Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
Key Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Plant Physiol Biochem. 2022 Jan 1;170:23-35. doi: 10.1016/j.plaphy.2021.11.026. Epub 2021 Nov 17.
Drought is one of the major abiotic stresses that threaten wheat production worldwide, especially in the Mongolian Plateau and adjacent regions. This study aims to find local wheat varieties with high yields and drought resistance at various developmental stages based on agronomic traits and drought resistance indices analysis and explore the underlining molecular mechanisms by transcriptome analysis. Our results revealed that drought stress started at the seedling stage has a greater impact on crop yields. Four types of drought responses were found among the tested varieties. Type 1 and type 2 show low tolerance to drought stress despite high or low yield in control condition, type 3 exhibits high yield under control condition but dropped significantly after drought, and type 4 displays relatively high and stable yields under control and drought conditions. Transcriptome analysis performed with the representative varieties of the four types revealed GO terms and KEGG pathways enriched among drought-triggered differential expressed genes (DEGs). A network containing 18 modules was constructed using weighted gene co-expression analysis (WGCNA). Ten modules were significantly correlated to yield by module-trait correlation, and 3 modules showed Darkhan 144 specific gene expression patterns. C2H2 zinc finger factor-recognized motifs were identified from the promoters of genes in these modules. qRT-PCR confirmed several key DEGs with specific expression patterns and physiological measurements validated the relatively low oxidative damage and high antioxidant capacity in the drought tolerant variety Dankhan 144. These findings provide an important basis for local agriculture and breeding of drought-tolerant high yield wheat varieties.
干旱是全球范围内威胁小麦生产的主要非生物胁迫之一,特别是在蒙古高原及其周边地区。本研究旨在通过农艺性状和抗旱性指数分析,找到不同发育阶段具有高产和抗旱性的当地小麦品种,并通过转录组分析探讨其潜在的分子机制。研究结果表明,幼苗期的干旱胁迫对作物产量的影响更大。在测试的品种中发现了四种类型的干旱响应。尽管在对照条件下产量高或低,但 1 型和 2 型对干旱胁迫的耐受性较低;3 型在对照条件下表现出高产,但干旱后产量明显下降;4 型在对照和干旱条件下表现出相对较高且稳定的产量。对四种类型的代表性品种进行转录组分析,揭示了干旱触发的差异表达基因(DEGs)中富集的 GO 术语和 KEGG 途径。使用加权基因共表达分析(WGCNA)构建了包含 18 个模块的网络。10 个模块与产量显著相关,通过模块-性状相关性分析,其中 3 个模块显示出 Darkhan 144 特异的基因表达模式。从这些模块中基因的启动子中鉴定出了 C2H2 锌指因子识别基序。qRT-PCR 验证了几个具有特异表达模式的关键 DEGs,并通过生理测量验证了 Dankhan 144 等抗旱性品种的氧化损伤相对较低和抗氧化能力较高。这些发现为当地农业和抗旱高产小麦品种的选育提供了重要基础。