An estimation of the minimum number of SSR alleles needed to reveal genetic relationships in wheat varieties. I. Information from large-scale planted varieties and cornerstone breeding parents in Chinese wheat improvement and production

文献类型： 外文期刊

第一作者： Zhang, XY

作者： Zhang, XY;Li, CW;Wang, LF;Wang, HM;You, GX;Dong, YS

作者机构：

关键词： wheat;SSR;genetic relationships;genetic diversity

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.699； 五年影响因子：5.565 ）

ISSN： 0040-5752

年卷期： 2002 年 106 卷 1 期

页码：

收录情况： SCI

摘要： The genetic relationships of 43 wheat varieties were analyzed with SSR markers. The materials employed included 14 cornerstone breeding parents used before 1980 and another 29 other large-scale planted varieties currently in use in China. A total of 501 different alleles were amplified, including 166 alleles of the A genome, 174 of the B genome and 161 of the D genome. Data obtained were used to estimate genetic similarity using the DICE coefficient, and dendrograms were constructed using the UPGMA method. The dendrogram with 501 alleles successfully differentiated all the cornerstone breeding parents and the large-scale planted varieties, and the dendogram tree was basically consistent with the pedigrees of these varieties. The correlation coefficient between the genetic distance matrix of 501 alleles and that of 450 was 0.99. Correlation coefficients among random samples of alleles suggested that 350 to 400 alleles were needed to detect genetic relationships among common wheat varieties. Correlation coefficients of a genetic similarity matrix based on 580, and those of 501 and 400, random alleles were 0.96 and 0.94, respectively. However, there were marked differences between the matrix based on the 501 alleles and those based on markers located on the A-, B- or D-genome independently. The correlation coefficients between the genetic distance matrix of 501 alleles and alleles within A, B or D genomes were 0.77, 0.76 and 0.67. The estimation of genetic similarity should be based on data from all genomes rather than any one genome.

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