Evidence map›Paper›PMID 42189907›Full record

ArticlePLoS computational biology2026

The interplay between ecological networks drives host-plasmid community dynamics.

Ying-Jie Wang, Kaitlin A Schaal, Johannes Nauta, Armun Liaghat, Manlio De Domenico, James P J Hall, Shai Pilosof

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ying-Jie WangDepartment of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0001-9091-6423
Kaitlin A SchaalDepartment of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0001-9033-9646
Johannes NautaDepartment of Physics and Astronomy "Galileo Galilei", University of Padova, Padova, Italy.
Armun LiaghatDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States of America.
Manlio De DomenicoDepartment of Physics and Astronomy "Galileo Galilei", University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0001-5158-8594
James P J HallDepartment of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Shai PilosofDepartment of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0003-0430-5568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmids drive evolution by transferring traits across microbial hosts. Transmission depends on both host-plasmid (infection) and plasmid-plasmid (compatibility) interactions, yet how the structure of these networks shapes transmission remains poorly understood. We hypothesized that these two ecological networks interact in non-additive ways to influence community outcomes. To test this, we developed a stochastic agent-based model that embeds both network structures and simulates coupled host-plasmid dynamics. We systematically varied the structure of each network, both individually and in combination, to isolate the effect of structure on host-plasmid dynamics. A modular (interactions organized into clusters) and hub (interactions concentrated on the highly connected) plasmid-plasmid compatibility network promoted transient host coexistence, while a modular host-plasmid infection network promoted plasmid diversity and stable host coexistence. Importantly, structured networks interacted non-additively, and their impact was most apparent when plasmid carriage imposed a moderate fitness cost on hosts. For example, combining a modular infection network with a hub compatibility network reversed the expected plasmid prevalence patterns, demonstrating that the structure of one network can counteract the effects of the other. We further re-parameterized our model to recapitulate empirical host-plasmid community dynamics, showing that infection network structure can strongly shape plasmid prevalence even in the presence of substantial biological heterogeneity. Our results highlight the necessity of jointly considering host-plasmid infection and plasmid-plasmid compatibility networks to understand host-plasmid community dynamics and their eco-evolutionary potential. More broadly, this work provides an initial mechanistic framework for generating testable hypotheses and underscores that systems involving multiple hosts and infectious agents require explicit consideration of how different ecological networks interact to shape community dynamics.

Indexed as

Host-Pathogen InteractionsModels, BiologicalPlasmidsComputational Biology

Identifiers

PMID42189907
PMCPMC13235927

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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.