ArticleJournal of the Royal Society, Interface2015
Branching instability in expanding bacterial colonies.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Parallel evolution of alternate morphotypes of Chryseobacterium gleum during experimental evolution with Caenorhabditis elegans.FEMS microbiology ecology · 2024Article
- Swarming ofBiophysics reviews · 2023Review
- BMX: Biological modelling and interface exchange.Scientific reports · 2023Article
- Geometrical control of interface patterning underlies active matter invasion.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations.ACS synthetic biology · 2022Article
- Morphological instability and roughening of growing 3D bacterial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Dependency of active pressure and equation of state on stiffness of wall.Scientific reports · 2021Article
- Programming cell growth into different cluster shapes using diffusible signals.PLoS computational biology · 2021Article
- A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS).Nature protocols · 2021Article
- Collective colony growth is optimized by branching pattern formation in Pseudomonas aeruginosa.Molecular systems biology · 2021Article
- Article
- Geodesic Loewner paths with varying boundary conditions.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
- Bacterial surface motility is modulated by colony-scale flow and granular jamming.Journal of the Royal Society, Interface · 2020Article
- A thin-film extensional flow model for biofilm expansion by sliding motility.Proceedings. Mathematical, physical, and engineering sciences · 2019Article
- Diffusion-Limited Growth of Microbial Colonies.Scientific reports · 2018Article
- Quantifying the dominant growth mechanisms of dimorphic yeast using a lattice-based model.Journal of the Royal Society, Interface · 2017Article
- Influence of Physical Effects on the Swarming Motility of Pseudomonas aeruginosa.Biophysical journal · 2017Article
- On the morphological stability of multicellular tumour spheroids growing in porous media.The European physical journal. E, Soft matter · 2016Article
- Tumour angiogenesis as a chemo-mechanical surface instability.Scientific reports · 2016Article
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3 authors.
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Abstract
Self-organization in developing living organisms relies on the capability of cells to duplicate and perform a collective motion inside the surrounding environment. Chemical and mechanical interactions coordinate such a cooperative behaviour, driving the dynamical evolution of the macroscopic system. In this work, we perform an analytical and computational analysis to study pattern formation during the spreading of an initially circular bacterial colony on a Petri dish. The continuous mathematical model addresses the growth and the chemotactic migration of the living monolayer, together with the diffusion and consumption of nutrients in the agar. The governing equations contain four dimensionless parameters, accounting for the interplay among the chemotactic response, the bacteria-substrate interaction and the experimental geometry. The spreading colony is found to be always linearly unstable to perturbations of the interface, whereas branching instability arises in finite-element numerical simulations. The typical length scales of such fingers, which align in the radial direction and later undergo further branching, are controlled by the size parameters of the problem, whereas the emergence of branching is favoured if the diffusion is dominant on the chemotaxis. The model is able to predict the experimental morphologies, confirming that compact (resp. branched) patterns arise for fast (resp. slow) expanding colonies. Such results, while providing new insights into pattern selection in bacterial colonies, may finally have important applications for designing controlled patterns.
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