Bommisetty Reddyyamini, Chakravartty Navajeet, Bodanapu Reddaiah, Naik Jeevula B, Panda Sanjib K, Lekkala Sivarama P, Lalam Krishna, Thomas George, Mallikarjuna S J, Eswar G R, Kadambari Gopalakrishna M, Bollineni Swarajyalakshmi N, Issa Keerthi, Akkareddy Srividhya, Srilakshmi C, Hariprasadreddy K, Rameshbabu P, Sudhakar P, Gupta Saurabh, Lachagari V B R, Vemireddy Lakshminarayana R
Department of Genetics and Plant Breeding, S.V Agricultural College, Acharya NG Ranga Agricultural University (ANGRAU), Tirupati, 517502, India.
AgriGenome Labs Pvt Ltd., SINC, IKP Knowledge Park, Genome Valley, Hyderabad, India.
Mol Biol Rep. 2020 Nov;47(11):8615-8627. doi: 10.1007/s11033-020-05904-7. Epub 2020 Oct 24.
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, F and BCF 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.
提高水稻（Oryza sativa L.）产量是植物育种者的主要目标之一。阐明粒重这一关键产量构成性状的遗传特性对于提高水稻产量阈值至关重要。在本研究中，我们采用基于下一代测序的QTL-seq方法，利用BPT5204和MTU3626杂交产生的作图群体，鉴定与粒重相关的主要基因组区域。QTL-seq分析分别在第1、7和8号染色体上鉴定出3个粒重数量性状位点（QTL），即qGW1（35 - 40 Mb）、qGW7（10 - 18 Mb）和qGW8（2 - 5 Mb），且均为新发现的位点。此外，通过在F、F和BCF群体中的常规QTL定位对qGW8进行了验证，发现其分别解释了17.88%、16.70%和15.00%的表型变异，表明其是粒重的一个主效QTL。基于先前的报道，预测了qGW8 QTL中的两个候选基因，即LOC_Os08g01490（细胞色素P450）和LOC_Os08g01680（含WD结构域、G - 贝塔重复结构域的蛋白），通过电子分析发现它们在籽粒发育不同阶段的生殖器官中高表达。在此，我们证明了QTL-seq是揭示控制复杂性状新QTL的快速方法之一。本研究中鉴定出的候选基因无疑加深了我们对粒重机制和遗传的理解。这些候选基因经补充研究确认后可用于提高产量。
