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许氏平鲉微卫星标记与体长、体质量、体高的相关性分析
韩承慧1,2, 马海涛1, 薛 蕊3, 姜海滨1, 常 城1,2, 王 腾1,2
1.山东省海洋资源与环境研究院 山东省海洋生态修复重点实验室;2.上海海洋大学水产与生命学院;3.中国科学院 海洋研究所
摘要:
为了解许氏平鲉(Sebastes schlegelii)微卫星标记与生长性状的相关性, 选取26个微卫星标记在海捕许氏平鲉群体中进行微卫星筛选, 每个微卫星位点的等位基因数(Na)在3~21, 有效等位基因数(Ne)为1.1815~15.5676; 观测杂合度(Ho)范围为0.0417~0.9999; 期望杂合度(He)范围为0.1581~0.9456;多态信息含量(PIC)范围为0.1509~0.9320。利用单标记分析法分析了多态性较高(PIC>0.5)的22个标记与体长、体质量、体高的相关性, 结果显示3个标记与生长性状显著相关, 其中HJ2-32与体长、体质量和体高显著相关(P<0.05), 并推断等位基因D与C对于体质量、体长、体高分别具有重要的正向与负向影响; HJ7-2与体质量显著相关; HJ7-22与体长显著相关, 并推测等位基因F对体长具有正向影响,等位基因B对体长有负面影响。这些标记可为许氏平鲉分子标记辅助育种提供基础。
关键词:  许氏平鲉(Sebastes schlegelii)  微卫星标记  生长性状  相关性分析
DOI:10.11759/hykx20161209
分类号:
基金项目:山东省良种工程项目(2014-2017)
Correlation analysis of microsatellite markers with body length, weight, and height in Sebastes schlegelii
HAN Cheng-hui,MA Hai-tao,XUE Rui,JIANG Hai-bin,CHANG Cheng,WANG Teng
Abstract:
Twenty-six polymorphic microsatellite markers were selected to estimate a wild population of Sebastes schlegelii for studying the correlation between microsatellite markers and growth traits, which revealed that the number of alleles was 260 and the allele numbers ranged from 3 to 21 per locus. The observed and expected heterozygosity varied from 0.0417 to 0.9999 and from 0.1581 to 0.9456, respectively. The values of polymorphic information content ranged from 0.1509 to 0.9320. Twenty-two microsatellite loci with high polymorphism were used to analyze the correlation with body length, weight, and height by single marker-based analysis. The results showed that these markers significantly correlated with growth traits; loci HJ2-32 significantly correlated with three growth traits, and alleles D and C had positive and negative effects on growth traits, respectively. HJ7-2 showed a significant correlation with body weight; alleles F and B of HJ7-22 had positive and negative effects on length traits, respectively. These aforementioned markers would be of benefit for a further study on molecular marker-assisted breeding of S. schlegelii.
Key words:  Sebastes schlegelii  microsatellite  growth traits  correlation analysis
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