Towards a general model for predicting minimal metal concentrations co-selecting for antibiotic resistance plasmids

Research output: Contribution to journalArticlepeer-review

Authors

  • Sankalp Arya
  • Alexander Williams
  • Saul Vazquez Reina
  • Charles W. Knapp
  • Jon L. Hobman
  • Dov J. Stekel

Colleges, School and Institutes

Abstract

Many antibiotic resistance genes co-occur with resistance genes for transition metals, such as copper, zinc, or mercury. In some environments, a positive correlation between high metal concentration and high abundance of antibiotic resistance genes has been observed, suggesting co-selection due to metal presence. Of particular concern is the use of copper and zinc in animal husbandry, leading to potential co-selection for antibiotic resistance in animal gut microbiomes, slurry, manure, or amended soils. For antibiotics, predicted no effect concentrations have been derived from laboratory measured minimum inhibitory concentrations and some minimal selective concentrations have been investigated in environmental settings. However, minimal co-selection concentrations for metals are difficult to identify. Here, we use mathematical modelling to provide a general mechanistic framework to predict minimal co-selective concentrations for metals, given knowledge of their toxicity at different concentrations. We apply the method to copper (Cu), zinc (Zn), mercury (Hg), lead (Pb) and silver (Ag), predicting their minimum co-selective concentrations in mg/L (Cu: 5.5, Zn: 1.6, Hg: 0.0156, Pb: 21.5, Ag: 0.152). To exemplify use of these thresholds, we consider metal concentrations from slurry and slurry-amended soil from a UK dairy farm that uses copper and zinc as additives for feed and antimicrobial footbath: the slurry is predicted to be co-selective, but not the slurry-amended soil. This modelling framework could be used as the basis for defining standards to mitigate risks of antimicrobial resistance applicable to a wide range of environments, including manure, slurry and other waste streams.

Highlights
• Transition metals, e.g. copper and zinc, can co-select for antibiotic resistance.
• Minimum co-selective concentration (MCSC) standards for transition metals are needed.
• We use ordinary differential equations model to form a general method for identifying MCSCs.
• We calibrate and apply the approach to copper, zinc, lead, mercury and silver.
• We exemplify its use in slurry and slurry-amended soil from a dairy farm.

Bibliographic note

Funding Information: Sankalp Arya was funded by a University of Nottingham Vice Chancellor’s Scholarship. Alexander Williams was funded by that Natural and Environmental Sciences Soil Training and Research Studentship. We thank Scott Young for facilitating the ICP-MS work, Helen West as Alex Williams’s primary supervisor, and Wissam Zendjebil for alerting us to Shi et al., 2013 . Publisher Copyright: © 2021 Elsevier Ltd

Details

Original languageEnglish
Article number116602
Number of pages9
JournalEnvironmental Pollution
Volume275
Early online date6 Feb 2021
Publication statusPublished - 15 Apr 2021