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

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 s...

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Autores principales: Yun, Jihye, Oyungerel, Baatartsogt, Kong, Hong Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Animal Bioscience 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262727/
https://www.ncbi.nlm.nih.gov/pubmed/35240022
http://dx.doi.org/10.5713/ab.21.0497
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author Yun, Jihye
Oyungerel, Baatartsogt
Kong, Hong Sik
author_facet Yun, Jihye
Oyungerel, Baatartsogt
Kong, Hong Sik
author_sort Yun, Jihye
collection PubMed
description 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 (H(Exp)), observed heterozygosity (H(Obs)), 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.
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spelling pubmed-92627272022-08-01 Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers Yun, Jihye Oyungerel, Baatartsogt Kong, Hong Sik Anim Biosci Article 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 (H(Exp)), observed heterozygosity (H(Obs)), 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. Animal Bioscience 2022-08 2022-03-02 /pmc/articles/PMC9262727/ /pubmed/35240022 http://dx.doi.org/10.5713/ab.21.0497 Text en Copyright © 2022 by Animal Bioscience https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Yun, Jihye
Oyungerel, Baatartsogt
Kong, Hong Sik
Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title_full Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title_fullStr Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title_full_unstemmed Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title_short Genetic diversity and population structure of Mongolian regional horses with 14 microsatellite markers
title_sort genetic diversity and population structure of mongolian regional horses with 14 microsatellite markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262727/
https://www.ncbi.nlm.nih.gov/pubmed/35240022
http://dx.doi.org/10.5713/ab.21.0497
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