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首页> 外文期刊>Journal of Genetics >Molecular evaluation of genetic diversity and association studies in rice (Oryza sativa L.)
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Molecular evaluation of genetic diversity and association studies in rice (Oryza sativa L.)

机译:水稻遗传多样性的分子评估和关联研究

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摘要

In the present study, we tested rice genotypes that included un(der)exploited landraces of Tamil Nadu along with indica and japonica test cultivars to ascertain their genetic diversity structure. Highly polymorphic microsatellite markers were used for generating marker segregation data. A novel measure, allele discrimination index, was used to determine subpopulation differentiation power of each marker. Phenotypic data were collected for yield and component traits. Pattern of molecular differentiation separated indica and japonica genotypes; indica genotypes had two subpopulations within. Landraces were found to have indica genome, but formed a separate subgroup with low linkage disequilibrium. The landraces further separated into distinct group in both hierarchical clustering analysis using neighbour-joining method as well as in the model based population structure analysis. Japonica and the remaining indica cultivars formed two other distinct groups. Linkage disequilibrium observed in the whole population was considerably reduced in subpopulations. Low linkage disequilibrium of landforms suggests their narrow adaptation in local geographical niche. Many population specific alleles could be identified particularly for japonica cultivars and landraces. Association analysis revealed nine marker–trait associations with three agronomic traits, of which 67% were previously reported. Although the testing landraces together with known cultivars had permitted genome-wide association mapping, the experiment offers scope to study more landraces collected from the entire geographical region for drawing more reliable information.
机译:在本研究中,我们测试了水稻基因型,其中包括未开发的泰米尔纳德邦地方品种,以及j稻和粳稻试验品种,以确定其遗传多样性结构。高度多态的微卫星标记用于生成标记分离数据。一种新的措施,等位基因鉴别指数,用于确定每个标记的亚群分化能力。收集表型数据以了解产量和成分性状。 separated稻和粳稻基因型分离的分子分化模式; d型基因型内有两个亚群。发现地方品种具有in基因组,但形成了一个低连锁不平衡的独立亚组。在使用邻域连接法的层次聚类分析以及基于模型的人口结构分析中,地方种族进一步分为不同的组。粳稻和其余的d稻品种又形成了另外两个不同的群体。在整个种群中观察到的连锁不平衡在亚群中显着减少。地貌的低连锁不平衡表明它们在当地地理环境中的适应性很窄。可以确定许多特定于人群的等位基因,特别是针对粳稻品种和地方品种。关联分析揭示了九个标记-性状关联与三个农艺性状,其中先前报道的占67%。尽管测试地方品种和已知品种已允许在全基因组范围内进行关联作图,但该实验为研究从整个地理区域收集的更多地方品种提供了范围,以绘制更可靠的信息。

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