Shakir Arif Mehmood, Geng Miaomiao, Tian Jiahao, Wang Ruihui
College of Agronomy, Hebei Agricultural University, Baoding, 071000, Hebei, China.
State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agriculture University, Baoding, 071000, Hebei, China.
Theor Appl Genet. 2025 Jan 9;138(1):25. doi: 10.1007/s00122-024-04811-w.
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.
小麦（Triticum aestivum L.）是最重要的谷类作物之一，其籽粒是全球主要的主食来源。然而，有许多生物和非生物胁迫挑战着小麦生产的稳定性。在非生物胁迫中，干旱被认为是一种严重的胁迫，对全球粮食生产和质量构成重大威胁。因此，通过基因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方法之一。元QTL分析已在许多情况下证明其在鉴定小麦抗旱性共有QTL区域方面的有效性。在本研究中，我们进行了一项全面的元分析，旨在揭示与面包小麦农艺性状相关的耐旱遗传基础。从34项先前发表的研究中提取数据，我们汇总了1291个与小麦耐旱性相关的数量性状位点（QTL）。然后，对共有遗传图谱的翻译产生了一份包含49个不同MQTL的综合纲要，每个MQTL都与不同的农艺性状相关。在MQTL中，突出的有MQTL 1.1、1.7、1.8（1D）、4.1（4A）、4.6（4D）、5.2（5B）、6.6（6B）和7.2（7B），被视为关键MQTL，在标记辅助育种工作中具有显著的应用潜力。总共鉴定出66个与耐旱性相关的推定候选基因（CG）。这项工作展示了一种转化研究方法，即将已发表的定位研究中的信息转移到控制小麦关键农艺性状的主要QTL所在的基因组区域。
