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Genes & genomics2018; 40(11); 1249-1258; doi: 10.1007/s13258-018-0722-0

Genome-wide analyses of the Jeju, Thoroughbred, and Jeju crossbred horse populations using the high density SNP array.

Abstract: The Jeju horse is an indigenous Korean horse breed that is currently registered with the Food and Agriculture Organization of the United Nations. However, there is severe lack of genomic studies on Jeju horse. This study was conducted to investigate genetic characteristics of horses including Jeju horse, Thoroughbred and Jeju crossbred (Jeju × Thoroughbred) populations. We compared the genomes of three horse populations using the Equine SNP70 Beadchip array. Short-range Linkage disequilibrium was the highest in Thoroughbred, whereas r values were lowest in Jeju horse. Expected heterozygosity was the highest in Jeju crossbred (0.351), followed by the Thoroughbred (0.337) and Jeju horse (0.311). The level of inbreeding was slightly higher in Thoroughbred (- 0.009) than in Jeju crossbred (- 0.035) and Jeju horse (- 0.038). F value was the highest between Jeju horse and Thoroughbred (0.113), whereas Jeju crossbred and Thoroughbred showed the lowest value (0.031). The genetic relationship was further assessed by principal component analysis, suggesting that Jeju crossbred is more genetically similar to Thoroughbred than Jeju horse population. Additionally, we detected potential selection signatures, for example, in loci located on LCORL/NCAPG and PROP1 genes that are known to influence body. Genome-wide analyses of the three horse populations showed that all the breeds had somewhat a low level of inbreeding within each population. In the population structure analysis, we found that Jeju crossbred was genetically closer to Thoroughbred than Jeju horse. Furthermore, we identified several signatures of selection which might be associated with traits of interest. To our current knowledge, this study is the first genomic research, analyzing genetic relationships of Jeju horse, Thoroughbred and Jeju crossbred.
Publication Date: 2018-08-11 PubMed ID: 30099720DOI: 10.1007/s13258-018-0722-0Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

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.

This research focuses on the genomic characteristics and relationships of the indigenous Korean Jeju horse, the Thoroughbred, and the Jeju-Thoroughbred crossbreed, finding notable genetic similarities and differences in inbreeding and heterozygosity levels, as well as potential genes of interest.

Methodology and Analysis

  • The genomes of the three horse breeds were compared using the Equine SNP70 Beadchip array, a technology that enables high-resolution genetic mapping.
  • From this analysis, short-range Linkage Disequilibrium (a measure of the non-random association of alleles at different loci) was found to be highest in the Thoroughbred, while r values (recombination rates) were lowest in the Jeju horse.
  • The researchers calculated expected heterozygosity, which refers to the genetic diversity within a population. The highest heterozygosity was found in the Jeju-Thoroughbred crossbreed, followed by the Thoroughbred, and then the Jeju horse.

Genetic Characteristics

  • The level of inbreeding was slightly higher in the Thoroughbred than in the Jeju crossbred and Jeju horse breeds. Inbreeding can be an indicator of genetic diversity within a population, with higher levels often associated with reduction of diversity.
  • Using the F value (a measure of genetic distance between populations), the greatest genetic distance was found between the Thoroughbred and the Jeju horse, while the smallest distance was noted between the Thoroughbred and the Jeju-Thoroughbred crossbreed.

Genetic Relationships and Selection Signatures

  • A further analysis of genetic relationships through principal component analysis (PCA) suggested that the Jeju-Thoroughbred crossbreed is more genetically similar to the Thoroughbred than to the Jeju horse breed.
  • The researchers detected potential selection signatures (patterns of genetic variation consistent with a selective sweep) in loci located on LCORL/NCAPG and PROP1 genes, indicating these may influence certain body traits.
  • The identification of selection signatures could provide insights into the evolution and genetic adaptation of these horse breeds, which may be related to specific traits of interest for breeding or racing.

This study offers crucial insights into the genetic characteristics and relationships between these three horse populations. It underscores the importance of genomic research in understanding the genetic diversity and evolutionary adaptability of domestic species.

