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功能蛋白质组学在研究植物-病原体相互作用中的进展。

Advances in functional proteomics to study plant-pathogen interactions.

机构信息

Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50014, USA.

Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50014, USA.

出版信息

Curr Opin Plant Biol. 2021 Oct;63:102061. doi: 10.1016/j.pbi.2021.102061. Epub 2021 Jun 5.

Abstract

Pathogen infection triggers complex signaling networks in plant cells that ultimately result in either susceptibility or resistance. We have made substantial progress in dissecting many of these signaling events, and it is becoming clear that changes in proteome composition and protein activity are major drivers of plant-microbe interactions. Here, we highlight different approaches to analyze the functional proteomes of hosts and pathogens and discuss how they have been used to further our understanding of plant disease. Global proteome profiling can quantify the dynamics of proteins, posttranslational modifications, and biological pathways that contribute to immune-related outcomes. In addition, emerging techniques such as enzyme activity-based profiling, proximity labeling, and kinase-substrate profiling are being used to dissect biochemical events that operate during infection. Finally, we discuss how these functional approaches can be integrated with other profiling data to gain a mechanistic, systems-level view of plant and pathogen signaling.

摘要

病原体感染会在植物细胞中引发复杂的信号网络,最终导致植物易感性或抗性。我们在解析许多这些信号事件方面取得了重大进展,很明显,蛋白质组组成和蛋白质活性的变化是植物-微生物相互作用的主要驱动因素。在这里,我们重点介绍了分析宿主和病原体功能蛋白质组的不同方法,并讨论了它们如何被用于深入了解植物疾病。全局蛋白质组谱分析可以定量分析与免疫相关结果相关的蛋白质、翻译后修饰和生物途径的动态变化。此外,新兴技术,如基于酶活性的谱分析、邻近标记和激酶-底物谱分析,正被用于解析感染过程中发生的生化事件。最后,我们讨论了如何将这些功能方法与其他谱分析数据相结合,以获得对植物和病原体信号的机制性、系统级的理解。

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