Abstract

Antimicrobial resistance (AMR) is a major health concern, and a range of antibiotic and non-antibiotic agents can select for AMR across a range of concentrations. Selection for AMR is often investigated using single compounds, however, in the natural environment and the human body, pharmaceuticals will be present as mixtures, including both non-antibiotic drugs (NADs), and antibiotics. Here, we assessed the effects of one of three NADs in combination with ciprofloxacin, a commonly used antibiotic that is often found at concentrations in global freshwaters sufficiently high to select for AMR. We used a combination of growth assays and qPCR to determine selective concentrations of mixtures and used metagenome sequencing to identify changes to the resistome and community composition. The addition of the three NADs to ciprofloxacin altered the selection dynamics for intI1 compared to the ciprofloxacin alone treatments, and sequencing indicated that mixtures showed a stronger selection for some AMR genes such as qnrB. The communities exposed to the mixtures also showed changed community compositions. These results demonstrate that NADs and ciprofloxacin are more selective than ciprofloxacin alone, and these mixtures can cause distinct changes to the community composition. This indicates that future work should consider combinations of antibiotics and NADs as drivers of AMR when considering its maintenance and acquisition.

Original languageEnglish
Article numberycaf169
Pages (from-to)1-13
Number of pages13
JournalISME Communications : New Developments in Microbial Ecology
Volume5
Issue number1
Early online date14 Oct 2025
DOIs
Publication statusE-pub ahead of print - 14 Oct 2025

Data Availability Statement

The metagenome data generated and analysed in this study are
available at ENA with accession code PRJEB88784. The growth
and qPCR data, and processed metagenome data, alongside code
used to analyse these, are available at Zenodo DOI: https://doi.
org/10.5281/zenodo.15324016.

Acknowledgements

We thank the Exeter Sequencing Service for their work sequencing the Illumina metagenomic sequencing. The authors would like to acknowledge the use of
the University of Exeter’s Advanced Research Computing facilities in carrying out this work.

Funding

AH was supported by a FRESH CDT/AstraZeneca PhD Studentship (NE/R011524/1). WHG was supported by a NERC Knowledge Exchange Fellowship (NE/S006257/1). AKM was supported by a NERC Industrial Innovation Fellowship (NE/R01373X/1). The funders had no role in the conception nor writing of this paper. This project utilized equipment funded by the Wellcome Trust Institutional Strategic Support Fund (WT097835MF), Wellcome Trust Multi User Equipment Award (WT101650MA) and BBSRC LOLA award (BB/K003240/1).

Keywords

  • antimicrobial resistance
  • microbial ecology
  • mixtures
  • non-antibiotic drugs
  • pharmaceuticals

ASJC Scopus subject areas

  • Microbiology

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