Genome-wide association study reveals the genetic architecture of drought tolerance in maize using yield-based resistance indices and transcriptomic evidence.

IF 4.3 2区 生物学 Q1 GENETICS & HEREDITY
Plant Genome Pub Date : 2026-06-01 DOI:10.1002/tpg2.70255
Haoyang Li, Xurong Hu, Pengyan Zhang, Yueying Zhao, Yinglu Song, Zheng Zhang, Huahu Bu, Jianzhong Chang
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Abstract

Drought is a major environmental factor limiting maize (Zea mays L.) production worldwide. Unraveling the genetic basis of drought tolerance and pinpointing key loci and candidate genes are fundamental to the molecular breeding of maize with enhanced drought resistance. In this research, 200 maize inbred lines were evaluated under two contrasting water conditions-water-stressed (WS) and well-watered-across two consecutive years (2022 and 2023). Grain yield and drought resistance index (DRI) at maturity were determined, with DRI serving as a yield-based index that provides a more comprehensive measure of drought tolerance. A genome-wide association study based on the FarmCPU model was conducted. A total of 126 significant single nucleotide polymorphisms were detected, including 43 associated with yield under WS conditions (phenotypic variance explained [PVE] = 4.64%-10.67%) and 55 related to DRI (PVE = 1.47%-10.67%). By combining two independent RNA-seq data collections, 43 core candidate genes were identified, 29 of which were functionally annotated. Gene Ontology enrichment and protein-protein interaction analyses demonstrated that these genes were primarily associated with biological processes related to metabolic regulation, signal transduction, and environmental stress responses. Notably, several transcription factors, including NAC35 (GRMZM5G813651), a MADS-box protein (GRMZM2G148693), and a C3HC4-type RING finger protein (GRMZM2G147319), have been previously implicated in drought response pathways. These findings provide new insights into the genetic architecture of drought tolerance in maize by using a mature-plant, yield-based DRI, which more directly reflects drought tolerance under field conditions.

利用基于产量的抗旱性指标和转录组学证据,全基因组关联研究揭示了玉米抗旱性的遗传结构。
干旱是世界范围内限制玉米生产的主要环境因素。揭示玉米抗旱性的遗传基础,准确定位玉米抗旱性的关键位点和候选基因,是玉米抗旱性增强分子育种的基础。本研究连续两年(2022年和2023年)对200个玉米自交系在两种不同的水分条件下进行了评价。测定了籽粒成熟时的产量和抗旱指数(DRI), DRI作为一个基于产量的指标,提供了更全面的耐旱性指标。基于FarmCPU模型进行了全基因组关联研究。共检测到126个显著单核苷酸多态性,其中43个与WS条件下产量相关(表型方差解释[PVE] = 4.64% ~ 10.67%), 55个与DRI相关(PVE = 1.47% ~ 10.67%)。通过结合两个独立的RNA-seq数据收集,鉴定出43个核心候选基因,其中29个被功能注释。基因本体富集和蛋白质-蛋白质相互作用分析表明,这些基因主要与代谢调节、信号转导和环境应激反应相关的生物过程有关。值得注意的是,一些转录因子,包括NAC35 (GRMZM5G813651), MADS-box蛋白(GRMZM2G148693)和c3hc4型无名指蛋白(GRMZM2G147319),先前已经涉及干旱响应途径。这些发现为利用成熟植株、产量为基础的DRI研究玉米耐旱性的遗传结构提供了新的见解,后者更直接地反映了田间条件下的耐旱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Plant Genome
Plant Genome PLANT SCIENCES-GENETICS & HEREDITY
CiteScore
6.00
自引率
4.80%
发文量
93
审稿时长
>12 weeks
期刊介绍: The Plant Genome publishes original research investigating all aspects of plant genomics. Technical breakthroughs reporting improvements in the efficiency and speed of acquiring and interpreting plant genomics data are welcome. The editorial board gives preference to novel reports that use innovative genomic applications that advance our understanding of plant biology that may have applications to crop improvement. The journal also publishes invited review articles and perspectives that offer insight and commentary on recent advances in genomics and their potential for agronomic improvement.
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