Genome mining of the citrus pathogen Elsinoe fawcettii; prediction and prioritisation of candidate effectors, cell wall degrading enzymes and secondary metabolite gene clusters
Contribution to Journal
ERA Journal ID | 39745 |
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Authors | Jeffress, Sarah (Author), Arun-Chinnappa, Kiruba (Author), Stodart, Ben (Author), Vaghefi, Niloofar (Author), Tan, Yu Pei (Author), Ash, Gavin (Author), Jeffress, Sarah, Arun-Chinnappa, Kiruba, Stodart, Ben, Vaghefi, Niloofar, Tan, Yu Pei and Ash, Gavin |
Journal Title | PLoS One |
Journal Citation | 15 (5) |
Article Number | e0227396 |
Number of Pages | 33 |
Year | 29 May 2020 |
Publisher | Public Library of Science (PLoS) |
Place of Publication | United States |
ISSN | 1932-6203 |
Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pone.0227396 |
Web Address (URL) | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227396 |
Abstract | Elsinoe¨ fawcettii, a necrotrophic fungal pathogen, causes citrus scab on numerous citrus varieties around the world. Known pathotypes of E. fawcettii are based on host range; additionally, cryptic pathotypes have been reported and more novel pathotypes are thought to exist. E. fawcettii produces elsinochrome, a non-host selective toxin which contributes to virulence. However, the mechanisms involved in potential pathogen-host interactions occurring prior to the production of elsinochrome are unknown, yet the host-specificity observed among pathotypes suggests a reliance upon such mechanisms. In this study we have generated a whole genome sequencing project for E. fawcettii, producing an annotated draft assembly 26.01 Mb in size, with 10,080 predicted gene models and low (0.37%) coverage of transposable elements. A small proportion of the assembly showed evidence of AT-rich regions, potentially indicating genomic regions with increased plasticity. Using a variety of computational tools, we mined the E. fawcettii genome for potential virulence genes as candidates for future investigation. A total of 1,280 secreted proteins and 276 candidate effectors were predicted and compared to those of other necrotrophic (Botrytis cinerea, Parastagonospora nodorum, Pyrenophora tritici-repentis, Sclerotinia sclerotiorum and Zymoseptoria tritici), hemibiotrophic (Leptosphaeria maculans, Magnaporthe oryzae, |
Keywords | Leptosphaeria-maculans genome; phytotoxic nep1-like proteins; induced point mutation; scab diseases; elsinochrome phytotoxin; molecular analysis; avirulence gene; pathological characterization; simmondsia-chinensis; functional-analysis |
ANZSRC Field of Research 2020 | 310509. Genomics |
310805. Plant pathology | |
Byline Affiliations | Centre for Crop Health |
Charles Sturt University | |
Department of Agriculture and Fisheries, Queensland | |
Institution of Origin | University of Southern Queensland |
Title | Genome mining of the citrus pathogen Elsinoe fawcettii; prediction and prioritisation of candidate effectors, cell wall degrading enzymes and secondary metabolite gene clusters |
https://research.usq.edu.au/item/q5w03/genome-mining-of-the-citrus-pathogen-elsinoe-fawcettii-prediction-and-prioritisation-of-candidate-effectors-cell-wall-degrading-enzymes-and-secondary-metabolite-gene-clusters
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2020 - Jeffress et al - journal.pone.0227396.pdf | ||
License: CC BY 4.0 | ||
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