has antagonist activity against RIG-I induced type I interferon induction, with a lesser effect on MDA-5 mediated action. Conclusions/Significance The full-length genome sequence including non-coding regions of a South American ZIKV isolate from a patient with classical symptoms will support efforts to develop genetic tools for this virus. Detection of sfRNA that counteracts interferon responses is likely to be important for further understanding of pathogenesis and virus-host interactions. PMID:27706161

  5. Nucleotide Sequences and Modifications That Determine RIG-I/RNA Binding and Signaling Activities

    PubMed Central

    Uzri, Dina; Gehrke, Lee

    2009-01-01

    Cytoplasmic viral RNAs with 5′ triphosphates (5′ppp) are detected by the RNA helicase RIG-I, initiating downstream signaling and alpha/beta interferon (IFN-α/β) expression that establish an antiviral state. We demonstrate here that the hepatitis C virus (HCV) 3′ untranslated region (UTR) RNA has greater activity as an immune stimulator than several flavivirus UTR RNAs. We confirmed that the HCV 3′-UTR poly(U/UC) region is the determinant for robust activation of RIG-I-mediated innate immune signaling and that its antisense sequence, poly(AG/A), is an equivalent RIG-I activator. The poly(U/UC) region of the fulminant HCV JFH-1 strain was a relatively weak activator, while the antisense JFH-1 strain poly(AG/A) RNA was very potent. Poly(U/UC) activity does not require primary nucleotide sequence adjacency to the 5′ppp, suggesting that RIG-I recognizes two independent RNA domains. Whereas poly(U) 50-nt or poly(A) 50-nt sequences were minimally active, inserting a single C or G nucleotide, respectively, into these RNAs increased IFN-β expression. Poly(U/UC) RNAs transcribed in vitro using modified uridine 2′ fluoro or pseudouridine ribonucleotides lacked signaling activity while functioning as competitive inhibitors of RIG-I binding and IFN-β expression. Nucleotide base and ribose modifications that convert activator RNAs into competitive inhibitors of RIG-I signaling may be useful as modulators of RIG-I-mediated innate immune responses and as tools to dissect the RNA binding and conformational events associated with signaling. PMID:19224987

  6. The multifaceted nature of the relationship between performance and brain activity in motor sequence learning.

    PubMed

    Orban, Pierre; Peigneux, Philippe; Lungu, Ovidiu; Albouy, Geneviève; Breton, Estelle; Laberenne, Frédéric; Benali, Habib; Maquet, Pierre; Doyon, Julien

    2010-01-01

    The 'learning and performance' conundrum has for a long time puzzled the field of cognitive neuroscience. Deciphering the genuine functional neuroanatomy of motor sequence learning, among that of other skills, has thereby been hampered. The main caveat is that changes in neural activity that inherently accompany task practice may not only reflect the learning process per se, but also the basic motor implementation of improved performance. Previous research has attempted to control for a performance confound in brain activity by adopting methodologies that prevent changes in performance. However, blocking the expression of performance is likely to distort the very nature of the motor sequence learning process, and may thus represent a major confound in itself. In the present study, we postulated that both learning-dependent plasticity mechanisms and learning-independent implementation processes are nested within the relationship that exists between performance and brain activity. Functional magnetic resonance imaging (fMRI) was used to map brain responses in healthy volunteers while they either (a) learned a novel sequence, (b) produced a highly automatized sequence or (c) executed non-sequential movements matched for speed frequency. In order to dissociate between qualitatively distinct, but intertwined, relationships between performance and neural activity, our analyses focused on correlations between variations in performance and brain activity, and how this relationship differs or shares commonalities between conditions. Results revealed that activity in the putamen and contralateral lobule VI of the cerebellum most strongly correlated with performance during learning per se, suggesting their key role in this process. By contrast, activity in a parallel cerebellar network, as well as in motor and premotor cortical areas, was modulated by performance during learning and during one or both control condition(s), suggesting the primary contribution of these areas in

  7. Sequence analysis of the omp2 region of Chlamydia psittaci strain GPIC: structural and functional implications.

    PubMed

    Hsia, R C; Bavoil, P M

    1996-10-17

    The nucleotide sequence of a 3.1-kb genomic DNA fragment carrying the omp3, omp2 and srp gene homologs from Chlamydia psittaci strain GPIC was determined. A comparative analysis of the GPIC sequence with other chlamydial omp2-linked sequences reveals highly conserved omp3 and omp2 upstream sequences across species, suggesting a unified mechanism of transcription regulation. In contrast, the omp2-srp intergenic segment, which encompasses hypothetical srp transcriptional initiation sites, is relatively less conserved in length and in sequence. Examination of the predicted translation products reveals a high degree of homology within Omp3 and Omp2 across species, with the notable exception of the N-terminal fifth of Omp2. Although the latter segment displays relatively high interspecies sequence variation, it includes a smaller segment, whose high positive charge density is conserved across species, suggesting a conserved structure/function. In contrast to Omp2 and Omp3, a comparative analysis of the predicted amino acid (aa) sequence of the srp product reveals high homology within species, but relatively little across species. A 38-aa segment near the C-terminus of Srp, whose sequence is 64% identical between C. psittaci GPIC and C. trachomatis, is partially truncated in C. psittaci 6BC.

  8. LOESS correction for length variation in gene set-based genomic sequence analysis

    PubMed Central

    Aboukhalil, Anton; Bulyk, Martha L.

    2012-01-01

    Motivation: Sequence analysis algorithms are often applied to sets of DNA, RNA or protein sequences to identify common or distinguishing features. Controlling for sequence length variation is critical to properly score sequence features and identify true biological signals rather than length-dependent artifacts. Results: Several cis-regulatory module discovery algorithms exhibit a substantial dependence between DNA sequence score and sequence length. Our newly developed LOESS method is flexible in capturing diverse score-length relationships and is more effective in correcting DNA sequence scores for length-dependent artifacts, compared with four other approaches. Application of this method to genes co-expressed during Drosophila melanogaster embryonic mesoderm development or neural development scored by the Lever motif analysis algorithm resulted in successful recovery of their biologically validated cis-regulatory codes. The LOESS length-correction method is broadly applicable, and may be useful not only for more accurate inference of cis-regulatory codes, but also for detection of other types of patterns in biological sequences. Availability: Source code and compiled code are available from http://thebrain.bwh.harvard.edu/LM_LOESS/ Contact: mlbulyk@receptor.med.harvard.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:22492312

