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Inference of a Geminivirus−Host Protein−Protein Interaction Network through Affinity Purification and Mass Spectrometry Analysis

机译:通过亲和纯化和质谱分析推断双子病毒-宿主蛋白-蛋白质相互作用网络

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摘要

Viruses reshape the intracellular environment of their hosts, largely through protein-protein interactions, to co-opt processes necessary for viral infection and interference with antiviral defences. Due to genome size constraints and the concomitant limited coding capacity of viruses, viral proteins are generally multifunctional and have evolved to target diverse host proteins. Inference of the virus-host interaction network can be instrumental for understanding how viruses manipulate the host machinery and how re-wiring of specific pathways can contribute to disease. Here, we use affinity purification and mass spectrometry analysis (AP-MS) to define the global landscape of interactions between the geminivirus Tomato yellow leaf curl virus (TYLCV) and its host Nicotiana benthamiana. For this purpose, we expressed tagged versions of each of TYLCV-encoded proteins (C1/Rep, C2/TrAP, C3/REn, C4, V2, and CP) in planta in the presence of the virus. Using a quantitative scoring system, 728 high-confidence plant interactors were identified, and the interaction network of each viral protein was inferred; TYLCV-targeted proteins are more connected than average, and connect with other proteins through shorter paths, which would allow the virus to exert large effects with few interactions. Comparative analyses of divergence patterns between N. benthamiana and potato, a non-host Solanaceae, showed evolutionary constraints on TYLCV-targeted proteins. Our results provide a comprehensive overview of plant proteins targeted by TYLCV during the viral infection, which may contribute to uncovering the underlying molecular mechanisms of plant viral diseases and provide novel potential targets for anti-viral strategies and crop engineering. Interestingly, some of the TYLCV-interacting proteins appear to be convergently targeted by other pathogen effectors, which suggests a central role for these proteins in plant-pathogen interactions, and pinpoints them as potential targets to engineer broad-spectrum resistance to biotic stresses.
机译:病毒主要通过蛋白质-蛋白质相互作用来重塑宿主的细胞内环境,共同选择病毒感染和抗病毒防御所需的过程。由于基因组大小的限制以及随之而来的有限的病毒编码能力,病毒蛋白通常是多功能的,并且已经进化为靶向多种宿主蛋白​​。病毒-宿​​主相互作用网络的推断可能有助于理解病毒如何操纵宿主机器以及特定途径的重新布线如何导致疾病。在这里,我们使用亲和力纯化和质谱分析(AP-MS)来定义双子叶病毒番茄黄叶卷曲病毒(TYLCV)和其宿主烟草本氏烟草之间的相互作用的全球格局。为此,我们在病毒存在的情况下在植物中表达了每个TYLCV编码蛋白(C1 / Rep,C2 / TrAP,C3 / REn,C4,V2和CP)的标记版本。使用定量评分系统,鉴定了728个高可信度植物相互作用因子,并推断了每种病毒蛋白的相互作用网络。靶向TYLCV的蛋白质比普通蛋白质具有更多的连接性,并通过较短的路径与其他蛋白质连接,这将使病毒以很少的相互作用发挥巨大作用。比较本氏烟草和马铃薯(非寄主茄科)之间的发散模式,表明对TYLCV靶向蛋白的进化限制。我们的结果提供了在病毒感染过程中TYLCV靶向的植物蛋白的全面概述,这可能有助于揭示植物病毒性疾病的潜在分子机制,并为抗病毒策略和作物工程提供新的潜在靶标。有趣的是,一些与TYLCV相互作用的蛋白质似乎已被其他病原体效应子共同靶向,这表明这些蛋白质在植物与病原体的相互作用中起着核心作用,并指出它们是工程化的广谱抗生物胁迫的潜在靶点。

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