中国农业科学 ›› 2026, Vol. 59 ›› Issue (10): 2075-2087.doi: 10.3864/j.issn.0578-1752.2026.10.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆持绿QTL定位及全基因组选择

刘芝妤1,2(), 陈伊洁1,2, 于欢1,2, 申茂廷2, 邱丽娟4(), 王俊2,3()   

  1. 1 长江大学农学院, 湖北荆州 434025
    2 神农种业实验室, 郑州 450002
    3 河南省农业科学院作物分子育种研究院, 郑州 450002
    4 中国农业科学院作物科学研究所/农作物基因资源与基因改良国家重大科学工程/农业农村部作物基因资源与种质创制重点实验室, 北京 100081
  • 收稿日期:2025-10-15 接受日期:2025-12-02 出版日期:2026-05-16 发布日期:2026-05-20
  • 通信作者:
    王俊,Tel:15826595646;E-mail:
    邱丽娟,E-mail:
  • 联系方式: 刘芝妤,Tel:18635609316;E-mail:haas_liuzhiyu@163.com。
  • 基金资助:
    神农种业实验室一流课题项目(SN01-2024-01); 农业农村部重大农业科技项目(NK202308010302); 国家重点研发计划(2022YFE0203300)

QTL Mapping and Genomic Selection of Stay-Green in Soybean (Glycine max L.)

LIU ZhiYu1,2(), CHEN YiJie1,2, YU Huan1,2, SHEN MaoTing2, QIU LiJuan4(), WANG Jun2,3()   

  1. 1 College of Agriculture, Yangtze University, Jingzhou 434025, Hubei
    2 The Shennong Laboratory, Zhengzhou 450002
    3 Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences, Zhengzhou 450002
    4 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement, Ministry of Agriculture and Rural Affairs, Beijing 100081
  • Received:2025-10-15 Accepted:2025-12-02 Published:2026-05-16 Online:2026-05-20

摘要:

【目的】持绿(stay-green)能够延长大豆有效光合作用时间,增加干物质积累,对提高大豆产量具有重要意义。挖掘大豆持绿相关QTL,解析大豆持绿的分子机制,可为提高大豆产量提供理论依据和技术支持。【方法】通过对大豆巢式关联群体进行多环境表型鉴定,结合基因型进行全基因组关联分析,通过SNP变异分析、组织特异性表达分析、基因功能注释和单倍型分析,筛选候选基因,并对候选基因进行启动子顺式作用元件分析和蛋白结构预测分析。同时,构建并评价全基因组选择在大豆持绿性状的应用效果。【结果】共定位到6个显著QTL区间,分布于第3、4、5和16染色体。其中,qSG5-1(Chr.5:41600128..42273303,613.18 kb)在多环境中被重复定位,是大豆持绿调控新QTL。连锁不平衡分析发现,qSG5-1区间内存在2个显著关联区间,qSG5-1.1(Chr.5:41798499..41996276,197.78 kb)和qSG5-1.2(Chr.5:41996989..42273303,276.32 kb),分别包含29和37个基因。SNP变异分析发现53个基因区间内包含非同义突变、可变剪切、翻译提前终止或终止子丢失SNP,经组织特异性表达分析,其中8个基因在茎或叶中转录较为活跃。基因功能注释分析显示,Glyma.05G245200Glyma.05G247900分别参与蛋白质折叠、氧化代谢过程,可能与细胞周期与生长代谢调控以及衰老过程中营养物质再分配有关。2个基因主要单倍型表型间存在极显著差异且均包含非同义突变,Glyma.05G245200中非同义突变分别为C617T(A206V)、C44T(P15L),并引起Glyma.05G245200蛋白三级结构发生细微改变。Glyma.05G247900中非同义突变为A275G(D92G),而Glyma.05G247900蛋白三级结构无变化。顺式作用元件分析结果显示,2个基因启动子区域均存在光响应、脱落酸响应等元件,可能通过对光、激素信号调控共同影响大豆生长与衰老,进而调控大豆持绿,可能为大豆持绿相关的候选基因。持绿性状全基因组选择分析结果在不同标记集中的预测准确度为0.27—0.36。【结论】定位到1个与持绿相关的新QTL——qSG5-1。筛选出2个与大豆持绿相关候选基因,分别为Glyma.05G245200Glyma.05G247900

关键词: 大豆, 持绿, QTL定位, 候选基因, 全基因组选择

Abstract:

【Objective】The “stay-green” trait can prolong the effective photosynthesis duration in soybeans and increase dry matter accumulation, thereby holding significant potential for improving yield. Mining stay-green related QTL and elucidating their molecular mechanisms can provide a theoretical basis and technical support for enhancing soybean yield.【Method】A soybean nested association mapping population was evaluated for stay-green traits across multiple environments. Genome-wide association study was conducted using genotyping data. Candidate genes were screened via SNP variation, tissue-specific expression, and functional annotation analyses, haplotype, promoter cis-acting elements, and protein structure prediction analyses were performed to characterize the candidate genes. Additionally, the application effect of genomic selection for the stay-green trait was evaluated.【Result】Six significant QTL intervals were co-localized on chromosomes 3, 4, 5, and 16. Among these, qSG5-1 (Chr.5: 41600128..42273303, 613.18 kb) was repeatedly mapped across multiple environments and represents a novel QTL for stay-green regulation in soybean. Linkage disequilibrium analysis allocated two significantly associated regions within qSG5-1: qSG5-1.1 (Chr.5: 41798499..41996276, 197.78 kb) and qSG5-1.2 (Chr.5: 41996989..42273303, 276.32 kb), containing 29 and 37 genes, respectively. SNP variation analysis identified 53 genes containing variants that cause nonsynonymous mutations, alternative splicing, stopgain, or stoploss. Of these, eight genes were transcriptionally active in stems and leaves. Functional annotation suggested that Glyma.05G245200 and Glyma.05G247900 were involved in protein folding and oxidative metabolism, respectively, which highlights they might regulate cell cycle, growth metabolism, and nutrient remobilization during senescence. Besides, two major haplotypes of these genes exhibited highly significant phenotypic differences as Glyma.05G245200 harbored nonsynonymous mutations which changed C617T into A206V and C44T into P15L, and caused subtle alterations in its protein structure. Likewise, Glyma.05G247900 also contained a nonsynonymous mutation which changed A275G into D92G that did not alter its protein conformation. Analysis of cis-acting elements revealed that the presence of light and abscisic acid (ABA)-responsive elements in their promoters hints they might regulate soybean growth, senescence, and the stay-green trait by participating in light and hormonal signaling. These genes may serve as candidate genes for soybean stay-green and the prediction accuracy of genome-wide selection for stay-green across different marker sets ranged from 0.27 to 0.36.【Conclusion】This study identified a novel QTL, qSG5-1, and two candidate genes, Glyma.05G245200 and Glyma.05G247900, associated with the stay-green trait in soybean.

Key words: soybean, stay-green, QTL mapping, candidate genes, genomic selection