| 用RAPD标记分析高羊茅的遗传多样性 |
| |
| 引用本文： | 田志宏,邱永福,严寒,何勇. 用RAPD标记分析高羊茅的遗传多样性[J]. 草业学报, 2007, 16(1): 58-63 |
| |
| 作者姓名： | 田志宏 邱永福 严寒 何勇 |
| |
| 作者单位： | 长江大学生命科学学院,湖北,荆州,434025 |
| |
| 基金项目： | 湖北省重点科技发展计划项目(992P0603)，湖北省教育厅重大科研项目(99Z007)，湖北省新世纪高层人才工程科研项目(鄂人2003-31)资助 |
| |
| 摘 要： | 采用RAPD分子标记技术对从国外引进的15个高羊茅品种的遗传多样性进行了研究。从60个随机引物中筛选出12个有效引物,它们共扩增出85条DNA带,其中59条为多态性带,占69.41%,平均每个引物扩增出多态性带4.92条;利用NTSYS-PC软件计算出的不同品种间Jaccard遗传相似系数(GS)变化范围较大,为0.373~0.932;根据得到的遗传相似性矩阵进行非加权组法(UPGMA)聚类分析,建立高羊茅品种的分子系统树状图;以相似系数0.68为标准,可将所有品种分为3类,品种翠丽和贝克各自聚为一类,其余13个品种聚成一类。
|
| 关 键 词： | 高羊茅 遗传多样性 RAPD 聚类分析 |
| 文章编号： | 1004-5759（2007）01-0058-06 |
| 收稿时间： | 2005-08-14 |
| 修稿时间： | 2005-08-14 |
Genetic diversity in Festuca arundinaces based on random amplified polymorphic (RAPD) DNA analysis |
| |
| TIAN Zhi-hong,QIU Yong-fu,YAN Han,HE Yong. Genetic diversity in Festuca arundinaces based on random amplified polymorphic (RAPD) DNA analysis[J]. Acta Prataculturae Sinica, 2007, 16(1): 58-63 |
| |
| Authors: | TIAN Zhi-hong QIU Yong-fu YAN Han HE Yong |
| |
| Affiliation: | College of Life Science, Yangtze University, Jingzhou 434025, China |
| |
| Abstract: | Fifteen varieties of F.arundinaces introduced from foreign countries were assessed for genetic diversity by RAPD DNA analysis using twelve primers selected from 60 arbitrary primers.They amplified a total of 85 DNA bands of which 59 DNA bands(69.41%) were polymorphic: the average number of polymorphic DNA bands amplified by each primer was 4.92.The range of Jaccard's genetic similarity coefficient among these varieties varied from 0.373 to 0.932 sa assessed by NTSYS-PC software.A DNA molecular dendrogram was established for 15 varieties of F.arundinaces based on UPGMA analysis of the genetic similarity matrix.Three groups were idnetified based on a standard of 0.68 similarity coefficient in the dendrogram,"Triplet" and "Pixie" each constituted a group and the other varieties clustered together as a third group. |
| |
| Keywords: | F.arundinaces genetic diversity RAPD cluster analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
