Evidence map›Paper›PMID 30510169›Full record

ArticleNature microbiology2019

Neofunctionalization of the secreted Tin2 effector in the fungal pathogen Ustilago maydis.

Shigeyuki Tanaka, Gabriel Schweizer, Nicole Rössel, Fumi Fukada, Marco Thines, Regine Kahmann

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
12.2field-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

31 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Protein Extraction Methods for Ustilago maydis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Rgs1 is a regulator of effector gene expression during plant infection by the rice blast fungusProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Review
  15. Action Mechanisms of Effectors in Plant-Pathogen Interaction.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Shigeyuki TanakaMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID http://orcid.org/0000-0002-3102-1440
Gabriel SchweizerMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Nicole RösselMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Fumi FukadaMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Marco ThinesDepartment of Biological Sciences, Institute of Ecology, Evolution and Diversity, Goethe University, Frankfurt am Main, Germany.
Regine KahmannMax Planck Institute for Terrestrial Microbiology, Marburg, Germany. kahmann@mpi-marburg.mpg.de.ORCID http://orcid.org/0000-0001-7779-7837
Max Planck Institute for Terrestrial Microbiology · DEGoethe University Frankfurt · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant-pathogenic fungi hijack their hosts by secreting effector proteins. Effectors serve to suppress plant immune responses and modulate the host metabolism to benefit the pathogen. Smut fungi are biotrophic pathogens that also parasitize important cereals, including maize

Indexed as

AnthocyaninsFlowersFungal ProteinsGene SilencingHost-Pathogen InteractionsMutationPlant DiseasesPlant LeavesPlant ProteinsProtein BindingProtein KinasesUstilaginalesUstilagoVirulenceVirulence FactorsZea maysAnthocyaninsFungal ProteinsPlant ProteinsProtein KinasesVirulence Factors

Identifiers

PMID30510169
OpenAlexW2901514908

What OpenQuestion holds

Textmetadata
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.