אסיף מאגר המחקר החקלאי

Selection signatures in worldwide sheep populations

Year:

2014

Source of publication :

Authors :

Volume :

9

Co-Authors:

Fariello, M.-I., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France, Instituto de Matemática Y Estadística Prof. Ing. Rafael Laguardia, Facultad de Ingeniera, Universidad de la República, Montevideo, Uruguay, Bioinformatics Unit, Institut Pasteur, Montevideo, Uruguay
Servin, B., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France, University of Sydney, Australia
Tosser-Klopp, G., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France
Rupp, R., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France
Moreno, C., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France, INRA, France
Cristobal, M.S., Génétique, Physiologie et Systèmes d'Élevage, Institut National de la Recherche Agronomique, Ecole Nationale Veterinaire de Toulouse and Ecole Nationale Superieure Agronomique de Toulouse, Castanet-Tolosan, France
Boitard, S., Génétique Animale et Biologie Intégrative, Institut National de la Recherche Agronomique, AgroParisTech, Jouy-en-Josas, France, Origine, Structure et Evolution de la Biodiversité, Museum National d'Histoire Naturelle and Ecole Pratique des Hautes Etudes, CNRS, Paris, France, INRA, France
Arranz, J.J., Universidad de Leon, Spain
Banos, G., Aristotle University of Thessaloniki, Greece
Barendse, W., CSIRO Livestock Industries, Australia
El Beltagy, A., Animal Production Research Institute, Nigeria
Benenwitz, J., University of Hohenheim, Germany
Bishop, S., Roslin Institute, United Kingdom
Bunger, L., Scottish Agricultural College, United Kingdom
Calvo, J., CITA, United Kingdom
Carta, A., Agris Sardegna, Italy
Cemal, I., Adnan Menderes University, Turkey
Ciani, E., University of Bari, Italy
Cockett, N., University of Utah, United States
Coltman, D., University of Alberta, Canada
Dalrymple, B., CSIRO Livestock Industries, Australia
D'Andrea, M., Universit degli Studi del Molise, Italy
Distl, O., University of Veterinary Medicine Hannover, Germany
Drogemuller, C., Institute of Genetics, University of Berne, Switzerland
Erhardt, G., Institut fr Tierzucht und Haustiergenetik Justus-Liebig-Universitt Gieen, Germany
Eythorsdottir, E., Agricultural University of Iceland, Iceland
Gietzen, K., Illumina Inc., United States
Gill, C., Texas A and M University, United States
Gootwine, E., Volcani Center, Israel
Gupta, V., National Chemical Laboratory, India
Hanotte, O., University of Nottingham, United Kingdom
Hayes, B., Department of Primary Industries Victoria, Australia
Heaton, M., USDA MARC, United States
Hiendleder, S., University of Adelaide, Australia
Jialin, H., ILRI, CAAS, Singapore
Kantanen, J., MTT Agrifood Research, Finland
Kent, M., CiGene, Norway
Kijas, J., CSIRO Livestock Industries, Australia
Larkin, D., University of Aberystwyth, United Kingdom
Lenstra, J.A., Utrecht University, Netherlands
Li, K., Lhasa People Hospital, Tibet, China
Longhurst, T., Meat and Livestock Australia, Australia
Ma, R., Chinese Academy of Science, China
McCulloch, R., CSIRO Livestock Industries, Australia
MacHugh, D., University College Dublin, Ireland
McWilliam, S., CSIRO Livestock Industries, Australia
McEwan, J., AgResearch, New Zealand
Maddox, J., University of Melbourne, Australia
Malek, M., IAEA, Austria
Mdomar, F., Bangladesh Agriculture University, Bangladesh
Miltiadou, D., Cyprus University of Technology, Cyprus
Monteagudo Ibez, L.V., Universidad de Zaragoza, Spain
Nicholas, F., University of Sydney, Australia
Nowak, K., University of Western Australia, Australia
Oddy, V.H., University of New England, Australia
Paiva, S., Embrapa, Brazil
Pardeshi, V., National Chemical Laboratory, India
Pemberton, J., University of Edinburgh, United Kingdom
Pilla, F., Universit degli Studi del Molise, Italy
Porto Neto, L.R., CSIRO Livestock Industries, Australia
Raadsma, H., University of Sydney, Australia
Roberts, C., Caribbean Agricultural Research and Development Institute, India
San Cristobal, M., University of Sydney, Australia
Sechi, T., Adnan Menderes University, Turkey
Scheet, P., University of Texas M. D. Anderson Cancer Center, United States
Shariflou, M., University of Sydney, Australia
Silva, P., University of Peradeniya, Sri Lanka
Simianer, H., University of Goettingen, Germany
Slate, J., University of Sheffield, United Kingdom
Tapio, M., MTT, Finland
Vattathil, S., University of Texas M. D. Anderson Cancer Center, United States
Whan, V., CSIRO Livestock Industries, Australia

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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. © 2014 Fariello et al.

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