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Sample records for rational genome mining

  1. Identification of a novel two-peptide lantibiotic, lichenicidin, following rational genome mining for LanM proteins.

    PubMed

    Begley, Máire; Cotter, Paul D; Hill, Colin; Ross, R Paul

    2009-09-01

    Lantibiotics are ribosomally synthesized peptide antimicrobials which contain considerable posttranslational modifications. Given their usually broad host range and their highly stable structures, there have been renewed attempts to identify and characterize novel members of the lantibiotic family in recent years. The increasing availability of bacterial genome sequences means that in addition to traditional microbiological approaches, in silico screening strategies may now be employed to the same end. Taking advantage of the highly conserved nature of lantibiotic biosynthetic enzymes, we screened publicly available microbial genome sequences for genes encoding LanM proteins, which are required for the posttranslational modification of type 2 lantibiotics. By using this approach, 89 LanM homologs, including 61 in strains not known to be lantibiotic producers, were identified. Of these strains, five (Streptococcus pneumoniae SP23-BS72, Bacillus licheniformis ATCC 14580, Anabaena variabilis ATCC 29413, Geobacillus thermodenitrificans NG80-2, and Herpetosiphon aurantiacus ATCC 23779) were subjected to a more detailed bioinformatic analysis. Four of the strains possessed genes potentially encoding a structural peptide in close proximity to the lanM determinants, while two, S. pneumoniae SP23-BS72 and B. licheniformis ATCC 14580, possess two potential structural genes. The B. licheniformis strain was selected for a proof-of-concept exercise, which established that a two-peptide lantibiotic, lichenicidin, which exhibits antimicrobial activity against all Listeria monocytogenes, methicillin-resistant Staphylococcus aureus, and vancomycin-resistant enterococcus strains tested, was indeed produced, thereby confirming the benefits of such a bioinformatic approach when screening for novel lantibiotic producers. PMID:19561184

  2. Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine.

    PubMed

    Elsik, Christine G; Tayal, Aditi; Diesh, Colin M; Unni, Deepak R; Emery, Marianne L; Nguyen, Hung N; Hagen, Darren E

    2016-01-01

    We report an update of the Hymenoptera Genome Database (HGD) (http://HymenopteraGenome.org), a model organism database for insect species of the order Hymenoptera (ants, bees and wasps). HGD maintains genomic data for 9 bee species, 10 ant species and 1 wasp, including the versions of genome and annotation data sets published by the genome sequencing consortiums and those provided by NCBI. A new data-mining warehouse, HymenopteraMine, based on the InterMine data warehousing system, integrates the genome data with data from external sources and facilitates cross-species analyses based on orthology. New genome browsers and annotation tools based on JBrowse/WebApollo provide easy genome navigation, and viewing of high throughput sequence data sets and can be used for collaborative genome annotation. All of the genomes and annotation data sets are combined into a single BLAST server that allows users to select and combine sequence data sets to search. PMID:26578564

  3. Hymenoptera Genome Database: integrating genome annotations in HymenopteraMine

    PubMed Central

    Elsik, Christine G.; Tayal, Aditi; Diesh, Colin M.; Unni, Deepak R.; Emery, Marianne L.; Nguyen, Hung N.; Hagen, Darren E.

    2016-01-01

    We report an update of the Hymenoptera Genome Database (HGD) (http://HymenopteraGenome.org), a model organism database for insect species of the order Hymenoptera (ants, bees and wasps). HGD maintains genomic data for 9 bee species, 10 ant species and 1 wasp, including the versions of genome and annotation data sets published by the genome sequencing consortiums and those provided by NCBI. A new data-mining warehouse, HymenopteraMine, based on the InterMine data warehousing system, integrates the genome data with data from external sources and facilitates cross-species analyses based on orthology. New genome browsers and annotation tools based on JBrowse/WebApollo provide easy genome navigation, and viewing of high throughput sequence data sets and can be used for collaborative genome annotation. All of the genomes and annotation data sets are combined into a single BLAST server that allows users to select and combine sequence data sets to search. PMID:26578564

  4. The case for a rational genome-based vaccine against malaria

    PubMed Central

    Proietti, Carla; Doolan, Denise L.

    2015-01-01

    Historically, vaccines have been designed to mimic the immunity induced by natural exposure to the target pathogen, but this approach has not been effective for any parasitic pathogen of humans or complex pathogens that cause chronic disease in humans, such as Plasmodium. Despite intense efforts by many laboratories around the world on different aspects of Plasmodium spp. molecular and cell biology, epidemiology and immunology, progress towards the goal of an effective malaria vaccine has been disappointing. The premise of rational vaccine design is to induce the desired immune response against the key pathogen antigens or epitopes targeted by protective immune responses. We advocate that development of an optimally efficacious malaria vaccine will need to improve on nature, and that this can be accomplished by rational vaccine design facilitated by mining genomic, proteomic and transcriptomic datasets in the context of relevant biological function. In our opinion, modern genome-based rational vaccine design offers enormous potential above and beyond that of whole-organism vaccines approaches established over 200 years ago where immunity is likely suboptimal due to the many genetic and immunological host-parasite adaptations evolved to allow the Plasmodium parasite to coexist in the human host, and which are associated with logistic and regulatory hurdles for production and delivery. PMID:25657640

  5. DGIdb - Mining the druggable genome

    PubMed Central

    Coffman, Adam C.; Weible, James V.; McMichael, Josh F.; Spies, Nicholas C.; Koval, James; Das, Indraniel; Callaway, Matthew B.; Eldred, James M.; Miller, Christopher A.; Subramanian, Janakiraman; Govindan, Ramaswamy; Kumar, Runjun D.; Bose, Ron; Ding, Li; Walker, Jason R.; Larson, David E.; Dooling, David J.; Smith, Scott M.; Ley, Timothy J.; Mardis, Elaine R.; Wilson, Richard K.

    2013-01-01

    The Drug-Gene Interaction database (DGIdb) mines existing resources that generate hypotheses about how mutated genes might be targeted therapeutically or prioritized for drug development. It provides an interface for searching lists of genes against a compendium of drug-gene interactions and potentially druggable genes. DGIdb can be accessed at dgidb.org. PMID:24122041

  6. Rationality.

    PubMed

    Sosis, Clifford; Bishop, Michael A

    2014-01-01

    A theory of rationality is a theory that evaluates instances of reasoning as rational, irrational, or (ir)rational to some degree. Theories can be categorized as rule-based or consequentialist. Rule-based theories say that rational reasoning accords with certain rules (e.g., of logic or probability). Consequentialist theories say that rational reasoning tends to produce good consequences. For instance, the reliabilist takes rationality to be reasoning that tends to produce mostly true beliefs. The pragmatist takes it to be reasoning that tends to produce mostly useful beliefs. This article reviews some of the features and the challenges of rule-based, reliabilist, and pragmatist theories of rationality. WIREs Cogn Sci 2014, 5:27-37. doi: 10.1002/wcs.1263 CONFLICT OF INTEREST: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website. PMID:26304295

  7. Genomic mining for Aspergillus natural products.

    PubMed

    Bok, Jin Woo; Hoffmeister, Dirk; Maggio-Hall, Lori A; Murillo, Renato; Glasner, Jeremy D; Keller, Nancy P

    2006-01-01

    The genus Aspergillus is renowned for its ability to produce a myriad of bioactive secondary metabolites. Although the propensity of biosynthetic genes to form contiguous clusters greatly facilitates assignment of putative secondary metabolite genes in the completed Aspergillus genomes, such analysis cannot predict gene expression and, ultimately, product formation. To circumvent this deficiency, we have examined Aspergillus nidulans microarrays for expressed secondary metabolite gene clusters by using the transcriptional regulator LaeA. Deletion or overexpression of laeA clearly identified numerous secondary metabolite clusters. A gene deletion in one of the clusters eliminated the production of the antitumor compound terrequinone A, a metabolite not described, from A. nidulans. In this paper, we highlight that LaeA-based genome mining helps decipher the secondary metabolome of Aspergilli and provides an unparalleled view to assess secondary metabolism gene regulation. PMID:16426969

  8. Genome Mining for Ribosomally Synthesized Natural Products

    PubMed Central

    Velásquez, Juan E.; van der Donk, Wilfred

    2011-01-01

    In recent years, the number of known peptide natural products that are synthesized via the ribosomal pathway has rapidly grown. Taking advantage of sequence homology among genes encoding precursor peptides or biosynthetic proteins, in silico mining of genomes combined with molecular biology approaches has guided the discovery of a large number of new ribosomal natural products, including lantipeptides, cyanobactins, linear thiazole/oxazole-containing peptides, microviridins, lasso peptides, amatoxins, cyclotides, and conopeptides. In this review, we describe the strategies used for the identification of these ribosomally-synthesized and posttranslationally modified peptides (RiPPs) and the structures of newly identified compounds. The increasing number of chemical entities and their remarkable structural and functional diversity may lead to novel pharmaceutical applications. PMID:21095156

  9. The evolution of genome mining in microbes - a review.

    PubMed

    Ziemert, Nadine; Alanjary, Mohammad; Weber, Tilmann

    2016-08-27

    Covering: 2006 to 2016The computational mining of genomes has become an important part in the discovery of novel natural products as drug leads. Thousands of bacterial genome sequences are publically available these days containing an even larger number and diversity of secondary metabolite gene clusters that await linkage to their encoded natural products. With the development of high-throughput sequencing methods and the wealth of DNA data available, a variety of genome mining methods and tools have been developed to guide discovery and characterisation of these compounds. This article reviews the development of these computational approaches during the last decade and shows how the revolution of next generation sequencing methods has led to an evolution of various genome mining approaches, techniques and tools. After a short introduction and brief overview of important milestones, this article will focus on the different approaches of mining genomes for secondary metabolites, from detecting biosynthetic genes to resistance based methods and "evo-mining" strategies including a short evaluation of the impact of the development of genome mining methods and tools on the field of natural products and microbial ecology. PMID:27272205

  10. Mining the genome for lipid genes.

    PubMed

    Kuivenhoven, Jan Albert; Hegele, Robert A

    2014-10-01

    Mining of the genome for lipid genes has since the early 1970s helped to shape our understanding of how triglycerides are packaged (in chylomicrons), repackaged (in very low density lipoproteins; VLDL), and hydrolyzed, and also how remnant and low-density lipoproteins (LDL) are cleared from the circulation. Gene discoveries have also provided insights into high-density lipoprotein (HDL) biogenesis and remodeling. Interestingly, at least half of these key molecular genetic studies were initiated with the benefit of prior knowledge of relevant proteins. In addition, multiple important findings originated from studies in mouse, and from other types of non-genetic approaches. Although it appears by now that the main lipid pathways have been uncovered, and that only modulators or adaptor proteins such as those encoded by LDLRAP1, APOA5, ANGPLT3/4, and PCSK9 are currently being discovered, genome wide association studies (GWAS) in particular have implicated many new loci based on statistical analyses; these may prove to have equally large impacts on lipoprotein traits as gene products that are already known. On the other hand, since 2004 - and particularly since 2010 when massively parallel sequencing has become de rigeur - no major new insights into genes governing lipid metabolism have been reported. This is probably because the etiologies of true Mendelian lipid disorders with overt clinical complications have been largely resolved. In the meantime, it has become clear that proving the importance of new candidate genes is challenging. This could be due to very low frequencies of large impact variants in the population. It must further be emphasized that functional genetic studies, while necessary, are often difficult to accomplish, making it hazardous to upgrade a variant that is simply associated to being definitively causative. Also, it is clear that applying a monogenic approach to dissect complex lipid traits that are mostly of polygenic origin is the wrong way to

  11. Highlights of recent articles on data mining in genomics & proteomics

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This editorial elaborates on investigations consisting of different “OMICS” technologies and their application to biological sciences. In addition, advantages and recent development of the proteomic, genomic and data mining technologies are discussed. This information will be useful to scientists ...

  12. WormBase: methods for data mining and comparative genomics.

    PubMed

    Harris, Todd W; Stein, Lincoln D

    2006-01-01

    WormBase is a comprehensive repository for information on Caenorhabditis elegans and related nematodes. Although the primary web-based interface of WormBase (http:// www.wormbase.org/) is familiar to most C. elegans researchers, WormBase also offers powerful data-mining features for addressing questions of comparative genomics, genome structure, and evolution. In this chapter, we focus on data mining at WormBase through the use of flexible web interfaces, custom queries, and scripts. The intended audience includes users wishing to query the database beyond the confines of the web interface or fetch data en masse. No knowledge of programming is necessary or assumed, although users with intermediate skills in the Perl scripting language will be able to utilize additional data-mining approaches. PMID:16988424

  13. Nature-oriented open coal mining technologies using mined-out space in an open-pit. Part II: A method for selecting rational sequence of mining flat dipping stratified deposits

    SciTech Connect

    Molotilov, S.G.; Norri, V.K.; Cheskidov, V.I.; Mattis, A.R.

    2007-01-15

    A method is proposed for selecting a rational mining sequence with internal dumping for flat stratified deposits, using new principles of the open-pit process-space formation and development. The main criteria for substantiating the mining sequence are geometrical form and development direction of the open-pit space, structure of the working wall and transportation network, internal dumping capacities and mining earthworks volumes.

  14. Microbial genome mining for accelerated natural products discovery: is a renaissance in the making?

    PubMed Central

    Bachmann, Brian O; Van Lanen, Steven G; Baltz, Richard H

    2014-01-01

    Microbial genome mining is a rapidly developing approach to discover new and novel secondary metabolites for drug discovery. Many advances have been made in the past decade to facilitate genome mining, and these are reviewed in this Special Issue of the Journal of Industrial Microbiology and Biotechnology. In this Introductory Review, we discuss the concept of genome mining and why it is important for the revitalization of natural product discovery; what microbes show the most promise for focused genome mining; how microbial genomes can be mined; how genome mining can be leveraged with other technologies; how progress on genome mining can be accelerated; and who should fund future progress in this promising field. We direct interested readers to more focused reviews on the individual topics in this Special Issue for more detailed summaries on the current state-of-the-art. PMID:24342967

  15. Large-scale data mining pilot project in human genome

    SciTech Connect

    Musick, R.; Fidelis, R.; Slezak, T.

    1997-05-01

    This whitepaper briefly describes a new, aggressive effort in large- scale data Livermore National Labs. The implications of `large- scale` will be clarified Section. In the short term, this effort will focus on several @ssion-critical questions of Genome project. We will adapt current data mining techniques to the Genome domain, to quantify the accuracy of inference results, and lay the groundwork for a more extensive effort in large-scale data mining. A major aspect of the approach is that we will be fully-staffed data warehousing effort in the human Genome area. The long term goal is strong applications- oriented research program in large-@e data mining. The tools, skill set gained will be directly applicable to a wide spectrum of tasks involving a for large spatial and multidimensional data. This includes applications in ensuring non-proliferation, stockpile stewardship, enabling Global Ecology (Materials Database Industrial Ecology), advancing the Biosciences (Human Genome Project), and supporting data for others (Battlefield Management, Health Care).

  16. Genomic Mining Reveals Deep Evolutionary Relationships between Bornaviruses and Bats

    PubMed Central

    Cui, Jie; Wang, Lin-Fa

    2015-01-01

    Bats globally harbor viruses in order Mononegavirales, such as lyssaviruses and henipaviruses; however, little is known about their relationships with bornaviruses. Previous studies showed that viral fossils of bornaviral origin are embedded in the genomes of several mammalian species such as primates, indicative of an ancient origin of exogenous bornaviruses. In this study, we mined the available 10 bat genomes and recreated a clear evolutionary relationship of endogenous bornaviral elements and bats. Comparative genomics showed that endogenization of bornaviral elements frequently occurred in vesper bats, harboring EBLLs (endogenous bornavirus-like L elements) in their genomes. Molecular dating uncovered a continuous bornavirus-bat interaction spanning 70 million years. We conclude that better understanding of modern exogenous bornaviral circulation in bat populations is warranted. PMID:26569285

  17. Chapter 13: Mining Electronic Health Records in the Genomics Era

    PubMed Central

    Denny, Joshua C.

    2012-01-01

    Abstract: The combination of improved genomic analysis methods, decreasing genotyping costs, and increasing computing resources has led to an explosion of clinical genomic knowledge in the last decade. Similarly, healthcare systems are increasingly adopting robust electronic health record (EHR) systems that not only can improve health care, but also contain a vast repository of disease and treatment data that could be mined for genomic research. Indeed, institutions are creating EHR-linked DNA biobanks to enable genomic and pharmacogenomic research, using EHR data for phenotypic information. However, EHRs are designed primarily for clinical care, not research, so reuse of clinical EHR data for research purposes can be challenging. Difficulties in use of EHR data include: data availability, missing data, incorrect data, and vast quantities of unstructured narrative text data. Structured information includes billing codes, most laboratory reports, and other variables such as physiologic measurements and demographic information. Significant information, however, remains locked within EHR narrative text documents, including clinical notes and certain categories of test results, such as pathology and radiology reports. For relatively rare observations, combinations of simple free-text searches and billing codes may prove adequate when followed by manual chart review. However, to extract the large cohorts necessary for genome-wide association studies, natural language processing methods to process narrative text data may be needed. Combinations of structured and unstructured textual data can be mined to generate high-validity collections of cases and controls for a given condition. Once high-quality cases and controls are identified, EHR-derived cases can be used for genomic discovery and validation. Since EHR data includes a broad sampling of clinically-relevant phenotypic information, it may enable multiple genomic investigations upon a single set of genotyped

  18. Chapter 13: Mining electronic health records in the genomics era.

    PubMed

    Denny, Joshua C

    2012-01-01

    The combination of improved genomic analysis methods, decreasing genotyping costs, and increasing computing resources has led to an explosion of clinical genomic knowledge in the last decade. Similarly, healthcare systems are increasingly adopting robust electronic health record (EHR) systems that not only can improve health care, but also contain a vast repository of disease and treatment data that could be mined for genomic research. Indeed, institutions are creating EHR-linked DNA biobanks to enable genomic and pharmacogenomic research, using EHR data for phenotypic information. However, EHRs are designed primarily for clinical care, not research, so reuse of clinical EHR data for research purposes can be challenging. Difficulties in use of EHR data include: data availability, missing data, incorrect data, and vast quantities of unstructured narrative text data. Structured information includes billing codes, most laboratory reports, and other variables such as physiologic measurements and demographic information. Significant information, however, remains locked within EHR narrative text documents, including clinical notes and certain categories of test results, such as pathology and radiology reports. For relatively rare observations, combinations of simple free-text searches and billing codes may prove adequate when followed by manual chart review. However, to extract the large cohorts necessary for genome-wide association studies, natural language processing methods to process narrative text data may be needed. Combinations of structured and unstructured textual data can be mined to generate high-validity collections of cases and controls for a given condition. Once high-quality cases and controls are identified, EHR-derived cases can be used for genomic discovery and validation. Since EHR data includes a broad sampling of clinically-relevant phenotypic information, it may enable multiple genomic investigations upon a single set of genotyped individuals. This

  19. Mining bacterial genomes for novel arylesterase activity

    PubMed Central

    Wang, Lijun; Mavisakalyan, Valentina; Tillier, Elisabeth R. M.; Clark, Greg W.; Savchenko, Alexei V.; Yakunin, Alexander F.; Master, Emma R.

    2010-01-01

    Summary One hundred and seventy‐one genes encoding potential esterases from 11 bacterial genomes were cloned and overexpressed in Escherichia coli; 74 of the clones produced soluble proteins. All 74 soluble proteins were purified and screened for esterase activity; 36 proteins showed carboxyl esterase activity on short‐chain esters, 17 demonstrated arylesterase activity, while 38 proteins did not exhibit any activity towards the test substrates. Esterases from Rhodopseudomonas palustris (RpEST‐1, RpEST‐2 and RpEST‐3), Pseudomonas putida (PpEST‐1, PpEST‐2 and PpEST‐3), Pseudomonas aeruginosa (PaEST‐1) and Streptomyces avermitilis (SavEST‐1) were selected for detailed biochemical characterization. All of the enzymes showed optimal activity at neutral or alkaline pH, and the half‐life of each enzyme at 50°C ranged from < 5 min to over 5 h. PpEST‐3, RpEST‐1 and RpEST‐2 demonstrated the highest specific activity with pNP‐esters; these enzymes were also among the most stable at 50°C and in the presence of detergents, polar and non‐polar organic solvents, and imidazolium ionic liquids. Accordingly, these enzymes are particularly interesting targets for subsequent application trials. Finally, biochemical and bioinformatic analyses were compared to reveal sequence features that could be correlated to enzymes with arylesterase activity, facilitating subsequent searches for new esterases in microbial genome sequences. PMID:21255363

  20. Data mining and the human genome

    SciTech Connect

    Abarbanel, Henry; Callan, Curtis; Dally, William; Dyson, Freeman; Hwa, Terence; Koonin, Steven; Levine, Herbert; Rothaus, Oscar; Schwitters, Roy; Stubbs, Christopher; Weinberger, Peter

    2000-01-07

    As genomics research moves from an era of data acquisition to one of both acquisition and interpretation, new methods are required for organizing and prioritizing the data. These methods would allow an initial level of data analysis to be carried out before committing resources to a particular genetic locus. This JASON study sought to delineate the main problems that must be faced in bioinformatics and to identify information technologies that can help to overcome those problems. While the current influx of data greatly exceeds what biologists have experienced in the past, other scientific disciplines and the commercial sector have been handling much larger datasets for many years. Powerful datamining techniques have been developed in other fields that, with appropriate modification, could be applied to the biological sciences.

  1. Applying negative rule mining to improve genome annotation

    PubMed Central

    Artamonova, Irena I; Frishman, Goar; Frishman, Dmitrij

    2007-01-01

    Background Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to the new target sequences. We have previously demonstrated that data mining in large sequence annotation databanks can help identify annotation items that are strongly associated with each other, and that exceptions from strong positive association rules often point to potential annotation errors. Here we investigate the applicability of negative association rule mining to revealing erroneously assigned annotation items. Results Almost all exceptions from strong negative association rules are connected to at least one wrong attribute in the feature combination making up the rule. The fraction of annotation features flagged by this approach as suspicious is strongly enriched in errors and constitutes about 0.6% of the whole body of the similarity-transferred annotation in the PEDANT genome database. Positive rule mining does not identify two thirds of these errors. The approach based on exceptions from negative rules is much more specific than positive rule mining, but its coverage is significantly lower. Conclusion Mining of both negative and positive association rules is a potent tool for finding significant trends in protein annotation and flagging doubtful features for further inspection. PMID:17659089

  2. A web server for mining Comparative Genomic Hybridization (CGH) data

    NASA Astrophysics Data System (ADS)

    Liu, Jun; Ranka, Sanjay; Kahveci, Tamer

    2007-11-01

    Advances in cytogenetics and molecular biology has established that chromosomal alterations are critical in the pathogenesis of human cancer. Recurrent chromosomal alterations provide cytological and molecular markers for the diagnosis and prognosis of disease. They also facilitate the identification of genes that are important in carcinogenesis, which in the future may help in the development of targeted therapy. A large amount of publicly available cancer genetic data is now available and it is growing. There is a need for public domain tools that allow users to analyze their data and visualize the results. This chapter describes a web based software tool that will allow researchers to analyze and visualize Comparative Genomic Hybridization (CGH) datasets. It employs novel data mining methodologies for clustering and classification of CGH datasets as well as algorithms for identifying important markers (small set of genomic intervals with aberrations) that are potentially cancer signatures. The developed software will help in understanding the relationships between genomic aberrations and cancer types.

  3. Data mining approaches for information retrieval from genomic databases

    NASA Astrophysics Data System (ADS)

    Liu, Donglin; Singh, Gautam B.

    2000-04-01

    Sequence retrieval in genomic databases is used for finding sequences related to a query sequence specified by a user. Comparison is the main part of the retrieval system in genomic databases. An efficient sequence comparison algorithm is critical in bioinformatics. There are several different algorithms to perform sequence comparison, such as the suffix array based database search, divergence measurement, methods that rely upon the existence of a local similarity between the query sequence and sequences in the database, or common mutual information between query and sequences in DB. In this paper we have described a new method for DNA sequence retrieval based on data mining techniques. Data mining tools generally find patterns among data and have been successfully applied in industries to improve marketing, sales, and customer support operations. We have applied the descriptive data mining techniques to find relevant patterns that are significant for comparing genetic sequences. Relevance feedback score based on common patterns is developed and employed to compute distance between sequences. The contigs of human chromosomes are used to test the retrieval accuracy and the experimental results are presented.

  4. JCoast – A biologist-centric software tool for data mining and comparison of prokaryotic (meta)genomes

    PubMed Central

    Richter, Michael; Lombardot, Thierry; Kostadinov, Ivaylo; Kottmann, Renzo; Duhaime, Melissa Beth; Peplies, Jörg; Glöckner, Frank Oliver

    2008-01-01

    Background Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed by automatic pipelines provided by the sequencing centers. Although, standardised workflows are desirable and useful in many respects, rational data mining, comparative genomics, and especially the interpretation of the sequence information in the biological context, demands for intuitive, flexible, and extendable solutions. Results The JCoast software tool was primarily designed to analyse and compare (meta)genome sequences of prokaryotes. Based on a pre-computed GenDB database project, JCoast offers a flexible graphical user interface (GUI), as well as an application programming interface (API) that facilitates back-end data access. JCoast offers individual, cross genome-, and metagenome analysis, and assists the biologist in exploration of large and complex datasets. Conclusion JCoast combines all functions required for the mining, annotation, and interpretation of (meta)genomic data. The lightweight software solution allows the user to easily take advantage of advanced back-end database structures by providing a programming and graphical user interface to answer biological questions. JCoast is available at the project homepage. PMID:18380896

  5. Automated genome mining of ribosomal peptide natural products

    SciTech Connect

    Mohimani, Hosein; Kersten, Roland; Liu, Wei; Wang, Mingxun; Purvine, Samuel O.; Wu, Si; Brewer, Heather M.; Pasa-Tolic, Ljiljana; Bandeira, Nuno; Moore, Bradley S.; Pevzner, Pavel A.; Dorrestein, Pieter C.

    2014-07-31

    Ribosomally synthesized and posttranslationally modified peptides (RiPPs), especially from microbial sources, are a large group of bioactive natural products that are a promising source of new (bio)chemistry and bioactivity (1). In light of exponentially increasing microbial genome databases and improved mass spectrometry (MS)-based metabolomic platforms, there is a need for computational tools that connect natural product genotypes predicted from microbial genome sequences with their corresponding chemotypes from metabolomic datasets. Here, we introduce RiPPquest, a tandem mass spectrometry database search tool for identification of microbial RiPPs and apply it for lanthipeptide discovery. RiPPquest uses genomics to limit search space to the vicinity of RiPP biosynthetic genes and proteomics to analyze extensive peptide modifications and compute p-values of peptide-spectrum matches (PSMs). We highlight RiPPquest by connection of multiple RiPPs from extracts of Streptomyces to their gene clusters and by the discovery of a new class III lanthipeptide, informatipeptin, from Streptomyces viridochromogenes DSM 40736 as the first natural product to be identified in an automated fashion by genome mining. The presented tool is available at cy-clo.ucsd.edu.

  6. Event-based text mining for biology and functional genomics.

    PubMed

    Ananiadou, Sophia; Thompson, Paul; Nawaz, Raheel; McNaught, John; Kell, Douglas B

    2015-05-01

    The assessment of genome function requires a mapping between genome-derived entities and biochemical reactions, and the biomedical literature represents a rich source of information about reactions between biological components. However, the increasingly rapid growth in the volume of literature provides both a challenge and an opportunity for researchers to isolate information about reactions of interest in a timely and efficient manner. In response, recent text mining research in the biology domain has been largely focused on the identification and extraction of 'events', i.e. categorised, structured representations of relationships between biochemical entities, from the literature. Functional genomics analyses necessarily encompass events as so defined. Automatic event extraction systems facilitate the development of sophisticated semantic search applications, allowing researchers to formulate structured queries over extracted events, so as to specify the exact types of reactions to be retrieved. This article provides an overview of recent research into event extraction. We cover annotated corpora on which systems are trained, systems that achieve state-of-the-art performance and details of the community shared tasks that have been instrumental in increasing the quality, coverage and scalability of recent systems. Finally, several concrete applications of event extraction are covered, together with emerging directions of research. PMID:24907365

  7. Event-based text mining for biology and functional genomics

    PubMed Central

    Thompson, Paul; Nawaz, Raheel; McNaught, John; Kell, Douglas B.

    2015-01-01

    The assessment of genome function requires a mapping between genome-derived entities and biochemical reactions, and the biomedical literature represents a rich source of information about reactions between biological components. However, the increasingly rapid growth in the volume of literature provides both a challenge and an opportunity for researchers to isolate information about reactions of interest in a timely and efficient manner. In response, recent text mining research in the biology domain has been largely focused on the identification and extraction of ‘events’, i.e. categorised, structured representations of relationships between biochemical entities, from the literature. Functional genomics analyses necessarily encompass events as so defined. Automatic event extraction systems facilitate the development of sophisticated semantic search applications, allowing researchers to formulate structured queries over extracted events, so as to specify the exact types of reactions to be retrieved. This article provides an overview of recent research into event extraction. We cover annotated corpora on which systems are trained, systems that achieve state-of-the-art performance and details of the community shared tasks that have been instrumental in increasing the quality, coverage and scalability of recent systems. Finally, several concrete applications of event extraction are covered, together with emerging directions of research. PMID:24907365

  8. TCGA4U: A Web-Based Genomic Analysis Platform To Explore And Mine TCGA Genomic Data For Translational Research.

    PubMed

    Huang, Zhenzhen; Duan, Huilong; Li, Haomin

    2015-01-01

    Large-scale human cancer genomics projects, such as TCGA, generated large genomics data for further study. Exploring and mining these data to obtain meaningful analysis results can help researchers find potential genomics alterations that intervene the development and metastasis of tumors. We developed a web-based gene analysis platform, named TCGA4U, which used statistics methods and models to help translational investigators explore, mine and visualize human cancer genomic characteristic information from the TCGA datasets. Furthermore, through Gene Ontology (GO) annotation and clinical data integration, the genomic data were transformed into biological process, molecular function, cellular component and survival curves to help researchers identify potential driver genes. Clinical researchers without expertise in data analysis will benefit from such a user-friendly genomic analysis platform. PMID:26262133

  9. The Saccharomyces Genome Database: Advanced Searching Methods and Data Mining.

    PubMed

    Cherry, J Michael

    2015-12-01

    At the core of the Saccharomyces Genome Database (SGD) are chromosomal features that encode a product. These include protein-coding genes and major noncoding RNA genes, such as tRNA and rRNA genes. The basic entry point into SGD is a gene or open-reading frame name that leads directly to the locus summary information page. A keyword describing function, phenotype, selective condition, or text from abstracts will also provide a door into the SGD. A DNA or protein sequence can be used to identify a gene or a chromosomal region using BLAST. Protein and DNA sequence identifiers, PubMed and NCBI IDs, author names, and function terms are also valid entry points. The information in SGD has been gathered and is maintained by a group of scientific biocurators and software developers who are devoted to providing researchers with up-to-date information from the published literature, connections to all the major research resources, and tools that allow the data to be explored. All the collected information cannot be represented or summarized for every possible question; therefore, it is necessary to be able to search the structured data in the database. This protocol describes the YeastMine tool, which provides an advanced search capability via an interactive tool. The SGD also archives results from microarray expression experiments, and a strategy designed to explore these data using the SPELL (Serial Pattern of Expression Levels Locator) tool is provided. PMID:26631124

  10. Investigating the Control of Chlorophyll Degradation by Genomic Correlation Mining.

    PubMed

    Ghandchi, Frederick P; Caetano-Anolles, Gustavo; Clough, Steven J; Ort, Donald R

    2016-01-01

    Chlorophyll degradation is an intricate process that is critical in a variety of plant tissues at different times during the plant life cycle. Many of the photoactive chlorophyll degradation intermediates are exceptionally cytotoxic necessitating that the pathway be carefully coordinated and regulated. The primary regulatory step in the chlorophyll degradation pathway involves the enzyme pheophorbide a oxygenase (PAO), which oxidizes the chlorophyll intermediate pheophorbide a, that is eventually converted to non-fluorescent chlorophyll catabolites. There is evidence that PAO is differentially regulated across different environmental and developmental conditions with both transcriptional and post-transcriptional components, but the involved regulatory elements are uncertain or unknown. We hypothesized that transcription factors modulate PAO expression across different environmental conditions, such as cold and drought, as well as during developmental transitions to leaf senescence and maturation of green seeds. To test these hypotheses, several sets of Arabidopsis genomic and bioinformatic experiments were investigated and re-analyzed using computational approaches. PAO expression was compared across varied environmental conditions in the three separate datasets using regression modeling and correlation mining to identify gene elements co-expressed with PAO. Their functions were investigated as candidate upstream transcription factors or other regulatory elements that may regulate PAO expression. PAO transcript expression was found to be significantly up-regulated in warm conditions, during leaf senescence, and in drought conditions, and in all three conditions significantly positively correlated with expression of transcription factor Arabidopsis thaliana activating factor 1 (ATAF1), suggesting that ATAF1 is triggered in the plant response to these processes or abiotic stresses and in result up-regulates PAO expression. The proposed regulatory network includes the

  11. Mining Genomes of Three Marine Sponge-Associated Actinobacterial Isolates for Secondary Metabolism

    PubMed Central

    Horn, Hannes; Hentschel, Ute

    2015-01-01

    Here, we report the draft genome sequences of three actinobacterial isolates, Micromonospora sp. RV43, Rubrobacter sp. RV113, and Nocardiopsis sp. RV163 that had previously been isolated from Mediterranean sponges. The draft genomes were analyzed for the presence of gene clusters indicative of secondary metabolism using antiSMASH 3.0 and NapDos pipelines. Our findings demonstrated the chemical richness of sponge-associated actinomycetes and the efficacy of genome mining in exploring the genomic potential of sponge-derived actinomycetes. PMID:26430030

  12. The Comprehensive Phytopathogen Genomics Resource: a web-based resource for data-mining plant pathogen genomes

    PubMed Central

    Hamilton, John P.; Neeno-Eckwall, Eric C.; Adhikari, Bishwo N.; Perna, Nicole T.; Tisserat, Ned; Leach, Jan E.; Lévesque, C. André; Buell, C. Robin

    2011-01-01

    The Comprehensive Phytopathogen Genomics Resource (CPGR) provides a web-based portal for plant pathologists and diagnosticians to view the genome and trancriptome sequence status of 806 bacterial, fungal, oomycete, nematode, viral and viroid plant pathogens. Tools are available to search and analyze annotated genome sequences of 74 bacterial, fungal and oomycete pathogens. Oomycete and fungal genomes are obtained directly from GenBank, whereas bacterial genome sequences are downloaded from the A Systematic Annotation Package (ASAP) database that provides curation of genomes using comparative approaches. Curated lists of bacterial genes relevant to pathogenicity and avirulence are also provided. The Plant Pathogen Transcript Assemblies Database provides annotated assemblies of the transcribed regions of 82 eukaryotic genomes from publicly available single pass Expressed Sequence Tags. Data-mining tools are provided along with tools to create candidate diagnostic markers, an emerging use for genomic sequence data in plant pathology. The Plant Pathogen Ribosomal DNA (rDNA) database is a resource for pathogens that lack genome or transcriptome data sets and contains 131 755 rDNA sequences from GenBank for 17 613 species identified as plant pathogens and related genera. Database URL: http://cpgr.plantbiology.msu.edu. PMID:22120664

  13. Expanding the computational toolbox for mining cancer genomes

    PubMed Central

    Ding, Li; Wendl, Michael C.; McMichael, Joshua F.; Raphael, Benjamin J.

