Suppr超能文献

全基因组关联分析与基因-基因相互作用研究揭示了影响水稻籽粒垩白的主要效应位点间新的上位性靶点。

Genome-wide association coupled gene to gene interaction studies unveil novel epistatic targets among major effect loci impacting rice grain chalkiness.

作者信息

Misra Gopal, Badoni Saurabh, Parween Sabiha, Singh Rakesh Kumar, Leung Hei, Ladejobi OluFunmilayo, Mott Richard, Sreenivasulu Nese

机构信息

International Rice Research Institute, Los Baños, Philippines.

University College London, London, UK.

出版信息

Plant Biotechnol J. 2021 May;19(5):910-925. doi: 10.1111/pbi.13516. Epub 2020 Dec 9.

Abstract

Rice varieties whose quality is graded as excellent have a lower percent grain chalkiness (PGC) of two per cent and below with higher whole grain yields upon milling, leading to higher economic returns for farmers. We have conducted a genome-wide association study (GWAS) using a combined population panel of indica and japonica rice varieties, and identified a total of 746 single nucleotide polymorphisms (SNPs) that were strongly associated with the chalk phenotype, covered 78 Quantitative Trait Loci (QTL) regions. Among them, 21 were high-value QTLs, as they explained at least 10 % of the phenotypic variance for PGC. A combined epistasis and GWAS was applied to dissect the genetics of the complex chalkiness trait, and its regulatory cascades were validated using gene regulatory networks. Promising novel epistatic interactions were found between the loci of chromosomes 6 (PGC6.1) and 7 (PGC7.8) that contributed to lower PGC. Based on haplotype mining only a few modern rice varieties confounded with a lower chalkiness, and they possess several PGC QTLs. The importance of PGC6.1 was validated through multi-parent advanced generation intercrosses and several low-chalk lines possessing superior haplotypes were identified. The results of this investigation have deciphered the underlying genetic networks that can reduce PGC to 2%, and will thus support future breeding programs to improve the grain quality of elite genetic material with high-yielding potentials.

摘要

品质等级为优质的水稻品种,其粒垩白率(PGC)较低,在2%及以下,碾磨后的整精米产量较高,从而为农民带来更高的经济回报。我们利用籼稻和粳稻品种的联合群体面板进行了全基因组关联研究(GWAS),共鉴定出746个与垩白表型强烈相关的单核苷酸多态性(SNP),覆盖78个数量性状位点(QTL)区域。其中,21个是高价值QTL,因为它们解释了至少10%的PGC表型变异。采用联合上位性分析和GWAS来剖析复杂垩白性状的遗传机制,并利用基因调控网络验证其调控级联。在6号染色体(PGC6.1)和7号染色体(PGC7.8)的位点之间发现了有前景的新上位性相互作用,这有助于降低PGC。基于单倍型挖掘,只有少数现代水稻品种具有较低的垩白度,并且它们拥有多个PGC QTL。通过多亲本高世代杂交验证了PGC6.1的重要性,并鉴定出了几个具有优良单倍型的低垩白品系。本研究结果破译了可将PGC降低到2%的潜在遗传网络,从而将支持未来的育种计划,以提高具有高产潜力的优良遗传材料的籽粒品质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8386/11386101/5404eeb09eac/PBI-19-910-g003.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验