  9. Molecular cloning and sequencing analysis of the interferon β from Coturnix.

    PubMed

    Zheng, Bei; Chang, Wei-Shan

    2014-01-01

    One pair of primers was designed according to Gallus and Meleagris gallopavo interferon β (IFN-β) sequences published in GenBank. The primers and RNA extraction from the spleen of Coturnix were used to amplify Coturnix IFN-β cDNA by real-time polymerase chain reaction (RT-PCR). The product was cloned into pEasy-T1 vector. Evaluating recombinant plasmid by PCR and restriction enzyme digestion. Sequence the cloning sequences, comparing the sequencing results by NCBI. We successfully got a Coturnix IFN-β partial sequence. The sequence was subtyped and put to homologous analysis. The results suggested the homology of IFN-β gene of Coturnix and gene of Coturnix and chicken (88.7%), the homology of IFN-β gene of Coturnix and chicken (88.7%), the homology of IFN-β gene of Coturnix and Anas platyrhynchos (72.5%), the homology of IFN-β sequence registered in GenBank. The analysis of the genetic tree showed that the relationship of Coturnix and chicken IFN-β had a high homology. It can be seen that in this study we successfully got a partial sequence of IFN-β of quail. PMID:26155095

  10. Fission Yeast Hotspot Sequence Motifs Are Also Active in Budding Yeast

    PubMed Central

    Steiner, Walter W.; Steiner, Estelle M.

    2012-01-01

    In most organisms, including humans, meiotic recombination occurs preferentially at a limited number of sites in the genome known as hotspots. There has been substantial progress recently in elucidating the factors determining the location of meiotic recombination hotspots, and it is becoming clear that simple sequence motifs play a significant role. In S. pombe, there are at least five unique sequence motifs that have been shown to produce hotspots of recombination, and it is likely that there are more. In S. cerevisiae, simple sequence motifs have also been shown to produce hotspots or show significant correlations with hotspots. Some of the hotspot motifs in both yeasts are known or suspected to bind transcription factors (TFs), which are required for the activity of those hotspots. Here we show that four of the five hotspot motifs identified in S. pombe also create hotspots in the distantly related budding yeast S. cerevisiae. For one of these hotspots, M26 (also called CRE), we identify TFs, Cst6 and Sko1, that activate and inhibit the hotspot, respectively. In addition, two of the hotspot motifs show significant correlations with naturally occurring hotspots. The conservation of these hotspots between the distantly related fission and budding yeasts suggests that these sequence motifs, and others yet to be discovered, may function widely as hotspots in many diverse organisms. PMID:23300865

  11. Targeted Sequencing and Meta-Analysis of Preterm Birth

    PubMed Central

    Schuster, Jessica; McGonnigal, Bethany; Dewan, Andrew; Padbury, James

    2016-01-01

    Understanding the genetic contribution(s) to the risk of preterm birth may lead to the development of interventions for treatment, prediction and prevention. Twin studies suggest heritability of preterm birth is 36–40%. Large epidemiological analyses support a primary maternal origin for recurrence of preterm birth, with little effect of paternal or fetal genetic factors. We exploited an “extreme phenotype” of preterm birth to leverage the likelihood of genetic discovery. We compared variants identified by targeted sequencing of women with 2–3 generations of preterm birth with term controls without history of preterm birth. We used a meta-genomic, bi-clustering algorithm to identify gene sets coordinately associated with preterm birth. We identified 33 genes including 217 variants from 5 modules that were significantly different between cases and controls. The most frequently identified and connected genes in the exome library were IGF1, ATM and IQGAP2. Likewise, SOS1, RAF1 and AKT3 were most frequent in the haplotype library. Additionally, SERPINB8, AZU1 and WASF3 showed significant differences in abundance of variants in the univariate comparison of cases and controls. The biological processes impacted by these gene sets included: cell motility, migration and locomotion; response to glucocorticoid stimulus; signal transduction; metabolic regulation and control of apoptosis. PMID:27163930

  12. Mapping and analysis of Caenorhabditis elegans transcription factor sequence specificities

    PubMed Central

    Narasimhan, Kamesh; Lambert, Samuel A; Yang, Ally WH; Riddell, Jeremy; Mnaimneh, Sanie; Zheng, Hong; Albu, Mihai; Najafabadi, Hamed S; Reece-Hoyes, John S; Fuxman Bass, Juan I; Walhout, Albertha JM; Weirauch, Matthew T; Hughes, Timothy R

    2015-01-01

    Caenorhabditis elegans is a powerful model for studying gene regulation, as it has a compact genome and a wealth of genomic tools. However, identification of regulatory elements has been limited, as DNA-binding motifs are known for only 71 of the estimated 763 sequence-specific transcription factors (TFs). To address this problem, we performed protein binding microarray experiments on representatives of canonical TF families in C. elegans, obtaining motifs for 129 TFs. Additionally, we predict motifs for many TFs that have DNA-binding domains similar to those already characterized, increasing coverage of binding specificities to 292 C. elegans TFs (∼40%). These data highlight the diversification of binding motifs for the nuclear hormone receptor and C2H2 zinc finger families and reveal unexpected diversity of motifs for T-box and DM families. Motif enrichment in promoters of functionally related genes is consistent with known biology and also identifies putative regulatory roles for unstudied TFs. DOI: http://dx.doi.org/10.7554/eLife.06967.001 PMID:25905672

  13. Are physicians prepared for whole genome sequencing? a qualitative analysis.

    PubMed

    Christensen, K D; Vassy, J L; Jamal, L; Lehmann, L S; Slashinski, M J; Perry, D L; Robinson, J O; Blumenthal-Barby, J; Feuerman, L Z; Murray, M F; Green, R C; McGuire, A L

    2016-02-01

    Although the integration of whole genome sequencing (WGS) into standard medical practice is rapidly becoming feasible, physicians may be unprepared to use it. Primary care physicians (PCPs) and cardiologists enrolled in a randomized clinical trial of WGS received genomics education before completing semi-structured interviews. Themes about preparedness were identified in transcripts through team-based consensus-coding. Data from 11 PCPs and 9 cardiologists suggested that physicians enrolled in the trial primarily to prepare themselves for widespread use of WGS in the future. PCPs were concerned about their general genomic knowledge, while cardiologists were concerned about how to interpret specific types of results and secondary findings. Both cohorts anticipated preparing extensively before disclosing results to patients by using educational resources with which they were already familiar, and both cohorts anticipated making referrals to genetics specialists as needed. A lack of laboratory guidance, time pressures, and a lack of standards contributed to feeling unprepared. Physicians had specialty-specific concerns about their preparedness to use WGS. Findings identify specific policy changes that could help physicians feel more prepared, and highlight how providers of all types will need to become familiar with interpreting WGS results.

