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Home / Equine Research Bank / Front Genet / Endurance Exercise Ability in the Horse: A Trait with Comple...
Frontiers in genetics2017; 8; 89; doi: 10.3389/fgene.2017.00089

Endurance Exercise Ability in the Horse: A Trait with Complex Polygenic Determinism.

Abstract: Endurance horses are able to run at more than 20 km/h for 160 km (in bouts of 30-40 km). This level of performance is based on intense aerobic metabolism, effective body heat dissipation and the ability to endure painful exercise. The known heritabilities of endurance performance and exercise-related physiological traits in Arabian horses suggest that adaptation to extreme endurance exercise is influenced by genetic factors. The objective of the present genome-wide association study (GWAS) was to identify single nucleotide polymorphisms (SNPs) related to endurance racing performance in 597 Arabian horses. The performance traits studied were the total race distance, average race speed and finishing status (qualified, eliminated or retired). We used three mixed models that included a fixed allele or genotype effect and a random, polygenic effect. Quantile-quantile plots were acceptable, and the regression coefficients for actual vs. expected log-values ranged from 0.865 to 1.055. The GWAS revealed five significant quantitative trait loci (QTL) corresponding to 6 SNPs on chromosomes 6, 1, 7, 16, and 29 (two SNPs) with corrected -values from 1.7 × 10 to 1.8 × 10. Annotation of these 5 QTL revealed two genes: sortilin-related VPS10-domain-containing receptor 3 () on chromosome 1 is involved in protein trafficking, and solute carrier family 39 member 12 () on chromosome 29 is active in zinc transport and cell homeostasis. These two coding genes could be involved in neuronal tissues (CNS). The other QTL on chromosomes 6, 7, and 16 may be involved in the regulation of the gene expression through non-coding RNAs, CpG islands and transcription factor binding sites. On chromosome 6, a new candidate equine long non-coding RNA ( ortholog: opposite antisense transcript 1 of potassium voltage-gated channel subfamily Q member 1 gene) was predicted and validated by RT-qPCR in primary cultures of equine myoblasts and fibroblasts. This lncRNA could be one element of the cardiac rhythm regulation. Our GWAS revealed that equine performance during endurance races is a complex polygenic trait, and is partially governed by at least 5 QTL: two coding genes involved in neuronal tissues and three other loci with many regulatory functions such as slowing down heart rate.
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Publication Date: 2017-06-28 PubMed ID: 28702049PubMed Central: PMC5488500DOI: 10.3389/fgene.2017.00089Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research paper investigates the genetic factors influencing the physical endurance of Arabian horses. The researchers conducted a genome-wide association study to identify the specific single nucleotide polymorphisms (SNPs) that contribute to traits like racing speed, total race distance, and finishing status in endurance racing.

Methodology

  • The research team employed a genome-wide association study (GWAS), with the goal of identifying specific single nucleotide polymorphisms (SNPs) that are associated with endurance racing performance in Arabian horses.
  • They studied 597 Arabian horses and analyzed traits like total race distance, racing speed, and finishing status–whether the horse qualified, was eliminated or retired.
  • Three mixed models were used for the study. These models comprised a fixed allele or genotype effect, and a fluctuating polygenic effect.

Results

  • The GWAS revealed five significant quantitative trait loci (QTL) pertaining to 6 SNPs on five different chromosomes (6, 1, 7, 16, and 29).
  • Of these, two genes responsible for protein trafficking and zinc transport and cell homeostasis were identified on chromosome 1 and chromosome 29 respectively.
  • These identified genes, sortilin-related VPS10-domain-containing receptor 3 (SORCS3) and solute carrier family 39 member 12 (SLC39A12), both likely have roles in the central nervous system(CNS).
  • The QTLs on chromosomes 6, 7, and 16 could potentially be involved in regulating gene expression through non-coding RNAs, CpG islands, and transcription factor binding sites.
  • A new candidate equine long non-coding RNA (lncRNA) was predicted on chromosome 6, which might have a role in regulating cardiac rhythm.

Conclusion

  • The researchers concluded that the physical endurance of Arabian horses during a race is a complex trait determined by many genetic factors.
  • They identified at least 5 QTLs that play a significant role: two coding genes that function in the nervous tissues and three other locations that perform regulatory roles, such as controlling heart rate.

Implications

  • This research has potential implications for the selective breeding of Arabian horses. By understanding the genetic markers that influence endurance, breeders could potentially optimize these traits in future generations of racing horses.

Cite This Article

APA
Ricard A, Robert C, Blouin C, Baste F, Torquet G, Morgenthaler C, Rivière J, Mach N, Mata X, Schibler L, Barrey E. (2017). Endurance Exercise Ability in the Horse: A Trait with Complex Polygenic Determinism. Front Genet, 8, 89. https://doi.org/10.3389/fgene.2017.00089

Publication

Frontiers in genetics
ISSN: 1664-8021
NlmUniqueID: 101560621
Country: Switzerland
Language: English
Volume: 8
Pages: 89
PII: 89

Researcher Affiliations

Ricard, Anne
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
  • Institut Français du Cheval et de l'Equitation, Département Recherche et InnovationExmes, France.
Robert, Céline
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
  • Ecole Nationale Vétérinaire d'AlfortMaisons Alfort, France.
Blouin, Christine
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Baste, Fanny
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Torquet, Gwendoline
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Morgenthaler, Caroline
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Rivière, Julie
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Mach, Nuria
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Mata, Xavier
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Schibler, Laurent
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.
Barrey, Eric
  • Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Département Sciences du Vivant, UMR 1313 Génétique Animale et Biologie IntégrativeJouy-en-Josas, France.

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