Literature DB >> 32469865

Genome mining of the citrus pathogen Elsinoë fawcettii; prediction and prioritisation of candidate effectors, cell wall degrading enzymes and secondary metabolite gene clusters.

Sarah Jeffress1, Kiruba Arun-Chinnappa1, Ben Stodart2, Niloofar Vaghefi1, Yu Pei Tan3, Gavin Ash1,2.   

Abstract

Elsinoë 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, Rhynchosporium commune and Verticillium dahliae) and biotrophic (Ustilago maydis) plant pathogens. Genomic and proteomic features of known fungal effectors were analysed and used to guide the prioritisation of 120 candidate effectors of E. fawcettii. Additionally, 378 carbohydrate-active enzymes were predicted and analysed for likely secretion and sequence similarity with known virulence genes. Furthermore, secondary metabolite prediction indicated nine additional genes potentially involved in the elsinochrome biosynthesis gene cluster than previously described. A further 21 secondary metabolite clusters were predicted, some with similarity to known toxin producing gene clusters. The candidate virulence genes predicted in this study provide a comprehensive resource for future experimental investigation into the pathogenesis of E. fawcettii.

Entities:  

Year:  2020        PMID: 32469865     DOI: 10.1371/journal.pone.0227396

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  3 in total

1.  Secondary Metabolism Gene Clusters Exhibit Increasingly Dynamic and Differential Expression during Asexual Growth, Conidiation, and Sexual Development in Neurospora crassa.

Authors:  Zheng Wang; Francesc Lopez-Giraldez; Jason Slot; Oded Yarden; Frances Trail; Jeffrey P Townsend
Journal:  mSystems       Date:  2022-05-31       Impact factor: 7.324

2.  Genomic analysis of Elsinoë arachidis reveals its potential pathogenic mechanism and the biosynthesis pathway of elsinochrome toxin.

Authors:  Wenli Jiao; Mengxue Xu; Rujun Zhou; Yiwei Fu; Zibo Li; Caiyun Xue
Journal:  PLoS One       Date:  2021-12-16       Impact factor: 3.240

3.  Antifungal effects of volatile organic compounds produced by Trichoderma koningiopsis T2 against Verticillium dahliae.

Authors:  Wei-Liang Kong; Hang Ni; Wei-Yu Wang; Xiao-Qin Wu
Journal:  Front Microbiol       Date:  2022-09-21       Impact factor: 6.064

  3 in total

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