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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Veröffentlicht in:Asian-Australasian journal of animal sciences. - 1998. - 33(2020), 12 vom: 01. Dez., Seite 1896-1904
1. Verfasser: Roh, Hee-Jong (VerfasserIn)
Weitere Verfasser: 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
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:Asian-Australasian journal of animal sciences
Schlagworte:Journal Article Asian Chicken Breeds Genetic Diversity Genetic Relationship Heterozygosity Microsatellite Markers Polymorphism Information Content
Beschreibung
Zusammenfassung: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 (Hexp, 0.718±0.027) and polymorphism information content (PIC, 0.663±0.030). Additionally, the observed heterozygosity (Hobs) was highest in LCH (0.690±0.039), whereas WLG showed the lowest Hexp (0.372±0.055), Hobs (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
Beschreibung:Date Revised 01.12.2020
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1011-2367
DOI:10.5713/ajas.19.0958