  14. Advanced accident sequence precursor analysis level 2 models

    SciTech Connect

    Galyean, W.J.; Brownson, D.A.; Rempe, J.L.

    1996-03-01

    The U.S. Nuclear Regulatory Commission Accident Sequence Precursor program pursues the ultimate objective of performing risk significant evaluations on operational events (precursors) occurring in commercial nuclear power plants. To achieve this objective, the Office of Nuclear Regulatory Research is supporting the development of simple probabilistic risk assessment models for all commercial nuclear power plants (NPP) in the U.S. Presently, only simple Level 1 plant models have been developed which estimate core damage frequencies. In order to provide a true risk perspective, the consequences associated with postulated core damage accidents also need to be considered. With the objective of performing risk evaluations in an integrated and consistent manner, a linked event tree approach which propagates the front end results to back end was developed. This approach utilizes simple plant models that analyze the response of the NPP containment structure in the context of a core damage accident, estimate the magnitude and timing of a radioactive release to the environment, and calculate the consequences for a given release. Detailed models and results from previous studies, such as the NUREG-1150 study, are used to quantify these simple models. These simple models are then linked to the existing Level 1 models, and are evaluated using the SAPHIRE code. To demonstrate the approach, prototypic models have been developed for a boiling water reactor, Peach Bottom, and a pressurized water reactor, Zion.

  15. Secure distributed genome analysis for GWAS and sequence comparison computation

    PubMed Central

    2015-01-01

    Background The rapid increase in the availability and volume of genomic data makes significant advances in biomedical research possible, but sharing of genomic data poses challenges due to the highly sensitive nature of such data. To address the challenges, a competition for secure distributed processing of genomic data was organized by the iDASH research center. Methods In this work we propose techniques for securing computation with real-life genomic data for minor allele frequency and chi-squared statistics computation, as well as distance computation between two genomic sequences, as specified by the iDASH competition tasks. We put forward novel optimizations, including a generalization of a version of mergesort, which might be of independent interest. Results We provide implementation results of our techniques based on secret sharing that demonstrate practicality of the suggested protocols and also report on performance improvements due to our optimization techniques. Conclusions This work describes our techniques, findings, and experimental results developed and obtained as part of iDASH 2015 research competition to secure real-life genomic computations and shows feasibility of securely computing with genomic data in practice. PMID:26733307

  16. Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants

    PubMed Central

    Gundry, Michael; Vijg, Jan

    2011-01-01

    DNA mutations are the source of genetic variation within populations. The majority of mutations with observable effects are deleterious. In humans mutations in the germ line can cause genetic disease. In somatic cells multiple rounds of mutations and selection lead to cancer. The study of genetic variation has progressed rapidly since the completion of the draft sequence of the human genome. Recent advances in sequencing technology, most importantly the introduction of massively parallel sequencing (MPS), have resulted in more than a hundred-fold reduction in the time and cost required for sequencing nucleic acids. These improvements have greatly expanded the use of sequencing as a practical tool for mutation analysis. While in the past the high cost of sequencing limited mutation analysis to selectable markers or small forward mutation targets assumed to be representative for the genome overall, current platforms allow whole genome sequencing for less than $5,000. This has already given rise to direct estimates of germline mutation rates in multiple organisms including humans by comparing whole genome sequences between parents and offspring. Here we present a brief history of the field of mutation research, with a focus on classical tools for the measurement of mutation rates. We then review MPS, how it is currently applied and the new insight into human and animal mutation frequencies and spectra that has been obtained from whole genome sequencing. While great progress has been made, we note that the single most important limitation of current MPS approaches for mutation analysis is the inability to address low-abundance mutations that turn somatic tissues into mosaics of cells. Such mutations are at the basis of intra-tumor heterogeneity, with important implications for clinical diagnosis, and could also contribute to somatic diseases other than cancer, including aging. Some possible approaches to gain access to low-abundance mutations are discussed, with a

  17. MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data

    PubMed Central

    Huson, Daniel H.; Beier, Sina; Flade, Isabell; Ruscheweyh, Hans-Joachim; Tappu, Rewati

    2016-01-01

    There is increasing interest in employing shotgun sequencing, rather than amplicon sequencing, to analyze microbiome samples. Typical projects may involve hundreds of samples and billions of sequencing reads. The comparison of such samples against a protein reference database generates billions of alignments and the analysis of such data is computationally challenging. To address this, we have substantially rewritten and extended our widely-used microbiome analysis tool MEGAN so as to facilitate the interactive analysis of the taxonomic and functional content of very large microbiome datasets. Other new features include a functional classifier called InterPro2GO, gene-centric read assembly, principal coordinate analysis of taxonomy and function, and support for metadata. The new program is called MEGAN Community Edition (CE) and is open source. By integrating MEGAN CE with our high-throughput DNA-to-protein alignment tool DIAMOND and by providing a new program MeganServer that allows access to metagenome analysis files hosted on a server, we provide a straightforward, yet powerful and complete pipeline for the analysis of metagenome shotgun sequences. We illustrate how to perform a full-scale computational analysis of a metagenomic sequencing project, involving 12 samples and 800 million reads, in less than three days on a single server. All source code is available here: https://github.com/danielhuson/megan-ce PMID:27327495

  18. MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data.

    PubMed

    Huson, Daniel H; Beier, Sina; Flade, Isabell; Górska, Anna; El-Hadidi, Mohamed; Mitra, Suparna; Ruscheweyh, Hans-Joachim; Tappu, Rewati

    2016-06-01

    There is increasing interest in employing shotgun sequencing, rather than amplicon sequencing, to analyze microbiome samples. Typical projects may involve hundreds of samples and billions of sequencing reads. The comparison of such samples against a protein reference database generates billions of alignments and the analysis of such data is computationally challenging. To address this, we have substantially rewritten and extended our widely-used microbiome analysis tool MEGAN so as to facilitate the interactive analysis of the taxonomic and functional content of very large microbiome datasets. Other new features include a functional classifier called InterPro2GO, gene-centric read assembly, principal coordinate analysis of taxonomy and function, and support for metadata. The new program is called MEGAN Community Edition (CE) and is open source. By integrating MEGAN CE with our high-throughput DNA-to-protein alignment tool DIAMOND and by providing a new program MeganServer that allows access to metagenome analysis files hosted on a server, we provide a straightforward, yet powerful and complete pipeline for the analysis of metagenome shotgun sequences. We illustrate how to perform a full-scale computational analysis of a metagenomic sequencing project, involving 12 samples and 800 million reads, in less than three days on a single server. All source code is available here: https://github.com/danielhuson/megan-ce. PMID:27327495

