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Additional mitochondrial DNA sequences from the dragonfly, Nannophya pygmaea (Odonata: Libellulidae), which is endangered in South Korea

The tiny dragonfly, Nannophya pygmaea (Odonata: Libellulidae), is an endangered insect in South Korea. Previously, a partial mitochondrial DNA sequence that corresponded to a DNA barcoding region has been used to infer genetic diversity and gene flow. In this study, we additionally sequenced the bar...

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Bibliographic Details
Published in:International Journal of Industrial Entomology 2017, 35(1), , pp.51-57
Main Authors: 왕아라, 김민지, 김성수, 김익수
Format: Article
Language:English
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Summary:The tiny dragonfly, Nannophya pygmaea (Odonata: Libellulidae), is an endangered insect in South Korea. Previously, a partial mitochondrial DNA sequence that corresponded to a DNA barcoding region has been used to infer genetic diversity and gene flow. In this study, we additionally sequenced the barcoding region from N. pygmaea that had been collected from three previously sampled populations (40 individuals) and these sequences were combined with the preexisting data. We also selected and sequenced an additional mitochondrial gene (ND5) to find further variable gene regions in the mitochondrial genome. DNA barcoding sequences of 108 individuals from five South Korean localities showed that genetic diversity was highest in Gangjin, Jeollanam-do Province. Muuido, which was previously occupied by a single haplotype, was also found to have an identical haplotype, which confirmed the low genetic diversity on this islet. Gene flow among populations is highly limited, and no clear distance- or region-based geographic partitioning was observed. Phylogenetic relationships among haplotypes showed that there were no discernable haplotypes in South Korea. ND5 provided slightly more haplotypes compared to the barcoding region in 40 individuals (14 vs. 10 haplotypes in the COI gene). It also had a slightly higher within-locality diversity estimate, which suggested that ND5 had potential as mitochondrial DNA-based marker for population genetic analysis. © 2017 The Korean Society of Sericultural KCI Citation Count: 3
ISSN:1598-3579
2586-4785