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首页> 外文会议>Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on >Identification of DNA Fingerprinting and Cluster Analysis Using ISSR Markers for 13 Sugar Beet Cultivars (lines) from China and Holland
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Identification of DNA Fingerprinting and Cluster Analysis Using ISSR Markers for 13 Sugar Beet Cultivars (lines) from China and Holland

机译：中国和荷兰的13个甜菜品种（系）的DNA指纹识别和ISSR标记聚类分析

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摘要

Fingerprinting identification and cluster analysis were conducted among 9 introduced sugar beet (B. vulgaris) cultivars from Holland and 4 lines from China using Inter simple sequence repeats (ISSR) markers. Six stable and high polymorphic primes were selected in this study. 48 bands were obtained using ISSR --PCR with the six primers, and polymorphic rate was 87.5% among the thirteen sugar beet cutivars and lines. All test varieties can be distinguished by ISSR fingerprinting with the six primes. Fingerprinting map and digit identification code were constructed by 8 polymorphic bands from primer UBC813 and L1, which can discriminate 13 cultivars (lines) completely. The result indicated that ISSR fingerprinting could identify different sugar beet varieties efficiently. The genetic similarity matrix among all 13 sugar beet varieties was obtained by similarity analysis using Dice algorithm with NTSYS-pc software. Similarity coefficients ranged from 0.46 to 0.89 with an average of 0.67. Cluster tree was formed using unweighted pair-group method with arithmetic means (UPGMA) method. Cluster analysis showed 13 varieties (lines) were divided four groups and two subgroups. UPGMA cluster analysis showed clear genetic relationships among the 13 sugar beet cultivars. The result indicated that the relationship of sugar beet materials was connected with geography factor and character of breeding and ISSR markers can be used to estimate genetic distance of plant.
机译：使用Inter简单重复序列（ISSR）标记对来自荷兰的9个甜菜（B. vulgaris）和来自中国的4个品系进行了指纹识别和聚类分析。在这项研究中选择了六个稳定且高度多态的素数。使用ISSR -PCR和6个引物获得48条带，13个甜菜品种和系中多态性率为87.5％。所有测试品种均可通过带有六个素数的ISSR指纹识别来区分。由引物UBC813和L1的8个多态性条带构建了指纹图谱和数字识别码，可以完全区分13个品种（品系）。结果表明，ISSR指纹图谱可以有效识别不同的甜菜品种。通过使用Dice算法和NTSYS-pc软件的相似性分析，获得了所有13个甜菜品种之间的遗传相似性矩阵。相似系数范围从0.46到0.89，平均值为0.67。聚类树是使用非加权成对分组法和算术平均值法（UPGMA）形成的。聚类分析显示13个品种（品系）分为四个组和两个亚组。 UPGMA聚类分析显示13个甜菜品种之间具有明确的遗传关系。结果表明，甜菜原料的关系与地理因素，育种特性和ISSR标记可用于估计植物的遗传距离有关。

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