Time-series transcriptome and metabolome profiling Uncovers WRKY6 and WRKY23 as critical regulators in tobacco response to Pseudomonas syringae infection

丁香假单胞菌 转录组 代谢组 生物 重编程 代谢物 仿形(计算机编程) 鞘脂 基因表达谱 遗传学 细胞生物学 代谢途径 代谢组学 氧化脂质 代谢物分析 致病性 计算生物学 次生代谢 拟南芥 调节器 基因表达调控 系统生物学 群体感应 转录因子 串扰 信号转导
作者
Xinhua Tian,peng lu,Zechao Qu,Huan Su,Qiao Wang,Jiemeng Tao,Qian Sun,Shuaibin Wang,Lijun Meng,Peijian Cao,YuanHu XUAN,Jingjing Jin
出处
期刊:Journal of Advanced Research [Elsevier BV]
被引量:4
标识
DOI:10.1016/j.jare.2026.01.036
摘要

INTRODUCTION: Pseudomonas syringae pv. tabaci, a Gram-negative bacterial pathogen, causes devastating tobacco wildfire disease with global economic impacts. While its pathogenicity is well documented, the dynamic defense mechanisms of tobacco against infection remain poorly understood. OBJECTIVE: This study aimed to decipher phased defense mechanisms of tobacco against P. syringae infection through multi-omics integration, with emphasis on elucidating spatiotemporal coordination between transcriptional reprogramming and metabolic remodeling, and functionally validating critical regulatory modules. METHODS: Time-series transcriptomic and metabolomic profiling was integrated to reconstruct dynamic response patterns. Stage-specific regulatory modules were explored via TO-GCN and WGCNA, and the roles of WRKY6 and WRKY23 in disease resistance were validated by generating transgenic lines. RESULTS: Early infection (12-24 hpi) prioritized stress signaling and hormone pathway activation (salicylic acid/jasmonate), transitioning to cellular homeostasis regulation at late stages (48-60 hpi). WRKY, ERF, and NAC families orchestrated stage-specific gene expression. Notably, WRKY6 and WRKY23 functioned as negative regulators, with their silencing leading to a reduction in lesion area by 42-58% and pathogen load by 3.2-4.5 fold. Metabolomic analysis revealed sustained activation of phenylpropanoid metabolism, specifically regulating L-phenylalanine homeostasis and biosynthesis of its defense derivative xanthosine. Additionally, core modules involved in sphingolipid metabolism, light responses, and hormone cross-talk were also identified. CONCLUSION: We demonstrate that WRKY-mediated transcriptional reprogramming coordinates phytohormone signaling, sphingolipid dynamics, and light responses to spatiotemporally regulate secondary metabolite production. The identified WRKY6 and WRKY23 regulatory module establishes a molecular framework for engineering disease resistance, and the proposed two-phase defense model (early signaling → late metabolic remodeling) advances understanding of plant-pathogen interactions and offers targets for precision breeding.
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