    2014-01-01

    High-throughput DNA sequencing has revolutionized cancer genomics with numerous discoveries relevant to cancer diagnosis and treatment. The latest sequencing and analysis methods have successfully identified somatic alterations including single nucleotide variants (SNVs), insertions and deletions (indels), structural aberrations, and gene fusions. Additional computational techniques have proved useful to define those mutations, genes, and molecular networks that drive diverse cancer phenotypes as well as determine clonal architectures in tumour samples. Collectively, these tools have advanced the study of genomic, transcriptomic, epigenomic alterations and their association to clinical properties. Here, we review cancer genomics software and the insights that have been gained from their application. PMID:25001846

  14. Discovery of novel phosphonate natural products and their biosynthetic pathways by large-scale genome mining

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genome mining has revolutionized the field of natural products, providing hope that new antibiotics can be discovered in time before all remainders are rendered useless against multidrug resistant pathogens. While this approach has been successful in academic settings focused on small collections or...

  15. Draft Genome Sequences of Two Novel Acidimicrobiaceae Members from an Acid Mine Drainage Biofilm Metagenome.

    PubMed

    Pinto, Ameet J; Sharp, Jonathan O; Yoder, Michael J; Almstrand, Robert

    2016-01-01

    Bacteria belonging to the family Acidimicrobiaceae are frequently encountered in heavy metal-contaminated acidic environments. However, their phylogenetic and metabolic diversity is poorly resolved. We present draft genome sequences of two novel and phylogenetically distinct Acidimicrobiaceae members assembled from an acid mine drainage biofilm metagenome. PMID:26769942

  16. Imaging mass spectrometry and genome mining reveal highly antifungal virulence factor of mushroom soft rot pathogen.

    PubMed

    Graupner, Katharina; Scherlach, Kirstin; Bretschneider, Tom; Lackner, Gerald; Roth, Martin; Gross, Harald; Hertweck, Christian

    2012-12-21

    Caught in the act: imaging mass spectrometry of a button mushroom infected with the soft rot pathogen Janthinobacterium agaricidamnosum in conjunction with genome mining revealed jagaricin as a highly antifungal virulence factor that is not produced under standard cultivation conditions. The structure of jagaricin was rigorously elucidated by a combination of physicochemical analyses, chemical derivatization, and bioinformatics. PMID:23161559

  17. Draft Genome Sequences of Two Novel Acidimicrobiaceae Members from an Acid Mine Drainage Biofilm Metagenome

    PubMed Central

    Pinto, Ameet J.; Sharp, Jonathan O.; Yoder, Michael J.

    2016-01-01

    Bacteria belonging to the family Acidimicrobiaceae are frequently encountered in heavy metal-contaminated acidic environments. However, their phylogenetic and metabolic diversity is poorly resolved. We present draft genome sequences of two novel and phylogenetically distinct Acidimicrobiaceae members assembled from an acid mine drainage biofilm metagenome. PMID:26769942

  18. VirSorter: mining viral signal from microbial genomic data.

    PubMed

    Roux, Simon; Enault, Francois; Hurwitz, Bonnie L; Sullivan, Matthew B

    2015-01-01

    Viruses of microbes impact all ecosystems where microbes drive key energy and substrate transformations including the oceans, humans and industrial fermenters. However, despite this recognized importance, our understanding of viral diversity and impacts remains limited by too few model systems and reference genomes. One way to fill these gaps in our knowledge of viral diversity is through the detection of viral signal in microbial genomic data. While multiple approaches have been developed and applied for the detection of prophages (viral genomes integrated in a microbial genome), new types of microbial genomic data are emerging that are more fragmented and larger scale, such as Single-cell Amplified Genomes (SAGs) of uncultivated organisms or genomic fragments assembled from metagenomic sequencing. Here, we present VirSorter, a tool designed to detect viral signal in these different types of microbial sequence data in both a reference-dependent and reference-independent manner, leveraging probabilistic models and extensive virome data to maximize detection of novel viruses. Performance testing shows that VirSorter's prophage prediction capability compares to that of available prophage predictors for complete genomes, but is superior in predicting viral sequences outside of a host genome (i.e., from extrachromosomal prophages, lytic infections, or partially assembled prophages). Furthermore, VirSorter outperforms existing tools for fragmented genomic and metagenomic datasets, and can identify viral signal in assembled sequence (contigs) as short as 3kb, while providing near-perfect identification (>95% Recall and 100% Precision) on contigs of at least 10kb. Because VirSorter scales to large datasets, it can also be used in "reverse" to more confidently identify viral sequence in viral metagenomes by sorting away cellular DNA whether derived from gene transfer agents, generalized transduction or contamination. Finally, VirSorter is made available through the i

  19. VirSorter: mining viral signal from microbial genomic data

    PubMed Central

    Roux, Simon; Enault, Francois; Hurwitz, Bonnie L.

    2015-01-01

    Viruses of microbes impact all ecosystems where microbes drive key energy and substrate transformations including the oceans, humans and industrial fermenters. However, despite this recognized importance, our understanding of viral diversity and impacts remains limited by too few model systems and reference genomes. One way to fill these gaps in our knowledge of viral diversity is through the detection of viral signal in microbial genomic data. While multiple approaches have been developed and applied for the detection of prophages (viral genomes integrated in a microbial genome), new types of microbial genomic data are emerging that are more fragmented and larger scale, such as Single-cell Amplified Genomes (SAGs) of uncultivated organisms or genomic fragments assembled from metagenomic sequencing. Here, we present VirSorter, a tool designed to detect viral signal in these different types of microbial sequence data in both a reference-dependent and reference-independent manner, leveraging probabilistic models and extensive virome data to maximize detection of novel viruses. Performance testing shows that VirSorter’s prophage prediction capability compares to that of available prophage predictors for complete genomes, but is superior in predicting viral sequences outside of a host genome (i.e., from extrachromosomal prophages, lytic infections, or partially assembled prophages). Furthermore, VirSorter outperforms existing tools for fragmented genomic and metagenomic datasets, and can identify viral signal in assembled sequence (contigs) as short as 3kb, while providing near-perfect identification (>95% Recall and 100% Precision) on contigs of at least 10kb. Because VirSorter scales to large datasets, it can also be used in “reverse” to more confidently identify viral sequence in viral metagenomes by sorting away cellular DNA whether derived from gene transfer agents, generalized transduction or contamination. Finally, VirSorter is made available through the i

  20. The next generation of literature analysis: integration of genomic analysis into text mining.

    PubMed

    Scherf, Matthias; Epple, Anton; Werner, Thomas

    2005-09-01

    Text-mining systems are indispensable tools to reduce the increasing flux of information in scientific literature to topics pertinent to a particular interest in focus. Most of the scientific literature is published as unstructured free text, complicating the development of data processing tools, which rely on structured information. To overcome the problems of free text analysis, structured, hand-curated information derived from literature is integrated in text-mining systems to improve precision and recall. In this paper several text-mining approaches are reviewed and the next step in development of text-mining systems, which is based on a concept of multiple lines of evidence, is described: results from literature analysis are combined with evidence from experiments and genome analysis to improve the accuracy of results and to generate additional knowledge beyond what is known solely from literature. PMID:16212776

  1. Identification of Thiotetronic Acid Antibiotic Biosynthetic Pathways by Target-directed Genome Mining.

    PubMed

    Tang, Xiaoyu; Li, Jie; Millán-Aguiñaga, Natalie; Zhang, Jia Jia; O'Neill, Ellis C; Ugalde, Juan A; Jensen, Paul R; Mantovani, Simone M; Moore, Bradley S

    2015-12-18

    Recent genome sequencing efforts have led to the rapid accumulation of uncharacterized or "orphaned" secondary metabolic biosynthesis gene clusters (BGCs) in public databases. This increase in DNA-sequenced big data has given rise to significant challenges in the applied field of natural product genome mining, including (i) how to prioritize the characterization of orphan BGCs and (ii) how to rapidly connect genes to biosynthesized small molecules. Here, we show that by correlating putative antibiotic resistance genes that encode target-modified proteins with orphan BGCs, we predict the biological function of pathway specific small molecules before they have been revealed in a process we call target-directed genome mining. By querying the pan-genome of 86 Salinispora bacterial genomes for duplicated house-keeping genes colocalized with natural product BGCs, we prioritized an orphan polyketide synthase-nonribosomal peptide synthetase hybrid BGC (tlm) with a putative fatty acid synthase resistance gene. We employed a new synthetic double-stranded DNA-mediated cloning strategy based on transformation-associated recombination to efficiently capture tlm and the related ttm BGCs directly from genomic DNA and to heterologously express them in Streptomyces hosts. We show the production of a group of unusual thiotetronic acid natural products, including the well-known fatty acid synthase inhibitor thiolactomycin that was first described over 30 years ago, yet never at the genetic level in regards to biosynthesis and autoresistance. This finding not only validates the target-directed genome mining strategy for the discovery of antibiotic producing gene clusters without a priori knowledge of the molecule synthesized but also paves the way for the investigation of novel enzymology involved in thiotetronic acid natural product biosynthesis. PMID:26458099

  2. Draft Genome Sequence of Staphylococcus succinus Strain CSM-77, a Moderately Halophilic Bacterium Isolated from a Triassic Salt Mine.

    PubMed

    Megaw, Julianne; Gilmore, Brendan F

    2016-01-01

    Here, we report the draft genome sequence of Staphylococcus succinus strain CSM-77. This moderately halophilic bacterium was isolated from the surface of a halite sample obtained from a Triassic salt mine. PMID:27284152

  3. Draft Genome Sequence of Staphylococcus succinus Strain CSM-77, a Moderately Halophilic Bacterium Isolated from a Triassic Salt Mine

    PubMed Central

    Gilmore, Brendan F.

    2016-01-01

    Here, we report the draft genome sequence of Staphylococcus succinus strain CSM-77. This moderately halophilic bacterium was isolated from the surface of a halite sample obtained from a Triassic salt mine. PMID:27284152

  4. Genome-Wide Mining, Characterization, and Development of Microsatellite Markers in Gossypium Species

    PubMed Central

    Wang, Qiong; Fang, Lei; Chen, Jiedan; Hu, Yan; Si, Zhanfeng; Wang, Sen; Chang, Lijing; Guo, Wangzhen; Zhang, Tianzhen

    2015-01-01

    Although much research has been conducted to characterize microsatellites and develop markers, the distribution of microsatellites remains ambiguous and the use of microsatellite markers in genomic studies and marker-assisted selection is limited. To identify microsatellites for cotton research, we mined 100,290, 83,160, and 56,937 microsatellites with frequencies of 41.2, 49.1, and 74.8 microsatellites per Mb in the recently sequenced Gossypium species: G. hirsutum, G. arboreum, and G. raimondii, respectively. The distributions of microsatellites in their genomes were non-random and were positively and negatively correlated with genes and transposable elements, respectively. Of the 77,996 developed microsatellite markers, 65,498 were physically anchored to the 26 chromosomes of G. hirsutum with an average marker density of 34 markers per Mb. We confirmed 67,880 (87%) universal and 7,705 (9.9%) new genic microsatellite markers. The polymorphism was estimated in above three species by in silico PCR and validated with 505 markers in G. hirsutum. We further predicted 8,825 polymorphic microsatellite markers within G. hirsutum acc. TM-1 and G. barbadense cv. Hai7124. In our study, genome-wide mining and characterization of microsatellites, and marker development were very useful for the saturation of the allotetraploid genetic linkage map, genome evolution studies and comparative genome mapping. PMID:26030481

  5. Systematic Association of Genes to Phenotypes by Genome and Literature Mining

    PubMed Central

    2005-01-01

    One of the major challenges of functional genomics is to unravel the connection between genotype and phenotype. So far no global analysis has attempted to explore those connections in the light of the large phenotypic variability seen in nature. Here, we use an unsupervised, systematic approach for associating genes and phenotypic characteristics that combines literature mining with comparative genome analysis. We first mine the MEDLINE literature database for terms that reflect phenotypic similarities of species. Subsequently we predict the likely genomic determinants: genes specifically present in the respective genomes. In a global analysis involving 92 prokaryotic genomes we retrieve 323 clusters containing a total of 2,700 significant gene–phenotype associations. Some clusters contain mostly known relationships, such as genes involved in motility or plant degradation, often with additional hypothetical proteins associated with those phenotypes. Other clusters comprise unexpected associations; for example, a group of terms related to food and spoilage is linked to genes predicted to be involved in bacterial food poisoning. Among the clusters, we observe an enrichment of pathogenicity-related associations, suggesting that the approach reveals many novel genes likely to play a role in infectious diseases. PMID:15799710

  6. Recent advances in genome mining of secondary metabolites in Aspergillus terreus

    PubMed Central

    Guo, Chun-Jun; Wang, Clay C. C.

    2014-01-01

    Filamentous fungi are rich resources of secondary metabolites (SMs) with a variety of interesting biological activities. Recent advances in genome sequencing and techniques in genetic manipulation have enabled researchers to study the biosynthetic genes of these SMs. Aspergillus terreus is the well-known producer of lovastatin, a cholesterol-lowering drug. This fungus also produces other SMs, including acetylaranotin, butyrolactones, and territram, with interesting bioactivities. This review will cover recent progress in genome mining of SMs identified in this fungus. The identification and characterization of the gene cluster for these SMs, as well as the proposed biosynthetic pathways, will be discussed in depth. PMID:25566227

  7. Mining the pig genome to investigate the domestication process

    PubMed Central

    Ramos-Onsins, S E; Burgos-Paz, W; Manunza, A; Amills, M

    2014-01-01

    Pig domestication began around 9000 YBP in the Fertile Crescent and Far East, involving marked morphological and genetic changes that occurred in a relatively short window of time. Identifying the alleles that drove the behavioural and physiological transformation of wild boars into pigs through artificial selection constitutes a formidable challenge that can only be faced from an interdisciplinary perspective. Indeed, although basic facts regarding the demography of pig domestication and dispersal have been uncovered, the biological substrate of these processes remains enigmatic. Considerable hope has been placed on new approaches, based on next-generation sequencing, which allow whole-genome variation to be analyzed at the population level. In this review, we provide an outline of the current knowledge on pig domestication by considering both archaeological and genetic data. Moreover, we discuss several potential scenarios of genome evolution under the complex mixture of demography and selection forces at play during domestication. Finally, we highlight several technical and methodological approaches that may represent significant advances in resolving the conundrum of livestock domestication. PMID:25074569

  8. Genome mining offers a new starting point for parasitology research.

    PubMed

    Lv, Zhiyue; Wu, Zhongdao; Zhang, Limei; Ji, Pengyu; Cai, Yifeng; Luo, Shiqi; Wang, Hongxi; Li, Hao

    2015-02-01

    Parasites including helminthes, protozoa, and medical arthropod vectors are a major cause of global infectious diseases, affecting one-sixth of the world's population, which are responsible for enormous levels of morbidity and mortality important and remain impediments to economic development especially in tropical countries. Prevalent drug resistance, lack of highly effective and practical vaccines, as well as specific and sensitive diagnostic markers are proving to be challenging problems in parasitic disease control in most parts of the world. The impressive progress recently made in genome-wide analysis of parasites of medical importance, including trematodes of Clonorchis sinensis, Opisthorchis viverrini, Schistosoma haematobium, S. japonicum, and S. mansoni; nematodes of Brugia malayi, Loa loa, Necator americanus, Trichinella spiralis, and Trichuris suis; cestodes of Echinococcus granulosus, E. multilocularis, and Taenia solium; protozoa of Babesia bovis, B. microti, Cryptosporidium hominis, Eimeria falciformis, E. histolytica, Giardia intestinalis, Leishmania braziliensis, L. donovani, L. major, Plasmodium falciparum, P. vivax, Trichomonas vaginalis, Trypanosoma brucei and T. cruzi; and medical arthropod vectors of Aedes aegypti, Anopheles darlingi, A. sinensis, and Culex quinquefasciatus, have been systematically covered in this review for a comprehensive understanding of the genetic information contained in nuclear, mitochondrial, kinetoplast, plastid, or endosymbiotic bacterial genomes of parasites, further valuable insight into parasite-host interactions and development of promising novel drug and vaccine candidates and preferable diagnostic tools, thereby underpinning the prevention and control of parasitic diseases. PMID:25563615

  9. metabolicMine: an integrated genomics, genetics and proteomics data warehouse for common metabolic disease research.

    PubMed

    Lyne, Mike; Smith, Richard N; Lyne, Rachel; Aleksic, Jelena; Hu, Fengyuan; Kalderimis, Alex; Stepan, Radek; Micklem, Gos

    2013-01-01

    Common metabolic and endocrine diseases such as diabetes affect millions of people worldwide and have a major health impact, frequently leading to complications and mortality. In a search for better prevention and treatment, there is ongoing research into the underlying molecular and genetic bases of these complex human diseases, as well as into the links with risk factors such as obesity. Although an increasing number of relevant genomic and proteomic data sets have become available, the quantity and diversity of the data make their efficient exploitation challenging. Here, we present metabolicMine, a data warehouse with a specific focus on the genomics, genetics and proteomics of common metabolic diseases. Developed in collaboration with leading UK metabolic disease groups, metabolicMine integrates data sets from a range of experiments and model organisms alongside tools for exploring them. The current version brings together information covering genes, proteins, orthologues, interactions, gene expression, pathways, ontologies, diseases, genome-wide association studies and single nucleotide polymorphisms. Although the emphasis is on human data, key data sets from mouse and rat are included. These are complemented by interoperation with the RatMine rat genomics database, with a corresponding mouse version under development by the Mouse Genome Informatics (MGI) group. The web interface contains a number of features including keyword search, a library of Search Forms, the QueryBuilder and list analysis tools. This provides researchers with many different ways to analyse, view and flexibly export data. Programming interfaces and automatic code generation in several languages are supported, and many of the features of the web interface are available through web services. The combination of diverse data sets integrated with analysis tools and a powerful query system makes metabolicMine a valuable research resource. The web interface makes it accessible to first

  10. Study of Lateral Gene Transfer in an Acid Mine Drainage Community Enabled by Comparative Genomics

    NASA Astrophysics Data System (ADS)

    Hugenholtz, P.; Croft, L.; Tyson, G. W.; Baker, B. J.; Detter, C.; Richardson, P. M.; Banfield, J. F.

    2002-12-01

    Lateral gene transfer (LGT) is thought to play a crucial role in the ecology and evolution of prokaryotes. We are investigating the role of LGT in an acid mine drainage community hosted in a pyrite-dominated metal sulfide deposit at the Richmond mine at Iron Mountain, CA. Due to biologically-mediated pyrite dissolution, the prevailing conditions within the mine are extremely low pH (< 1.0), very high ionic concentrations (molar concentrations of iron sulfate and mM concentrations of arsenic, copper and zinc), and moderate to high temperatures (30 to >50 C). These conditions are thought to largely isolate the community from potential external gene donors since naked DNA, phage and prokaryotes native to neutral pH habitats do not persist at pH <1.0 precluding an external influx of genes by transformation, transduction and conjugation, respectively. Microbial communities exist in several distinct habitats within Richmond mine including biofilms (subaqueous slime streamers and subaerial slimes) and cells attached directly to pyrite granules. This, however, belies an unusual simplicity in community composition. All communities investigated to date comprise only a handful of phylogenetically distinct organisms, typically dominated by the iron-oxidizing genera Leptospirillum and Ferroplasma. We have undertaken a community genomics analysis of a subaerial biofilm dominated by a Leptospirillum population to facilitate the study of LGT in this type of environment. The genome of Ferroplasma acidarmanus fer1, a minor component of the target community (but a major component of other Richmond mine communities), has been sequenced. Comparative genome analyses indicate that F. acidarmanus and the ancestor of two acidophilic Thermoplasma species belonging to the Euryarchaeota have traded many genes with phylogenetically remote acidophilic Sulfolobus species (Crenarchaeota). The putatively transferred sets of Sulfolobus genes in Ferroplasma and the Thermoplasma ancestor are distinct

  11. metabolicMine: an integrated genomics, genetics and proteomics data warehouse for common metabolic disease research

    PubMed Central

    Lyne, Mike; Smith, Richard N; Lyne, Rachel; Aleksic, Jelena; Hu, Fengyuan; Kalderimis, Alex; Stepan, Radek; Micklem, Gos

    2013-01-01

    Common metabolic and endocrine diseases such as diabetes affect millions of people worldwide and have a major health impact, frequently leading to complications and mortality. In a search for better prevention and treatment, there is ongoing research into the underlying molecular and genetic bases of these complex human diseases, as well as into the links with risk factors such as obesity. Although an increasing number of relevant genomic and proteomic data sets have become available, the quantity and diversity of the data make their efficient exploitation challenging. Here, we present metabolicMine, a data warehouse with a specific focus on the genomics, genetics and proteomics of common metabolic diseases. Developed in collaboration with leading UK metabolic disease groups, metabolicMine integrates data sets from a range of experiments and model organisms alongside tools for exploring them. The current version brings together information covering genes, proteins, orthologues, interactions, gene expression, pathways, ontologies, diseases, genome-wide association studies and single nucleotide polymorphisms. Although the emphasis is on human data, key data sets from mouse and rat are included. These are complemented by interoperation with the RatMine rat genomics database, with a corresponding mouse version under development by the Mouse Genome Informatics (MGI) group. The web interface contains a number of features including keyword search, a library of Search Forms, the QueryBuilder and list analysis tools. This provides researchers with many different ways to analyse, view and flexibly export data. Programming interfaces and automatic code generation in several languages are supported, and many of the features of the web interface are available through web services. The combination of diverse data sets integrated with analysis tools and a powerful query system makes metabolicMine a valuable research resource. The web interface makes it accessible to first

  12. Mining Genomes of Marine Cyanobacteria for Elements of Zinc Homeostasis

    PubMed Central

    Barnett, James P.; Millard, Andrew; Ksibe, Amira Z.; Scanlan, David J.; Schmid, Ralf; Blindauer, Claudia Andrea

    2012-01-01

    Zinc is a recognized essential element for the majority of organisms, and is indispensable for the correct function of hundreds of enzymes and thousands of regulatory proteins. In aquatic photoautotrophs including cyanobacteria, zinc is thought to be required for carbonic anhydrase and alkaline phosphatase, although there is evidence that at least some carbonic anhydrases can be cambialistic, i.e., are able to acquire in vivo and function with different metal cofactors such as Co2+ and Cd2+. Given the global importance of marine phytoplankton, zinc availability in the oceans is likely to have an impact on both carbon and phosphorus cycles. Zinc concentrations in seawater vary over several orders of magnitude, and in the open oceans adopt a nutrient-like profile. Most studies on zinc handling by cyanobacteria have focused on freshwater strains and zinc toxicity; much less information is available on marine strains and zinc limitation. Several systems for zinc homeostasis have been characterized in the freshwater species Synechococcus sp. PCC 7942 and Synechocystis sp. PCC 6803, but little is known about zinc requirements or zinc handling by marine species. Comparative metallo-genomics has begun to explore not only the putative zinc proteome, but also specific protein families predicted to have an involvement in zinc homeostasis, including sensors for excess and limitation (SmtB and its homologs as well as Zur), uptake systems (ZnuABC), putative intracellular zinc chaperones (COG0523) and metallothioneins (BmtA), and efflux pumps (ZiaA and its homologs). PMID:22514551

  13. Genomic Mining of Prokaryotic Repressors for Orthogonal Logic Gates

    PubMed Central

    Stanton, Brynne C.; Nielsen, Alec A.K.; Tamsir, Alvin; Clancy, Kevin; Peterson, Todd; Voigt, Christopher A.

    2014-01-01

    Genetic circuits perform computational operations based on interactions between freely diffusing molecules within a cell. When transcription factors are combined to build a circuit, unintended interactions can disrupt its function. Here, we apply “part mining” to build a library of 73 TetR-family repressors gleaned from prokaryotic genomes. The operators of a subset were determined using an in vitro method and this information was used to build synthetic promoters. The promoters and repressors were screened for cross-reactions. Of these, 16 were identified that both strongly repress their cognate promoter (5- to 207-fold) and do not interact with other promoters. Each repressor:promoter pair was converted to a NOT gate and characterized. Used as a set of 16 NOR gates, there are >1054 circuits that could be built by changing the pattern of input and output promoters. This represents a large set of compatible gates that can be used to construct user-defined circuits. PMID:24316737

  14. Genome Mining in Sorangium cellulosum So ce56

    PubMed Central

    Ewen, Kerstin Maria; Hannemann, Frank; Khatri, Yogan; Perlova, Olena; Kappl, Reinhard; Krug, Daniel; Hüttermann, Jürgen; Müller, Rolf; Bernhardt, Rita

    2009-01-01

    Myxobacteria, especially members of the genus Sorangium, are known for their biotechnological potential as producers of pharmaceutically valuable secondary metabolites. The biosynthesis of several of those myxobacterial compounds includes cytochrome P450 activity. Although class I cytochrome P450 enzymes occur wide-spread in bacteria and rely on ferredoxins and ferredoxin reductases as essential electron mediators, the study of these proteins is often neglected. Therefore, we decided to search in the Sorangium cellulosum So ce56 genome for putative interaction partners of cytochromes P450. In this work we report the investigation of eight myxobacterial ferredoxins and two ferredoxin reductases with respect to their activity in cytochrome P450 systems. Intriguingly, we found not only one, but two ferredoxins whose ability to sustain an endogenous So ce56 cytochrome P450 was demonstrated by CYP260A1-dependent conversion of nootkatone. Moreover, we could demonstrate that the two ferredoxins were able to receive electrons from both ferredoxin reductases. These findings indicate that S. cellulosum can alternate between different electron transport pathways to sustain cytochrome P450 activity. PMID:19696019

  15. Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data.

    PubMed

    Bolser, Dan; Staines, Daniel M; Pritchard, Emily; Kersey, Paul

    2016-01-01

    Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for a growing number of sequenced plant species (currently 33). Data provided includes genome sequence, gene models, functional annotation, and polymorphic loci. Various additional information are provided for variation data, including population structure, individual genotypes, linkage, and phenotype data. In each release, comparative analyses are performed on whole genome and protein sequences, and genome alignments and gene trees are made available that show the implied evolutionary history of each gene family. Access to the data is provided through a genome browser incorporating many specialist interfaces for different data types, and through a variety of additional methods for programmatic access and data mining. These access routes are consistent with those offered through the Ensembl interface for the genomes of non-plant species, including those of plant pathogens, pests, and pollinators.Ensembl Plants is updated 4-5 times a year and is developed in collaboration with our international partners in the Gramene ( http://www.gramene.org ) and transPLANT projects ( http://www.transplantdb.org ). PMID:26519403

  16. Mining and characterization of two amidase signature family amidases from Brevibacterium epidermidis ZJB-07021 by an efficient genome mining approach.

    PubMed

    Ruan, Li-Tao; Zheng, Ren-Chao; Zheng, Yu-Guo

    2016-10-01

    Amidases have received increasing attention for their significant potential in the production of valuable carboxylic acids. In this study, two amidases belonging to amidase signature family (BeAmi2 and BeAmi4) were identified and mined from genomic DNA of Brevibacterium epidermidis ZJB-07021 by an efficient strategy combining comparative analysis of genomes and identification of unknown region by high-efficiency thermal asymmetric interlaced PCR (HiTAIL-PCR). The deduced amino acid sequences of BeAmi2 and BeAmi4 showed low identity (< 40%) with other reported amidases. The two amidases displayed optimum activity toward a wide spectrum of substrates at a mild alkaline pH and 45 °C. Both of them were remarkably inactivated by serine-directed inhibitor and sulfhydryl-reducing agent. Kinetic analysis revealed that nicotinamide was the preferable substrate for both amidases and the chlorine substitutions on the pyridine ring had a negative effect on activity. The bioprocesses for hydrolysis of 100 mM nicotinamide, isonicotinamide, 2-chloronicotinamide and 5-chloronicotinamide with purified BeAmi2 (6 U mL(-1)) were complete in 60 min with full conversion except 2-chloronicotinamide. These results indicated BeAmi2 was an effective catalyst for hydrolysis of several nicotinamide derivatives. PMID:27180252

  17. Discovery of phosphonic acid natural products by mining the genomes of 10,000 actinomycetes.

    PubMed

    Ju, Kou-San; Gao, Jiangtao; Doroghazi, James R; Wang, Kwo-Kwang A; Thibodeaux, Christopher J; Li, Steven; Metzger, Emily; Fudala, John; Su, Joleen; Zhang, Jun Kai; Lee, Jaeheon; Cioni, Joel P; Evans, Bradley S; Hirota, Ryuichi; Labeda, David P; van der Donk, Wilfred A; Metcalf, William W

    2015-09-29

    Although natural products have been a particularly rich source of human medicines, activity-based screening results in a very high rate of rediscovery of known molecules. Based on the large number of natural product biosynthetic genes in microbial genomes, many have proposed "genome mining" as an alternative approach for discovery efforts; however, this idea has yet to be performed experimentally on a large scale. Here, we demonstrate the feasibility of large-scale, high-throughput genome mining by screening a collection of over 10,000 actinomycetes for the genetic potential to make phosphonic acids, a class of natural products with diverse and useful bioactivities. Genome sequencing identified a diverse collection of phosphonate biosynthetic gene clusters within 278 strains. These clusters were classified into 64 distinct groups, of which 55 are likely to direct the synthesis of unknown compounds. Characterization of strains within five of these groups resulted in the discovery of a new archetypical pathway for phosphonate biosynthesis, the first (to our knowledge) dedicated pathway for H-phosphinates, and 11 previously undescribed phosphonic acid natural products. Among these compounds are argolaphos, a broad-spectrum antibacterial phosphonopeptide composed of aminomethylphosphonate in peptide linkage to a rare amino acid N(5)-hydroxyarginine; valinophos, an N-acetyl l-Val ester of 2,3-dihydroxypropylphosphonate; and phosphonocystoximate, an unusual thiohydroximate-containing molecule representing a new chemotype of sulfur-containing phosphonate natural products. Analysis of the genome sequences from the remaining strains suggests that the majority of the phosphonate biosynthetic repertoire of Actinobacteria has been captured at the gene level. This dereplicated strain collection now provides a reservoir of numerous, as yet undiscovered, phosphonate natural products. PMID:26324907

  18. Bioactivity-guided genome mining reveals the lomaiviticin biosynthetic gene cluster in Salinispora tropica

    PubMed Central

    Kersten, Roland D.; Lane, Amy L.; Nett, Markus; Richter, Taylor K. S.; Duggan, Brendan M.; Dorrestein, Pieter C.

    2013-01-01

    The use of genome sequences has become routine in guiding the discovery and identification of microbial natural products and their biosynthetic pathways. In silico prediction of molecular features, such as metabolic building blocks, physico-chemical properties or biological functions, from orphan gene clusters has opened up the characterization of many new chemo- and genotypes in genome mining approaches. Here, we guided our genome mining of two predicted enediyne pathways in Salinispora tropica CNB-440 by a DNA interference bioassay to isolate DNA-targeting enediyne polyketides. An organic extract of S. tropica showed DNA-interference activity that surprisingly was not abolished in genetic mutants of the targeted enediyne pathways, ST_pks1 and spo. Instead we showed that the product of the orphan type II polyketide synthase pathway, ST_pks2, is solely responsible for the DNA-interfering activity of the parent strain. Subsequent comparative metabolic profiling revealed the lomaiviticins, glycosylated diazofluorene polyketides, as the ST_pks2 products. This study marks the first report of the 59 open reading frame lomaiviticin gene cluster (lom) and supports the biochemical logic of their dimeric construction via a pathway related to the kinamycin monomer. PMID:23649992

  19. Integrative genomic mining for enzyme function to enable engineering of a non-natural biosynthetic pathway

    PubMed Central

    Mak, Wai Shun; Tran, Stephen; Marcheschi, Ryan; Bertolani, Steve; Thompson, James; Baker, David; Liao, James C.; Siegel, Justin B.

    2015-01-01

    The ability to biosynthetically produce chemicals beyond what is commonly found in Nature requires the discovery of novel enzyme function. Here we utilize two approaches to discover enzymes that enable specific production of longer-chain (C5–C8) alcohols from sugar. The first approach combines bioinformatics and molecular modelling to mine sequence databases, resulting in a diverse panel of enzymes capable of catalysing the targeted reaction. The median catalytic efficiency of the computationally selected enzymes is 75-fold greater than a panel of naively selected homologues. This integrative genomic mining approach establishes a unique avenue for enzyme function discovery in the rapidly expanding sequence databases. The second approach uses computational enzyme design to reprogramme specificity. Both approaches result in enzymes with >100-fold increase in specificity for the targeted reaction. When enzymes from either approach are integrated in vivo, longer-chain alcohol production increases over 10-fold and represents >95% of the total alcohol products. PMID:26598135

  20. Perspective: NanoMine: A material genome approach for polymer nanocomposites analysis and design

    NASA Astrophysics Data System (ADS)

    Zhao, He; Li, Xiaolin; Zhang, Yichi; Schadler, Linda S.; Chen, Wei; Brinson, L. Catherine

    2016-05-01

    Polymer nanocomposites are a designer class of materials where nanoscale particles, functional chemistry, and polymer resin combine to provide materials with unprecedented combinations of physical properties. In this paper, we introduce NanoMine, a data-driven web-based platform for analysis and design of polymer nanocomposite systems under the material genome concept. This open data resource strives to curate experimental and computational data on nanocomposite processing, structure, and properties, as well as to provide analysis and modeling tools that leverage curated data for material property prediction and design. With a continuously expanding dataset and toolkit, NanoMine encourages community feedback and input to construct a sustainable infrastructure that benefits nanocomposite material research and development.

