Korir N K, Diao W, Tao R, Li X, Kayesh E, Li A, Zhen W, Wang S
College of Horticulture, Nanjing Agricultural University, Weigang, Nanjing, China.
Vegetable Research Institute, Jiangsu Provincial Academy of Agricultural Sciences, Nanjing, China.
Genet Mol Res. 2014 Jan 8;13(1):43-53. doi: 10.4238/2014.January.8.3.
The genetic diversity and relationship of 42 tomato varieties sourced from different geographic regions was examined with EST-SSR markers. The genetic diversity was between 0.18 and 0.77, with a mean of 0.49; the polymorphic information content ranged from 0.17 to 0.74, with a mean of 0.45. This indicates a fairly high degree of diversity among these tomato varieties. Based on the cluster analysis using unweighted pair-group method with arithmetic average (UPGMA), all the tomato varieties fell into 5 groups, with no obvious geographical distribution characteristics despite their diverse sources. The principal component analysis (PCA) supported the clustering result; however, relationships among varieties were more complex in the PCA scatterplot than in the UPGMA dendrogram. This information about the genetic relationships between these tomato lines helps distinguish these 42 varieties and will be useful for tomato variety breeding and selection. We confirm that the EST-SSR marker system is useful for studying genetic diversity among tomato varieties. The high degree of polymorphism and the large number of bands obtained per assay shows that SSR is the most informative marker system for tomato genotyping for purposes of rights/protection and for the tomato industry in general. It is recommended that these varieties be subjected to identification using an SSR-based manual cultivar identification diagram strategy or other easy-to-use and referable methods so as to provide a complete set of information concerning genetic relationships and a readily usable means of identifying these varieties.
利用EST-SSR标记对42个来自不同地理区域的番茄品种的遗传多样性及亲缘关系进行了研究。遗传多样性在0.18至0.77之间,平均为0.49;多态信息含量范围为0.17至0.74,平均为0.45。这表明这些番茄品种间具有较高的多样性。基于非加权组平均法(UPGMA)的聚类分析,所有番茄品种分为5组,尽管来源多样,但无明显的地理分布特征。主成分分析(PCA)支持聚类结果;然而,PCA散点图中品种间的关系比UPGMA树状图中的更为复杂。这些番茄品系间遗传关系的信息有助于区分这42个品种,对番茄品种选育和选择具有重要意义。我们证实EST-SSR标记系统可用于研究番茄品种间的遗传多样性。每个检测获得的高多态性和大量条带表明,SSR是用于番茄基因分型以进行权利/保护以及对整个番茄产业而言最具信息性的标记系统。建议使用基于SSR的人工品种鉴定图策略或其他易于使用且可参考的方法对这些品种进行鉴定,以便提供一套完整的遗传关系信息以及一种易于使用的品种鉴定方法。