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Genetic Diversity and Population Genetic Structure of Black-spotted Pond Frog (Pelophylax nigromaculatus) Distributed in South Korean River Basins

Proceedings of the National Institute of Ecology of the Republic of Korea / Proceedings of the National Institute of Ecology of the Republic of Korea, (P)2765-2203; (E)2765-2211
2021, v.2 no.2, pp.120-128
https://doi.org/10.22920/PNIE.2021.2.2.120
Jun-Kyu Park (Department of Biological Science, Kongju National University)
Nakyung Yoo (National Institute of Ecology, Research Center for Endangered Species)
Yuno Do (Department of Biological Science, Kongju National University)

Abstract

The objective of this study was to analyze the genotype of black-spotted pond frog (Pelophylax nigromaculatus) using seven microsatellite loci to quantify its genetic diversity and population structure throughout the spatial scale of basins of Han, Geum, Yeongsan, and Nakdong Rivers in South Korea. Genetic diversities in these four areas were compared using diversity index and inbreeding coefficient obtained from the number and frequency of alleles as well as heterozygosity. Additionally, the population structure was confirmed with population differentiation, Nei’s genetic distance, multivariate analysis, and Bayesian clustering analysis. Interestingly, a negative genetic diversity pattern was observed in the Han River basin, indicating possible recent habitat disturbances or population declines. In contrast, a positive genetic diversity pattern was found for the population in the Nakdong River basin that had remained the most stable. Results of population structure suggested that populations of black-spotted pond frogs distributed in these four river basins were genetically independent. In particular, the population of the Nakdong River basin had the greatest genetic distance, indicating that it might have originated from an independent population. These results support the use of genetics in addition to designations strictly based on geographic stream areas to define the spatial scale of populations for management and conservation practices.

keywords
Bayesian clustering analysis, Genetic diversity, Inbreeding probability, Microsatellite, Multivariate clustering analysis, Population differentiation
Submission Date
2021-03-25
Revised Date
2021-04-06
Accepted Date
2021-04-07

Proceedings of the National Institute of Ecology of the Republic of Korea