Nature Communications · 2018 · 140 citations · 56 references
Life SciencesBioinformaticsSystems BiologyHost-pathogen InteractionsNetwork BiologyProtein-protein InteractionsHost-microbe InteractionsHost-pathogen Interaction NetworksInteraction NetworksMolecular Interaction NetworksPlant-pathogen InteractionsProtein-protein Interaction NetworksHost Interaction NetworksHost Protein InteractionsHost-pathogen Protein InteractomesHost-pathogen Protein-protein InteractionsInteractomicsNetwork-based Interaction AnalysisPathogen-host Interaction NetworksProtein Complex Networks
Abstract In all organisms, major biological processes are controlled by complex protein–protein interactions networks (interactomes), yet their structural complexity presents major analytical challenges. Here, we integrate a compendium of over 4300 phenotypes with Arabidopsis interactome (AI-1 MAIN ). We show that nodes with high connectivity and betweenness are enriched and depleted in conditional and essential phenotypes, respectively. Such nodes are located in the innermost layers of AI-1 MAIN and are preferential targets of pathogen effectors. We extend these network-centric analyses to Cell Surface Interactome (CSI LRR ) and predict its 35 most influential nodes. To determine their biological relevance, we show that these proteins physically interact with pathogen effectors and modulate plant immunity. Overall, our findings contrast with centrality-lethality rule, discover fast information spreading nodes, and highlight the structural properties of pathogen targets in two different interactomes. Finally, this theoretical framework could possibly be applicable to other inter-species interactomes to reveal pathogen contact points.
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