  19. Comparative sequence analysis of a gene-dense region among closely related species of Drosophila melanogaster.

    PubMed

    Kawahara, Yoshihiro; Matsuo, Takashi; Nozawa, Masafumi; Shin-I, Tadasu; Kohara, Yuji; Aigaki, Toshiro

    2004-12-01

    Comparative sequence analysis among closely related species is essential for investigating the evolution of non-coding sequences, which evolve more rapidly than protein-coding sequences. We sequenced the cytogenetic map 56F10-16, a gene-dense region of D. simulans and D. sechellia, closely related species to D. melanogaster. About 57 kb of the genomic sequences containing 19 genes were annotated from each species according to the corresponding region of the D. melanogaster genome. The order and orientation of genes were perfectly conserved among the three species, and no transposable elements were found. The rate of nucleotide substitutions in the non-coding sequences was lower than that at the fourfold-degenerate sites, implying functional constraints in the non-coding regions. The sequence information from three closely related species, allowed us to estimate the insertions and the deletions that may have occurred in the lineages of D. simulans and D. sechellia using the D. melanogaster sequence as an outgroup. The number of deletions was twice that of insertions for the introns of D. simulans. More remarkably, the deletion outnumbered insertions by 7.5 times for the intergenic sequences of D. sechellia. These results suggest that the non-coding sequences have been shortened by deletion biases. However, the deletion bias was lower than that previously estimated for pseudogenes, suggesting that the non-coding sequences are already rich in functional elements, possibly involved in the regulation of gene expression including transcription and pre-mRNA processing. These features of non-coding sequences may be common to other gene-dense regions contributing to the compactness of the Drosophila genome.

  20. [Identification of tetracenomycin X from a marine-derived Saccharothrix sp. guided by genes sequence analysis].

    PubMed

    Liu, Bin; Tan, Yi; Gan, Mao-Luo; Zhou, Hong-Xia; Wang, Yi-Guang; Ping, Yu-Hui; Li, Bin; Yang, Zhao-Yong; Xiao, Chun-Ling

    2014-02-01

    The crude extracts of the fermentation broth from a marine sediment-derived actinomycete strain, Saccharothrix sp. 10-10, showed significant antibacterial activities against drug-resistant pathogens. A genome-mining PCR-based experiment targeting the genes encoding key enzymes involved in the biosynthesis of secondary metabolites indicated that the strain 10-10 showed the potential to produce tetracenomycin-like compounds. Further chemical investigation of the cultures of this strain led to the identification of two antibiotics, including a tetracenomycin (Tcm) analogs, Tcm X (1), and a tomaymycin derivative, oxotomaymycin (2). Their structures were identified by spectroscopic data analysis, including UV, 1D-NMR, 2D-NMR and MS spectra. Tcm X (1) showed moderate antibacterial activities against a number of drug-resistant pathogens, including methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) pathogens, with the MIC values in the range of 32-64 microg x mL(-1). In addition, 1 also displayed significant cytotoxic activities against human cancer cell lines, including HL60 (leukemia), HepG2 (liver), and MCF-7 (breast) with the IC 50 values of 5.1, 9.7 and 18.0 micromol x L(-1), respectively. Guided by the PCR-based gene sequence analysis, Tcm X (1) and oxotomaymycin (2) were identified from the genus of Saccharothrix and their 13C NMR data were correctly assigned on the basis of 2D NMR spectroscopic data analysis for the first time. PMID:24761614

  1. Transcriptomic analysis of different stages of pigeon ovaries by RNA-sequencing.

    PubMed

    Xu, Xiaoqin; Zhao, Xuting; Lu, Lizhi; Duan, Xiujun; Qin, Haorong; Du, Xue; Li, Guoqin; Tao, Zhengrong; Zhong, Shengliang; Wang, Genlin

    2016-07-01

    The pigeon ovary is an ideal model for deciphering the molecular mechanism of folliculogenesis. While most analysis has focused on the influence of hormones and factors on ovarian follicle development in this model, changes occurring in the ovarian stroma can also be extremely informative. Here, we profiled the transcriptome of pigeon ovaries at pre-ovulation, post-ovulation, and 5-6 days after ovulation using RNA-sequencing to gain insights into the molecular and cellular events mediating ovary activity. We obtained 44,784,505 clean reads that aligned with 14,088 genes. Gene expression profile analysis identified 409 differentially expressed genes between pre- and post-ovulation; 96 genes were up-regulated genes while 313 genes were down-regulated. Gene ontology analysis of the down-regulated genes revealed significant enrichment in components of the immune response, immune system, antigen processing and presentation, receptor binding, and biological adhesion. Pathway analyses of the high-expression genes of the post-ovulation ovary identified enrichment in phagosomes, lysosomes, cytokine-cytokine receptor interactions, cell adhesion molecules, and the Toll-like receptor signaling. These data together suggest that post-ovulatory follicle regression and elimination occurs through an immune response. Mol. Reprod. Dev. 83: 640-648, 2016. © 2016 Wiley Periodicals, Inc. PMID:27404894

  2. Transcriptomic analysis of different stages of pigeon ovaries by RNA-sequencing.

    PubMed

    Xu, Xiaoqin; Zhao, Xuting; Lu, Lizhi; Duan, Xiujun; Qin, Haorong; Du, Xue; Li, Guoqin; Tao, Zhengrong; Zhong, Shengliang; Wang, Genlin

    2016-07-01

    The pigeon ovary is an ideal model for deciphering the molecular mechanism of folliculogenesis. While most analysis has focused on the influence of hormones and factors on ovarian follicle development in this model, changes occurring in the ovarian stroma can also be extremely informative. Here, we profiled the transcriptome of pigeon ovaries at pre-ovulation, post-ovulation, and 5-6 days after ovulation using RNA-sequencing to gain insights into the molecular and cellular events mediating ovary activity. We obtained 44,784,505 clean reads that aligned with 14,088 genes. Gene expression profile analysis identified 409 differentially expressed genes between pre- and post-ovulation; 96 genes were up-regulated genes while 313 genes were down-regulated. Gene ontology analysis of the down-regulated genes revealed significant enrichment in components of the immune response, immune system, antigen processing and presentation, receptor binding, and biological adhesion. Pathway analyses of the high-expression genes of the post-ovulation ovary identified enrichment in phagosomes, lysosomes, cytokine-cytokine receptor interactions, cell adhesion molecules, and the Toll-like receptor signaling. These data together suggest that post-ovulatory follicle regression and elimination occurs through an immune response. Mol. Reprod. Dev. 83: 640-648, 2016. © 2016 Wiley Periodicals, Inc.

