Evidence map›Paper›PMID 39841243›Full record

ArticlePLoS biology2025

Chloramphenicol and gentamicin reduce the evolution of resistance to phage ΦX174 by suppressing a subset of E. coli LPS mutants.

Lavisha Parab, Jordan Romeyer Dherbey, Norma Rivera, Michael Schwarz, Jenna Gallie, Frederic Bertels

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Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Lavisha ParabMicrobial Molecular Evolution Group, Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID https://orcid.org/0000-0002-7626-3216
Jordan Romeyer DherbeyMicrobial Molecular Evolution Group, Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Norma RiveraMicrobial Molecular Evolution Group, Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Michael SchwarzMicrobial Molecular Evolution Group, Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Jenna GallieMicrobial Evolutionary Dynamics Group, Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID https://orcid.org/0000-0003-2918-0925
Frederic BertelsMicrobial Molecular Evolution Group, Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, Plön, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophages infect gram-negative bacteria by attaching to molecules present on the bacterial surface, often lipopolysaccharides (LPS). Modification of LPS can lead to resistance to phage infection. In addition, LPS modifications can impact antibiotic susceptibility, allowing for phage-antibiotic synergism. The evolutionary mechanism(s) behind such synergistic interactions remain largely unclear. Here, we show that the presence of antibiotics can affect the evolution of resistance to phage infection, using phage ΦX174 and Escherichia coli C. We use a collection of 34 E. coli C LPS strains, each of which is resistant to ΦX174, and has either a "rough" or "deep rough" LPS phenotype. Growth of the bacterial strains with the deep rough phenotype is inhibited at low concentrations of chloramphenicol and, to a much lesser degree, gentamicin. Treating E. coli C wild type with ΦX174 and chloramphenicol eliminates the emergence of mutants with the deep rough phenotype, and thereby slows the evolution of resistance to phage infection. At slightly lower chloramphenicol concentrations, phage resistance rates are similar to those observed at high concentrations; yet, we show that the diversity of possible mutants is much larger than at higher chloramphenicol concentrations. These data suggest that specific antibiotic concentrations can lead to synergistic phage-antibiotic interactions that disappear at higher antibiotic concentrations. Overall, we show that the change in survival of various ΦX174-resistant E. coli C mutants in the presence of antibiotics can explain the observed phage-antibiotic synergism.

Indexed as

Anti-Bacterial AgentsBacteriophage phi X 174ChloramphenicolEscherichia coliGentamicinsLipopolysaccharidesMutationAnti-Bacterial AgentsChloramphenicolGentamicinsLipopolysaccharides

Identifiers

PMID39841243
PMCPMC11753469

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.