ArticleTheoretical biology & medical modelling2013
Agent-based modeling of competence phenotype switching in Bacillus subtilis.
Article in Theoretical biology & medical modelling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Surfactin-Like Lipopeptides FromFrontiers in bioengineering and biotechnology · 2021Pooled it
- Molecular mechanisms and applications of natural transformation in bacteria.Frontiers in microbiology · 2025Review
- Research advances in the identification of regulatory mechanisms of surfactin production by Bacillus: a review.Microbial cell factories · 2024Review
- Molecular genetics of surfactin and its effects on different sub-populations ofBiotechnology reports (Amsterdam, Netherlands) · 2021Review
- Agent-based spatiotemporal simulation of biomolecular systems within the open source MASON framework.BioMed research international · 2015Article
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Authors and funding
2 authors.
Funding
Abstract
backgroundIt is a fascinating phenomenon that in genetically identical bacteria populations of Bacillus subtilis, a distinct DNA uptake phenotype called the competence phenotype may emerge in 10-20% of the population. Many aspects of the phenomenon are believed to be due to the variable expression of critical genes: a stochastic occurrence termed "noise" which has made the phenomenon difficult to examine directly by lab experimentation.
methodsTo capture and model noise in this system and further understand the emergence of competence both at the intracellular and culture levels in B. subtilis, we developed a novel multi-scale, agent-based model. At the intracellular level, our model recreates the regulatory network involved in the competence phenotype. At the culture level, we simulated growth conditions, with our multi-scale model providing feedback between the two levels.
resultsOur model predicted three potential sources of genetic "noise". First, the random spatial arrangement of molecules may influence the manifestation of the competence phenotype. In addition, the evidence suggests that there may be a type of epigenetic heritability to the emergence of competence, influenced by the molecular concentrations of key competence molecules inherited through cell division. Finally, the emergence of competence during the stationary phase may in part be due to the dilution effect of cell division upon protein concentrations.
conclusionsThe competence phenotype was easily translated into an agent-based model - one with the ability to illuminate complex cell behavior. Models such as the one described in this paper can simulate cell behavior that is otherwise unobservable in vivo, highlighting their potential usefulness as research tools.
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