  3. Salivary histatin 5: dependence of sequence, chain length, and helical conformation for candidacidal activity.

    PubMed

    Raj, P A; Edgerton, M; Levine, M J

    1990-03-01

    Histatin 5 (Asp1-Ser-His-Ala4-Lys-Arg-His-His8-Gly-Tyr-Lys-Arg12-Lys-Ph e-His-Glu16-Lys-His - His-Ser20-His-Arg-Gly-Tyr24), one of the basic histidine-rich peptides present in human parotid saliva and several of its fragments, 1-16 (N16), 9-24 (C16), 11-24 (C14), 13-24 (C12), 15-24 (C10), and 7-16 (M10), were synthesized by solid-phase procedures. Native histatin 5 from human parotid saliva was also purified. Their antifungal activities on two strains of Candida albicans have been studied and their conformational preferences both in aqueous and non-aqueous solutions examined by circular dichroism. The synthetic histatin 5, C16, and C14 peptides were highly active and inhibited the growth of C. albicans. The candidacidal activity data of synthetic histatin 5 were comparable to the values of the native histatin 5 isolated from parotid saliva and those reported previously, although the assay system used and the strains examined were different. The C16 fragment was as active as the whole peptide itself, whereas the N16 fragment was far less active than C14, suggesting that the sequence at the C-terminal is important for its fungicidal activity. An increase in the chain length of the C-terminal sequence from 12 to 16 residues increased the candidacidal activity, thereby indicating that a peptide chain length of at least 12 residues is necessary to elicit optimum biological activity. The CD spectra of these linear peptides showed that they are structurally more flexible, and they adopt different conformations depending on the solvent environment. CD studies provided evidence that histatin 5 and the longer fragments, C16, N16, and C14 preferred alpha-helical conformations in non-aqueous solvents such as trifluoroethanol and methanol, while in water and pH 7.4 phosphate buffers, they favored random coil structures. The shorter sequences seemed to adopt either turn structures or unordered structures both in aqueous and non-aqueous solutions. It appears that the sequence at

  4. Combined sequence-based and genetic mapping analysis of complex traits in outbred rats

    PubMed Central

    Baud, Amelie; Hermsen, Roel; Guryev, Victor; Stridh, Pernilla; Graham, Delyth; McBride, Martin W.; Foroud, Tatiana; Calderari, Sophie; Diez, Margarita; Ockinger, Johan; Beyeen, Amennai D.; Gillett, Alan; Abdelmagid, Nada; Guerreiro-Cacais, Andre Ortlieb; Jagodic, Maja; Tuncel, Jonatan; Norin, Ulrika; Beattie, Elisabeth; Huynh, Ngan; Miller, William H.; Koller, Daniel L.; Alam, Imranul; Falak, Samreen; Osborne-Pellegrin, Mary; Martinez-Membrives, Esther; Canete, Toni; Blazquez, Gloria; Vicens-Costa, Elia; Mont-Cardona, Carme; Diaz-Moran, Sira; Tobena, Adolf; Hummel, Oliver; Zelenika, Diana; Saar, Kathrin; Patone, Giannino; Bauerfeind, Anja; Bihoreau, Marie-Therese; Heinig, Matthias; Lee, Young-Ae; Rintisch, Carola; Schulz, Herbert; Wheeler, David A.; Worley, Kim C.; Muzny, Donna M.; Gibbs, Richard A.; Lathrop, Mark; Lansu, Nico; Toonen, Pim; Ruzius, Frans Paul; de Bruijn, Ewart; Hauser, Heidi; Adams, David J.; Keane, Thomas; Atanur, Santosh S.; Aitman, Tim J.; Flicek, Paul; Malinauskas, Tomas; Jones, E. Yvonne; Ekman, Diana; Lopez-Aumatell, Regina; Dominiczak, Anna F; Johannesson, Martina; Holmdahl, Rikard; Olsson, Tomas; Gauguier, Dominique; Hubner, Norbert; Fernandez-Teruel, Alberto; Cuppen, Edwin; Mott, Richard; Flint, Jonathan

    2013-01-01

    Genetic mapping on fully sequenced individuals is transforming our understanding of the relationship between molecular variation and variation in complex traits. Here we report a combined sequence and genetic mapping analysis in outbred rats that maps 355 quantitative trait loci for 122 phenotypes. We identify 35 causal genes involved in 31 phenotypes, implicating novel genes in models of anxiety, heart disease and multiple sclerosis. The relation between sequence and genetic variation is unexpectedly complex: at approximately 40% of quantitative trait loci a single sequence variant cannot account for the phenotypic effect. Using comparable sequence and mapping data from mice, we show the extent and spatial pattern of variation in inbred rats differ significantly from those of inbred mice, and that the genetic variants in orthologous genes rarely contribute to the same phenotype in both species. PMID:23708188

  5. Sequence determination and analysis of the NSs genes of two tospoviruses.

    PubMed

    Hallwass, Mariana; Leastro, Mikhail O; Lima, Mirtes F; Inoue-Nagata, Alice K; Resende, Renato O

    2012-03-01

    The tospoviruses groundnut ringspot virus (GRSV) and zucchini lethal chlorosis virus (ZLCV) cause severe losses in many crops, especially in solanaceous and cucurbit species. In this study, the non-structural NSs gene and the 5'UTRs of these two biologically distinct tospoviruses were cloned and sequenced. The NSs sequence of GRSV and ZLCV were both 1,404 nucleotides long. Pairwise comparison showed that the NSs amino acid sequence of GRSV shared 69.6% identity with that of ZLCV and 75.9% identity with that of TSWV, while the NSs sequence of ZLCV and TSWV shared 67.9% identity. Phylogenetic analysis based on NSs sequences confirmed that these viruses cluster in the American clade. PMID:22187101

  6. Applying machine learning techniques to DNA sequence analysis. Progress report, February 14, 1991--February 13, 1992

    SciTech Connect

    Shavlik, J.W.

