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作 者:王茂芊 张泽旭[4] 吴则东 张惠忠 Wang Maoqian;Zhang Zexu;Wu Zedong;Zhang Huizhong(Key Laboratory of Sugar Beet Genetic Breeding/Heilongjiang University, Harbin 150080;Institute of Sugar Beet Research, Chinese Academy of Agricultural Sciences, Harbin 150080;State Key Laboratory of Forest Tree Genetics and Breeding, Forestry College, Northeast Forestry University, Harbin 150080;College of Life Science and Technology, Harbin Normal University, Harbin 150025;Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot 010031)
机构地区:[1]黑龙江省普通高校甜菜遗传育种重点实验室,黑龙江大学农作物研究院,哈尔滨150080 [2]中国农业科学院甜菜研究所,哈尔滨150080 [3]东北林业大学林学院,国家林木遗传育种重点实验室,哈尔滨150080 [4]哈尔滨师范大学生命科学与技术学院,哈尔滨150025 [5]内蒙古农牧业科学院,呼和浩特010031
出 处:《中国农学通报》2018年第33期91-95,共5页Chinese Agricultural Science Bulletin
基 金: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)
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Excel 2007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。分子标记结果显示:共产生99条扩增带,其中81条具有多态性,平均多态率为81.8%。平均遗传距离和遗传相似系数分别为0.4601和0.6312。聚类分析结果在0.2遗传距离处,供试材料可分为5个类群,第一类群包括两个亚类。分子标记结果表明:17份供试材料遗传多样性较丰富。田间调查结果表明,有5个品种抗褐斑病性较好。聚类结果可见,SSR对于甜菜抗褐斑病品种的遗传基础分析和聚类划分有参考作用。To breed and identify domestic sugar beet varieties’ resistance to brown spot, and analyze thegenetic relationship among the varieties with anti-brown spot disease, 14 pairs SSR molecule markers wereused to study the relationship of 17 domestic varieties. Genetic distance and cluster diagram were obtainedusing MEGA 3.1 software and EXCEL 2007. Combining molecular markers and field survey results, anti-brown spot disease investigation and cluster analysis were conducted. The results of molecular markers showedthat a total of 99 bands were obtained, 81 of which were polymorphic. The average polymorphic ratio was81.8%. The mean genetic distance was 0.4601, and genetic similarity among varieties was 0.6312. At a geneticdistance of 0.2, the 17 genotypes were divided into five cluster groups based on cluster analysis, and the firstgroup includes two sub-categories. Molecular markers showed that the genetic diversity of the 17 materialswere 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 varietiesand clustering distribution of sugar beet.
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