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  4. Selection signatures in worldwide sheep populations
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Selection signatures in worldwide sheep populations

Journal
PLoS ONE
Date Issued
August 15, 2014
Author(s)
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.  
DOI
10.1371/journal.pone.0103813
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.
Subjects

Holstein cattle

Artificial selection

Missense mutation

Genotype data

Adult height

Coat color

Gene

Genome

Breeds

Receptor

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  
Handle
https://hdl.handle.net/20.500.14279/9640
File(s)
Thumbnail Image
Name

Miltiadou.PDF

Size

3.01 MB

Format

Adobe PDF

Checksum (MD5)

181314f4d806b599d429832a23f77f6b

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