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Updated: Nov 6, 2025

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection
Published on: September 27, 2016
Adaptation at different points along antibiotic concentration gradients
Mato Lagator1,2, Hildegard Uecker1,3,4, Paul Neve5,6
1IST Austria, Am Campus 1, 3400 Klosterneuburg, Austria.
Understanding antibiotic resistance evolution along concentration gradients is key. Populations adapted to high antibiotic concentrations evolve slower but maintain fitness, while low-concentration adapted populations evolve faster but have lower fitness.
Area of Science:
- Microbiology and Evolutionary Biology
- Antibiotic Resistance Dynamics
Background:
- Antibiotic concentrations vary significantly in biological and environmental settings.
- Understanding resistance evolution across antibiotic concentration gradients is crucial for managing antibiotic resistance.
- Limited research exists on how adaptation to one concentration affects fitness at other concentrations.
Purpose of the Study:
- To investigate the dynamics of resistance evolution in *Escherichia coli* along antibiotic concentration gradients.
- To determine if populations adapt to specific antibiotic concentrations (specialization).
- To assess the fitness of evolved strains across the entire antibiotic concentration gradient.
Main Methods:
- Selection of *Escherichia coli* populations at multiple points along concentration gradients of three different antibiotics.
- Measurement of resistance evolution rates.
- Evaluation of population fitness across the antibiotic concentration gradient.
Main Results:
- Populations selected at higher antibiotic concentrations evolved resistance more slowly but maintained equal or higher fitness across the gradient.
- Populations selected at lower concentrations evolved resistance rapidly but exhibited lower overall fitness in the presence of antibiotics.
- Populations adapted to lower concentrations demonstrated a capacity for rapid adaptation to higher concentrations upon subsequent selection.
Conclusions:
- Antibiotic resistance management strategies must consider both the rate of resistance evolution and the fitness of evolved strains across varying concentrations.
- Adaptation to specific antibiotic concentrations can lead to trade-offs in fitness at other concentrations.
- The study highlights the complex interplay between antibiotic concentration, resistance evolution, and microbial fitness.
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