Idiosyncratic evolvability among single-point ribosomal mutants towards multi-aminoglycoside resistance

Newly-arising mutations can impact not only fitness but also an organism's capacity for further adaptation (i.e., its evolvability). Understanding what determines evolvability differences is of great interest from both fundamental and applied perspectives. A general pattern observed across multiple microbes is that evolvability tends to decline with genotype fitness (i.e., the "rule of declining adaptability"), typically attributed to epistatic rather than mutational differences among genotypes. Here, we investigate whether common rpsL point mutations in Escherichia coli, conferring streptomycin resistance, may potentiate or hinder adaptation towards secondary aminoglycosides. We find a version of the rule of declining adaptability in which initially more-fit genotypes experience higher effective beneficial mutation rates but smaller effect sizes than their less-fit counterparts. Genome sequencing reveals the ribosome and electron transport chain as primary targets for adaptation. Second-step mutations typically confer cross-resistance across aminoglycosides, and some even restore fitness costs in the absence of drugs. However, some genotypes deviate markedly from the overall pattern, being completely unable to develop resistance to the secondary aminoglycosides. Such idiosyncratic dead-ends, if common among other systems involving single-point mutants, would expand the pool of potential targets for strategies to promote evolutionary robustness in biotechnology and combat multidrug resistance in clinical microbiology.

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Publication Details

Journal
PLoS Genetics
Published
2025-08-25
DOI
https://doi.org/10.1371/journal.pgen.1011832
Citations
2
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
3.63

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article

Idiosyncratic evolvability among single-point ribosomal mutants towards multi-aminoglycoside resistance

Alejandro Couce, Guillem August Devin, Laura Sánchez-Maroto, Pablo Gella
2 citations
PLoS Genetics
Evolution and Genetic Dynamics
3.63
article

Idiosyncratic evolvability among single-point ribosomal mutants towards multi-aminoglycoside resistance

Alejandro Couce, Guillem August Devin, Laura Sánchez-Maroto, Pablo Gella
article en
2 citations

Abstract

Newly-arising mutations can impact not only fitness but also an organism's capacity for further adaptation (i.e., its evolvability). Understanding what determines evolvability differences is of great interest from both fundamental and applied perspectives. A general pattern observed across multiple microbes is that evolvability tends to decline with genotype fitness (i.e., the "rule of declining adaptability"), typically attributed to epistatic rather than mutational differences among genotypes. Here, we investigate whether common rpsL point mutations in Escherichia coli, conferring streptomycin resistance, may potentiate or hinder adaptation towards secondary aminoglycosides. We find a version of the rule of declining adaptability in which initially more-fit genotypes experience higher effective beneficial mutation rates but smaller effect sizes than their less-fit counterparts. Genome sequencing reveals the ribosome and electron transport chain as primary targets for adaptation. Second-step mutations typically confer cross-resistance across aminoglycosides, and some even restore fitness costs in the absence of drugs. However, some genotypes deviate markedly from the overall pattern, being completely unable to develop resistance to the secondary aminoglycosides. Such idiosyncratic dead-ends, if common among other systems involving single-point mutants, would expand the pool of potential targets for strategies to promote evolutionary robustness in biotechnology and combat multidrug resistance in clinical microbiology.

PLoS GeneticsVol. 21(8)
Universidad Rey Juan Carlos (ES), Centre for Plant Biotechnology and Genomics (ES), Universidad Politécnica de Madrid (ES)
Comunidad de Madrid, Agencia Estatal de Investigación
Openalex Percentile: Top 7%
Evolution and Genetic Dynamics
3.63
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