ArticleNature communications2023
Fitness cost associated with cell phenotypic switching drives population diversification dynamics and controllability.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Semi-Artificial Photosynthesis Enables Light-Driven Biomanufacturing in Non-Photosynthetic Bacteria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Stabilization of microbial cell population for long-term plasmid production in continuous biomanufacturing.Bioprocess and biosystems engineering · 2026Article
- Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Overriding Bioprocess Perturbations With a Cell-Machine Interface for Reliable Microbial Stress-Response Control.Microbial biotechnology · 2026Article
- Information and fitness in two-state systems: self-replicating individuals in a fluctuating environment.ArXiv · 2025Article
- Article
- Physiology and Robustness of Yeasts Exposed to Dynamic pH and Glucose Environments.Biotechnology and bioengineering · 2025Article
- Release of extracellular DNA byiScience · 2025Article
- Transferability of bioprocessing modes for recombinant protease production: from fed-batch to continuous cultivation with Bacillus licheniformis.BMC biotechnology · 2025Article
- "Metabolic burden" explained: stress symptoms and its related responses induced by (over)expression of (heterologous) proteins in Escherichia coli.Microbial cell factories · 2024Review
- Quantifying microbial robustness in dynamic environments using microfluidic single-cell cultivation.Microbial cell factories · 2024Article
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Authors and funding
8 authors.
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Abstract
Isogenic cell populations can cope with stress conditions by switching to alternative phenotypes. Even if it can lead to increased fitness in a natural context, this feature is typically unwanted for a range of applications (e.g., bioproduction, synthetic biology, and biomedicine) where it tends to make cellular response unpredictable. However, little is known about the diversification profiles that can be adopted by a cell population. Here, we characterize the diversification dynamics for various systems (bacteria and yeast) and for different phenotypes (utilization of alternative carbon sources, general stress response and more complex development patterns). Our results suggest that the diversification dynamics and the fitness cost associated with cell switching are coupled. To quantify the contribution of the switching cost on population dynamics, we design a stochastic model that let us reproduce the dynamics observed experimentally and identify three diversification regimes, i.e., constrained (at low switching cost), dispersed (at medium and high switching cost), and bursty (for very high switching cost). Furthermore, we use a cell-machine interface called Segregostat to demonstrate that different levels of control can be applied to these diversification regimes, enabling applications involving more precise cellular responses.
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