Skip to main content
SLU publication database (SLUpub)

Research article2019Peer reviewedOpen access

Exploring the genetics of trotting racing ability in horses using a unique Nordic horse model

Velie, Brandon D.; Lillie, Mette; Fegraeus, Kim Jaderkvist; Rosengren, Maria K.; Sole, Marina; Wiklund, Maja; Ihler, Carl-Fredrik; Strand, Eric; Lindgren, Gabriella

Abstract

BackgroundHorses have been strongly selected for speed, strength, and endurance-exercise traits since the onset of domestication. As a result, highly specialized horse breeds have developed with many modern horse breeds often representing closed populations with high phenotypic and genetic uniformity. However, a great deal of variation still exists between breeds, making the horse particularly well suited for genetic studies of athleticism. To identify genomic regions associated with athleticism as it pertains to trotting racing ability in the horse, the current study applies a pooled sequence analysis approach using a unique Nordic horse model.ResultsPooled sequence data from three Nordic horse populations were used for F-ST analysis. After strict filtering, F-ST analysis yielded 580 differentiated regions for trotting racing ability. Candidate regions on equine chromosomes 7 and 11 contained the largest number of SNPs (n=214 and 147, respectively). GO analyses identified multiple genes related to intelligence, energy metabolism, and skeletal development as potential candidate genes. However, only one candidate region for trotting racing ability overlapped a known racing ability QTL.ConclusionsNot unexpected for genomic investigations of complex traits, the current study identified hundreds of candidate regions contributing to trotting racing ability in the horse. Likely resulting from the cumulative effects of many variants across the genome, racing ability continues to demonstrate its polygenic nature with candidate regions implicating genes influencing both musculature and neurological development.

Keywords

Athleticism; Conformation; Genomic; Performance; Racehorse

Published in

BMC Genomics
2019, Volume: 20, article number: 104
Publisher: BMC