    1992-04-01

    We are developing a machine learning system that modifies existing knowledge about specific types of biological sequences. It does this by considering sample members and nonmembers of the sequence motif being learned. Using this information (which we call a ``domain theory``), our learning algorithm produces a more accurate representation of the knowledge needed to categorize future sequences. Specifically, the KBANN algorithm maps inference rules, such as consensus sequences, into a neural (connectionist) network. Neural network training techniques then use the training examples of refine these inference rules. We have been applying this approach to several problems in DNA sequence analysis and have also been extending the capabilities of our learning system along several dimensions.

  7. Combined sequence-based and genetic mapping analysis of complex traits in outbred rats.

    PubMed

    Baud, Amelie; Hermsen, Roel; Guryev, Victor; Stridh, Pernilla; Graham, Delyth; McBride, Martin W; Foroud, Tatiana; Calderari, Sophie; Diez, Margarita; Ockinger, Johan; Beyeen, Amennai D; Gillett, Alan; Abdelmagid, Nada; Guerreiro-Cacais, Andre Ortlieb; Jagodic, Maja; Tuncel, Jonatan; Norin, Ulrika; Beattie, Elisabeth; Huynh, Ngan; Miller, William H; Koller, Daniel L; Alam, Imranul; Falak, Samreen; Osborne-Pellegrin, Mary; Martinez-Membrives, Esther; Canete, Toni; Blazquez, Gloria; Vicens-Costa, Elia; Mont-Cardona, Carme; Diaz-Moran, Sira; Tobena, Adolf; Hummel, Oliver; Zelenika, Diana; Saar, Kathrin; Patone, Giannino; Bauerfeind, Anja; Bihoreau, Marie-Therese; Heinig, Matthias; Lee, Young-Ae; Rintisch, Carola; Schulz, Herbert; Wheeler, David A; Worley, Kim C; Muzny, Donna M; Gibbs, Richard A; Lathrop, Mark; Lansu, Nico; Toonen, Pim; Ruzius, Frans Paul; de Bruijn, Ewart; Hauser, Heidi; Adams, David J; Keane, Thomas; Atanur, Santosh S; Aitman, Tim J; Flicek, Paul; Malinauskas, Tomas; Jones, E Yvonne; Ekman, Diana; Lopez-Aumatell, Regina; Dominiczak, Anna F; Johannesson, Martina; Holmdahl, Rikard; Olsson, Tomas; Gauguier, Dominique; Hubner, Norbert; Fernandez-Teruel, Alberto; Cuppen, Edwin; Mott, Richard; Flint, Jonathan

    2013-07-01

    Genetic mapping on fully sequenced individuals is transforming understanding of the relationship between molecular variation and variation in complex traits. Here we report a combined sequence and genetic mapping analysis in outbred rats that maps 355 quantitative trait loci for 122 phenotypes. We identify 35 causal genes involved in 31 phenotypes, implicating new genes in models of anxiety, heart disease and multiple sclerosis. The relationship between sequence and genetic variation is unexpectedly complex: at approximately 40% of quantitative trait loci, a single sequence variant cannot account for the phenotypic effect. Using comparable sequence and mapping data from mice, we show that the extent and spatial pattern of variation in inbred rats differ substantially from those of inbred mice and that the genetic variants in orthologous genes rarely contribute to the same phenotype in both species.

  8. Molecular analysis of Leonurus species in China based on ITS and matK sequences.

    PubMed

    Yang, Zhi-Ye; Pan, Sheng-Li; Huo, Ke-Ke; Wu, Bing-Yi; Chao, Zhi

    2011-01-01

    The genus Leonurus has long been recognized as a natural group, but its interspecific relationship has not yet been studied in the light of sequence data. The ITS regions and matK sequences of all subgenera of Leonurus in China were amplified, sequenced and investigated. Phylogenies generated by maximum parsimony and neighbor-joining methods and division of the genus into two major clades. The phylogenetic results indicated that L. chaituroides has the very close phylogenetic relationship with Subg. Cardiochilium and supported the notion that L. macranthus acts as the bridge between Subg. cardiochilium and Subg. Leonurus. According to the analysis of information given by ITS and matK sequences, we suggest that ITS sequences would be more suitable to serve as markers for authentication of Herba Leonuri than matK does.

  9. Analysis of similarity/dissimilarity of DNA sequences based on convolutional code model.

    PubMed

    Liu, Xiao; Tian, Feng Chun; Wang, Shi Yuan

    2010-02-01

    Based on the convolutional code model of error-correction coding theory, we propose an approach to characterize and compare DNA sequences with consideration of the effect of codon context. We construct an 8-component vector whose components are the normalized leading eigenvalues of the L/L and M/M matrices associated with the original DNA sequences and the transformed sequences. The utility of our approach is illustrated by the examination of the similarities/dissimilarities among the coding sequences of the first exon of beta-globin gene of 11 species, and the efficiency of error-correction coding theory in analysis of similarity/dissimilarity of DNA sequences is represented.

  10. Promoter-like sequences regulating transcriptional activity in neurexin and neuroligin genes.

    PubMed

    Runkel, Fabian; Rohlmann, Astrid; Reissner, Carsten; Brand, Stefan-Martin; Missler, Markus

    2013-10-01

    Synapse function requires the cell-adhesion molecules neurexins (Nrxn) and neuroligins (Nlgn). Although these molecules are essential for neurotransmission and prefer distinct isoform combinations for interaction, little is known about their transcriptional regulation. Here, we started to explore this important aspect because expression of Nrxn1-3 and Nlgn1-3 genes is altered in mice lacking the transcriptional regulator methyl-CpG-binding protein2 (MeCP2). Since MeCP2 can bind to methylated CpG-dinucleotides and Nrxn/Nlgn contain CpG-islands, we tested genomic sequences for transcriptional activity in reporter gene assays. We found that their influence on transcription are differentially activating or inhibiting. As we observed an activity difference between heterologous and neuronal cell lines for distinct Nrxn1 and Nlgn2 sequences, we dissected their putative promoter regions. In both genes, we identify regions in exon1 that can induce transcription, in addition to the alternative transcriptional start points in exon2. While the 5'-regions of Nrxn1 and Nlgn2 contain two CpG-rich elements that show distinct methylation frequency and binding to MeCP2, other regions may act independently of this transcriptional regulator. These data provide first insights into regulatory sequences of Nrxn and Nlgn genes that may represent an important aspect of their function at synapses in health and disease.

  11. Amplicon –Based Metagenomic Analysis of Mixed Fungal Samples Using Proton Release Amplicon Sequencing

    PubMed Central

    Tonge, Daniel P.; Pashley, Catherine H.; Gant, Timothy W.

