Suppressing selection for antibiotic resistance in the environment: A transparent, ecology-based approach to predicted no-effect concentrations
David Kneis, Magali de la Cruz Barrón, Diala Konyali, Valentin Westphal, Patrick Schröder, Kathi Westphal-Settele, Jens Schönfeld, Dirk Jungmann, Thomas Ulrich Berendonk, Uli Klümper
The paper proposes an ecology-based method to predict no-effect concentrations for antibiotic resistance using MIC data and fitness cost estimates, suggesting regulatory thresholds should be lowered.
bioRxiv · Apr 4, 2025 · PreprintMicrobiology