Quantitative analysis of the tomato nuclear proteome during Phytophthora capsici infection unveils regulators of immunity

Andrew J. M. Howden, Remco Stam, Victor Martinez Heredia, Graham B. Motion, Kelly Hodge, Sara ten Have, Tiago M. Marques Monteiro Amaro, Edgar Huitema (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
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Abstract

Plant–pathogen interactions are complex associations driven by the interplay of host and microbe-encoded factors. With secreted pathogen proteins (effectors) and immune signalling components found in the plant nucleus, this compartment is a battleground where susceptibility is specified. We hypothesized that, by defining changes in the nuclear proteome during infection, we can pinpoint vital components required for immunity or susceptibility. We tested this hypothesis by documenting dynamic changes in the tomato (Solanum lycopersicum) nuclear proteome during infection by the oomycete pathogen Phytophthora capsici. We enriched nuclei from infected and noninfected tissues and quantitatively assessed changes in the nuclear proteome. We then tested the role of candidate regulators in immunity through functional assays. We demonstrated that the host nuclear proteome dynamically changes during P. capsici infection. We observed that known nuclear immunity factors were differentially expressed and, based on this observation, selected a set of candidate regulators that we successfully implicated in immunity to P. capsici. Our work exemplifies a powerful strategy to gain rapid insight into important nuclear processes that underpin complex crop traits such as resistance. We have identified a large set of candidate nuclear factors that may underpin immunity to pathogens in crops.
Original languageEnglish
Pages (from-to)309-322
Number of pages14
JournalNew Phytologist
Volume215
Issue number1
Early online date10 Apr 2017
DOIs
Publication statusPublished - Jul 2017

Keywords

  • immunity
  • nucleus
  • Phytophthora
  • plant-microbe interactions
  • quantitative proteomics
  • tomato

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