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Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers

  • Yun, Jihye (Department of Applied Biotechnology, The Graduate School of Hankyong National University) ;
  • Oyungerel, Baatartsogt (School of Animal Science and Biotechnology, Mongolian University of Life Sciences) ;
  • Kong, Hong Sik (Department of Applied Biotechnology, The Graduate School of Hankyong National University)
  • Received : 2021.11.10
  • Accepted : 2022.02.16
  • Published : 2022.08.01

Abstract

Objective: This study aimed to identify the genetic diversity and population structure of Mongolian horse populations according to the province of residence (Khentii, KTP; Uvs, USP; Omnogovi and Dundgovi, GOP; Khovsgol, KGP) using 14 microsatellite (MS) markers. Methods: A total of 269 whole blood samples were obtained from the four populations (KTP, USP, GOP, KGP) geographically distinct provinces. Multiplex polymerase chain reaction (PCR) was conducted using 14 MS markers (AHT4, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG6, HTG7, and VHL20), as recommended by the International Society for Animal Genetics. Capillary electrophoresis was conducted using the amplified PCR products, alleles were determined. Alleles were used for statistical analysis of genetic variability, Nei's DA genetic distance, principal coordinate analysis (PCoA), factorial corresponding analysis (FCA), and population structure. Results: On average, the number of alleles, expected heterozygosity (HExp), observed heterozygosity (HObs), and polymorphic information content among all populations were 11.43, 0.772, 0.757, and 0.737, respectively. In the PCoA and FCA, GOP, and KGP were genetically distinct from other populations, and the KTP and USP showed a close relationship. The two clusters identified using Nei's DA genetic distance analysis and population structure highlighted the presence of structurally clear genetic separation. Conclusion: Overall, the results of this study suggest that genetic diversity between KTP and USP was low, and that between GOP and KGP was high. It is thought that these results will help in the effective preservation and improvement of Mongolian horses through genetic diversity analysis and phylogenetic relationships.

