Literature DB >> 30855227

Spatiotemporal establishment of dense bacterial colonies growing on hard agar.

Mya R Warren1, Hui Sun1,2,3, Yue Yan2,4, Jonas Cremer1, Bo Li2, Terence Hwa1.   

Abstract

The physical interactions of growing bacterial cells with each other and with their surroundings significantly affect the structure and dynamics of biofilms. Here a 3D agent-based model is formulated to describe the establishment of simple bacterial colonies expanding by the physical force of their growth. With a single set of parameters, the model captures key dynamical features of colony growth by non-motile, non EPS-producing E. coli cells on hard agar. The model, supported by experiment on colony growth in different types and concentrations of nutrients, suggests that radial colony expansion is not limited by nutrients as commonly believed, but by mechanical forces. Nutrient penetration instead governs vertical colony growth, through thin layers of vertically oriented cells lifting up their ancestors from the bottom. Overall, the model provides a versatile platform to investigate the influences of metabolic and environmental factors on the growth and morphology of bacterial colonies.
© 2019, Warren et al.

Entities:  

Keywords:  E. coli; bacterial colony; cell growth; computational biology; computational modeling; systems biology

Mesh:

Substances:

Year:  2019        PMID: 30855227      PMCID: PMC6411370          DOI: 10.7554/eLife.41093

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  61 in total

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2.  Particle-based multidimensional multispecies biofilm model.

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4.  Three-dimensional biofilm model with individual cells and continuum EPS matrix.

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Authors:  James N Wilking; Vasily Zaburdaev; Michael De Volder; Richard Losick; Michael P Brenner; David A Weitz
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8.  Vibrio cholerae biofilm growth program and architecture revealed by single-cell live imaging.

Authors:  Jing Yan; Andrew G Sharo; Howard A Stone; Ned S Wingreen; Bonnie L Bassler
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10.  Individual-based modelling of biofilms.

Authors:  J U Kreft; C Picioreanu; J W Wimpenny; M C van Loosdrecht
Journal:  Microbiology       Date:  2001-11       Impact factor: 2.777

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8.  Pareto optimality between growth-rate and lag-time couples metabolic noise to phenotypic heterogeneity in Escherichia coli.

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9.  Challenges of analysing stochastic gene expression in bacteria using single-cell time-lapse experiments.

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10.  Environmental heterogeneity can tip the population genetics of range expansions.

Authors:  Matti Gralka; Oskar Hallatschek
Journal:  Elife       Date:  2019-04-12       Impact factor: 8.140

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