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| 利用微卫星标记鉴定扁蓿豆种质资源 | |
| 引用本文： | 李鸿雁,李志勇,米福贵,卢新雄,师文贵.利用微卫星标记鉴定扁蓿豆种质资源[J].华北农学报,2008,23(3). |
| 作者姓名： | 李鸿雁 李志勇 米福贵 卢新雄 师文贵 |
| 作者单位： | 1. 内蒙古农业大学,内蒙古,呼和浩特,010010;中国农业科学院,草原研究所,内蒙古呼和浩特,010010 2. 中国农业科学院,草原研究所,内蒙古呼和浩特,010010 3. 内蒙古农业大学,内蒙古,呼和浩特,010010 4. 中国农业科学院,作物品种资源研究所,北京,100081 |
| 基金项目： | 科技部科技基础条件平台建设计划 , 农业部作物种质资源保护项目 |
| 摘 要： | 对扁蓿豆种质资源进行遗传多样性和亲缘关系分析,为育种者选择亲本和种质资源的开发提供理论依据。采用微卫星分子标记对来自内蒙古野生扁蓿豆种质资源50份材料进行鉴定。用8份扁蓿豆基因组DNA从89对截形苜蓿SSR引物中鉴定筛选出扩增带单一、稳定清晰且多态性强的18对引物。用这18对引物,对扁蓿豆材料的DNA进行SSR扩增,以研究其遗传多态性。结果共检测到109个等位位点,平均每对引物扩增出6.1个等位位点。6对SSR引物BI4BO3,MTIC272,MAL369471,MTIC237,MTIC188和MTIC27对于检测扁蓿豆遗传变异最有效。供试材料间遗传距离介于0.023 6~0.807 5,平均遗传距离为0.177 8。聚类分析构建了亲缘关系树状图,大致分为9大类。 |
| 关 键 词： | 扁蓿豆 微卫星标记 多态性聚类分析 |
Appraisal of Medicago Ruthenica Germplasms by SSR Markers |
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| LI Hong-yan,LI Zhi-yong,MI Fu-gui,LU Xin-xiong,SHI Wen-gui.Appraisal of Medicago Ruthenica Germplasms by SSR Markers[J].Acta Agriculturae Boreali-Sinica,2008,23(3). | |
| Authors: | LI Hong-yan LI Zhi-yong MI Fu-gui LU Xin-xiong SHI Wen-gui |
| Abstract: | Eighteen reproducible and informative SSR primer pairs were selected from the 89 pairs of primers of Medicago truncatula.In 8 genome DNA of Medicago ruthenica.And a representative set of 50 wild Medicago ruthenica genetic resources from Inner Mongolian were analyzed by SSR methodology using the informative primer paris for their diversity of genetic.The results showed a total of 109 alleles were detected with an average of 6.1 alleles per SSR primer pair.According to integrated evaluation,6 SSR primer pair,BI4BO3,MTIC272,MAL369471,MTIC237,MTIC188 and MTIC27 were most effective for genetic diversity studies on Medicago ruthenica.The genetic distances among the germplasms ranged between 0.023 6 and 0.807 5 with their average at 0.177 8.By cluster analysis with sum of squares for microsatellite showed that 50 accessions can be divided into 9 groups with different characteristics which could afford reference in deeper research on Medicago ruthenica. |
| Keywords: | Medicago ruthenica Microsatellite Polymorphism Cluster analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |