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Quantitative proteomics of tomato defense against Pseudomonas syringae infection

Authors

  • Jennifer Parker,

    1. Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, USA
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  • Jin Koh,

    1. Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA
    2. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
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  • Mi-Jeong Yoo,

    1. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
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  • Ning Zhu,

    1. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
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  • Michelle Feole,

    1. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
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  • Sarah Yi,

    1. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
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  • Sixue Chen

    Corresponding author
    1. Plant Molecular and Cellular Biology, University of Florida, Gainesville, FL, USA
    2. Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA
    3. Department of Biology, Genetics Institute, University of Florida, Gainesville, FL, USA
    • Correspondence: Professor Sixue Chen, Department of Biology, University of Florida, 2033 Mowry Road, Room 435, Gainesville, FL 32610, USA

      E-mail: schen@ufl.edu

      Fax: +1 352-273 8024

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  • Colour Online: See the article online to view Fig. 1 in colour.

Abstract

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.

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