文章摘要
毛守康,马爱军,丁福红,闫喜武,罗海忠,李伟业,徐宝荣,王怀忠,王宝义,王广宁.梭鱼(Liza haematocheila) 4个野生地理群体遗传多样性的微卫星分析.渔业科学进展,2016,37(2):68-75
梭鱼(Liza haematocheila) 4个野生地理群体遗传多样性的微卫星分析
Analysis of Genetic Structures of Four Wild Geographoic Populations of Mullet Liza haematocheila by Using Microsatellite Marker Technique
投稿时间:2015-04-07  修订日期:2015-05-21
DOI:10.11758/yykxjz.20150407001
中文关键词: 梭鱼  地理群体  微卫星  遗传多样性
英文关键词: Mullet Liza haematocheila  Geographical population  Microsatellite  Genetic diversity
基金项目:中央级公益性科研院所基本科研业务费专项资金(20603022013008)、山东省自然科学基金项目(ZR2011CQ004)、国家现代农业产业技术体系(CARS-50-G01)和2013年国家留学人员科技项目(20603022012005)共同资助
作者单位
毛守康 农业部海洋渔业可持续发展重点实验室 青岛市海水鱼类种子工程与生物技术重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071青岛海洋科学与技术国家实验室 海洋生物学与生物技术功能实验室 青岛 266237大连海洋大学 大连 116023 
马爱军 农业部海洋渔业可持续发展重点实验室 青岛市海水鱼类种子工程与生物技术重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071青岛海洋科学与技术国家实验室 海洋生物学与生物技术功能实验室 青岛 266237 
丁福红 农业部海洋渔业可持续发展重点实验室 青岛市海水鱼类种子工程与生物技术重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071 
闫喜武 大连海洋大学 大连 116023 
罗海忠 舟山市水产研究所 舟山 316699 
李伟业 舟山市水产研究所 舟山 316699 
徐宝荣 青岛宝荣水产科技有限公司 青岛 266300 
王怀忠 连云港仙忠水产有限公司 连云港 222000 
王宝义 兴城龙运井盐水水产养殖有限责任公司 兴城 125100 
王广宁 农业部海洋渔业可持续发展重点实验室 青岛市海水鱼类种子工程与生物技术重点实验室 中国水产科学研究院黄海水产研究所 青岛 266071青岛海洋科学与技术国家实验室 海洋生物学与生物技术功能实验室 青岛 266237 
摘要点击次数: 4801
全文下载次数: 2408
中文摘要:
      利用14对微卫星引物,对采捕于辽宁葫芦岛、山东青岛、江苏连云港以及浙江舟山附近海域的梭鱼(Liza haematocheila) 4个野生地理群体进行群体遗传多样性分析。结果显示,14对微卫星引物均能扩增出清晰的条带且具有一定的多态性,4个野生群体的多态性百分率分别为92.86%、92.87%、100.00%和85.71%。4个群体共扩增出61个等位基因,4个群体的等位基因数为3.786−4.000,有效等位基因数为2.673−2.899,观测杂合度为0.359−0.389,期望杂合度为0.503−0.561,多态信息含量为0.465−0.513,说明4个群体遗传多样性处于中等多态水平。运用SPSS软件对杂合度期望值进行Kruskal-Wallis检验,其结果(H=0.187,df=3,P=0.980)表明,4个群体间的遗传多样性差异无统计学意义(P>0.05),各群体大部分微卫星位点偏离Hardy-Weinberg平衡(P<0.05)。另外,研究发现,葫芦岛和舟山均出现两个位点呈现杂合子过剩,其他两群体均出现3个位点呈现杂合子过剩(Fis<0),表明近期可能出现过瓶颈效应。所有群体间遗传分化系数为0.148,基因流值为1.444,群体间出现中度遗传分化,群体间出现一定程度基因流。两群体间的遗传相似性系数为0.623−0.818,遗传距离为0.202−0.473,青岛和葫芦岛的遗传距离最近(0.202),而连云港和舟山的最远(0.473),这可能与梭鱼幼体的扩散能力及近海沿岸生态环境及群落结构有关。采用UPGMA法对4个群体进行聚类分析,结果显示,4个地理群体按其地理位置由北向南依次聚为一类。
英文摘要:
      In this study, fourteen markers were analyzed to assess the genetic diversity of four wild geographical populations of Liza haematocheila from the adjacent waters of Huludao, Qingdao, Lianyungang, and Zhoushan. The results showed that there was a certain degree of polymorphism in the four populations and the percentages of polymorphic loci were 92.86%, 92.87%, 100%, and 85.71% respectively. A total of 61 alleles were detected in the four populations, and the average number of alleles was between 3.786 and 4.000 for each population and the effective number of alleles was from 2.673 to 2.899. The average values of observed and expected heterozygosity ranged from 0.359 to 0.389 and from 0.503 to 0.561 respectively. The mean polymorphic information contents were from 0.465 to 0.513. These results suggested that there was a moderate genetic diversity among the four populations, however, the Kruskal-Wallis test (SPSS software) indicated no significant difference in the genetic diversity among the four populations (H=0.187, df=3, P=0.980). The majority of loci in each population were found to deviate from the Hardy-Weinberg equilibrium (P<0.05). Moreover the Huludao and Zhoushan populations were found to have two loci with heterozygote excess (Fis<0), while the other two populations had three loci with heterozygote excess. This was probably caused by recent bottleneck effect. The values of genetic differentiation coefficients and gene flow were 0.148 and 1.444 respectively, which suggested a medium level of genetic differentiation and a certain degree of gene flow between the four populations. The genetic similarity coefficients of the four populations ranged from 0.623 to 0.818 and the genetic distance was between 0.202 and 0.473 among the populations. The genetic distance was the nearest between Huludao and Qingdao, and was the farthest between Lianyungang and Zhoushan. These results could be related to the diffusion of the mullet larvae, the inshore coastal ecological environment, and the community structure. Cluster analysis with the UPGMA method showed that the four geographic populations could converge into one cluster according to their distribution from north to south.
附件
查看全文   查看/发表评论  下载PDF阅读器
关闭