한국과 일본 연해에 분포하는 쥐노래미의 유전적 다양성과 집단 구조분석

Title
한국과 일본 연해에 분포하는 쥐노래미의 유전적 다양성과 집단 구조분석
Alternative Title
Genetic diversity and population structure of fat greenling(Hexagrammos otakii) in the seas around Korea and Japan
Author(s)
Habib; 정다금; 명정구; 이윤호
KIOST Author(s)
Myoung, Jung Goo(명정구)Lee, Youn Ho(이윤호)
Publication Year
2010-06-03
Abstract
To study the genetic diversity and population genetic structure of the fat greenling (Hexagrammos otakii), a total of one hundred and fifty five individuals from the yellow sea, the Southern sea of Korea, the East sea and the north western Pacific were investigated. Genetic variations in the mtDNA COI, COIII-ND3-ND4L and Cytb gene sequences were analyzed. The haplotype diversity ranges from 0.97 to 0.99% indicating a high level of genetic diversity. A total of 135 polymorphic sites were found, and 92 haplotypes were defined in the concatenated sequences of those gene regions. The demographic history examined by neutrality tests and mismatch distribution analysis indicated a Pleistocene population expansion at abou 125000-184000 years. The haplotype network showed a star burst structure suggested a very recent divergence of most haplotypes. Hierarchical molecular variance analysis(AMOVA) and conventional population FST comparisons revealed that no significant genetic structure was established throughout the examined range of distribution for the species. The knowledge on genetic diversity and genetic structure will be vital to establish appropriate fishery management strategy for the species.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/28881
Bibliographic Citation
2010년도 한국해양과학기술협의회 공동학술대회, pp.112, 2010
Publisher
한국해양과학기술협의회
Type
Conference
Language
English
Publisher
한국해양과학기술협의회
Related Researcher
Research Interests

Marine Molecular Genetics,Marine Ecology and Evolution,해양분자유전,해양생태및진화

Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse