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      A Genome Scan for Positive Selection in Thoroughbred Horses

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          Abstract

          Thoroughbred horses have been selected for exceptional racing performance resulting in system-wide structural and functional adaptations contributing to elite athletic phenotypes. Because selection has been recent and intense in a closed population that stems from a small number of founder animals Thoroughbreds represent a unique population within which to identify genomic contributions to exercise-related traits. Employing a population genetics-based hitchhiking mapping approach we performed a genome scan using 394 autosomal and X chromosome microsatellite loci and identified positively selected loci in the extreme tail-ends of the empirical distributions for (1) deviations from expected heterozygosity (Ewens-Watterson test) in Thoroughbred (n = 112) and (2) global differentiation among four geographically diverse horse populations (F ST). We found positively selected genomic regions in Thoroughbred enriched for phosphoinositide-mediated signalling (3.2-fold enrichment; P<0.01), insulin receptor signalling (5.0-fold enrichment; P<0.01) and lipid transport (2.2-fold enrichment; P<0.05) genes. We found a significant overrepresentation of sarcoglycan complex (11.1-fold enrichment; P<0.05) and focal adhesion pathway (1.9-fold enrichment; P<0.01) genes highlighting the role for muscle strength and integrity in the Thoroughbred athletic phenotype. We report for the first time candidate athletic-performance genes within regions targeted by selection in Thoroughbred horses that are principally responsible for fatty acid oxidation, increased insulin sensitivity and muscle strength: ACSS1 (acyl-CoA synthetase short-chain family member 1), ACTA1 (actin, alpha 1, skeletal muscle), ACTN2 (actinin, alpha 2), ADHFE1 (alcohol dehydrogenase, iron containing, 1), MTFR1 (mitochondrial fission regulator 1), PDK4 (pyruvate dehydrogenase kinase, isozyme 4) and TNC (tenascin C). Understanding the genetic basis for exercise adaptation will be crucial for the identification of genes within the complex molecular networks underlying obesity and its consequential pathologies, such as type 2 diabetes. Therefore, we propose Thoroughbred as a novel in vivo large animal model for understanding molecular protection against metabolic disease.

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          Most cited references125

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          Molecular Cloning : A Laboratory Manual

          <p>The first two editions of this manual have been mainstays of molecular biology for nearly twenty years, with an unrivalled reputation for reliability, accuracy, and clarity.<br>In this new edition, authors Joseph Sambrook and David Russell have completely updated the book, revising every protocol and adding a mass of new material, to broaden its scope and maintain its unbeatable value for studies in genetics, molecular cell biology, developmental biology, microbiology, neuroscience, and immunology.<br>Handsomely redesigned and presented in new bindings of proven durability, this three–volume work is essential for everyone using today’s biomolecular techniques.<br>The opening chapters describe essential techniques, some well–established, some new, that are used every day in the best laboratories for isolating, analyzing and cloning DNA molecules, both large and small.<br>These are followed by chapters on cDNA cloning and exon trapping, amplification of DNA, generation and use of nucleic acid probes, mutagenesis, and DNA sequencing.<br>The concluding chapters deal with methods to screen expression libraries, express cloned genes in both prokaryotes and eukaryotic cells, analyze transcripts and proteins, and detect protein–protein interactions.<br>The Appendix is a compendium of reagents, vectors, media, technical suppliers, kits, electronic resources and other essential information.<br>As in earlier editions, this is the only manual that explains how to achieve success in cloning and provides a wealth of information about why techniques work, how they were first developed, and how they have evolved. </p>
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            DAVID: Database for Annotation, Visualization, and Integrated Discovery.

            Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. The distributed nature of biological knowledge frequently requires researchers to navigate through numerous web-accessible databases gathering information one gene at a time. A more judicious approach is to provide query-based access to an integrated database that disseminates biologically rich information across large datasets and displays graphic summaries of functional information. Database for Annotation, Visualization, and Integrated Discovery (DAVID; http://www.david.niaid.nih.gov) addresses this need via four web-based analysis modules: 1) Annotation Tool - rapidly appends descriptive data from several public databases to lists of genes; 2) GoCharts - assigns genes to Gene Ontology functional categories based on user selected classifications and term specificity level; 3) KeggCharts - assigns genes to KEGG metabolic processes and enables users to view genes in the context of biochemical pathway maps; and 4) DomainCharts - groups genes according to PFAM conserved protein domains. Analysis results and graphical displays remain dynamically linked to primary data and external data repositories, thereby furnishing in-depth as well as broad-based data coverage. The functionality provided by DAVID accelerates the analysis of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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              The hitch-hiking effect of a favourable gene.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2009
                2 June 2009
                : 4
                : 6
                : e5767
                Affiliations
                [1 ]Animal Genomics Laboratory, School of Agriculture, Food Science and Veterinary Medicine, College of Life Sciences, University College Dublin, Belfield, Dublin, Ireland
                [2 ]The Breakthrough Breast Cancer Research Centre, Chester Beatty Laboratories, The Institute of Cancer Research, London, United Kingdom
                [3 ]University Veterinary Hospital, School of Agriculture, Food Science and Veterinary Medicine, College of Life Sciences, University College Dublin, Belfield, Dublin, Ireland
                [4 ]Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
                [5 ]Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
                Pasteur Institute, France
                Author notes

                Conceived and designed the experiments: DM EWH. Performed the experiments: JG EWH. Analyzed the data: JG NO SDEP EWH. Contributed reagents/materials/analysis tools: GS. Wrote the paper: JG NO SDEP LMK DM EWH. Provided veterinary assistance: LMK. Principal Investigator: EWH.

                Article
                08-PONE-RA-07439
                10.1371/journal.pone.0005767
                2685479
                19503617
                cdd2a1ab-1196-42c6-8ed1-f80850892c7b
                Gu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 21 November 2008
                : 22 January 2009
                Page count
                Pages: 17
                Categories
                Research Article
                Genetics and Genomics/Animal Genetics
                Genetics and Genomics/Comparative Genomics
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Disease Models
                Genetics and Genomics/Gene Function
                Genetics and Genomics/Genetics of Disease
                Genetics and Genomics/Genomics
                Genetics and Genomics/Physiogenomics
                Genetics and Genomics/Population Genetics
                Genetics and Genomics/Animal Genetics
                Genetics and Genomics/Comparative Genomics
                Genetics and Genomics/Complex Traits
                Genetics and Genomics/Disease Models
                Genetics and Genomics/Gene Function
                Genetics and Genomics/Genetics of Disease
                Genetics and Genomics/Genomics
                Genetics and Genomics/Physiogenomics
                Genetics and Genomics/Population Genetics

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                Uncategorized

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