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Updated: Dec 27, 2025

Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance
Published on: May 2, 2018
Antibiotic interactions shape short-term evolution of resistance in E. faecalis
Ziah Dean1, Jeff Maltas1, Kevin B Wood1,2
1Department of Biophysics, University of Michigan, Ann Arbor, Michigan, United States of America.
Understanding how antibiotic combinations affect bacterial resistance is crucial. This study reveals that drug interactions significantly influence the evolution of drug resistance and growth adaptation in E. faecalis, impacting treatment strategies.
Area of Science:
- Microbiology
- Evolutionary Biology
- Pharmacology
Background:
- Antibiotic combinations are vital for treating infections caused by opportunistic pathogens like Enterococcus faecalis.
- While synergistic drug combinations are known, their impact on the rate of resistance evolution remains understudied.
- Enterococcus faecalis is a significant contributor to high-inoculum infections, including infective endocarditis.
Purpose of the Study:
- To quantify how different antibiotic combination interaction types (synergistic to suppressive) affect the evolution of growth rate and drug resistance in E. faecalis.
- To explore the relationship between drug interaction profiles and resistance evolution trajectories.
Main Methods:
- Utilized high-throughput laboratory evolution experiments to expose E. faecalis to various drug combinations.
- Quantified adaptation in both growth rate and drug resistance across different evolutionary conditions.
- Employed rescaling arguments and geometric transformations to analyze two-drug growth response surfaces.
Main Results:
- Observed diverse evolutionary behaviors, including accelerated or decreased growth adaptation, contingent on drug interaction and resistance profiles.
- Dual beta-lactam combinations accelerated growth adaptation with minimal changes in resistance profiles compared to individual drugs.
- Aminoglycoside and beta-lactam combinations showed decreased growth adaptation, with resistance profiles varying by drug concentration.
Conclusions:
- Drug interactions and resistance profiles present trade-offs during the evolution of multidrug resistance.
- Specific drug pairs targeting enterococci exhibit distinct evolutionary advantages and disadvantages.
- Simple rescaling arguments can explain key features of evolutionary trajectories under drug combinations.
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