    2014-01-01

    Next generation sequencing technology has revolutionised microbiology by allowing concurrent analysis of whole microbial communities. Here we developed and verified similar methods for the analysis of fungal communities using a proton release sequencing platform with the ability to sequence reads of up to 400 bp in length at significant depth. This read length permits the sequencing of amplicons from commonly used fungal identification regions and thereby taxonomic classification. Using the 400 bp sequencing capability, we have sequenced amplicons from the ITS1, ITS2 and LSU fungal regions to a depth of approximately 700,000 raw reads per sample. Representative operational taxonomic units (OTUs) were chosen by the USEARCH algorithm, and identified taxonomically through nucleotide blast (BLASTn). Combination of this sequencing technology with the bioinformatics pipeline allowed species recognition in two controlled fungal spore populations containing members of known identity and concentration. Each species included within the two controlled populations was found to correspond to a representative OTU, and these OTUs were found to be highly accurate representations of true biological sequences. However, the absolute number of reads attributed to each OTU differed among species. The majority of species were represented by an OTU derived from all three genomic regions although in some cases, species were only represented in two of the regions due to the absence of conserved primer binding sites or due to sequence composition. It is apparent from our data that proton release sequencing technologies can deliver a qualitative assessment of the fungal members comprising a sample. The fact that some fungi cannot be amplified by specific “conserved” primer pairs confirms our recommendation that a multi-region approach be taken for other amplicon-based metagenomic studies. PMID:24728005

  12. Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema

    Patel, Kamlesh D [Ken; SNL,

    2016-07-12

    Kamlesh (Ken) Patel from Sandia National Laboratories (Livermore, California) presents "Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology " at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  13. Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    SciTech Connect

    Patel, Kamlesh D; SNL,

    2012-06-01

    Kamlesh (Ken) Patel from Sandia National Laboratories (Livermore, California) presents "Preparation of Nucleic Acid Libraries for Personalized Sequencing Systems Using an Integrated Microfluidic Hub Technology " at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  14. Basics of Genome Sequence Analysis in Bioinformatics -- its Fundamental Ideas and Problems

    NASA Astrophysics Data System (ADS)

    Suzuki, Tomonori; Miyazaki, Satoru

    2009-02-01

    The genome sequences are one of the most fundamental data among various omics analyses. So far, basic bioinformatics tools have developing to treat genome sequences. First step of genome sequence analysis is to predict or assign "genes" on genome sequences. In the case of Eukaryotes, we can identify genes by use of full length cDNA sequences with local alignment tools such as search, blast and fasta, etc. However, it is difficult to catch mRNAs (transcripts) in Prokaryotes. Therefore, computational prediction for gene identification is first choice to start genome sequence analysis. In this review, we pick up methods for computational gene prediction first. Once genes are predicted, next step is to functions for proteins or RNAs encoded on a gene. Then, how we can define the distance between gene sequences is very important for the further analysis. So, we describe the basics of mathematical concept for gene comparison. And we also introduce our novel concept for biological sequence comparisons for the view point of informational theory. In the post genome era, many researchers are very interested in not only gene functions but also the gene regulations whose information is also on genome sequences. Cis-regulatory elements, however, is too short to find some mathematical rules. Therefore, computationally predicted cis-elements tend to include many false-positives. To reduce the ratio false-positives, we need reliable database of set of cis-regulatory elements called cis-regulatory modules for a gene. So, we are trying to develop the Cis-Regulatory Elements Module Reference Database. In the third section, we introduce you the procedure to construct the Cis-Regulatory Elements Module Reference Database and its user interfaces.

  15. Genetic characterization of three novel chicken parvovirus strains based on analysis of their coding sequences.

    PubMed

    Koo, Bon-Sang; Lee, Hae-Rim; Jeon, Eun-Ok; Han, Moo-Sung; Min, Kyeong-Cheol; Lee, Seung-Baek; Bae, Yeon-Ji; Cho, Sun-Hyung; Mo, Jong-Suk; Kwon, Hyuk Moo; Sung, Haan Woo; Kim, Jong-Nyeo; Mo, In-Pil

    2015-01-01

    Chicken parvovirus (ChPV) is one of the causative agents of viral enteritis. Recently, the genome of the ABU-P1 strain of ChPV was fully sequenced and determined to have a distinct genomic composition compared with that of vertebrate parvoviruses. However, no comparative sequence analysis of coding regions of ChPVs was possible because of the lack of other sequence information. In this study, we obtained the nucleotide sequences of all genomic coding regions of three ChPVs by polymerase chain reaction using 13 primer sets, and deduced the amino acid sequences from the nucleotide sequences. The non-structural protein 1 (NS1) gene of the three ChPVs showed 95.0 to 95.5% nucleotide sequence identity and 96.5 to 98.1% amino acid sequence identity to those of NS1 from the ABU-P1 strain, respectively, and even higher nucleotide and amino acid similarities to one another. The viral proteins (VP) gene was more divergent between the three ChPV Korean strains and ABU-P1, with 88.1 to 88.3% nucleotide identity and 93.0% amino acid identity. Analysis of the putative tertiary structure of the ChPV VP2 protein showed that variable regions with less than 80% nucleotide similarity between the three Korean strains and ABU-P1 occurred in large loops of the VP2 protein believed to be involved in antigenicity, pathogenicity, and tissue tropism in other parvoviruses. Based on our analysis of full-length coding sequences, we discovered greater variation in ChPV strains than reported previously, especially in partial regions of the VP2 protein.

  16. Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation

    NASA Astrophysics Data System (ADS)

    Pal, Mayukha; Kiran, V. Satya; Rao, P. Madhusudana; Manimaran, P.

    2016-08-01

    We characterized the multifractal nature and power law cross-correlation between any pair of genome sequence through an integrative approach combining 2D multifractal detrended cross-correlation analysis and chaos game representation. In this paper, we have analyzed genomes of some prokaryotes and calculated fractal spectra h(q) and f(α) . From our analysis, we observed existence of multifractal nature and power law cross-correlation behavior between any pair of genome sequences. Cluster analysis was performed on the calculated scaling exponents to identify the class affiliation and the same is represented as a dendrogram. We suggest this approach may find applications in next generation sequence analysis, big data analytics etc.

