Evidence map›Paper›PMID 41838749›Full record

ArticlePLoS computational biology2026

Live and let die: Lysis time variability and resource limitation shape lytic bacteriophage fitness.

Aaron Smith, Michael Hunter, Somenath Bakshi, Diana Fusco

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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Aaron SmithCavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0009-0002-0602-396X
Michael HunterLife Sciences Institute, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-5439-2896
Somenath BakshiDepartment of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-3864-2546
Diana FuscoCavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-1505-7160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophages (phages) play a critical role in controlling bacterial populations, both in nature and as potential therapeutic agents. Their ability to replicate, compete against each other, and eradicate target cell populations is usually understood through a number of 'life history parameters', traditionally measured by population-level assays, which implicitly average the parameter's value across a large number of infection events. Recent experiments suggest that bacteriophage life history parameters are subject to considerable stochasticity, raising the question of whether experimental and modelling efforts that do not account for this variability may overlook important factors in phage's behaviour, competitive fitness or therapeutic viability. Here, using agent-based simulations, we investigate the importance of stochasticity in lysis time and burst size of lytic bacteriophages in two common laboratory competition experiments: serial passage of well-mixed populations and plaque expansion across a bacterial lawn. We find that a phage's analytic growth rate in isolation can be a poor predictor of its fitness advantage in simulated competition experiments. Specifically, when lysis times are tightly distributed, we identify a novel effect we name "population resonance", through which a bacteriophage can display a significant fitness advantage over a competitor with a much greater growth rate in isolation. Our simulations also show that both serial passage and plaque expansion reward variability in lysis time more than expected, by increasing the phage resilience when resources are scarce.

Indexed as

BacteriaBacteriolysisBacteriophagesLysogenyTime Factors

Identifiers

PMID41838749
PMCPMC12991254

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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.