Shotgun Proteomics as a Powerful Tool for the Study of the Proteomes of Plants, Their Pathogens, and Plant-Pathogen Interactions.
mass spectrometry
plant–pathogen interaction
post-translational modification
shotgun proteomics
Journal
Proteomes
ISSN: 2227-7382
Titre abrégé: Proteomes
Pays: Switzerland
ID NLM: 101621966
Informations de publication
Date de publication:
19 Jan 2022
19 Jan 2022
Historique:
received:
20
12
2021
revised:
12
01
2022
accepted:
17
01
2022
entrez:
28
2
2022
pubmed:
1
3
2022
medline:
1
3
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35225985
pii: proteomes10010005
doi: 10.3390/proteomes10010005
pmc: PMC8883913
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Australian Research Council
ID : DP180103337
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