Evidence map›Paper›PMID 31811035›Full record

ArticleApplied and environmental microbiology2020

Yeast Viral Killer Toxin K1 Induces Specific Host Cell Adaptions via Intrinsic Selection Pressure.

Stefanie Gier, Martin Simon, Gilles Gasparoni, Salem Khalifa, Marcel H Schulz, Manfred J Schmitt, Frank Breinig

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. The evolutionary ecology of fungal killer phenotypes.Proceedings. Biological sciences · 2023
    Review
  3. Article
  4. Truth in wine yeast.Microbial biotechnology · 2022
    Review
  5. Adaptive Response ofJournal of fungi (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Specificity Determination inMicroorganisms · 2021
    Article
  8. Microorganisms · 2020
    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 2 institutions in 1 country.

Stefanie GierMolecular and Cell Biology, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.ORCID 0000-0002-2470-1237
Martin SimonMolecular Cell Dynamics, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.
Gilles GasparoniGenetics/Epigenetics Department, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.
Salem KhalifaCluster of Excellence for Multimodal Computing and Interaction, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.
Marcel H SchulzCluster of Excellence for Multimodal Computing and Interaction, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.
Manfred J SchmittMolecular and Cell Biology, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany.
Frank BreinigMolecular and Cell Biology, Saarland University and Max Planck Institute for Informatics, Saarbrücken, Germany fb@microbiol.uni-sb.de.ORCID 0000-0003-1557-4691
Max Planck Institute for Informatics · DEUniversity of Wuppertal · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The killer phenomenon in yeast (

Indexed as

Host Microbial InteractionsSelection, GeneticKiller Factors, YeastPhenotypeRNA VirusesSaccharomyces cerevisiaeK1 killer toxinKiller Factors, YeastK1killer toxinSaccharomyces cerevisiaetranscriptomeyeast viral toxin

Identifiers

PMID31811035
PMCPMC6997729
OpenAlexW2992580025

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.