Evidence map›Paper›PMID 36800387›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Discovery of a rapidly evolving yeast defense factor,

Ilya Andreev, Kamilla M E Laidlaw, Simone M Giovanetti, Guillaume Urtecho, Daniel Shriner, Joshua S Bloom, Chris MacDonald, Meru J Sadhu

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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
1.2field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. A Comprehensive Structural and Functional Analysis ofbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
  6. Inhibition of diastatic yeasts byApplied and environmental microbiology · 2024
    Article
  7. Article
  8. The evolutionary ecology of fungal killer phenotypes.Proceedings. Biological sciences · 2023
    Review
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

8 authors at 4 institutions in 2 countries.

Ilya AndreevComputational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892.ORCID 0000-0001-6414-4570
Kamilla M E LaidlawBiology Department, University of York, York YO10 5DD, UK.
Simone M GiovanettiComputational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892.
Guillaume UrtechoMolecular Biology Interdepartmental Doctoral Program, University of California, Los Angeles, CA 90095.
Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892.ORCID 0000-0003-1928-5520
Joshua S BloomDepartment of Human Genetics, University of California, Los Angeles, CA 90095.
Chris MacDonaldBiology Department, University of York, York YO10 5DD, UK.
Meru J SadhuComputational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892.ORCID 0000-0002-8636-9102
National Human Genome Research Institute · USUniversity of York · GBQB3 · USUniversity of California, Los Angeles · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
UCLA NIGMS T32 Program AssessmentT32GM007185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 1985 to 2020
$21.7M
High-throughput genome engineeringZIAHG200401 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI SADHU, MERU · 2019 to 2025
$8.1M
Howard Hughes Medical InstituteIntramural NIH HHS ZIA HG200362Intramural NIH HHS ZIA HG200401NIGMS NIH HHS T32 GM007185Wellcome Trust
6 · The paper itself

Abstract

Secreted protein toxins are widely used weapons in conflicts between organisms. Elucidating how organisms genetically adapt to defend themselves against these toxins is fundamental to understanding the coevolutionary dynamics of competing organisms. Within yeast communities, "killer" toxins are secreted to kill nearby sensitive yeast, providing a fitness advantage in competitive growth environments. Natural yeast isolates vary in their sensitivity to these toxins, but to date, no polymorphic genetic factors contributing to defense have been identified. We investigated the variation in resistance to the killer toxin K28 across diverse natural isolates of the

Indexed as

MycotoxinsSaccharomyces cerevisiae ProteinsToxins, BiologicalKiller Factors, YeastSaccharomyces cerevisiaeKiller Factors, YeastMycotoxinsSaccharomyces cerevisiae ProteinsToxins, Biologicalevolutiongeneticshost defensekiller yeastquantitative genetics

Identifiers

PMID36800387
PMCPMC9974470
OpenAlexW4321168060

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.