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Genetic diversity and relationship analyses of the Korea native black goat line using microsatellite markers

  • Ho-Chan, Kang (Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Kwan-Woo, Kim (Animal Genetics Resources Research Center, National Institute of Animal Science, RDA) ;
  • Eun-Ho, Kim (Department of Animal Science, Gyeongsang National University) ;
  • Cheol-Hyun, Myung (Department of Animal Science, Gyeongsang National University) ;
  • Jung-Gyu, Lee (Institute of Agriculture and Life Science, Gyeongsang National University) ;
  • Hyun-Tae, Lim (Institute of Agriculture and Life Science, Gyeongsang National University)
  • 투고 : 2021.07.29
  • 심사 : 2021.09.02
  • 발행 : 2021.12.01

초록

The aim of this study was to analyze the genetic diversity and distance of the Korean native black goat line. Thus far, this Korean native black goat line has not been studied intensively, especially in genetic diversity and relationship studies in comparison with other breeds. In total, eleven microsatellite (MS) markers were used to evaluate alleles from 391 Korean native black goats and foreign hybrid animals. The genetic diversity index was evaluated based on the allele distributions. Four Korean native black goat lines showed expected ranges of observed heterozygosity, expected heterozygosity, and polymorphism information content (PIC) values for use in genetic diversity research (0.509 - 0.643, 0.434 - 0.623 and 0.356 - 0.567). Lines from the Korean native black goat and foreign hybrid were clearly separated according to principal coordinates analysis (PCoA), phylogenetic tree and tended to be clustered in each Korean native black goat line. Thus, this study can be used for analyzing the genetic relationships between Korean native black goats and foreign breeds for line preservation and for fundamental information to determine breed improvement strategies.

키워드

과제정보

Cooperative research program for agriculture science and technology development (Project PJ0160032021) from the Korean Rural Development Administration.

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