Evidence map›Paper›PMID 30281587›Full record

ArticlePLoS biology2018

Cross-resistance is modular in bacteria-phage interactions.

Rosanna C T Wright, Ville-Petri Friman, Margaret C M Smith, Michael A Brockhurst

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

92 citing papers in PubMed, 142 citations in OpenAlex.

  1. Article
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  6. Mutation of Eamy_RS26425,Applied and environmental microbiology · 2026
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  11. Review
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  14. Three Novel Bacteriophages for the Biocontrol ofPathogens (Basel, Switzerland) · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Bacteriophage density influences the rate of resistance evolution.bioRxiv : the preprint server for biology · 2025
    Article
  19. Quantifying phage infectivity from characteristics of bacterial population dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Bacteria-phage infection network structure and genomic defence system content predict efficacy of a phage therapy cocktail againstPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article

32 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Rosanna C T WrightDepartment of Biology, University of York, York, United Kingdom.
Ville-Petri FrimanDepartment of Biology, University of York, York, United Kingdom.
Margaret C M SmithDepartment of Biology, University of York, York, United Kingdom.
Michael A BrockhurstDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0003-0362-820X
University of York · GBUniversity of Sheffield · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L024209/
6 · The paper itself

Abstract

Phages shape the structure of natural bacterial communities and can be effective therapeutic agents. Bacterial resistance to phage infection, however, limits the usefulness of phage therapies and could destabilise community structures, especially if individual resistance mutations provide cross-resistance against multiple phages. We currently understand very little about the evolution of cross-resistance in bacteria-phage interactions. Here we show that the network structure of cross-resistance among spontaneous resistance mutants of Pseudomonas aeruginosa evolved against each of 27 phages is highly modular. The cross-resistance network contained both symmetric (reciprocal) and asymmetric (nonreciprocal) cross-resistance, forming two cross-resistance modules defined by high within- but low between-module cross-resistance. Mutations conferring cross-resistance within modules targeted either lipopolysaccharide or type IV pilus biosynthesis, suggesting that the modularity of cross-resistance was structured by distinct phage receptors. In contrast, between-module cross-resistance was provided by mutations affecting the alternative sigma factor, RpoN, which controls many lifestyle-associated functions, including motility, biofilm formation, and quorum sensing. Broader cross-resistance range was not associated with higher fitness costs or weaker resistance against the focal phage used to select resistance. However, mutations in rpoN, providing between-module cross-resistance, were associated with higher fitness costs than mutations associated with within-module cross-resistance, i.e., in genes encoding either lipopolysaccharide or type IV pilus biosynthesis. The observed structure of cross-resistance predicted both the frequency of resistance mutations and the ability of phage combinations to suppress bacterial growth. These findings suggest that the evolution of cross-resistance is common, is likely to play an important role in the dynamic structure of bacteria-phage communities, and could inform the design principles for phage therapy treatments.

Indexed as

BacteriaBacteriophagesDrug ResistanceMutationPseudomonas aeruginosaQuorum SensingReceptors, VirusReceptors, Virus

Identifiers

PMID30281587
PMCPMC6188897
OpenAlexW2895139227

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.