Jinbiao Ma, Lirong Wei, Keyi Huang, Dacheng Wang, Jiameng Gao, Xi Chen, Huimin Guo, Shangyu Gao, Min Zhang, Shujing Li, Chenjie Yu, Jing Zhao, Jingni Wu, Qin Gu, Sun Tae Kim, Ravi Gupta, Guosheng Xiong, Clive Lo, Yongfeng Liu, Yiming Wang
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引用次数: 0
Abstract
Rice false smut disease, caused by the fungal pathogen Ustilaginoidea virens, significantly restricts both the production and quality of rice grains. However, the molecular mechanism underlying rice resistance against U. virens remain largely elusive. Transcriptome analysis of rice panicles infected with U. virens revealing the crucial role of genes involved in sakuranetin biosynthesis in conferring resistance to the pathogen. In vitro assays demonstrated that sakuranetin was most effective at inhibiting mycelial growth, spore germination, and host infection by U. virens. The expression of OsNOMT, the key enzyme in sakuranetin biosynthesis, is directly regulated by the transcription factor OsWRKY67. Furthermore, OsMPK6, a mitogen-activated protein kinase, interacts with and phosphorylates OsWRKY67, thereby modulating sakuranetin biosynthesis and resistance to U. virens. Moreover, the exogenous application of synthetic sakuranetin significantly reduces U. virens infection. Our findings reveal that the OsMPK6-OsWRKY67-OsNOMT signaling cascade plays a pivotal role in rice resistance to U. virens by regulating sakuranetin biosynthesis.
期刊介绍:
New Phytologist is a leading publication that showcases exceptional and groundbreaking research in plant science and its practical applications. With a focus on five distinct sections - Physiology & Development, Environment, Interaction, Evolution, and Transformative Plant Biotechnology - the journal covers a wide array of topics ranging from cellular processes to the impact of global environmental changes. We encourage the use of interdisciplinary approaches, and our content is structured to reflect this. Our journal acknowledges the diverse techniques employed in plant science, including molecular and cell biology, functional genomics, modeling, and system-based approaches, across various subfields.