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水稻白叶枯病菌致病性相关调控网络的解析

Elucidation of the Pathogenicity-Associated Regulatory Network in Xanthomonas oryzae pv. oryzae.

作者信息

Zheng Dehong, Wang Huihui, Zhong Hao, Ke Wenli, Hu Huifeng, Sun Ming, Ruan Lifang

机构信息

State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, People's Republic of China.

State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Agriculture, Guangxi University, Nanning, People's Republic of China.

出版信息

mSystems. 2021 Mar 9;6(2):e00789-20. doi: 10.1128/mSystems.00789-20.

DOI:10.1128/mSystems.00789-20
PMID:33688017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8546981/
Abstract

is a notorious plant pathogen causing serious diseases in hundreds of plant hosts. species are equipped with an array of signal transduction systems that regulate gene expression to survive in various harsh environments and successfully infect hosts. Although certain pathogenicity-associated regulators have been functionally characterized, signal transduction systems always function as a regulatory network which remains to be elucidated in This study used a systematic approach to characterize all identified pathogenicity-associated regulators in pv. oryzae (Xoo), including a transcriptional regulator with unknown function, and their interactive regulatory network. RNA sequencing was used in elucidating the patterns of the 10 pathogenicity-associated regulators identified. Results revealed that each pathogenicity-associated regulator has cross talk with others and all these regulators function as a regulatory network, with VemR and PXO_RS20790 being the master pathogenicity-associated regulators and HrpX being the final executant. Moreover, regulome analysis showed that numerous genes other than genes in pathogenicity islands are finely regulated within the regulatory network. Given that most of the pathogenicity-associated regulators are conserved in , our findings suggest a global network of gene regulation in this evolutionarily conserved pathogen. In conclusion, our study provides essential basic information about the regulatory network in Xoo, suggesting that this complicated regulatory network is one of the reasons for the robustness and fitness of spp. The host plant infection process of pathogenic bacteria is a coordinating cellular behavior, which requires dynamic regulation at several levels in response to variations in host plants or fluctuations in the external environment. As one of the most important genera of plant-pathogenic bacteria, has been studied as a model. Although certain pathogenicity-associated regulators have been functionally characterized, interactions among them remain to be elucidated. This study systematically characterized pathogenicity-associated regulators in Xoo and revealed that cross talk exists among pathogenicity-associated regulators and function as a regulatory network in which a hierarchy exists among the regulators. Our study elucidated the landscape of the pathogenicity-associated regulatory network in , promoting understanding of the infection process of pathogenic bacteria.

摘要

是一种臭名昭著的植物病原体,可在数百种植物宿主中引发严重疾病。该物种配备了一系列信号转导系统,这些系统通过调节基因表达以在各种恶劣环境中生存并成功感染宿主。尽管某些与致病性相关的调节因子已在功能上得到表征,但信号转导系统总是作为一个调节网络发挥作用,而这在[具体物种]中仍有待阐明。本研究采用系统方法来表征水稻白叶枯病菌(Xoo)中所有已鉴定的与致病性相关的调节因子,包括一个功能未知的转录调节因子,以及它们的相互作用调节网络。利用RNA测序来阐明所鉴定的10个与致病性相关的调节因子的模式。结果表明,每个与致病性相关的调节因子都与其他因子存在相互作用,并且所有这些调节因子作为一个调节网络发挥作用,其中VemR和PXO_RS20790是主要的与致病性相关的调节因子,而HrpX是最终执行者。此外,调控组分析表明,除了致病岛中的基因外,调控网络内的许多其他基因也受到精细调控。鉴于大多数与致病性相关的调节因子在[具体物种]中是保守的,我们的研究结果表明在这种进化保守的病原体中存在一个全局基因调控网络。总之,我们的研究提供了关于Xoo中调节网络的基本基础信息,表明这种复杂的调节网络是白叶枯病菌属稳健性和适应性的原因之一。病原菌对宿主植物的感染过程是一种协调的细胞行为,这需要在多个水平上进行动态调节以应对宿主植物的变化或外部环境的波动。作为植物病原菌中最重要的属之一,[具体属]已被作为一个模型进行研究。尽管某些与致病性相关的调节因子已在功能上得到表征,但它们之间的相互作用仍有待阐明。本研究系统地表征了Xoo中与致病性相关的调节因子,并揭示了与致病性相关的调节因子之间存在相互作用,并作为一个调节网络发挥作用,其中调节因子之间存在层级关系。我们的研究阐明了[具体物种]中与致病性相关的调节网络格局,促进了对病原菌感染过程的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c2/8546981/924b3cd2ca04/msystems.00789-20-f0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c2/8546981/0d715344f1eb/msystems.00789-20-f0002.jpg
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