Evidence map›Paper›PMID 41841793›Full record

ArticleThe ISME journal2026

Density-dependent feedback and higher-order interactions enable coexistence in phage-bacteria community dynamics.

Raunak Dey, Ashley R Coenen, Natalie E Solonenko, Marie N Burris, Anna I Mackey, Julia Galasso, Christine L Sun, David Demory, Daniel Muratore, Stephen J Beckett and 2 more

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Raunak DeyDepartment of Physics, University of Maryland, College Park, MD 20742, United States.ORCID 0000-0001-7585-4957
Ashley R CoenenSchool of Physics, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-7377-139X
Natalie E SolonenkoDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Marie N BurrisDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Anna I MackeyDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Julia GalassoDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.
Christine L SunDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.ORCID 0000-0003-2055-9699
David DemorySchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0003-4928-8925
Daniel MuratoreSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-6328-9663
Stephen J BeckettSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0002-4410-2960
Matthew B SullivanDepartment of Microbiology, The Ohio State University, Columbus, OH 43210, United States.ORCID 0000-0001-8398-8234
Joshua S WeitzDepartment of Physics, University of Maryland, College Park, MD 20742, United States.ORCID 0000-0002-3433-8312

Funding

DOE Systems Biology DE-SC0023307 (M.B.S.)National Science Foundation 1829636 (J.S.W.)NSF EMERGE Biology Integration Institute 2022070 (M.B.S.)Simons Foundation 721231 (J.S.W.)
6 · The paper itself

Abstract

Diverse phage-bacteria communities coexist at high densities in environmental, agricultural, and human-associated microbiomes. Phage-bacteria coexistence is often attributed to coevolutionary processes mediated by complex, pairwise infection networks. Here, using in vitro experiments and mathematical models, we explore how higher-order interactions function as a complementary, ecological feedback mechanism to stabilize phage-bacteria communities. To do so, we examine an environmentally derived, synthetic phage-bacteria community comprised of five marine heterotrophic bacteria (Cellulophaga baltica and Pseudoalteromonas strains) and five associated phage. We used Bayesian inference to reconstruct free phage production in one-step growth experiments and then forecasted pairwise phage-bacteria community dynamics over multiple infection cycles. In contrast to model predictions of rapid bacterial population collapse, each bacterial strain persisted in the community. We hypothesized and then experimentally validated the relevance of infection attenuation at relatively high viral densities. We extended models into a community context, corroborating complex coexistence of all phage and bacteria. Life-history traits inferred in community fits often differed from those inferred in a pairwise context, implicating higher-order interactions as an additional, ecological stabilization mechanism. Follow-up experiments confirm that phage traits (including burst size) can shift when infecting single versus multiple strains. More broadly, these findings suggest that complex community coexistence of phage and bacteria may be more common than anticipated when including feedback mechanisms outside of the growth-dominated regimes of fitted pairwise models that do not reflect the full scope of ecologically relevant contexts.

Indexed as

BacteriaBacteriophagesMicrobial InteractionsMicrobiotaPseudoalteromonasModels, Theoreticalcoexistence theorycommunity assemblycommunity ecologyhigher-order interactionsmicrobial ecologymodeling and ecological theoryphage–host interactionspopulation dynamicstemporal dynamics

Identifiers

PMID41841793
PMCPMC13077301

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Registered trials

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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.