Exploring the genetics of trotting racing ability in horses using a unique Nordic horse model.
Abstract: Horses 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. Results: Pooled sequence data from three Nordic horse populations were used for F analysis. After strict filtering, F 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. Conclusions: Not 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.
Publication Date: 2019-02-04 PubMed ID: 30717660PubMed Central: PMC6360714DOI: 10.1186/s12864-019-5484-9Google Scholar: Lookup
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Summary
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The study aims to pinpoint genetic factors related to trotting racing ability in horses by analyzing pooled sequence data from three Nordic horse populations. With a focus on 580 differentiated regions and numerous related genes, it demonstrates the polygenic nature of racing ability highlighting the influence of genes related to musculature and neurological development.
Methodology
- The researchers used a pooled sequence analysis using a unique Nordic horse model with data from three Nordic horse populations.
- They performed an F analysis on the pooled sequence data. This is a statistical method commonly used in genetics to analyze differences in genetic variance within and between populations.
- 580 differentiated regions were identified for trotting racing ability after a thorough filtering process.
Results
- Candidate regions on equine chromosomes 7 and 11 showed the highest number of SNPs (Single Nucleotide Polymorphisms), with 214 and 147 respectively. These are variations at a single position in a DNA sequence among individuals.
- Gene Ontology (GO) analyses were carried out to understand the functions of the genes present in these regions.
- This identified multiple genes connected to intelligence, energy metabolism, and skeletal development as potential candidate genes for racing ability.
- However, only one of the candidate regions overlapped with a known racing ability Quantitative Trait Loci (QTL), a region of DNA that correlates with variations in a trait.
Conclusion
- The study identified numerous candidate regions contributing to trotting racing ability in horses, underlining the complex, polygenic nature of this trait.
- The findings suggest that racing ability is likely due to the cumulative effects of many genetic variants spread throughout the genome.
- These candidate regions implicated genes affecting both musculature and neurological development as having influence on racing ability.
This study advances our understanding of the complex genetic factors contributing to trotting racing ability in horses, highlighting potential areas for further research and breeding efforts.
Cite This Article
APA
Velie BD, Lillie M, Fegraeus KJ, Rosengren MK, Solé M, Wiklund M, Ihler CF, Strand E, Lindgren G.
(2019).
Exploring the genetics of trotting racing ability in horses using a unique Nordic horse model.
BMC Genomics, 20(1), 104.
https://doi.org/10.1186/s12864-019-5484-9 Publication
Researcher Affiliations
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. brandon.velie@sydney.edu.au.
- School of Life and Environmental Sciences, University of Sydney, Sydney, Australia. brandon.velie@sydney.edu.au.
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
- Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Oslo, Norway.
- Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Oslo, Norway.
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Livestock Genetics, Department of Biosystems, KU Leuven, Leuven, Belgium.
MeSH Terms
- Animals
- Breeding
- Energy Metabolism
- Female
- Genome
- Genome-Wide Association Study
- Horses / genetics
- Horses / physiology
- Intelligence
- Male
- Models, Animal
- Muscle Development
- Phenotype
- Polymorphism, Single Nucleotide
- Running
- Sequence Analysis, DNA
Grant Funding
- 2016-00947 / Svenska Forskningsru00e5det Formas (SE)
Conflict of Interest Statement
ETHICS APPROVAL AND CONSENT TO PARTICIPATE: All experimental procedures and sample collection methods were approved by the Ethics Committee for Animal Experiments in Uppsala, Sweden [Number: C 121/14]. Samples used in the study were already available at either the Animal Genetics Laboratory at SLU in Uppsala, Sweden or the Department of Basic Sciences and Aquatic Medicine at the Norwegian University of Life Sciences in Oslo, Norway as they previously had been used for parentage testing. Permission to use the samples was granted from the Swedish Trotting Association and the Norwegian Trotting Association (the owners of the samples per the rules/guidelines of the industry). CONSENT FOR PUBLICATION: Not applicable. COMPETING INTERESTS: The authors have the following interest: GL is a co-inventor on a granted patent concerning commercial testing of the DMRT3 mutation: A method to predict the pattern of locomotion in horses. PCT EP 12747875.8. European patent registration date: 2011-05-05, US patent registration date: 2011-08-03. There are no further patents, products in development, or marketed products to declare. PUBLISHER’S NOTE: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
This article includes 41 references
- Meadows JRS, Lindblad-Toh K. Dissecting evolution and disease using comparative vertebrate genomics.. Nat Rev Genet 2017 Oct;18(10):624-636.
