Please use this identifier to cite or link to this item: 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 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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