Comparative selective pressure potential of antibiotics in the environment

Yasmine Emara, Olivier Jolliet, Matthias Finkbeiner, Stefanie Heß, Marissa Kosnik, Marc-William Siegert, Peter Fantke*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

To guide both environmental and public health policy, it is important to assess the degree of antibiotic resistance selection pressure under measured environmental concentrations (MECs), and to compare the efficacy of different mitigation strategies to minimize the spread of resistance. To this end, the resistance selection and enrichment potential due to antibiotic emissions into the environment must be analysed from a life cycle perspective, for a wide range of antibiotics, and considering variations in the underlying fitness costs between different resistance mutations and genes. The aim of this study is to consistently derive fitness cost-dependent minimum selective concentrations (MSCs) from readily available bacterial inhibition data and to build MSCbased species sensitivity distributions (SSDs). These are then used to determine antibiotic-specific resistance selection concentrations predicted to promote resistance in 5% of exposed bacterial species (RSC5). Using a previously developed competition model, we provide estimated MSC10 endpoints for 2,984 antibiotic and bacterial species combinations; the largest set of modelled MSCs available to date. Based on constructed SSDs, we derive RSC5 for 128 antibiotics with four orders of magnitude difference in their ‘selective pressure potential’ in the environment. By comparing our RSC5 to MECs, we highlight specific environmental compartments (e.g. hospital and wastewater effluents, lakes and rivers), as well as several antibiotics (e.g. ciprofloxacin, norfloxacin, enrofloxacin, and tetracycline), to be scrutinized for their potential role in resistance selection and dissemination. In addition to enabling comparative risk screening of the selective pressure potential of multiple antibiotics, our SSD-derived RSC5 provide the point of departure for calculating new life cycle-based characterization factors for antibiotics to compare mitigation strategies, thereby contributing towards a ‘One-Health’ approach to tackling the global antibiotic resistance crisis.
Original languageEnglish
Article number120873
JournalEnvironmental Pollution
Volume318
Number of pages12
ISSN0269-7491
DOIs
Publication statusPublished - 2023

Keywords

  • Antibiotic resistance
  • Minimum selective concentration
  • Fitness cost
  • Selection coefficient
  • Species sensitivity distribution
  • Life cycle impact assessment

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