- Andersson L. Domestic animals as models for biomedical research.. Ups J Med Sci 2016;121(1):1-11.
- Petersen JL, Mickelson JR, Rendahl AK, Valberg SJ, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Capomaccio S, Cappelli K, Cothran EG, Distl O, Fox-Clipsham L, Graves KT, Guérin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MC, Piercy RJ, Raekallio M, Rieder S, Røed KH, Swinburne J, Tozaki T, Vaudin M, Wade CM, McCue ME. Genome-wide analysis reveals selection for important traits in domestic horse breeds.. PLoS Genet 2013;9(1):e1003211.
- Andersson L. How selective sweeps in domestic animals provide new insight into biological mechanisms.. J Intern Med 2012 Jan;271(1):1-14.
- Andersson LS, Larhammar M, Memic F, Wootz H, Schwochow D, Rubin CJ, Patra K, Arnason T, Wellbring L, Hjälm G, Imsland F, Petersen JL, McCue ME, Mickelson JR, Cothran G, Ahituv N, Roepstorff L, Mikko S, Vallstedt A, Lindgren G, Andersson L, Kullander K. Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice.. Nature 2012 Aug 30;488(7413):642-6.
- Petersen JL, Mickelson JR, Cothran EG, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Distl O, Felicetti M, Fox-Clipsham L, Graves KT, Guérin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MC, Piercy RJ, Raekallio M, Rieder S, Røed KH, Silvestrelli M, Swinburne J, Tozaki T, Vaudin M, M Wade C, McCue ME. Genetic diversity in the modern horse illustrated from genome-wide SNP data.. PLoS One 2013;8(1):e54997.
- Svensk Travsport:Uppfödning. https://www.travsport.se/artikel/uppfodning (2018). Accessed 31 Aug 2018.
- Det Norske Travselskap: Næring og Avl. https://www.travsport.no (2018). Accessed 31 Aug 2018.
- Föreningen Nordsvenska Hästen. http://www.nordsvensken.org/ (2018). Accessed 31 Aug 2018.
- Jäderkvist Fegraeus K, Velie BD, Axelsson J, Ang R, Hamilton NA, Andersson L, Meadows JRS, Lindgren G. A potential regulatory region near the EDN3 gene may control both harness racing performance and coat color variation in horses.. Physiol Rep 2018 May;6(10):e13700.
- Bohin O, Rönningen K. Inbreeding and relationship within the north-Swedish horse. Acta Agric Scand 1975;25:121–125.
- Árnason T. Trends and asymptotic limits for racing speed in Standardbred trotters. Livest Prod Sci 2001;72:135–145.
- Árnason T, Bendroth M, Philipsson J, Henriksson K, Darenius A. Genetic evaluations of Swedish trotters-state of breeding evaluation in trotters. Proceedings of the European Federation of Animal Science symposium of the commission on horse production Wageningen, the Netherlands: Pudoc; 1989. pp. 106–129.
- Pedigree Online All Breed Database. https://www.allbreedpedigree.com/ (2018). Accessed 31 Aug 2018.
- Ricard A, Robert C, Blouin C, Baste F, Torquet G, Morgenthaler C, Rivière J, Mach N, Mata X, Schibler L, Barrey E. Endurance Exercise Ability in the Horse: A Trait with Complex Polygenic Determinism.. Front Genet 2017;8:89.
