黄皓, 范嗣刚, 王鹏飞, 陈佳, 赵超, 闫路路, 邱丽华, 潘滢. 基于微卫星标记对6个花鲈群体的遗传多样性分析[J]. 南方水产科学, 2022, 18(1): 99-106. DOI: 10.12131/20210126
引用本文: 黄皓, 范嗣刚, 王鹏飞, 陈佳, 赵超, 闫路路, 邱丽华, 潘滢. 基于微卫星标记对6个花鲈群体的遗传多样性分析[J]. 南方水产科学, 2022, 18(1): 99-106. DOI: 10.12131/20210126
HUANG Hao, FAN Sigang, WANG Pengfei, CHEN Jia, ZHAO Chao, YAN Lulu, QIU Lihua, PAN Ying. Genetic diversity analysis of six geographical populations of Lateolabrax maculatus based on microsatellite markers[J]. South China Fisheries Science, 2022, 18(1): 99-106. DOI: 10.12131/20210126
Citation: HUANG Hao, FAN Sigang, WANG Pengfei, CHEN Jia, ZHAO Chao, YAN Lulu, QIU Lihua, PAN Ying. Genetic diversity analysis of six geographical populations of Lateolabrax maculatus based on microsatellite markers[J]. South China Fisheries Science, 2022, 18(1): 99-106. DOI: 10.12131/20210126

基于微卫星标记对6个花鲈群体的遗传多样性分析

Genetic diversity analysis of six geographical populations of Lateolabrax maculatus based on microsatellite markers

  • 摘要: 为了解中国不同地理群体花鲈 (Lateolabrax maculatus) 的遗传结构,从花鲈基因组序列中筛选出11个具有多态性的微卫星位点,对中国沿海地区 (天津、长岛、青岛、上海、厦门和北海) 6个花鲈野生群体的遗传多样性进行分析。11个微卫星位点共检测到57个等位基因,7个微卫星位点具有高度多态性。6个群体的等位基因数 (Na) 为3.909 1~4.636 4,有效等位基因数 (Ne) 为2.293 4~2.773 5,观测杂合度 (Ho) 为0.391 3~0.456 8,期望杂合度 (He) 为0.505 1~0.566 2,多态信息含量 (PIC) 为0.388 8~0.518 9。青岛、上海和北海群体具有高度多态性,其余群体为中度多态性。上海群体的遗传多样性最高,长岛群体和厦门群体的遗传多样性低。6个群体间的遗传分化指数 (FST) 为0.022 6~0.055 2,其中天津群体和北海群体间的遗传分化最大,群体间的遗传分化程度低。基因流 (Nm) 为4.276 6~11.220 8,6个群体间的基因交流频繁;分子方差分析 (AMOVA) 显示群体内变异占总变异的91%,群体间变异占9%。基于个体归类的聚类分析显示6个群体的花鲈个体均被划分到2个基因型类群中,无独立的基因型类群。UPMGA聚类树显示6个群体分为两支。

     

    Abstract: In order to analyze the genetic structure of Lateolabrax maculatus, we selected 11 polymorphic microsatellite loci from L. maculatus genome sequence to investigate the genetic structure of six wild populations of L. maculatus. All of the wild L. maculatus were fished from the coast of Tianjin, Qingdao, Changdao, Shanghai, Xiamen and Beihai, China, respectively. A total of 57 alleles were detected from 11 polymorphic microsatellite loci and 7 microsatellite loci were highly polymorphic loci. Among the six populations, the number of alleles (Na) was 3.909 3–4.636 4 and the effective number of alleles (Ne) was 2.293 4–2.773 5. The observed heterozygosity (Ho) was 0.391 3–0.456 8 and the expected heterozygosity (He) was 0.505 1–0.566 2. The polymorphism information content (PIC) was 0.388 8–0.518 9. The populations of L. maculatus from Qingdao, Shanghai and Beihai had highly polymorphism, and the other populations had moderate polymorphism. The Shanghai population had the highest polymorphism among all the populations. Changdao and Xiamen populations had low polymorphism. The genetic differentiation index (FST) was 0.022 6–0.055 2. The genetic differentiation among the six population was low and the highest genetic differentiation was detected between Tianjin population and Beihai population. The gene flow (Nm) was 4.276 6–11.220 8, and the most frequent gene exchange was found among these populations. The analysis of molecular variance (AMOVA) shows that the variation among populations accounted for 91% and the variation within populations accounted for 9%. The cluster analysis based on individual classification shows that the individuals of six populations were divided into two genotype groups and no independent genotype group was detected. The UPMGA cluster tree based on genetic distance shows that six populations were divided into two branchs.

     

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