Li Hong, Zhou Yuan, Zhang Ziding
State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural UniversityBeijing, China.
Front Plant Sci. 2017 May 29;8:893. doi: 10.3389/fpls.2017.00893. eCollection 2017.
Many plant pathogens secrete virulence effectors into host cells to target important proteins in host cellular network. However, the dynamic interactions between effectors and host cellular network have not been fully understood. Here, an integrative network analysis was conducted by combining protein-protein interaction network, known targets of and effectors, and gene expression profiles in the immune response. In particular, we focused on the characteristic network topology of the effector targets and differentially expressed genes (DEGs). We found that effectors tended to manipulate key network positions with higher betweenness centrality. The effector targets, especially those that are common targets of an individual effector, tended to be clustered together in the network. Moreover, the distances between the effector targets and DEGs increased over time during infection. In line with this observation, pathogen-susceptible mutants tended to have more DEGs surrounding the effector targets compared with resistant mutants. Our results suggest a common plant-pathogen interaction pattern at the cellular network level, where pathogens employ potent local impact mode to interfere with key positions in the host network, and plant organizes an in-depth defense by sequentially activating genes distal to the effector targets.
许多植物病原体向宿主细胞分泌毒力效应蛋白,以靶向宿主细胞网络中的重要蛋白质。然而,效应蛋白与宿主细胞网络之间的动态相互作用尚未完全了解。在此,通过整合蛋白质-蛋白质相互作用网络、已知的效应蛋白靶点以及免疫反应中的基因表达谱,进行了综合网络分析。特别地,我们关注效应蛋白靶点和差异表达基因(DEG)的特征网络拓扑结构。我们发现效应蛋白倾向于操纵具有较高介数中心性的关键网络位置。效应蛋白靶点,尤其是那些作为单个效应蛋白共同靶点的靶点,倾向于在网络中聚集在一起。此外,在感染过程中,效应蛋白靶点与DEG之间的距离随时间增加。与这一观察结果一致,与抗性突变体相比,病原体敏感突变体在效应蛋白靶点周围往往有更多的DEG。我们的结果表明了细胞网络水平上常见的植物-病原体相互作用模式,即病原体采用强大的局部影响模式来干扰宿主网络中的关键位置,而植物通过依次激活效应蛋白靶点远端的基因来组织深度防御。