- Hermey G. The Vps10p-domain receptor family.. Cell Mol Life Sci 2009 Aug;66(16):2677-89.
- Reitz C, Tosto G, Vardarajan B, Rogaeva E, Ghani M, Rogers RS, Conrad C, Haines JL, Pericak-Vance MA, Fallin MD, Foroud T, Farrer LA, Schellenberg GD, George-Hyslop PS, Mayeux R. Independent and epistatic effects of variants in VPS10-d receptors on Alzheimer disease risk and processing of the amyloid precursor protein (APP).. Transl Psychiatry 2013 May 14;3(5):e256.
- Reitz C. The role of the retromer complex in aging-related neurodegeneration: a molecular and genomic review.. Mol Genet Genomics 2015 Apr;290(2):413-27.
- Binzer S, Stenager E, Binzer M, Kyvik KO, Hillert J, Imrell K. Genetic analysis of the isolated Faroe Islands reveals SORCS3 as a potential multiple sclerosis risk gene.. Mult Scler 2016 May;22(6):733-40.
- Breiderhoff T, Christiansen GB, Pallesen LT, Vaegter C, Nykjaer A, Holm MM, Glerup S, Willnow TE. Sortilin-related receptor SORCS3 is a postsynaptic modulator of synaptic depression and fear extinction.. PLoS One 2013;8(9):e75006.
- Lionel AC, Crosbie J, Barbosa N, Goodale T, Thiruvahindrapuram B, Rickaby J, Gazzellone M, Carson AR, Howe JL, Wang Z, Wei J, Stewart AF, Roberts R, McPherson R, Fiebig A, Franke A, Schreiber S, Zwaigenbaum L, Fernandez BA, Roberts W, Arnold PD, Szatmari P, Marshall CR, Schachar R, Scherer SW. Rare copy number variation discovery and cross-disorder comparisons identify risk genes for ADHD.. Sci Transl Med 2011 Aug 10;3(95):95ra75.
- Hu ZL, Park CA, Reecy JM. Developmental progress and current status of the Animal QTLdb.. Nucleic Acids Res 2016 Jan 4;44(D1):D827-33.
- Frischknecht M, Jagannathan V, Plattet P, Neuditschko M, Signer-Hasler H, Bachmann I, Pacholewska A, Drögemüller C, Dietschi E, Flury C, Rieder S, Leeb T. A Non-Synonymous HMGA2 Variant Decreases Height in Shetland Ponies and Other Small Horses.. PLoS One 2015;10(10):e0140749.
- Metzger J, Schrimpf R, Philipp U, Distl O. Expression levels of LCORL are associated with body size in horses.. PLoS One 2013;8(2):e56497.
- Avila F, Mickelson JR, Schaefer RJ, McCue ME. Genome-Wide Signatures of Selection Reveal Genes Associated With Performance in American Quarter Horse Subpopulations.. Front Genet 2018;9:249.
- Tang SL, Gao YL, Wen-Zhong H. Knockdown of TRIM37 suppresses the proliferation, migration and invasion of glioma cells through the inactivation of PI3K/Akt signaling pathway.. Biomed Pharmacother 2018 Mar;99:59-64.
- Jobic F, Morin G, Vincent-Delorme C, Cadet E, Cabry R, Mathieu-Dramard M, Copin H, Rochette J, Jedraszak G. New intragenic rearrangements in non-Finnish mulibrey nanism.. Am J Med Genet A 2017 Oct;173(10):2782-2788.
- Mosher DS, Quignon P, Bustamante CD, Sutter NB, Mellersh CS, Parker HG, Ostrander EA. A mutation in the myostatin gene increases muscle mass and enhances racing performance in heterozygote dogs.. PLoS Genet 2007 May 25;3(5):e79.
- Hill EW, McGivney BA, Gu J, Whiston R, Machugh DE. A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses.. BMC Genomics 2010 Oct 11;11:552.
