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不同地理区域春性面包小麦(普通小麦)遗传多样性的定量结构分析

Quantitative structure analysis of genetic diversity among spring bread wheats (Triticum aestivum L.) from different geographical regions.

作者信息

Hai Lin, Wagner Carola, Friedt Wolfgang

机构信息

Department of Plant Breeding, Research Centre for Biosystems, Land Use and Nutrition, Justus-Liebig University of Giessen, Heinrich-Buff-Ring 26-32, D-35392, Giessen, Germany.

出版信息

Genetica. 2007 Jul;130(3):213-25. doi: 10.1007/s10709-006-9008-6. Epub 2006 Sep 20.

DOI:10.1007/s10709-006-9008-6
PMID:17048074
Abstract

Genetic diversity in spring bread wheat (T. aestivum L.) was studied in a total of 69 accessions. For this purpose, 52 microsatellite (SSR) markers were used and a total of 406 alleles were detected, of which 182 (44.8%) occurred at a frequency of <5% (rare alleles). The number of alleles per locus ranged from 2 to 14 with an average of 7.81. The largest number of alleles per locus occurred in the B genome (8.65) as compared to the A (8.43) and D (5.93) genomes, respectively. The polymorphism index content (PIC) value varied from 0.24 to 0.89 with an average of 0.68. The highest PIC for all accessions was found in the B genome (0.71) as compared to the A (0.68) and D genomes (0.63). Genetic distance-based method (standard UPGMA clustering) and a model-based method (structure analysis) were used for cluster analysis. The two methods led to analogical results. Analysis of molecular variance (AMOVA) showed that 80.6% of the total variation could be explained by the variance within the geographical groups. In comparison to the diversity detected for all accessions (H ( e ) = 0.68), genetic diversity among European spring bread wheats was H ( e ) = 0.65. A comparatively higher diversity was observed between wheat varieties from Southern European countries (Austria/Switzerland, Portugal/Spain) corresponding to those from other regions.

摘要

对总共69份春小麦(普通小麦)种质的遗传多样性进行了研究。为此,使用了52个微卫星(SSR)标记,共检测到406个等位基因,其中182个(44.8%)的出现频率<5%(稀有等位基因)。每个位点的等位基因数在2到14个之间,平均为7.81个。与A基因组(8.43)和D基因组(5.93)相比,每个位点等位基因数量最多的是B基因组(8.65)。多态性信息含量(PIC)值在0.24至0.89之间,平均为0.68。与A基因组(0.68)和D基因组(0.63)相比,所有种质中B基因组的PIC最高(0.71)。基于遗传距离的方法(标准UPGMA聚类)和基于模型的方法(结构分析)用于聚类分析。这两种方法得出了相似的结果。分子方差分析(AMOVA)表明,总变异的80.6%可以由地理组内的方差解释。与所有种质检测到的多样性(H(e)=0.68)相比,欧洲春小麦的遗传多样性为H(e)=0.65。观察到来自南欧国家(奥地利/瑞士、葡萄牙/西班牙)的小麦品种与其他地区的小麦品种之间具有相对较高的多样性。

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