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Updated: Jan 13, 2026

Quadruple-Checkerboard: A Modification of the Three-Dimensional Checkerboard for Studying Drug Combinations
Published on: July 24, 2021
Linezolid and levofloxacin: an uncommon pairing that suppresses evolution of resistance in E. faecalis
Noah M Schlachter1, Keanu Guardiola Flores1, Kevin B Wood1,2
1Department of Biophysics, University of Michigan, Ann Arbor, MI 48109, United States.
Abstract:
Drug combinations offer one potential strategy for slowing the evolution of antibiotic resistance. In this work, we investigate the evolution of drug resistance (strictly, the decrease in susceptibility) in populations of Enterococcus faecalis, an opportunistic human pathogen, exposed to different concentrations of the rarely used combination of linezolid (LZD) and levofloxacin (LEV). Using continuous culture bioreactors, we measured the two-dimensional dose-response surface of ancestral populations of E. faecalis, revealing that the LZD-LEV combination is strongly antagonistic, resulting in increased growth as LZD concentration is increased at a (sufficiently high) fixed concentration of LEV. Next, we performed multiday (50+ hour) evolution experiments by continually exposing populations to four different fixed-concentration combinations and then characterized isolates from adapted populations using whole genome sequencing and phenotypic dose-response curves. To control for differences in inhibition levels for different concentration combinations, we chose LZD-LEV combinations that fall along a single contour of constant growth in the two-drug space of LZD-LEV concentrations. Despite similar levels of initial inhibition across the four concentration combinations, we found that adaption is markedly different, with the most rapid adaptation and highest levels of evolved resistance occurring at combinations that include a high concentration of one drug and low concentration of the other. By contrast, we found almost no adaptation when both drugs were used at high concentrations, an initially surprising result that can be explained by simple drug-rescaling arguments applied to the antagonistic dose-response surface. Our results underscore the potential utility of a nonstandard (and strongly antagonistic) drug combination in suppressing resistance.
Insights
This study explored how combining linezolid (LZD) and levofloxacin (LEV) affects antibiotic resistance in *Enterococcus faecalis*. Antagonistic drug combinations, with high levels of one drug and low levels of the other, showed the most rapid adaptation and highest resistance evolution.
Area of Science:
- Microbiology
- Evolutionary Biology
- Pharmacology
Background:
- Antibiotic resistance is a growing threat to public health.
- Drug combinations are a strategy to combat resistance.
- Enterococcus faecalis is an opportunistic pathogen.
Purpose of the Study:
- Investigate the evolution of drug resistance in *E. faecalis* populations exposed to linezolid (LZD) and levofloxacin (LEV).
- Characterize the dose-response surface and adaptation patterns under different LZD-LEV concentrations.
Main Methods:
- Utilized continuous culture bioreactors to study *E. faecalis* populations.
- Measured two-dimensional dose-response surfaces for LZD-LEV combinations.
- Performed multiday evolution experiments with fixed drug concentrations.
- Employed whole genome sequencing and phenotypic dose-response curves to analyze adapted isolates.
Main Results:
- The LZD-LEV combination exhibited strong antagonism, increasing growth with higher LZD concentrations at fixed LEV.
- Adaptation varied significantly across different LZD-LEV concentration combinations, even with similar initial inhibition.
- Rapid adaptation and highest resistance evolved with high concentrations of one drug and low concentrations of the other.
- Minimal adaptation occurred when both drugs were at high concentrations.
Conclusions:
- Nonstandard, strongly antagonistic drug combinations can be effective in suppressing antibiotic resistance evolution.
- Understanding dose-response surfaces is crucial for designing effective antibiotic combination therapies.
- The findings suggest novel strategies for combating resistance in *E. faecalis* and potentially other pathogens.
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