Cite This Article

APA
Kim NY, Seong HS, Kim DC, Park NG, Yang BC, Son JK, Shin SM, Woo JH, Shin MC, Yoo JH, Choi JW. (2018). Genome-wide analyses of the Jeju, Thoroughbred, and Jeju crossbred horse populations using the high density SNP array. Genes Genomics, 40(11), 1249-1258. https://doi.org/10.1007/s13258-018-0722-0

Publication

ISSN: 2092-9293
NlmUniqueID: 101481027
Country: Korea (South)
Language: English
Volume: 40
Issue: 11
Pages: 1249-1258

Researcher Affiliations

Kim, Nam Young
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Seong, Ha-Seung
  • College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Kim, Dae Cheol
  • Jeju Special Self-Governing Province Livestock Promotion Agency, Jeju, 63078, Republic of Korea.
Park, Nam Geon
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Yang, Byoung Chul
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Son, Jun Kyu
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Shin, Sang Min
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Woo, Jae Hoon
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Shin, Moon Cheol
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Yoo, Ji Hyun
  • Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 63242, Republic of Korea.
Choi, Jung-Woo
  • College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea. jungwoo.kor@gmail.com.

MeSH Terms

  • Animals
  • Body Size / genetics
  • Crosses, Genetic
  • Genome
  • Genotyping Techniques / standards
  • Heterozygote
  • Horses / genetics
  • Inbreeding
  • Linkage Disequilibrium
  • Oligonucleotide Array Sequence Analysis
  • Polymorphism, Single Nucleotide
  • Principal Component Analysis

