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    Genomic and Proteomic Dissection of the Ubiquitous Plant Pathogen, Armillaria mellea: Toward a New Infection Model System

    Collins, Cassandra and Keane, Thomas M. and Turner, Daniel J. and O'Keefe, Grainne and Fitzpatrick, David A. and Doyle, Sean (2013) Genomic and Proteomic Dissection of the Ubiquitous Plant Pathogen, Armillaria mellea: Toward a New Infection Model System. Journal of Proteome Research, 12. pp. 2552-2570. ISSN 1535-3893

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    Armillaria mellea is a major plant pathogen. Yet, no large-scale “-omics” data are available to enable new studies, and limited experimental models are available to investigate basidiomycete pathogenicity. Here we reveal that the A. mellea genome comprises 58.35 Mb, contains 14473 gene models, of average length 1575 bp (4.72 introns/gene). Tandem mass spectrometry identified 921 mycelial (n = 629 unique) and secreted (n = 183 unique) proteins. Almost 100 mycelial proteins were either species-specific or previously unidentified at the protein level. A number of proteins (n = 111) was detected in both mycelia and culture supernatant extracts. Signal sequence occurrence was 4-fold greater for secreted (50.2%) compared to mycelial (12%) proteins. Analyses revealed a rich reservoir of carbohydrate degrading enzymes, laccases, and lignin peroxidases in the A. mellea proteome, reminiscent of both basidiomycete and ascomycete glycodegradative arsenals. We discovered that A. mellea exhibits a specific killing effect against Candida albicans during coculture. Proteomic investigation of this interaction revealed the unique expression of defensive and potentially offensive A. mellea proteins (n = 30). Overall, our data reveal new insights into the origin of basidiomycete virulence and we present a new model system for further studies aimed at deciphering fungal pathogenic mechanisms.

    Item Type: Article
    Additional Information: The definitive published version of this article is available at DOI:
    Keywords: Armillaria mellea; basidiomycete proteomics; basidiomycete genomics; Next Generation Sequencing; fungal proteomics; glycosidases; Candida;
    Academic Unit: Faculty of Science and Engineering > Biology
    Item ID: 6887
    Identification Number:
    Depositing User: David Fitzpatrick
    Date Deposited: 20 Jan 2016 11:44
    Journal or Publication Title: Journal of Proteome Research
    Publisher: American Chemical Research
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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