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Animal bioscience2021; 35(4); 527-532; doi: 10.5713/ab.21.0272

Evaluation of recent changes in genetic variability in Thoroughbred horses based on microsatellite markers parentage panel in Korea.

Abstract: In this study, we aimed to investigate the recent changes such as allele frequencies and total probability of exclusion (PE) in Thoroughbred horses in Korea using short tandem repeat (STR) parentage panels between 2006 and 2016. Methods: The genotype was provided for 5,988 horse samples with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3 and VHL20). Results: In our study, the observed number of alleles per locus ranged from 3 (HMS1) to 9 (ASB17) in 2006 and 4 (HMS1) to 9 (ASB2) in 2016, with a mean value of 6.28 and 6.40, respectively. Of the 15 markers, HMS2, HTG4, and CA425 loci had relatively low polymorphism information content (<0.5000) in the Thoroughbred population. Mean levels of genetic variation in 2006 and 2016 were observed heterozygosity (HO) = 0.708, and expected heterozygosity (HE) = 0.685, as well as and HO = 0.699 and HE = 0.682, respectively. The PE was calculated for each group based on the allele frequencies of 14 or 15 STRs. The 2006 survey analyzed that PE was 0.9998, but it increased to 0.9999 in 2016 after the HMS2 marker was added in 2011. The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred population. Conclusions: The current STR panel is still a powerful tool for parentage verification that contributes to the maintenance of integrity in the Thoroughbred horses. However, continuous monitoring genetic variability is necessary.
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Publication Date: 2021-08-25 PubMed ID: 34530514PubMed Central: PMC8902210DOI: 10.5713/ab.21.0272Google 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.

This study examines the changes in allele frequencies and genetic variability in Thoroughbred horses in Korea over the decade between 2006 and 2016, using microsatellite markers. The researchers concluded that their current method is effective for identifying parentage, but ongoing monitoring of genetic variability is required.

Methods and Data Collection

  • Genotype data were collected from nearly 6,000 Korean Thoroughbred horse samples.
  • The researchers used 15 specific microsatellite markers, which are sections of DNA that contain short sequences repeated many times.
  • The aim was to track the frequency of these specific markers (or alleles) over the decade-long period, to monitor genetic changes in the horse population.

Results

  • The frequency of these alleles varied, with anywhere from 3 to 9 observed per genetic locus in 2006, and 4 to 9 per locus in 2016.
  • Three of the markers (HMS2, HTG4, and CA425) showed relatively low polymorphism information content, meaning there was less variation in these genes in the Thoroughbred population.
  • Statistical measures of observed heterozygosity (HO; variety within individual’s genes) and expected heterozygosity (HE; expected genetic diversity) were calculated and found to be similar in 2006 and 2016.
  • The total probability of exclusion (PE), a measure used to determine if a certain parent can be excluded as the biological parent of an offspring based on genetic markers, was also calculated. It was found to be high in both 2006 and 2016, increasing slightly after the addition of the HMS2 marker in 2011.

Conclusions

  • The researchers concluded that the current panel of microsatellite markers is a powerful tool for verifying parentage in the Thoroughbred horse population, which is important for maintaining the integrity of the breed.
  • However, they emphasized the importance of ongoing monitoring of genetic variability in the population to ensure long-term breed health and diversity.

Cite This Article

APA
Park CS, Lee SY, Cho GJ. (2021). Evaluation of recent changes in genetic variability in Thoroughbred horses based on microsatellite markers parentage panel in Korea. Anim Biosci, 35(4), 527-532. https://doi.org/10.5713/ab.21.0272

Publication

Animal bioscience
ISSN: 2765-0189
NlmUniqueID: 101774366
Country: Korea (South)
Language: English
Volume: 35
Issue: 4
Pages: 527-532

Researcher Affiliations

Park, Chul Song
  • College of Veterinary Medicine and Institute of Equine Medicine, Kyungpook National University, Daegu 41566, Korea.
Lee, Sun Young
  • Racing Laboratory, Korea Racing Association, Gwacheon 13822, Korea.
Cho, Gil Jae
  • College of Veterinary Medicine and Institute of Equine Medicine, Kyungpook National University, Daegu 41566, Korea.

Grant Funding

  • 2020R1I1A3067905 / National Research Foundation of Korea
  • Ministry of Education, Science and Technology

Conflict of Interest Statement

. We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.

