Sun Y N, Qin Y, Zhu Z H, Sun D Q
Laboratory of Fish Biogenetics and Immune Evolution, College of Marine Science, Zhejiang Ocean University, Zhoushan, China
Laboratory of Fish Biogenetics and Immune Evolution, College of Marine Science, Zhejiang Ocean University, Zhoushan, China.
Genet Mol Res. 2014 Apr 3;13(3):6293-302. doi: 10.4238/2014.April.3.1.
Microsatellite markers for the half-fin anchovy Setipinna taty were developed from the enriched (CA)15 genomic library, and they were used for the population genetic studies of the half-fin anchovy from Chinese coastal areas. Samples were collected from five localities of the East China Sea and the Yellow Sea. Eleven simple sequence repeat markers were used to assess genetic differentiation in 30 individuals at each locality. As a result, 59 alleles were recorded over all loci with an average of 5.36 alleles per locus. Observed and expected heterozygosities ranged from 0.27 to 0.73 and 0.50 to 0.89, respectively. Analysis of molecular variation indicated that the variation within individuals was high (70.68%), while variations of individuals within and among populations were low (22.47 and 6.85%). The phylogenetic tree showed that these populations could be divided into two clusters: populations of the East China Sea, which came from Ninghai, Xiangshan and Zhoushan, and populations of the Yellow Sea, which were from Yantai and Weihai. It revealed that significant geographic structure existed in this species. All of the results indicated that high genetic diversity existed in the half-fin anchovy from different geographic populations. This conclusion was consistent with the classification based on morphological and physiological characteristics.
利用富集的(CA)15基因组文库开发了半滑舌鳎的微卫星标记,并将其用于中国沿海半滑舌鳎的群体遗传学研究。样本采集自东海和黄海的五个地点。使用11个简单序列重复标记评估每个地点30个个体的遗传分化。结果,在所有位点上共记录到59个等位基因,每个位点平均有5.36个等位基因。观察到的杂合度和期望杂合度分别在0.27至0.73和0.50至0.89之间。分子变异分析表明,个体内变异较高(70.68%),而个体在群体内和群体间的变异较低(22.47%和6.85%)。系统发育树显示,这些群体可分为两个聚类:来自宁海、象山和舟山的东海群体,以及来自烟台和威海的黄海群体。这表明该物种存在显著的地理结构。所有结果表明,不同地理群体的半滑舌鳎具有较高的遗传多样性。这一结论与基于形态和生理特征的分类一致。