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中国农学通报 ›› 2018, Vol. 34 ›› Issue (33): 91-95.doi: 10.11924/j.issn.1000-6850.casb18060131

所属专题: 园艺

• 生物技术科学 • 上一篇    下一篇

SSR标记对甜菜抗褐斑病品种的聚类分析

王茂芊,张泽旭,吴则东,张惠忠   

  1. 黑龙江大学,哈尔滨师范大学生命科学与技术学院,黑龙江大学,内蒙古农牧业科学院
  • 收稿日期:2018-06-29 修回日期:2018-10-30 接受日期:2018-08-24 出版日期:2018-11-22 发布日期:2018-11-22
  • 通讯作者: 王茂芊
  • 基金资助:
    国家青年科学基金项目“能源甜菜应答重金属Cd逆境胁迫分子机制的转录组学研究及差异表达基因功能鉴定”(31601229);国家糖料产 业体系子项目“甜菜种子引发与检测技术研究”(CARS-17011306);国家糖料产业体系子项目“甜菜抗根病及叶病品种鉴定与种质资源筛选”(CARS- 17011004);黑龙江省省属高等学校基本科研业务费基础研究项目“基于简化基因组测序技术的甜菜产糖量相关性状QTL定位”(KJCXZD201714)。

Cluster Analysis of Anti-brown Spot Sugar Beet Varieties with SSR Makers

  • Received:2018-06-29 Revised:2018-10-30 Accepted:2018-08-24 Online:2018-11-22 Published:2018-11-22

摘要: 为了选育、鉴定抗褐斑病较好的国内甜菜品种,分析抗褐斑病品种的亲缘关系,本试验利用筛选出的多态性较好的14对SSR引物组合对17份甜菜品种进行亲缘关系分析,采用MEGA 3.1软件和EXCEL2007获得遗传距离并绘制聚类图,结合分子标记和田间调查结果进行抗褐斑病性调查和聚类分析。[结果]共产生99条扩增带,多态性条带81条,平均多态性百分比为81.8%。平均遗传距离为0.4601,平均遗传相似系数为0.6312。聚类分析结果显示,在遗传距离0.20处,可将17份供试材料分为五个类群,其中第一类群又分为两个亚类。[结论] 分子标记结果显示,17份供试材料遗传多样性较丰富。田间调查结果表明,有五个品种抗褐斑病性较好。聚类结果表明SSR分子标记用于划分甜菜抗褐斑病性的品种有一定辅助作用。

关键词: 花生、生物菌肥、农艺性状、营养成分、根系干物质, 花生、生物菌肥、农艺性状、营养成分、根系干物质

Abstract: To breed and identify domestic sugar beet varieties’resistance to brown spot, and analyze the genetic relationship among the varieties with anti-brown spot disease, 14 pairs SSR molecule markers were used to study the relationship of 17 domestic varieties. Genetic distance and cluster diagram were obtained using MEGA 3.1 software and EXCEL 2007. Combining molecular markers and field survey results, antibrown spot disease investigation and cluster analysis were conducted. The results of molecular markers showed that a total of 99 bands were obtained, 81 of which were polymorphic. The average polymorphic ratio was 81.8%. The mean genetic distance was 0.4601, and genetic similarity among varieties was 0.6312. At a genetic distance of 0.2, the 17 genotypes were divided into five cluster groups based on cluster analysis, and the first group includes two sub-categories. Molecular markers showed that the genetic diversity of the 17 materials were rich. Field survey results showed that 5 varieties had better resistance to brown spot. The results of clustering showed that SSR molecular markers were effective in genetic analysis of anti-brown spot varieties and clustering distribution of sugar beet.

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