| 青藏高原老芒麦种质遗传多样性的SSR分析 |
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| 引用本文： | 鄢家俊,白史且,常丹,游明鸿,张昌兵,李达旭.青藏高原老芒麦种质遗传多样性的SSR分析[J].中国农学通报,2010,26(9):26-33. |
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| 作者姓名： | 鄢家俊 白史且 常丹 游明鸿 张昌兵 李达旭 |
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| 作者单位： | 1. 四川省草原科学研究院,成都,611731
2. 四川农业大学草业科学系,四川雅安,625014 |
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| 基金项目： | 国家公益性农业行业专项;现代农业产业技术体系建设专项资金;国家“十一五”科技支撑计划项目 |
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| 摘 要： | 青藏高原是世界生物多样性中心,野生老芒麦分布广泛,为了解在高寒高海拔这一特殊生态条件下,老芒麦的遗传背景,笔者首次采用SSR标记技术对来自青藏高原的52份老芒麦(Elymus sibiricus L.)材料的遗传变异及亲缘关系进行了研究。获得下述结果:(1)18对SSR引物共扩增出236条清晰的条带,其中多态性条带204条,多态性位点率(PPB)为86.44%,每对引物扩增出7～20条带纹,平均为13.1条,多态性信息(PIC)含量为0.267～0.471,平均为0.35,SSR标记效率(MI)为3.98;(2)材料间的遗传相似系数(GS)为0.622～0.895,平均GS值为0.766,52份种质的Nei’s遗传多样性指数(He)为0.3286,Shannon指数(Ho)为0.4851;(3)聚类分析将52份老芒麦材料分成5大类,具有相同地理来源或相似生境的材料趋向于聚为一类。以上结果表明供试材料间差异明显,具有丰富的遗传多样性,应加快对该地区野生老芒麦资源的收集和利用。
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| 关 键 词： | 黄瓜 黄瓜 1-MCP处理 冷害 贮藏 |
| 收稿时间： | 2009-12-03 |
| 修稿时间： | 2009-12-17 |
Genetic diversity of wild Elymus sibiricus L. germplasm from Qinghai–Tibetan Plateau in China detected by SSR markers |
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| Yan Jiajun,Bai Shiqie,Chang Dan,You Minghong,Zhang Changbing,Li Daxu.Genetic diversity of wild Elymus sibiricus L. germplasm from Qinghai–Tibetan Plateau in China detected by SSR markers[J].Chinese Agricultural Science Bulletin,2010,26(9):26-33. |
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| Authors: | Yan Jiajun Bai Shiqie Chang Dan You Minghong Zhang Changbing Li Daxu |
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| Institution: | 1Sichuan Grassland Science Academy, Chengdu 611731; 2Department of Grassland, Sichuan Agricultural University, Ya’an Sichuan 625014 |
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| Abstract: | The genetic diversity of 52 E. sibiricus accessions were evaluated by SSR markers. A total of 318 fragments were identified with 18 SSR primers sets, of which 204 (86.48% ) were polymorphic, and each primer generated 13.1 fragments, the polymorphism information content (PIC) per primer was 0.267~0.471, with an average of 0.35, and the marker index (MI) of SSR was 3.98. The genetic similarity (GS) coefficient of the tested accessions ranged from 0.622 to 0.895, with an average of 0.766. The Nei’s index of diversity (He) of the 52 accessions was 0.3286, and the Shannon’s index (Ho) was 0.4851. These results suggested that there was rich genetic diversity among the tested wild resources of E. sibiricus. 52 accessions could be divided into five main groups by cluster and principal component analysis, the accessions from the same region or with the same habitat type tends to were classified into the same group, indicating the geographical distribution of genetic diversity of E. sibiricus. |
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| Keywords: | Cluster analysiszz |
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