Evidence map›Paper›PMID 30184068›Full record

ArticleGenome biology and evolution2018

Pan-Parastagonospora Comparative Genome Analysis-Effector Prediction and Genome Evolution.

Robert A Syme, Kar-Chun Tan, Kasia Rybak, Timothy L Friesen, Bruce A McDonald, Richard P Oliver, James K Hane

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
12.5field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Comparative Genomics of ThreeFrontiers in microbiology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Single individual structural variant detection uncovers widespread hemizygosity in molluscs.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  14. Article
  15. Fungal evolution: cellular, genomic and metabolic complexity.Biological reviews of the Cambridge Philosophical Society · 2020
    Article
  16. Review
  17. 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

7 authors at 3 institutions in 3 countries.

Robert A SymeCentre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Bentley, Western Australia, Australia.
Kar-Chun TanCentre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Bentley, Western Australia, Australia.
Kasia RybakCentre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Bentley, Western Australia, Australia.
Timothy L FriesenCereal Crops Research Unit, USDA-ARS Red River Valley Agricultural Research Center, Fargo, North Dakota.
Bruce A McDonaldPlant Pathology Group, Institute of Integrative Biology, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
Richard P OliverCentre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Bentley, Western Australia, Australia.
James K HaneCentre for Crop & Disease Management, School of Molecular & Life Sciences, Curtin University, Bentley, Western Australia, Australia.
Curtin University · AUEdward T. Schafer Agricultural Research Center · USETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a fungal pan-genome study involving Parastagonospora spp., including 21 isolates of the wheat (Triticum aestivum) pathogen Parastagonospora nodorum, 10 of the grass-infecting Parastagonospora avenae, and 2 of a closely related undefined sister species. We observed substantial variation in the distribution of polymorphisms across the pan-genome, including repeat-induced point mutations, diversifying selection and gene gains and losses. We also discovered chromosome-scale inter and intraspecific presence/absence variation of some sequences, suggesting the occurrence of one or more accessory chromosomes or regions that may play a role in host-pathogen interactions. The presence of known pathogenicity effector loci SnToxA, SnTox1, and SnTox3 varied substantially among isolates. Three P. nodorum isolates lacked functional versions for all three loci, whereas three P. avenae isolates carried one or both of the SnTox1 and SnTox3 genes, indicating previously unrecognized potential for discovering additional effectors in the P. nodorum-wheat pathosystem. We utilized the pan-genomic comparative analysis to improve the prediction of pathogenicity effector candidates, recovering the three confirmed effectors among our top-ranked candidates. We propose applying this pan-genomic approach to identify the effector repertoire involved in other host-microbe interactions involving necrotrophic pathogens in the Pezizomycotina.

Indexed as

Evolution, MolecularGenome, FungalAscomycotaFungal ProteinsGenetic LociGenomicsHost-Pathogen InteractionsPhylogenyPlant DiseasesPoint MutationPolymorphism, GeneticQuantitative Trait LociTriticumFungal Proteins

Identifiers

PMID30184068
PMCPMC6152946
OpenAlexW2889600913

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.