Fang Pingping, Sun Ting, Pandey Arun Kumar, Jiang Libo, Wu Xinyang, Hu Yannan, Cheng Shiping, Li Mingxuan, Xu Pei
College of Life Sciences, China Jiliang University, Xueyuan Street No.258, Hangzhou 310018, China.
School of Life Sciences and Medicine, Shandong University of Technology, Xincun West Road No.255, Zibo 255000, China.
Hortic Res. 2022 Dec 29;10(3):uhac287. doi: 10.1093/hr/uhac287. eCollection 2023 Mar.
Vegetable soybean and cowpea are related warm-season legumes showing contrasting leaf water use behaviors under similar root drought stresses, whose mechanisms are not well understood. Here we conducted an integrative phenomic-transcriptomic study on the two crops grown in a feedback irrigation system that enabled precise control of soil water contents. Continuous transpiration rate monitoring demonstrated that cowpea used water more conservatively under earlier soil drought stages, but tended to maintain higher transpiration under prolonged drought. Interestingly, we observed a soybean-specific transpiration rate increase accompanied by phase shift under moderate soil drought. Time-series transcriptomic analysis suggested a dehydration avoidance mechanism of cowpea at early soil drought stage, in which the and genes were suggested to be involved. Multifactorial gene clustering analysis revealed different responsiveness of genes to drought, time of day and their interactions between the two crops, which involved species-dependent regulation of the circadian clock genes. Gene network analysis identified two co-expression modules each associated with transpiration rate in cowpea and soybean, including a pair of negatively correlated modules between species. Module hub genes, including the ABA-degrading gene and the trehalose-phosphatase/synthase gene were identified. Inter-modular network analysis revealed putative co-players of the hub genes. Transgenic analyses verified the role of in regulating transpiration rate under osmotic stresses. These findings propose that species-specific transcriptomic reprograming in leaves of the two crops suffering similar soil drought was not only a result of the different drought resistance level, but a cause of it.
毛豆和豇豆是相关的暖季豆类作物,在相似的根系干旱胁迫下表现出截然不同的叶片水分利用行为,但其机制尚不清楚。在此,我们对在反馈灌溉系统中种植的这两种作物进行了综合表型组学-转录组学研究,该系统能够精确控制土壤含水量。连续蒸腾速率监测表明,豇豆在土壤干旱早期阶段水分利用更为保守,但在长期干旱下倾向于保持较高的蒸腾速率。有趣的是,我们观察到在中度土壤干旱下,大豆的蒸腾速率会增加并伴有相位变化。时间序列转录组分析表明,豇豆在土壤干旱早期阶段存在脱水避免机制,其中 和 基因被认为参与其中。多因素基因聚类分析揭示了两种作物中基因对干旱、一天中的时间及其相互作用的不同反应,这涉及昼夜节律基因的物种依赖性调控。基因网络分析确定了两个共表达模块,每个模块分别与豇豆和大豆的蒸腾速率相关,包括一对物种间负相关的模块。确定了模块中心基因,包括脱落酸降解基因 和海藻糖磷酸酶/合酶基因 。模块间网络分析揭示了中心基因的假定协同作用因子。转基因分析验证了 在渗透胁迫下调节蒸腾速率的作用。这些发现表明,遭受相似土壤干旱的两种作物叶片中物种特异性的转录组重编程不仅是不同抗旱水平的结果,也是其原因。