Keywords

References

  1. National Statistics Office of Mongolia [Internet]. Total number of livestock as of 2020; 2020 [cited 2021 July 15]. Available from: http://www.1212.mn/stat.aspx?LIST_ID=976_L10_1
  2. Mang L. Mongolian man and horse. Inner Mongolia Science and Technology Press; 2002. pp. 3-31.
  3. Li JL, Shi Y, Fan C, Manglai DJ. mtDNA diversity and origin of chinese mongolian horses. Asian-Australas J Anim Sci 2008;21:1696-702. https://doi.org/10.5713/ajas.2008.80193
  4. Aberle KS, Distl O. Domestication of the horse: results based on microsatellite and mitochondrial DNA markers. Arch Anim Breed 2004;47:517-35. https://doi.org/10.5194/aab-47-517-2004
  5. Rege JEO, Marshall K, Notenbaert A, Ojango JMK, Okeyo AM. Pro-poor animal improvement and breeding - what can science do? Livest Sci 2011;136:15-28. https://doi.org/10.1016/j.livsci.2010.09.003
  6. Ellegren H, Johansson M, Sandberg K, Andersson L. Cloning of highly polymorphic microsatellites in the horse. Anim Genet 1992;23:133-42. https://doi.org/10.1111/j.1365-2052.1992.tb00032.x
  7. Marklund S, Ellegren H, Eriksson S, et al. Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites. Anim Genet 1994;25:19-23. https://doi.org/10.1111/j.1365-2052.1994.tb00399.x
  8. Zohary D. The mode of domestication of the founder crops of Southwest Asian agriculture. In: Harris DR, ed. The origin and spread of agriculture and pastoralism in Eurasia. London, UK: University College of London Press; 1996. pp. 142-58.
  9. Wright T. Comparative genomics of Mongolian purebred and hybrid horses- conserving an important breed [Thesis]. Honors and Undergraduate Research, Texas A&M University; 2013 [cited 2021 Aug 27]. Available from: http://oaktrust.library.tamu.edu/bitstream/handle/1969.1/148882/WRIGHT-THESIS-2013.pdf;sequence=1
  10. Ganbold O, Lee SH, Seo D, et al. A review of population genetics research on domestic animals in Mongolia and recommendations for the improvements. J Anim Breed Genom 2018;2:9-20. https://doi.org/10.12972/jabng.20180016
  11. Park SDE. Trypanotolerance in West African cattle and the population genetic effects of selection. [Ph.D. Thesis] Dublin, Ireland: Dublin University; 2001.
  12. Peakall R, Smouse PE. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics 2012;28:2537-9. https://doi.org/10.1093/bioinformatics/bts460
  13. Belkhir K, Borsa P, Chikhi L, et al. GENETIX 4.05, logiciel sous Windows TM pour la genetique des populations. Laboratoire Genome, Populations, Interactions, CNRS UMR 5000, Universite de Montpellier II, Montpellier France; 2004 [cited 2021 Sep 2]. Available from: https://kimura.univ-montp2.fr/genetix/
  14. Nei M, Tajima F, Tateno Y. Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data. J Mol Evol 1983;19:153-70. https://doi.org/10.1007/BF02300753
  15. Takezaki N, Nei M, Tamura K. POPTREE2: software for constructing population trees from allele frequency data and computing other population statistics with Windows interface. Mol Biol Evol 2010;27:747-52. https://doi.org/10.1093/molbev/msp312
  16. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 1987;4:406-25. https://doi.org/10.1093/oxfordjournals.molbev.a040454
  17. Ota T. DISPAN: genetic distance and phylogenetic analysis. University Park, PA, USA: Pennsylvania State University; 1993.
  18. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics 2000;155:945-59. https://doi.org/10.1093/genetics/155.2.945
  19. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 2003;164:1567-87. https://doi.org/10.1093/genetics/164.4.1567
  20. Earl DA, vonHoldt BM. Structure harvester: a website and program for visualizing structure output and implementing the Evanno method. Conserv Genet Resour 2012;4:359-61. https://doi.org/10.1007/s12686-011-9548-7
  21. Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 2005;14:2611-20. https://doi.org/10.1111/j.1365-294X.2005.02553.x
  22. Botstein D, White RL, Skolnick M, Davis RW. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 1980;32:314-31.
  23. Giacomoni EH, Fernandez-Stolz GP, Freitas TRO. Genetic diversity in the Pantaneiro horse breed assessed using microsatellite DNA markers. Genet Mol Res 2008;7:261-70. https://doi.org/10.4238/vol7-1gmr367
  24. Cho GJ. Genetic relationship and characteristics using microsatellite DNA loci in horse breeds. J Life Sci 2007;17:699-705. https://doi.org/10.5352/JLS.2007.17.5.699
  25. Tozaki T, Takezaki N, Hasegawa T, et al. Microsatellite variation in Japanese and Asian horses and their phylogenetic relationship using a European horse outgroup. J Hered 2003;94:374-80. https://doi.org/10.1093/jhered/esg079
  26. Cho GJ. Genetic relationship among the Korean native and alien horses estimated by microsatellite polymorphism. Asian-Australas J Anim Sci 2006;19:784-8. https://doi.org/10.5713/ajas.2006.784
  27. Dorji J, Tamang S, Tshewang T, Dorji T, Dorji TY. Genetic diversity and population structure of three traditional horse breeds of Bhutan based on 29 DNA microsatellite markers. PLoS One 2018:13:e0199376. https://doi.org/10.1371/journal.pone.0199376
  28. Zuccaro A, Bordonaro S, Criscione A, et al. Genetic diversity and admixture analysis of Sanfratellano and three other Italian horse breeds assessed by microsatellite markers. Animal 2008;2:991-8. https://doi.org/10.1017/S1751731108002255
  29. Seo D, Bhuiyan MS, Sultana H, Heo JM, Lee JH. Genetic diversity analysis of South and East Asian duck populations using highly polymorphic microsatellite markers. Asian-Australas J Anim Sci 2016;29:471-8. https://doi.org/10.5713/ajas.15.0915
  30. Dierks C, Momke S, Drogemuller C, Leeb T, Chowdhary BP, Distl O. A high-resolution comparative radiation hybrid map of equine chromosome 4q12-q22. Anim Genet 2006;37:513-7. https://doi.org/10.1111/j.1365-2052.2006.01510.x