Grant Funding

  • PJ01010503 / Rural Development Administration

References

This article includes 30 references
  1. Pryce JE, Hayes BJ, Bolormaa S, Goddard ME. Polymorphic regions affecting human height also control stature in cattle.. Genetics 2011 Mar;187(3):981-4.
    pubmed: 21212230doi: 10.1534/genetics.110.123943google scholar: lookup
  2. Seo JH, Park KD, Lee HK, Kong HS. Genetic diversity of Halla horses using microsatellite markers.. J Anim Sci Technol 2016;58:40.
    pubmed: 27891245doi: 10.1186/s40781-016-0120-6google scholar: lookup
  3. Makvandi-Nejad S, Hoffman GE, Allen JJ, Chu E, Gu E, Chandler AM, Loredo AI, Bellone RR, Mezey JG, Brooks SA, Sutter NB. Four loci explain 83% of size variation in the horse.. PLoS One 2012;7(7):e39929.
    pubmed: 22808074doi: 10.1371/journal.pone.0039929google scholar: lookup
  4. Bower MA, McGivney BA, Campana MG, Gu J, Andersson LS, Barrett E, Davis CR, Mikko S, Stock F, Voronkova V, Bradley DG, Fahey AG, Lindgren G, MacHugh DE, Sulimova G, Hill EW. The genetic origin and history of speed in the Thoroughbred racehorse.. Nat Commun 2012 Jan 24;3:643.
    pubmed: 22273681doi: 10.1038/ncomms1644google scholar: lookup
  5. Fu W, Dekkers JC, Lee WR, Abasht B. Linkage disequilibrium in crossbred and pure line chickens.. Genet Sel Evol 2015 Feb 26;47(1):11.
    pubmed: 25887184doi: 10.1186/s12711-015-0098-4google scholar: lookup
  6. 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.
    pubmed: 23349635doi: 10.1371/journal.pgen.1003211google scholar: lookup
  7. Gudbjartsson DF, Walters GB, Thorleifsson G, Stefansson H, Halldorsson BV, Zusmanovich P, Sulem P, Thorlacius S, Gylfason A, Steinberg S, Helgadottir A, Ingason A, Steinthorsdottir V, Olafsdottir EJ, Olafsdottir GH, Jonsson T, Borch-Johnsen K, Hansen T, Andersen G, Jorgensen T, Pedersen O, Aben KK, Witjes JA, Swinkels DW, den Heijer M, Franke B, Verbeek AL, Becker DM, Yanek LR, Becker LC, Tryggvadottir L, Rafnar T, Gulcher J, Kiemeney LA, Kong A, Thorsteinsdottir U, Stefansson K. Many sequence variants affecting diversity of adult human height.. Nat Genet 2008 May;40(5):609-15.
    pubmed: 18391951doi: 10.1038/ng.122google scholar: lookup
  8. Pritchard JK, Przeworski M. Linkage disequilibrium in humans: models and data.. Am J Hum Genet 2001 Jul;69(1):1-14.
    pubmed: 11410837doi: 10.1086/321275google scholar: lookup
  9. Do KT, Lee JH, Lee HK, Kim J, Park KD. Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse.. J Anim Sci Technol 2014;56:28.
    pubmed: 26290717doi: 10.1186/2055-0391-56-28google scholar: lookup
  10. Choi SK, Cho CY, Yeon SH, Cho BW, Cho GJ. Genetic characterization and polymorphisms for parentage testing of the Jeju horse using 20 microsatellite loci.. J Vet Med Sci 2008 Oct;70(10):1111-5.
    pubmed: 18981670doi: 10.1292/jvms.70.1111google scholar: lookup
  11. Pan C, Wu C, Jia W, Xu Y, Lei C, Hu S, Lan X, Chen H. A critical functional missense mutation (H173R) in the bovine PROP1 gene significantly affects growth traits in cattle.. Gene 2013 Dec 1;531(2):398-402.
    pubmed: 24029076doi: 10.1016/j.gene.2013.09.002google scholar: lookup
  12. Meadows JR, Chan EK, Kijas JW. Linkage disequilibrium compared between five populations of domestic sheep.. BMC Genet 2008 Sep 30;9:61.
    pubmed: 18826649doi: 10.1186/1471-2156-9-61google scholar: lookup
  13. WRIGHT S. The genetical structure of populations.. Ann Eugen 1951 Mar;15(4):323-54.
  14. McCue ME, Bannasch DL, Petersen JL, Gurr J, Bailey E, Binns MM, Distl O, Guérin G, Hasegawa T, Hill EW, Leeb T, Lindgren G, Penedo MC, Røed KH, Ryder OA, Swinburne JE, Tozaki T, Valberg SJ, Vaudin M, Lindblad-Toh K, Wade CM, Mickelson JR. A high density SNP array for the domestic horse and extant Perissodactyla: utility for association mapping, genetic diversity, and phylogeny studies.. PLoS Genet 2012 Jan;8(1):e1002451.
    pubmed: 22253606doi: 10.1371/journal.pgen.1002451google scholar: lookup
  15. 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.
    pubmed: 20932346doi: 10.1186/1471-2164-11-552google scholar: lookup
  16. Lee SH, Park BH, Sharma A, Dang CG, Lee SS, Choi TJ, Choy YH, Kim HC, Jeon KJ, Kim SD, Yeon SH, Park SB, Kang HS. Hanwoo cattle: origin, domestication, breeding strategies and genomic selection.. J Anim Sci Technol 2014;56:2.
    pubmed: 26290691doi: 10.1186/2055-0391-56-2google scholar: lookup
  17. Lu D, Sargolzaei M, Kelly M, Li C, Vander Voort G, Wang Z, Plastow G, Moore S, Miller SP. Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle.. Front Genet 2012;3:152.
    pubmed: 22912646doi: 10.3389/fgene.2012.00152google scholar: lookup
  18. Corbin LJ, Blott SC, Swinburne JE, Vaudin M, Bishop SC, Woolliams JA. Linkage disequilibrium and historical effective population size in the Thoroughbred horse.. Anim Genet 2010 Dec;41 Suppl 2:8-15.
  19. Binns MM, Boehler DA, Bailey E, Lear TL, Cardwell JM, Lambert DH. Inbreeding in the Thoroughbred horse.. Anim Genet 2012 Jun;43(3):340-2.
  20. 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.
    pubmed: 23418579doi: 10.1371/journal.pone.0056497google scholar: lookup
  21. Excoffier L, Slatkin M. Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.. Mol Biol Evol 1995 Sep;12(5):921-7.
  22. Signer-Hasler H, Flury C, Haase B, Burger D, Simianer H, Leeb T, Rieder S. A genome-wide association study reveals loci influencing height and other conformation traits in horses.. PLoS One 2012;7(5):e37282.
    pubmed: 22615965doi: 10.1371/journal.pone.0037282google scholar: lookup
  23. Deladoëy J, Flück C, Büyükgebiz A, Kuhlmann BV, Eblé A, Hindmarsh PC, Wu W, Mullis PE. "Hot spot" in the PROP1 gene responsible for combined pituitary hormone deficiency.. J Clin Endocrinol Metab 1999 May;84(5):1645-50.
    pubmed: 10323394doi: 10.1210/jcem.84.5.5681google scholar: lookup
  24. Hill WG, Robertson A. Linkage disequilibrium in finite populations.. Theor Appl Genet 1968 Jun;38(6):226-31.
    pubmed: 24442307doi: 10.1007/BF01245622google scholar: lookup
  25. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
    pubmed: 19892987doi: 10.1126/science.1178158google scholar: lookup
  26. Jung YH, Han SH, Shin T, Oh MY. Genetic characterization of horse bone excavated from the Kwakji archaeological site, Jeju, Korea.. Mol Cells 2002 Oct 31;14(2):224-30.
    pubmed: 12442894
  27. Ardlie KG, Kruglyak L, Seielstad M. Patterns of linkage disequilibrium in the human genome.. Nat Rev Genet 2002 Apr;3(4):299-309.
    pubmed: 11967554doi: 10.1038/nrg777google scholar: lookup
  28. Davis SW, Castinetti F, Carvalho LR, Ellsworth BS, Potok MA, Lyons RH, Brinkmeier ML, Raetzman LT, Carninci P, Mortensen AH, Hayashizaki Y, Arnhold IJ, Mendonça BB, Brue T, Camper SA. Molecular mechanisms of pituitary organogenesis: In search of novel regulatory genes.. Mol Cell Endocrinol 2010 Jul 8;323(1):4-19.
    pubmed: 20025935doi: 10.1016/j.mce.2009.12.012google scholar: lookup
  29. Sornson MW, Wu W, Dasen JS, Flynn SE, Norman DJ, O'Connell SM, Gukovsky I, Carrière C, Ryan AK, Miller AP, Zuo L, Gleiberman AS, Andersen B, Beamer WG, Rosenfeld MG. Pituitary lineage determination by the Prophet of Pit-1 homeodomain factor defective in Ames dwarfism.. Nature 1996 Nov 28;384(6607):327-33.
    pubmed: 8934515doi: 10.1038/384327a0google scholar: lookup
  30. Weir BS, Cockerham CC. ESTIMATING F-STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE.. Evolution 1984 Nov;38(6):1358-1370.

