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Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers

OBJECTIVE: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions....

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Autores principales: Roh, Hee-Jong, Kim, Seung-Chang, Cho, Chang-Yeon, Lee, Jinwook, Jeon, Dayeon, Kim, Dong-kyo, Kim, Kwan-Woo, Afrin, Fahmida, Ko, Yeoung-Gyu, Lee, Jun-Heon, Batsaikhan, Solongo, Susanti, Triana, Hegay, Sergey, Kongvongxay, Siton, Gorkhali, Neena Amatya, Thi, Lan Anh Nguyen, Thao, Trinh Thi Thu, Manikku, Lakmalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649407/
https://www.ncbi.nlm.nih.gov/pubmed/32299162
http://dx.doi.org/10.5713/ajas.19.0958
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author Roh, Hee-Jong
Kim, Seung-Chang
Cho, Chang-Yeon
Lee, Jinwook
Jeon, Dayeon
Kim, Dong-kyo
Kim, Kwan-Woo
Afrin, Fahmida
Ko, Yeoung-Gyu
Lee, Jun-Heon
Batsaikhan, Solongo
Susanti, Triana
Hegay, Sergey
Kongvongxay, Siton
Gorkhali, Neena Amatya
Thi, Lan Anh Nguyen
Thao, Trinh Thi Thu
Manikku, Lakmalie
author_facet Roh, Hee-Jong
Kim, Seung-Chang
Cho, Chang-Yeon
Lee, Jinwook
Jeon, Dayeon
Kim, Dong-kyo
Kim, Kwan-Woo
Afrin, Fahmida
Ko, Yeoung-Gyu
Lee, Jun-Heon
Batsaikhan, Solongo
Susanti, Triana
Hegay, Sergey
Kongvongxay, Siton
Gorkhali, Neena Amatya
Thi, Lan Anh Nguyen
Thao, Trinh Thi Thu
Manikku, Lakmalie
author_sort Roh, Hee-Jong
collection PubMed
description OBJECTIVE: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions. Our objective was to analyze the genetic diversity and relationships among 22 chicken breeds in Asia based on allelic frequencies. METHODS: We used 469 genomic DNA samples from 22 chicken breeds from eight Asian countries (South Korea, KNG, KNB, KNR, KNW, KNY, KNO; Laos, LYO, LCH, LBB, LOU; Indonesia, INK, INS, ING; Vietnam, VTN, VNH; Mongolia, MGN; Kyrgyzstan, KGPS; Nepal, NPS; Sri Lanka, SBC) and three imported breeds (RIR, Rhode Island Red; WLG, White Leghorn; CON, Cornish). Their genetic diversity and phylogenetic relationships were analyzed using 20 MS markers. RESULTS: In total, 193 alleles were observed across all 20 MS markers, and the number of alleles ranged from 3 (MCW0103) to 20 (LEI0192) with a mean of 9.7 overall. The NPS breed had the highest expected heterozygosity (H(exp), 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (H(obs)) was highest in LCH (0.690±0.039), whereas WLG showed the lowest H(exp) (0.372±0.055), H(obs) (0.384±0.019), and PIC (0.325±0.049). Nei’s DA genetic distance was the closest between VTN and VNH (0.086), and farthest between KNG and MGN (0.503). Principal coordinate analysis showed similar results to the phylogenetic analysis, and three axes explained 56.2% of the variance (axis 1, 19.17%; 2, 18.92%; 3, 18.11%). STRUCTURE analysis revealed that the 22 chicken breeds should be divided into 20 clusters, based on the highest ΔK value (46.92). CONCLUSION: This study provides a basis for future genetic variation studies and the development of conservation strategies for 22 chicken breeds in Asia.
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spelling pubmed-76494072020-12-01 Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers Roh, Hee-Jong Kim, Seung-Chang Cho, Chang-Yeon Lee, Jinwook Jeon, Dayeon Kim, Dong-kyo Kim, Kwan-Woo Afrin, Fahmida Ko, Yeoung-Gyu Lee, Jun-Heon Batsaikhan, Solongo Susanti, Triana Hegay, Sergey Kongvongxay, Siton Gorkhali, Neena Amatya Thi, Lan Anh Nguyen Thao, Trinh Thi Thu Manikku, Lakmalie Asian-Australas J Anim Sci Article OBJECTIVE: Estimating the genetic diversity and structures, both within and among chicken breeds, is critical for the identification and conservation of valuable genetic resources. In chickens, microsatellite (MS) marker polymorphisms have previously been widely used to evaluate these distinctions. Our objective was to analyze the genetic diversity and relationships among 22 chicken breeds in Asia based on allelic frequencies. METHODS: We used 469 genomic DNA samples from 22 chicken breeds from eight Asian countries (South Korea, KNG, KNB, KNR, KNW, KNY, KNO; Laos, LYO, LCH, LBB, LOU; Indonesia, INK, INS, ING; Vietnam, VTN, VNH; Mongolia, MGN; Kyrgyzstan, KGPS; Nepal, NPS; Sri Lanka, SBC) and three imported breeds (RIR, Rhode Island Red; WLG, White Leghorn; CON, Cornish). Their genetic diversity and phylogenetic relationships were analyzed using 20 MS markers. RESULTS: In total, 193 alleles were observed across all 20 MS markers, and the number of alleles ranged from 3 (MCW0103) to 20 (LEI0192) with a mean of 9.7 overall. The NPS breed had the highest expected heterozygosity (H(exp), 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (H(obs)) was highest in LCH (0.690±0.039), whereas WLG showed the lowest H(exp) (0.372±0.055), H(obs) (0.384±0.019), and PIC (0.325±0.049). Nei’s DA genetic distance was the closest between VTN and VNH (0.086), and farthest between KNG and MGN (0.503). Principal coordinate analysis showed similar results to the phylogenetic analysis, and three axes explained 56.2% of the variance (axis 1, 19.17%; 2, 18.92%; 3, 18.11%). STRUCTURE analysis revealed that the 22 chicken breeds should be divided into 20 clusters, based on the highest ΔK value (46.92). CONCLUSION: This study provides a basis for future genetic variation studies and the development of conservation strategies for 22 chicken breeds in Asia. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2020-12 2020-04-13 /pmc/articles/PMC7649407/ /pubmed/32299162 http://dx.doi.org/10.5713/ajas.19.0958 Text en Copyright © 2020 by Asian-Australasian Journal of Animal Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://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
Roh, Hee-Jong
Kim, Seung-Chang
Cho, Chang-Yeon
Lee, Jinwook
Jeon, Dayeon
Kim, Dong-kyo
Kim, Kwan-Woo
Afrin, Fahmida
Ko, Yeoung-Gyu
Lee, Jun-Heon
Batsaikhan, Solongo
Susanti, Triana
Hegay, Sergey
Kongvongxay, Siton
Gorkhali, Neena Amatya
Thi, Lan Anh Nguyen
Thao, Trinh Thi Thu
Manikku, Lakmalie
Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title_full Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title_fullStr Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title_full_unstemmed Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title_short Estimating genetic diversity and population structure of 22 chicken breeds in Asia using microsatellite markers
title_sort estimating genetic diversity and population structure of 22 chicken breeds in asia using microsatellite markers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649407/
https://www.ncbi.nlm.nih.gov/pubmed/32299162
http://dx.doi.org/10.5713/ajas.19.0958
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