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Network biology discovers pathogen contact points in host protein-protein interactomes

机译:网络生物学发现宿主蛋白-蛋白相互作用组中的病原体接触点

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摘要

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-1MAIN). 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-1MAIN and are preferential targets of pathogen effectors. We extend these network-centric analyses to Cell Surface Interactome (CSILRR) 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.
机译:在所有生物中,主要的生物过程均受复杂的蛋白质-蛋白质相互作用网络(相互作用组)控制,但其结构复杂性却带来了重大的分析挑战。在这里,我们整合了超过4300个表型的拟南芥相互作用组(AI-1MAIN)。我们表明,具有高连通性和中间性的节点分别在条件表型和基本表型中富集和耗尽。这些节点位于AI-1MAIN的最内层,是病原体效应物的优先靶标。我们将这些以网络为中心的分析扩展到细胞表面相互作用组(CSI LRR ),并预测其35个最具影响力的节点。为了确定它们的生物学相关性,我们表明这些蛋白质与病原体效应物发生物理相互作用,并调节植物的免疫力。总体而言,我们的发现与集中度-致死率规则形成鲜明对比,发现了快速的信息传播节点,并突出了两个不同相互作用组中病原体靶标的结构特性。最后,该理论框架可能适用于其他物种间相互作用组以揭示病原体接触点。

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