Evidence map›Paper›PMID 30146948›Full record

ReviewVirulence2018

Identification of Plasmodiophora brassicae effectors - A challenging goal.

Edel Pérez-López, Matthew Waldner, Musharaf Hossain, Anthony J Kusalik, Yangdou Wei, Peta C Bonham-Smith, Christopher D Todd

Open access · goldAbstract readReview
In one paragraph

Review in Virulence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comprehensive review ofFrontiers in microbiology · 2025
    Review
  6. Review
  7. Article
  8. What Can We Learn from -Omics Approaches to Understand Clubroot Disease?International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
  11. Molecular Pathotyping ofPathogens (Basel, Switzerland) · 2021
    Review
  12. Endomembrane-TargetingFrontiers in microbiology · 2021
    Article
  13. Candidate Effectors ofFrontiers in microbiology · 2021
    Article
  14. Article
  15. Article
  16. Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020
    Review
  17. Article
  18. Review
  19. Article
  20. 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 1 institution in 1 country.

Edel Pérez-Lópeza Department of Biology , University of Saskatchewan , Saskatoon , Canada.
Matthew Waldnerb Department of Computer Science , University of Saskatchewan , Saskatoon , Canada.
Musharaf Hossaina Department of Biology , University of Saskatchewan , Saskatoon , Canada.
Anthony J Kusalikb Department of Computer Science , University of Saskatchewan , Saskatoon , Canada.
Yangdou Weia Department of Biology , University of Saskatchewan , Saskatoon , Canada.
Peta C Bonham-Smitha Department of Biology , University of Saskatchewan , Saskatoon , Canada.
Christopher D Todda Department of Biology , University of Saskatchewan , Saskatoon , Canada.ORCID 0000-0003-1393-5211
University of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clubroot is an economically important disease affecting Brassica plants worldwide. Plasmodiophora brassicae is the protist pathogen associated with the disease, and its soil-borne obligate parasitic nature has impeded studies related to its biology and the mechanisms involved in its infection of the plant host. The identification of effector proteins is key to understanding how the pathogen manipulates the plant's immune response and the genes involved in resistance. After more than 140 years studying clubroot and P. brassicae, very little is known about the effectors playing key roles in the infection process and subsequent disease progression. Here we analyze the information available for identified effectors and suggest several features of effector genes that can be used in the search for others. Based on the information presented in this review, we propose a comprehensive bioinformatics pipeline for effector identification and provide a list of the bioinformatics tools available for such.

Indexed as

BrassicaComputational BiologyDisease ResistanceHost-Parasite InteractionsPlant DiseasesPlasmodiophoridaTranscription FactorsTranscriptomeTranscription FactorsbioinformaticsBrassicaClubrooteffectorsP. brassicaepipeline

Identifiers

PMID30146948
PMCPMC6177251
OpenAlexW2889144233

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.