dc.contributor.author | Soanes, DM | |
dc.contributor.author | Alam, I | |
dc.contributor.author | Cornell, M | |
dc.contributor.author | Wong, HM | |
dc.contributor.author | Hedeler, C | |
dc.contributor.author | Paton, NW | |
dc.contributor.author | Rattray, M | |
dc.contributor.author | Hubbard, SJ | |
dc.contributor.author | Oliver, SG | |
dc.contributor.author | Talbot, NJ | |
dc.date.accessioned | 2018-07-30T08:57:38Z | |
dc.date.issued | 2008-06-04 | |
dc.description.abstract | Fungi and oomycetes are the causal agents of many of the most serious diseases of plants. Here we report a detailed comparative analysis of the genome sequences of thirty-six species of fungi and oomycetes, including seven plant pathogenic species, that aims to explore the common genetic features associated with plant disease-causing species. The predicted translational products of each genome have been clustered into groups of potential orthologues using Markov Chain Clustering and the data integrated into the e-Fungi object-oriented data warehouse (http://www.e-fungi.org.uk/). Analysis of the species distribution of members of these clusters has identified proteins that are specific to filamentous fungal species and a group of proteins found only in plant pathogens. By comparing the gene inventories of filamentous, ascomycetous phytopathogenic and free-living species of fungi, we have identified a set of gene families that appear to have expanded during the evolution of phytopathogens and may therefore serve important roles in plant disease. We have also characterised the predicted set of secreted proteins encoded by each genome and identified a set of protein families which are significantly over-represented in the secretomes of plant pathogenic fungi, including putative effector proteins that might perturb host cell biology during plant infection. The results demonstrate the potential of comparative genome analysis for exploring the evolution of eukaryotic microbial pathogenesis. | en_GB |
dc.description.sponsorship | The authors would like to acknowledge the financial support of the Biotechnology and Biological Sciences Research Council (BBSRC). The development of e-Fungi has been funded by the BBSRC Bioinformatics and e-Science programme II. | en_GB |
dc.identifier.citation | Vol. 3 (6), pp. e2300 - | en_GB |
dc.identifier.doi | 10.1371/journal.pone.0002300 | |
dc.identifier.uri | http://hdl.handle.net/10871/33577 | |
dc.language.iso | en | en_GB |
dc.publisher | Public Library of Science | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/18523684 | en_GB |
dc.rights | Copyright: © 2008 Soanes et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_GB |
dc.subject | Biological Evolution | en_GB |
dc.subject | Fungi | en_GB |
dc.subject | Genome, Fungal | en_GB |
dc.subject | Saccharomyces cerevisiae | en_GB |
dc.subject | Species Specificity | en_GB |
dc.title | Comparative genome analysis of filamentous fungi reveals gene family expansions associated with fungal pathogenesis. | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-07-30T08:57:38Z | |
exeter.place-of-publication | United States | en_GB |
dc.description | This is the final version of the article. Available from Public Library of Science via the DOI in this record. | en_GB |
dc.identifier.eissn | 1932-6203 | |
dc.identifier.journal | PLoS One | en_GB |