title: Genetic diversity in the modern horse illustrated from genome-wide SNP data.
abstract: Horses were domesticated from the Eurasian steppes 5,000-6,000 years ago. Since then, the use of horses for transportation, warfare, and agriculture, as well as selection for desired traits and fitness, has resulted in diverse populations distributed across the world, many of which have become or are in the process of becoming formally organized into closed, breeding populations (breeds). This report describes the use of a genome-wide set of autosomal SNPs and 814 horses from 36 breeds to provide the first detailed description of equine breed diversity. F(ST) calculations, parsimony, and distance analysis demonstrated relationships among the breeds that largely reflect geographic origins and known breed histories. Low levels of population divergence were observed between breeds that are relatively early on in the process of breed development, and between those with high levels of within-breed diversity, whether due to large population size, ongoing outcrossing, or large within-breed phenotypic diversity. Populations with low within-breed diversity included those which have experienced population bottlenecks, have been under intense selective pressure, or are closed populations with long breed histories. These results provide new insights into the relationships among and the diversity within breeds of horses. In addition these results will facilitate future genome-wide association studies and investigations into genomic targets of selection.
authors: University of Minnesota, College of Veterinary Medicine, St Paul, MN, USA. jlpeters@umn.edu
authors: Jessica L
authors: JL
authors: Petersen
authors: James R
authors: JR
authors: Mickelson
authors: E Gus
authors: EG
authors: Cothran
authors: Lisa S
authors: LS
authors: Andersson
authors: Jeanette
authors: J
authors: Axelsson
authors: Ernie
authors: E
authors: Bailey
authors: Danika
authors: D
authors: Bannasch
authors: Matthew M
authors: MM
authors: Binns
authors: Alexandre S
authors: AS
authors: Borges
authors: Pieter
authors: P
authors: Brama
authors: Artur
authors: A
authors: da Câmara Machado
authors: Ottmar
authors: O
authors: Distl
authors: Michela
authors: M
authors: Felicetti
authors: Laura
authors: L
authors: Fox-Clipsham
authors: Kathryn T
authors: KT
authors: Graves
authors: Gérard
authors: G
authors: Guérin
authors: Bianca
authors: B
authors: Haase
authors: Telhisa
authors: T
authors: Hasegawa
authors: Karin
authors: K
authors: Hemmann
authors: Emmeline W
authors: EW
authors: Hill
authors: Tosso
authors: T
authors: Leeb
authors: Gabriella
authors: G
authors: Lindgren
authors: Hannes
authors: H
authors: Lohi
authors: Maria Susana
authors: MS
authors: Lopes
authors: Beatrice A
authors: BA
authors: McGivney
authors: Sofia
authors: S
authors: Mikko
authors: Nicholas
authors: N
authors: Orr
authors: M Cecilia T
authors: MC
authors: Penedo
authors: Richard J
authors: RJ
authors: Piercy
authors: Marja
authors: M
authors: Raekallio
authors: Stefan
authors: S
authors: Rieder
authors: Knut H
authors: KH
authors: Røed
authors: Maurizio
authors: M
authors: Silvestrelli
authors: June
authors: J
authors: Swinburne
authors: Teruaki
authors: T
authors: Tozaki
authors: Mark
authors: M
authors: Vaudin
authors: Claire
authors: C
authors: M Wade
authors: Molly E
authors: ME
authors: McCue
mesh_terms: D000818:Animals; D001947:Breeding; D016000:Cluster Analysis; D023281:Genomics; D006736:Horses / Q000145:classification / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D025341:Principal Component Analysis
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