Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype

Heritable phenotypic variation plays a central role in evolution by conferring rapid adaptive capacity to populations. Mechanisms that can explain genetic diversity by describing connections between genotype and organismal fitness have been described. However, the difficulty of acquiring comprehensive data on genotype-phenotype-environment relationships has hindered the efforts to explain how the ubiquitously observed phenotypic variation in populations emerges and is maintained. To address this challenge, we establish an experimental system where we can examine the genotype-phenotype relationships in a controlled environment. We perform long-term experimental evolution on VIM-2 β-lactamase, an antibiotic-resistance enzyme, to explore the conditions that promote the emergence and maintenance of phenotypic variation. We found that evolution in a static environment with low antibiotic concentrations can promote and maintain significant phenotypic variation within populations. Notably, evolution of VIM-2 under selection with a low antibiotic concentration led to variants that conferred resistance to over 100-fold higher antibiotic concentrations than used in selection. A model based on the previously described threshold-like relationship between enzyme phenotype and fitness generated using VIM-2's all single amino acid variants, sufficiently explains the emergence of standing phenotypic variation under static environmental conditions. Overall, our approach provides a tractable model for studying phenotypic variation and evolvability at the population level.

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Publication Details

Journal
Nature Communications
Published
2024-12-30
DOI
https://doi.org/10.1038/s41467-024-55012-4
Citations
5
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
2.75

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article

Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype

Dan Kehila, John Z. Chen, Linda Kiritchkov, Ayşe Nisan Erdoğan et al.
5 citations
Nature Communications
Evolution and Genetic Dynamics
2.75
article

Neutral drift upon threshold-like selection promotes variation in antibiotic resistance phenotype

Dan Kehila, John Z. Chen, Linda Kiritchkov, Ayşe Nisan Erdoğan, Adrian W.R. Serohijos, Raymond D. Socha, Rachel Jun, Benjamin Life, Nobuhiko Tokuriki, Pouria Dasmeh
article en
5 citations

Abstract

Heritable phenotypic variation plays a central role in evolution by conferring rapid adaptive capacity to populations. Mechanisms that can explain genetic diversity by describing connections between genotype and organismal fitness have been described. However, the difficulty of acquiring comprehensive data on genotype-phenotype-environment relationships has hindered the efforts to explain how the ubiquitously observed phenotypic variation in populations emerges and is maintained. To address this challenge, we establish an experimental system where we can examine the genotype-phenotype relationships in a controlled environment. We perform long-term experimental evolution on VIM-2 β-lactamase, an antibiotic-resistance enzyme, to explore the conditions that promote the emergence and maintenance of phenotypic variation. We found that evolution in a static environment with low antibiotic concentrations can promote and maintain significant phenotypic variation within populations. Notably, evolution of VIM-2 under selection with a low antibiotic concentration led to variants that conferred resistance to over 100-fold higher antibiotic concentrations than used in selection. A model based on the previously described threshold-like relationship between enzyme phenotype and fitness generated using VIM-2's all single amino acid variants, sufficiently explains the emergence of standing phenotypic variation under static environmental conditions. Overall, our approach provides a tractable model for studying phenotypic variation and evolvability at the population level.

Nature CommunicationsVol. 15(1)
University of British Columbia (CA), Philipps University of Marburg (DE), Canada's Michael Smith Genome Sciences Centre (CA), Université de Montréal (CA)
Canadian Institutes of Health Research
Zero hunger
Openalex Percentile: Top 9%
Evolution and Genetic Dynamics
2.75
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