Abstract

Citation

Researchers should cite this work as follows:

• Winkle, J. (2023). 2018-Winkle-Igoshin-Bennett-Josic-Ott-Modeling_Mechanical_Interactions_in_Growing_Populations_of_Rod-Shaped_Bacteria. SIMIODE, QUBES Educational Resources. doi:10.25334/72B2-D290

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Winkle, James LJ., Oleg Igoshin, Matthew R. Bennett, Kresimir Josic, and William Ott. 2018. Modeling Mechanical Interactions in Growing Populations of Ros-Shaped Bacteria.  Phys. Biol. 14(5): 1-15. 

See  https://www.ncbi.nlm.nih.gov/pubmed/28649958 . Accessed 8 March 2023.

Abstract: Advances in synthetic biology allow us to engineer bacterial collectives with pre-specified characteristics. However, the behavior of these collectives is difficult to understand, as cellular growth and division as well as extra-cellular fluid flow lead to complex, changing arrangements of cells within the population. To rationally engineer and control the behavior of cell collectives we need theoretical and computational tools to understand their emergent spatiotemporal dynamics. Here, we present an agent-based model that allows growing cells to detect and respond to mechanical interactions. Crucially, our model couples the dynamics of cell growth to the cell’s environment: Mechanical constraints can affect cellular growth rate and a cell may alter its behavior in response to these constraints. This coupling links the mechanical forces that influence cell growth and emergent behaviors in cell assemblies. We illustrate our approach by showing how mechanical interactions can impact the dynamics of bacterial collectives growing in microfluidic traps.

Keywords: population, bacteria, agent-based, cellular growth,