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首页> 外文期刊>Rice >Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa
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Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa

机译：利用SSR标记分析水稻种质中的种群结构和遗传多样性：一项针对稻米农艺性状的关联图谱研究

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BackgroundGenetic diversity is the main source of variability in any crop improvement program. It serves as a reservoir for identifying superior alleles controlling key agronomic and quality traits through allele mining/association mapping. Association mapping based on LD (Linkage dis-equilibrium), non-random associations between causative loci and phenotype in natural population is highly useful in dissecting out genetic basis of complex traits. For any successful association mapping program, understanding the population structure and assessing the kinship relatedness is essential before making correlation between superior alleles and traits. The present study was aimed at evaluating the genetic variation and population structure in a collection of 192 rice germplasm lines including local landraces, improved varieties and exotic lines from diverse origin. ResultsA set of 192 diverse rice germplasm lines were genotyped using 61 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. Genotyping of 192 rice lines using 61 SSRs produced a total of 205 alleles with the PIC value of 0.756. Population structure analysis using model based and distance based approaches revealed that the germplasm lines were grouped into two distinct subgroups. AMOVA analysis has explained that 14?% of variation was due to difference between with the remaining 86?% variation may be attributed by difference within groups. ConclusionsBased on these above analysis viz., population structure and genetic relatedness, a core collection of 150 rice germplasm lines were assembled as an association mapping panel for establishing marker trait associations.
机译：背景技术遗传多样性是任何作物改良计划中变异的主要来源。它用作通过等位基因挖掘/关联作图识别控制关键农艺和品质性状的优良等位基因的库。基于LD（连锁不平衡）的关联映射，自然种群中致病基因座与表型之间的非随机关联对于剖析复杂性状的遗传基础非常有用。对于任何成功的关联作图程序，在优等位基因和性状之间建立关联之前，了解种群结构并评估亲属关系至关重要。本研究旨在评估192种水稻种质系的遗传变异和种群结构，其中包括当地地方品种，改良品种和来自不同起源的外来种系。结果利用61个全基因组SSR标记对192个不同水稻种质进行了基因分型，以评估其分子遗传多样性和遗传相关性。使用61个SSR对192个水稻品系进行基因分型，产生了205个等位基因，PIC值为0.756。使用基于模型和基于距离的方法进行的种群结构分析表明，种质系分为两个不同的亚组。 AMOVA分析表明，14％的差异是由于之间的差异，其余86％的差异可能是由于组内差异所致。结论基于上述分析，即种群结构和遗传相关性，组装了150个水稻种质核心核心作为关联作图小组，以建立标记性状关联。

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