Revelation of genetic diversity and structure of wild Elymus excelsus (Poaceae: Triticeae) collection from western China by SSR markers
Revelation of genetic diversity and structure of wild Elymus excelsus (Poaceae: Triticeae) collection from western China by SSR markers
复制标题
SSR标记揭示中国西部野生披碱草（禾本科：小麦科）遗传多样性和结构
作者：
Yanli Xiong;Wenhui Liu;Yi Xiong;Qingqing Yu;Ma Xiao;Xiong Lei;Xinquan Zhang;Daxu Li
作为世界第三极的青藏高原和地处欧亚大陆中心的新疆，拥有独特而重要的植物种质资源，是多年生小麦族牧草的主要分布区，尤其是披碱草属植物。披碱草Elymus Exelsus Turcz.EX Griseb是一种多年生牧草，对干旱、寒冷、土壤贫瘠等环境胁迫具有很强的耐受性，因其种子产量高，可适当用于草地建设。本研究利用微卫星标记技术，对新疆25份野生种质资源和中国西部的四川、甘肃等25份野生种质资源的遗传变异和群体结构进行了分析，为种质资源的收集、育种和利用提供基础信息。3个亲缘关系种的35对引物扩增出15 9条多态性条带，每对引物的多态信息含量(PIC)、标记指数(MI)、分辨率(Rp)、Nei‘s遗传多样性(H)和Shannon’s多样性指数(I)的平均值分别为0.289、1.348、1.897、0.301和0.459，验证了这些微卫星标记也可用于大叶龙须草种质资源的遗传多样性评价，显示出EST-SSR较G-SSR具有更好的通用性。XJC组、SCC组和GSC组的遗传分化相对中等(Fst=0.151)，值得注意的是，SCC组(He=0.197)的组内遗传多样性大于GSC组(He=0.176)和XJC组(He=0.148)。非加权配对算法(UPGMA)聚类和主坐标分析(PCoA)均将25份材料分为3个类群，而贝叶斯结构分析表明，这些材料可分为4大类群。此外，本研究还建议将地理距离和环境变量(年平均降水量和生长季平均降水量)结合起来解释不同地理区域间的群体遗传分化，特别是QTP材料。这些资料为新疆地区和中国西部地区的种质资源保护和收集以及育种策略提供了全面的信息。
Hosting unique and important plant germplasms, the Qinghai-Tibet Plateau (QTP), as the third pole of the world, and Xinjiang, located in the centre of the Eurasian continent, are major distribution areas of perennial Triticeae grasses, especially the widespread Elymus species. Elymus excelsus Turcz. ex Griseb, a perennial forage grass with strong tolerance to environmental stresses, such as drought, cold and soil impoverishment, can be appropriately used for grassland establishment due to its high seed production. To provide basic information for collection, breeding strategies and utilization of E. excelsus germplasm, microsatellite markers (SSR) were employed in the present study to determine the genetic variation and population structure of 25 wild accessions of E. excelsus from Xinjiang (XJC) and the QTP, including Sichuan (SCC) and Gansu (GSC) of western China. Based on the 159 polymorphic bands amplified by 35 primer pairs developed from three related species, the average values of the polymorphic information content (PIC), marker index (MI), resolving power (Rp), Nei’s genetic diversity (H) and Shannon’s diversity index (I) of each pair of primers were 0.289, 1.348, 1.897, 0.301 and 0.459, respectively, validating that these SSR markers can also be used for the evaluation of genetic diversity of E. excelsus germplasms, and demonstrating the superior versatility of EST-SSR vs. G-SSR. We found a relatively moderate differentiation (Fst = 0.151) among the XJC, SCC and GSC geo-groups, and it is worth noting that, the intra-group genetic diversity of the SCC group (He = 0.197) was greater than that of the GSC (He = 0.176) and XJC (He = 0.148) groups. Both the Unweighted Pair Group Method with Arithmetic (UPGMA) clustering and principal coordinates analysis (PCoA) divided the 25 accessions into three groups, whereas the Bayesian STRUCTURE analysis suggested that E. excelsus accessions fell into four main clusters. Besides, this study suggested that geographical distance and environmental variables (annual mean precipitation and average precipitation in growing seasons), especially for QTP accessions, should be combined to explain the population genetic differentiation among the divergent geographical regions. These data provided comprehensive information about these valuable E. excelsus germplasm resources for the protection and collection of germplasms and for breeding strategies in areas of Xinjiang and QTP in western China.
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DOI：
--
发表时间：
1993
期刊：
Acta Pratacultural Science
影响因子：
--
作者：
S. J. Wang;J. H. Li
通讯作者：
S. J. Wang;J. H. Li
DOI：
10.1099/00207713-51-3-731
发表时间：
2001-05-01
影响因子：
2.8
作者：
Hampl, V;Pavlícek, A;Flegr, J
通讯作者：
Flegr, J
影响因子：
1.5
作者：
Eleonora Zambrano Blanco;M. Bajay;M. Siqueira;M. Zucchi;J. B. Pinheiro
通讯作者：
Eleonora Zambrano Blanco;M. Bajay;M. Siqueira;M. Zucchi;J. B. Pinheiro
影响因子：
1.1
作者：
B. L. Wilson;J. Kitzmiller;Wayne Rolle;V. Hipkins
通讯作者：
B. L. Wilson;J. Kitzmiller;Wayne Rolle;V. Hipkins
DOI：
--
发表时间：
1998
期刊：
--
影响因子：
--
作者：
M. Hebsur
通讯作者：
M. Hebsur