Evidence map›Paper›PMID 32469865›Full record

ArticlePloS one2020

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

Sarah Jeffress, Kiruba Arun-Chinnappa, Ben Stodart, Niloofar Vaghefi, Yu Pei Tan, Gavin Ash

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Whole-Genome Sequencing and Genome Annotation of PathogenicJournal of fungi (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Whole Genome Sequence ofFrontiers in microbiology · 2021
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sarah JeffressCentre for Crop Health, Institute for Life Sciences and the Environment, Research and Innovation Division, University of Southern Queensland, Toowoomba, QLD, Australia.
Kiruba Arun-ChinnappaCentre for Crop Health, Institute for Life Sciences and the Environment, Research and Innovation Division, University of Southern Queensland, Toowoomba, QLD, Australia.
Ben StodartGraham Centre for Agricultural Innovation, (Charles Sturt University and NSW Department of Primary Industries), School of Agricultural and Wine Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia.ORCID 0000-0002-3184-7998
Niloofar VaghefiCentre for Crop Health, Institute for Life Sciences and the Environment, Research and Innovation Division, University of Southern Queensland, Toowoomba, QLD, Australia.
Yu Pei TanDepartment of Agriculture and Fisheries, Queensland Government, Brisbane, QLD, Australia.
Gavin AshCentre for Crop Health, Institute for Life Sciences and the Environment, Research and Innovation Division, University of Southern Queensland, Toowoomba, QLD, Australia.ORCID 0000-0002-6703-8295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Molecular Sequence AnnotationAscomycotaCell WallCitrusData MiningGenome, FungalMultigene FamilySecondary Metabolism

Identifiers

PMID32469865
PMCPMC7259788

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.