Evidence map›Paper›PMID 41057320›Full record

ArticleNature communications2025

Metabolic interplay drives population cycles in a cross-feeding microbial community.

Tyler D Ross, Hanhyeok Im, Brennan G Keogh, Christopher A Klausmeier, Ophelia S Venturelli

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Physics-constrained neural ordinary differential equation models to discover and predict microbial community dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tyler D RossDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Hanhyeok ImDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Brennan G KeoghDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Christopher A KlausmeierW. K. Kellogg Biological Station, Michigan State University, Hickory Corners, MI, USA. klausme@msu.edu.ORCID http://orcid.org/0000-0002-6987-5871
Ophelia S VenturelliDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA. ophelia.venturelli@duke.edu.ORCID http://orcid.org/0000-0003-2200-1963

Funding

Elucidating the molecular and ecological design principles of stability and assembly of the human gut microbiotaR35GM124774 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Ophelia Venturelli · 2017 to 2026
$2.9M
NIGMS NIH HHS R35 GM124774United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-19-1-0269U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35GM124774
6 · The paper itself

Abstract

Population cycles are prevalent in ecosystems and play key roles in determining their functions. While multiple mechanisms have been theoretically shown to generate population cycles, there are limited examples of mutualisms driving self-sustained oscillations. Using an engineered microbial community that cross-feeds essential amino acids, we experimentally demonstrate cycles in strain abundance that are robust across environmental conditions. A nonlinear dynamical model that incorporates the experimentally observed cross-inhibition of amino acid production recapitulates the population cycles. The model shows that the cycles represent internally generated relaxation oscillations, which emerge when fast resource dynamics with positive feedback drive slow changes in strain abundance. The temporal structure of the resource dynamics prevents nonproducing cheaters from persisting within the oscillating community. Our findings highlight the critical role of resource dynamics and feedback in shaping population cycles in microbial communities and have implications for biotechnology.

Indexed as

Escherichia coliMicrobiotaAmino AcidsEcosystemModels, BiologicalAmino Acids

Identifiers

PMID41057320
PMCPMC12504756

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.