Evidence map›Paper›PMID 40569387›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Overcoming toxicity: How nonantagonistic microbes manage to thrive in boom-and-bust environments.

MingYi Wang, Alexander Vladimirsky, Andrea Giometto

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Overcoming toxicity: How nonantagonistic microbes manage to thrive in boom-and-bust environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

3 authors.

MingYi WangCenter for Applied Mathematics, Cornell University, Ithaca, NY 14853.ORCID 0009-0007-0488-9248
Alexander Vladimirsky *Department of Mathematics and Center for Applied Mathematics, Cornell University, Ithaca, NY 14853.ORCID 0000-0003-4284-4546
Andrea Giometto *School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-0544-6023

Funding

Evolutionary dynamics of dense, spatially structured, and antagonistic microbial populationsR35GM147493 · NIGMS · CORNELL UNIVERSITY · PI Andrea Giometto · 2022 to 2026
$2.0M
DOD | AF | AMC | AFRL | Air Force Office of Scientific Research (AFOSR) FA9550-22-1-0528HHS | NIH | National Institute of General Medical Sciences (NIGMS) 1R35GM147493National Science Foundation (NSF) DMS-1645643National Science Foundation (NSF) DMS-2111522NIGMS NIH HHS R35 GM147493
6 · The paper itself

Abstract

Antagonistic interactions are critical determinants of microbial community stability and composition, offering host benefits such as pathogen protection and providing avenues for antimicrobial control. While the ability to eliminate competitors confers an advantage to antagonistic microbes, it often incurs a fitness cost. Consequently, many microbes only produce toxins or engage in antagonistic behavior in response to specific cues like quorum sensing molecules or environmental stress. In laboratory settings, antagonistic microbes typically dominate over sensitive ones, raising the question of why both antagonistic and nonantagonistic microbes are found in natural environments and host microbiomes. Here, using both theoretical models and experiments with killer strains of

Indexed as

AntibiosisMicrobiotaSaccharomyces cerevisiaeModels, BiologicalQuorum Sensinginterference competitionmicrobiomesoptimal controlPDMPquorum sensing

Identifiers

PMID40569387
PMCPMC12232701

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.