Selection signatures in worldwide sheep populations

Fariello, Maria-Ines, Servin, Bertrand, Tosser-Klopp, Gwenola, Rupp, Rachel, Moreno, Carole, San Cristobal, Magali, Boitard, Simon, International Sheep Genomics Consortium and Hayes, Ben (2014) Selection signatures in worldwide sheep populations. PLoS One, 9 8: . doi:10.1371/journal.pone.0103813

Author Fariello, Maria-Ines
Servin, Bertrand
Tosser-Klopp, Gwenola
Rupp, Rachel
Moreno, Carole
San Cristobal, Magali
Boitard, Simon
International Sheep Genomics Consortium
Hayes, Ben
Title Selection signatures in worldwide sheep populations
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2014-08-15
Sub-type Article (original research)
DOI 10.1371/journal.pone.0103813
Open Access Status DOI
Volume 9
Issue 8
Total pages 12
Place of publication San Francisco, United States
Publisher Public Library of Science
Language eng
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.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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