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利用微卫星分子标记和形态性状研究伊朗节节麦的遗传多样性。

Genetic diversity of Iranian Aegilops tauschii Coss. using microsatellite molecular markers and morphological traits.

机构信息

Molecular Marker Lab, Seed and Plant Certification and Registration Institute, Karaj, Iran.

出版信息

Mol Biol Rep. 2010 Oct;37(7):3413-20. doi: 10.1007/s11033-009-9931-6. Epub 2009 Dec 5.

DOI:10.1007/s11033-009-9931-6
PMID:19967455
Abstract

Aegilops tauschii Coss. is a diploid (2n = 2x = 14,DD) goat grass species which has contributed the D genome in common wheat. Genetic variations in 28 accessions of Aegilops tauschii belonged to different provinces of Iran, were evaluated using 16 morphological traits and 19 SSR markers. In number of spikelet per spike and plant height, there was a high variation in ssp. tauschii and ssp. strangulata respectively and for days to mature a low variation in both subspecies was found. Discriminant function analysis showed that 67.9% of original grouped cases correctly classified. Factor analysis indicated that three factor explain 66.49% of total variation. The three clusters revealed by the cluster analysis were not consistent with their geographical distributions. We determined 208 alleles using 19 microsatellites. Average of alleles for every locus was 10.94. The total average of PIC was 0.267. 2261 bands produced for total of genotypes and Chinese Spring had the highest bands (95 alleles). The range of similarity coefficients was between 0.23 and 0.73. Genotypes were clustered using UPGMA method. The accessions did not match according to morphological cluster and geographical regions. 51.2% of total variations were related to 9 principle components.

摘要

粗山羊草 Coss. 是一种二倍体(2n = 2x = 14,DD)山羊草物种,它为普通小麦贡献了 D 基因组。对来自伊朗不同省份的 28 份粗山羊草材料进行了 16 个形态性状和 19 个 SSR 标记的遗传变异评估。在小穗数和株高方面,tauschii 亚种和 strangulata 亚种分别存在高度变异,而在两个亚种中,成熟天数的变异较低。判别函数分析表明,67.9%的原始分组案例得到了正确分类。因子分析表明,三个因子解释了总变异的 66.49%。聚类分析揭示的三个聚类与它们的地理分布不一致。我们使用 19 个微卫星确定了 208 个等位基因。每个位点的平均等位基因数为 10.94。总 PIC 平均值为 0.267。共产生了 2261 个条带,用于分析所有基因型,其中中国春的条带最多(95 个等位基因)。相似系数的范围在 0.23 到 0.73 之间。使用 UPGMA 方法对基因型进行聚类。根据形态聚类和地理区域,材料不匹配。总变异的 51.2%与 9 个主要成分有关。

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