ArticleFrontiers in microbiology2015
Mathematical modeling of dormant cell formation in growing biofilm.
Article in Frontiers in microbiology, 2015. 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.
- Review
- Role of starvation survival response mechanisms on ribosome integrity, antibiotic tolerances, and virulence of Pseudomonas aeruginosa biofilms.NPJ biofilms and microbiomes · 2026Article
- The sleeping bacterium: shedding light on the resuscitation mechanism.European biophysics journal : EBJ · 2026Article
- Effect of biofilm formation on the antimicrobial activity of tigecycline againstFrontiers in microbiology · 2026Article
- Optimization of periodic treatment strategies for bacterial biofilms using an agent-basedJournal of the Royal Society, Interface · 2024Article
- Role of Staphylococcus aureus Formate Metabolism during Prosthetic Joint Infection.Infection and immunity · 2022Article
- Bactericidal and anti-biofilm effects of uncharged and cationic ultrasound-responsive nitric oxide microbubbles onFrontiers in cellular and infection microbiology · 2022Article
- Principles of seed banks and the emergence of complexity from dormancy.Nature communications · 2021Review
- Modeling of Symbiotic Bacterial Biofilm Growth with an Example of the Streptococcus-Veillonella sp. System.Bulletin of mathematical biology · 2021Article
- Structural and metabolic responses of Staphylococcus aureus biofilms to hyperosmotic and antibiotic stress.Biotechnology and bioengineering · 2018Article
- Mesoscopic Energy Minimization Drives Pseudomonas aeruginosa Biofilm Morphologies and Consequent Stratification of Antibiotic Activity Based on Cell Metabolism.Antimicrobial agents and chemotherapy · 2018Article
- 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
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the dynamics of dormant cells in microbial biofilms, in which the bacteria are embedded in extracellular matrix, is important for developing successful antibiotic therapies against pathogenic bacteria. Although some of the molecular mechanisms leading to bacterial persistence have been speculated in planktonic bacterial cell, how dormant cells emerge in the biofilms of pathogenic bacteria such as Pseudomonas aeruginosa remains unclear. The present study proposes four hypotheses of dormant cell formation; stochastic process, nutrient-dependent, oxygen-dependent, and time-dependent processes. These hypotheses were implemented into a three-dimensional individual-based model of biofilm formation. Numerical simulations of the different mechanisms yielded qualitatively different spatiotemporal distributions of dormant cells in the growing biofilm. Based on these simulation results, we discuss what kinds of experimental studies are effective for discriminating dormant cell formation mechanisms in biofilms.
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