The use of the SLC16A1 gene as a potential marker to predict race performance in Arabian horses

Common protein-coding variants influence the racing phenotype in galloping racehorse breeds

Selection for system-wide morphological, physiological, and metabolic adaptations has led to extreme athletic phenotypes among geographically diverse horse breeds. Here, we identify genes contributing to exercise adaptation in racehorses by applying genomics approaches for racing performance, an end-point athletic phenotype. Using an integrative genomics strategy to first combine population genomics results with skeletal muscle exercise and training transcriptomic data, followed by whole-genome resequencing of Asian horses, we identify protein-coding variants in genes of interest in galloping racehorse breeds (Arabian, Mongolian and Thoroughbred). A core set of genes, G6PC2, HDAC9, KTN1, MYLK2, NTM, SLC16A1 and SYNDIG1, with central roles in muscle, metabolism, and neurobiology, are key drivers of the racing phenotype. Although racing potential is a multifactorial trait, the genomic architecture shaping the common athletic phenotype in horse populations bred for racing provides evidence for the influence of protein-coding variants in fundamental exercise-relevant genes. Variation in these genes may therefore be exploited for genetic improvement of horse populations towards specific types of racing.

Affecting Lipid Metabolism Salivary MicroRNAs Expressions in Arabian Racehorses Before and After the Race

The active roles of microribonucleic acids (miRNAs) in gene regulation have made miRNAs a key point for the scientific world in the study of physiological processes. Although saliva includes the largest number of miRNAs, there is no miRNA study in saliva on horses has been found. Our study is the first study on miRNAs isolation from saliva in horses. In the present study, saliva was studied in Arabian racehorses to better understand the molecular mechanisms of expression levels that are effective in lipid metabolism of miRNAs and their target genes during the race. Identification of lipid metabolism of miRNAs and their target genes is an opportunity to provide information about biomarkers in Arabian racehorses on energy supply for race performance. Arabian racehorses have low glycogen content and high triglyceride storage capability, thanks to the high amount of oxidative type I fiber in their muscle tissue. Therefore, Arabian racehorses can provide higher levels of energy using more fat. The aim of this study is to determine the prerace and postrace expression levels of eight miRNAs in saliva that are known to affect lipid metabolism in Arabian racehorses. The expression level of eca-miR-33a was found to be statistically significant (P < .05). Target genes of eca-miR-33a have been copredicted as ABCA1, CROT, ABHD2, and SATB2, with three validated databases and other analysis tools. In conclusion, these findings revealed that both eca-miR-33a and its target genes could be potential core genes that play important roles in lipid metabolism in Arabian racehorses to provide energy during the race.

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

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.

Genetic Testing in the Horse

Genetic testing in horses began in the 1960s, when parentage testing using blood group markers became the standard. In the 1990s, parentage testing shifted from evaluating blood groups to DNA testing. The development of genetics and genomics in both human and veterinarian medicine, along with continued technological advances in the last 2 decades, has helped unravel the causal variants for many horse traits. Genetic testing is also now possible for a variety of phenotypic and disease traits and is used to assist in breeding and clinical management decisions. This article describes the genetic tests that are currently available for horses.

The Blood and Muscle Expression Pattern of the Equine TCAP Gene during the Race Track Training of Arabian Horses

Horse musculature has been shaped through evolution by environmental and human factors, which has resulted in several extraordinary adaptations to physical effort. Skeletal muscle plasticity results from the response to mechanical stimulation causing hypertrophy, where sarcomeres increase the muscle's cross-sectional area under the influence of contractile forces. The aim of the present study was the evaluation of transcript abundance of the telethonin (TCAP) gene, which is a part of the sarcomere macromolecular mechanosensory complex in the gluteus medius muscle, and the whole blood of Arabian horses during flat race training. The analysis, performed by quantitative PCR, showed an increase of TCAP transcripts in skeletal muscle. However, in whole blood, the transcript abundance decreased after the first stage of training and further increased after the second phase. The obtained results indicate a lack of similarity of TCAP gene expression in both tissues.