ArticleMicrobial biotechnology2017
Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments.
Article in Microbial biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Seeing Bacterial Persistence Through Different Experimental Lenses: How Methodology Shapes Biological Interpretation.Pathogens (Basel, Switzerland) · 2026Review
- Regulatory time-kill sequencing maps antibiotic-specific transcriptional control ofFrontiers in microbiology · 2026Article
- Optimization of periodic treatment strategies for bacterial biofilms using an agent-basedJournal of the Royal Society, Interface · 2024Article
- Eradication of Drug-TolerantMicroorganisms · 2023Review
- Systematic design of pulse dosing to eradicate persister bacteria.PLoS computational biology · 2023Article
- Assessing the relative importance of bacterial resistance, persistence and hyper-mutation for antibiotic treatment failure.Proceedings. Biological sciences · 2022Article
- Loss of RNase J leads to multi-drug tolerance and accumulation of highly structured mRNA fragments in Mycobacterium tuberculosis.PLoS pathogens · 2022Article
- Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy.Biomolecules · 2021Article
- Antibiotic resilience: a necessary concept to complement antibiotic resistance?Proceedings. Biological sciences · 2019Article
- Power-law tail in lag time distribution underlies bacterial persistence.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Identifying determinants of persistent MRSA bacteremia using mathematical modeling.PLoS computational biology · 2019Article
- How do environment-dependent switching rates between susceptible and persister cells affect the dynamics of biofilms faced with antibiotics?NPJ biofilms and microbiomes · 2018Article
- Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments.Microbial biotechnology · 2017Article
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Authors and funding
5 authors.
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Abstract
We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as biofilms. Our models are extensions of a previous model of the dynamics of normal and persistent cell populations developed by Balaban et al. (2004, Science 305: 1622). We calibrated the models' parameters with experimental killing curves obtained after ciprofloxacin treatment of samples regularly harvested from planktonic batch cultures of Klebsiella pneumoniae. Our switching models accurately reproduced the dynamics of normal and persistent populations in planktonic batch cultures and under antibiotic treatment. Results showed that the models are valid for a large range of substrate concentrations and for zero or high doses of antibiotics.
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