Evidence map›Paper›PMID 40536437›Full record

ArticleEcology letters2025

Host Competitive Asymmetries Accelerate Viral Evolution in a Microbe-Virus Coevolutionary System.

Armun Liaghat, Martin Guillemet, Rachel Whitaker, Sylvain Gandon, Mercedes Pascual

Abstract read
In one paragraph

Article in Ecology letters, 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. 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

5 authors.

Armun LiaghatDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, USA.
Martin GuillemetInstitute for Integrative Biology, ETH Zürich, Zürich, Switzerland.
Rachel WhitakerCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Sylvain GandonCEFE, CNRS, Universite de Montpellier, EPHE, IRD, Montpellier, France.ORCID https://orcid.org/0000-0003-2624-7856
Mercedes PascualDepartment of Biology, New York University, New York, New York, USA.ORCID https://orcid.org/0000-0003-3575-7233

Funding

Gordon and Betty Moore Foundation GBMF 9195National Science Foundation Division of Biological Infrastructure 2022049
6 · The paper itself

Abstract

Microbial host populations evolve traits conferring specific resistance to viral predators via various defence mechanisms, while viruses reciprocally evolve traits to evade these defences. Such coevolutionary dynamics often involve diversification promoted by negative frequency-dependent selection. However, microbial traits conferring competitive asymmetries can induce directional selection, opposing diversification. Despite extensive research on microbe-virus coevolution, the combined effect of both host trait types and associated selection remains unclear. Using a CRISPR-mediated coevolutionary system, we examine how the co-occurrence of both trait types impacts viral evolution and persistence, previously shown to be transient and nonstationary in computational models. A stochastic model incorporating host competitive asymmetries via variation of intrinsic growth rates reveals that competitively advantaged host clades generate the majority of immune diversity. Greater asymmetries extend viral extinction times, accelerate viral adaptation locally in time and augment long-term local adaptation. These findings align with previous experiments and provide further insights into long-term coevolutionary dynamics.

Indexed as

Biological CoevolutionBiological EvolutionHost Microbial Interactionsmicrobe–virus coevolutionmultiple modes of selectionnegative frequency‐dependent selectionpredator–preyviral persistence

Identifiers

PMID40536437
PMCPMC12178233

What OpenQuestion holds

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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.