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.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Is CO 2 an Indoor Pollutant? Direct Effects of Low-to-Moderate CO 2 Concentrations on Human Decision-Making Performance
Negative / Null Result ReportIngestion of Nanoplastics and Microplastics by Pacific Oyster Larvae
Negative / Null Result ReportHealth Effects of Chronic Arsenic Exposure
Negative / Null Result ReportSevere Air Pollution and Labor Productivity: Evidence from Industrial Towns in China
Negative / Null Result ReportLand-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
Negative / Null Result ReportTraffic-Related Air Pollution and Cognitive Function in a Cohort of Older Men
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1371/journal.pcbi.1010746
