Department of Life Science, Hallym University, Chuncheon 24252, Republic of Korea.
Multidisciplinary Genome Institute, Hallym University, Chuncheon 24252, Republic of Korea.
Int J Mol Sci. 2023 May 8;24(9):8439. doi: 10.3390/ijms24098439.
Drought is a harmful abiotic stress that threatens the growth, development, and yield of rice plants. To cope with drought stress, plants have evolved their diverse and sophisticated stress-tolerance mechanisms by regulating gene expression. Previous genome-wide studies have revealed many rice drought stress-responsive genes that are involved in various forms of metabolism, hormone biosynthesis, and signaling pathways, and transcriptional regulation. However, little is known about the regulation of drought-responsive genes during rehydration after dehydration. In this study, we examined the dynamic gene expression patterns in rice seedling shoots during dehydration and rehydration using RNA-seq analysis. To investigate the transcriptome-wide rice gene expression patterns during dehydration and rehydration, RNA-seq libraries were sequenced and analyzed to identify differentially expressed genes (DEGs). DEGs were classified into five clusters based on their gene expression patterns. The clusters included drought-responsive DEGs that were either rapidly or slowly recovered to control levels by rehydration treatment. Representative DEGs were selected and validated using qRT-PCR. In addition, we performed a detailed analysis of DEGs involved in nitrogen metabolism, phytohormone signaling, and transcriptional regulation. In this study, we revealed that drought-responsive genes were dynamically regulated during rehydration. Moreover, our data showed the potential role of nitrogen metabolism and jasmonic acid signaling during the drought stress response. The transcriptome data in this study could be a useful resource for understanding drought stress responses in rice and provide a valuable gene list for developing drought-resistant crop plants.
干旱是一种有害的非生物胁迫,威胁着水稻植株的生长、发育和产量。为了应对干旱胁迫,植物通过调节基因表达,进化出了多样化和复杂的耐胁迫机制。之前的全基因组研究已经揭示了许多与水稻干旱胁迫反应相关的基因,这些基因参与了各种形式的代谢、激素生物合成和信号通路以及转录调控。然而,对于干旱胁迫后复水过程中干旱胁迫响应基因的调控机制知之甚少。在这项研究中,我们使用 RNA-seq 分析研究了水稻幼苗在脱水和复水过程中 Shoot 中的动态基因表达模式。为了研究脱水和复水过程中水稻全基因组基因表达模式,我们对 RNA-seq 文库进行了测序和分析,以鉴定差异表达基因 (DEGs)。根据基因表达模式将 DEGs 分为五个簇。这些簇包括干旱响应 DEGs,它们通过复水处理迅速或缓慢地恢复到对照水平。使用 qRT-PCR 选择和验证了代表性的 DEGs。此外,我们还对参与氮代谢、植物激素信号转导和转录调控的 DEGs 进行了详细分析。在这项研究中,我们揭示了干旱响应基因在复水过程中是动态调控的。此外,我们的数据表明氮代谢和茉莉酸信号在干旱胁迫反应中可能发挥重要作用。本研究中的转录组数据可为理解水稻干旱胁迫反应提供有用的资源,并为培育抗旱作物植物提供有价值的基因列表。