Citations

This article has been cited 9 times.
  1. Lee J, Kang YJ, Kim YK, Choi JY, Shin SM, Shin MC. Exploring the Influence of Growth-Associated Host Genetics on the Initial Gut Microbiota in Horses.. Genes (Basel) 2023 Jun 27;14(7).
    doi: 10.3390/genes14071354pubmed: 37510259google scholar: lookup
  2. Liu LL, Chen B, Chen SL, Liu WJ. A Genome-Wide Association Study of the Chest Circumference Trait in Xinjiang Donkeys Based on Whole-Genome Sequencing Technology.. Genes (Basel) 2023 May 14;14(5).
    doi: 10.3390/genes14051081pubmed: 37239441google scholar: lookup
  3. Cardinali I, Giontella A, Tommasi A, Silvestrelli M, Lancioni H. Unlocking Horse Y Chromosome Diversity.. Genes (Basel) 2022 Dec 2;13(12).
    doi: 10.3390/genes13122272pubmed: 36553539google scholar: lookup
  4. Kim YM, Ha SJ, Seong HS, Choi JY, Baek HJ, Yang BC, Choi JW, Kim NY. Identification of Copy Number Variations in Four Horse Breed Populations in South Korea.. Animals (Basel) 2022 Dec 12;12(24).
    doi: 10.3390/ani12243501pubmed: 36552421google scholar: lookup
  5. Lee W, Mun S, Choi SY, Oh DY, Park YS, Han K. Comparative Analysis for Genetic Characterization in Korean Native Jeju Horse.. Animals (Basel) 2021 Jun 28;11(7).
    doi: 10.3390/ani11071924pubmed: 34203473google scholar: lookup
  6. Lee KE, Kim JG, Lee H, Kim BS. Behavioral and cardiac responses in mature horses exposed to a novel object.. J Anim Sci Technol 2021 May;63(3):651-661.
    doi: 10.5187/jast.2021.e51pubmed: 34189512google scholar: lookup
  7. Srikanth K, Kim NY, Park W, Kim JM, Kim KD, Lee KT, Son JH, Chai HH, Choi JW, Jang GW, Kim H, Ryu YC, Nam JW, Park JE, Kim JM, Lim D. Comprehensive genome and transcriptome analyses reveal genetic relationship, selection signature, and transcriptome landscape of small-sized Korean native Jeju horse.. Sci Rep 2019 Nov 13;9(1):16672.
    doi: 10.1038/s41598-019-53102-8pubmed: 31723199google scholar: lookup
  8. Khummuang S, Lee HG, Joo SS, Park JW, Choi JY, Oh JH, Kim KH, Youn HH, Kim M, Cho BW. Comparison for immunophysiological responses of Jeju and Thoroughbred horses after exercise.. Asian-Australas J Anim Sci 2020 Mar;33(3):424-435.
    doi: 10.5713/ajas.19.0260pubmed: 31480163google scholar: lookup
  9. Seong HS, Kim NY, Kim DC, Hwang NH, Son DH, Shin JS, Lee JH, Chung WH, Choi JW. Whole genome sequencing analysis of horse populations inhabiting the Korean Peninsula and Przewalski's horse.. Genes Genomics 2019 Jun;41(6):621-628.
    doi: 10.1007/s13258-019-00795-wpubmed: 30941726google scholar: lookup