Application of genomic big data to analyze the genetic diversity and population structure of Korean domestic chickens
Autor: | Eunjin Cho, Minjun Kim, Jae-Hwan Kim, Hee-Jong Roh, Seung Chang Kim, Dae-Hyeok Jin, Dae Cheol Kim, Jun Heon Lee |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | Journal of Animal Science and Technology, Vol 65, Iss 5, Pp 912-921 (2023) |
Druh dokumentu: | article |
ISSN: | 2672-0191 2055-0391 |
DOI: | 10.5187/jast.2023.e8 |
Popis: | Genetic diversity analysis is crucial for maintaining and managing genetic resources. Several studies have examined the genetic diversity of Korean domestic chicken (KDC) populations using microsatellite markers, but it is difficult to capture the characteristics of the whole genome in this manner. Hence, this study analyzed the genetic diversity of several KDC populations using high-density single nucleotide polymorphism (SNP) genotype data. We examined 935 birds from 21 KDC populations, including indigenous and adapted Korean native chicken (KNC), Hyunin and Jeju KDC, and Hanhyup commercial KDC populations. A total of 212,420 SNPs of 21 KDC populations were used for calculating genetic distances and fixation index, and for ADMIXTURE analysis. As a result of the analysis, the indigenous KNC groups were genetically closer and more fixed than the other groups. Furthermore, Hyunin and Jeju KDC were similar to the indigenous KNC. In comparison, adapted KNC and Hanhyup KDC populations derived from the same original species were genetically close to each other, but had different genetic structures from the others. In conclusion, this study suggests that continuous evaluation and management are required to prevent a loss of genetic diversity in each group. Basic genetic information is provided that can be used to improve breeds quickly by utilizing the various characteristics of native chickens. |
Databáze: | Directory of Open Access Journals |
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