Literature DB >> 12840044

EST mining and functional expression assays identify extracellular effector proteins from the plant pathogen Phytophthora.

Trudy A Torto1, Shuang Li, Allison Styer, Edgar Huitema, Antonino Testa, Neil A R Gow, Pieter van West, Sophien Kamoun.   

Abstract

Plant pathogenic microbes have the remarkable ability to manipulate biochemical, physiological, and morphological processes in their host plants. These manipulations are achieved through a diverse array of effector molecules that can either promote infection or trigger defense responses. We describe a general functional genomics approach aimed at identifying extracellular effector proteins from plant pathogenic microorganisms by combining data mining of expressed sequence tags (ESTs) with virus-based high-throughput functional expression assays in plants. PexFinder, an algorithm for automated identification of extracellular proteins from EST data sets, was developed and applied to 2147 ESTs from the oomycete plant pathogen Phytophthora infestans. The program identified 261 ESTs (12.2%) corresponding to a set of 142 nonredundant Pex (Phytophthora extracellular protein) cDNAs. Of these, 78 (55%) Pex cDNAs were novel with no significant matches in public databases. Validation of PexFinder was performed using proteomic analysis of secreted protein of P. infestans. To identify which of the Pex cDNAs encode effector proteins that manipulate plant processes, high-throughput functional expression assays in plants were performed on 63 of the identified cDNAs using an Agrobacterium tumefaciens binary vector carrying the potato virus X (PVX) genome. This led to the discovery of two novel necrosis-inducing cDNAs, crn1 and crn2, encoding extracellular proteins that belong to a large and complex protein family in Phytophthora. Further characterization of the crn genes indicated that they are both expressed in P. infestans during colonization of the host plant tomato and that crn2 induced defense-response genes in tomato. Our results indicate that combining data mining using PexFinder with PVX-based functional assays can facilitate the discovery of novel pathogen effector proteins. In principle, this strategy can be applied to a variety of eukaryotic plant pathogens, including oomycetes, fungi, and nematodes.

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Year:  2003        PMID: 12840044      PMCID: PMC403741          DOI: 10.1101/gr.910003

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  45 in total

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Review 2.  Nonhost resistance to Phytophthora: novel prospects for a classical problem.

Authors:  S Kamoun
Journal:  Curr Opin Plant Biol       Date:  2001-08       Impact factor: 7.834

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Authors:  M Hahn; K Mendgen
Journal:  Curr Opin Plant Biol       Date:  2001-08       Impact factor: 7.834

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5.  The phytophthora genome initiative database: informatics and analysis for distributed pathogenomic research.

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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8.  Initial assessment of gene diversity for the oomycete pathogen Phytophthora infestans based on expressed sequences.

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  115 in total

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Review 10.  Pathogen virulence of Phytophthora infestans: from gene to functional genomics.

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