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Abstract

The interaction between plants and pathogenic microorganisms is a multifaceted process mediated by both plant- and pathogen-derived molecules, including proteins, metabolites, and lipids. Large-scale proteome analysis can quantify the dynamics of proteins, biological pathways, and posttranslational modifications (PTMs) involved in the plant–pathogen interaction. Mass spectrometry (MS)-based proteomics has become the preferred method for characterizing proteins at the proteome and sub-proteome (e.g., the phosphoproteome) levels. MS-based proteomics can reveal changes in the quantitative state of a proteome and provide a foundation for understanding the mechanisms involved in plant–pathogen interactions. This review is intended as a primer for biologists that may be unfamiliar with the diverse range of methodology for MS-based shotgun proteomics, with a focus on techniques that have been used to investigate plant–pathogen interactions. We provide a summary of the essential steps required for shotgun proteomic studies of plants, pathogens and plant–pathogen interactions, including methods for protein digestion, identification, separation, and quantification. Finally, we discuss how protein PTMs may directly participate in the interaction between a pathogen and its host plant.

Item Type:	Article
Authors/Creators:	Balotf, S and Wilson, RR and Tegg, RS and Nichols, DS and Wilson, CR
Keywords:	mass spectrometry, shotgun proteomics, plant-pathogen interaction, post-translational modification
Journal or Publication Title:	Proteomes
Publisher:	MDPI
ISSN:	2227-7382
DOI / ID Number:	https://doi.org/10.3390/proteomes10010005
Copyright Information:	Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/).
Related URLs:	Google Scholar: Wilson, RR UTAS Profile: Wilson, RR Google Scholar: Tegg, RS UTAS Profile: Tegg, RS Google Scholar: Nichols, DS UTAS Profile: Nichols, DS Google Scholar: Wilson, CR UTAS Profile: Wilson, CR
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