  1. Integrative genomic mining for enzyme function to enable engineering of a non-natural biosynthetic pathway.

    PubMed

    Mak, Wai Shun; Tran, Stephen; Marcheschi, Ryan; Bertolani, Steve; Thompson, James; Baker, David; Liao, James C; Siegel, Justin B

    2015-01-01

    The ability to biosynthetically produce chemicals beyond what is commonly found in Nature requires the discovery of novel enzyme function. Here we utilize two approaches to discover enzymes that enable specific production of longer-chain (C5-C8) alcohols from sugar. The first approach combines bioinformatics and molecular modelling to mine sequence databases, resulting in a diverse panel of enzymes capable of catalysing the targeted reaction. The median catalytic efficiency of the computationally selected enzymes is 75-fold greater than a panel of naively selected homologues. This integrative genomic mining approach establishes a unique avenue for enzyme function discovery in the rapidly expanding sequence databases. The second approach uses computational enzyme design to reprogramme specificity. Both approaches result in enzymes with >100-fold increase in specificity for the targeted reaction. When enzymes from either approach are integrated in vivo, longer-chain alcohol production increases over 10-fold and represents >95% of the total alcohol products. PMID:26598135

  2. Genome mining of ascomycetous fungi reveals their genetic potential for ergot alkaloid production.

    PubMed

    Gerhards, Nina; Matuschek, Marco; Wallwey, Christiane; Li, Shu-Ming

    2015-06-01

    Ergot alkaloids are important as mycotoxins or as drugs. Naturally occurring ergot alkaloids as well as their semisynthetic derivatives have been used as pharmaceuticals in modern medicine for decades. We identified 196 putative ergot alkaloid biosynthetic genes belonging to at least 31 putative gene clusters in 31 fungal species by genome mining of the 360 available genome sequences of ascomycetous fungi with known proteins. Detailed analysis showed that these fungi belong to the families Aspergillaceae, Clavicipitaceae, Arthrodermataceae, Helotiaceae and Thermoascaceae. Within the identified families, only a small number of taxa are represented. Literature search revealed a large diversity of ergot alkaloid structures in different fungi of the phylum Ascomycota. However, ergot alkaloid accumulation was only observed in 15 of the sequenced species. Therefore, this study provides genetic basis for further study on ergot alkaloid production in the sequenced strains. PMID:25796201

  3. Culture-independent Community Genomics Study of Microogranisms Associated with Acid Mine Drainage

    NASA Astrophysics Data System (ADS)

    Tyson, G. W.; Hugenholtz, P.; Detter, C.; Richardson, P. M.; Banfield, J. F.

    2002-12-01

    Acid mine drainage (AMD) is a serious environmental problem that occurs when pyrite (FeS2)-rich rocks are exposed to air, water, and oxidizing agents. Pyrite dissolution is exothermic, yielding hot, metal-rich, extremely acidic solutions. Despite the hostile nature of AMD environments, microbial communities thrive, and are believed to control the rates of pyrite dissolution and acid generation. Previous studies of microbial communities within the Richmond Mine at Iron Mt., Redding, CA, revealed low species-level diversity and established close connections between metabolism and geochemistry. Thus, these communities are ideal candidates for culture-independent genomics-enabled analyses. Samples collected from the Richmond Mine in March 2002 were screened using quantitative fluorescence in situ hybridization to choose the most suitable target community for a genomics-enabled ecological study. The community selected (a pink subaerial biofilm) has low species complexity but high phylogenetic diversity, containing ~75% Leptospirillum group II (closely related to Leptospirillum ferriphilum), ~10% Leptospirillum group III, and ~10% archaea that fall into three distinct groups within the Thermoplasmatales order (Ferroplasma sp., for which genome data is already available, A-plasma and D-plasma). High throughput sequencing of four 16S rDNA clone libraries confirmed the low species-level diversity in this community and suggested that the extent of microheterogeneity within each of the five populations was limited. 17 unique Leptospirillum group II 16S rDNA phylotypes (defined by one or more base change) were resolved, with ~85% belonging to one phylotype. The remaining ~15% were very similar in sequence identity, only diverging by 1.2% in total. Similarly, 14 unique Leptospirillum group III phylotypes formed a tight cluster with < 0.8% sequence divergence. The limited inter-species, and significant intra-species variation in the populations should allow determination of the

  4. Discovery of pentangular polyphenols hexaricins A-C from marine Streptosporangium sp. CGMCC 4.7309 by genome mining.

    PubMed

    Tian, Jun; Chen, Haiyan; Guo, Zhengyan; Liu, Ning; Li, Jine; Huang, Ying; Xiang, Wensheng; Chen, Yihua

    2016-05-01

    Many novel microbial nature products were discovered from Actinobacteria by genome mining methods. However, only a few number of genome mining works were carried out in rare actinomycetes. An important reason precluding the genome mining efforts in rare actinomycetes is that most of them are recalcitrant to genetic manipulation. Herein, we chose the rare marine actinomycete Streptosporangium sp. CGMCC 4.7309 to explore its secondary metabolite diversity by genome mining. The genetic manipulation method has never been established for Streptosporangium strains. At first, we set up the genetic system of Streptosporangium sp. CGMCC 4.7309 unprecedentedly. The draft genome sequencing of Streptosporangium sp. CGMCC 4.7309 revealed that it contains more than 20 cryptic secondary metabolite biosynthetic clusters. A type II polyketide synthases-containing cluster (the hex cluster) was predicted to encode compounds with a pentangular polyphenol scaffold by in silico analysis. The products of the hex cluster were uncovered by comparing the metabolic profile of Streptosporangium sp. CGMCC 4.7309 with that of the hex30 inactivated mutant, in which a key ketoreductase gene was disrupted. Finally, three pentangular polyphenols were isolated and named as hexaricins A (1), B (2), and C (3). The inconsistency of the stereochemistry of C-15 in hexaricins A, B, and C indicates a branch point in their biosynthesis. Finally, the biosynthetic pathway of the hexaricins was proposed based on bioinformatics analysis. PMID:26754814

  5. Discovery of phosphonic acid natural products by mining the genomes of 10,000 actinomycetes

    PubMed Central

    Ju, Kou-San; Gao, Jiangtao; Doroghazi, James R.; Wang, Kwo-Kwang A.; Thibodeaux, Christopher J.; Li, Steven; Metzger, Emily; Fudala, John; Su, Joleen; Zhang, Jun Kai; Lee, Jaeheon; Cioni, Joel P.; Evans, Bradley S.; Hirota, Ryuichi; Labeda, David P.; van der Donk, Wilfred A.; Metcalf, William W.

    2015-01-01

    Although natural products have been a particularly rich source of human medicines, activity-based screening results in a very high rate of rediscovery of known molecules. Based on the large number of natural product biosynthetic genes in microbial genomes, many have proposed “genome mining” as an alternative approach for discovery efforts; however, this idea has yet to be performed experimentally on a large scale. Here, we demonstrate the feasibility of large-scale, high-throughput genome mining by screening a collection of over 10,000 actinomycetes for the genetic potential to make phosphonic acids, a class of natural products with diverse and useful bioactivities. Genome sequencing identified a diverse collection of phosphonate biosynthetic gene clusters within 278 strains. These clusters were classified into 64 distinct groups, of which 55 are likely to direct the synthesis of unknown compounds. Characterization of strains within five of these groups resulted in the discovery of a new archetypical pathway for phosphonate biosynthesis, the first (to our knowledge) dedicated pathway for H-phosphinates, and 11 previously undescribed phosphonic acid natural products. Among these compounds are argolaphos, a broad-spectrum antibacterial phosphonopeptide composed of aminomethylphosphonate in peptide linkage to a rare amino acid N5-hydroxyarginine; valinophos, an N-acetyl l-Val ester of 2,3-dihydroxypropylphosphonate; and phosphonocystoximate, an unusual thiohydroximate-containing molecule representing a new chemotype of sulfur-containing phosphonate natural products. Analysis of the genome sequences from the remaining strains suggests that the majority of the phosphonate biosynthetic repertoire of Actinobacteria has been captured at the gene level. This dereplicated strain collection now provides a reservoir of numerous, as yet undiscovered, phosphonate natural products. PMID:26324907

  6. Genome mining: Prediction of lipopeptides and polyketides from Bacillus and related Firmicutes.

    PubMed

    Aleti, Gajender; Sessitsch, Angela; Brader, Günter

    2015-01-01

    Bacillus and related genera in the Bacillales within the Firmicutes harbor a variety of secondary metabolite gene clusters encoding polyketide synthases and non-ribosomal peptide synthetases responsible for remarkable diverse number of polyketides (PKs) and lipopeptides (LPs). These compounds may be utilized for medical and agricultural applications. Here, we summarize the knowledge on structural diversity and underlying gene clusters of LPs and PKs in the Bacillales. Moreover, we evaluate by using published prediction tools the potential metabolic capacity of these bacteria to produce type I PKs or LPs. The huge sequence repository of bacterial genomes and metagenomes provides the basis for such genome-mining to reveal the potential for novel structurally diverse secondary metabolites. The otherwise cumbersome task to isolate often unstable PKs and deduce their structure can be streamlined. Using web based prediction tools, we identified here several novel clusters of PKs and LPs from genomes deposited in the database. Our analysis suggests that a substantial fraction of predicted LPs and type I PKs are uncharacterized, and their functions remain to be studied. Known and predicted LPs and PKs occurred in the majority of the plant associated genera, predominantly in Bacillus and Paenibacillus. Surprisingly, many genera from other environments contain no or few of such compounds indicating the role of these secondary metabolites in plant-associated niches. PMID:25893081

  7. Genome mining: Prediction of lipopeptides and polyketides from Bacillus and related Firmicutes

    PubMed Central

    Aleti, Gajender; Sessitsch, Angela; Brader, Günter

    2015-01-01

    Bacillus and related genera in the Bacillales within the Firmicutes harbor a variety of secondary metabolite gene clusters encoding polyketide synthases and non-ribosomal peptide synthetases responsible for remarkable diverse number of polyketides (PKs) and lipopeptides (LPs). These compounds may be utilized for medical and agricultural applications. Here, we summarize the knowledge on structural diversity and underlying gene clusters of LPs and PKs in the Bacillales. Moreover, we evaluate by using published prediction tools the potential metabolic capacity of these bacteria to produce type I PKs or LPs. The huge sequence repository of bacterial genomes and metagenomes provides the basis for such genome-mining to reveal the potential for novel structurally diverse secondary metabolites. The otherwise cumbersome task to isolate often unstable PKs and deduce their structure can be streamlined. Using web based prediction tools, we identified here several novel clusters of PKs and LPs from genomes deposited in the database. Our analysis suggests that a substantial fraction of predicted LPs and type I PKs are uncharacterized, and their functions remain to be studied. Known and predicted LPs and PKs occurred in the majority of the plant associated genera, predominantly in Bacillus and Paenibacillus. Surprisingly, many genera from other environments contain no or few of such compounds indicating the role of these secondary metabolites in plant-associated niches. PMID:25893081

  8. Data Mining Approaches for Genome-Wide Association of Mood Disorders

    PubMed Central

    Pirooznia, Mehdi; Seifuddin, Fayaz; Judy, Jennifer; Mahon, Pamela B.; Potash, James B.; Zandi, Peter P.

    2012-01-01

    Mood disorders are highly heritable forms of major mental illness. A major breakthrough in elucidating the genetic architecture of mood disorders was anticipated with the advent of genome-wide association studies (GWAS). However, to date few susceptibility loci have been conclusively identified. The genetic etiology of mood disorders appears to be quite complex, and as a result, alternative approaches for analyzing GWAS data are needed. Recently, a polygenic scoring approach that captures the effects of alleles across multiple loci was successfully applied to the analysis of GWAS data in schizophrenia and bipolar disorder (BP). However, this method may be overly simplistic in its approach to the complexity of genetic effects. Data mining methods are available that may be applied to analyze the high dimensional data generated by GWAS of complex psychiatric disorders. We sought to compare the performance of five data mining methods, namely, Bayesian Networks (BN), Support Vector Machine (SVM), Random Forest (RF), Radial Basis Function network (RBF), and Logistic Regression (LR), against the polygenic scoring approach in the analysis of GWAS data on BP. The different classification methods were trained on GWAS datasets from the Bipolar Genome Study (2,191 cases with BP and 1,434 controls) and their ability to accurately classify case/control status was tested on a GWAS dataset from the Wellcome Trust Case Control Consortium. The performance of the classifiers in the test dataset was evaluated by comparing area under the receiver operating characteristic curves (AUC). BN performed the best of all the data mining classifiers, but none of these did significantly better than the polygenic score approach. We further examined a subset of SNPs in genes that are expressed in the brain, under the hypothesis that these might be most relevant to BP susceptibility, but all the classifiers performed worse with this reduced set of SNPs. The discriminative accuracy of all of these

  9. Draft Genome Sequence of Plant Growth-Promoting Rhizobium Mesorhizobium amorphae, Isolated from Zinc-Lead Mine Tailings

    PubMed Central

    Hao, Xiuli; Lin, Yanbing; Johnstone, Laurel; Baltrus, David A.; Miller, Susan J.

    2012-01-01

    Here, we describe the draft genome sequence of Mesorhizobium amorphae strain CCNWGS0123, isolated from nodules of Robinia pseudoacacia growing on zinc-lead mine tailings. A large number of metal(loid) resistance genes, as well as genes reported to promote plant growth, were identified, presenting a great future potential for aiding phytoremediation in metal(loid)-contaminated soil. PMID:22247533

  10. A Novel CalB-Type Lipase Discovered by Fungal Genomes Mining

    PubMed Central

    Vaquero, Maria E.; de Eugenio, Laura I.; Martínez, Maria J.; Barriuso, Jorge

    2015-01-01

    The fungus Pseudozyma antarctica produces a lipase (CalB) with broad substrate specificity, stability, high regio- and enantio-selectivity. It is active in non-aqueous organic solvents and at elevated temperatures. Hence, CalB is a robust biocatalyst for chemical conversions on an industrial scale. Here we report the in silico mining of public metagenomes and fungal genomes to discover novel lipases with high homology to CalB. The candidates were selected taking into account homology and conserved motifs criteria, as well as, phylogeny and 3D model analyses. The most promising candidate (PlicB) presented interesting structural properties. PlicB was expressed in a heterologous host, purified and partially characterized. Further experiments will allow finding novel catalytic properties with biotechnological interest. PMID:25898146

  11. A novel calb-type lipase discovered by fungal genomes mining.

    PubMed

    Vaquero, Maria E; de Eugenio, Laura I; Martínez, Maria J; Barriuso, Jorge

    2015-01-01

    The fungus Pseudozyma antarctica produces a lipase (CalB) with broad substrate specificity, stability, high regio- and enantio-selectivity. It is active in non-aqueous organic solvents and at elevated temperatures. Hence, CalB is a robust biocatalyst for chemical conversions on an industrial scale. Here we report the in silico mining of public metagenomes and fungal genomes to discover novel lipases with high homology to CalB. The candidates were selected taking into account homology and conserved motifs criteria, as well as, phylogeny and 3D model analyses. The most promising candidate (PlicB) presented interesting structural properties. PlicB was expressed in a heterologous host, purified and partially characterized. Further experiments will allow finding novel catalytic properties with biotechnological interest. PMID:25898146

  12. Epigenetic Genome Mining of an Endophytic Fungus Leads to Pleiotropic Biosynthesis of Natural Products

    PubMed Central

    Mao, Xu-Ming; Xu, Wei; Li, Dehai; Yin, Wen-Bing; Chooi, Yit-Heng; Li, Yong-Quan

    2015-01-01

    The small molecule biosynthetic potential of most filamentous fungi remains largely unexplored and represents an attractive source for new compound discovery. Genome sequencing of Calcarisporium arbuscula, a mushroom endophytic fungus, revealed 68 core genes that are involved in natural products biosynthesis. This is in sharp contrast to predominant production of the ATPase inhibitors aurovertin B (1) and D (2). Inactivation of a histone H3 deacetylase HdaA led to pleiotropic activation and overexpression of more than 75% of the biosynthetic genes. Sampling of the overproduced compounds led to isolation of ten compounds of which four contain new structures, including the cyclic peptides arbumycin (3) and arbumelin (4); the diterpenoid arbuscullic acid A (11); and a meroterpenoid arbuscullic acid B (12). Such epigenetic modification therefore provides a rapid and global approach to mine the chemical diversity of endophytic fungi. PMID:26013262

  13. Discovery of Defense- and Neuropeptides in Social Ants by Genome-Mining

    PubMed Central

    Gruber, Christian W.; Muttenthaler, Markus

    2012-01-01

    Natural peptides of great number and diversity occur in all organisms, but analyzing their peptidome is often difficult. With natural product drug discovery in mind, we devised a genome-mining approach to identify defense- and neuropeptides in the genomes of social ants from Atta cephalotes (leaf-cutter ant), Camponotus floridanus (carpenter ant) and Harpegnathos saltator (basal genus). Numerous peptide-encoding genes of defense peptides, in particular defensins, and neuropeptides or regulatory peptide hormones, such as allatostatins and tachykinins, were identified and analyzed. Most interestingly we annotated genes that encode oxytocin/vasopressin-related peptides (inotocins) and their putative receptors. This is the first piece of evidence for the existence of this nonapeptide hormone system in ants (Formicidae) and supports recent findings in Tribolium castaneum (red flour beetle) and Nasonia vitripennis (parasitoid wasp), and therefore its confinement to some basal holometabolous insects. By contrast, the absence of the inotocin hormone system in Apis mellifera (honeybee), another closely-related member of the eusocial Hymenoptera clade, establishes the basis for future studies on the molecular evolution and physiological function of oxytocin/vasopressin-related peptides (vasotocin nonapeptide family) and their receptors in social insects. Particularly the identification of ant inotocin and defensin peptide sequences will provide a basis for future pharmacological characterization in the quest for potent and selective lead compounds of therapeutic value. PMID:22448224

  14. Discovery of defense- and neuropeptides in social ants by genome-mining.

    PubMed

    Gruber, Christian W; Muttenthaler, Markus

    2012-01-01

    Natural peptides of great number and diversity occur in all organisms, but analyzing their peptidome is often difficult. With natural product drug discovery in mind, we devised a genome-mining approach to identify defense- and neuropeptides in the genomes of social ants from Atta cephalotes (leaf-cutter ant), Camponotus floridanus (carpenter ant) and Harpegnathos saltator (basal genus). Numerous peptide-encoding genes of defense peptides, in particular defensins, and neuropeptides or regulatory peptide hormones, such as allatostatins and tachykinins, were identified and analyzed. Most interestingly we annotated genes that encode oxytocin/vasopressin-related peptides (inotocins) and their putative receptors. This is the first piece of evidence for the existence of this nonapeptide hormone system in ants (Formicidae) and supports recent findings in Tribolium castaneum (red flour beetle) and Nasonia vitripennis (parasitoid wasp), and therefore its confinement to some basal holometabolous insects. By contrast, the absence of the inotocin hormone system in Apis mellifera (honeybee), another closely-related member of the eusocial Hymenoptera clade, establishes the basis for future studies on the molecular evolution and physiological function of oxytocin/vasopressin-related peptides (vasotocin nonapeptide family) and their receptors in social insects. Particularly the identification of ant inotocin and defensin peptide sequences will provide a basis for future pharmacological characterization in the quest for potent and selective lead compounds of therapeutic value. PMID:22448224

  15. Glycogenomics as a mass spectrometry-guided genome-mining method for microbial glycosylated molecules

    PubMed Central

    Kersten, Roland D.; Ziemert, Nadine; Gonzalez, David J.; Duggan, Brendan M.; Nizet, Victor; Dorrestein, Pieter C.; Moore, Bradley S.

    2013-01-01

    Glycosyl groups are an essential mediator of molecular interactions in cells and on cellular surfaces. There are very few methods that directly relate sugar-containing molecules to their biosynthetic machineries. Here, we introduce glycogenomics as an experiment-guided genome-mining approach for fast characterization of glycosylated natural products (GNPs) and their biosynthetic pathways from genome-sequenced microbes by targeting glycosyl groups in microbial metabolomes. Microbial GNPs consist of aglycone and glycosyl structure groups in which the sugar unit(s) are often critical for the GNP’s bioactivity, e.g., by promoting binding to a target biomolecule. GNPs are a structurally diverse class of molecules with important pharmaceutical and agrochemical applications. Herein, O- and N-glycosyl groups are characterized in their sugar monomers by tandem mass spectrometry (MS) and matched to corresponding glycosylation genes in secondary metabolic pathways by a MS-glycogenetic code. The associated aglycone biosynthetic genes of the GNP genotype then classify the natural product to further guide structure elucidation. We highlight the glycogenomic strategy by the characterization of several bioactive glycosylated molecules and their gene clusters, including the anticancer agent cinerubin B from Streptomyces sp. SPB74 and an antibiotic, arenimycin B, from Salinispora arenicola CNB-527. PMID:24191063

  16. Pep2Path: automated mass spectrometry-guided genome mining of peptidic natural products.

    PubMed

    Medema, Marnix H; Paalvast, Yared; Nguyen, Don D; Melnik, Alexey; Dorrestein, Pieter C; Takano, Eriko; Breitling, Rainer

    2014-09-01

    Nonribosomally and ribosomally synthesized bioactive peptides constitute a source of molecules of great biomedical importance, including antibiotics such as penicillin, immunosuppressants such as cyclosporine, and cytostatics such as bleomycin. Recently, an innovative mass-spectrometry-based strategy, peptidogenomics, has been pioneered to effectively mine microbial strains for novel peptidic metabolites. Even though mass-spectrometric peptide detection can be performed quite fast, true high-throughput natural product discovery approaches have still been limited by the inability to rapidly match the identified tandem mass spectra to the gene clusters responsible for the biosynthesis of the corresponding compounds. With Pep2Path, we introduce a software package to fully automate the peptidogenomics approach through the rapid Bayesian probabilistic matching of mass spectra to their corresponding biosynthetic gene clusters. Detailed benchmarking of the method shows that the approach is powerful enough to correctly identify gene clusters even in data sets that consist of hundreds of genomes, which also makes it possible to match compounds from unsequenced organisms to closely related biosynthetic gene clusters in other genomes. Applying Pep2Path to a data set of compounds without known biosynthesis routes, we were able to identify candidate gene clusters for the biosynthesis of five important compounds. Notably, one of these clusters was detected in a genome from a different subphylum of Proteobacteria than that in which the molecule had first been identified. All in all, our approach paves the way towards high-throughput discovery of novel peptidic natural products. Pep2Path is freely available from http://pep2path.sourceforge.net/, implemented in Python, licensed under the GNU General Public License v3 and supported on MS Windows, Linux and Mac OS X. PMID:25188327

  17. RiceGeneThresher: a web-based application for mining genes underlying QTL in rice genome.

    PubMed

    Thongjuea, Supat; Ruanjaichon, Vinitchan; Bruskiewich, Richard; Vanavichit, Apichart

    2009-01-01

    RiceGeneThresher is a public online resource for mining genes underlying genome regions of interest or quantitative trait loci (QTL) in rice genome. It is a compendium of rice genomic resources consisting of genetic markers, genome annotation, expressed sequence tags (ESTs), protein domains, gene ontology, plant stress-responsive genes, metabolic pathways and prediction of protein-protein interactions. RiceGeneThresher system integrates these diverse data sources and provides powerful web-based applications, and flexible tools for delivering customized set of biological data on rice. Its system supports whole-genome gene mining for QTL by querying using DNA marker intervals or genomic loci. RiceGeneThresher provides biologically supported evidences that are essential for targeting groups or networks of genes involved in controlling traits underlying QTL. Users can use it to discover and to assign the most promising candidate genes in preparation for the further gene function validation analysis. The web-based application is freely available at http://rice.kps.ku.ac.th. PMID:18820292

  18. A genome-wide MeSH-based literature mining system predicts implicit gene-to-gene relationships and networks

    PubMed Central

    2013-01-01

    Background The large amount of literature in the post-genomics era enables the study of gene interactions and networks using all available articles published for a specific organism. MeSH is a controlled vocabulary of medical and scientific terms that is used by biomedical scientists to manually index articles in the PubMed literature database. We hypothesized that genome-wide gene-MeSH term associations from the PubMed literature database could be used to predict implicit gene-to-gene relationships and networks. While the gene-MeSH associations have been used to detect gene-gene interactions in some studies, different methods have not been well compared, and such a strategy has not been evaluated for a genome-wide literature analysis. Genome-wide literature mining of gene-to-gene interactions allows ranking of the best gene interactions and investigation of comprehensive biological networks at a genome level. Results The genome-wide GenoMesh literature mining algorithm was developed by sequentially generating a gene-article matrix, a normalized gene-MeSH term matrix, and a gene-gene matrix. The gene-gene matrix relies on the calculation of pairwise gene dissimilarities based on gene-MeSH relationships. An optimized dissimilarity score was identified from six well-studied functions based on a receiver operating characteristic (ROC) analysis. Based on the studies with well-studied Escherichia coli and less-studied Brucella spp., GenoMesh was found to accurately identify gene functions using weighted MeSH terms, predict gene-gene interactions not reported in the literature, and cluster all the genes studied from an organism using the MeSH-based gene-gene matrix. A web-based GenoMesh literature mining program is also available at: http://genomesh.hegroup.org. GenoMesh also predicts gene interactions and networks among genes associated with specific MeSH terms or user-selected gene lists. Conclusions The GenoMesh algorithm and web program provide the first genome

  19. OntoMate: a text-mining tool aiding curation at the Rat Genome Database.

    PubMed

    Liu, Weisong; Laulederkind, Stanley J F; Hayman, G Thomas; Wang, Shur-Jen; Nigam, Rajni; Smith, Jennifer R; De Pons, Jeff; Dwinell, Melinda R; Shimoyama, Mary

    2015-01-01

    The Rat Genome Database (RGD) is the premier repository of rat genomic, genetic and physiologic data. Converting data from free text in the scientific literature to a structured format is one of the main tasks of all model organism databases. RGD spends considerable effort manually curating gene, Quantitative Trait Locus (QTL) and strain information. The rapidly growing volume of biomedical literature and the active research in the biological natural language processing (bioNLP) community have given RGD the impetus to adopt text-mining tools to improve curation efficiency. Recently, RGD has initiated a project to use OntoMate, an ontology-driven, concept-based literature search engine developed at RGD, as a replacement for the PubMed (http://www.ncbi.nlm.nih.gov/pubmed) search engine in the gene curation workflow. OntoMate tags abstracts with gene names, gene mutations, organism name and most of the 16 ontologies/vocabularies used at RGD. All terms/ entities tagged to an abstract are listed with the abstract in the search results. All listed terms are linked both to data entry boxes and a term browser in the curation tool. OntoMate also provides user-activated filters for species, date and other parameters relevant to the literature search. Using the system for literature search and import has streamlined the process compared to using PubMed. The system was built with a scalable and open architecture, including features specifically designed to accelerate the RGD gene curation process. With the use of bioNLP tools, RGD has added more automation to its curation workflow. Database URL: http://rgd.mcw.edu. PMID:25619558

  20. OntoMate: a text-mining tool aiding curation at the Rat Genome Database

    PubMed Central

    Liu, Weisong; Laulederkind, Stanley J. F.; Hayman, G. Thomas; Wang, Shur-Jen; Nigam, Rajni; Smith, Jennifer R.; De Pons, Jeff; Dwinell, Melinda R.; Shimoyama, Mary

    2015-01-01

    The Rat Genome Database (RGD) is the premier repository of rat genomic, genetic and physiologic data. Converting data from free text in the scientific literature to a structured format is one of the main tasks of all model organism databases. RGD spends considerable effort manually curating gene, Quantitative Trait Locus (QTL) and strain information. The rapidly growing volume of biomedical literature and the active research in the biological natural language processing (bioNLP) community have given RGD the impetus to adopt text-mining tools to improve curation efficiency. Recently, RGD has initiated a project to use OntoMate, an ontology-driven, concept-based literature search engine developed at RGD, as a replacement for the PubMed (http://www.ncbi.nlm.nih.gov/pubmed) search engine in the gene curation workflow. OntoMate tags abstracts with gene names, gene mutations, organism name and most of the 16 ontologies/vocabularies used at RGD. All terms/ entities tagged to an abstract are listed with the abstract in the search results. All listed terms are linked both to data entry boxes and a term browser in the curation tool. OntoMate also provides user-activated filters for species, date and other parameters relevant to the literature search. Using the system for literature search and import has streamlined the process compared to using PubMed. The system was built with a scalable and open architecture, including features specifically designed to accelerate the RGD gene curation process. With the use of bioNLP tools, RGD has added more automation to its curation workflow. Database URL: http://rgd.mcw.edu PMID:25619558

  1. Mining the genome of Rhodococcus fascians, a plant growth-promoting bacterium gone astray.

    PubMed

    Francis, Isolde M; Stes, Elisabeth; Zhang, Yucheng; Rangel, Diana; Audenaert, Kris; Vereecke, Danny

    2016-09-25

    Rhodococcus fascians is a phytopathogenic Gram-positive Actinomycete with a very broad host range encompassing especially dicotyledonous herbaceous perennials, but also some monocots, such as the Liliaceae and, recently, the woody crop pistachio. The pathogenicity of R. fascians strain D188 is known to be encoded by the linear plasmid pFiD188 and to be dictated by its capacity to produce a mixture of cytokinins. Here, we show that D188-5, the nonpathogenic plasmid-free derivative of the wild-type strain D188 actually has a plant growth-promoting effect. With the availability of the genome sequence of R. fascians, the chromosome of strain D188 was mined for putative plant growth-promoting functions and the functionality of some of these activities was tested. This analysis together with previous results suggests that the plant growth-promoting activity of R. fascians is due to production of plant growth modulators, such as auxin and cytokinin, combined with degradation of ethylene through 1-amino-cyclopropane-1-carboxylic acid deaminase. Moreover, R. fascians has several functions that could contribute to efficient colonization and competitiveness, but there is little evidence for a strong impact on plant nutrition. Possibly, the plant growth promotion encoded by the D188 chromosome is imperative for the epiphytic phase of the life cycle of R. fascians and prepares the plant to host the bacteria, thus ensuring proper continuation into the pathogenic phase. PMID:26877150

  2. Recent Advances in Discovery, Biosynthesis and Genome Mining of Medicinally Relevant Polycyclic Tetramate Macrolactams.

    PubMed

    Zhang, Guangtao; Zhang, Wenjun; Saha, Subhasish; Zhang, Changsheng

    2016-01-01

    Polycyclic tetramate macrolactams (PTMs), a widely distributed class of structurally complex natural products exhibiting diverse biological activities, share a tetramate-containing macrocyclic lactam ring fused to a subset of carbocyclic rings. More than 30 naturally occurring PTM members have been reported. Representative members include ikarugamycin, HSAF, and alteramides. The emerging significance of PTMs in medicinal applications has raised attentions on their biosynthetic studies. These studies have unveiled the unexpected conservation of compact PTM biosynthetic loci in phylogenetically diverse bacteria and elucidated mechanisms for key steps in PTM biosynthesis. PTMs were demonstrated to be derived from the common origin of a hybrid polyketide synthase (PKS)/nonribosomal peptide synthetase (NRPS) pathway, in which the PKS portion was iteratively used to generate two separate polyketide chains. A common tetramate-containing polyene intermediate was proposed to be the final product of all PTM PKS/NRPS assembly lines. Subsequently, a set of oxidoreductases acted in a not yet clearly understood way to dictate the manner of cyclizations to yield different polycycle ring systems in PTMs. The only well studied example was the formation of the inner fivemembered ring in ikarugamycin, which was catalyzed by an alcohol dehydrogenase via a [1 + 6] Michael addition. Nonetheless, these studies have illustrated the extraordinary simplicity of nature's art in the biosynthesis of PTMs with complex structures and paved the way to further expand the structural diversity of the family of medicinally relevant PTMs by genome mining and combinatorial biosynthesis. PMID:26456464

  3. Mining metagenomic whole genome sequences revealed subdominant but constant Lactobacillus population in the human gut microbiota.

    PubMed

    Rossi, Maddalena; Martínez-Martínez, Daniel; Amaretti, Alberto; Ulrici, Alessandro; Raimondi, Stefano; Moya, Andrés

    2016-06-01

    The genus Lactobacillus includes over 215 species that colonize plants, foods, sewage and the gastrointestinal tract (GIT) of humans and animals. In the GIT, Lactobacillus population can be made by true inhabitants or by bacteria occasionally ingested with fermented or spoiled foods, or with probiotics. This study longitudinally surveyed Lactobacillus species and strains in the feces of a healthy subject through whole genome sequencing (WGS) data-mining, in order to identify members of the permanent or transient populations. In three time-points (0, 670 and 700 d), 58 different species were identified, 16 of them being retrieved for the first time in human feces. L. rhamnosus, L. ruminis, L. delbrueckii, L. plantarum, L. casei and L. acidophilus were the most represented, with estimated amounts ranging between 6 and 8 Log (cells g(-1) ), while the other were detected at 4 or 5 Log (cells g(-1) ). 86 Lactobacillus strains belonging to 52 species were identified. 43 seemingly occupied the GIT as true residents, since were detected in a time span of almost 2 years in all the three samples or in 2 samples separated by 670 or 700 d. As a whole, a stable community of lactobacilli was disclosed, with wide and understudied biodiversity. PMID:27043715

  4. Mining the human genome after Association for Molecular Pathology v. Myriad Genetics

    PubMed Central

    Evans, Barbara J

    2014-01-01

    The Supreme Court's recent decision in Association for Molecular Pathology v. Myriad Genetics portrays the human genome as a product of nature. This frames medical genetics as an extractive industry that mines a natural resource to produce valuable goods and services. Natural resource law offers insights into problems medical geneticists can expect after this decision and suggests possible solutions. Increased competition among clinical laboratories offers various benefits but threatens to increase fragmentation of genetic data resources, potentially causing waste in the form of lost opportunities to discover the clinical significance of particular gene variants. The solution lies in addressing legal barriers to appropriate data sharing. Sustainable discovery in the field of medical genetics can best be achieved through voluntary data sharing rather than command-and-control tactics, but voluntary mechanisms must be conceived broadly to include market-based approaches as well as donative and publicly funded data commons. The recently revised Health Insurance Portability and Accountability Act Privacy Rule offers an improved—but still imperfect—framework for market-oriented data sharing. This article explores strategies for addressing the Privacy Rule's remaining defects. America is close to having a legal framework that can reward innovators, protect privacy, and promote needed data sharing to advance medical genetics. Genet Med 16 7, 504–509. PMID:24357850

  5. A Biophysical Model of CRISPR/Cas9 Activity for Rational Design of Genome Editing and Gene Regulation

    PubMed Central

    Farasat, Iman; Salis, Howard M.

    2016-01-01

    The ability to precisely modify genomes and regulate specific genes will greatly accelerate several medical and engineering applications. The CRISPR/Cas9 (Type II) system binds and cuts DNA using guide RNAs, though the variables that control its on-target and off-target activity remain poorly characterized. Here, we develop and parameterize a system-wide biophysical model of Cas9-based genome editing and gene regulation to predict how changing guide RNA sequences, DNA superhelical densities, Cas9 and crRNA expression levels, organisms and growth conditions, and experimental conditions collectively control the dynamics of dCas9-based binding and Cas9-based cleavage at all DNA sites with both canonical and non-canonical PAMs. We combine statistical thermodynamics and kinetics to model Cas9:crRNA complex formation, diffusion, site selection, reversible R-loop formation, and cleavage, using large amounts of structural, biochemical, expression, and next-generation sequencing data to determine kinetic parameters and develop free energy models. Our results identify DNA supercoiling as a novel mechanism controlling Cas9 binding. Using the model, we predict Cas9 off-target binding frequencies across the lambdaphage and human genomes, and explain why Cas9’s off-target activity can be so high. With this improved understanding, we propose several rules for designing experiments for minimizing off-target activity. We also discuss the implications for engineering dCas9-based genetic circuits. PMID:26824432

  6. A Biophysical Model of CRISPR/Cas9 Activity for Rational Design of Genome Editing and Gene Regulation.

    PubMed

    Farasat, Iman; Salis, Howard M

    2016-01-01

    The ability to precisely modify genomes and regulate specific genes will greatly accelerate several medical and engineering applications. The CRISPR/Cas9 (Type II) system binds and cuts DNA using guide RNAs, though the variables that control its on-target and off-target activity remain poorly characterized. Here, we develop and parameterize a system-wide biophysical model of Cas9-based genome editing and gene regulation to predict how changing guide RNA sequences, DNA superhelical densities, Cas9 and crRNA expression levels, organisms and growth conditions, and experimental conditions collectively control the dynamics of dCas9-based binding and Cas9-based cleavage at all DNA sites with both canonical and non-canonical PAMs. We combine statistical thermodynamics and kinetics to model Cas9:crRNA complex formation, diffusion, site selection, reversible R-loop formation, and cleavage, using large amounts of structural, biochemical, expression, and next-generation sequencing data to determine kinetic parameters and develop free energy models. Our results identify DNA supercoiling as a novel mechanism controlling Cas9 binding. Using the model, we predict Cas9 off-target binding frequencies across the lambdaphage and human genomes, and explain why Cas9's off-target activity can be so high. With this improved understanding, we propose several rules for designing experiments for minimizing off-target activity. We also discuss the implications for engineering dCas9-based genetic circuits. PMID:26824432

  7. Molecular Networking and Pattern-Based Genome Mining Improves discovery of biosynthetic gene clusters and their products from Salinispora species

    PubMed Central

    Duncan, Katherine R.; Crüsemann, Max; Lechner, Anna; Sarkar, Anindita; Li, Jie; Ziemert, Nadine; Wang, Mingxun; Bandeira, Nuno; Moore, Bradley S.; Dorrestein, Pieter C.; Jensen, Paul R.