  17. Determination and analysis of the complete genome sequence of Paralichthys olivaceus rhabdovirus (PORV).

    PubMed

    Zhu, Ruo-Lin; Zhang, Qi-Ya

    2014-04-01

    Paralichthys olivaceus rhabdovirus (PORV), which is associated with high mortality rates in flounder, was isolated in China in 2005. Here, we provide an annotated sequence record of PORV, the genome of which comprises 11,182 nucleotides and contains six genes in the order 3'-N-P-M-G-NV-L-5'. Phylogenetic analysis based on glycoprotein sequences of PORV and other rhabdoviruses showed that PORV clusters with viral haemorrhagic septicemia virus (VHSV), genus Novirhabdovirus, family Rhabdoviridae. Further phylogenetic analysis of the combined amino acid sequences of six proteins of PORV and VHSV strains showed that PORV clusters with Korean strains and is closely related to Asian strains, all of which were isolated from flounder. In a comparison in which the sequences of the six proteins were combined, PORV shared the highest identity (98.3 %) with VHSV strain KJ2008 from Korea.

  18. A convenient and adaptable microcomputer environment for DNA and protein sequence manipulation and analysis.

    PubMed Central

    Pustell, J; Kafatos, F C

    1986-01-01

    We describe the further development of a widely used package of DNA and protein sequence analysis programs for microcomputers (1,2,3). The package now provides a screen oriented user interface, and an enhanced working environment with powerful formatting, disk access, and memory management tools. The new GenBank floppy disk database is supported transparently to the user and a similar version of the NBRF protein database is provided. The programs can use sequence file annotation to automatically annotate printouts and translate or extract specified regions from sequences by name. The sequence comparison programs can now perform a 5000 X 5000 bp analysis in 12 minutes on an IBM PC. A program to locate potential protein coding regions in nucleic acids, a digitizer interface, and other additions are also described. PMID:3753784

  19. Partial N-terminal sequence analysis of human class II molecules expressing the DQw3 determinant.

    PubMed

    Obata, F; Endo, T; Yoshii, M; Otani, F; Igarashi, M; Takenouchi, T; Ikeda, H; Ogasawara, K; Kasahara, M; Wakisaka, A

    1985-09-01

    HLA-DQ molecules were isolated from DRw9-homozygous and DR4-homozygous cell lines by using a monoclonal antibody HU-18, which recognizes class II molecules carrying the conventional DQw3 determinant. The partial N-terminal sequence analysis of the DQw3 molecules revealed that they have sequences homologous to those of murine I-A molecules. Within the limits of our sequence analysis, the DQw3 molecules from the two cell lines are identical to each other in both the alpha and beta chains. The DQ alpha as well as DQ beta chains were found to have amino acid substitutions when compared to other I-A-like molecules whose sequences have been reported. These differences may contribute to the DQw supertypic specificity. The polymorphic nature of DQ molecules is in marked contrast to that of DR molecules where DR alpha chains are highly conserved while DR beta chains have easily detectable amino acid substitutions. PMID:2411700

  20. Draft genomic DNA sequence of strain Halomonas sp. FS-N4 exhibiting high catalase activity.

    PubMed

    Pan, Jie; Abulaizi, Ailiman; Sun, Cong; Cheng, Hong; Wu, Min

    2014-12-01

    Halomonas sp. FS-N4 is a bacterium, which can grow in the medium Marine Broth 2216 with 5M initial hydrogen peroxide concentration, shows a strong oxidation resistance, and the crude enzyme activity can reach as high as 13.33katal/mg. We reported the draft genome sequence of H. sp. FS-N4, showing that it contains 3434 protein-coding genes, including the genes putatively involved in the response to the oxidative stress, among which a phytochrome-like gene might be a key point to survive in the environment with high concentration of hydrogen peroxide and exhibit high catalase activity.

  1. VIROME: a standard operating procedure for analysis of viral metagenome sequences.

    PubMed

    Wommack, K Eric; Bhavsar, Jaysheel; Polson, Shawn W; Chen, Jing; Dumas, Michael; Srinivasiah, Sharath; Furman, Megan; Jamindar, Sanchita; Nasko, Daniel J

    2012-07-30

    One consistent finding among studies using shotgun metagenomics to analyze whole viral communities is that most viral sequences show no significant homology to known sequences. Thus, bioinformatic analyses based on sequence collections such as GenBank nr, which are largely comprised of sequences from known organisms, tend to ignore a majority of sequences within most shotgun viral metagenome libraries. Here we describe a bioinformatic pipeline, the Viral Informatics Resource for Metagenome Exploration (VIROME), that emphasizes the classification of viral metagenome sequences (predicted open-reading frames) based on homology search results against both known and environmental sequences. Functional and taxonomic information is derived from five annotated sequence databases which are linked to the UniRef 100 database. Environmental classifications are obtained from hits against a custom database, MetaGenomes On-Line, which contains 49 million predicted environmental peptides. Each predicted viral metagenomic ORF run through the VIROME pipeline is placed into one of seven ORF classes, thus, every sequence receives a meaningful annotation. Additionally, the pipeline includes quality control measures to remove contaminating and poor quality sequence and assesses the potential amount of cellular DNA contamination in a viral metagenome library by screening for rRNA genes. Access to the VIROME pipeline and analysis results are provided through a web-application interface that is dynamically linked to a relational back-end database. The VIROME web-application interface is designed to allow users flexibility in retrieving sequences (reads, ORFs, predicted peptides) and search results for focused secondary analyses. PMID:23407591

  2. A comparison of ARMS and DNA sequencing for mutation analysis in clinical biopsy samples

    PubMed Central

    2010-01-01

    Background We have compared mutation analysis by DNA sequencing and Amplification Refractory Mutation System™ (ARMS™) for their ability to detect mutations in clinical biopsy specimens. Methods We have evaluated five real-time ARMS assays: BRAF 1799T>A, [this includes V600E and V600K] and NRAS 182A>G [Q61R] and 181C>A [Q61K] in melanoma, EGFR 2573T>G [L858R], 2235-2249del15 [E746-A750del] in non-small-cell lung cancer, and compared the results to DNA sequencing of the mutation 'hot-spots' in these genes in formalin-fixed paraffin-embedded tumour (FF-PET) DNA. Results The ARMS assays maximised the number of samples that could be analysed when both the quality and quantity of DNA was low, and improved both the sensitivity and speed of analysis compared with sequencing. ARMS was more robust with fewer reaction failures compared with sequencing and was more sensitive as it was able to detect functional mutations that were not detected by DNA sequencing. DNA sequencing was able to detect a small number of lower frequency recurrent mutations across the exons screened that were not interrogated using the specific ARMS assays in these studies. Conclusions ARMS was more sensitive and robust at detecting defined somatic mutations than DNA sequencing on clinical sample