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利用SSR标记对印度和外来水稻(Oryza sativa L.)种质资源进行群体结构和遗传多样性分析。

Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers.

作者信息

Babu B Kalyana, Meena Vimla, Agarwal Vasudha, Agrawal P K

机构信息

Division of Crop Improvement, Vivekananda Institute of Hill Agriculture VPKAS, Indian Council of Agricultural Research (ICAR), Almora, 263601, Uttarakhand, India.

出版信息

Mol Biol Rep. 2014 Jul;41(7):4329-39. doi: 10.1007/s11033-014-3304-5. Epub 2014 Mar 2.

Abstract

In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥ 0.70), gene diversity (≥ 0.71), and polymorphic alleles (≥ 6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions.

摘要

为了解从包括印度在内的亚洲不同国家收集的82个水稻基因型的群体结构和遗传多样性,使用39个微卫星位点对其进行了表征。群体结构分析表明,水稻基因型中的亚群体最佳数量为4个(K = 4),而系统发育分析将它们分为三个群体。从系统发育和STRUCTURE分析中获得的结果证明,对于根据水稻基因型的起源地进行区分非常有效。使用39个SSR位点进行的遗传多样性分析产生了183个可评分等位基因,其中182个等位基因被观察到是多态性的,每个位点平均有4.8个等位基因。82个水稻基因型中所有多态性引物的多态性信息含量(PIC)值在0.02至0.77之间,平均值为0.50。基因多样性(He)在0.02(RM484)至0.80(OSR13)范围内,平均值为0.55,而异合子性(Ho)平均为0.07,范围从0.01(RM334)至0.31(RM316)。本研究基于PIC值(≥0.70)、基因多样性(≥0.71)和多态性等位基因(≥6)等参数,鉴定出7个高度多态性的SSR位点,即OSR13、RM152、RM144、RM536、RM489、RM259和RM271。这7个多态性引物可有效地用于水稻的进一步分子育种计划和QTL定位研究,因为它们相对于其他位点表现出非常高的多态性。SSR分析导致基因型聚类的分离更加明确,表明SSR标记在准确确定种质间关系方面具有更高的效率水平。

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