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Communications biology2022; 5(1); 1320; doi: 10.1038/s42003-022-04206-x

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

Abstract: 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.
Publication Date: 2022-12-13 PubMed ID: 36513809PubMed Central: PMC9748125DOI: 10.1038/s42003-022-04206-xGoogle Scholar: Lookup
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  • Journal Article
  • Research Support
  • N.I.H.
  • Extramural
  • Research Support
  • Non-U.S. Gov't

Summary

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This research explored the genetic factors affecting the performance of racing horses, identifying common protein-coding variants in certain genes that are key in shaping the racing phenotype.

Integrated Genomics Strategy

  • In order to identify genes contributing to exercise adaptation in racehorses, the researchers first combined results from population genomics with skeletal muscle exercise and training transcriptomic data.
  • Population genomics is the study of genetic variations within populations, whilst skeletal muscle transcriptomics refers to the analysis of RNA molecules involved in muscle function and adaptation to exercise.

Whole-Genome Resequencing

  • Following the first strategy, the team then performed whole-genome resequencing on Asian horses.
  • Whole-genome resequencing is a process where the entire genome of an individual is sequenced again, allowing the detection of all genetic variations in an individual, including rare and individual-specific genetic changes.

Key Genes Identified

  • The integration of these strategies revealed protein-coding variants in certain genes among three galloping racehorse breeds: Arabian, Mongolian, and Thoroughbred.
  • The key identified genes were G6PC2, HDAC9, KTN1, MYLK2, NTM, SLC16A1, and SYNDIG1, each playing central roles in muscle function, metabolism, and neurobiology.

Significance of the Findings

  • According to the research, these genes could be significant drivers of the racing phenotype, i.e., the observable traits contributing to athletic performance in racehorses.
  • Whilst racing potential is multifactorial, determined by a combination of genetic factors, environmental factors, and training, these findings provide evidence of a common genetic framework for racing traits among horses bred for racing.
  • Therefore, this research suggests that variations in these genes could be harnessed for the genetic improvement of horse populations towards specific types of racing.

Cite This Article

APA
Han H, McGivney BA, Allen L, Bai D, Corduff LR, Davaakhuu G, Davaasambuu J, Dorjgotov D, Hall TJ, Hemmings AJ, Holtby AR, Jambal T, Jargalsaikhan B, Jargalsaikhan U, Kadri NK, MacHugh DE, Pausch H, Readhead C, Warburton D, Dugarjaviin M, Hill EW. (2022). Common protein-coding variants influence the racing phenotype in galloping racehorse breeds. Commun Biol, 5(1), 1320. https://doi.org/10.1038/s42003-022-04206-x

Publication

ISSN: 2399-3642
NlmUniqueID: 101719179
Country: England
Language: English
Volume: 5
Issue: 1
Pages: 1320

Researcher Affiliations

Han, Haige
  • Inner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
McGivney, Beatrice A
  • Plusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.
Allen, Lucy
  • Royal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK.
Bai, Dongyi
  • Inner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Corduff, Leanne R
  • Plusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.
Davaakhuu, Gantulga
  • Institute of Biology, Mongolian Academy of Sciences, Peace Avenue 54B, Ulaanbaatar, 13330, Mongolia.
Davaasambuu, Jargalsaikhan
  • Ajnai Sharga Horse Racing Team, Encanto Town 210-11, Ikh Mongol State Street, 26th Khoroo, Bayanzurkh district, Ulaanbaatar, 13312, Mongolia.
Dorjgotov, Dulguun
  • School of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaatar, 661, Mongolia.
Hall, Thomas J
  • UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
Hemmings, Andrew J
  • Royal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK.
Holtby, Amy R
  • Plusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland.
Jambal, Tuyatsetseg
  • School of Industrial Technology, Mongolian University of Science and Technology, Ulaanbaatar, 661, Mongolia.
Jargalsaikhan, Badarch
  • Department of Obstetrics and Gynecology, Mongolian National University of Medical Sciences, Ulaanbaatar, 14210, Mongolia.
Jargalsaikhan, Uyasakh
  • Ajnai Sharga Horse Racing Team, Encanto Town 210-11, Ikh Mongol State Street, 26th Khoroo, Bayanzurkh district, Ulaanbaatar, 13312, Mongolia.
Kadri, Naveen K
  • Animal Genomics, Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland.
MacHugh, David E
  • UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
  • UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
Pausch, Hubert
  • Animal Genomics, Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland.
Readhead, Carol
  • Biology and Bioengineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Warburton, David
  • The Saban Research Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90027, USA.
Dugarjaviin, Manglai
  • Inner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China. dmanglai@163.com.
Hill, Emmeline W
  • Plusvital Ltd, The Highline, Dun Laoghaire Business Park, Dublin, A96 W5T3, Ireland. emmeline.hill@ucd.ie.
  • UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland. emmeline.hill@ucd.ie.

MeSH Terms

  • Horses / genetics
  • Animals
  • Phenotype
  • Genome
  • Genome-Wide Association Study
  • Genomics
  • Sequence Analysis, DNA

Grant Funding

  • NIEHS-1D43ES02286201 / NIH HHS
  • 19FFP6879 / Science Foundation Ireland

Conflict of Interest Statement

The authors declare the following competing interests: D.E.M. and E.W.H. are shareholders in Plusvital Ltd. B.A.M., L.R.C. and A.R.H. are employees of Plusvital Ltd. Other than the authors, the funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. All other authors declare no competing interests.

