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1.
Plant Cell ; 23(6): 2064-86, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21653195

ABSTRACT

The genome of the soybean pathogen Phytophthora sojae contains nearly 400 genes encoding candidate effector proteins carrying the host cell entry motif RXLR-dEER. Here, we report a broad survey of the transcription, variation, and functions of a large sample of the P. sojae candidate effectors. Forty-five (12%) effector genes showed high levels of polymorphism among P. sojae isolates and significant evidence for positive selection. Of 169 effectors tested, most could suppress programmed cell death triggered by BAX, effectors, and/or the PAMP INF1, while several triggered cell death themselves. Among the most strongly expressed effectors, one immediate-early class was highly expressed even prior to infection and was further induced 2- to 10-fold following infection. A second early class, including several that triggered cell death, was weakly expressed prior to infection but induced 20- to 120-fold during the first 12 h of infection. The most strongly expressed immediate-early effectors could suppress the cell death triggered by several early effectors, and most early effectors could suppress INF1-triggered cell death, suggesting the two classes of effectors may target different functional branches of the defense response. In support of this hypothesis, misexpression of key immediate-early and early effectors severely reduced the virulence of P. sojae transformants.


Subject(s)
Phytophthora/genetics , Phytophthora/metabolism , Phytophthora/pathogenicity , Transcription, Genetic , Agrobacterium tumefaciens/genetics , Agrobacterium tumefaciens/metabolism , Amino Acid Sequence , Animals , Cell Death/physiology , Gene Expression Regulation , Microarray Analysis , Molecular Sequence Data , Plant Proteins/genetics , Plant Proteins/metabolism , Polymorphism, Genetic , Sequence Alignment , Glycine max/genetics , Glycine max/immunology , Glycine max/microbiology , Nicotiana/genetics , Nicotiana/immunology , Nicotiana/microbiology , bcl-2-Associated X Protein/genetics , bcl-2-Associated X Protein/metabolism
2.
Mol Plant Microbe Interact ; 19(11): 1167-79, 2006 Nov.
Article in English | MEDLINE | ID: mdl-17073300

ABSTRACT

Pseudomonas syringae pv. tomato DC3000 is a model pathogen of tomato and Arabidopsis that uses a hypersensitive response and pathogenicity (Hrp) type III secretion system (T3SS) to deliver virulence effector proteins into host cells. Expression of the Hrp system and many effector genes is activated by the HrpL alternative sigma factor. Here, an open reading frame-specific whole-genome microarray was constructed for DC3000 and used to comprehensively identify genes that are differentially expressed in wild-type and deltahrpL strains. Among the genes whose differential regulation was statistically significant, 119 were upregulated and 76 were downregulated in the wild-type compared with the deltahrpL strain. Hierarchical clustering revealed a subset of eight genes that were upregulated particularly rapidly. Gibbs sampling of regions upstream of HrpL-activated operons revealed the Hrp promoter as the only identifiable regulatory motif and supported an iterative refinement involving real-time polymerase chain reaction testing of additional HrpL-activated genes and refinements in a hidden Markov model that can be used to predict Hrp promoters in P. syringae strains. This iterative bioinformatic-experimental approach to a comprehensive analysis of the HrpL regulon revealed a mix of genes controlled by HrpL, including those encoding most type III effectors, twin-arginine transport (TAT) substrates, other regulatory proteins, and proteins involved in the synthesis or metabolism of phytohormones, phytotoxins, and myo-inositol. This analysis provides an extensively verified, robust method for predicting Hrp promoters in P. syringae genomes, and it supports subsequent identification of effectors and other factors that likely are important to the host-specific virulence of P. syringae.


Subject(s)
Bacterial Proteins/genetics , DNA-Binding Proteins/genetics , Gene Expression Regulation, Bacterial , Pseudomonas syringae/genetics , Regulon , Sigma Factor/genetics , Computational Biology , Evolution, Molecular , Gene Expression Profiling , Solanum lycopersicum , Oligonucleotide Array Sequence Analysis , Open Reading Frames , Polymerase Chain Reaction , Promoter Regions, Genetic
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