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June 27, 2026Journal of Mathematical BiologyOpen Access

Phenotypic plasticity trade-offs in an age-structured model of bacterial growth under stress

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Authors

MKMeriem El KarouiIMIgnacio MadridSMSylvie Méléard

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Overview

Randomized trial reveals trade-offs in bacterial growth under antibiotic stress, suggesting optimization strategies.

Key Points

  • This research aims to explore the trade-offs in bacterial growth dynamics under stress from antibiotics.
  • Developed a bi-type age-structured population model to represent E. coli under antibiotic stress.
  • Analyzed survival probability and population growth rate in constant and periodic environments.
  • Examined the effects of phenotypic plasticity on fitness metrics through both stochastic and deterministic approaches.
  • Found that the trade-off between survival probability and growth rate varies significantly under different modeling approaches.
  • Demonstrated that optimal population growth requires simultaneous optimization of stress response induction and repair efficiency.
  • Indicated that under periodic stress, simply relying on the SOS response is insufficient for maximizing growth.

Cite This Study

Karoui et al. (2026) studied this question.

synapsesocial.com/papers/6a3f6772aea7db3c1953edddhttps://doi.org/10.1007/s00285-026-02396-0
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