- McGivney BA, Browne JA, Fonseca RG, Katz LM, Machugh DE, Whiston R, Hill EW. MSTN genotypes in Thoroughbred horses influence skeletal muscle gene expression and racetrack performance.. Anim Genet 2012 Dec;43(6):810-2.
- Árnason T. Genetic evaluation of Swedish Standardbred trotters for racing performance traits and racing status. J Anim Breed Genet 1999;116:387–398.
- Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform.. Bioinformatics 2009 Jul 15;25(14):1754-60.
- McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.. Genome Res 2010 Sep;20(9):1297-303.
- Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The Sequence Alignment/Map format and SAMtools.. Bioinformatics 2009 Aug 15;25(16):2078-9.
- Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.. Bioinformatics 2011 Nov 1;27(21):2987-93.
- Kofler R, Orozco-terWengel P, De Maio N, Pandey RV, Nolte V, Futschik A, Kosiol C, Schlötterer C. PoPoolation: a toolbox for population genetic analysis of next generation sequencing data from pooled individuals.. PLoS One 2011 Jan 6;6(1):e15925.
- Karlsson EK, Baranowska I, Wade CM, Salmon Hillbertz NH, Zody MC, Anderson N, Biagi TM, Patterson N, Pielberg GR, Kulbokas EJ 3rd, Comstock KE, Keller ET, Mesirov JP, von Euler H, Kämpe O, Hedhammar A, Lander ES, Andersson G, Andersson L, Lindblad-Toh K. Efficient mapping of mendelian traits in dogs through genome-wide association.. Nat Genet 2007 Nov;39(11):1321-8.
- R Development Core Team: R-A Language and Environment for Statistical Computing. https://www.r-project.org/. (2018). Accessed 13 Jan 2018.
- Thomas PD, Campbell MJ, Kejariwal A, Mi H, Karlak B, Daverman R, Diemer K, Muruganujan A, Narechania A. PANTHER: a library of protein families and subfamilies indexed by function.. Genome Res 2003 Sep;13(9):2129-41.
- Mi H, Poudel S, Muruganujan A, Casagrande JT, Thomas PD. PANTHER version 10: expanded protein families and functions, and analysis tools.. Nucleic Acids Res 2016 Jan 4;44(D1):D336-42.
- Neph S, Kuehn MS, Reynolds AP, Haugen E, Thurman RE, Johnson AK, Rynes E, Maurano MT, Vierstra J, Thomas S, Sandstrom R, Humbert R, Stamatoyannopoulos JA. BEDOPS: high-performance genomic feature operations.. Bioinformatics 2012 Jul 15;28(14):1919-20.
Citations
This article has been cited 4 times.- Rosengren MK, Sigurðardóttir H, Eriksson S, Naboulsi R, Jouni A, Novoa-Bravo M, Albertsdóttir E, Kristjánsson Þ, Rhodin M, Viklund Å, Velie BD, Negro JJ, Solé M, Lindgren G. A QTL for conformation of back and croup influences lateral gait quality in Icelandic horses. BMC Genomics 2021 Apr 14;22(1):267.
- Kvist L, Honka J, Niskanen M, Liedes O, Aspi J. Selection in the Finnhorse, a native all-around horse breed. J Anim Breed Genet 2021 Mar;138(2):188-203.
- Kingsley NB, Kern C, Creppe C, Hales EN, Zhou H, Kalbfleisch TS, MacLeod JN, Petersen JL, Finno CJ, Bellone RR. Functionally Annotating Regulatory Elements in the Equine Genome Using Histone Mark ChIP-Seq. Genes (Basel) 2019 Dec 18;11(1).
- Fegraeus K, Rosengren MK, Naboulsi R, Orlando L, Åbrink M, Jouni A, Velie BD, Raine A, Egner B, Mattsson CM, Lång K, Zhigulev A, Björck HM, Franco-Cereceda A, Eriksson P, Andersson G, Sahlén P, Meadows JRS, Lindgren G. An endothelial regulatory module links blood pressure regulation with elite athletic performance. PLoS Genet 2024 Jun;20(6):e1011285.
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