Genetic Diversity and Population Structure of Chinese White Poplar (Populus tomentosa) Revealed by SSR Markers
Genetic Diversity and Population Structure of Chinese White Poplar (Populus tomentosa) Revealed by SSR Markers
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SSR标记揭示毛白杨遗传多样性和种群结构
DOI：
10.1093/jhered/ess061
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发表时间：
2012-11-01
影响因子：
3.1
通讯作者：
Li, Bailian
中科院分区：
文献类型：
--
作者：
Du, Qingzhang;Wang, Bowen;Li, Bailian
了解等位基因多样性和群体结构对于开展关联研究和构建树木育种核心种质具有重要意义。我们研究了人口的遗传分化在本地毛白杨基因型460无关的个人使用20个种特异性微卫星标记。我们确定了99个等位基因，平均4.95个观察到的等位基因每个位点，表明在所有个体的多态性中等水平。基于模型的种群结构分析将毛白杨划分为11个亚群（K = 11）。个体分配到亚群（K = 3）的模式为将气候带作为群体遗传学的遗传区域提供了合理的证据。在南部地区发现了最高水平的遗传变异（即，N = 93，N-P = 11，H-E = 0.445，F = 0.102），其次是东北部和西北部地区。因此，南部地区可能是目前物种分布的中心。种群遗传距离与地理距离之间没有相关性（r = 0.0855，P = 0.3140），说明地理距离不是影响毛白杨遗传分化的主要因素。这些数据为保护宝贵的自然资源和优化育种计划提供了起点。
An understanding of allelic diversity and population structure is important in developing association studies and constructing core collections for tree breeding. We examined population genetic differentiation in the native Populus tomentosa by genotyping 460 unrelated individuals using 20 species-specific microsatellite markers. We identified 99 alleles with a mean of 4.95 observed alleles per locus, indicating a moderate level of polymorphism across all individuals. A model-based population structure analysis divided P. tomentosa into 11 subpopulations (K = 11). The pattern of individual assignments into the subsets (K = 3) provided reasonable evidence for treating climatic zones as genetic regions for population genetics. The highest level of genetic variation was found in the southern region (i.e., N = 93, N-P = 11, H-E = 0.445, F = 0.102), followed by the northeastern and northwestern regions. Thus, the southern region is probably the center of the current species distribution. No correlation was found between population genetic distance and geographic distance (r = 0.0855, P = 0.3140), indicating that geographical distance was not the principal factor influencing genetic differentiation in P. tomentosa. These data provide a starting point for conserving valuable natural resources and optimizing breeding programs.