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黄、渤海地区青蛤(Cyclina sinensis)种群的ITS序列遗传变异与遗传结构分析
袁媛1, 高玮玮1, 吴琪2, 潘宝平1
1.天津师范大学化学与生命科学学院 天津300387;2.中国科学院海洋研究所 青岛266071
摘要:
利用核糖体RNA的转录间隔区(ITS1)序列分析方法,以日本青蛤种群为外群,初步讨论了黄、渤海地区6个野生青蛤种群遗传变异和遗传结构。采用AMOVA方法对获得的24种单倍型序列进行了遗传变异水平和等级剖分。结果表明,ITS序列核酸多态性参数Pi为0.01973, Eta值为0.04624。青蛤各种群内的遗传变异水平较高,约占总变异的37.8%。但遗传变异的主要来源于不同组团(日本海与黄、渤海),其变异达到总量的61.36%。黄、渤海地区青蛤种群间的遗传距离在0.00311-0.14914之间, P检验没有出现显著差别,说明该地区青蛤种群没有出现遗传分化,并存在7种共享单倍型序列,种群间有一定的基因交流。日本种群与黄、渤海地区各种群的遗传距离在0.44803-0.54122之间,经P检验均出现了显著性差异,形成了明显的地理隔离及遗传分化格局。
关键词:  青蛤  ITS序列  遗传变异  遗传结构  AMOVA
DOI:10.11693/hyhz200806019
分类号:
基金项目:天津市科委应用基础研究面上项目资助,06YFJMJC11800号
GENETIC VARIATION AND STRUCTURE OF CYCLINA SINENSIS POPULATIONS IN THE YELLOW AND BOHAI SEA OF CHINA
YUAN Yuan1, GAO Wei-Wei1, WU Qi2, PAN Bao-Ping1
1.College of Chemistry and Life Science, Tianjin Normal University, Tianjin, 300387;2.Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071
Abstract:
This paper discusses the genetic variation/structure of 6 populations of natural Cyclina sinensis with a Japan outgroup. The populations distribute in the Yellow Sea and Bohai Sea of China. The ribosome DNA gene internal transcribed spacer (ITS) of them was studied. 24 haplotypes were identified from 56 individuals among populations. The nucleotide diversity (Pi) and Eta (per site) were 0.0312 and 0.0294 respectively. AMOVA analysis showed that the genetic variation was notably high within populations, reaching 37.8%. However, 61.36% of the variations were in level of group between Japan Sea and Chinese seas. The genetic distances of among-population were 0.00311 and 0.14914 for the Yellow Sea and Bohai Sea respectively, indicating no genetic differentiations has occurred among the populations, and had 7 haplotypes shared. On the other hand, the genetic distance of Japan population to other Chinese ones were from 0.44803 to 0.54122 with signi?cant FST P values (P < 0.05). Therefore, the geographical isolation and phylogenetic differentiation were signi?cant between Japanese and Chinese groups.
Key words:  Cyclina sinensis, ITS sequences, Genetic variation, Genetic structure, AMOVA
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