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源于鳞被相关基因的微卫星标记与鲤 4 种生长性状的相关性分析 
引用本文:肖同乾,鲁翠云,李超,曹顶臣,程磊,孙效文.源于鳞被相关基因的微卫星标记与鲤 4 种生长性状的相关性分析 [J].中国水产科学,2014,21(5):883-883.
作者姓名:肖同乾  鲁翠云  李超  曹顶臣  程磊  孙效文
作者单位:1. 大连海洋大学水产与生命学院,辽宁大连116023;中国水产科学研究院黑龙江水产研究所,黑龙江哈尔滨150070
2. 中国水产科学研究院黑龙江水产研究所,黑龙江哈尔滨,150070
摘    要:选用来源于鲤基因组中的鳞被相关基因(ant、eda、edar、fgfr)及其上下游序列中的155个微卫星标记,对德国镜鲤(Cyprinus carpio L.)与黑龙江野鲤(Cyprinus carpio haematopterus)杂交的F2 116尾个体的遗传多样性进行检测,以卡方检验估计群体Hardy-Weinberg平衡.结果表明,36个微卫星标记表现为多态,各标记的等位基因数在2~4个浮动,共检测到86个等位基因,平均每个标记2.388 9个;平均有效等位基因数为2.209 4;平均观测杂合度为0.624 5;平均期望杂合度为0.529 2;平均多态信息含量为0.432 1,其中23个微卫星标记表现为中度多态(0.25≤PIC<0.5),13个微卫星标记表现为高度多态(PIC≥0.5),说明这个群体属于中度多态性水平.Hardy-Weinberg平衡检验结果显示,61%标记显著偏离平衡,人工选择压力和自交对家系造成了严重的影响.SPSS 17.0分析发现分别有10(28%)、7(19%)、7(19%)和11个(31%)标记与体质量、体长、体高和体厚存在显著相关性,并发现11个优势基因型.源于鳞被相关基因的微卫星标记与生长性状连锁的比例较高,以上结果从分子水平上提示鳞被基因与所研究4种生长性状存在一定的相关性.

关 键 词:  鳞被  生长性状  微卫星标记  相关性分析
修稿时间:2014/9/11 0:00:00

Correlation analysis of microsatellite markers derived from scale genes (ant, eda, edar, fgfr) with four growth traits in common carp (Cyprinus carpio) 
XIAO Tongqian,LU Cuiyun,LI Chao,CAO Dingchen,CHENG Lei,SUN Xiaowen.Correlation analysis of microsatellite markers derived from scale genes (ant, eda, edar, fgfr) with four growth traits in common carp (Cyprinus carpio) [J].Journal of Fishery Sciences of China,2014,21(5):883-883.
Authors:XIAO Tongqian  LU Cuiyun  LI Chao  CAO Dingchen  CHENG Lei  SUN Xiaowen
Institution:1. College of Fisheries and Life, Dalian Ocean University, Dalian 116023,China; 2. Heilongjiang Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China
Abstract:

 We evaluated the correlation of scale genes (ant, eda, edar, fgfr) with four growth traits in common carp(Cyprinus carpio). A total of 155 microsatellite markers were selected from the homologous sequence of the carp genome. We used 116 progeny from a self-bred line of F1 derived from intercross lines of German mirror carp (Cyprinus carpio L.) and Amur wild carp (Cyprinus carpio haematopterus). We estimated the following genetic diversity parameters: allele number(No), effective allele number(Ne), observed heterozygosity(Ho), expected heterozygosity(He) using PopGene (Version 1.32). We used achi-square test to test for Hardy–Weinberg equilibrium. Of the 155 markers, 36 microsatellite loci were polymorphic with 2–4 alleles for each locus (86 alleles for the 36 loci). The mean number of alleles and the mean effective number of alleles were 2.388 9 and 2.209 4, respectively. The mean observed heterozygosity and expected heterozygosity were 0.624 5 and 0.529 2, respectively. The mean polymorphism information content (PIC) was 0.432 1 for the 36 loci, of which 23 loci had a moderate level of polymorphism (0.25≤ PIC<0.5) and 13 loci had a high level of polymorphism (PIC≥0.5). Our results suggest the population has a moderate level of polymorphism. Given that the microsatellite markers were located in the genes or their contexts, the level of polymorphism may be even lower. The majority (69%) of the 36 loci deviated significantly from Hardy–Weinberg equilibrium. The artificial selection pressure and development of the self-bred line may explain this phenomenon. Of the 36 markers, 10(28%), 7(19%), 7(19%), and 11(31%) were significantly associated with body weight, body length, body height, and body thickness, respectively. Eleven dominant genotypes were identified via the multiple comparisons. The higher screening rate of SSR markers tightly linked with growth traits demonstrated that the scale genes maybe associated with growth traits.

Keywords:Cyprinus carpio  scale  growth trait  microsatellite marker  correlation analysis
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