Identification of marker genes for drought stress tolerance in wheat (Triticum aestivum) through carbon isotope composition

IF 11.9
Agriculture Communications Pub Date : 2026-09-01 Epub Date: 2026-08-11 DOI:10.1016/j.agrcom.2026.100158
Sepideh Jafarian, Manuel Geyer, Franz Buegger, Barbro Winkler, Georg Gerl, Klaus F.X. Mayer, Nadia Kamal, Jörg-Peter Schnitzler, Lorenz Hartl, Manuel Spannagl
{"title":"Identification of marker genes for drought stress tolerance in wheat (Triticum aestivum) through carbon isotope composition","authors":"Sepideh Jafarian,&nbsp;Manuel Geyer,&nbsp;Franz Buegger,&nbsp;Barbro Winkler,&nbsp;Georg Gerl,&nbsp;Klaus F.X. Mayer,&nbsp;Nadia Kamal,&nbsp;Jörg-Peter Schnitzler,&nbsp;Lorenz Hartl,&nbsp;Manuel Spannagl","doi":"10.1016/j.agrcom.2026.100158","DOIUrl":null,"url":null,"abstract":"<div><div>Improving drought adaptation in wheat requires robust physiological traits that can be genetically dissected and translated into breeding tools. Carbon isotope composition (δ<sup>13</sup>C) is a stable proxy for intrinsic water-use efficiency (iWUE) and enables the identification of genetic factors underlying drought-stress responses. In this study, δ<sup>13</sup>C was measured in the Bavarian MAGIC Wheat (BMW) population, and quantitative trait locus (QTL) mapping at the drought-prone Morgenrot field site identified six significant loci on chromosomes 1D, 2B, 4B, 4D, 6A, and 6B. Based on phenotypic extremes at this site, eight genetically diverse lines with contrasting δ<sup>13</sup>C/iWUE values (four high δ<sup>13</sup>C and four low δ<sup>13</sup>C) were selected for detailed characterization. These extreme lines were evaluated under controlled greenhouse conditions using high-throughput phenotyping under both well-watered and drought-stress treatments.</div><div>Transcriptomic analyses revealed pronounced drought-induced expression changes, with enrichment of genes involved in abscisic acid signaling, stress perception, stomatal regulation, and energy metabolism. To identify robust molecular targets, QTL mapping results were integrated with differential gene expression (DGE) and weighted gene co-expression network analysis in a multi-layer framework. This approach prioritized 18 high-confidence candidate genes located mainly on chromosomes 1D, 4B, 4D, 6A, and 6B. These genes are embedded in regulatory networks dominated by transcription factors such as WRKY and NAC. Collectively, this study provides genetically anchored candidate genes for iWUE and drought adaptation, offering valuable resources for marker-assisted selection in wheat breeding.</div></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"4 3","pages":"Article 100158"},"PeriodicalIF":11.9000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture Communications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949798126000384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/11 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Improving drought adaptation in wheat requires robust physiological traits that can be genetically dissected and translated into breeding tools. Carbon isotope composition (δ13C) is a stable proxy for intrinsic water-use efficiency (iWUE) and enables the identification of genetic factors underlying drought-stress responses. In this study, δ13C was measured in the Bavarian MAGIC Wheat (BMW) population, and quantitative trait locus (QTL) mapping at the drought-prone Morgenrot field site identified six significant loci on chromosomes 1D, 2B, 4B, 4D, 6A, and 6B. Based on phenotypic extremes at this site, eight genetically diverse lines with contrasting δ13C/iWUE values (four high δ13C and four low δ13C) were selected for detailed characterization. These extreme lines were evaluated under controlled greenhouse conditions using high-throughput phenotyping under both well-watered and drought-stress treatments.
Transcriptomic analyses revealed pronounced drought-induced expression changes, with enrichment of genes involved in abscisic acid signaling, stress perception, stomatal regulation, and energy metabolism. To identify robust molecular targets, QTL mapping results were integrated with differential gene expression (DGE) and weighted gene co-expression network analysis in a multi-layer framework. This approach prioritized 18 high-confidence candidate genes located mainly on chromosomes 1D, 4B, 4D, 6A, and 6B. These genes are embedded in regulatory networks dominated by transcription factors such as WRKY and NAC. Collectively, this study provides genetically anchored candidate genes for iWUE and drought adaptation, offering valuable resources for marker-assisted selection in wheat breeding.
利用碳同位素组成鉴定小麦(Triticum aestivum)抗旱标志基因
提高小麦的干旱适应能力需要强大的生理性状,这些性状可以在遗传上解剖并转化为育种工具。碳同位素组成(δ13C)是表征植物内在水分利用效率(iWUE)的稳定指标,有助于识别干旱胁迫响应的遗传因素。本研究在巴伐利亚MAGIC小麦(BMW)群体中测定了δ13C,并在干旱易发的Morgenrot田间进行了数量性状位点(QTL)定位,在1D、2B、4B、4D、6A和6B染色体上鉴定了6个显著位点。基于该位点的表型极端,选择了8个具有不同δ13C/iWUE值(4个高δ13C和4个低δ13C)的遗传多样性系进行详细表征。这些极端品系在受控温室条件下进行了高通量表型分析,并在水分充足和干旱胁迫处理下进行了评价。转录组学分析显示,干旱诱导的表达发生了显著变化,涉及脱落酸信号、胁迫感知、气孔调节和能量代谢的基因富集。在多层框架中,将QTL定位结果与差异基因表达(DGE)和加权基因共表达网络分析相结合,以确定稳健的分子靶标。该方法优选了18个高置信度的候选基因,这些基因主要位于染色体1D、4B、4D、6A和6B上。这些基因嵌入到由转录因子如WRKY和NAC主导的调控网络中。总的来说,本研究为小麦水分利用效率和干旱适应提供了遗传锚定的候选基因,为小麦育种中的标记辅助选择提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书