References

This article includes 143 references

Citations

This article has been cited 15 times.
  1. Jafari H, Abebe BK, Cong L, Ahmed Z, Zhaofei W, Sun M, Muhatai G, Chuzhao L, Dang R. Review: Genomic insights into the adaptive traits and stress resistance in modern horses. Stress Biol 2026 Jan 12;6(1):5.
    doi: 10.1007/s44154-025-00274-1pubmed: 41521281google scholar: lookup
  2. Huang Q, Ren W, Shan D, Su Y, Li Z, Li L, Wang R, Ma S, Wang J. Molecular Mechanisms Underlying Differences in Athletic Ability in Racehorses Based on Whole Transcriptome Sequencing. Biology (Basel) 2025 Oct 5;14(10).
    doi: 10.3390/biology14101364pubmed: 41154767google scholar: lookup
  3. Ding W, Gong W, Bou T, Shi L, Lin Y, Shi X, Li Z, Wu H, Dugarjaviin M, Bai D. Whole-Genome Resequencing Analysis of Athletic Traits in Grassland-Thoroughbred. Animals (Basel) 2025 Aug 7;15(15).
    doi: 10.3390/ani15152323pubmed: 40805113google scholar: lookup
  4. Ding W, Gong W, Bou T, Shi L, Lin Y, Shi X, Li Z, Wu H, Dugarjaviin M, Bai D. Analysis of ROH Characteristics Across Generations in Grassland-Thoroughbred Horses and Identification of Loci Associated with Athletic Traits. Animals (Basel) 2025 Jul 13;15(14).
    doi: 10.3390/ani15142068pubmed: 40723531google scholar: lookup
  5. Zhang X, Liu Y, Ma W, Li L, Bai D, Dugarjaviin M. Integrated Transcriptomic and Proteomic Analysis Reveals Differential Gene and Protein Expression and Signaling Pathways During a 20 Km Endurance Exercise and Recovery in Mongolian Horses. Animals (Basel) 2025 Jul 5;15(13).
    doi: 10.3390/ani15131981pubmed: 40646880google scholar: lookup
  6. Wang Y, Wang X, Wang Q, Xu K, Li Z, Zeng Q, Li J, Yin Y, Yang H. Investigation of the genetic determinism of amino acid digestibility traits in Duroc×Landrace×Yorkshire crossbred pigs. Anim Biosci 2025 Nov;38(11):2350-2363.
    doi: 10.5713/ab.24.0765pubmed: 40211847google scholar: lookup
  7. Wang J, Ren W, Li Z, Ma S, Li L, Wang R, Zeng Y, Meng J, Yao X. Blood-Based Whole-Genome Methylation Analysis of Yili Horses Pre- and Post-Racing. Animals (Basel) 2025 Jan 24;15(3).
    doi: 10.3390/ani15030326pubmed: 39943096google scholar: lookup
  8. Han M, Wang X, Du H, Cao Y, Zhao Z, Niu S, Bao X, Rong Y, Ao X, Guo F, Xia Q, Shang F, Wang R, Zhang Y. Genome-wide association study identifies candidate genes affecting body conformation traits of Zhongwei goat. BMC Genomics 2025 Jan 14;26(1):37.
    doi: 10.1186/s12864-024-11097-1pubmed: 39810085google scholar: lookup
  9. Wang C, Zeng Y, Wang J, Wang T, Li X, Shen Z, Meng J, Yao X. A genome-wide association study of the racing performance traits in Yili horses based on Blink and FarmCPU models. Sci Rep 2024 Nov 12;14(1):27648.
    doi: 10.1038/s41598-024-79014-wpubmed: 39532956google scholar: lookup
  10. Du M, Liu Y, Cao J, Li X, Wang N, He Q, Zhang L, Zhao B, Dugarjaviin M. Food from Equids-Commercial Fermented Mare's Milk (Koumiss) Products: Protective Effects against Alcohol Intoxication. Foods 2024 Jul 25;13(15).
    doi: 10.3390/foods13152344pubmed: 39123538google scholar: lookup
  11. Gmel AI, Mikko S, Ricard A, Velie BD, Gerber V, Hamilton NA, Neuditschko M. Using high-density SNP data to unravel the origin of the Franches-Montagnes horse breed. Genet Sel Evol 2024 Jul 10;56(1):53.
    doi: 10.1186/s12711-024-00922-6pubmed: 38987703google scholar: lookup
  12. Liu Y, Du M, Zhang L, Wang N, He Q, Cao J, Zhao B, Li X, Li B, Bou G, Zhao Y, Dugarjaviin M. Comparative Analysis of mRNA and lncRNA Expression Profiles in Testicular Tissue of Sexually Immature and Sexually Mature Mongolian Horses. Animals (Basel) 2024 Jun 7;14(12).
    doi: 10.3390/ani14121717pubmed: 38929336google scholar: lookup
  13. Liu Y, Du M, Li X, Zhang L, Zhao B, Wang N, Dugarjaviin M. Single-Cell Transcriptome Sequencing Reveals Molecular Expression Differences and Marker Genes in Testes during the Sexual Maturation of Mongolian Horses. Animals (Basel) 2024 Apr 23;14(9).
    doi: 10.3390/ani14091258pubmed: 38731262google scholar: lookup
  14. De Coster T, Zhao Y, Tšuiko O, Demyda-Peyrás S, Van Soom A, Vermeesch JR, Smits K. Genome-wide equine preimplantation genetic testing enabled by simultaneous haplotyping and copy number detection. Sci Rep 2024 Jan 23;14(1):2003.
    doi: 10.1038/s41598-023-48103-7pubmed: 38263320google scholar: lookup
  15. Dementieva N, Nikitkina E, Shcherbakov Y, Nikolaeva O, Mitrofanova O, Ryabova A, Atroshchenko M, Makhmutova O, Zaitsev A. The Genetic Diversity of Stallions of Different Breeds in Russia. Genes (Basel) 2023 Jul 24;14(7).
    doi: 10.3390/genes14071511pubmed: 37510415google scholar: lookup