Literature DB >> 32972674

Variation in the SLC16A1 and the ACOX1 Genes Is Associated with Gallop Racing Performance in Arabian Horses.

Marie Fontanel1, Evelyn Todd2, Alize Drabbe2, Katarzyna Ropka-Molik3, Monika Stefaniuk-Szmukier4, Grzegorz Myćka5, Brandon D Velie6.   

Abstract

Arabian horses are not only one of the most ancient breeds in the world, but they are also one of the most appreciated racehorse breeds today. The breed generates attention for their phenomenal endurance ability and their capability for gallop racing. Consequently, genetic testing to select the best individuals is attracting ever increasing interests from the Arabian industry. As such, the aim of this study was to further investigate associations between performance and variation at candidate genes suspected of having a key role in Arabian gallop racing performance. Generalized linear models were fit to test associations between eight candidate gene variants and a variety of gallop racing performance traits in a sample of Arabian racehorses (n = 287). Two genes, solute carrier family 16 member 1 (SLC16A1) and acyl-CoA oxidase 1 (ACOX1), were significantly associated with multiple gallop racing performance traits, whereas another gene, actinin alpha 3 (ACTN3) was associated with best race distance. Previously established associations between these three genes and equine metabolism strongly suggest further investigation of these genes, and their relationship with Arabian horse performance is warranted.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Earnings; Flat racing; Genetic; Racehorse

Year:  2020        PMID: 32972674     DOI: 10.1016/j.jevs.2020.103202

Source DB:  PubMed          Journal:  J Equine Vet Sci        ISSN: 0737-0806            Impact factor:   1.583


  1 in total

1.  Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses.

Authors:  Hasan Önder; Uğur Şen; Dariusz Piwczyński; Magdalena Kolenda; Magdalena Drewka; Samet Hasan Abacı; Çiğdem Takma
Journal:  Animals (Basel)       Date:  2022-09-30       Impact factor: 3.231

  1 in total

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