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Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.)

机译:基因组区域发现基于水稻(Oryza Sativa L.)的下一代QTL-SEQ方法的晶粒重量和候选基因

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Rice (Oryza sativa L.) yield enhancement is one of the prime objectives of plant breeders. Elucidation of the inheritance of grain weight, a key yield component trait, is of paramount importance for raising the yield thresholds in rice. In the present investigation, we employed Next-Generation Sequencing based QTL-seq approach to identify major genomic regions associated with grain weight using mapping populations derived from a cross between BPT5204 and MTU3626. QTL-seq analysis identified three grain weight quantitative trait loci (QTL) viz., qGW1 (35-40 Mb), qGW7 (10-18 Mb), and qGW8 (2-5 Mb) on chromosomes 1, 7 and 8, respectively and all are found to be novel. Further, qGW8 was confirmed through conventional QTL mapping in F-2, F-3 and BC1F2 populations and found to explain the phenotypic variance of 17.88%, 16.70% and 15.00%, respectively, indicating a major QTL for grain weight. Based on previous reports, two candidate genes in the qGW8 QTL were predicted i.e., LOC_Os08g01490 (Cytochrome P450), and LOC_Os08g01680 (WD domain, G-beta repeat domain containing protein) and through in silico analysis they were found to be highly expressed in reproductive organs during different stages of grain development. Here, we have demonstrated that QTL-seq is one of the rapid approaches to uncover novel QTLs controlling complex traits. The candidate genes identified in the present study undoubtedly enhance our understanding of the mechanism and inheritance of the grain weight. These candidate genes can be exploited for yield enhancement after confirmation through complementary studies.
机译:米(Oryza sativa L.)产量增强是植物育种者的主要目标之一。阐明谷粒重量的遗传,一个关键产量分子特征,对提高水稻产量阈值至关重要。在本研究中,我们使用基于下一代的QTL-SEQ方法来鉴定与谷粒重量相关的主要基因组区域,使用来自BPT5204和MTU3626之间的交叉的映射群体。 QTL-SEQ分析鉴定了三种谷物重量定量性状基因座(QTL)QZ,QGW1(35-40 MB),QGW7(10-18 MB)和QGW8(2-5 MB)分别在染色体1,7和8上所有人都被发现是新颖的。此外,通过F-2,F-3和BC1F2种群的常规QTL测绘证实了QGW8,发现分别解释了17.88%,16.70%和15.00%的表型方差,表明粒重的主要QTL。基于先前的报告,预测QGW8 QTL中的两种候选基因,即Loc_OS08G01490(细胞色素P450)和Loc_OS08G01680(WD结构域,G-β重复域含有蛋白质),并通过在硅分析中发现它们在生殖中高度表达粮食发展不同阶段的器官。在这里,我们已经证明了QTL-SEQ是揭开控制复杂性状的新型QTLS的快速方法之一。本研究中鉴定的候选基因无疑提高了我们对谷物重量的机制和遗传的理解。通过互补研究确认后,可以利用这些候选基因进行屈服增强。

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