Evidence map›Paper›PMID 41376788›Full record

ArticleFrontiers in cellular and infection microbiology2025

Hard to jump: host shifts appear unlikely in a T4-like phage evolved in the lab.

Yu Ning, Enrique González-Tortuero, Jeroen Wagemans, Flor I Arias-Sánchez

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Yu NingBIH Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.
Enrique González-TortueroSchool of Science, Engineering and Environment, University of Salford, Salford, United Kingdom.
Jeroen WagemansDepartment of Biosystems, Katholieke Universiteit (KU) Leuven Kulak, Kortrijk, Belgium.
Flor I Arias-SánchezBIH Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bacteriophage therapy is emerging as a promising alternative to antibiotics, particularly in the face of rising antimicrobial resistance. However, concerns remain regarding host shifts, where therapeutic phages could evolve to infect and harm beneficial commensal bacteria. Understanding how frequently host shifts occur and what evolutionary constraints shape them is critical to assessing the safety of phage therapy. Methods: We investigated the evolutionary potential for host shifts using Escherichia coli-infecting phage BW-1. Experimental evolution was conducted under controlled conditions that favored adaptation, using both non-permissive (unable to infect) and semi-permissive (low infectivity) bacterial strains. Virulence was assayed across hosts, and whole-genome sequencing was used to identify mutations associated with adaptation. Results: Host shifts were found to be rare, with no significant increases in virulence observed in non-permissive hosts. In contrast, adaptation occurred in semi-permissive hosts and was linked to trade-offs, where increased virulence in one host reduced infectivity in others. Whole-genome sequencing revealed a single convergent regulatory SNP across all phages adapted to the semi-permissive host, indicating constrained evolutionary pathways during host adaptation. Discussion: Our findings suggest that phages exhibit high host specificity, which limits the risk of host shifts to commensal bacteria. Although adaptation to semi-permissive hosts is possible, it is constrained and associated with fitness trade-offs across host ranges. These results indicate that therapeutic phages are unlikely to negatively impact intestinal microbiota, supporting their potential as safe and effective alternatives to antibiotics.

Indexed as

BacteriophagesBacteriophage T4ColiphagesEscherichia coliHost AdaptationHost SpecificityEvolution, MolecularGenome, ViralMutationPhage TherapyVirulenceWhole Genome Sequencinghost shiftsinfectionphage therapeuticsphage therapyvirulence

Identifiers

PMID41376788
PMCPMC12685909

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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.