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茄科劳尔氏菌复合体毒力基因及调控网络最新研究进展
引用本文:袁婷,李金豪,刘吉平.茄科劳尔氏菌复合体毒力基因及调控网络最新研究进展[J].微生物学通报,2023,50(5):2227-2248.
作者姓名:袁婷  李金豪  刘吉平
作者单位:华南农业大学动物科学学院 亚太地区蚕桑培训中心, 广东 广州 510642
基金项目:国家现代农业产业技术体系(CARS-18-ZJ0304)
摘    要:植物青枯病是一种能造成巨大经济损失的土传病害,其病原茄科劳尔氏菌复合体(Ralstonia solanacearum species complex,RSSC)能通过复杂的毒力调控网络将毒力因子合成并分泌到植物细胞胞质间或细胞质内,从而引起寄主植物发病。本文详细分析了RSSC主要的毒力基因及调控网络,包括其运动性(鞭毛,菌毛)、细菌分泌系统(T2SS、T3SS以及T6SS)、毒力调控系统(Phc、Prh、Vsr、Peh、Sol)、毒力因子(CWDEs、T3Es、EPS)、群体信号因子AHL及植物激素,总结了近年来最新的研究进展并绘制了相关网络调控模式图,以期为进一步研究RSSC的致病机理及防控研究提供参考。

关 键 词:青枯菌  调控系统  运动性  细菌分泌系统  群体感应
收稿时间:2022/8/10 0:00:00

Latest research progress in virulence genes and regulatory networks of Ralstonia solanacearum species complex
YUAN Ting,LI Jinhao,LIU Jiping.Latest research progress in virulence genes and regulatory networks of Ralstonia solanacearum species complex[J].Microbiology,2023,50(5):2227-2248.
Authors:YUAN Ting  LI Jinhao  LIU Jiping
Institution:College of Animal Science, Regional Sericulture Training Center for Asia-Pacific, South China Agricultural University, Guangzhou 510642, Guangdong, China
Abstract:Plant bacterial wilt is a soil-borne disease that can cause huge economic losses. The pathogen, Ralstonia solanacearum species complex (RSSC), can synthesize virulence factors through a complex virulence regulatory network and secrete them into the intercellular matrix or cytoplasm of plant cells, thereby causing disease and withering of host plants. This paper elaborates on the main virulence genes and regulatory networks of RSSC, including the motility (flagella and fimbriae), bacterial secretion systems (T2SS, T3SS, and T6SS), virulence regulatory systems (Phc, Prh, Vsr, Peh, and Sol), virulence factors (CWDEs, T3Es, and EPS), the quorum sensing signal AHL, and phytohormones. We summarized the latest research progress and depicted the relevant regulation network, aiming to provide a reference for further research on the pathogenic mechanism of plant bacterial wilt.
Keywords:Ralstonia solanacearum  regulatory system  motility  bacterial secretion system  quorum sensing
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