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https://hdl.handle.net/20.500.14279/9640| Title: | Selection signatures in worldwide sheep populations | Authors: | Fariello, María Inés Servin, Bertrand Tosser-Klopp, Gwenola Rupp, Rachel Moreno, Carole Rénée Cristobal, Magali San Boitard, Simon B. Arranz, Juan Jose Banos, Georgios Barendse, William J. El Beltagy, Ahmedn Benenwitz, Jorn Bishop, Steve C. Bunger, Lutz Calvo, Jorge H. Carta, Antonello Cemal, İbrahim Ciani, Elena Cockett, Noelle E. Coltman, David W. Dalrymple, Brian P. D'Andrea, Mariasilvia Silvia Distl, Ottmar Drogemuller, Cord Erhardt, Georg J. Eythorsdottir, Emma Gietzen, Kimberly J. Gill, Clare Gootwine, Clare Gupta, Vidya Shrikant Hanotte, Olivier H. Hayes, Ben J. Heaton, Michael P. Hiendleder, Stefan G. Jialin, Han Kantanen, Juha Kent, Matthew Kijas, James W. Larkin, Denis M. Lenstra, Johannes A. Li, Kui Longhurst, Terry Ma, Runlin McCulloch, Russell J. MacHugh, David E. McWilliam, Sean M. McEwan, John C. Maddox, Jillian F. Malek, Massoud Mdomar, Faruque Miltiadou, Despoina Monteagudo Ibez, Luis V. Nicholas, Frank W. Nowak, Kristen J. Oddy, Victor Hutton Paiva, Samuel Rezende Pardeshi, Varsha Chhotusing Pemberton, Josephine M. M. Pilla, Fabio Porto Neto, Laércio R. Raadsma, Herman W. Roberts, Cyril San Cristobal, Magali Sechi, Tiziana Scheet, Paul A. Shariflou, Mohammad Reza Silva, Pradeepa Simianer, Henner Slate, Jon Tapio, Miika Vattathil, Selina Whan V., Vicki A. |
metadata.dc.contributor.other: | Μιλτιάδου, Δέσποινα | Major Field of Science: | Agricultural Sciences | Field Category: | Animal and Dairy Science | Keywords: | Holstein cattle;Artificial selection;Missense mutation;Genotype data;Adult height;Coat color;Gene;Genome;Breeds;Receptor | Issue Date: | 15-Aug-2014 | Source: | PLoS ONE, 2014, vol. 9, no. 8 | Volume: | 9 | Issue: | 8 | Journal: | PLoS ONE | Abstract: | The diversity of populations in domestic species offers great opportunities to study genome response to selection. The recently published Sheep HapMap dataset is a great example of characterization of the world wide genetic diversity in sheep. In this study, we re-analyzed the Sheep HapMap dataset to identify selection signatures in worldwide sheep populations. Compared to previous analyses, we made use of statistical methods that (i) take account of the hierarchical structure of sheep populations, (ii) make use of linkage disequilibrium information and (iii) focus specifically on either recent or older selection signatures. We show that this allows pinpointing several new selection signatures in the sheep genome and distinguishing those related to modern breeding objectives and to earlier post-domestication constraints. The newly identified regions, together with the ones previously identified, reveal the extensive genome response to selection on morphology, color and adaptation to new environments. | URI: | https://hdl.handle.net/20.500.14279/9640 | ISSN: | 19326203 | DOI: | 10.1371/journal.pone.0103813 | Rights: | © Public Library of Science | Type: | Article | Affiliation : | Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse Universidad de la República Institut Pasteur Institut National de la Recherche Agronomique Museum National d'Histoire Naturelle and Ecole Pratique des Hautes Etudes Universidad de Leon Aristotle University of Thessaloniki CSIRO Livestock Industries Animal Production Research Institute University of Hohenheim Roslin Institute INRA Scottish Agricultural College CITA Agris Sardegna Adnan Menderes University University of Bari Aldo Moro University of Utah University of Alberta Universit degli Studi del Molise University of Veterinary Medicine Hannover University of Bern Institut fr Tierzucht und Haustiergenetik Justus-Liebig-Universitt Gieen Agricultural University of Iceland Illumina Inc Texas A and M University National Chemical Laboratory University of Nottingham Department of Primary Industries Victoria USDA Agricultural Research Service University of Adelaide CAAS MTT Agrifood Research CiGene University of Aberystwyth Utrecht University Lhasa People Hospital Meat and Livestock Australia Chinese Academy of Sciences University College Dublin AgResearch University of Melbourne IAEA Bangladesh Agricultural University Cyprus University of Technology Universidad de Zaragoza University of Sydney University of Western Australia University of New England Embrapa The University of Edinburgh Caribbean Agricultural Research and Development Institute University of Texas M. D. Anderson Cancer Center University of Peradeniya University of Gottingen University of Sheffield |
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| Miltiadou.PDF | Article | 3.08 MB | Adobe PDF | View/Open |
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