References

This article includes 18 references
  1. Gaffney B, Cunningham EP. Estimation of genetic trend in racing performance of thoroughbred horses.. Nature 1988 Apr 21;332(6166):722-4.
    doi: 10.1038/332722a0pubmed: 3357536google scholar: lookup
  2. Lee SY, Cho GJ. Parentage testing of Thoroughbred horse in Korea using microsatellite DNA typing.. J Vet Sci 2006 Mar;7(1):63-7.
    doi: 10.4142/jvs.2006.7.1.63pmc: PMC3242088pubmed: 16434852google scholar: lookup
  3. Ellegren H, Johansson M, Sandberg K, Andersson L. Cloning of highly polymorphic microsatellites in the horse.. Anim Genet 1992;23(2):133-42.
    doi: 10.1111/j.1365-2052.1992.tb00032.xpubmed: 1443772google scholar: lookup
  4. Marklund S, Ellegren H, Eriksson S, Sandberg K, Andersson L. Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites.. Anim Genet 1994 Feb;25(1):19-23.
    doi: 10.1111/j.1365-2052.1994.tb00050.xpubmed: 8161016google scholar: lookup
  5. Li C, Wang Z, Liu B. Evaluation of the genetic relationship among ten Chinese indigenous pig breeds with twenty-six microsatellite markers. Asian-Australas J Anim Sci 2004;17:441–4.
    doi: 10.5713/ajas.2004.441google scholar: lookup
  6. Zhang JH, Xiong YZ, Deng CY. Correlations of genic heterozygosity and variances with heterosis in a pig population revealed by microsatellite DNA marker. Asian-Australas J Anim Sci 2005;18:620–5.
    doi: 10.5713/ajas.2005.620google scholar: lookup
  7. Bowling AT, Eggleston-Stott ML, Byrns G, Clark RS, Dileanis S, Wictum E. Validation of microsatellite markers for routine horse parentage testing.. Anim Genet 1997 Aug;28(4):247-52.
    doi: 10.1111/j.1365-2052.1997.00123.xpubmed: 9345720google scholar: lookup
  8. Tozaki T, Kakoi H, Mashima S, Hirota K, Hasegawa T, Ishida N, Miura N, Choi-Miura NH, Tomita M. Population study and validation of paternity testing for Thoroughbred horses by 15 microsatellite loci.. J Vet Med Sci 2001 Nov;63(11):1191-7.
    doi: 10.1292/jvms.63.1191pubmed: 11767052google scholar: lookup
  9. Kim SM, Yun SW, Cho GJ. Assessment of genetic diversity using microsatellite markers to compare donkeys (Equus asinus) with horses (Equus caballus).. Anim Biosci 2021 Sep;34(9):1460-1465.
    doi: 10.5713/ab.20.0860pmc: PMC8495341pubmed: 33902168google scholar: lookup
  10. Dimsoski P. Development of a 17-plex microsatellite polymerase chain reaction kit for genotyping horses.. Croat Med J 2003 Jun;44(3):332-5.
    pubmed: 12808728
  11. Kalinowski ST, Taper ML, Marshall TC. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment.. Mol Ecol 2007 Mar;16(5):1099-106.
    doi: 10.1111/j.1365-294x.2007.03089.xpubmed: 17305863google scholar: lookup
  12. Tozaki T, Takezaki N, Hasegawa T, Ishida N, Kurosawa M, Tomita M, Saitou N, Mukoyama H. Microsatellite variation in Japanese and Asian horses and their phylogenetic relationship using a European horse outgroup.. J Hered 2003 Sep-Oct;94(5):374-80.
    doi: 10.1093/jhered/esg079pubmed: 14557389google scholar: lookup
  13. Kang BT, Kim KS, Min MS, Chae YJ, Kang JW, Yoon J, Choi J, Seong JK, Park HC, An J, Lee MH, Park HM, Lee H. Microsatellite loci analysis for the genetic variability and the parentage test of five dog breeds in South Korea.. Genes Genet Syst 2009 Jun;84(3):245-51.
    doi: 10.1266/ggs.84.245pubmed: 19745574google scholar: lookup
  14. Cho GJ, Yang YJ, Kang HS. Genetic diversity and validation of microsatellite markers for Jeju native horse parentage testing. Korean J Genet 2002;24:359–65.
  15. Kim TH, Kim KS, Choi BH, Yoon DH, Jang GW, Lee KT, Chung HY, Lee HY, Park HS, Lee JW. Genetic structure of pig breeds from Korea and China using microsatellite loci analysis.. J Anim Sci 2005 Oct;83(10):2255-63.
    doi: 10.2527/2005.83102255xpubmed: 16160034google scholar: lookup
  16. Cho GJ, Cho BW. Microsatellite DNA typing using 16 markers for parentage verification of the Korean native horse. Asian-Australas J Anim Sci 2004;17:750–4.
    doi: 10.5713/ajas.2004.750google scholar: lookup
  17. Sun W, Chang H, Ren HZ. Genetic differentiation between sheep and goats based on microsatellite DNA. Asian-Australas J Anim Sci 2004;17:583–7.
    doi: 10.5713/ajas.2004.583google scholar: lookup
  18. Yoon DH, Kong HS, Oh JD. Establishment of an individual identification system based on microsatellite polymorphisms in Korean cattle (Hanwoo). Asian-Australas J Anim Sci 2005;18:762–6.
    doi: 10.5713/ajas.2005.762google scholar: lookup

Citations

This article has been cited 4 times.
  1. Kim D, Lee S, Oyungerel B, Cho G. Evaluation of the Effectiveness of Single-Nucleotide Polymorphisms Versus Microsatellites for Parentage Verification in Horse Breeds. Vet Sci 2025 Sep 15;12(9).
    doi: 10.3390/vetsci12090890pubmed: 41012816google scholar: lookup
  2. Kulibaba RO, Srikulnath K, Singchat W, Liashenko YV, Griffin DK, Romanov MN. The Application of Microsatellite Markers as Molecular Tools for Studying Genomic Variability in Vertebrate Populations. Curr Issues Mol Biol 2025 Jun 11;47(6).
    doi: 10.3390/cimb47060447pubmed: 40699846google scholar: lookup
  3. Feng H, Cao F, Jin T, Wang L. Forest fragmentation causes an isolated population of the golden takin (Budorcas taxicolor bedfordi Thomas, 1911) (Artiodactyla: Bovidae) in the Qinling Mountains (China). BMC Zool 2024 Jan 30;9(1):2.
    doi: 10.1186/s40850-024-00192-1pubmed: 38287429google scholar: lookup
  4. Lee SY, Kim SM, Oyungerel B, Cho GJ. Single nucleotide polymorphisms for parentage testing of horse breeds in Korea. Anim Biosci 2024 Apr;37(4):600-608.
    doi: 10.5713/ab.23.0123pubmed: 37905321google scholar: lookup
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