Lab of Molecular Genetics, College of Life Sciences, Nankai University, Tianjin, China.
Biochem Genet. 2010 Feb;48(1-2):44-56. doi: 10.1007/s10528-009-9294-7. Epub 2009 Nov 22.
The genetic diversity of 116 barley accessions, representing five Chinese eco-geographic populations, was studied using simple sequence repeat (SSR) markers. The 21 SSR loci revealed 128 alleles with an average of 6.1 alleles per locus. The highest values of proportion of polymorphic loci (P) and gene diversity index (He) were obtained in the Northern (P = 1.00; He = 0.60) and the Yangtze River reaches and Southern populations (P = 1.00; He = 0.59). The lowest values were in the populations of the Yellow River reaches (P = 0.86; He = 0.44). The highest average number of alleles per locus (4.52) and number of unique alleles (7) were found in the Qinghai-Tibet plateau population. Cluster analysis revealed that together with the row type, strong eco-geographic variables influenced the classification. Associations of SSR and eco-geographic values were established for 11 SSR loci. Four to six markers were found to discriminate among geographic groups, which may serve as tools for diagnosis of the eco-geographic populations and provide evidence for the adaptive nature of SSR markers.
利用简单重复序列(SSR)标记对来自中国五个生态地理种群的 116 份大麦材料的遗传多样性进行了研究。21 个 SSR 标记共检测到 128 个等位基因,每个标记平均有 6.1 个等位基因。在北方(P=1.00;He=0.60)和长江流域及南方种群(P=1.00;He=0.59)中,多态性位点比例(P)和基因多样性指数(He)的最高值。在黄河流域种群中,这两个值最低(P=0.86;He=0.44)。在青藏高原种群中,每个位点的平均等位基因数(4.52)和独特等位基因数(7)最高。聚类分析表明,与行型一起,强烈的生态地理变量影响了分类。在 11 个 SSR 标记中建立了 SSR 与生态地理值之间的关联。发现 4 到 6 个标记可以区分地理群体,这些标记可作为生态地理群体的诊断工具,并为 SSR 标记的适应性提供证据。