e-ISSN: Pending
Negative / Null Result ReportOpen accessEnvironmental Science· cited by 34

Modelling the synergistic effect of bacteriophage and antibiotics on bacteria: Killers and drivers of resistance evolution

Quentin J. Leclerc; Jodi A. Lindsay; Gwenan M. Knight · 2022 · PLoS Computational Biology

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

Bacteriophage (phage) are bacterial predators that can also spread antimicrobial resistance (AMR) genes between bacteria by generalised transduction. Phage are often present alongside antibiotics in the environment, yet evidence of their joint killing effect on bacteria is conflicted, and the dynamics of transduction in such systems are unknown. Here, we combine in vitro data and mathematical modelling to identify conditions where phage and antibiotics act in synergy to remove bacteria or drive AMR evolution. We adapt a published model of phage-bacteria dynamics, including transduction, to add

Abstract by Quentin J. Leclerc; Jodi A. Lindsay; Gwenan M. Knight, PLoS Computational Biology (2022) — licensed CC BY 4.0.

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Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1010746