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Τίτλος: Genome-Wide Analysis of the World's Sheep Breeds Reveals High Levels of Historic Mixture and Strong Recent Selection
Συγγραφείς: Kijas, James W. 
Lenstra, Johannes A. 
Hayes, Ben 
Boitard, Simon B. 
Neto, Laercio Ribeiro Porto 
Cristobal, Magali San 
Servin, Bertrand 
McCulloch, Russell 
Whan, Vicki 
Gietzen, Kimberly 
Paiva, Samuel 
Barendse, William J. 
Ciani, Elena 
Raadsma, Herman 
McEwan, John 
Dalrymple, Brian 
Miltiadou, Despoina 
Major Field of Science: Natural Sciences
Field Category: Biological Sciences
Λέξεις-κλειδιά: Breeding;Gene frequency;Gene mapping;Genetic analysis;Genetic variability
Ημερομηνία Έκδοσης: 7-Φεβ-2012
Πηγή: PLoS Biology, 2012, vol.10, no.2, Article number e1001258
Volume: 10
Issue: 2
Περιοδικό: PLOS Biology 
Περίληψη: Through their domestication and subsequent selection, sheep have been adapted to thrive in a diverse range of environments. To characterise the genetic consequence of both domestication and selection, we genotyped 49,034 SNP in 2,819 animals from a diverse collection of 74 sheep breeds. We find the majority of sheep populations contain high SNP diversity and have retained an effective population size much higher than most cattle or dog breeds, suggesting domestication occurred from a broad genetic base. Extensive haplotype sharing and generally low divergence time between breeds reveal frequent genetic exchange has occurred during the development of modern breeds. A scan of the genome for selection signals revealed 31 regions containing genes for coat pigmentation, skeletal morphology, body size, growth, and reproduction. We demonstrate the strongest selection signal has occurred in response to breeding for the absence of horns. The high density map of genetic variability provides an in-depth view of the genetic history for this important livestock species.
URI: https://hdl.handle.net/20.500.14279/8182
ISSN: 15449173
DOI: 10.1371/journal.pbio.1001258
Rights: © 2012 Kijas et al.
Type: Article
Affiliation: Utrecht University 
Department of Primary Industries Victoria 
INRA 
Illumina Inc 
Embrapa 
University of Bari Aldo Moro 
University of Sydney 
Invermay Agricultural Center 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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