利用重组自交系群体对绿豆（Vigna radiata L.）产量构成性状进行QTL定位。

QTL mapping for yield contributing traits in mungbean (Vigna radiata L.) using a RIL population.

作者信息

Reddappa Shashidhar B, Aski Muralidhar S, Mishra Gyan P, Gupta Soma, Shivaprasad Kumbarahally M, Sinha Subodh K, Kumar Ranjeet R, Roy Anirban, Mishra Dwijesh C, Das Shouvik, Pawar Prashant Anupama Mohan, Nair Ramakrishnan Madhavan, Dikshit Harsh K

机构信息

Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012, India.

National Institute for Plant Biotechnology, New Delhi, 110012, India.

出版信息

Sci Rep. 2025 Jul 1;15(1):20795. doi: 10.1038/s41598-025-99687-1.

DOI:10.1038/s41598-025-99687-1

PMID:40596720

Abstract

Mungbean (Vigna radiata L.) is one of the most important yet genomically under-researched leguminous food crop. Its productivity is low due to the complex nature of yield realization, which is regulated by various yield-contributing traits. Thus, understanding the genetic basis of these traits is essential for developing an ideal genotype with high yield. In this study, mapping of quantitative trait loci (QTLs) was conducted for six yield-contributing traits using a recombinant inbred line (RIL) population (166 number), developed by crossing two contrasting genotypes (Pusa Baisakhi × PMR-1). The genotyping-by-sequencing (GBS) of RILs was used to construct the genetic map using 1347 single nucleotide polymorphism (SNPs). The QTL mapping using multiple interval mapping (MIM) and composite interval mapping (CIM) has identified 17 yield contributing QTLs of which, 4 for number of leaves/plant (NL), 3 for plant height (PH), 2 for SPAD value, 3 for 100 seed weight (SW), 2 for number of pods/plant (NP), and 3 for total grain yield (GY). The Logarithm of Odds (LOD) scores for these QTLs ranged from ~ 3-9, while phenotypic variance explained (PVE) ranged from ~ 9-24%. Several candidate genes with mRNA expression and protein-altering mutations were identified as having a direct role in key processes like growth (LOC106756212, LOC106776425, LOC106777991), flowering (LOC106777903, LOC106768860), metabolism (LOC106757749, LOC106758189), etc. The candidate genes are validated through digital gene expression analysis. In addition, Insertion-Deletion (InDel) markers were also developed for the identified QTLs which hold broad applications for the improvement of yield-related traits in mungbean.

摘要

绿豆（Vigna radiata L.）是最重要但基因组研究较少的豆科粮食作物之一。由于产量实现的复杂性，其生产力较低，产量受多种产量构成性状调控。因此，了解这些性状的遗传基础对于培育高产理想基因型至关重要。在本研究中，利用重组自交系（RIL）群体（166个株系）对六个产量构成性状进行数量性状位点（QTL）定位，该群体由两个对比基因型（Pusa Baisakhi×PMR - 1）杂交产生。利用RILs的简化基因组测序（GBS）技术，通过1347个单核苷酸多态性（SNP）构建遗传图谱。采用多区间作图（MIM）和复合区间作图（CIM）进行QTL定位，共鉴定出17个产量相关QTL，其中，每株叶片数（NL）相关4个，株高（PH）相关3个，叶绿素含量（SPAD值）相关2个，百粒重（SW）相关3个，每株荚数（NP）相关2个，总籽粒产量（GY）相关3个。这些QTL的对数似然比（LOD）分数范围约为3 - 9，表型变异解释率（PVE）范围约为9 - 24%。鉴定出几个在生长（LOC106756212、LOC106776425、LOC106777991）、开花（LOC106777903、LOC106768860）、代谢（LOC106757749、LOC106758189）等关键过程中起直接作用的候选基因，其具有mRNA表达和蛋白质改变突变。通过数字基因表达分析对候选基因进行验证。此外，还为鉴定出的QTL开发了插入缺失（InDel）标记，这些标记在绿豆产量相关性状改良中具有广泛应用。