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Application of resistance gene analog markers to analyses of genetic structure and diversity in rice

文献类型: 外文期刊

作者: Ren, Juansheng 1 ; Yu, Yuchao 1 ; Gao, Fangyuan 1 ; Zeng, Lihua 2 ; Lu, Xianjun 1 ; Wu, Xianting 1 ; Yan, Wengui 3 ; Ren, 1 ;

作者机构: 1.Sichuan Acad Agr Sci, Crop Res Inst, Chengdu 610066, Peoples R China

2.Sichuan Normal Univ, Chengdu 610066, Peoples R China

3.ARS, USDA, Dale Bumpers Natl Rice Res Ctr, Stuttgart, AR 72160 USA

关键词: Diversity;Genetic structure;RGA marker;Rice;SSR marker

期刊名称:GENOME ( 影响因子:2.166; 五年影响因子:2.474 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: Plant disease resistance gene analog (RGA) markers were designed according to the conserved sequence of known RGAs and used to map resistance genes. We used genome-wide RGA markers for genetic analyses of structure and diversity in a global rice germplasm collection. Of the 472 RGA markers, 138 were polymorphic and these were applied to 178 entries selected from the USDA rice core collection. Results from the RGA markers were similar between two methods, UPGMA and STRUCTURE. Additionally, the results from RGA markers in our study were agreeable with those previously reported from SSR markers, including cluster of ancestral classification, genetic diversity estimates, genetic relatedness, and cluster of geographic origins. These results suggest that RGA markers are applicable for analyses of genetic structure and diversity in rice. However, unlike SSR markers, the RGA markers failed to differentiate temperate japonica, tropical japonica, and aromatic subgroups. The restricted way for developing RGA markers from the cDNA sequence might limit the polymorphism of RGA markers in the genome, thus limiting the discriminatory power in comparison with SSR markers. Genetic differentiation obtained using RGA markers may be useful for defining genetic diversity of a suite of random R genes in plants, as many studies show a differentiation of resistance to a wide array of pathogens. They could also help to characterize the genetic structure and geographic distribution in crops, including rice, wheat, barley, and banana.

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