    2015-01-01

    Summary Genome sequencing has revealed that bacteria contain many more biosynthetic gene clusters than predicted based on the number of secondary metabolites discovered to date. While this biosynthetic reservoir has fostered interest in new tools for natural product discovery, there remains a gap between gene cluster detection and compound discovery. Here we apply molecular networking and the new concept of pattern-based genome mining to 35 Salinispora strains including 30 for which draft genome sequences were either available or obtained for this study. The results provide a method to simultaneously compare large numbers of complex microbial extracts, which facilitated the identification of media components, known compounds and their derivatives, and new compounds that could be prioritized for structure elucidation. These efforts revealed considerable metabolite diversity and led to several molecular family-gene cluster pairings, of which the quinomycin-type depsipeptide retimycin A was characterized and linked to gene cluster NRPS40 using pattern-based bioinformatic approaches. PMID:25865308

  8. Draft Genome Sequence of Sinorhizobium meliloti CCNWSX0020, a Nitrogen-Fixing Symbiont with Copper Tolerance Capability Isolated from Lead-Zinc Mine Tailings

    PubMed Central

    Li, Zhefei; Ma, Zhanqiang; Hao, Xiuli

    2012-01-01

    Sinorhizobium meliloti CCNWSX0020 was isolated from Medicago lupulina plants growing in lead-zinc mine tailings, which can establish a symbiotic relationship with Medicago species. Also, the genome of this bacterium contains a number of protein-coding sequences related to metal tolerance. We anticipate that the genomic sequence provides valuable information to explore environmental bioremediation. PMID:22328762

  9. Draft Genome Sequence of the Mercury-Resistant Bacterium Acinetobacter idrijaensis Strain MII, Isolated from a Mine-Impacted Area, Idrija, Slovenia

    PubMed Central

    Caballero Pérez, Juan; Cruz Medina, Julio Alfonso; Molina Vera, Carlos; Salas Rosas, Luz María; Limpens Gutiérrez, Citlalli; García Salinas, Isaac; Hernández Ramírez, Miriam Rebeca; Soto Alonso, Gerardo; Cruz Hernández, Andrés; Saldaña Gutiérrez, Carlos; Romero Gómez, Sergio; Pastrana Martínez, Xóchitl; Álvarez Hidalgo, Erika; Gosar, Mateja; Dizdarevič, Tatjana

    2014-01-01

    We report here the first draft assembly for the genome of Acinetobacter idrijaensis strain MII, isolated from the Idrija mercury mine area (Slovenia). This strain shows a strikingly high tolerance to mercury, and the genome sequence shows genes involved in the mechanisms for heavy metal tolerance pathways and multidrug efflux pumps. PMID:25395645

  10. A web-based genomic sequence database for the Streptomycetaceae: a tool for systematics and genome mining

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The ARS Microbial Genome Sequence Database (http://199.133.98.43), a web-based database server, was established utilizing the BIGSdb (Bacterial Isolate Genomics Sequence Database) software package, developed at Oxford University, as a tool to manage multi-locus sequence data for the family Streptomy...

  11. Genome-wide mining, characterization, and development of microsatellite markers in Marsupenaeus japonicus by genome survey sequencing

    NASA Astrophysics Data System (ADS)

    Lu, Xia; Luan, Sheng; Kong, Jie; Hu, Longyang; Mao, Yong; Zhong, Shengping

    2015-12-01

    The kuruma prawn, Marsupenaeus japonicus, is one of the most cultivated and consumed species of shrimp. However, very few molecular genetic/genomic resources are publically available for it. Thus, the characterization and distribution of simple sequence repeats (SSRs) remains ambiguous and the use of SSR markers in genomic studies and marker-assisted selection is limited. The goal of this study is to characterize and develop genome-wide SSR markers in M. japonicus by genome survey sequencing for application in comparative genomics and breeding. A total of 326 945 perfect SSRs were identifi ed, among which dinucleotide repeats were the most frequent class (44.08%), followed by mononucleotides (29.67%), trinucleotides (18.96%), tetranucleotides (5.66%), hexanucleotides (1.07%), and pentanucleotides (0.56%). In total, 151 541 SSR loci primers were successfully designed. A subset of 30 SSR primer pairs were synthesized and tested in 42 individuals from a wild population, of which 27 loci (90.0%) were successfully amplifi ed with specifi c products and 24 (80.0%) were polymorphic. For the amplifi ed polymorphic loci, the alleles ranged from 5 to 17 (with an average of 9.63), and the average PIC value was 0.796. A total of 58 256 SSR-containing sequences had signifi cant Gene Ontology annotation; these are good functional molecular marker candidates for association studies and comparative genomic analysis. The newly identifi ed SSRs signifi cantly contribute to the M. japonicus genomic resources and will facilitate a number of genetic and genomic studies, including high density linkage mapping, genome-wide association analysis, marker-aided selection, comparative genomics analysis, population genetics, and evolution.

  12. Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia

    PubMed Central

    Covell, David G.

    2015-01-01

    Developing reliable biomarkers of tumor cell drug sensitivity and resistance can guide hypothesis-driven basic science research and influence pre-therapy clinical decisions. A popular strategy for developing biomarkers uses characterizations of human tumor samples against a range of cancer drug responses that correlate with genomic change; developed largely from the efforts of the Cancer Cell Line Encyclopedia (CCLE) and Sanger Cancer Genome Project (CGP). The purpose of this study is to provide an independent analysis of this data that aims to vet existing and add novel perspectives to biomarker discoveries and applications. Existing and alternative data mining and statistical methods will be used to a) evaluate drug responses of compounds with similar mechanism of action (MOA), b) examine measures of gene expression (GE), copy number (CN) and mutation status (MUT) biomarkers, combined with gene set enrichment analysis (GSEA), for hypothesizing biological processes important for drug response, c) conduct global comparisons of GE, CN and MUT as biomarkers across all drugs screened in the CGP dataset, and d) assess the positive predictive power of CGP-derived GE biomarkers as predictors of drug response in CCLE tumor cells. The perspectives derived from individual and global examinations of GEs, MUTs and CNs confirm existing and reveal unique and shared roles for these biomarkers in tumor cell drug sensitivity and resistance. Applications of CGP-derived genomic biomarkers to predict the drug response of CCLE tumor cells finds a highly significant ROC, with a positive predictive power of 0.78. The results of this study expand the available data mining and analysis methods for genomic biomarker development and provide additional support for using biomarkers to guide hypothesis-driven basic science research and pre-therapy clinical decisions. PMID:26132924

  13. Data Mining Approaches for Genomic Biomarker Development: Applications Using Drug Screening Data from the Cancer Genome Project and the Cancer Cell Line Encyclopedia.

    PubMed

    Covell, David G

    2015-01-01

    Developing reliable biomarkers of tumor cell drug sensitivity and resistance can guide hypothesis-driven basic science research and influence pre-therapy clinical decisions. A popular strategy for developing biomarkers uses characterizations of human tumor samples against a range of cancer drug responses that correlate with genomic change; developed largely from the efforts of the Cancer Cell Line Encyclopedia (CCLE) and Sanger Cancer Genome Project (CGP). The purpose of this study is to provide an independent analysis of this data that aims to vet existing and add novel perspectives to biomarker discoveries and applications. Existing and alternative data mining and statistical methods will be used to a) evaluate drug responses of compounds with similar mechanism of action (MOA), b) examine measures of gene expression (GE), copy number (CN) and mutation status (MUT) biomarkers, combined with gene set enrichment analysis (GSEA), for hypothesizing biological processes important for drug response, c) conduct global comparisons of GE, CN and MUT as biomarkers across all drugs screened in the CGP dataset, and d) assess the positive predictive power of CGP-derived GE biomarkers as predictors of drug response in CCLE tumor cells. The perspectives derived from individual and global examinations of GEs, MUTs and CNs confirm existing and reveal unique and shared roles for these biomarkers in tumor cell drug sensitivity and resistance. Applications of CGP-derived genomic biomarkers to predict the drug response of CCLE tumor cells finds a highly significant ROC, with a positive predictive power of 0.78. The results of this study expand the available data mining and analysis methods for genomic biomarker development and provide additional support for using biomarkers to guide hypothesis-driven basic science research and pre-therapy clinical decisions. PMID:26132924

  14. Isolation and structure determination of a new lantibiotic cinnamycin B from Actinomadura atramentaria based on genome mining.

    PubMed

    Kodani, Shinya; Komaki, Hisayuki; Ishimura, Sho; Hemmi, Hikaru; Ohnishi-Kameyama, Mayumi

    2016-08-01

    New lantibiotic cinnamycin B was isolated from the extract of Actinomadura atramentaria NBRC 14695(T), based on genome mining and chemical investigation. The partial structure of cinnamycin B was established by 2D NMR experiments, which indicated that cinnamycin B had same methyl lanthionine bridging pattern with cinnamycin. The reduction with NaBH4-NiCl2 afforded the reduced cinnamycin B, and MS/MS experiment indicated the presence of hydroxy asparatic acid in the molecule. Cinnamycin B showed an antibacterial activity against Streptomyces antibioticus with dosage of 5 μg (0.5μL, 10 mg/mL solution) at spot-on-lawn testing method. The gene cluster of cinnamycin B on the genome of A. atramentaria was identified and discussed in comparison with that of cinnamycin. PMID:27255974

  15. Brassica database (BRAD) version 2.0: integrating and mining Brassicaceae species genomic resources

    PubMed Central

    Wang, Xiaobo; Wu, Jian; Liang, Jianli; Cheng, Feng; Wang, Xiaowu

    2015-01-01

    The Brassica database (BRAD) was built initially to assist users apply Brassica rapa and Arabidopsis thaliana genomic data efficiently to their research. However, many Brassicaceae genomes have been sequenced and released after its construction. These genomes are rich resources for comparative genomics, gene annotation and functional evolutionary studies of Brassica crops. Therefore, we have updated BRAD to version 2.0 (V2.0). In BRAD V2.0, 11 more Brassicaceae genomes have been integrated into the database, namely those of Arabidopsis lyrata, Aethionema arabicum, Brassica oleracea, Brassica napus, Camelina sativa, Capsella rubella, Leavenworthia alabamica, Sisymbrium irio and three extremophiles Schrenkiella parvula, Thellungiella halophila and Thellungiella salsuginea. BRAD V2.0 provides plots of syntenic genomic fragments between pairs of Brassicaceae species, from the level of chromosomes to genomic blocks. The Generic Synteny Browser (GBrowse_syn), a module of the Genome Browser (GBrowse), is used to show syntenic relationships between multiple genomes. Search functions for retrieving syntenic and non-syntenic orthologs, as well as their annotation and sequences are also provided. Furthermore, genome and annotation information have been imported into GBrowse so that all functional elements can be visualized in one frame. We plan to continually update BRAD by integrating more Brassicaceae genomes into the database. Database URL: http://brassicadb.org/brad/ PMID:26589635

  16. Brassica database (BRAD) version 2.0: integrating and mining Brassicaceae species genomic resources.

    PubMed

    Wang, Xiaobo; Wu, Jian; Liang, Jianli; Cheng, Feng; Wang, Xiaowu

    2015-01-01

    The Brassica database (BRAD) was built initially to assist users apply Brassica rapa and Arabidopsis thaliana genomic data efficiently to their research. However, many Brassicaceae genomes have been sequenced and released after its construction. These genomes are rich resources for comparative genomics, gene annotation and functional evolutionary studies of Brassica crops. Therefore, we have updated BRAD to version 2.0 (V2.0). In BRAD V2.0, 11 more Brassicaceae genomes have been integrated into the database, namely those of Arabidopsis lyrata, Aethionema arabicum, Brassica oleracea, Brassica napus, Camelina sativa, Capsella rubella, Leavenworthia alabamica, Sisymbrium irio and three extremophiles Schrenkiella parvula, Thellungiella halophila and Thellungiella salsuginea. BRAD V2.0 provides plots of syntenic genomic fragments between pairs of Brassicaceae species, from the level of chromosomes to genomic blocks. The Generic Synteny Browser (GBrowse_syn), a module of the Genome Browser (GBrowse), is used to show syntenic relationships between multiple genomes. Search functions for retrieving syntenic and non-syntenic orthologs, as well as their annotation and sequences are also provided. Furthermore, genome and annotation information have been imported into GBrowse so that all functional elements can be visualized in one frame. We plan to continually update BRAD by integrating more Brassicaceae genomes into the database. Database URL: http://brassicadb.org/brad/. PMID:26589635

  17. Confucian Rationalism

    ERIC Educational Resources Information Center

    Lam, Chi-Ming

    2014-01-01

    Nowadays, there is still a widely held view that the Chinese and Western modes of thought are quite distinct from each other. In particular, the Chinese mode of thought derived from Confucianism is considered as comparatively less rational than the Western one. In this article, I first argue that although the analogical mode of argumentation,…

  18. Isolation and Identification of Rhizoxin Derivatives from Pseudomonas fluorescens Pf-5 using a Genomic Mining Strategy

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The products synthesized from a hybrid polyketide synthase/nonribosomal peptide synthetase gene cluster in the genome of Pseudomonas fluorescens Pf-5 were identified using a genomics-guided strategy involving insertional mutagenesis and subsequent metabolite profiling. Five analogs of rhizoxin, a 1...

  19. Discovery of phosphonic acid natural products by mining the genomes of 10,000 actinomycetes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Although natural products have been a particularly rich source of human medicines, the rate at which new molecules are being discovered is declining precipitously. Based on the large number of natural product biosynthetic genes in microbial genomes, many have suggested “genome mining” as an approach...

  20. Genome mining reveals the genus Xanthomonas to be a promising reservoir for new bioactive non-ribosomally synthesized peptides

    PubMed Central

    2013-01-01

    Background Various bacteria can use non-ribosomal peptide synthesis (NRPS) to produce peptides or other small molecules. Conserved features within the NRPS machinery allow the type, and sometimes even the structure, of the synthesized polypeptide to be predicted. Thus, bacterial genome mining via in silico analyses of NRPS genes offers an attractive opportunity to uncover new bioactive non-ribosomally synthesized peptides. Xanthomonas is a large genus of Gram-negative bacteria that cause disease in hundreds of plant species. To date, the only known small molecule synthesized by NRPS in this genus is albicidin produced by Xanthomonas albilineans. This study aims to estimate the biosynthetic potential of Xanthomonas spp. by in silico analyses of NRPS genes with unknown function recently identified in the sequenced genomes of X. albilineans and related species of Xanthomonas. Results We performed in silico analyses of NRPS genes present in all published genome sequences of Xanthomonas spp., as well as in unpublished draft genome sequences of Xanthomonas oryzae pv. oryzae strain BAI3 and Xanthomonas spp. strain XaS3. These two latter strains, together with X. albilineans strain GPE PC73 and X. oryzae pv. oryzae strains X8-1A and X11-5A, possess novel NRPS gene clusters and share related NRPS-associated genes such as those required for the biosynthesis of non-proteinogenic amino acids or the secretion of peptides. In silico prediction of peptide structures according to NRPS architecture suggests eight different peptides, each specific to its producing strain. Interestingly, these eight peptides cannot be assigned to any known gene cluster or related to known compounds from natural product databases. PCR screening of a collection of 94 plant pathogenic bacteria indicates that these novel NRPS gene clusters are specific to the genus Xanthomonas and are also present in Xanthomonas translucens and X. oryzae pv. oryzicola. Further genome mining revealed other novel NRPS

  1. CisMiner: Genome-Wide In-Silico Cis-Regulatory Module Prediction by Fuzzy Itemset Mining

    PubMed Central

    Navarro, Carmen; Lopez, Francisco J.; Cano, Carlos; Garcia-Alcalde, Fernando; Blanco, Armando

    2014-01-01

    Eukaryotic gene control regions are known to be spread throughout non-coding DNA sequences which may appear distant from the gene promoter. Transcription factors are proteins that coordinately bind to these regions at transcription factor binding sites to regulate gene expression. Several tools allow to detect significant co-occurrences of closely located binding sites (cis-regulatory modules, CRMs). However, these tools present at least one of the following limitations: 1) scope limited to promoter or conserved regions of the genome; 2) do not allow to identify combinations involving more than two motifs; 3) require prior information about target motifs. In this work we present CisMiner, a novel methodology to detect putative CRMs by means of a fuzzy itemset mining approach able to operate at genome-wide scale. CisMiner allows to perform a blind search of CRMs without any prior information about target CRMs nor limitation in the number of motifs. CisMiner tackles the combinatorial complexity of genome-wide cis-regulatory module extraction using a natural representation of motif combinations as itemsets and applying the Top-Down Fuzzy Frequent- Pattern Tree algorithm to identify significant itemsets. Fuzzy technology allows CisMiner to better handle the imprecision and noise inherent to regulatory processes. Results obtained for a set of well-known binding sites in the S. cerevisiae genome show that our method yields highly reliable predictions. Furthermore, CisMiner was also applied to putative in-silico predicted transcription factor binding sites to identify significant combinations in S. cerevisiae and D. melanogaster, proving that our approach can be further applied genome-wide to more complex genomes. CisMiner is freely accesible at: http://genome2.ugr.es/cisminer. CisMiner can be queried for the results presented in this work and can also perform a customized cis-regulatory module prediction on a query set of transcription factor binding sites provided by

  2. Draft Genome Sequence of “Acidibacillus ferrooxidans” ITV01, a Novel Acidophilic Firmicute Isolated from a Chalcopyrite Mine Drainage Site in Brazil

    PubMed Central

    Dall’Agnol, Hivana; Ñancucheo, Ivan; Johnson, D. Barrie; Oliveira, Renato; Leite, Laura; Holanda, Roseanne; Grail, Barry; Carvalho, Nelson; Nunes, Gisele Lopes; Tzotzos, George; Fernandes, Gabriel Rocha; Dutra, Julliane; Orellana, Sara Cuadros

    2016-01-01

    Here, we report the draft genome sequence of “Acidibacillus ferrooxidans” strain ITV01, a ferrous iron- and sulfide-mineral-oxidizing, obligate heterotrophic, and acidophilic bacterium affiliated with the phylum Firmicutes. Strain ITV01 was isolated from neutral drainage from a low-grade chalcopyrite from a mine in northern Brazil. PMID:26988062

  3. Draft Genome Sequence of "Acidibacillus ferrooxidans" ITV01, a Novel Acidophilic Firmicute Isolated from a Chalcopyrite Mine Drainage Site in Brazil.

    PubMed

    Dall'Agnol, Hivana; Ñancucheo, Ivan; Johnson, D Barrie; Oliveira, Renato; Leite, Laura; Pylro, Victor S; Holanda, Roseanne; Grail, Barry; Carvalho, Nelson; Nunes, Gisele Lopes; Tzotzos, George; Fernandes, Gabriel Rocha; Dutra, Julliane; Orellana, Sara Cuadros; Oliveira, Guilherme

    2016-01-01

    Here, we report the draft genome sequence of "Acidibacillus ferrooxidans" strain ITV01, a ferrous iron- and sulfide-mineral-oxidizing, obligate heterotrophic, and acidophilic bacterium affiliated with the phylum Firmicutes. Strain ITV01 was isolated from neutral drainage from a low-grade chalcopyrite from a mine in northern Brazil. PMID:26988062

  4. Mining 3D genome structure populations identifies major factors governing the stability of regulatory communities

    PubMed Central

    Dai, Chao; Li, Wenyuan; Tjong, Harianto; Hao, Shengli; Zhou, Yonggang; Li, Qingjiao; Chen, Lin; Zhu, Bing; Alber, Frank; Jasmine Zhou, Xianghong

    2016-01-01

    Three-dimensional (3D) genome structures vary from cell to cell even in an isogenic sample. Unlike protein structures, genome structures are highly plastic, posing a significant challenge for structure-function mapping. Here we report an approach to comprehensively identify 3D chromatin clusters that each occurs frequently across a population of genome structures, either deconvoluted from ensemble-averaged Hi-C data or from a collection of single-cell Hi-C data. Applying our method to a population of genome structures (at the macrodomain resolution) of lymphoblastoid cells, we identify an atlas of stable inter-chromosomal chromatin clusters. A large number of these clusters are enriched in binding of specific regulatory factors and are therefore defined as ‘Regulatory Communities.' We reveal two major factors, centromere clustering and transcription factor binding, which significantly stabilize such communities. Finally, we show that the regulatory communities differ substantially from cell to cell, indicating that expression variability could be impacted by genome structures. PMID:27240697

  5. Rationalization: A Bibliography.

    ERIC Educational Resources Information Center

    Pedrini, D. T.; Pedrini, Bonnie C.

    Rationalization was studied by Sigmund Freud and was specifically labeled by Ernest Jones. Rationalization ought to be differentiated from rational, rationality, logical analysis, etc. On the one hand, rationalization is considered a defense mechanism, on the other hand, rationality is not. Haan has done much work with self-report inventories and…

  6. Identification of candidate genes in Populus cell wall biosynthesis using text-mining, co-expression network and comparative genomics

    SciTech Connect

    Yang, Xiaohan; Ye, Chuyu; Bisaria, Anjali; Tuskan, Gerald A; Kalluri, Udaya C

    2011-01-01

    Populus is an important bioenergy crop for bioethanol production. A greater understanding of cell wall biosynthesis processes is critical in reducing biomass recalcitrance, a major hindrance in efficient generation of ethanol from lignocellulosic biomass. Here, we report the identification of candidate cell wall biosynthesis genes through the development and application of a novel bioinformatics pipeline. As a first step, via text-mining of PubMed publications, we obtained 121 Arabidopsis genes that had the experimental evidences supporting their involvement in cell wall biosynthesis or remodeling. The 121 genes were then used as bait genes to query an Arabidopsis co-expression database and additional genes were identified as neighbors of the bait genes in the network, increasing the number of genes to 548. The 548 Arabidopsis genes were then used to re-query the Arabidopsis co-expression database and re-construct a network that captured additional network neighbors, expanding to a total of 694 genes. The 694 Arabidopsis genes were computationally divided into 22 clusters. Queries of the Populus genome using the Arabidopsis genes revealed 817 Populus orthologs. Functional analysis of gene ontology and tissue-specific gene expression indicated that these Arabidopsis and Populus genes are high likelihood candidates for functional genomics in relation to cell wall biosynthesis.

  7. antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters.

    PubMed

    Weber, Tilmann; Blin, Kai; Duddela, Srikanth; Krug, Daniel; Kim, Hyun Uk; Bruccoleri, Robert; Lee, Sang Yup; Fischbach, Michael A; Müller, Rolf; Wohlleben, Wolfgang; Breitling, Rainer; Takano, Eriko; Medema, Marnix H

    2015-07-01

    Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and stand-alone tool for the automatic genomic identification and analysis of biosynthetic gene clusters, available at http://antismash.secondarymetabolites.org. Here, we present version 3.0 of antiSMASH, which has undergone major improvements. A full integration of the recently published ClusterFinder algorithm now allows using this probabilistic algorithm to detect putative gene clusters of unknown types. Also, a new dereplication variant of the ClusterBlast module now identifies similarities of identified clusters to any of 1172 clusters with known end products. At the enzyme level, active sites of key biosynthetic enzymes are now pinpointed through a curated pattern-matching procedure and Enzyme Commission numbers are assigned to functionally classify all enzyme-coding genes. Additionally, chemical structure prediction has been improved by incorporating polyketide reduction states. Finally, in order for users to be able to organize and analyze multiple antiSMASH outputs in a private setting, a new XML output module allows offline editing of antiSMASH annotations within the Geneious software. PMID:25948579

  8. Genomic analyses of metal resistance genes in three plant growth promoting bacteria of legume plants in Northwest mine tailings, China.

    PubMed

    Xie, Pin; Hao, Xiuli; Herzberg, Martin; Luo, Yantao; Nies, Dietrich H; Wei, Gehong

    2015-01-01

    To better understand the diversity of metal resistance genetic determinant from microbes that survived at metal tailings in northwest of China, a highly elevated level of heavy metal containing region, genomic analyses was conducted using genome sequence of three native metal-resistant plant growth promoting bacteria (PGPB). It shows that: Mesorhizobium amorphae CCNWGS0123 contains metal transporters from P-type ATPase, CDF (Cation Diffusion Facilitator), HupE/UreJ and CHR (chromate ion transporter) family involved in copper, zinc, nickel as well as chromate resistance and homeostasis. Meanwhile, the putative CopA/CueO system is expected to mediate copper resistance in Sinorhizobium meliloti CCNWSX0020 while ZntA transporter, assisted with putative CzcD, determines zinc tolerance in Agrobacterium tumefaciens CCNWGS0286. The greenhouse experiment provides the consistent evidence of the plant growth promoting effects of these microbes on their hosts by nitrogen fixation and/or indoleacetic acid (IAA) secretion, indicating a potential in-site phytoremediation usage in the mining tailing regions of China. PMID:25597676

  9. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

    PubMed Central

    Weber, Tilmann; Blin, Kai; Duddela, Srikanth; Krug, Daniel; Kim, Hyun Uk; Bruccoleri, Robert; Lee, Sang Yup; Fischbach, Michael A.; Müller, Rolf; Wohlleben, Wolfgang; Breitling, Rainer; Takano, Eriko; Medema, Marnix H.

    2015-01-01

    Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and stand-alone tool for the automatic genomic identification and analysis of biosynthetic gene clusters, available at http://antismash.secondarymetabolites.org. Here, we present version 3.0 of antiSMASH, which has undergone major improvements. A full integration of the recently published ClusterFinder algorithm now allows using this probabilistic algorithm to detect putative gene clusters of unknown types. Also, a new dereplication variant of the ClusterBlast module now identifies similarities of identified clusters to any of 1172 clusters with known end products. At the enzyme level, active sites of key biosynthetic enzymes are now pinpointed through a curated pattern-matching procedure and Enzyme Commission numbers are assigned to functionally classify all enzyme-coding genes. Additionally, chemical structure prediction has been improved by incorporating polyketide reduction states. Finally, in order for users to be able to organize and analyze multiple antiSMASH outputs in a private setting, a new XML output module allows offline editing of antiSMASH annotations within the Geneious software. PMID:25948579

  10. antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers

    PubMed Central

    Blin, Kai; Medema, Marnix H.; Kazempour, Daniyal; Fischbach, Michael A.; Breitling, Rainer; Takano, Eriko; Weber, Tilmann

    2013-01-01

    Microbial secondary metabolites are a potent source of antibiotics and other pharmaceuticals. Genome mining of their biosynthetic gene clusters has become a key method to accelerate their identification and characterization. In 2011, we developed antiSMASH, a web-based analysis platform that automates this process. Here, we present the highly improved antiSMASH 2.0 release, available at http://antismash.secondarymetabolites.org/. For the new version, antiSMASH was entirely re-designed using a plug-and-play concept that allows easy integration of novel predictor or output modules. antiSMASH 2.0 now supports input of multiple related sequences simultaneously (multi-FASTA/GenBank/EMBL), which allows the analysis of draft genomes comprising multiple contigs. Moreover, direct analysis of protein sequences is now possible. antiSMASH 2.0 has also been equipped with the capacity to detect additional classes of secondary metabolites, including oligosaccharide antibiotics, phenazines, thiopeptides, homo-serine lactones, phosphonates and furans. The algorithm for predicting the core structure of the cluster end product is now also covering lantipeptides, in addition to polyketides and non-ribosomal peptides. The antiSMASH ClusterBlast functionality has been extended to identify sub-clusters involved in the biosynthesis of specific chemical building blocks. The new features currently make antiSMASH 2.0 the most comprehensive resource for identifying and analyzing novel secondary metabolite biosynthetic pathways in microorganisms. PMID:23737449

  11. Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.

    PubMed

    König, Inke R; Auerbach, Jonathan; Gola, Damian; Held, Elizabeth; Holzinger, Emily R; Legault, Marc-André; Sun, Rui; Tintle, Nathan; Yang, Hsin-Chou

    2016-01-01

    In the analysis of current genomic data, application of machine learning and data mining techniques has become more attractive given the rising complexity of the projects. As part of the Genetic Analysis Workshop 19, approaches from this domain were explored, mostly motivated from two starting points. First, assuming an underlying structure in the genomic data, data mining might identify this and thus improve downstream association analyses. Second, computational methods for machine learning need to be developed further to efficiently deal with the current wealth of data.In the course of discussing results and experiences from the machine learning and data mining approaches, six common messages were extracted. These depict the current state of these approaches in the application to complex genomic data. Although some challenges remain for future studies, important forward steps were taken in the integration of different data types and the evaluation of the evidence. Mining the data for underlying genetic or phenotypic structure and using this information in subsequent analyses proved to be extremely helpful and is likely to become of even greater use with more complex data sets. PMID:26866367

  12. Comparative genomics in acid mine drainage biofilm communities reveals metabolic and structural differentiation of co-occurring archaea

    PubMed Central

    2013-01-01

    Background Metal sulfide mineral dissolution during bioleaching and acid mine drainage (AMD) formation creates an environment that is inhospitable to most life. Despite dominance by a small number of bacteria, AMD microbial biofilm communities contain a notable variety of coexisting and closely related Euryarchaea, most of which have defied cultivation efforts. For this reason, we used metagenomics to analyze variation in gene content that may contribute to niche differentiation among co-occurring AMD archaea. Our analyses targeted members of the Thermoplasmatales and related archaea. These results greatly expand genomic information available for this archaeal order. Results We reconstructed near-complete genomes for uncultivated, relatively low abundance organisms A-, E-, and Gplasma, members of Thermoplasmatales order, and for a novel organism, Iplasma. Genomic analyses of these organisms, as well as Ferroplasma type I and II, reveal that all are facultative aerobic heterotrophs with the ability to use many of the same carbon substrates, including methanol. Most of the genomes share genes for toxic metal resistance and surface-layer production. Only Aplasma and Eplasma have a full suite of flagellar genes whereas all but the Ferroplasma spp. have genes for pili production. Cryogenic-electron microscopy (cryo-EM) and tomography (cryo-ET) strengthen these metagenomics-based ultrastructural predictions. Notably, only Aplasma, Gplasma and the Ferroplasma spp. have predicted iron oxidation genes and Eplasma and Iplasma lack most genes for cobalamin, valine, (iso)leucine and histidine synthesis. Conclusion The Thermoplasmatales AMD archaea share a large number of metabolic capabilities. All of the uncultivated organisms studied here (A-, E-, G-, and Iplasma) are metabolically very similar to characterized Ferroplasma spp., differentiating themselves mainly in their genetic capabilities for biosynthesis, motility, and possibly iron oxidation. These results indicate that

  13. Mining the Plasmodium genome database to define organellar function: what does the apicoplast do?

    PubMed Central

    Roos, David S; Crawford, Michael J; Donald, Robert G K; Fraunholz, Martin; Harb, Omar S; He, Cynthia Y; Kissinger, Jessica C; Shaw, Michael K; Striepen, Boris

    2002-01-01

    Apicomplexan species constitute a diverse group of parasitic protozoa, which are responsible for a wide range of diseases in many organisms. Despite differences in the diseases they cause, these parasites share an underlying biology, from the genetic controls used to differentiate through the complex parasite life cycle, to the basic biochemical pathways employed for intracellular survival, to the distinctive cell biology necessary for host cell attachment and invasion. Different parasites lend themselves to the study of different aspects of parasite biology: Eimeria for biochemical studies, Toxoplasma for molecular genetic and cell biological investigation, etc. The Plasmodium falciparum Genome Project contributes the first large-scale genomic sequence for an apicomplexan parasite. The Plasmodium Genome Database (http://PlasmoDB.org) has been designed to permit individual investigators to ask their own questions, even prior to formal release of the reference P. falciparum genome sequence. As a case in point, PlasmoDB has been exploited to identify metabolic pathways associated with the apicomplexan plastid, or 'apicoplast' - an essential organelle derived by secondary endosymbiosis of an alga, and retention of the algal plastid. PMID:11839180

  14. Genomic insights into a new acidophilic, copper-resistant Desulfosporosinus isolate from the oxidized tailings area of an abandoned gold mine.

