首页> 外文OA文献 >Assessment of the congruity of genetic relationships and variation revealed by individual- and bulked-samples-based approaches using RAPD and ISSR markers in Japanese turnip (Brassica rapa ssp. rapa) cultivars
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Assessment of the congruity of genetic relationships and variation revealed by individual- and bulked-samples-based approaches using RAPD and ISSR markers in Japanese turnip (Brassica rapa ssp. rapa) cultivars

机译:在日本萝卜品种(芸苔)中,通过使用RAPD和ISSR标记对基于个体和大量样本的方法揭示的遗传关系和变异的一致性进行评估

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摘要

To find out an efficient and accurate way to estimate the genetic relationship among cultivars having within-variety genetic variation by using different types of approaches, we compared among-varieties genetic similarity estimated based on individual samples and also on bulked population samples of six Japanese turnip (Brassica rapa ssp. rapa) cultivars using RAPD and ISSR markers. In both individual- and bulked-samples-based approaches, 37 individuals were sampled from each cultivar, amplified individually and also as bulked DNA, respectively. Genetic similarity matrices among six cultivars were estimated based on four similarity measures estimated with 125 or 124 polymorphic bands scored in the individual- or bulked-samples-based approach, respectively, and the correlations between the similarity matrices were calculated to evaluate the degree of agreement between matrices. Correlations between similarity matrices calculated based on individuals on the one hand and those calculated based on bulked samples on the other were also high and significant in all combinations of the four similarity measures. Use of computational analysis indicated that 6 to 8 individuals per cultivar were enough to accurately estimate similarity with the individual-based approach.
机译:为了找到一种有效和准确的方法来估计通过使用不同类型的方法在品种内具有遗传变异的品种之间的遗传关系,我们比较了基于单个样本以及六个日本芜菁的大量种群样本估计的品种间遗传相似性(RAPS ssp。rapa)品种使用RAPD和ISSR标记。在基于个体和基于大样本的方法中,从每个品种中取样了37个个体,分别进行了扩增和作为大体DNA扩增。基于分别基于个体或大量样本方法的125个或124个多态性谱带估计的四个相似性度量值,估算了六个品种之间的遗传相似性矩阵,并计算了相似性矩阵之间的相关性以评估一致性程度在矩阵之间。在四种相似性度量的所有组合中,一方面基于个体计算的相似性矩阵与另一方面基于大量样本计算的相关性之间的相关性也很高且显着。计算分析的使用表明,每个品种6至8个个体足以准确估计与基于个体的方法的相似性。

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