Phylogeographic structure of Primula obconica (Primulaceae) inferred from chloroplast microsatellites (cpSSRs) markers
Phylogeographic structure of Primula obconica (Primulaceae) inferred from chloroplast microsatellites (cpSSRs) markers
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从叶绿体微卫星 (cpSSR) 标记推断的报春花（报春科）的系统发育地理学结构
DOI：
10.1360/aps06214
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发表时间：
2007-03
期刊：
影响因子：
--
通讯作者：
Hao Gang
中科院分区：
文献类型：
--
作者：
Yan Hai-Fei;Peng Ching-, I;Hu Chi-Ming;Hao Gang
倒锥报春是一种广受欢迎的园林植物。为了揭示中国野生稻的遗传多样性格局和进化过程，利用叶绿体微卫星（cpSSR）标记对中国野生稻分布区17个居群的278个个体进行了遗传多样性分析。我们的数据集确定了4个位点，共14个单倍型。总的基因多样性（HT =0.971）较高，而居群内的基因多样性（HS=0.028）较低。分子方差分析（AMOVA）表明，98%的变异存在于居群间.结果表明，过去的碎片化和有限的传播能力的种子可能在形成目前的遗传结构中发挥重要作用。Nst值显著高于Gst值，表明在同一地区经常发现密切相关的单倍型，并且在最小生成树（MST）中发现了两个不同的类群，它们占据不同的地理区域。此外，在两组中分别检测到较老的单倍型。在湖北西部和中国西南部的冰川期可能的避难所推断。
Primula obconica has been cultivated widely as a popular garden plant. In order to discover the pattern of genetic diversity and the evolutionary process, a total of 278 individuals from 17 populations throughout its distribution in China were analyzed using chloroplast microsatellites (cpSSRs) markers. Four loci and a total of 14 haplotypes were identified by our data set. The total gene diversity (HT =0.971) is high, while gene diversity within populations (HS=0.028) is low. Analysis of molecular variance (AMOVA) shows that about 98% variation is among populations. The results suggest that past fragmentation and limited dispersal ability of seeds might play important roles in forming the present genetic structure. A significantly higher value of Nst than that of Gst indicates that closely related haplotypes are often found in the same area, and we found two different groups in the minimum spanning tree (MST), which occupy different geographic regions. Furthermore, older haplotypes were detected in the two groups, respectively. Possible refugia are inferred in western Hubei Province and SW China during the glacial period.
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影响因子：
3.1
作者：
K. Weising;R. Gardner
通讯作者：
K. Weising;R. Gardner
DOI：
10.1111/j.1095-8312.1999.tb01160.x
发表时间：
1999-09-01
影响因子：
1.9
作者：
Hewitt, GM
通讯作者：
Hewitt, GM
影响因子：
3.7
作者：
Ying Tsün-Shen;Ma Cheng-gong;Chang Che-Sung
通讯作者：
Ying Tsün-Shen;Ma Cheng-gong;Chang Che-Sung
影响因子：
--
作者：
Ying Tsun
通讯作者：
Ying Tsun
DOI：
10.1073/pnas.92.17.7759
发表时间：
1995-08-15
影响因子：
11.1
作者：
POWELL, W;MORGANTE, M;RAFALSKI, JA
通讯作者：
RAFALSKI, JA