    PubMed

    Mardanov, Andrey V; Panova, Inna A; Beletsky, Alexey V; Avakyan, Marat R; Kadnikov, Vitaly V; Antsiferov, Dmitry V; Banks, David; Frank, Yulia A; Pimenov, Nikolay V; Ravin, Nikolai V; Karnachuk, Olga V

    2016-08-01

    Microbial sulfate reduction in acid mine drainage is still considered to be confined to anoxic conditions, although several reports have shown that sulfate-reducing bacteria occur under microaerophilic or aerobic conditions. We have measured sulfate reduction rates of up to 60 nmol S cm(-3) day(-1) in oxidized layers of gold mine tailings in Kuzbass (SW Siberia). A novel, acidophilic, copper-tolerant Desulfosporosinus sp. I2 was isolated from the same sample and its genome was sequenced. The genomic analysis and physiological data indicate the involvement of transporters and additional mechanisms to tolerate metals, such as sequestration by polyphosphates. Desulfosporinus sp. I2 encodes systems for a metabolically versatile life style. The genome possessed a complete Embden-Meyerhof pathway for glycolysis and gluconeogenesis. Complete oxidation of organic substrates could be enabled by the complete TCA cycle. Genomic analysis found all major components of the electron transfer chain necessary for energy generation via oxidative phosphorylation. Autotrophic CO2 fixation could be performed through the Wood-Ljungdahl pathway. Multiple oxygen detoxification systems were identified in the genome. Taking into account the metabolic activity and genomic analysis, the traits of the novel isolate broaden our understanding of active sulfate reduction and associated metabolism beyond strictly anaerobic niches. PMID:27222219

  15. Novel Tn4371-ICE like element in Ralstonia pickettii and Genome mining for comparative elements

    PubMed Central

    2009-01-01

    Background Integrative Conjugative Elements (ICEs) are important factors in the plasticity of microbial genomes. An element related to the ICE Tn4371 was discovered during a bioinformatic search of the Ralstonia pickettii 12J genome. This element was analysed and further searches carried out for additional elements. A PCR method was designed to detect and characterise new elements of this type based on this scaffold and a culture collection of fifty-eight Ralstonia pickettii and Ralstonia insidiosa strains were analysed for the presence of the element. Results Comparative sequence analysis of bacterial genomes has revealed the presence of a number of uncharacterised Tn4371-like ICEs in the genomes of several β and γ- Proteobacteria. These elements vary in size, GC content, putative function and have a mosaic-like structure of plasmid- and phage-like sequences which is typical of Tn4371-like ICEs. These elements were found after a through search of the GenBank database. The elements, which are found in Ralstonia, Delftia, Acidovorax, Bordetella, Comamonas, Acidovorax, Congregibacter, Shewanella, Pseudomonas Stenotrophomonas, Thioalkalivibrio sp. HL-EbGR7, Polaromonas, Burkholderia and Diaphorobacter sp. share a common scaffold. A PCR method was designed (based on the Tn4371- like element detected in the Ralstonia pickettii 12J genome) to detect and characterise new elements of this type. Conclusion All elements found in this study possess a common scaffold of core genes but contain different accessory genes. A new uniform nomenclature is suggested for ICEs of the Tn4371 family. Two novel Tn4371-like ICE were discovered and characterised, using the novel PCR method described in two different isolates of Ralstonia pickettii from laboratory purified water. PMID:19941653

  16. Mining clinical attributes of genomic variants through assisted literature curation in Egas.

    PubMed

    Matos, Sérgio; Campos, David; Pinho, Renato; Silva, Raquel M; Mort, Matthew; Cooper, David N; Oliveira, José Luís

    2016-01-01

    The veritable deluge of biological data over recent years has led to the establishment of a considerable number of knowledge resources that compile curated information extracted from the literature and store it in structured form, facilitating its use and exploitation. In this article, we focus on the curation of inherited genetic variants and associated clinical attributes, such as zygosity, penetrance or inheritance mode, and describe the use of Egas for this task. Egas is a web-based platform for text-mining assisted literature curation that focuses on usability through modern design solutions and simple user interactions. Egas offers a flexible and customizable tool that allows defining the concept types and relations of interest for a given annotation task, as well as the ontologies used for normalizing each concept type. Further, annotations may be performed on raw documents or on the results of automated concept identification and relation extraction tools. Users can inspect, correct or remove automatic text-mining results, manually add new annotations, and export the results to standard formats. Egas is compatible with the most recent versions of Google Chrome, Mozilla Firefox, Internet Explorer and Safari and is available for use at https://demo.bmd-software.com/egas/Database URL: https://demo.bmd-software.com/egas/. PMID:27278817

  17. Mining clinical attributes of genomic variants through assisted literature curation in Egas

    PubMed Central

    Matos, Sérgio; Campos, David; Pinho, Renato; Silva, Raquel M.; Mort, Matthew; Cooper, David N.; Oliveira, José Luís

    2016-01-01

    The veritable deluge of biological data over recent years has led to the establishment of a considerable number of knowledge resources that compile curated information extracted from the literature and store it in structured form, facilitating its use and exploitation. In this article, we focus on the curation of inherited genetic variants and associated clinical attributes, such as zygosity, penetrance or inheritance mode, and describe the use of Egas for this task. Egas is a web-based platform for text-mining assisted literature curation that focuses on usability through modern design solutions and simple user interactions. Egas offers a flexible and customizable tool that allows defining the concept types and relations of interest for a given annotation task, as well as the ontologies used for normalizing each concept type. Further, annotations may be performed on raw documents or on the results of automated concept identification and relation extraction tools. Users can inspect, correct or remove automatic text-mining results, manually add new annotations, and export the results to standard formats. Egas is compatible with the most recent versions of Google Chrome, Mozilla Firefox, Internet Explorer and Safari and is available for use at https://demo.bmd-software.com/egas/. Database URL: https://demo.bmd-software.com/egas/ PMID:27278817

  18. Banking biological collections: data warehousing, data mining, and data dilemmas in genomics and global health policy.

    PubMed

    Blatt, R J R

    2000-01-01

    While DNA databases may offer the opportunity to (1) assess population-based prevalence of specific genes and variants, (2) simplify the search for molecular markers, (3) improve targeted drug discovery and development for disease management, (4) refine strategies for disease prevention, and (5) provide the data necessary for evidence-based decision-making, serious scientific and social questions remain. Whether samples are identified, coded, or anonymous, biological banking raises profound ethical and legal issues pertaining to access, informed consent, privacy and confidentiality of genomic information, civil liberties, patenting, and proprietary rights. This paper provides an overview of key policy issues and questions pertaining to biological banking, with a focus on developments in specimen collection, transnational distribution, and public health and academic-industry research alliances. It highlights the challenges posed by the commercialization of genomics, and proposes the need for harmonization of biological banking policies. PMID:11878344

  19. Nuclear Species-Diagnostic SNP Markers Mined from 454 Amplicon Sequencing Reveal Admixture Genomic Structure of Modern Citrus Varieties

    PubMed Central

    Curk, Franck; Ancillo, Gema; Ollitrault, Frédérique; Perrier, Xavier; Jacquemoud-Collet, Jean-Pierre; Garcia-Lor, Andres; Navarro, Luis; Ollitrault, Patrick

    2015-01-01

    Most cultivated Citrus species originated from interspecific hybridisation between four ancestral taxa (C. reticulata, C. maxima, C. medica, and C. micrantha) with limited further interspecific recombination due to vegetative propagation. This evolution resulted in admixture genomes with frequent interspecific heterozygosity. Moreover, a major part of the phenotypic diversity of edible citrus results from the initial differentiation between these taxa. Deciphering the phylogenomic structure of citrus germplasm is therefore essential for an efficient utilization of citrus biodiversity in breeding schemes. The objective of this work was to develop a set of species-diagnostic single nucleotide polymorphism (SNP) markers for the four Citrus ancestral taxa covering the nine chromosomes, and to use these markers to infer the phylogenomic structure of secondary species and modern cultivars. Species-diagnostic SNPs were mined from 454 amplicon sequencing of 57 gene fragments from 26 genotypes of the four basic taxa. Of the 1,053 SNPs mined from 28,507 kb sequence, 273 were found to be highly diagnostic for a single basic taxon. Species-diagnostic SNP markers (105) were used to analyse the admixture structure of varieties and rootstocks. This revealed C. maxima introgressions in most of the old and in all recent selections of mandarins, and suggested that C. reticulata × C. maxima reticulation and introgression processes were important in edible mandarin domestication. The large range of phylogenomic constitutions between C. reticulata and C. maxima revealed in mandarins, tangelos, tangors, sweet oranges, sour oranges, grapefruits, and orangelos is favourable for genetic association studies based on phylogenomic structures of the germplasm. Inferred admixture structures were in agreement with previous hypotheses regarding the origin of several secondary species and also revealed the probable origin of several acid citrus varieties. The developed species-diagnostic SNP

  20. Nuclear species-diagnostic SNP markers mined from 454 amplicon sequencing reveal admixture genomic structure of modern citrus varieties.

    PubMed

    Curk, Franck; Ancillo, Gema; Ollitrault, Frédérique; Perrier, Xavier; Jacquemoud-Collet, Jean-Pierre; Garcia-Lor, Andres; Navarro, Luis; Ollitrault, Patrick

    2015-01-01

    Most cultivated Citrus species originated from interspecific hybridisation between four ancestral taxa (C. reticulata, C. maxima, C. medica, and C. micrantha) with limited further interspecific recombination due to vegetative propagation. This evolution resulted in admixture genomes with frequent interspecific heterozygosity. Moreover, a major part of the phenotypic diversity of edible citrus results from the initial differentiation between these taxa. Deciphering the phylogenomic structure of citrus germplasm is therefore essential for an efficient utilization of citrus biodiversity in breeding schemes. The objective of this work was to develop a set of species-diagnostic single nucleotide polymorphism (SNP) markers for the four Citrus ancestral taxa covering the nine chromosomes, and to use these markers to infer the phylogenomic structure of secondary species and modern cultivars. Species-diagnostic SNPs were mined from 454 amplicon sequencing of 57 gene fragments from 26 genotypes of the four basic taxa. Of the 1,053 SNPs mined from 28,507 kb sequence, 273 were found to be highly diagnostic for a single basic taxon. Species-diagnostic SNP markers (105) were used to analyse the admixture structure of varieties and rootstocks. This revealed C. maxima introgressions in most of the old and in all recent selections of mandarins, and suggested that C. reticulata × C. maxima reticulation and introgression processes were important in edible mandarin domestication. The large range of phylogenomic constitutions between C. reticulata and C. maxima revealed in mandarins, tangelos, tangors, sweet oranges, sour oranges, grapefruits, and orangelos is favourable for genetic association studies based on phylogenomic structures of the germplasm. Inferred admixture structures were in agreement with previous hypotheses regarding the origin of several secondary species and also revealed the probable origin of several acid citrus varieties. The developed species-diagnostic SNP

  1. Databank based mining on the track of antimicrobial weapons in plant genomes.

    PubMed

    Belarmino, Luis C; Benko-Iseppon, Ana M

    2010-05-01

    The expressive amount of nucleotide sequences from diverse plant species in databanks enables the use of computational approaches to discovery still unidentified genes and to infer about their function, structure and role in some biological processes. Of special interest are the antimicrobial peptides (AMP), whose functionalities have a very important role in defense against microbial infection in multicellular eukaryotes, being considered less susceptible to bacterial resistance than traditional antibiotics, with potential to develop a new class of therapeutic agents. Recent computational developments have provided various algorithms and resources to profit from the overwhelming information in data banks for biomining such peptides. This review focuses on the computational and bioinformatic approaches so far used for the identification of antimicrobial peptides in plant systems, highlighting alternative means of mining the entire plant peptide space that has recently become available. PMID:20088774

  2. Novel LanT Associated Lantibiotic Clusters Identified by Genome Database Mining

    PubMed Central

    Singh, Mangal; Sareen, Dipti

    2014-01-01

    Background Frequent use of antibiotics has led to the emergence of antibiotic resistance in bacteria. Lantibiotic compounds are ribosomally synthesized antimicrobial peptides against which bacteria are not able to produce resistance, hence making them a good alternative to antibiotics. Nisin is the oldest and the most widely used lantibiotic, in food preservation, without having developed any significant resistance against it. Having their antimicrobial potential and a limited number, there is a need to identify novel lantibiotics. Methodology/Findings Identification of novel lantibiotic biosynthetic clusters from an ever increasing database of bacterial genomes, can provide a major lead in this direction. In order to achieve this, a strategy was adopted to identify novel lantibiotic biosynthetic clusters by screening the sequenced genomes for LanT homolog, which is a conserved lantibiotic transporter specific to type IB clusters. This strategy resulted in identification of 54 bacterial strains containing the LanT homologs, which are not the known lantibiotic producers. Of these, 24 strains were subjected to a detailed bioinformatic analysis to identify genes encoding for precursor peptides, modification enzyme, immunity and quorum sensing proteins. Eight clusters having two LanM determinants, similar to haloduracin and lichenicidin were identified, along with 13 clusters having a single LanM determinant as in mersacidin biosynthetic cluster. Besides these, orphan LanT homologs were also identified which might be associated with novel bacteriocins, encoded somewhere else in the genome. Three identified gene clusters had a C39 domain containing LanT transporter, associated with the LanBC proteins and double glycine type precursor peptides, the only known example of such a cluster is that of salivaricin. Conclusion This study led to the identification of 8 novel putative two-component lantibiotic clusters along with 13 having a single LanM and 3 with LanBC genes

  3. Genome mining of mycosporine-like amino acid (MAA) synthesizing and non-synthesizing cyanobacteria: A bioinformatics study.

    PubMed

    Singh, Shailendra P; Klisch, Manfred; Sinha, Rajeshwar P; Häder, Donat-P

    2010-02-01

    Mycosporine-like amino acids (MAAs) are a family of more than 20 compounds having absorption maxima between 310 and 362 nm. These compounds are well known for their UV-absorbing/screening role in various organisms and seem to have evolutionary significance. In the present investigation we tested four cyanobacteria, e.g., Anabaena variabilis PCC 7937, Anabaena sp. PCC 7120, Synechocystis sp. PCC 6803 and Synechococcus sp. PCC 6301, for their ability to synthesize MAA and conducted genomic and phylogenetic analysis to identify the possible set of genes that might be involved in the biosynthesis of these compounds. Out of the four investigated species, only A. variabilis PCC 7937 was able to synthesize MAA. Genome mining identified a combination of genes, YP_324358 (predicted DHQ synthase) and YP_324357 (O-methyltransferase), which were present only in A. variabilis PCC 7937 and missing in the other studied cyanobacteria. Phylogenetic analysis revealed that these two genes are transferred from a cyanobacterial donor to dinoflagellates and finally to metazoa by a lateral gene transfer event. All other cyanobacteria, which have these two genes, also had another copy of the DHQ synthase gene. The predicted protein structure for YP_324358 also suggested that this product is different from the chemically characterized DHQ synthase of Aspergillus nidulans contrary to the YP_324879, which was predicted to be similar to the DHQ synthase. The present study provides a first insight into the genes of cyanobacteria involved in MAA biosynthesis and thus widens the field of research for molecular, bioinformatics and phylogenetic analysis of these evolutionary and industrially important compounds. Based on the results we propose that YP_324358 and YP_324357 gene products are involved in the biosynthesis of the common core (deoxygadusol) of all MAAs. PMID:19879348

  4. The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.

    PubMed

    Chen, Min; Wang, Kai; Zhang, Liang; Li, Cheng; Yang, Yongliang

    2011-01-01

    Urine has emerged as an attractive biofluid for the noninvasive detection of prostate cancer (PCa). There is a strong imperative to discover candidate urinary markers for the clinical diagnosis and prognosis of PCa. The rising flood of various omics profiles presents immense opportunities for the identification of prospective biomarkers. Here we present a simple and efficient strategy to derive candidate urine markers for prostate tumor by mining cancer genomic profiles from public databases. Prostate, bladder and kidney are three major tissues from which cellular matters could be released into urine. To identify urinary markers specific for PCa, upregulated entities that might be shed in exosomes of bladder cancer and kidney cancer are first excluded. Through the ontology-based filtering and further assessment, a reduced list of 19 entities encoding urinary proteins was derived as putative PCa markers. Among them, we have found 10 entities closely associated with the process of tumor cell growth and development by pathway enrichment analysis. Further, using the 10 entities as seeds, we have constructed a protein-protein interaction (PPI) subnetwork and suggested a few urine markers as preferred prognostic markers to monitor the invasion and progression of PCa. Our approach is amenable to discover and prioritize potential markers present in a variety of body fluids for a spectrum of human diseases. PMID:22194848

  5. Fungal genomes mining to discover novel sterol esterases and lipases as catalysts

    PubMed Central

    2013-01-01

    Background Sterol esterases and lipases are enzymes able to efficiently catalyze synthesis and hydrolysis reactions of both sterol esters and triglycerides and due to their versatility could be widely used in different industrial applications. Lipases with this ability have been reported in the yeast Candida rugosa that secretes several extracellular enzymes with a high level of sequence identity, although different substrate specificity. This versatility has also been found in the sterol esterases from the ascomycetes Ophiostoma piceae and Melanocarpus albomyces. Results In this work we present an in silico search of new sterol esterase and lipase sequences from the genomes of environmental fungi. The strategy followed included identification and search of conserved domains from these versatile enzymes, phylogenetic studies, sequence analysis and 3D modeling of the selected candidates. Conclusions Six potential putative enzymes were selected and their kinetic properties and substrate selectivity are discussed on the basis of their similarity with previously characterized sterol esterases/lipases with known structures. PMID:24138290

  6. Evaluating the microtubule cytoskeleton and its interacting proteins in monocots by mining the rice genome

    PubMed Central

    Guo, Longbiao; Ho, Chin-Min Kimmy; Kong, Zhaosheng; Lee, Yuh-Ru Julie; Qian, Qian; Liu, Bo

    2009-01-01

    Background Microtubules (MTs) are assembled by heterodimers of α- and β-tubulins, which provide tracks for directional transport and frameworks for the spindle apparatus and the phragmoplast. MT nucleation and dynamics are regulated by components such as the γ-tubulin complex which are conserved among eukaryotes, and other components which are unique to plants. Following remarkable progress made in the model plant Arabidopsis thaliana toward revealing key components regulating MT activities, the completed rice (Oryza sativa) genome has prompted a survey of the MT cytoskeleton in this important crop as a model for monocots. Scope The rice genome contains three α-tubulin genes, eight β-tubulin genes and a single γ-tubulin gene. A functional γ-tubulin ring complex is expected to form in rice as genes encoding all components of the complex are present. Among proteins that interact with MTs, compared with A. thaliana, rice has more genes encoding some members such as the MAP65/Ase1p/PRC1 family, but fewer for the motor kinesins, the end-binding protein EB1 and the mitotic kinase Aurora. Although most known MT-interacting factors have apparent orthologues in rice, no orthologues of arabidopsis RIC1 and MAP18 have been identified in rice. Among all proteins surveyed here, only a few have had their functions characterized by genetic means in rice. Elucidating functions of proteins of the rice MT cytoskeleton, aided by recent technical advances made in this model monocot, will greatly advance our knowledge of how monocots employ their MTs to regulate their growth and form. PMID:19106179

  7. Genomic mining for novel FADH₂-dependent halogenases in marine sponge-associated microbial consortia.

    PubMed

    Bayer, Kristina; Scheuermayer, Matthias; Fieseler, Lars; Hentschel, Ute

    2013-02-01

    Many marine sponges (Porifera) are known to contain large amounts of phylogenetically diverse microorganisms. Sponges are also known for their large arsenal of natural products, many of which are halogenated. In this study, 36 different FADH₂-dependent halogenase gene fragments were amplified from various Caribbean and Mediterranean sponges using newly designed degenerate PCR primers. Four unique halogenase-positive fosmid clones, all containing the highly conserved amino acid motif "GxGxxG", were identified in the microbial metagenome of Aplysina aerophoba. Sequence analysis of one halogenase-bearing fosmid revealed notably two open reading frames with high homologies to efflux and multidrug resistance proteins. Single cell genomic analysis allowed for a taxonomic assignment of the halogenase genes to specific symbiotic lineages. Specifically, the halogenase cluster S1 is predicted to be produced by a deltaproteobacterial symbiont and halogenase cluster S2 by a poribacterial sponge symbiont. An additional halogenase gene is possibly produced by an actinobacterial symbiont of marine sponges. The identification of three novel, phylogenetically, and possibly also functionally distinct halogenase gene clusters indicates that the microbial consortia of sponges are a valuable resource for novel enzymes involved in halogenation reactions. PMID:22562484

  8. Data-mining approaches reveal hidden families of proteases in the genome of malaria parasite.

    PubMed

    Wu, Yimin; Wang, Xiangyun; Liu, Xia; Wang, Yufeng

    2003-04-01

    The search for novel antimalarial drug targets is urgent due to the growing resistance of Plasmodium falciparum parasites to available drugs. Proteases are attractive antimalarial targets because of their indispensable roles in parasite infection and development, especially in the processes of host erythrocyte rupture/invasion and hemoglobin degradation. However, to date, only a small number of proteases have been identified and characterized in Plasmodium species. Using an extensive sequence similarity search, we have identified 92 putative proteases in the P. falciparum genome. A set of putative proteases including calpain, metacaspase, and signal peptidase I have been implicated to be central mediators for essential parasitic activity and distantly related to the vertebrate host. Moreover, of the 92, at least 88 have been demonstrated to code for gene products at the transcriptional levels, based upon the microarray and RT-PCR results, and the publicly available microarray and proteomics data. The present study represents an initial effort to identify a set of expressed, active, and essential proteases as targets for inhibitor-based drug design. PMID:12671001

  9. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses.

    PubMed

    Stelzer, Gil; Rosen, Naomi; Plaschkes, Inbar; Zimmerman, Shahar; Twik, Michal; Fishilevich, Simon; Stein, Tsippi Iny; Nudel, Ron; Lieder, Iris; Mazor, Yaron; Kaplan, Sergey; Dahary, Dvir; Warshawsky, David; Guan-Golan, Yaron; Kohn, Asher; Rappaport, Noa; Safran, Marilyn; Lancet, Doron

    2016-01-01

    GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It automatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. VarElect's capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. © 2016 by John Wiley & Sons, Inc. PMID:27322403

  10. miRNA Digger: a comprehensive pipeline for genome-wide novel miRNA mining.

    PubMed

    Yu, Lan; Shao, Chaogang; Ye, Xinghuo; Meng, Yijun; Zhou, Yincong; Chen, Ming

    2016-01-01

    MicroRNAs (miRNAs) are important regulators of gene expression. The recent advances in high-throughput sequencing (HTS) technique have greatly facilitated large-scale detection of the miRNAs. However, thoroughly discovery of novel miRNAs from the available HTS data sets remains a major challenge. In this study, we observed that Dicer-mediated cleavage sites for the processing of the miRNA precursors could be mapped by using degradome sequencing data in both animals and plants. In this regard, a novel tool, miRNA Digger, was developed for systematical discovery of miRNA candidates through genome-wide screening of cleavage signals based on degradome sequencing data. To test its sensitivity and reliability, miRNA Digger was applied to discover miRNAs from four organs of Arabidopsis. The results revealed that a majority of already known mature miRNAs along with their miRNA*s expressed in these four organs were successfully recovered. Notably, a total of 30 novel miRNA-miRNA* pairs that have not been registered in miRBase were discovered by miRNA Digger. After target prediction and degradome sequencing data-based validation, eleven miRNA-target interactions involving six of the novel miRNAs were identified. Taken together, miRNA Digger could be applied for sensitive detection of novel miRNAs and it could be freely downloaded from http://www.bioinfolab.cn/miRNA_Digger/index.html. PMID:26732371

  11. [Constitutional requirements of rationing].

    PubMed

    Kluth, Winfried

    2008-01-01

    Rationing is an emotive issue in the field of public health. This complicates the rational discourse, which is indispensable for analyzing the rationing conditions as set out by constitutional law and which requires manifold differentiation and consideration that shall briefly be outlined in the following short contribution. Of central significance is the distinction between indirect and direct rationing as well as the reference to the essential responsibility of legislators for rationing decisions. PMID:19004184

  12. Genomic analysis of head and neck squamous cell carcinoma cell lines and human tumors: a rational approach to preclinical model selection

    PubMed Central

    Li, Hua; Wawrose, John S.; Gooding, William E.; Garraway, Levi A.; Lui, Vivian Wai Yan; Peyser, Noah D.; Grandis, Jennifer R.

    2014-01-01

    Head and neck squamous cell carcinoma (HNSCC) is the sixth most common type of cancer worldwide. The increasing amount of genomic information on human tumors and cell lines provides more biological data to design preclinical studies. We and others previously reported whole exome sequencing data of 106 HNSCC primary tumors. In 2012, high throughput genomic data and pharmacological profiling of anticancer drugs of hundreds of cancer cell lines were reported. Here we compared the genomic data of 39 HNSCC cell lines with the genomic findings in 106 HNSCC tumors. Amplification of eight genes (PIK3CA, EGFR, CCND2, KDM5A, ERBB2, PMS1, FGFR1 and WHSCIL1) and deletion of five genes (CDKN2A, SMAD4, NOTCH2, NRAS and TRIM33) were found in both HNSCC cell lines and tumors. Seventeen genes were only mutated in HNSCC cell lines (>10%) suggesting that these mutations may arise through immortalization in tissue culture. Conversely, 11 genes were only mutated in >10% of human HNSCC tumors. Several mutant genes in the EGFR pathway are shared both in cell lines and in tumors. Pharmacological profiling of eight anticancer agents in six HNSCC cell lines suggested that PIK3CA mutation may serve as a predictive biomarker for the drugs targeting the EGFR/PI3K pathway. These findings suggest that a correlation of gene mutations between HNSCC cell lines and human tumors may be used to guide the selection of preclinical models for translational research. PMID:24425785

  13. Burkholderia genome mining for nonribosomal peptide synthetases reveals a great potential for novel siderophores and lipopeptides synthesis.

    PubMed

    Esmaeel, Qassim; Pupin, Maude; Kieu, Nam Phuong; Chataigné, Gabrielle; Béchet, Max; Deravel, Jovana; Krier, François; Höfte, Monica; Jacques, Philippe; Leclère, Valérie

    2016-06-01

    Burkholderia is an important genus encompassing a variety of species, including pathogenic strains as well as strains that promote plant growth. We have carried out a global strategy, which combined two complementary approaches. The first one is genome guided with deep analysis of genome sequences and the second one is assay guided with experiments to support the predictions obtained in silico. This efficient screening for new secondary metabolites, performed on 48 gapless genomes of Burkholderia species, revealed a total of 161 clusters containing nonribosomal peptide synthetases (NRPSs), with the potential to synthesize at least 11 novel products. Most of them are siderophores or lipopeptides, two classes of products with potential application in biocontrol. The strategy led to the identification, for the first time, of the cluster for cepaciachelin biosynthesis in the genome of Burkholderia ambifaria AMMD and a cluster corresponding to a new malleobactin-like siderophore, called phymabactin, was identified in Burkholderia phymatum STM815 genome. In both cases, the siderophore was produced when the strain was grown in iron-limited conditions. Elsewhere, the cluster for the antifungal burkholdin was detected in the genome of B. ambifaria AMMD and also Burkholderia sp. KJ006. Burkholderia pseudomallei strains harbor the genetic potential to produce a novel lipopeptide called burkhomycin, containing a peptidyl moiety of 12 monomers. A mixture of lipopeptides produced by Burkholderia rhizoxinica lowered the surface tension of the supernatant from 70 to 27 mN·m(-1) . The production of nonribosomal secondary metabolites seems related to the three phylogenetic groups obtained from 16S rRNA sequences. Moreover, the genome-mining approach gave new insights into the nonribosomal synthesis exemplified by the identification of dual C/E domains in lipopeptide NRPSs, up to now essentially found in Pseudomonas strains. PMID:27060604

  14. Characterization of the Alkaline Laccase Ssl1 from Streptomyces sviceus with Unusual Properties Discovered by Genome Mining

    PubMed Central

    Gunne, Matthias; Urlacher, Vlada B.

    2012-01-01

    Fungal laccases are well investigated enzymes with high potential in diverse applications like bleaching of waste waters and textiles, cellulose delignification, and organic synthesis. However, they are limited to acidic reaction conditions and require eukaryotic expression systems. This raises a demand for novel laccases without these constraints. We have taken advantage of the laccase engineering database LccED derived from genome mining to identify and clone the laccase Ssl1 from Streptomyces sviceus which can circumvent the limitations of fungal laccases. Ssl1 belongs to the family of small laccases that contains only few characterized enzymes. After removal of the twin-arginine signal peptide Ssl1 was readily expressed in E. coli. Ssl1 is a small laccase with 32.5 kDa, consists of only two cupredoxin-like domains, and forms trimers in solution. Ssl1 oxidizes 2,2′-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) and phenolic substrates like 2,6-dimethoxy phenol, guaiacol, and syringaldazine. The kcat value for ABTS oxidation was at least 20 times higher than for other substrates. The optimal pH for oxidation reactions is substrate dependent: for phenolic substrates the highest activities were detected at alkaline conditions (pH 9.0 for 2,6-dimethoxy phenol and guaiacol and pH 8.0 for syringaldazine), while the highest reaction rates with ABTS were observed at pH 4.0. Though originating from a mesophilic organism, Ssl demonstrates remarkable stability at elevated temperatures (T1/2,60°C = 88 min) and in a wide pH range (pH 5.0 to 11.0). Notably, the enzyme retained 80% residual activity after 5 days of incubation at pH 11. Detergents and organic co-solvents do not affect Ssl1 stability. The described robustness makes Ssl1 a potential candidate for industrial applications, preferably in processes that require alkaline reaction conditions. PMID:23285009

  15. Rationing medical education.

    PubMed

    Walsh, Kieran

    2016-03-01

    The purpose of this paper is to discuss the role of rationing in medical education. Medical education is expensive and there is a limit to that which governments, funders or individuals can spend on it. Rationing involves the allocation of resources that are limited. This paper discussed the pros and cons of the application of rationing to medical education and the different forms of rationing that could be applied. Even though some stakeholders in medical education might be taken aback at the prospect of rationing, the truth is that rationing has always occurred in one form or another in medical education and in healthcare more broadly. Different types of rationing exist in healthcare professional education. For example rationing may be implicit or explicit or may be based on macro-allocation or micro-allocation decisions. Funding can be distributed equally among learners, or according to the needs of individual learners, or to ensure that overall usefulness is maximised. One final option is to allow the market to operate freely and to decide in that way. These principles of rationing can apply to individual learners or to institutions or departments or learning modes. Rationing is occurring in medical education, even though it might be implicit. It is worth giving consideration to methods of rationing and to make thinking about rationing more explicit. PMID:27358649

  16. Characterization of novel archaeal lineages associated with acid mine drainage in Iron Mountain, CA using anaerobic cultivation and cultivation-independent genomic analysis

    NASA Astrophysics Data System (ADS)

    Baker, B. J.; Tyson, G. W.; Hugenholtz, P.; Banfield, J. F.

    2003-12-01

    Iron Mountain in northern California, contains a pyritic orebody undergoing dissolution from mining creating extremely acidic (generally ~pH 0.8), warm (>40° C), and highly concentrated metal solutions, referred to as acid mine drainage (AMD). AMD communities are limited in the number of lineages that have been associated with them. The archaeal members of the mine community, in the past, have been restricted to the Thermoplasmatales order. The various clades within the Thermoplasmatales have been named the "alphabet plasma" (ie. Aplasma through Gplasma). The majority of them remain uncultured. Anaerobic media containing ferric sulfate and glucose has been successful in enriching and maintaining members of the "alphabet plasmas". Analysis of aqueous chemistry of these cultures shows a reduction of ferric iron, suggesting a subset of these archaea are capable of iron reduction. This may be a relevant part of iron cycling in the mine previously overlooked. Recently, another deeply branched archaeal group, named WTF1102, has been identified. Completely independent of all previously identified AMD lineages, its closest relative available in present databases is to that of the euryarchaeota group referred to as VAL1, which consists entirely of uncultured and poorly represented in sequences. Screening of the community genomic library constructed from the site revealed a contiguous fragment from two shotgun clones, totaling ~4.4kb in length. These clones have been fully sequenced and contain two genes, a phosphatase and 16S rRNA. The 16S rRNA gene has a 515 bp long intron at 1102 (E. coli numbering) that contains an open reading frame which encodes for a ubitiquitin-like protein modifier. Phylogenetic analysis of the phosphotase amino acid sequence revealed it branches with that of other acidophiles, Thermoplasma and Ferroplasma. We are developing FISH probes to target the individual "alphabet plasma" and WTF1102. This work extends what we know about the diversity and

  17. Draft Genome of Streptomyces zinciresistens K42, a Novel Metal-Resistant Species Isolated from Copper-Zinc Mine Tailings

    PubMed Central

    Lin, Yanbing; Hao, Xiuli; Johnstone, Laurel; Miller, Susan J.; Baltrus, David A.; Rensing, Christopher; Wei, Gehong

    2011-01-01

    A draft genome sequence of Streptomyces zinciresistens K42, a novel Streptomyces species displaying a high level of resistance to zinc and cadmium, is presented here. The genome contains a large number of genes encoding proteins predicted to be involved in conferring metal resistance. Many of these genes appear to have been acquired through horizontal gene transfer. PMID:22038968

  18. Draft genome sequence of extremely acidophilic bacterium Acidithiobacillus ferrooxidans DLC-5 isolated from acid mine drainage in Northeast China.

    PubMed

    Chen, Peng; Yan, Lei; Wu, Zhengrong; Xu, Ruixiang; Li, Suyue; Wang, Ningbo; Liang, Ning; Li, Hongyu

    2015-12-01

    Acidithiobacillus ferrooxidans type strain DLC-5, isolated from Wudalianchi in Heihe of Heilongjiang Province, China. Here, we present the draft genome of strain DLC-5 which contains 4,232,149 bp in 2745 contigs with 57.628% GC content and includes 32,719 protein-coding genes and 64 tRNA-encoding genes. The genome sequence can be accessed at DDBJ/EMBL/GenBank under the accession no. JNNH00000000.1. PMID:26697393

  19. Draft genome sequence of extremely acidophilic bacterium Acidithiobacillus ferrooxidans DLC-5 isolated from acid mine drainage in Northeast China

    PubMed Central

    Chen, Peng; Yan, Lei; Wu, Zhengrong; Xu, Ruixiang; Li, Suyue; Wang, Ningbo; Liang, Ning; Li, Hongyu

    2015-01-01

    Acidithiobacillus ferrooxidans type strain DLC-5, isolated from Wudalianchi in Heihe of Heilongjiang Province, China. Here, we present the draft genome of strain DLC-5 which contains 4,232,149 bp in 2745 contigs with 57.628% GC content and includes 32,719 protein-coding genes and 64 tRNA-encoding genes. The genome sequence can be accessed at DDBJ/EMBL/GenBank under the accession no. JNNH00000000.1. PMID:26697393

  20. Identification of Novel Target Genes for Safer and More Specific Control of Root-Knot Nematodes from a Pan-Genome Mining

    PubMed Central

    Danchin, Etienne G. J.; Perfus-Barbeoch, Laetitia; Magliano, Marc; Rosso, Marie-Noëlle; Da Rocha, Martine; Da Silva, Corinne; Nottet, Nicolas; Labadie, Karine; Guy, Julie; Artiguenave, François; Abad, Pierre

    2013-01-01

    Root-knot nematodes are globally the most aggressive and damaging plant-parasitic nematodes. Chemical nematicides have so far constituted the most efficient control measures against these agricultural pests. Because of their toxicity for the environment and danger for human health, these nematicides have now been banned from use. Consequently, new and more specific control means, safe for the environment and human health, are urgently needed to avoid worldwide proliferation of these devastating plant-parasites. Mining the genomes of root-knot nematodes through an evolutionary and comparative genomics approach, we identified and analyzed 15,952 nematode genes conserved in genomes of plant-damaging species but absent from non target genomes of chordates, plants, annelids, insect pollinators and mollusks. Functional annotation of the corresponding proteins revealed a relative abundance of putative transcription factors in this parasite-specific set compared to whole proteomes of root-knot nematodes. This may point to important and specific regulators of genes involved in parasitism. Because these nematodes are known to secrete effector proteins in planta, essential for parasitism, we searched and identified 993 such effector-like proteins absent from non-target species. Aiming at identifying novel targets for the development of future control methods, we biologically tested the effect of inactivation of the corresponding genes through RNA interference. A total of 15 novel effector-like proteins and one putative transcription factor compatible with the design of siRNAs were present as non-redundant genes and had transcriptional support in the model root-knot nematode Meloidogyne incognita. Infestation assays with siRNA-treated M. incognita on tomato plants showed significant and reproducible reduction of the infestation for 12 of the 16 tested genes compared to control nematodes. These 12 novel genes, showing efficient reduction of parasitism when silenced, constitute

  1. Community genomic and proteomic analysis of chemoautotrophic, iron-oxidizing "Leptospirillum rubarum" (Group II) and Leptospirillum ferrodiazotrophum (Group III) in acid mine drainage biofilms

    SciTech Connect

    Goltsman, Daniela; Denef, Vincent; Singer, Steven; Verberkmoes, Nathan C; Lefsrud, Mark G; Mueller, Ryan; Dick, Gregory J.; Sun, Christine; Wheeler, Korin; Zelma, Adam; Baker, Brett J.; Hauser, Loren John; Land, Miriam L; Shah, Manesh B; Thelen, Michael P.; Hettich, Robert {Bob} L; Banfield, Jillian F.

