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Updated: Jun 4, 2025

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Quantification of Plasmid-Mediated Antibiotic Resistance in an Experimental Evolution Approach
Published on: December 14, 2019
13.9K
Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype.
Ayşe Nisan Erdoğan1, Pouria Dasmeh2,3,4, Raymond D Socha1
1Michael Smith Laboratories, University of British Columbia, Vancouver, V6T 1Z4, BC, Canada.
Nature Communications
|December 31, 2024
Summary
Phenotypic variation, crucial for evolution, can arise and persist in populations even in stable, low-antibiotic environments. This study shows how VIM-2 enzyme evolution leads to significant antibiotic resistance increases.
Area of Science:
- Evolutionary Biology
- Microbial Genetics
- Biochemistry
Background:
- Heritable phenotypic variation is key to population adaptation and evolution.
- Understanding genotype-phenotype-environment links is crucial but challenging.
- Existing models struggle to explain the emergence and maintenance of widespread phenotypic variation.
Purpose of the Study:
- To establish a controlled experimental system for studying genotype-phenotype relationships.
- To investigate the conditions promoting phenotypic variation during experimental evolution.
- To explore the evolution of antibiotic resistance in VIM-2 β-lactamase populations.
Main Methods:
- Long-term experimental evolution of VIM-2 β-lactamase.
- Controlled environmental conditions with low antibiotic concentrations.
- Analysis of genotype-phenotype relationships and fitness landscapes.
Main Results:
- Static environments with low antibiotic concentrations promote and maintain significant phenotypic variation.
- Evolved VIM-2 variants showed over 100-fold increased antibiotic resistance.
- A fitness-based model explained the emergence of standing phenotypic variation.
Conclusions:
- Phenotypic variation can emerge and be maintained under static, low-selection conditions.
- The VIM-2 system provides a tractable model for studying population-level evolvability.
- This research offers insights into the mechanisms driving adaptive evolution and resistance.
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