Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.

IF 4.4 1区 农林科学 Q1 AGRONOMY Theoretical and Applied Genetics Pub Date : 2025-01-09 DOI:10.1007/s00122-024-04811-w
Arif Mehmood Shakir, Miaomiao Geng, Jiahao Tian, Ruihui Wang
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Abstract

Wheat (Triticum aestivum L.) is one of the most important cereal crops, with its grain serving as a predominant staple food source on a global scale. However, there are many biotic and abiotic stresses challenging the stability of wheat production. Among the abiotic stresses, drought is recognized as a significant stress and poses a substantial threat to food production and quality throughout the world. Raising drought tolerance of wheat varieties through genetic regulation is therefore considered as one of the most effective ways to combat the challenges caused by drought stress. Meta-QTL analysis has demonstrated its effectiveness in identifying consensus QTL regions in wheat drought resistance in numerous instances. In this study, we present a comprehensive meta-analysis aimed at unraveling the drought tolerance genetic basis associated with agronomic traits in bread wheat. Extracting data from 34 previously published studies, we aggregated a corpus of 1291 Quantitative Trait Loci (QTL) pertinent to wheat drought tolerance. Then, the translation of the consensus genetic map yielded a comprehensive compendium of 49 distinct MQTLs, each associated with diverse agronomic traits. Prominently featured among the MQTLs were MQTLs 1.1, 1.7, 1.8 (1D), 4.1 (4A), 4.6 (4D), 5.2 (5B), 6.6 (6B), and 7.2 (7B), distinguished as pivotal MQTLs offering significant potential for application in marker-assisted breeding endeavors. Altogether, a total of 66 putative candidate genes (CGs)-related drought tolerance were identified. This work illustrates a translational research approach in transferring information from published mapping studies to genomic regions hosting major QTLs governing key agronomical traits in wheat.

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小麦抗旱性遗传基础的qtl剖析:meta分析。
小麦(Triticum aestivum L.)是最重要的谷类作物之一,其籽粒在全球范围内是主要的主食来源。然而,有许多生物和非生物胁迫挑战小麦生产的稳定性。在非生物胁迫中,干旱被认为是一种重大胁迫,对全世界的粮食生产和质量构成重大威胁。因此,通过遗传调控提高小麦品种的耐旱性被认为是应对干旱胁迫挑战的最有效途径之一。Meta-QTL分析在确定小麦抗旱性一致QTL区域方面的有效性在许多实例中得到了证明。在这项研究中,我们提出了一项全面的荟萃分析,旨在揭示与面包小麦农艺性状相关的耐旱性遗传基础。从34篇已发表的研究中提取数据,我们汇总了1291个与小麦抗旱性相关的数量性状位点(QTL)。然后,对共识遗传图谱的翻译产生了49个不同的mqtl的综合摘要,每个mqtl都与不同的农艺性状相关。在这些mqtl中,最突出的是mqtl 1.1、1.7、1.8 (1D)、4.1 (4A)、4.6 (4D)、5.2 (5B)、6.6 (6B)和7.2 (7B),它们被认为是关键的mqtl,在标记辅助育种中具有重要的应用潜力。总共鉴定了66个与抗旱相关的候选基因(CGs)。这项工作说明了一种转化研究方法,将信息从已发表的制图研究转移到拥有控制小麦关键农艺性状的主要qtl的基因组区域。
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
CiteScore
9.60
自引率
7.40%
发文量
241
审稿时长
2.3 months
期刊介绍: Theoretical and Applied Genetics publishes original research and review articles in all key areas of modern plant genetics, plant genomics and plant biotechnology. All work needs to have a clear genetic component and significant impact on plant breeding. Theoretical considerations are only accepted in combination with new experimental data and/or if they indicate a relevant application in plant genetics or breeding. Emphasizing the practical, the journal focuses on research into leading crop plants and articles presenting innovative approaches.
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