    2009-01-01

    We analyzed near-complete population (composite) genomic sequences for coexisting acidophilic iron-oxidizing Leptospirillum Groups II and III bacteria (phylum Nitrospirae) and an extrachromosomal plasmid from a Richmond Mine, CA acid mine drainage (AMD) biofilm. Community proteomic analysis of the genomically characterized sample and two other biofilms identified 64.6% and 44.9% of the predicted proteins of Leptospirillum Groups II and III, respectively and 20% of the predicted plasmid proteins. The bacteria share 92% 16S rRNA gene sequence identity and > 60% of their genes, including integrated plasmid-like regions. The extrachromosomal plasmid encodes conjugation genes with detectable sequence similarity to genes in the integrated conjugative plasmid, but only those on the extrachromosomal element were identified by proteomics. Both bacteria have genes for community-essential functions, including carbon fixation, biosynthesis of vitamins, fatty acids and biopolymers (including cellulose); proteomic analyses reveal these activities. Both Leptospirillum types have multiple pathways for osmotic protection. Although both are motile, signal transduction and methyl-accepting chemotaxis proteins are more abundant in Leptospirillum Group III, consistent with its distribution in gradients within biofilms. Interestingly, Leptospirillum Group II uses a methyl-dependent and Leptospirillum Group III a methyl-independent response pathway. Although only Leptospirillum Group III can fix nitrogen, these proteins were not identified by proteomics. Abundances of core proteins are similar in all communities, but abundance levels of unique and shared proteins of unknown function vary. Some proteins unique to one organism were highly expressed and may be key to the functional and ecological differentiation of Leptospirillum Groups II and III.

  2. Community Genomic and Proteomic Analyses of Chemoautotrophic Iron-Oxidizing "Leptospirillum rubarum" (Group II) and "Leptospirillum ferrodiazotrophum" (Group III) Bacteria in Acid Mine Drainage Biofilms

    SciTech Connect

    Goltsman, Daniela; Denef, Vincent; Singer, Steven; Verberkmoes, Nathan C; Lefsrud, Mark G; Mueller, Ryan; Dick, Gregory J.; Sun, Christine; Wheeler, Korin; Zelma, Adam; Baker, Brett J.; Hauser, Loren John; Land, Miriam L; Shah, Manesh B; Thelen, Michael P.; Hettich, Robert {Bob} L; Banfield, Jillian F.

    2009-01-01

    We analyzed near-complete population (composite) genomic sequences for coexisting acidophilic iron-oxidizing Leptospirillum group II and III bacteria (phylum Nitrospirae) and an extrachromosomal plasmid from a Richmond Mine, Iron Mountain, CA, acid mine drainage biofilm. Community proteomic analysis of the genomically characterized sample and two other biofilms identified 64.6% and 44.9% of the predicted proteins of Leptospirillum groups II and III, respectively, and 20% of the predicted plasmid proteins. The bacteria share 92% 16S rRNA gene sequence identity and >60% of their genes, including integrated plasmid-like regions. The extrachromosomal plasmid carries conjugation genes with detectable sequence similarity to genes in the integrated conjugative plasmid, but only those on the extrachromosomal element were identified by proteomics. Both bacterial groups have genes for community-essential functions, including carbon fixation and biosynthesis of vitamins, fatty acids, and biopolymers (including cellulose); proteomic analyses reveal these activities. Both Leptospirillum types have multiple pathways for osmotic protection. Although both are motile, signal transduction and methyl-accepting chemotaxis proteins are more abundant in Leptospirillum group III, consistent with its distribution in gradients within biofilms. Interestingly, Leptospirillum group II uses a methyl-dependent and Leptospirillum group III a methyl-independent response pathway. Although only Leptospirillum group III can fix nitrogen, these proteins were not identified by proteomics. The abundances of core proteins are similar in all communities, but the abundance levels of unique and shared proteins of unknown function vary. Some proteins unique to one organism were highly expressed and may be key to the functional and ecological differentiation of Leptospirillum groups II and III.

  3. Enculturated Chimpanzees Imitate Rationally

    ERIC Educational Resources Information Center

    Buttelmann, David; Carpenter, Malinda; Call, Josep; Tomasello, Michael

    2007-01-01

    Human infants imitate others' actions "rationally": they copy a demonstrator's action when that action is freely chosen, but less when it is forced by some constraint (Gergely, Bekkering & Kiraly, 2002). We investigated whether enculturated chimpanzees (Pan troglodytes) also imitate rationally. Using Gergely and colleagues' (2002) basic procedure,…

  4. A Rational Expectations Experiment.

    ERIC Educational Resources Information Center

    Peterson, Norris A.

    1990-01-01

    Presents a simple classroom simulation of the Lucas supply curve mechanism with rational expectations. Concludes that the exercise has proved very useful as an introduction to the concepts of rational and adaptive expectations, the Lucas supply curve, the natural rate hypothesis, and random supply shocks. (DB)

  5. Standby Gasoline Rationing Plan

    SciTech Connect

    1980-06-01

    The final rules adopted by the President for a Standby Gasoline Rationing Plan are presented. The plan provides that eligibility for ration allotments will be determined primarily on the basis of motor vehicle registrations, taking into account historical differences in the use of gasoline among states. The regulations also provide authority for supplemental allotments to firms so that their allotment will equal a specified percentage of gasoline use during a base period. Priority classifications, i.e., agriculture, defense, etc., are established to assure adequate gasoline supplies for designated essential services. Ration rights must be provided by end-users to their suppliers for each gallon sold. DOE will regulate the distribution of gasoline at the wholesale level according to the transfer by suppliers of redeemed ration rights and the gasoline allocation regulations. Ration rights are transferable. A ration banking system is created to facilitate transfers of ration rights. Each state will be provided with a reserve of ration rights to provide for hardship needs and to alleviate inequities. (DC)

  6. Commercial Data Mining Software

    NASA Astrophysics Data System (ADS)

    Zhang, Qingyu; Segall, Richard S.

    This chapter discusses selected commercial software for data mining, supercomputing data mining, text mining, and web mining. The selected software are compared with their features and also applied to available data sets. The software for data mining are SAS Enterprise Miner, Megaputer PolyAnalyst 5.0, PASW (formerly SPSS Clementine), IBM Intelligent Miner, and BioDiscovery GeneSight. The software for supercomputing are Avizo by Visualization Science Group and JMP Genomics from SAS Institute. The software for text mining are SAS Text Miner and Megaputer PolyAnalyst 5.0. The software for web mining are Megaputer PolyAnalyst and SPSS Clementine . Background on related literature and software are presented. Screen shots of each of the selected software are presented, as are conclusions and future directions.

  7. Genome mining of the sordarin biosynthetic gene cluster from Sordaria araneosa Cain ATCC 36386: characterization of cycloaraneosene synthase and GDP-6-deoxyaltrose transferase.

    PubMed

    Kudo, Fumitaka; Matsuura, Yasunori; Hayashi, Takaaki; Fukushima, Masayuki; Eguchi, Tadashi

    2016-07-01

    Sordarin is a glycoside antibiotic with a unique tetracyclic diterpene aglycone structure called sordaricin. To understand its intriguing biosynthetic pathway that may include a Diels-Alder-type [4+2]cycloaddition, genome mining of the gene cluster from the draft genome sequence of the producer strain, Sordaria araneosa Cain ATCC 36386, was carried out. A contiguous 67 kb gene cluster consisting of 20 open reading frames encoding a putative diterpene cyclase, a glycosyltransferase, a type I polyketide synthase, and six cytochrome P450 monooxygenases were identified. In vitro enzymatic analysis of the putative diterpene cyclase SdnA showed that it catalyzes the transformation of geranylgeranyl diphosphate to cycloaraneosene, a known biosynthetic intermediate of sordarin. Furthermore, a putative glycosyltransferase SdnJ was found to catalyze the glycosylation of sordaricin in the presence of GDP-6-deoxy-d-altrose to give 4'-O-demethylsordarin. These results suggest that the identified sdn gene cluster is responsible for the biosynthesis of sordarin. Based on the isolated potential biosynthetic intermediates and bioinformatics analysis, a plausible biosynthetic pathway for sordarin is proposed. PMID:27072286

  8. Mining the Brassica oleracea genome for Q-type C2H2 zinc finger transcription factor proteins

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Q-type zinc finger proteins have been studied in several plant species and have been associated with response to stress. A whole genome analysis of Arabidopsis identified 176 putative C2H2 transcription factors (TF). Q-type C2H2 TFs containing the QALGGH motif and are a subset of these. In Arabidops...

  9. PhyloMarker—A Tool for Mining Phylogenetic Markers Through Genome Comparison: Application of the Mouse Lemur (Genus Microcebus) Phylogeny

    PubMed Central

    Lei, Runhua; Rowley, Thaine W.; Zhu, Lifeng; Bailey, Carolyn A.; Engberg, Shannon E.; Wood, Mindy L.; Christman, Mary C.; Perry, George H.; Louis, Edward E.; Lu, Guoqing

    2012-01-01

    Molecular phylogeny is a fundamental tool to understanding the evolution of all life forms. One common issue faced by molecular phylogeny is the lack of sufficient molecular markers. Here, we present PhyloMarker, a phylogenomic tool designed to find nuclear gene markers for the inference of phylogeny through multiple genome comparison. Around 800 candidate markers were identified by PhyloMarker through comparison of partial genomes of Microcebus and Otolemur. In experimental tests of 20 randomly selected markers, nine markers were successfully amplified by PCR and directly sequenced in all 17 nominal Microcebus species. Phylogenetic analyses of the sequence data obtained for 17 taxa and nine markers confirmed the distinct lineage inferred from previous mtDNA data. PhyloMarker has also been used by other projects including the herons (Ardeidae, Aves) phylogeny and the Wood mice (Muridae, Mammalia) phylogeny. All source code and sample data are made available at http://bioinfo-srv1.awh.unomaha.edu/phylomarker/.

  10. High-quality draft genome sequence of Kocuria marina SO9-6, an actinobacterium isolated from a copper mine

    PubMed Central

    Castro, Daniel B.A.; Pereira, Letícia Bianca; Silva, Marcus Vinícius M. e; Silva, Bárbara P. da; Palermo, Bruna Rafaella Z.; Carlos, Camila; Belgini, Daiane R.B.; Limache, Elmer Erasmo G.; Lacerda, Gileno V. Jr; Nery, Mariana B.P.; Gomes, Milene B.; Souza, Salatiel S. de; Silva, Thiago M. da; Rodrigues, Viviane D.; Paulino, Luciana C.; Vicentini, Renato; Ferraz, Lúcio F.C.; Ottoboni, Laura M.M.

    2015-01-01

    An actinobacterial strain, designated SO9-6, was isolated from a copper iron sulfide mineral. The organism is Gram-positive, facultatively anaerobic, and coccoid. Chemotaxonomic and phylogenetic properties were consistent with its classification in the genus Kocuria. Here, we report the first draft genome sequence of Kocuria marina SO9-6 under accession JROM00000000 (http://www.ncbi.nlm.nih.gov/nuccore/725823918), which provides insights for heavy metal bioremediation and production of compounds of biotechnological interest. PMID:26484219

  11. Mining human genome for novel purinergic P2Y receptors: a sequence analysis and molecular modeling approach.

    PubMed

    Bhatnagar, Sonika; Mishra, Shubhi; Pathak, Ravi

    2011-02-01

    The purinergic P2Y receptors are G-protein coupled receptors (GPCRs) that control many physiological processes by mediating cellular responses to purines, pyrimidines and their analogues. They can be used as potential therapeutic targets in a variety of disease conditions. Therefore, it is critical to identify new members of this family of receptors from the human genome and characterize them for their role in health and disease. In the present work, molecular modeling was carried out for the 21 known P2Y receptors. Binding site analysis was done on the basis of docking and site-directed mutagenesis data. Thus, conserved features of P2Y receptors could be formulated. These features can be used to determine the purinergic nature of potential P2Y receptors in the human genome. We applied this knowledge to human genome GPCR sequences found by sensitive sequence search techniques and identified two orphan receptors, namely GPR34 and GP171 that have all the necessary conserved features of P2Y receptors. PMID:21142848

  12. ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases

    PubMed Central

    2014-01-01

    Background Understanding the relationship between the millions of functional DNA elements and their protein regulators, and how they work in conjunction to manifest diverse phenotypes, is key to advancing our understanding of the mammalian genome. Next-generation sequencing technology is now used widely to probe these protein-DNA interactions and to profile gene expression at a genome-wide scale. As the cost of DNA sequencing continues to fall, the interpretation of the ever increasing amount of data generated represents a considerable challenge. Results We have developed ngs.plot – a standalone program to visualize enrichment patterns of DNA-interacting proteins at functionally important regions based on next-generation sequencing data. We demonstrate that ngs.plot is not only efficient but also scalable. We use a few examples to demonstrate that ngs.plot is easy to use and yet very powerful to generate figures that are publication ready. Conclusions We conclude that ngs.plot is a useful tool to help fill the gap between massive datasets and genomic information in this era of big sequencing data. PMID:24735413

  13. MacSyFinder: A Program to Mine Genomes for Molecular Systems with an Application to CRISPR-Cas Systems

    PubMed Central

    Abby, Sophie S.; Néron, Bertrand; Ménager, Hervé; Touchon, Marie; Rocha, Eduardo P. C.

    2014-01-01

    Motivation Biologists often wish to use their knowledge on a few experimental models of a given molecular system to identify homologs in genomic data. We developed a generic tool for this purpose. Results Macromolecular System Finder (MacSyFinder) provides a flexible framework to model the properties of molecular systems (cellular machinery or pathway) including their components, evolutionary associations with other systems and genetic architecture. Modelled features also include functional analogs, and the multiple uses of a same component by different systems. Models are used to search for molecular systems in complete genomes or in unstructured data like metagenomes. The components of the systems are searched by sequence similarity using Hidden Markov model (HMM) protein profiles. The assignment of hits to a given system is decided based on compliance with the content and organization of the system model. A graphical interface, MacSyView, facilitates the analysis of the results by showing overviews of component content and genomic context. To exemplify the use of MacSyFinder we built models to detect and class CRISPR-Cas systems following a previously established classification. We show that MacSyFinder allows to easily define an accurate “Cas-finder” using publicly available protein profiles. Availability and Implementation MacSyFinder is a standalone application implemented in Python. It requires Python 2.7, Hmmer and makeblastdb (version 2.2.28 or higher). It is freely available with its source code under a GPLv3 license at https://github.com/gem-pasteur/macsyfinder. It is compatible with all platforms supporting Python and Hmmer/makeblastdb. The “Cas-finder” (models and HMM profiles) is distributed as a compressed tarball archive as Supporting Information. PMID:25330359

  14. The Construction of Moral Rationality.

    ERIC Educational Resources Information Center

    Moshman, D.

    1995-01-01

    Offers a theoretical account of moral rationality within a rational constructivist paradigm examining the nature and relationship of rationality and reasoning. Suggests progressive changes through developmental levels of moral rationality. Proposes a developmental moral epistemology that accommodates moral pluralism to a greater degree than does…

  15. Draft Genome Sequence of Mesorhizobium sp. UFLA 01-765, a Multitolerant, Efficient Symbiont and Plant Growth-Promoting Strain Isolated from Zn-Mining Soil Using Leucaena leucocephala as a Trap Plant

    PubMed Central

    Thijs, Sofie; Weyens, Nele; Vangronsveld, Jaco; Van Hamme, Jonathan D.; Bottos, Eric M.; Rineau, Francois

    2016-01-01

    We report the 7.4-Mb draft genome sequence of Mesorhizobium sp. strain UFLA 01-765, a Gram-negative bacterium of the Phyllobacteriaceae isolated from Zn-mining soil in Minas Gerais, Brazil. This strain promotes plant growth, efficiently fixes N2 in symbiosis with Leucaena leucocephala on multicontaminated soil, and has potential for application in bioremediation of marginal lands. PMID:26966214

  16. Mining the genome for susceptibility to diabetic nephropathy: the role of large-scale studies and consortia.

    PubMed

    Iyengar, Sudha K; Freedman, Barry I; Sedor, John R

    2007-03-01

    Approximately 30% of individuals with type 1 and type 2 diabetes develop persistent albuminuria, lose renal function, and are at increased risk for cardiovascular and other microvascular complications. Diabetes and kidney diseases rank within the top 10 causes of death in Westernized countries and cause significant morbidity. Given these observations, genetic, genomic, and proteomic investigations have been initiated to better define basic mechanisms for disease initiation and progression, to identify individuals at risk for diabetic complications, and to develop more efficacious therapies. In this review we have focused on linkage analyses of candidate genes or chromosomal regions, or coarse genome-wide scans, which have mapped either categorical (chronic kidney disease or end-stage renal disease) or quantitative kidney traits (albuminuria/proteinuria or glomerular filtration rate). Most loci identified to date have not been replicated, however, several linked chromosomal regions are concordant between independent samples, suggesting the presence of a diabetic nephropathy gene. Two genes, carnosinase (CNDP1) on 18q, and engulfment and cell motility 1 (ELMO1) on 7p14, have been identified as diabetic nephropathy susceptibility genes, but these results require authentication. The availability of patient data sets with large sample sizes, improvements in informatics, genotyping technology, and statistical methodologies should accelerate the discovery of valid diabetic nephropathy susceptibility genes. PMID:17418689

  17. [Rational use of antibiotics].

    PubMed

    Walger, P

    2016-06-01

    International and national campaigns draw attention worldwide to the rational use of the available antibiotics. This has been stimulated by the high prevalence rates of drug-resistant pathogens, such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE), a threatening spread of development of resistance in Gram-negative rod-shaped bacteria and the selection of Clostridium difficile with a simultaneous clear reduction in the development of new antibiotics. The implementation of antibiotic stewardship programs aims to maintain their effectiveness by a rational use of the available antibiotics. The essential target of therapy with antibiotics is successful treatment of individual patients with bacterial infections. The optimal clinical treatment results can only be achieved when the toxicity, selection of pathogens and development of resistance are minimized. This article presents the principles of a rational antibiotic therapy. PMID:27246321

  18. The ethics of rationing.

    PubMed

    Weale, A

    1995-10-01

    Rationing can occur at three levels of health care choice: the individual, the institutional and the social, with each level posing its own ethical problems. The institutional level is the focus of this paper. The principle of effectiveness may seem attractive, since it promises to ease the institutional dilemmas of rationing, but it is not straightforward to implement in the face of uncertainty. Greater efficiency also promises much, but concepts of benefit are contested and improving contractual performance has complications. Fairness can be a powerful criterion, but there are contested cases, for example age, where its meaning is unclear. Democratic responsiveness, for all its difficulties, is important to maintain in whatever process of rationing is chosen and this can be done by adopting some procedural devices. PMID:8556292

  19. Transcriptome Analysis of Two Vicia sativa Subspecies: Mining Molecular Markers to Enhance Genomic Resources for Vetch Improvement

    PubMed Central

    Kim, Tae-Sung; Raveendar, Sebastin; Suresh, Sundan; Lee, Gi-An; Lee, Jung-Ro; Cho, Joon-Hyeong; Lee, Sok-Young; Ma, Kyung-Ho; Cho, Gyu-Taek; Chung, Jong-Wook

    2015-01-01

    The vetch (Vicia sativa) is one of the most important annual forage legumes globally due to its multiple uses and high nutritional content. Despite these agronomical benefits, many drawbacks, including cyano-alanine toxin, has reduced the agronomic value of vetch varieties. Here, we used 454 technology to sequence the two V. sativa subspecies (ssp. sativa and ssp. nigra) to enrich functional information and genetic marker resources for the vetch research community. A total of 86,532 and 47,103 reads produced 35,202 and 18,808 unigenes with average lengths of 735 and 601 bp for V. sativa sativa and V. sativa nigra, respectively. Gene Ontology annotations and the cluster of orthologous gene classes were used to annotate the function of the Vicia transcriptomes. The Vicia transcriptome sequences were then mined for simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. About 13% and 3% of the Vicia unigenes contained the putative SSR and SNP sequences, respectively. Among those SSRs, 100 were chosen for the validation and the polymorphism test using the Vicia germplasm set. Thus, our approach takes advantage of the utility of transcriptomic data to expedite a vetch breeding program. PMID:26540077

  20. Transcriptome Analysis of Two Vicia sativa Subspecies: Mining Molecular Markers to Enhance Genomic Resources for Vetch Improvement.

    PubMed

    Kim, Tae-Sung; Raveendar, Sebastin; Suresh, Sundan; Lee, Gi-An; Lee, Jung-Ro; Cho, Joon-Hyeong; Lee, Sok-Young; Ma, Kyung-Ho; Cho, Gyu-Taek; Chung, Jong-Wook

    2015-01-01

    The vetch (Vicia sativa) is one of the most important annual forage legumes globally due to its multiple uses and high nutritional content. Despite these agronomical benefits, many drawbacks, including cyano-alanine toxin, has reduced the agronomic value of vetch varieties. Here, we used 454 technology to sequence the two V. sativa subspecies (ssp. sativa and ssp. nigra) to enrich functional information and genetic marker resources for the vetch research community. A total of 86,532 and 47,103 reads produced 35,202 and 18,808 unigenes with average lengths of 735 and 601 bp for V. sativa sativa and V. sativa nigra, respectively. Gene Ontology annotations and the cluster of orthologous gene classes were used to annotate the function of the Vicia transcriptomes. The Vicia transcriptome sequences were then mined for simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers. About 13% and 3% of the Vicia unigenes contained the putative SSR and SNP sequences, respectively. Among those SSRs, 100 were chosen for the validation and the polymorphism test using the Vicia germplasm set. Thus, our approach takes advantage of the utility of transcriptomic data to expedite a vetch breeding program. PMID:26540077

  1. Biosynthesis of Antibiotic Leucinostatins in Bio-control Fungus Purpureocillium lilacinum and Their Inhibition on Phytophthora Revealed by Genome Mining.

    PubMed

    Wang, Gang; Liu, Zhiguo; Lin, Runmao; Li, Erfeng; Mao, Zhenchuan; Ling, Jian; Yang, Yuhong; Yin, Wen-Bing; Xie, Bingyan

    2016-07-01

    Purpureocillium lilacinum of Ophiocordycipitaceae is one of the most promising and commercialized agents for controlling plant parasitic nematodes, as well as other insects and plant pathogens. However, how the fungus functions at the molecular level remains unknown. Here, we sequenced two isolates (PLBJ-1 and PLFJ-1) of P. lilacinum from different places Beijing and Fujian. Genomic analysis showed high synteny of the two isolates, and the phylogenetic analysis indicated they were most related to the insect pathogen Tolypocladium inflatum. A comparison with other species revealed that this fungus was enriched in carbohydrate-active enzymes (CAZymes), proteases and pathogenesis related genes. Whole genome search revealed a rich repertoire of secondary metabolites (SMs) encoding genes. The non-ribosomal peptide synthetase LcsA, which is comprised of ten C-A-PCP modules, was identified as the core biosynthetic gene of lipopeptide leucinostatins, which was specific to P. lilacinum and T. ophioglossoides, as confirmed by phylogenetic analysis. Furthermore, gene expression level was analyzed when PLBJ-1 was grown in leucinostatin-inducing and non-inducing medium, and 20 genes involved in the biosynthesis of leucionostatins were identified. Disruption mutants allowed us to propose a putative biosynthetic pathway of leucinostatin A. Moreover, overexpression of the transcription factor lcsF increased the production (1.5-fold) of leucinostatins A and B compared to wild type. Bioassays explored a new bioactivity of leucinostatins and P. lilacinum: inhibiting the growth of Phytophthora infestans and P. capsici. These results contribute to our understanding of the biosynthetic mechanism of leucinostatins and may allow us to utilize P. lilacinum better as bio-control agent. PMID:27416025

  2. Genome mining and metabolic profiling of the rhizosphere bacterium Pseudomonas sp. SH-C52 for antimicrobial compounds.

    PubMed

    Van Der Voort, Menno; Meijer, Harold J G; Schmidt, Yvonne; Watrous, Jeramie; Dekkers, Ester; Mendes, Rodrigo; Dorrestein, Pieter C; Gross, Harald; Raaijmakers, Jos M

    2015-01-01

    The plant microbiome represents an enormous untapped resource for discovering novel genes and bioactive compounds. Previously, we isolated Pseudomonas sp. SH-C52 from the rhizosphere of sugar beet plants grown in a soil suppressive to the fungal pathogen Rhizoctonia solani and showed that its antifungal activity is, in part, attributed to the production of the chlorinated 9-amino-acid lipopeptide thanamycin (Mendes et al., 2011). To get more insight into its biosynthetic repertoire, the genome of Pseudomonas sp. SH-C52 was sequenced and subjected to in silico, mutational and functional analyses. The sequencing revealed a genome size of 6.3 Mb and 5579 predicted ORFs. Phylogenetic analysis placed strain SH-C52 within the Pseudomonas corrugata clade. In silico analysis for secondary metabolites revealed a total of six non-ribosomal peptide synthetase (NRPS) gene clusters, including the two previously described NRPS clusters for thanamycin and the 2-amino acid antibacterial lipopeptide brabantamide. Here we show that thanamycin also has activity against an array of other fungi and that brabantamide A exhibits anti-oomycete activity and affects phospholipases of the late blight pathogen Phytophthora infestans. Most notably, mass spectrometry led to the discovery of a third lipopeptide, designated thanapeptin, with a 22-amino-acid peptide moiety. Seven structural variants of thanapeptin were found with varying degrees of activity against P. infestans. Of the remaining four NRPS clusters, one was predicted to encode for yet another and unknown lipopeptide with a predicted peptide moiety of 8-amino acids. Collectively, these results show an enormous metabolic potential for Pseudomonas sp. SH-C52, with at least three structurally diverse lipopeptides, each with a different antimicrobial activity spectrum. PMID:26217324

  3. Genome mining and metabolic profiling of the rhizosphere bacterium Pseudomonas sp. SH-C52 for antimicrobial compounds

    PubMed Central

    Van Der Voort, Menno; Meijer, Harold J. G.; Schmidt, Yvonne; Watrous, Jeramie; Dekkers, Ester; Mendes, Rodrigo; Dorrestein, Pieter C.; Gross, Harald; Raaijmakers, Jos M.

    2015-01-01

    The plant microbiome represents an enormous untapped resource for discovering novel genes and bioactive compounds. Previously, we isolated Pseudomonas sp. SH-C52 from the rhizosphere of sugar beet plants grown in a soil suppressive to the fungal pathogen Rhizoctonia solani and showed that its antifungal activity is, in part, attributed to the production of the chlorinated 9-amino-acid lipopeptide thanamycin (Mendes et al., 2011). To get more insight into its biosynthetic repertoire, the genome of Pseudomonas sp. SH-C52 was sequenced and subjected to in silico, mutational and functional analyses. The sequencing revealed a genome size of 6.3 Mb and 5579 predicted ORFs. Phylogenetic analysis placed strain SH-C52 within the Pseudomonas corrugata clade. In silico analysis for secondary metabolites revealed a total of six non-ribosomal peptide synthetase (NRPS) gene clusters, including the two previously described NRPS clusters for thanamycin and the 2-amino acid antibacterial lipopeptide brabantamide. Here we show that thanamycin also has activity against an array of other fungi and that brabantamide A exhibits anti-oomycete activity and affects phospholipases of the late blight pathogen Phytophthora infestans. Most notably, mass spectrometry led to the discovery of a third lipopeptide, designated thanapeptin, with a 22-amino-acid peptide moiety. Seven structural variants of thanapeptin were found with varying degrees of activity against P. infestans. Of the remaining four NRPS clusters, one was predicted to encode for yet another and unknown lipopeptide with a predicted peptide moiety of 8-amino acids. Collectively, these results show an enormous metabolic potential for Pseudomonas sp. SH-C52, with at least three structurally diverse lipopeptides, each with a different antimicrobial activity spectrum. PMID:26217324

  4. Biosynthesis of Antibiotic Leucinostatins in Bio-control Fungus Purpureocillium lilacinum and Their Inhibition on Phytophthora Revealed by Genome Mining

    PubMed Central

    Li, Erfeng; Mao, Zhenchuan; Ling, Jian; Yang, Yuhong; Yin, Wen-Bing; Xie, Bingyan

    2016-01-01

    Purpureocillium lilacinum of Ophiocordycipitaceae is one of the most promising and commercialized agents for controlling plant parasitic nematodes, as well as other insects and plant pathogens. However, how the fungus functions at the molecular level remains unknown. Here, we sequenced two isolates (PLBJ-1 and PLFJ-1) of P. lilacinum from different places Beijing and Fujian. Genomic analysis showed high synteny of the two isolates, and the phylogenetic analysis indicated they were most related to the insect pathogen Tolypocladium inflatum. A comparison with other species revealed that this fungus was enriched in carbohydrate-active enzymes (CAZymes), proteases and pathogenesis related genes. Whole genome search revealed a rich repertoire of secondary metabolites (SMs) encoding genes. The non-ribosomal peptide synthetase LcsA, which is comprised of ten C-A-PCP modules, was identified as the core biosynthetic gene of lipopeptide leucinostatins, which was specific to P. lilacinum and T. ophioglossoides, as confirmed by phylogenetic analysis. Furthermore, gene expression level was analyzed when PLBJ-1 was grown in leucinostatin-inducing and non-inducing medium, and 20 genes involved in the biosynthesis of leucionostatins were identified. Disruption mutants allowed us to propose a putative biosynthetic pathway of leucinostatin A. Moreover, overexpression of the transcription factor lcsF increased the production (1.5-fold) of leucinostatins A and B compared to wild type. Bioassays explored a new bioactivity of leucinostatins and P. lilacinum: inhibiting the growth of Phytophthora infestans and P. capsici. These results contribute to our understanding of the biosynthetic mechanism of leucinostatins and may allow us to utilize P. lilacinum better as bio-control agent. PMID:27416025

  5. Recursive rational choice

    SciTech Connect

    Lewis, A.A.

    1981-11-01

    It is the purpose of the present study to indicate the means by which Kramer's results may be generalized to considerations of stronger computing devices than the finite state automata considered in Kramer's approach, and to domains of alternatives having the cardinality of the continuum. The means we employ in the approach makes use of the theory of recursive functions in the context of Church's Thesis. The result, which we consider as a preliminary result to a more general research program, shows that a choice function that is rational in the sense of Richter (not necessarily regular) when defined on a restricted family of subsets of a continuum of alternatives, when recursively represented by a partial predicate on equivalence classes of approximations by rational numbers, is recursively unsolvable. By way of Church's Thesis, therefore, such a function cannot be realized by means of a very general class of effectively computable procedures. An additional consequence that can be derived from the result of recursive unsolvability of rational choice in this setting is the placement of a minimal bound on the amount of computational complexity entailed by effective realizations of rational choice.

  6. Rational Emotive Education

    ERIC Educational Resources Information Center

    Knaus, William

    1977-01-01

    Rational Emotive Education--an outgrowth of theories developed by Albert Ellis--is a teaching design of mental health concepts and problem-solving activities designed to help students to approach and cope with their problems through experiential learning, via a structured, thematic sequence of emotive education lessons. (MJB)

  7. Rationality and social behavior.

    PubMed

    Tullberg, Jan

    2003-10-21

    This article penetrates the relationship between social behavior and rationality. A critical analysis is made of efforts to classify some behaviors as altruistic, as they simultaneously meet criteria of rationality by not truly being self-destructive. Newcomb's paradox is one attempt to create a hybrid behavior that is both irrational and still meets some criterion of rationality. Such dubious rationality is often seen as a source of altruistic behavior. Group selection is a controversial topic. Sober and Wilson (Unto Others--The Evolution and Psychology of Unselfish Behavior, Harvard University Press, Cambridge, MA, 1998) suggest that a very wide concept of group selection might be used to explain altruism. This concept also includes kin selection and reciprocity, which blurs its focus. The latter mechanisms hardly need further arguments to prove their existence. This article suggests that it is group selection in a strict sense that should be investigated to limit semantic neologism and confusion. In evaluation, the effort to muster a mechanism for altruism out of group selection has not been successful. However, this is not the end to group selection, but rather a good reason to investigate more promising possibilities. There is little reason to burden group selection with the instability of altruism caused by altruistic members of a group having lower fitness than egoistic members. Group selection is much more likely to develop in combination with group egoism. A common project is supported by incitement against free riding, where conformist members joined in solidarity achieve a higher fitness than members pursuing more individualistic options. Group egoism is in no conflict with rationality, and the effects of group selection will be supported rather than threatened by individual selection. Empirical evidence indicates a high level of traits such as conformism and out-group antagonism in line with group egoism. These traits are also likely candidates for

  8. Genome mining of astaxanthin biosynthetic genes from Sphingomonas sp. ATCC 55669 for heterologous overproduction in Escherichia coli.

    PubMed

    Ma, Tian; Zhou, Yuanjie; Li, Xiaowei; Zhu, Fayin; Cheng, Yongbo; Liu, Yi; Deng, Zixin; Liu, Tiangang

    2016-02-01

    As a highly valued keto-carotenoid, astaxanthin is widely used in nutritional supplements and pharmaceuticals. Therefore, the demand for biosynthetic astaxanthin and improved efficiency of astaxanthin biosynthesis has driven the investigation of metabolic engineering of native astaxanthin producers and heterologous hosts. However, microbial resources for astaxanthin are limited. In this study, we found that the α-Proteobacterium Sphingomonas sp. ATCC 55669 could produce astaxanthin naturally. We used whole-genome sequencing to identify the astaxanthin biosynthetic pathway using a combined PacBio-Illumina approach. The putative astaxanthin biosynthetic pathway in Sphingomonas sp. ATCC 55669 was predicted. For further confirmation, a high-efficiency targeted engineering carotenoid synthesis platform was constructed in E. coli for identifying the functional roles of candidate genes. All genes involved in astaxanthin biosynthesis showed discrete distributions on the chromosome. Moreover, the overexpression of exogenous E. coli idi in Sphingomonas sp. ATCC 55669 increased astaxanthin production by 5.4-fold. This study described a new astaxanthin producer and provided more biosynthesis components for bioengineering of astaxanthin in the future. PMID:26580858

  9. Rational enzyme redesign

    SciTech Connect

    Ornstein, R.L.

    1994-05-01

    Protein engineering is first a means of elucidating structure-function relations in an enzyme, and second, a means of changing a protein to make it serve a different, but generally related, purpose. In principle, one may change the functional characteristics of an enzyme by altering its substrate specificity, kinetics, optimum range of activity, and chemical mechanism. Obviously one cannot make all possible combinations of amino acid changes for even the smallest enzyme, so the essential question is which changes to make. The intent of rational protein/enzyme redesign is to alter a protein/enzyme in a timely and premeditated fashion. This article provides an outline of the process of rational enzyme redesign.

