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35个粳稻品种SSR指纹图谱的构建及遗传相似性分析
引用本文:程保山,万志兵,洪德林.35个粳稻品种SSR指纹图谱的构建及遗传相似性分析[J].南京农业大学学报,2007,30(3):1-8.
作者姓名:程保山  万志兵  洪德林
作者单位:1. 南京农业大学作物遗传与种质创新国家重点实验室,江苏,南京,210095
2. 南京农业大学作物遗传与种质创新国家重点实验室,江苏,南京,210095;黄山学院资源与环境系,安徽,黄山,245041
基金项目:教育部长江学者和创新团队发展计划
摘    要:用68对SSR引物扩增了35个粳稻品种(系)的基因组DNA,结果有46对引物在35个品种间具有稳定多态性.有6个品种可用单一特异的SSR标记加以识别,其余29个品种则需要不同的SSR指纹组合才能识别.用12对核心引物构建的SSR指纹图谱能将35个粳稻品种逐一区别开来.35个粳稻品种间遗传相似系数的变异范围为0.27~0.98.采用类平均法进行聚类分析,在相似系数0.82处,可将35个粳稻品种分为4类.聚类分析结果基本上反映了依据系谱分析的品种间亲缘关系.

关 键 词:粳稻  微卫星标记  指纹图谱  遗传相似性  粳稻品种  指纹图谱  遗传相似系数  相似性分析  japonica  rice  varieties  similarity  genetic  analysis  fingerprint  Establishment  sativa  种间亲缘关系  系谱分析  聚类分析  类平均法  范围  变异  核心引物  组合
文章编号:1000-2030(2007)03-0001-08
修稿时间:2006-08-18

Establishment of SSR fingerprint map and analysis of genetic similarity among 35 varieties in japonica rice ( Oryza sativa L.)
CHENG Bao-shan,WAN Zhi-bing,HONG De-lin.Establishment of SSR fingerprint map and analysis of genetic similarity among 35 varieties in japonica rice ( Oryza sativa L.)[J].Journal of Nanjing Agricultural University,2007,30(3):1-8.
Authors:CHENG Bao-shan  WAN Zhi-bing  HONG De-lin
Institution:1. State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China; 2. Department of Resource and Environment, Huangshan University, Huangshan 245041, China
Abstract:The genomic DNA of 35 japonica rice varieties were amplified by 68 pairs of SSR primers, Forty-six primers could amplify stable polymorphism among the 35 varieties. 6 varieties could be identified by single SSR marker, while the other 29 varieties could be identified by combination of different SSR fingerprint. All the 35 varieties could be distinguished each other by the fingerprint map constituted by 12 pairs of core SSR primers. The genetic similarity coefficients of the 35 varieties ranged from 0. 27 to 0. 98. Furthermore, all the varieties were classified into 4 groups, at the level of genetic similarity coefficient 0. 82 according to cluster analysis by an un-weighted pair-group average method with arithmetic mean. As expected, the result of cluster reflected basically the genetic relatives based on the pedigree analysis.
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