Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight at qTGW3.1 locus from Oryza nivara

IF 3.4 3区 生物学 Q1 PLANT SCIENCES Physiology and Molecular Biology of Plants Pub Date : 2024-07-13 DOI:10.1007/s12298-024-01483-0
Malathi Surapaneni, Divya Balakrishnan, Krishnamraju Addanki, Venkateswara Rao Yadavalli, Arun Prem Kumar, P. Prashanthi, R. M. Sundaram, Sarla Neelamraju
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Abstract

Grain weight (GW) is the most important stable trait that directly contributes to crop yield in case of cereals. A total of 105 backcross introgression lines (BC2F10 BILs) derived from Swarna/O. nivara IRGC81848 (NPS) and 90 BILs from Swarna/O. nivara IRGC81832 (NPK) were evaluated for thousand-grain weight (TGW) across four years (wet seasons 2014, 2015, 2016 and 2018) and chromosome segment substitution lines (CSSLs) were selected. From significant pair- wise mean comparison with Swarna, a total of 77 positively and 29 negatively significant NPS lines and 62 positively and 29 negatively significant NPK lines were identified. In all 4 years, 14 NPS lines and 9 NPK lines were positively significant and one-line NPS69 (IET22161) was negatively significant for TGW over Swarna consistently. NPS lines and NPK lines were genotyped using 111 and 140 polymorphic SSRs respectively. Quantitative trait locus (QTL) mapping using ICIM v4.2 software showed 13 QTLs for TGW in NPS. Three major effect QTLs qTGW2.1, qTGW8.1 and qTGW11.1 were identified in NPS for two or more years with PVE ranging from 8 to 14%. Likewise, 10 QTLs were identified in NPK and including two major effect QTL qTGW3.1 and qTGW12.1 with 6 to 32% PVE. In all QTLs, O. nivara alleles increased TGW. These consistent QTLs are very suitable for fine mapping and functional analysis of grain weight. Further in this study, CSSLs NPS1 (10-2S) and NPK61 (158 K) with significantly higher grain weight than the recurrent parent, Swarna cv. Oryza sativa were selected from each population and secondary F2 mapping populations were developed. Using Bulked Segregant QTL sequencing, a grain weight QTL, designated as qTGW3.1 was fine mapped from the cross between NPK61 and Swarna. This QTL explained 48% (logarithm of odds = 32.2) of the phenotypic variations and was fine mapped to a 31 kb interval using recombinant analysis. GRAS transcription factor gene (OS03go103400) involved in plant growth and development located at this genomic locus might be the candidate gene for qTGW3.1. The results of this study will help in further functional studies and improving the knowledge related to the molecular mechanism of grain weight in Oryza and lays a solid foundation for the breeding for high yield.

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种间二级CSSL群体的精细图谱揭示了黑旱稻qTGW3.1基因座上谷粒重量的关键调节因子
谷物的粒重(GW)是直接影响作物产量的最重要的稳定性状。对源自 Swarna/O. nivara IRGC81848(NPS)的 105 个回交引入系(BC2F10 BILs)和源自 Swarna/O. nivara IRGC81832(NPK)的 90 个 BILs 进行了四年(2014、2015、2016 和 2018 年雨季)的千粒重(TGW)评估,并筛选出染色体区段替代系(CSSLs)。通过与 Swarna 的显着配对平均比较,共鉴定出 77 个正显着 NPS 品系和 29 个负显着 NPK 品系,以及 62 个正显着 NPK 品系和 29 个负显着 NPK 品系。在所有 4 年中,有 14 个 NPS 品系和 9 个 NPK 品系具有正向显著性,有一个 NPS69(IET22161)品系与 Swarna 相比对 TGW 具有负向显著性。NPS 品系和 NPK 品系分别使用 111 个和 140 个多态 SSR 进行基因分型。使用 ICIM v4.2 软件绘制的数量性状基因座(QTL)图显示,NPS 中有 13 个 TGW QTL。在两年或两年以上的 NPS 中发现了三个主要效应 QTL qTGW2.1、qTGW8.1 和 qTGW11.1,其 PVE 为 8% 至 14%。同样,在 NPK 中也发现了 10 个 QTL,包括两个主要效应 QTL qTGW3.1 和 qTGW12.1,PVE 为 6% 至 32%。在所有 QTL 中,O. nivara 等位基因都增加了 TGW。这些一致的 QTLs 非常适合谷粒重量的精细图谱绘制和功能分析。此外,本研究还从每个群体中选出了粒重显著高于复交亲本 Swarna cv. Oryza sativa 的 CSSLs NPS1(10-2S)和 NPK61(158 K),并建立了次级 F2 绘图群体。通过大块分离 QTL 测序,从 NPK61 和 Swarna 的杂交中精细绘制出一个粒重 QTL,命名为 qTGW3.1。该 QTL 解释了表型变异的 48%(几率对数 = 32.2),并通过重组分析精细绘制到 31 kb 的区间。位于该基因组位点的参与植物生长发育的 GRAS 转录因子基因(OS03go103400)可能是 qTGW3.1 的候选基因。本研究的结果将有助于进一步开展功能研究,提高对稻米粒重分子机制的认识,为高产育种奠定坚实的基础。
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来源期刊
CiteScore
7.10
自引率
0.00%
发文量
126
期刊介绍: Founded in 1995, Physiology and Molecular Biology of Plants (PMBP) is a peer reviewed monthly journal co-published by Springer Nature. It contains research and review articles, short communications, commentaries, book reviews etc., in all areas of functional plant biology including, but not limited to plant physiology, biochemistry, molecular genetics, molecular pathology, biophysics, cell and molecular biology, genetics, genomics and bioinformatics. Its integrated and interdisciplinary approach reflects the global growth trajectories in functional plant biology, attracting authors/editors/reviewers from over 98 countries.
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