  10. RATIONAL SPLINE SUBROUTINES

    NASA Technical Reports Server (NTRS)

    Schiess, J. R.

    1994-01-01

    Scientific data often contains random errors that make plotting and curve-fitting difficult. The Rational-Spline Approximation with Automatic Tension Adjustment algorithm lead to a flexible, smooth representation of experimental data. The user sets the conditions for each consecutive pair of knots:(knots are user-defined divisions in the data set) to apply no tension; to apply fixed tension; or to determine tension with a tension adjustment algorithm. The user also selects the number of knots, the knot abscissas, and the allowed maximum deviations from line segments. The selection of these quantities depends on the actual data and on the requirements of a particular application. This program differs from the usual spline under tension in that it allows the user to specify different tension values between each adjacent pair of knots rather than a constant tension over the entire data range. The subroutines use an automatic adjustment scheme that varies the tension parameter for each interval until the maximum deviation of the spline from the line joining the knots is less than or equal to a user-specified amount. This procedure frees the user from the drudgery of adjusting individual tension parameters while still giving control over the local behavior of the spline The Rational Spline program was written completely in FORTRAN for implementation on a CYBER 850 operating under NOS. It has a central memory requirement of approximately 1500 words. The program was released in 1988.

  11. Rational management of epilepsy.

    PubMed

    Viswanathan, Venkataraman

    2014-09-01

    Management of epilepsies in children has improved considerably over the last decade, all over the world due to the advances seen in the understanding of the patho-physiology of epileptogenesis, availability of both structural and functional imaging studies along with better quality EEG/video-EEG recordings and the availability of a plethora of newer anti-epileptic drugs which are tailormade to act on specific pathways. In spite of this, there is still a long way to go before one is able to be absolutely rational about which drug to use for which type of epilepsy. There have been a lot of advances in the area of epilepsy surgery and is certainly gaining ground for specific cases. Better understanding of the genetic basis of epilepsies will hopefully lead to a more rational treatment plan in the future. Also, a lot of work needs to be done to dispel various misunderstandings and myths about epilepsy which still exists in our country. PMID:24871077

  12. Genome mining for new α-amylase and glucoamylase encoding sequences and high level expression of a glucoamylase from Talaromyces stipitatus for potential raw starch hydrolysis.

    PubMed

    Xiao, Zhizhuang; Wu, Meiqun; Grosse, Stephan; Beauchemin, Manon; Lévesque, Michelle; Lau, Peter C K

    2014-01-01

    Mining fungal genomes for glucoamylase and α-amylase encoding sequences led to the selection of 23 candidates, two of which (designated TSgam-2 and NFamy-2) were advanced to testing for cooked or raw starch hydrolysis. TSgam-2 is a 66-kDa glucoamylase recombinantly produced in Pichia pastoris and originally derived for Talaromyces stipitatus. When harvested in a 20-L bioreactor at high cell density (OD600 > 200), the secreted TSgam-2 enzyme activity from P. pastoris strain GS115 reached 800 U/mL. In a 6-L working volume of a 10-L fermentation, the TSgam-2 protein yield was estimated to be ∼8 g with a specific activity of 360 U/mg. In contrast, the highest activity of NFamy-2, a 70-kDa α-amylase originally derived from Neosartorya fischeri, and expressed in P. pastoris KM71 only reached 8 U/mL. Both proteins were purified and characterized in terms of pH and temperature optima, kinetic parameters, and thermostability. TSgam-2 was more thermostable than NFamy-2 with a respective half-life (t1/2) of >300 min at 55 °C and >200 min at 40 °C. The kinetic parameters for raw starch adsorption of TSgam-2 and NFamy-2 were also determined. A combination of NFamy-2 and TSgam-2 hydrolyzed cooked potato and triticale starch into glucose with yields, 71-87 %, that are competitive with commercially available α-amylases. In the hydrolysis of raw starch, the best hydrolysis condition was seen with a sequential addition of 40 U of a thermostable Bacillus globigii amylase (BgAmy)/g starch at 80 °C for 16 h, and 40 U TSgam-2/g starch at 45 °C for 24 h. The glucose released was 8.7 g/10 g of triticale starch and 7.9 g/10 g of potato starch, representing 95 and 86 % of starch degradation rate, respectively. PMID:24046254

  13. Rational Approximations to Rational Models: Alternative Algorithms for Category Learning

    ERIC Educational Resources Information Center

    Sanborn, Adam N.; Griffiths, Thomas L.; Navarro, Daniel J.

    2010-01-01

    Rational models of cognition typically consider the abstract computational problems posed by the environment, assuming that people are capable of optimally solving those problems. This differs from more traditional formal models of cognition, which focus on the psychological processes responsible for behavior. A basic challenge for rational models…

  14. Longwall mining

    SciTech Connect

    1995-03-14

    As part of EIA`s program to provide information on coal, this report, Longwall-Mining, describes longwall mining and compares it with other underground mining methods. Using data from EIA and private sector surveys, the report describes major changes in the geologic, technological, and operating characteristics of longwall mining over the past decade. Most important, the report shows how these changes led to dramatic improvements in longwall mining productivity. For readers interested in the history of longwall mining and greater detail on recent developments affecting longwall mining, the report includes a bibliography.

  15. Genome Informatics

    PubMed Central

    Winslow, Raimond L.; Boguski, Mark S.

    2005-01-01

    This article reviews recent advances in genomics and informatics relevant to cardiovascular research. In particular, we review the status of (1) whole genome sequencing efforts in human, mouse, rat, zebrafish, and dog; (2) the development of data mining and analysis tools; (3) the launching of the National Heart, Lung, and Blood Institute Programs for Genomics Applications and Proteomics Initiative; (4) efforts to characterize the cardiac transcriptome and proteome; and (5) the current status of computational modeling of the cardiac myocyte. In each instance, we provide links to relevant sources of information on the World Wide Web and critical appraisals of the promises and the challenges of an expanding and diverse information landscape. PMID:12750305

  16. Mining with microbes

    SciTech Connect

    Rawlings., D.E.; Silver, S.

    1995-08-01

    Microbes are playing increasingly important roles in commercial mining operations, where they are being used in the {open_quotes}bioleaching{close_quotes} of copper, uranium, and gold ores. Direct leaching is when microbial metabolism changes the redox state of the metal being harvested, rendering it more soluble. Indirect leaching includes redox chemistry of other metal cations that are then coupled in chemical oxidation or reduction of the harvested metal ion and microbial attack upon and solubilization of the mineral matrix in which the metal is physically embedded. In addition, bacterial cells are used to detoxify the waste cyanide solution from gold-mining operations and as {open_quotes}absorbants{close_quotes} of the mineral cations. Bacterial cells may replace activated carbon or alternative biomass. With an increasing understanding of microbial physiology, biochemistry and molecular genetics, rational approaches to improving these microbial activities become possible. 40 refs., 3 figs.

  17. The Necessity of Public Relations for Sustainable Mining Activities

    NASA Astrophysics Data System (ADS)

    Lee, Hyunbock; Ji, Sangwoo

    2015-04-01

    other hand, in the survey to determine what the greatest difficulties of the current mining activities, 54% of mining companies chose environmental regulations, 26% of mining companies chose conflicts between mine area residents and mining companies. Environmental regulations are may defined as the greatest difficulty of current mining activities. But most of environmental regulation's problems are caused by frictions with residents, because all of South Korean mines are very close to villages. So, the biggest difficulty of mining activities can be defined conflicts between residents and mining companies. Moreover, general people in South Korea including some mining engineers recognize the mining industry as a declined and pollution industry. Without clear understanding of mining activities, any mine developments and policies related to mining activities cannot be made by rational discussions. And, if their recognition is not formed in a rational way, it will be turned to extreme fear or blind hatred. Therefore, to understand mining activities correctly, the effective public relations strategy is necessary such as corporate advertisements or public advertisements.

  18. Reasoning, decision making and rationality.

    PubMed

    Evans, J S; Over, D E; Manktelow, K I

    1993-01-01

    It is argued that reasoning in the real world supports decision making and is aimed at the achievement of goals. A distinction is developed between two notions of rationality: rationality which is reasoning in such a way as to achieve one's goals--within cognitive constraints--and rationality which is reasoning by a process of logic. This dichotomy is related to the philosophical distinction between practical and theoretical reasoning. It is argued that logicality (rationality) does not provide a good basis for rationality and some psychological research on deductive reasoning is re-examined in this light. First, we review belief bias effects in syllogistic reasoning, and argue that the phenomena do not support the interpretations of irrationality that are often placed upon them. Second, we review and discuss recent studies of deontic reasoning in the Wason selection task, which demonstrate the decision making, and rational nature of reasoning in realistic contexts. The final section of the paper examines contemporary decision theory and shows how it fails, in comparable manner to formal logic, to provide an adequate model for assessing the rationality of human reasoning and decision making. PMID:8287673

  19. Detoxifying the concept of rationing.

    PubMed

    Sabin, James

    2014-01-01

    Andrew Hantel's proposal for dealing with cancer drug shortages exemplifies the kind of clinician-led discussion of rationing the U.S. political process requires. I argue that the U.S. will not get a grip on healthcare cost escalation until we set true budgets for healthcare. We will not be able to do that until the public accepts that rationing, done right, is an ethical necessity, not an ethical abomination. Because endorsing rationing is a third rail for politicians, "top down" leadership is currently impossible. As a result, health professionals must lead a "bottom up" educational process. Hantel shows how this can be done. PMID:24972061

  20. Web Mining

    NASA Astrophysics Data System (ADS)

    Fürnkranz, Johannes

    The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage mining.

  1. Data Mining.

    ERIC Educational Resources Information Center

    Benoit, Gerald

    2002-01-01

    Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…

  2. Text Mining.

    ERIC Educational Resources Information Center

    Trybula, Walter J.

    1999-01-01

    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  3. Managed care and efficient rationing.

    PubMed

    Rosenthal, Meredith B; Newhouse, Joseph P

    2002-01-01

    Widespread dissatisfaction with managed care has led to calls for major reform and consumer protection. Although some have concluded that managed care backlash is simply a result of too much rationing, we propose an alternative view that focuses on the nature of services eliminated by managed care. In particular, we point out that managed care rations services largely without regard to consumer preferences. We question whether managed care's emphasis on supply-side control of moral hazard is consistent with the principles of efficient rationing. Further research on the nature of provider and consumer rationing decisions is needed to inform the design of supply-side and demand-side incentives that will lead to an efficient allocation of services. PMID:12148660

  4. The rationing agenda in the NHS. Rationing Agenda Group.

    PubMed

    New, B

    1996-06-22

    The Rationing Agenda Group has been founded to deepen the British debate on rationing health care. It believes that rationing in health care is inevitable and that the public must be involved in the debate about issues relating to rationing. The group comprises people from all parts of health care, none of whom represent either their group or their institutions. RAG has begun by producing this document, which attempts to set an agenda of all the issues that need to be considered when debating the rationing of health care. We hope for responses to the document. The next stage will be to incorporate the responses into the agenda. Then RAG will divide the agenda into manageable chunks and commission expert, detailed commentaries. From this material a final paper will be published and used to prompt public debate. This stage should be reached early in 1997. While these papers are being prepared RAG is developing ways to involve the public in the debate and evaluate the whole process. We present as neutrally as possible all the issues related to rationing and priority setting in the NHS. We focus on the NHS for two reasons. Firstly, for those of us resident in the United Kingdom the NHS is the health care system with which we are most familiar and most concerned. Secondly, focusing on one system alone allows more coherent analysis than would be possible if issues in other systems were included as well. Our concern is with the delivery of health care, not its finance, though we discuss the possible effects of changing the financing system of the NHS. Finally, though our position is neutral, we hold two substantive views--namely, that rationing is unavoidable and that there should be more explicit debate about the principles and issues concerned. We consider the issues under four headings: preliminaries, ethics, democracy, and empirical questions. Preliminaries deal with the semantics of rationing, whether rationing is necessary, and with the range of services to which

  5. The rationing agenda in the NHS. Rationing Agenda Group.

    PubMed Central

    New, B.

    1996-01-01

    The Rationing Agenda Group has been founded to deepen the British debate on rationing health care. It believes that rationing in health care is inevitable and that the public must be involved in the debate about issues relating to rationing. The group comprises people from all parts of health care, none of whom represent either their group or their institutions. RAG has begun by producing this document, which attempts to set an agenda of all the issues that need to be considered when debating the rationing of health care. We hope for responses to the document. The next stage will be to incorporate the responses into the agenda. Then RAG will divide the agenda into manageable chunks and commission expert, detailed commentaries. From this material a final paper will be published and used to prompt public debate. This stage should be reached early in 1997. While these papers are being prepared RAG is developing ways to involve the public in the debate and evaluate the whole process. We present as neutrally as possible all the issues related to rationing and priority setting in the NHS. We focus on the NHS for two reasons. Firstly, for those of us resident in the United Kingdom the NHS is the health care system with which we are most familiar and most concerned. Secondly, focusing on one system alone allows more coherent analysis than would be possible if issues in other systems were included as well. Our concern is with the delivery of health care, not its finance, though we discuss the possible effects of changing the financing system of the NHS. Finally, though our position is neutral, we hold two substantive views--namely, that rationing is unavoidable and that there should be more explicit debate about the principles and issues concerned. We consider the issues under four headings: preliminaries, ethics, democracy, and empirical questions. Preliminaries deal with the semantics of rationing, whether rationing is necessary, and with the range of services to which

  6. Mining conifers’ mega-genome using rapid and efficient multiplexed high-throughput genotyping-by-sequencing (GBS) SNP discovery platform

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Next-generation sequencing (NGS) technologies are revolutionizing both medical and biological research through generation of massive SNP data sets for identifying heritable genome variation underlying key traits, from rare human diseases to important agronomic phenotypes in crop species. We evaluate...

  7. Mine system

    SciTech Connect

    Stoppani, B.R.

    1983-10-04

    A mine system comprises at least one mining machine adapted to haul itself, in a reciprocating manner, along a mineral face, and a control box housing means to control the various electrical elements of the machine(s), the box being located in a mine roadway at one end of the mineral face along which the machine(s) is reciprocating, and the box being electrically connected to a terminal box housed in a body of the machine(s).

  8. Rationalizing the Promotion of Non-Rational Behaviors in Organizations.

    ERIC Educational Resources Information Center

    Smith, Peter A. C.; Sharma, Meenakshi

    2002-01-01

    Organizations must balance rational/technical efficiency and emotions. Action learning has been proven to be effective for developing emotional openness in the workplace. Facilitators of action learning should draw upon the disciplines of counseling, Gestalt, psychodynamics, and Eastern philosophies. (Contains 23 references.) (SK)

  9. Mining a database of single amplified genomes from Red Sea brine pool extremophiles—improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA)

    PubMed Central

    Grötzinger, Stefan W.; Alam, Intikhab; Ba Alawi, Wail; Bajic, Vladimir B.; Stingl, Ulrich; Eppinger, Jörg

    2014-01-01

    Reliable functional annotation of genomic data is the key-step in the discovery of novel enzymes. Intrinsic sequencing data quality problems of single amplified genomes (SAGs) and poor homology of novel extremophile's genomes pose significant challenges for the attribution of functions to the coding sequences identified. The anoxic deep-sea brine pools of the Red Sea are a promising source of novel enzymes with unique evolutionary adaptation. Sequencing data from Red Sea brine pool cultures and SAGs are annotated and stored in the Integrated Data Warehouse of Microbial Genomes (INDIGO) data warehouse. Low sequence homology of annotated genes (no similarity for 35% of these genes) may translate into false positives when searching for specific functions. The Profile and Pattern Matching (PPM) strategy described here was developed to eliminate false positive annotations of enzyme function before progressing to labor-intensive hyper-saline gene expression and characterization. It utilizes InterPro-derived Gene Ontology (GO)-terms (which represent enzyme function profiles) and annotated relevant PROSITE IDs (which are linked to an amino acid consensus pattern). The PPM algorithm was tested on 15 protein families, which were selected based on scientific and commercial potential. An initial list of 2577 enzyme commission (E.C.) numbers was translated into 171 GO-terms and 49 consensus patterns. A subset of INDIGO-sequences consisting of 58 SAGs from six different taxons of bacteria and archaea were selected from six different brine pool environments. Those SAGs code for 74,516 genes, which were independently scanned for the GO-terms (profile filter) and PROSITE IDs (pattern filter). Following stringent reliability filtering, the non-redundant hits (106 profile hits and 147 pattern hits) are classified as reliable, if at least two relevant descriptors (GO-terms and/or consensus patterns) are present. Scripts for annotation, as well as for the PPM algorithm, are available

  10. Rational Suicide among the Elderly.

    ERIC Educational Resources Information Center

    Humphry, Derek

    1992-01-01

    Contends that old age, in and of itself, should never need to be a cause for self-destruction. Further argues that suicide and assisted suicide carried out in the face of terminal illness causing unbearable suffering should be ethically and legally acceptable. Outlines a perspective on rational suicide among the elderly. (Author/NB)

  11. Rational Exponentials and Continued Fractions

    ERIC Educational Resources Information Center

    Denny, J. K.

    2012-01-01

    Using continued fraction expansions, we can approximate constants, such as pi and e, using an appropriate integer n raised to the power x[superscript 1/x], x a suitable rational. We review continued fractions and give an algorithm for producing these approximations.

  12. On Counting the Rational Numbers

    ERIC Educational Resources Information Center

    Almada, Carlos

    2010-01-01

    In this study, we show how to construct a function from the set N of natural numbers that explicitly counts the set Q[superscript +] of all positive rational numbers using a very intuitive approach. The function has the appeal of Cantor's function and it has the advantage that any high school student can understand the main idea at a glance…

  13. Teaching Rational Decision-Making.

    ERIC Educational Resources Information Center

    Woolever, Roberts

    1978-01-01

    Presented is an outline of a college course, "Education in American Society," that focused on teaching students rational decision-making skills while examining current issues in American Education. The outline is followed by student comments, reactions, and evaluations of the course. (JMD)

  14. Life in an Arsenic-Containing Gold Mine: Genome and Physiology of the Autotrophic Arsenite-Oxidizing Bacterium Rhizobium sp. NT-26

    PubMed Central

    Andres, Jérémy; Arsène-Ploetze, Florence; Barbe, Valérie; Brochier-Armanet, Céline; Cleiss-Arnold, Jessica; Coppée, Jean-Yves; Dillies, Marie-Agnès; Geist, Lucie; Joublin, Aurélie; Koechler, Sandrine; Lassalle, Florent; Marchal, Marie; Médigue, Claudine; Muller, Daniel; Nesme, Xavier; Plewniak, Frédéric; Proux, Caroline; Ramírez-Bahena, Martha Helena; Schenowitz, Chantal; Sismeiro, Odile; Vallenet, David; Santini, Joanne M.; Bertin, Philippe N.

    2013-01-01

    Arsenic is widespread in the environment and its presence is a result of natural or anthropogenic activities. Microbes have developed different mechanisms to deal with toxic compounds such as arsenic and this is to resist or metabolize the compound. Here, we present the first reference set of genomic, transcriptomic and proteomic data of an Alphaproteobacterium isolated from an arsenic-containing goldmine: Rhizobium sp. NT-26. Although phylogenetically related to the plant-associated bacteria, this organism has lost the major colonizing capabilities needed for symbiosis with legumes. In contrast, the genome of Rhizobium sp. NT-26 comprises a megaplasmid containing the various genes, which enable it to metabolize arsenite. Remarkably, although the genes required for arsenite oxidation and flagellar motility/biofilm formation are carried by the megaplasmid and the chromosome, respectively, a coordinate regulation of these two mechanisms was observed. Taken together, these processes illustrate the impact environmental pressure can have on the evolution of bacterial genomes, improving the fitness of bacterial strains by the acquisition of novel functions. PMID:23589360

  15. African mining

    SciTech Connect

    Not Available

    1987-01-01

    This book contains papers presented at a conference addressing the development of the minerals industry in Africa. Topics covered include: A review - past, present and future - of Zimbabwe's mining industry; Geomorphological processes and related mineralization in Tanzania; and Rock mechanics investigations at Mufulira mine, Zambia.

  16. Mining online genomic resources in Anolis carolinensis facilitates rapid and inexpensive development of cross-species microsatellite markers for the Anolis lizard genus.

    PubMed

    Wordley, Claire; Slate, Jon; Stapley, Jessica

    2011-01-01

    Online sequence databases can provide valuable resources for the development of cross-species genetic markers. In particular, mining expressed tag sequences (EST) for microsatellites and developing conserved cross-species microsatellite markers can provide a rapid and relatively inexpensive method to develop new markers for a range of species. Here, we adopt this approach to develop cross-species microsatellite markers in Anolis lizards, which is a model genus in evolutionary biology and ecology. Using EST sequences from Anolis carolinensis, we identified 127 microsatellites that satisfied our criteria, and tested 49 of these in five species of Anolis (carolinensis, distichus, apletophallus, porcatus and sagrei). We identified between 8 and 25 new variable genetic markers for five Anolis species. These markers will be a valuable resource for studies of population genetics, comparative mapping, mating systems, behavioural ecology and adaptive radiations in this diverse lineage. PMID:21429109

  17. Characterization of novel wheat NBS domain-containing sequences and their utilization, in silico, for genome-scale R-gene mining.

    PubMed

    Bouktila, Dhia; Habachi-Houimli, Yosra; Khalfallah, Yosra; Mezghani-Khemakhem, Maha; Makni, Mohamed; Makni, Hanem

    2014-08-01

    In crop improvement, the isolation, cloning and transfer of disease resistance genes (R-genes) is an ultimate goal usually starting from tentative R-gene analogs (RGAs) that are identified on the basis of their structure. For bread wheat, recent advances in genome sequencing are supporting the efforts of wheat geneticists worldwide. Among wheat R-genes, nucleotide-binding site (NBS)-encoding ones represent a major class. In this study, we have used a polymerase chain reaction-based approach to amplify and clone NBS-type RGAs from a bread wheat cultivar, 'Salambo 80.' Four novel complete ORF sequences showing similarities to previously reported R-genes/RGAs were used for in silico analyses. In a first step, where analyses were focused on the NBS domain, these sequences were phylogenetically assigned to two distinct groups: a first group close to leaf rust Lr21 resistance proteins; and a second one similar to cyst nematode resistance proteins. In a second step, sequences were used as initial seeds to walk up and downstream the NBS domain. This procedure enabled identifying 8 loci ranging in size between 2,115 and 7,653 bp. Ab initio gene prediction identified 8 gene models, among which two had complete ORFs. While GenBank survey confirmed the belonging of sequences to two groups, subsequent characterization using IWGSC genomic and proteomic data showed that the 8 gene models, reported in this study, were unique and their loci matched scaffolds on chromosome arms 1AS, 1BS, 4BS and 1DS. The gene model located on 1DS is a pseudo-Lr21 that was shown to have an NBS-LRR domain structure, while the potential association of the RGAs, here reported, is discussed. This study has produced novel R-gene-like loci and models in the wheat genome and provides the first steps toward further elucidation of their role in wheat disease resistance. PMID:24638930

  18. Mining new crystal protein genes from Bacillus thuringiensis on the basis of mixed plasmid-enriched genome sequencing and a computational pipeline.

    PubMed

    Ye, Weixing; Zhu, Lei; Liu, Yingying; Crickmore, Neil; Peng, Donghai; Ruan, Lifang; Sun, Ming

    2012-07-01

    We have designed a high-throughput system for the identification of novel crystal protein genes (cry) from Bacillus thuringiensis strains. The system was developed with two goals: (i) to acquire the mixed plasmid-enriched genomic sequence of B. thuringiensis using next-generation sequencing biotechnology, and (ii) to identify cry genes with a computational pipeline (using BtToxin_scanner). In our pipeline method, we employed three different kinds of well-developed prediction methods, BLAST, hidden Markov model (HMM), and support vector machine (SVM), to predict the presence of Cry toxin genes. The pipeline proved to be fast (average speed, 1.02 Mb/min for proteins and open reading frames [ORFs] and 1.80 Mb/min for nucleotide sequences), sensitive (it detected 40% more protein toxin genes than a keyword extraction method using genomic sequences downloaded from GenBank), and highly specific. Twenty-one strains from our laboratory's collection were selected based on their plasmid pattern and/or crystal morphology. The plasmid-enriched genomic DNA was extracted from these strains and mixed for Illumina sequencing. The sequencing data were de novo assembled, and a total of 113 candidate cry sequences were identified using the computational pipeline. Twenty-seven candidate sequences were selected on the basis of their low level of sequence identity to known cry genes, and eight full-length genes were obtained with PCR. Finally, three new cry-type genes (primary ranks) and five cry holotypes, which were designated cry8Ac1, cry7Ha1, cry21Ca1, cry32Fa1, and cry21Da1 by the B. thuringiensis Toxin Nomenclature Committee, were identified. The system described here is both efficient and cost-effective and can greatly accelerate the discovery of novel cry genes. PMID:22544259

  19. Bovine Genome Database: new tools for gleaning function from the Bos taurus genome.

    PubMed

    Elsik, Christine G; Unni, Deepak R; Diesh, Colin M; Tayal, Aditi; Emery, Marianne L; Nguyen, Hung N; Hagen, Darren E

    2016-01-01

    We report an update of the Bovine Genome Database (BGD) (http://BovineGenome.org). The goal of BGD is to support bovine genomics research by providing genome annotation and data mining tools. We have developed new genome and annotation browsers using JBrowse and WebApollo for two Bos taurus genome assemblies, the reference genome assembly (UMD3.1.1) and the alternate genome assembly (Btau_4.6.1). Annotation tools have been customized to highlight priority genes for annotation, and to aid annotators in selecting gene evidence tracks from 91 tissue specific RNAseq datasets. We have also developed BovineMine, based on the InterMine data warehousing system, to integrate the bovine genome, annotation, QTL, SNP and expression data with external sources of orthology, gene ontology, gene interaction and pathway information. BovineMine provides powerful query building tools, as well as customized query templates, and allows users to analyze and download genome-wide datasets. With BovineMine, bovine researchers can use orthology to leverage the curated gene pathways of model organisms, such as human, mouse and rat. BovineMine will be especially useful for gene ontology and pathway analyses in conjunction with GWAS and QTL studies. PMID:26481361

  20. Bovine Genome Database: new tools for gleaning function from the Bos taurus genome

    PubMed Central

    Elsik, Christine G.; Unni, Deepak R.; Diesh, Colin M.; Tayal, Aditi; Emery, Marianne L.; Nguyen, Hung N.; Hagen, Darren E.

    2016-01-01

    We report an update of the Bovine Genome Database (BGD) (http://BovineGenome.org). The goal of BGD is to support bovine genomics research by providing genome annotation and data mining tools. We have developed new genome and annotation browsers using JBrowse and WebApollo for two Bos taurus genome assemblies, the reference genome assembly (UMD3.1.1) and the alternate genome assembly (Btau_4.6.1). Annotation tools have been customized to highlight priority genes for annotation, and to aid annotators in selecting gene evidence tracks from 91 tissue specific RNAseq datasets. We have also developed BovineMine, based on the InterMine data warehousing system, to integrate the bovine genome, annotation, QTL, SNP and expression data with external sources of orthology, gene ontology, gene interaction and pathway information. BovineMine provides powerful query building tools, as well as customized query templates, and allows users to analyze and download genome-wide datasets. With BovineMine, bovine researchers can use orthology to leverage the curated gene pathways of model organisms, such as human, mouse and rat. BovineMine will be especially useful for gene ontology and pathway analyses in conjunction with GWAS and QTL studies. PMID:26481361

  1. Genome Data Mining and Soil Survey for the Novel Group 5 [NiFe]-Hydrogenase To Explore the Diversity and Ecological Importance of Presumptive High-Affinity H2-Oxidizing Bacteria ▿†

    PubMed Central

    Constant, Philippe; Chowdhury, Soumitra Paul; Hesse, Laura; Pratscher, Jennifer; Conrad, Ralf

    2011-01-01

    Streptomyces soil isolates exhibiting the unique ability to oxidize atmospheric H2 possess genes specifying a putative high-affinity [NiFe]-hydrogenase. This study was undertaken to explore the taxonomic diversity and the ecological importance of this novel functional group. We propose to designate the genes encoding the small and large subunits of the putative high-affinity hydrogenase hhyS and hhyL, respectively. Genome data mining revealed that the hhyL gene is unevenly distributed in the phyla Actinobacteria, Proteobacteria, Chloroflexi, and Acidobacteria. The hhyL gene sequences comprised a phylogenetically distinct group, namely, the group 5 [NiFe]-hydrogenase genes. The presumptive high-affinity H2-oxidizing bacteria constituting group 5 were shown to possess a hydrogenase gene cluster, including the genes encoding auxiliary and structural components of the enzyme and four additional open reading frames (ORFs) of unknown function. A soil survey confirmed that both high-affinity H2 oxidation activity and the hhyL gene are ubiquitous. A quantitative PCR assay revealed that soil contained 106 to 108 hhyL gene copies g (dry weight)−1. Assuming one hhyL gene copy per genome, the abundance of presumptive high-affinity H2-oxidizing bacteria was higher than the maximal population size for which maintenance energy requirements would be fully supplied through the H2 oxidation activity measured in soil. Our data indicate that the abundance of the hhyL gene should not be taken as a reliable proxy for the uptake of atmospheric H2 by soil, because high-affinity H2 oxidation is a facultatively mixotrophic metabolism, and microorganisms harboring a nonfunctional group 5 [NiFe]-hydrogenase may occur. PMID:21742924

  2. Draft Genome Sequences of Fungus Aspergillus calidoustus.

    PubMed

    Horn, Fabian; Linde, Jörg; Mattern, Derek J; Walther, Grit; Guthke, Reinhard; Scherlach, Kirstin; Martin, Karin; Brakhage, Axel A; Petzke, Lutz; Valiante, Vito

    2016-01-01

    Here, we report the draft genome sequence of Aspergillus calidoustus (strain SF006504). The functional annotation of A. calidoustus predicts a relatively large number of secondary metabolite gene clusters. The presented genome sequence builds the basis for further genome mining. PMID:26966204

  3. Draft Genome Sequences of Fungus Aspergillus calidoustus

    PubMed Central

    Horn, Fabian; Linde, Jörg; Mattern, Derek J.; Walther, Grit; Guthke, Reinhard; Scherlach, Kirstin; Martin, Karin; Brakhage, Axel A.; Petzke, Lutz

    2016-01-01

    Here, we report the draft genome sequence of Aspergillus calidoustus (strain SF006504). The functional annotation of A. calidoustus predicts a relatively large number of secondary metabolite gene clusters. The presented genome sequence builds the basis for further genome mining. PMID:26966204

  4. Mining microsatellites in the peach genome: development of new long-core SSR markers for genetic analyses in five Prunus species.

    PubMed

    Dettori, Maria Teresa; Micali, Sabrina; Giovinazzi, Jessica; Scalabrin, Simone; Verde, Ignazio; Cipriani, Guido

    2015-01-01

    A wide inventory of molecular markers is nowadays available for individual fingerprinting. Microsatellites, or simple sequence repeats (SSRs), play a relevant role due to their relatively ease of use, their abundance in the plant genomes, and their co-dominant nature, together with the availability of primer sequences in many important agricultural crops. Microsatellites with long-core motifs are more easily scored and were adopted long ago in human genetics but they were developed only in few crops, and Prunus species are not among them. In the present work the peach whole-genome sequence was used to select 216 SSRs containing long-core motifs with tri-, tetra- and penta-nucleotide repeats. Microsatellite primer pairs were designed and tested for polymorphism in the five diploid Prunus species of economic relevance (almond, apricot, Japanese plum, peach and sweet cherry). A set of 26 microsatellite markers covering all the eight chromosomes, was also selected and used in the molecular characterization, population genetics and structure analyses of a representative sample of the five diploid Prunus species, assessing their transportability and effectiveness. The combined probability of identity between two random individuals for the whole set of 26 SSRs was quite low, ranging from 2.30 × 10(-7) in peach to 9.48 × 10(-10) in almond, confirming the usefulness of the proposed set for fingerprinting analyses in Prunus species. PMID:26185739

  5. Mining whole genomes and transcriptomes of Jatropha (Jatropha curcas) and Castor bean (Ricinus communis) for NBS-LRR genes and defense response associated transcription factors.

    PubMed

    Sood, Archit; Jaiswal, Varun; Chanumolu, Sree Krishna; Malhotra, Nikhil; Pal, Tarun; Chauhan, Rajinder Singh

    2014-11-01

    Jatropha (Jatropha curcas L.) and Castor bean (Ricinus communis) are oilseed crops of family Euphorbiaceae with the potential of producing high quality biodiesel and having industrial value. Both the bioenergy plants are becoming susceptible to various biotic stresses directly affecting the oil quality and content. No report exists as of today on analysis of Nucleotide Binding Site-Leucine Rich Repeat (NBS-LRR) gene repertoire and defense response transcription factors in both the plant species. In silico analysis of whole genomes and transcriptomes identified 47 new NBS-LRR genes in both the species and 122 and 318 defense response related transcription factors in Jatropha and Castor bean, respectively. The identified NBS-LRR genes and defense response transcription factors were mapped onto the respective genomes. Common and unique NBS-LRR genes and defense related transcription factors were identified in both the plant species. All NBS-LRR genes in both the species were characterized into Toll/interleukin-1 receptor NBS-LRRs (TNLs) and coiled-coil NBS-LRRs (CNLs), position on contigs, gene clusters and motifs and domains distribution. Transcript abundance or expression values were measured for all NBS-LRR genes and defense response transcription factors, suggesting their functional role. The current study provides a repertoire of NBS-LRR genes and transcription factors which can be used in not only dissecting the molecular basis of disease resistance phenotype but also in developing disease resistant genotypes in Jatropha and Castor bean through transgenic or molecular breeding approaches. PMID:25106526

  6. Mining apparatus

    SciTech Connect

    Ingle, J.E.; Lane, A.J.; Mcgee, D.A.

    1981-03-10

    An improved mining apparatus for excavating material, such as coal, for example, from an earth formation, such as a coal seam, for example, wherein a miner, having a forward and a rearward cutter, is guided through the coal seam and excavates a borehole therein, the borehole being filled with a working fluid during the operation of the miner, the working fluid facilitating the operation of the miner and providing a vehicle for removing the mined material. Substantially all of the operations of the miner are controlled from the earth's surface thereby eliminating the necessity and accompanying hazards and costs involved in utilizing personnel underground during the mining operations.

  7. Psychology and the Rationality of Emotion*

    PubMed Central

    Clore, Gerald L.

    2014-01-01

    Questions addressed by recent psychological research on emotion include questions about how thought shapes emotion and how emotion, in turn, shapes thought. Research on emotion and cognition paints a somewhat different picture than that seen in traditional discussions of passion and reason. This article reviews several aspects of this research, concentrating specifically on three views of rationality: Rationality as Process, Rationality as Product, and Rationality as Outcome. PMID:25125770

  8. Rationality and the Logic of Good Reasons.

    ERIC Educational Resources Information Center

    Fisher, Walter R.

