ArticlePloS one2018
Genetic diversity and population structure of three traditional horse breeds of Bhutan based on 29 DNA microsatellite markers.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Analysis of Genetic Diversity and Race Genetic Structure of Major Horse Breeds in Xinjiang, China.Animals : an open access journal from MDPI · 2025Article
- Influence of Sires on Population Substructure in Dülmen Wild Horses.Animals : an open access journal from MDPI · 2024Article
- Genetic Diversity of KazakhstaniVeterinary sciences · 2023Article
- Current Status and Conservation Management of Farm Animal Genetic Resources in Bhutan.Veterinary sciences · 2023Review
- Unlocking Horse Y Chromosome Diversity.Genes · 2022Review
- Analysis of genetic diversity and structure of Mongolian horse using microsatellite markers.Journal of animal science and technology · 2022Article
- Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers.Animal bioscience · 2022Article
- SSR individual identification system construction and population genetics analysis for Chamaecyparis formosensis.Scientific reports · 2022Article
- Development of a 17-Plex of Penta- and Tetra-Nucleotide Microsatellites for DNA Profiling and Paternity Testing in Horses.Frontiers in veterinary science · 2022Article
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Authors and funding
5 authors.
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Abstract
The genetic variability and population structure of three Bhutanese traditional horse breeds were assessed through genotyping of 74 horses (Boeta 25, Sharta 14 and Yuta 35) for 29 microsatellite DNA loci. Altogether, 282 alleles were detected across 29 polymorphic loci. The allelic diversity (NE) (Boeta 4.94; Sharta 4.65; Yuta 5.30) and gene diversities (HE) (Boeta 0.78; Sharta 0.77; Yuta 0.79) were high. None of the breeds deviated significantly from the Hardy-Weinberg equilibrium. There was no sign of significant population bottleneck for all the breeds. The inbreeding estimates (FIS) of the breeds were low (Boeta 0.023; Sharta 0.001; Yuta 0.021). Analysis of molecular variance showed 0.6% of the total genetic variation among breeds, 1.9% among individuals and 97.5% within individuals. The global FIT, FST, and FIS estimates for the population were 0.025, 0.006 and 0.019 respectively. The analysis of population structure failed to distinguish subpopulations in traditional horses and this was supported by a high genetic exchange among the breeds. Overall, the results of this study suggest a rich genetic diversity in the traditional horse despite a very low genetic differentiation among the breeds in Bhutan.
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