...
首页> 外文期刊>International Journal of Biosciences >Genetic variation among the wild and hatchery raised populations of Labeo rohita (Hamilton, 1822) revealed by RAPD markers
【24h】

Genetic variation among the wild and hatchery raised populations of Labeo rohita (Hamilton, 1822) revealed by RAPD markers

机译:RAPD标记揭示了野生和孵化场中Labeo rohita(Hamilton,1822)种群的遗传变异

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The studies on genetic diversity of Labeo rohita by using molecular markers were carried out to investigate thegenetic structure by RAPAD marker and the levels of polymorphism and similarity amongst the different groupsof five populations of wild and farmed types. The samples were collected from different five locations asrepresentatives of wild and hatchery raised populations. RAPAD data for Jaccard’s coefficient by following theUnweighted Pair Group Method with Arithmetic Mean (UPGMA) for Hierarchical Clustering of the similargroups on the basis of similarity amongst the genotypes and the dendrogram generated divided the randomlyselected individuals of the five populations into three classes/clusters. The variance decomposition for theoptimal classification values remained as, 52.11% for within class variation while 47.89% for the between classdifferences. The Principal Component Analysis (PCA) for grouping of the different genotypes from the differentenvironmental conditions was done by Spearman Varimax rotation method for bi-plot generation of the cooccurrenceof the same genotypes with similar genetic properties and specificity of different primers indicatedclearly that the increase in the number of factors or components was correlated with the decrease in eigenvalues.The Kaiser Criterion based upon the eigenvalues greater than one, first two main factors accounted for 58.177%of cumulative variability.
机译:运用分子标记研究了唇轮蝗的遗传多样性,研究了RAPAD标记的遗传结构以及5种野生和养殖种群不同群体之间的多态性和相似性水平。样品是从五个不同地点收集的,这些地点是野生和孵化场饲养种群的代表。根据基因型之间的相似性,并根据相似性组的相似性,采用类似算术的非加权成对分组方法(UPGMA)对相似组进行分层聚类,从而得出Jaccard系数的RAPAD数据将五个种群的随机选择个体分为三类/簇。最优分类值的方差分解对于类内部差异保持为52.11%,而类间差异则为47.89%。使用Spearman Varimax旋转法对不同环境条件下的不同基因型进行分组的主成分分析(PCA),用于双图生成具有相同遗传特性和不同引物特异性的相同基因型的共现图谱,清楚地表明,因子或成分的数量与特征值的减少相关。基于特征值大于1的Kaiser准则,前两个主要因子占累积变异性的58.177%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号