    This paper contends that the rationality of the logic of good reasons is constituted in its use. To support this claim, the paper presents an analysis of the relationship between being reasonable and being rational. It then considers how following the logic of good reasons leads to rationality in the behavior of individuals and groups; the latter…

  9. Rational Thinking in School-Based Practice

    ERIC Educational Resources Information Center

    Clark, Mary Kristen; Flynn, Perry

    2011-01-01

    Purpose: We reflect on Alan Kamhi's (2011) prologue on balancing certainty and uncertainty as it pertains to school-based practice. Method: In schools, rational thinking depends on effective team processes, much like professional learning communities. We consider the conditions that are required for rational thinking and how rational team dialogue…

  10. Book Selection, Collection Development, and Bounded Rationality.

    ERIC Educational Resources Information Center

    Schwartz, Charles A.

    1989-01-01

    Reviews previously proposed schemes of classical rationality in book selection, describes new approaches to rational choice behavior, and presents a model of book selection based on bounded rationality in a garbage can decision process. The role of tacit knowledge and symbolic content in the selection process are also discussed. (102 references)…

  11. Databases and data mining for computational vaccinology.

    PubMed

    Flower, Darren R

    2003-05-01

    Drugs and vaccines are keys to the effective fight against disease. While the pharmaceutical industry has developed an awesome array of real and virtual approaches to rational drug discovery, the complexity of the immune system hampers attempts to design and develop vaccines in a rational manner. The goal of immunoinformatics (the application of informatics techniques to immunological macromolecules), an emergent sub-discipline of bioinformatics, is to develop computational vaccinology as a potent tool in the quest for new vaccines. Databases and data mining, the two principal weapons at the disposal of the in silico vaccinologist, will be presented in the light of current developments. PMID:12833673

  12. RELATIONSHIP BETWEEN PHYLOGENETIC DISTRIBUTION AND GENOMIC FEATURES IN NEUROSPORA CRASSA

    Technology Transfer Automated Retrieval System (TEKTRAN)

    In the post-genome era, insufficient functional annotation of predicted genes greatly restricts the potential of mining genome data. We demonstrate that an evolutionary approach, which is independent of functional annotation, has great potential as a tool for genome analysis. We chose the genome o...

  13. Resistance Gene-Guided Genome Mining: Serial Promoter Exchanges in Aspergillus nidulans Reveal the Biosynthetic Pathway for Fellutamide B, a Proteasome Inhibitor.

    PubMed

    Yeh, Hsu-Hua; Ahuja, Manmeet; Chiang, Yi-Ming; Oakley, C Elizabeth; Moore, Shauna; Yoon, Olivia; Hajovsky, Heather; Bok, Jin-Woo; Keller, Nancy P; Wang, Clay C C; Oakley, Berl R

    2016-08-19

    Fungal genome projects are revealing thousands of cryptic secondary metabolism (SM) biosynthetic gene clusters that encode pathways that potentially produce valuable compounds. Heterologous expression systems should allow these clusters to be expressed and their products obtained, but approaches are needed to identify the most valuable target clusters. The inp cluster of Aspergillus nidulans contains a gene, inpE, that encodes a proteasome subunit, leading us to hypothesize that the inp cluster produces a proteasome inhibitor and inpE confers resistance to this compound. Previous efforts to express this cluster have failed, but by sequentially replacing the promoters of the genes of the cluster with a regulatable promotor, we have expressed them successfully. Expression reveals that the product of the inp cluster is the proteasome inhibitor fellutamide B, and our data allow us to propose a biosynthetic pathway for the compound. By deleting inpE and activating expression of the inp cluster, we demonstrate that inpE is required for resistance to internally produced fellutamide B. These data provide experimental validation for the hypothesis that some fungal SM clusters contain genes that encode resistant forms of the enzymes targeted by the compound produced by the cluster. PMID:27294372

  14. Genome mining in Sorangium cellulosum So ce56: identification and characterization of the homologous electron transfer proteins of a myxobacterial cytochrome P450.

    PubMed

    Ewen, Kerstin Maria; Hannemann, Frank; Khatri, Yogan; Perlova, Olena; Kappl, Reinhard; Krug, Daniel; Hüttermann, Jürgen; Müller, Rolf; Bernhardt, Rita

    2009-10-16

    Myxobacteria, especially members of the genus Sorangium, are known for their biotechnological potential as producers of pharmaceutically valuable secondary metabolites. The biosynthesis of several of those myxobacterial compounds includes cytochrome P450 activity. Although class I cytochrome P450 enzymes occur wide-spread in bacteria and rely on ferredoxins and ferredoxin reductases as essential electron mediators, the study of these proteins is often neglected. Therefore, we decided to search in the Sorangium cellulosum So ce56 genome for putative interaction partners of cytochromes P450. In this work we report the investigation of eight myxobacterial ferredoxins and two ferredoxin reductases with respect to their activity in cytochrome P450 systems. Intriguingly, we found not only one, but two ferredoxins whose ability to sustain an endogenous So ce56 cytochrome P450 was demonstrated by CYP260A1-dependent conversion of nootkatone. Moreover, we could demonstrate that the two ferredoxins were able to receive electrons from both ferredoxin reductases. These findings indicate that S. cellulosum can alternate between different electron transport pathways to sustain cytochrome P450 activity. PMID:19696019

  15. Coastal mining

    NASA Astrophysics Data System (ADS)

    Bell, Peter M.

    The Exclusive Economic Zone (EEZ) declared by President Reagan in March 1983 has met with a mixed response from those who would benefit from a guaranteed, 200-nautical-mile (370-km) protected underwater mining zone off the coasts of the United States and its possessions. On the one hand, the U.S. Department of the Interior is looking ahead and has been very successful in safeguarding important natural resources that will be needed in the coming decades. On the other hand, the mining industry is faced with a depressed metals and mining market.A report of the Exclusive Economic Zone Symposium held in November 1983 by the U.S. Geological Survey, the Mineral Management Service, and the Bureau of Mines described the mixed response as: “ … The Department of Interior … raring to go into promotion of deep-seal mining but industrial consortia being very pessimistic about the program, at least for the next 30 or so years.” (Chemical & Engineering News, February 5, 1983).

  16. In silico genome wide mining of conserved and novel miRNAs in the brain and pineal gland of Danio rerio using small RNA sequencing data.

    PubMed

    Agarwal, Suyash; Nagpure, Naresh Sahebrao; Srivastava, Prachi; Kushwaha, Basdeo; Kumar, Ravindra; Pandey, Manmohan; Srivastava, Shreya

    2016-03-01

    MicroRNAs (miRNAs) are small, non-coding RNA molecules that bind to the mRNA of the target genes and regulate the expression of the gene at the post-transcriptional level. Zebrafish is an economically important freshwater fish species globally considered as a good predictive model for studying human diseases and development. The present study focused on uncovering known as well as novel miRNAs, target prediction of the novel miRNAs and the differential expression of the known miRNA using the small RNA sequencing data of the brain and pineal gland (dark and light treatments) obtained from NCBI SRA. A total of 165, 151 and 145 known zebrafish miRNAs were found in the brain, pineal gland (dark treatment) and pineal gland (light treatment), respectively. Chromosomes 4 and 5 of zebrafish reference assembly GRCz10 were found to contain maximum number of miR genes. The miR-181a and miR-182 were found to be highly expressed in terms of number of reads in the brain and pineal gland, respectively. Other ncRNAs, such as tRNA, rRNA and snoRNA, were curated against Rfam. Using GRCz10 as reference, the subsequent bioinformatic analyses identified 25, 19 and 9 novel miRNAs from the brain, pineal gland (dark treatment) and pineal gland (light treatment), respectively. Targets of the novel miRNAs were identified, based on sequence complementarity between miRNAs and mRNA, by searching for antisense hits in the 3'-UTR of reference RNA sequences of the zebrafish. The discovery of novel miRNAs and their targets in the zebrafish genome can be a valuable scientific resource for further functional studies not only in zebrafish but also in other economically important fishes. PMID:26981358

  17. In silico genome wide mining of conserved and novel miRNAs in the brain and pineal gland of Danio rerio using small RNA sequencing data

    PubMed Central

    Agarwal, Suyash; Nagpure, Naresh Sahebrao; Srivastava, Prachi; Kushwaha, Basdeo; Kumar, Ravindra; Pandey, Manmohan; Srivastava, Shreya

    2015-01-01

    MicroRNAs (miRNAs) are small, non-coding RNA molecules that bind to the mRNA of the target genes and regulate the expression of the gene at the post-transcriptional level. Zebrafish is an economically important freshwater fish species globally considered as a good predictive model for studying human diseases and development. The present study focused on uncovering known as well as novel miRNAs, target prediction of the novel miRNAs and the differential expression of the known miRNA using the small RNA sequencing data of the brain and pineal gland (dark and light treatments) obtained from NCBI SRA. A total of 165, 151 and 145 known zebrafish miRNAs were found in the brain, pineal gland (dark treatment) and pineal gland (light treatment), respectively. Chromosomes 4 and 5 of zebrafish reference assembly GRCz10 were found to contain maximum number of miR genes. The miR-181a and miR-182 were found to be highly expressed in terms of number of reads in the brain and pineal gland, respectively. Other ncRNAs, such as tRNA, rRNA and snoRNA, were curated against Rfam. Using GRCz10 as reference, the subsequent bioinformatic analyses identified 25, 19 and 9 novel miRNAs from the brain, pineal gland (dark treatment) and pineal gland (light treatment), respectively. Targets of the novel miRNAs were identified, based on sequence complementarity between miRNAs and mRNA, by searching for antisense hits in the 3′-UTR of reference RNA sequences of the zebrafish. The discovery of novel miRNAs and their targets in the zebrafish genome can be a valuable scientific resource for further functional studies not only in zebrafish but also in other economically important fishes. PMID:26981358

  18. Rational Prescription for a Dermatologist

    PubMed Central

    Prakash, Bhanu; Nadig, Prathiba; Nayak, Amitha

    2016-01-01

    The ultimate goal in dermatological therapy is to use the safest and least number of drugs in order to obtain the best possible effect in the shortest period and at reasonable cost. Rational drug use (RDU) is conventionally defined as the use of an appropriate, efficacious, safe and cost-effective drug given for the right indications in the right dose and formulation, at right time intervals. WHO estimates that more than half of all medicines are prescribed, dispensed or sold inappropriately, and that half of all patients fail to take them correctly as prescribed by the doctor. The process of Rational prescription for a Dermatologist (RPD) involves a series of steps such as defining the patient's illness, specifying the treatment objectives, using the principle of P-treatment, starting the treatment, providing appropriate information and monitoring the treatment. Reasons for irrational prescription could be physician related, patient related, industry related, regulations related. Practicing medicine irrationally can lead to disastrous events like increased morbidity and mortality, drain of resources, drug resistance etc. Principles to enhance the RDU in our practice and minimize errors of prescription are discussed in detail in this article. PMID:26955092

  19. Asteroid mining

    NASA Technical Reports Server (NTRS)

    Gertsch, Richard E.

    1992-01-01

    The earliest studies of asteroid mining proposed retrieving a main belt asteroid. Because of the very long travel times to the main asteroid belt, attention has shifted to the asteroids whose orbits bring them fairly close to the Earth. In these schemes, the asteroids would be bagged and then processed during the return trip, with the asteroid itself providing the reaction mass to propel the mission homeward. A mission to one of these near-Earth asteroids would be shorter, involve less weight, and require a somewhat lower change in velocity. Since these asteroids apparently contain a wide range of potentially useful materials, our study group considered only them. The topics covered include asteroid materials and properties, asteroid mission selection, manned versus automated missions, mining in zero gravity, and a conceptual mining method.

  20. Mining machine

    SciTech Connect

    Parrott, G.A.

    1985-05-07

    A haulage system for a mining machine comprises a mining machine mounted on and/or guided by a conveyor and reciprocable with respect thereto, the conveyor being provided with a rack having plural rows of teeth of identical pitch, with the teeth of one row staggered with respect to an adjacent row(s), and the machine being provided with at least one power driven haulage sprocket comprising plural sets of peripherally arranged teeth of identical pitch, one set being angularly staggered with respect to an adjacent set(s), whereby one set is engageable with each row of teeth of the rack. The invention also includes a mining machine provided with such a power driven haulage sprocket, and a rack as above described and provided with end fittings for securing in articulated manner to an adjacent rack.

  1. Mining equipment

    SciTech Connect

    Goff, J.R.; Spence, A.M.

    1981-06-23

    In a system for the supply of fluid under pressure to machinery of an underground mine working, lengths of fixed conduit are secured to parts of the conveyor assembly, prior to the assembly of said parts at the underground mine working. When the conveyor assembly has been assembled, the length of fixed conduits are interconnected, either by straight lengths of flexible conduit, or by branched lengths of flexible conduit, where take off for fluid under pressure is required for the machinery, for example a roof support unit.

  2. The Implicitome: A Resource for Rationalizing Gene-Disease Associations

    PubMed Central

    van der Horst, Eelke; Kaliyaperumal, Rajaram; Mina, Eleni; Tatum, Zuotian; Laros, Jeroen F. J.; van Mulligen, Erik M.; Schuemie, Martijn; Aten, Emmelien; Li, Tong Shu; Bruskiewich, Richard; Good, Benjamin M.; Su, Andrew I.; Kors, Jan A.; den Dunnen, Johan; van Ommen, Gert-Jan B.; Roos, Marco; ‘t Hoen, Peter A.C.; Mons, Barend; Schultes, Erik A.

    2016-01-01

    High-throughput experimental methods such as medical sequencing and genome-wide association studies (GWAS) identify increasingly large numbers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerating rate of data production necessitate computational approaches to prioritize and rationalize potential gene-disease relations. Here, we use concept profile technology to expose from the biomedical literature both explicitly stated gene-disease relations (the explicitome) and a much larger set of implied gene-disease associations (the implicitome). Implicit relations are largely unknown to, or are even unintended by the original authors, but they vastly extend the reach of existing biomedical knowledge for identification and interpretation of gene-disease associations. The implicitome can be used in conjunction with experimental data resources to rationalize both known and novel associations. We demonstrate the usefulness of the implicitome by rationalizing known and novel gene-disease associations, including those from GWAS. To facilitate the re-use of implicit gene-disease associations, we publish our data in compliance with FAIR Data Publishing recommendations [https://www.force11.org/group/fairgroup] using nanopublications. An online tool (http://knowledge.bio) is available to explore established and potential gene-disease associations in the context of other biomedical relations. PMID:26919047

  3. The Implicitome: A Resource for Rationalizing Gene-Disease Associations.

    PubMed

    Hettne, Kristina M; Thompson, Mark; van Haagen, Herman H H B M; van der Horst, Eelke; Kaliyaperumal, Rajaram; Mina, Eleni; Tatum, Zuotian; Laros, Jeroen F J; van Mulligen, Erik M; Schuemie, Martijn; Aten, Emmelien; Li, Tong Shu; Bruskiewich, Richard; Good, Benjamin M; Su, Andrew I; Kors, Jan A; den Dunnen, Johan; van Ommen, Gert-Jan B; Roos, Marco; 't Hoen, Peter A C; Mons, Barend; Schultes, Erik A

    2016-01-01

    High-throughput experimental methods such as medical sequencing and genome-wide association studies (GWAS) identify increasingly large numbers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerating rate of data production necessitate computational approaches to prioritize and rationalize potential gene-disease relations. Here, we use concept profile technology to expose from the biomedical literature both explicitly stated gene-disease relations (the explicitome) and a much larger set of implied gene-disease associations (the implicitome). Implicit relations are largely unknown to, or are even unintended by the original authors, but they vastly extend the reach of existing biomedical knowledge for identification and interpretation of gene-disease associations. The implicitome can be used in conjunction with experimental data resources to rationalize both known and novel associations. We demonstrate the usefulness of the implicitome by rationalizing known and novel gene-disease associations, including those from GWAS. To facilitate the re-use of implicit gene-disease associations, we publish our data in compliance with FAIR Data Publishing recommendations [https://www.force11.org/group/fairgroup] using nanopublications. An online tool (http://knowledge.bio) is available to explore established and potential gene-disease associations in the context of other biomedical relations. PMID:26919047

  4. Refolding of proteins from inclusion bodies: rational design and recipes.

    PubMed

    Basu, Anindya; Li, Xiang; Leong, Susanna Su Jan

    2011-10-01

    The need to develop protein biomanufacturing platforms that can deliver proteins quickly and cost-effectively is ever more pressing. The rapid rate at which genomes can now be sequenced demands efficient protein production platforms for gene function identification. There is a continued need for the biotech industry to deliver new and more effective protein-based drugs to address new diseases. Bacterial production platforms have the advantage of high expression yields, but insoluble expression of many proteins necessitates the development of diverse and optimised refolding-based processes. Strategies employed to eliminate insoluble expression are reviewed, where it is concluded that inclusion bodies are difficult to eliminate for various reasons. Rational design of refolding systems and recipes are therefore needed to expedite production of recombinant proteins. This review article discusses efforts towards rational design of refolding systems and recipes, which can be guided by the development of refolding screening platforms that yield both qualitative and quantitative information on the progression of a given refolding process. The new opportunities presented by light scattering technologies for developing rational protein refolding buffer systems which in turn can be used to develop new process designs armed with better monitoring and controlling functionalities are discussed. The coupling of dynamic and static light scattering methodologies for incorporation into future bioprocess designs to ensure delivery of high-quality refolded proteins at faster rates is also discussed. PMID:21822901

  5. Decision making: rational or hedonic?

    PubMed Central

    Cabanac, Michel; Bonniot-Cabanac, Marie-Claude

    2007-01-01

    Three experiments studied the hedonicity of decision making. Participants rated their pleasure/displeasure while reading item-sentences describing political and social problems followed by different decisions (Questionnaire 1). Questionnaire 2 was multiple-choice, grouping the items from Questionnaire 1. In Experiment 1, participants answered Questionnaire 2 rapidly or slowly. Both groups selected what they had rated as pleasant, but the 'leisurely' group maximized pleasure less. In Experiment 2, participants selected the most rational responses. The selected behaviors were pleasant but less than spontaneous behaviors. In Experiment 3, Questionnaire 2 was presented once with items grouped by theme, and once with items shuffled. Participants maximized the pleasure of their decisions, but the items selected on Questionnaires 2 were different when presented in different order. All groups maximized pleasure equally in their decisions. These results support that decisions are made predominantly in the hedonic dimension of consciousness. PMID:17848195

  6. Rational design of helical architectures

    PubMed Central

    Chakrabarti, Dwaipayan; Fejer, Szilard N.; Wales, David J.

    2009-01-01

    Nature has mastered the art of creating complex structures through self-assembly of simpler building blocks. Adapting such a bottom-up view provides a potential route to the fabrication of novel materials. However, this approach suffers from the lack of a sufficiently detailed understanding of the noncovalent forces that hold the self-assembled structures together. Here we demonstrate that nature can indeed guide us, as we explore routes to helicity with achiral building blocks driven by the interplay between two competing length scales for the interactions, as in DNA. By characterizing global minima for clusters, we illustrate several realizations of helical architecture, the simplest one involving ellipsoids of revolution as building blocks. In particular, we show that axially symmetric soft discoids can self-assemble into helical columnar arrangements. Understanding the molecular origin of such spatial organisation has important implications for the rational design of materials with useful optoelectronic applications.

  7. Max Weber's Types of Rationality: Cornerstones for the Analysis of Rationalization Processes in History.

    ERIC Educational Resources Information Center

    Kalberg, Stephen

    1980-01-01

    Explores rationality in Max Weber's works and identifies four types of rationality which play major roles in his writing--practical, theoretical, substantive, and formal. Implications for society and education are discussed. (DB)

  8. Underground mining methods handbook

    SciTech Connect

    Hustrulid, W.A.

    1982-01-01

    Sections discuss: mine design considerations; stopes requiring minimum support (includes room-and-pillar mining and sublevel stoping); stopes requiring some additional support other than pillars (includes shrinkage stoping, cut-and-fill stoping, undercut-and-fill mining, timber-supported system, top-slice mining, longwall mining and shortwall mining); caving methods (sublevel and block caving); underground equipment; financial considerations; design; and mine ventilation.

  9. Using Fitness Landscapes for Rational Hepatitis C Immunogen Design

    NASA Astrophysics Data System (ADS)

    Hart, Gregory; Ferguson, Andrew

    2015-03-01

    Hepatitis C virus afflicts 170 million people worldwide, 2-3% of the global population. Prophylactic vaccination offers the most realistic and cost effective hope of controlling this epidemic, particularly in the developing world where expensive drug therapies are unavailable. Despite 20 years of research, the high mutability of the virus, and lack of knowledge of what constitutes effective immune responses, have impeded development of an effective vaccine. Coupling data mining of sequence databases with the Potts model, we have developed a computational approach to systematically identify viral vulnerabilities and perform rational design of vaccine immunogens. We applied our approach to the nonstructural proteins NS3, NSA, NSA, and NSB which are crucial for viral replication.The predictions of our model are in good accord with experimental measurements and clinical observations, and we have used our model to design immunogen candidates to elicit T-cell responses against vulnerable regions of theseviral proteins.

  10. The Rationality of Alcoholics Anonymous and the Spirituality of Rational Emotive Behavior Therapy.

    ERIC Educational Resources Information Center

    Velten, Emmett

    1996-01-01

    Argues that Alcoholics Anonymous (AA) and Rational Emotive Behavior Therapy (REBT) share important rational objectives and numerous cognitive-behavioral methods. Both emphasize a philosophical shift as a principal ingredient for change. Provides definitions of rationality and spirituality and explains how REBT and smart recovery are spiritual…

  11. Data mining

    SciTech Connect

    Lee, K.; Kargupta, H.; Stafford, B.G.; Buescher, K.L.; Ravindran, B.

    1998-12-31

    This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The objective of this project was to develop and implement data mining technology suited to the analysis of large collections of unstructured data. This has taken the form of a software tool, PADMA (Parallel Data Mining Agents), which incorporates parallel data accessing, parallel scalable hierarchical clustering algorithms, and a web-based user interface for submitting Structured Query Language (SQL) queries and interactive data visualization. The authors have demonstrated the viability and scalability of PADMA by applying it to an unstructured text database of 25,000 documents running on an IBM SP2 at Argonne National Laboratory. The utility of PADMA for discovering patterns in data has also been demonstrated by applying it to laboratory test data for Hepatitis C patients and autopsy reports in collaboration with the University of New Mexico School of Medicine.

  12. Are Grade Expectations Rational? A Classroom Experiment

    ERIC Educational Resources Information Center

    Hossain, Belayet; Tsigaris, Panagiotis

    2015-01-01

    This study examines students' expectations about their final grade. An attempt is made to determine whether students form expectations rationally. Expectations in economics, rational or otherwise, carry valuable information and have important implications in terms of both teaching effectiveness and the role of grades as an incentive structure…

  13. The Emotional and Moral Basis of Rationality

    ERIC Educational Resources Information Center

    Boostrom, Robert

    2013-01-01

    This chapter explores the basis of rationality, arguing that critical thinking tends to be taught in schools as a set of skills because of the failure to recognize that choosing to think critically depends on the prior development of stable sentiments or moral habits that nourish a rational self. Primary among these stable sentiments are the…

  14. Developing Critical Rationality as a Pedagogical Aim

    ERIC Educational Resources Information Center

    Winch, Christopher

    2004-01-01

    The development of a conception of critical pedagogy is itself an aspect of the development of critical rationality within late modern societies, closely connected with the role of education in developing critical rationality. The role of critique pervades all aspects of life: for people as citizens, workers and self-determining private…

  15. Decision Making: Rational, Nonrational, and Irrational.

    ERIC Educational Resources Information Center

    Simon, Herbert A.

    1993-01-01

    Describes the current state of knowledge about human decision-making and problem-solving processes, explaining recent developments and their implications for management and management training. Rational goal-setting is the key to effective decision making and accomplishment. Bounded rationality is a realistic orientation, because the world is too…

  16. Rationality and Belief in Learning Mathematics

    ERIC Educational Resources Information Center

    Brown, Tony

    2016-01-01

    This paper argues that rationality and belief are mutually formative dimensions of school mathematics, where each term is more politically embedded than often depicted in the field of mathematics education research. School mathematics then presents not so much rational mathematical thought distorted by irrational beliefs but rather a particular…

  17. Professionalization in a Rationally Managed Corporate Organization.

    ERIC Educational Resources Information Center

    Alie, Raymond E.

    1982-01-01

    Explored the relationship of professionalization and rational corporate management. Subjects were 320 engineers in a merged manufacturing firm. Results indicated a relationship between graduate degree activity and organization membership, and confirmed that engineers exhibit greater professionalization in a rationally managed organization. (WAS)

  18. Fiber sources for complete calf starter rations.

    PubMed

    Murdock, F R; Wallenius, R W

    1980-11-01

    Complete calf starter rations containing either 1) alfalfa hay, 2) cottonseed hulls, or 3) alfalfa-beet pulp as sources of fiber were fed to Holstein heifer calves at two locations on a limited milk program from 3 days to 12 wk of age. Rations were isonitrogenous and similar in content of crude fiber and acid detergent fiber. Although growth and development were normal on all rations, calves fed the cottonseed hull ration consumed more starter and gained more body weight than calves fed the other sources of fiber. The similarity of feed efficiencies, rumen pH, and molar ratios of volatile fatty acids between rations indicated no appreciable differences in rumen development or function. The growth response of calves fed the cottonseed hull ration appeared to be a result of better ration acceptability for which no reason was evident. Calves raised at Puyallup gained more body weight than calves at Pullman, and these gains were made more efficiently. These location effects may be related to seasonal differences and greater demands for production of body heat. Although the incidence of scours was less for calves fed alfalfa hay starter, the incidence and severity of bloat were higher for that ration. PMID:6255021

  19. On rational integrals of geodesic flows

    NASA Astrophysics Data System (ADS)

    Kozlov, Valery V.

    2014-11-01

    This paper is concerned with the problem of first integrals of the equations of geodesics on two-dimensional surfaces that are rational in the velocities (or momenta). The existence of nontrivial rational integrals with given values of the degrees of the numerator and the denominator is proved using the Cauchy-Kovalevskaya theorem.

  20. Neurophysiology and Rationality in Political Thinking.

    ERIC Educational Resources Information Center

    Peterson, Steven A.

    Research both in cognitive psychology and psychobiology suggests that political behavior is often less rational than individuals believe it to be. Information processing, memory, and decision making are interlinked processes. Studies in cognitive psychology reveal that even though decision making requires rationality, individuals often adopt…

  1. Approaches towards rational antiviral chemotherapy.

    PubMed Central

    Oxford, J. S.

    1979-01-01

    Present epidemic influenza is uncontrolled by immuno- or chemoprophylaxis. Mutants of varying antigenic composition arise with relatively high frequency in nature and are able to circumvent herd, or induced, immunity. Also, drug-resistant viruses can be selected in vitro and this resistance can be exchanged to other viruses by gene reassortment. Combined immuno- and chemoprophylaxis may provide a more effective approach to the ultimate control of the disease. Most antiviral compounds have been selected by random screening in the laboratory. Application of more specific enzyme assays such as the virion-associated RNA transcriptase assays may produce other compounds with a defined mode of action - semi-rational chemotherapy. RNA and polypeptide sequence studies are in progress elsewhere to define transcription and translation initiation sites or virus adsorption sites. Such knowledge could lead to a new generation of antiviral compounds. Specific delivery of virus inhibitory compounds is an interesting problem. Liposomes are lipid spheres, and these have been used for the delivery of antiviral compounds. Images Fig. 3a. Fig. 3b. Fig. 4 Fig. 5 PMID:461275

  2. The Mechanization of Mining.

    ERIC Educational Resources Information Center

    Marovelli, Robert L.; Karhnak, John M.

    1982-01-01

    Mechanization of mining is explained in terms of its effect on the mining of coal, focusing on, among others, types of mining, productivity, machinery, benefits to retired miners, fatality rate in underground coal mines, and output of U.S. mining industry. (Author/JN)

  3. Being 'rational' and being 'human': How National Health Service rationing decisions are constructed as rational by resource allocation panels.

    PubMed

    Russell, Jill; Greenhalgh, Trisha

    2014-09-01

    The English National Health Service Constitution states that patients have the right to expect all decisions about access to medicines and treatments to be made 'rationally'. Rationality in health care can be framed as instrumental, institutional or practical. In this article, we present a case example from an ethnographic study of the work of 'Individual Funding Request' panels to explore how rationality is enacted and accounted for in deliberations about the rationing of health care in the National Health Service. Our rhetorical analysis highlights how an embodied, practical rationality emerges as a significant aspect of rationality in practice, but at the same time has a problematic status in formal accounts of decision-making. We suggest that being both 'human' and 'rational' is a 'delicate balance' and creates a dilemma for Individual Funding Request panels. Aristotle's notion of phronesis provides a useful lens for theorising our observation of panel deliberations, and we argue for greater attention to the value of narrative ethics in helping us understand the challenges faced by resource allocators. PMID:24287296

  4. MouseMine: a new data warehouse for MGI.

    PubMed

    Motenko, H; Neuhauser, S B; O'Keefe, M; Richardson, J E

    2015-08-01

    MouseMine (www.mousemine.org) is a new data warehouse for accessing mouse data from Mouse Genome Informatics (MGI). Based on the InterMine software framework, MouseMine supports powerful query, reporting, and analysis capabilities, the ability to save and combine results from different queries, easy integration into larger workflows, and a comprehensive Web Services layer. Through MouseMine, users can access a significant portion of MGI data in new and useful ways. Importantly, MouseMine is also a member of a growing community of online data resources based on InterMine, including those established by other model organism databases. Adopting common interfaces and collaborating on data representation standards are critical to fostering cross-species data analysis. This paper presents a general introduction to MouseMine, presents examples of its use, and discusses the potential for further integration into the MGI interface. PMID:26092688

  5. Uses of antimicrobial genes from microbial genome

    DOEpatents

    Sorek, Rotem; Rubin, Edward M.

    2013-08-20

    We describe a method for mining microbial genomes to discover antimicrobial genes and proteins having broad spectrum of activity. Also described are antimicrobial genes and their expression products from various microbial genomes that were found using this method. The products of such genes can be used as antimicrobial agents or as tools for molecular biology.

  6. Exploration and Mining Roadmap

    SciTech Connect

    none,

    2002-09-01

    This Exploration and Mining Technology Roadmap represents the third roadmap for the Mining Industry of the Future. It is based upon the results of the Exploration and Mining Roadmap Workshop held May 10 ñ 11, 2001.

  7. [The rational diagnostic of cholangiocarcinoma].

    PubMed

    Rydlo, Martin; Dvořáčková, Jana; Kupka, Tomáš; Klvaňa, Pavel; Havelka, Jaroslav; Uvírová, Magdalena; Geryk, Edvard; Czerný, Daniel; Jonszta, Tomáš; Bojková, Martina; Hrabovský, Vladimír; Jelínková, Veronika; Martínek, Arnošt; Dítě, Petr

    2016-02-01

    Cholangiocarcinoma (CC) is a rare malignant tumour arising from cholangiocytes, and its prognosis is usually unfavourable, mostly as a result of late diagnosis of the tumour. The current incidence of cholangiocarcinoma in the Czech Republic is 1.4/100,000 inhabitants per year; in less than 30 % of patients with CC, one of the known risk factors can be identified, most frequently, primary sclerosing cholangitis. Only patients with early diagnosed and surgically amenable cholangiocarcinoma are likely to have a longer survival time; in their case, survival for more than five years has been achieved in 20 % to 40 %. From the perspective of the need for early diagnosis of CC, a significant part is played by imaging and histopathologic evaluation; the early diagnostic significance of oncomarkers is limited. The rational early diagnosis of CC consists in effective use of differentiated advantages of different imaging modalities - MRI with DSA appears to be the optimal method, endosonography is a sensitive method for the identification of malignancy in the hepatic hilum or distal common bile duct, MRCP (magnetic resonance cholangiopancreatography) is used to display pathological changes in the biliary tree, ERCP (endoscopic retrograde cholangiopancreatography) allows material removal for histopathological examination. Other new approaches are also beneficial, such as IDUS - intraductal ultrasonography of biliary tract or SPY-GLASS, enabling examination of the bile ducts by direct view with the possibility of taking targeted biopsies. Sensitivity and specificity of histology and cytology can be increased by using the molecular cytogenetic FISH method, i.e. fluorescence in situ by hybridization, with a specificity of 97 %. PMID:27172439

  8. Mining review

    USGS Publications Warehouse

    McCartan, L.; Morse, D.E.; Plunkert, P.A.; Sibley, S.F.

    2004-01-01

    The average annual growth rate of real gross domestic product (GDP) from the third quarter of 2001 through the second quarter of 2003 in the United States was about 2.6 percent. GDP growth rates in the third and fourth quarters of 2003 were about 8 percent and 4 percent, respectively. The upward trends in many sectors of the U.S. economy in 2003, however, were shared by few of the mineral materials industries. Annual output declined in most nonfuel mining and mineral processing industries, although there was an upward turn toward yearend as prices began to increase.

  9. Determination of Abutment Pressure in Coal Mines with Extremely Thick Alluvium Stratum: A Typical Kind of Rockburst Mines in China

    NASA Astrophysics Data System (ADS)

    Zhu, Sitao; Feng, Yu; Jiang, Fuxing

    2016-05-01

    This paper investigates the abutment pressure distribution in coal mines with extremely thick alluvium stratum (ETAS), which is a typical kind of mines encountering frequent intense rockbursts in China. This occurs due to poor understanding to abutment pressure distribution pattern and the consequent inappropriate mine design. In this study, a theoretical computational model of abutment pressure for ETAS longwall panels is proposed based on the analysis of load transfer mechanisms of key stratum (KS) and ETAS. The model was applied to determine the abutment pressure distribution of LW2302S in Xinjulong Coal Mine; the results of stress and microseismic monitoring verified the rationality of this model. The calculated abutment pressure of LW2302S was also used in the terminal mining line design of LW2301N for rockburst prevention, successfully protecting the main roadway from the adverse influence of the abutment pressure.

  10. Rationing of health care: is there an economic rationality to it?

    PubMed

    Zweifel, Peter

    2015-11-01

    The point of departure of this Editorial is the fact that we all are engaged in self-rationing in our everyday lives. We would like to spend more money on all sorts of nice things and devote more time to our cherished activities. Imposed rationing is characteristic of wartime governments, who seek to prevent the rich from gobbling up the resources left by the army. Since the publication in 1987 of David Callahan's Setting Limits: Medical Goals in an Aging Society (Callahan, Setting limits: medical goals in an aging society, Simon & Schuster, New York, 1987), rationing of health care has become a widely debated issue (the Internet is full of pertinent entries). While rationing has also been addressed by health economists, there are three puzzling observations. First, Callahan (Callahan, Setting limits: medical goals in an aging society, Simon & Schuster, New York, 1987) wrote for an American audience whereas rationing was introduced by the British National Health Service (NHS) well before 1987, with little debate. Second, the economic theory of rationing had been laid out by James Tobin [Ectrica 20(4): 521-533, 1952] as early as 1952--but health economists seem to have neglected his groundwork when writing about rationing. Third, they accept government-imposed rationing as inevitable in the case of health care, as though the self-rationing alternative was unavailable. An attempt is made here to provide rational explanations for these puzzles. PMID:25847329