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| 法国蜜环菌Armillaria gallica菌株遗传多样性的ISSR分析 | |
| 引用本文： | 孙立夫,裴克全,张艳华,赵俊,杨国亭,秦国夫,宋玉双,宋瑞清.法国蜜环菌Armillaria gallica菌株遗传多样性的ISSR分析[J].菌物学报,2011,30(5):686-694. |
| 作者姓名： | 孙立夫 裴克全 张艳华 赵俊 杨国亭 秦国夫 宋玉双 宋瑞清 |
| 作者单位： | 1. 绍兴文理学院生命科学学院 绍兴312000 2. 中国科学院植物研究所生态中心 北京100093 3. 国家林业局森林病虫害防治总站 沈阳110034 4. 东北林业大学林学院 哈尔滨150040 |
| 基金项目： | 浙江省自然科学基金（No. Y3090409）；哈尔滨市青年科学基金（No. 2002AFQXJ006） |
| 摘 要： | 在中国东北地区共采集到53个法国蜜环菌Armillaria gallica菌株，用ISSR（Inter-Simple Sequence Repeat）标记技术对这些菌株进行遗传多样性分析。用6个ISSR引物扩增所得条带表明，ISSR标记在蜜环菌中存在较高的多态性；亲缘关系树状图表明，有3个菌株遗传分化明显；其余50个分别来自3个不同地理居群的菌株聚成一类，亲缘关系较近，没有表现出地理隔离。 |
| 关 键 词： | 亲缘关系 聚类分析 地理隔离 |
Genetic diversity of Armillaria gallica revealed by ISSR analysis |
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| Authors: | SUN Li-Fu PEI Ke-Quan ZHANG Yan-Hu ZHAO Jun YANG Guo-Ting QIN Guo-Fu SONG Yu-Shuang and SONG Rui-Qing |
| Institution: | Life Science College, University of Shaoxing, Shaoxing 312000, China;Ecology Centre, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;Life Science College, University of Shaoxing, Shaoxing 312000, China;Forest Diseases and Insect Pests Prevention and Cure General Station of Chinese State Forestry Department, Shenyang 110034, China;School of Forestry, Northeast Forestry University, Harbin 150040, China;Forest Diseases and Insect Pests Prevention and Cure General Station of Chinese State Forestry Department, Shenyang 110034, China;Forest Diseases and Insect Pests Prevention and Cure General Station of Chinese State Forestry Department, Shenyang 110034, China;School of Forestry, Northeast Forestry University, Harbin 150040, China |
| Abstract: | Fifty-three isolates of Armillaria gallica were collected in the Northeast of China. The genetic diversity of these isolates was revealed by ISSR analysis. Polymorphic bands were generated with 6 primers indicated that high diversity was conserved in the Chinese A. gallica isolates. The dendrogram of genetic relationships demonstrated that 3 isolates of China had generated distinct genetic differentiation. The other 50 isolates which were sampled from 3 different geographic populations were mixed into one cluster, and showed a closer genetic relationship without geographical isolation. |
| Keywords: | genetic relationship cluster analysis geographical isolation |
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