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Quantitative proteomics of tomato defense against Pseudomonas syringae infection
Author(s) -
Parker Jennifer,
Koh Jin,
Yoo MiJeong,
Zhu Ning,
Feole Michelle,
Yi Sarah,
Chen Sixue
Publication year - 2013
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201200402
Subject(s) - pseudomonas syringae , proteomics , biology , pathogen , quantitative proteomics , microbiology and biotechnology , microarray , dna microarray , computational biology , genetics , gene , gene expression
Genetic and microarray analyses have provided useful information in the area of plant and pathogen interactions. Pseudomonas syringae pv. tomato DC3000 ( Pst ) causes bacterial speck disease in tomato. Previous studies have shown that changes in response to pathogen infection at transcript level are variable at different time points. This study provides information not only on proteomic changes between a resistant and a susceptible genotype, but also information on changes between an early and a late time point. Using the iTRAQ quantitative proteomics approach, we have identified 2369 proteins in tomato leaves, and 477 of them were determined to be responsive to Pst inoculation. Unique and differential proteins after each comparison were further analyzed to provide information about protein changes and the potential functions they play in the pathogen response. This information is applicable not only to tomato proteomics, but also adds to the repertoire of proteins now available for crop proteomic analysis and how they change in response to pathogen infection.