A reaction-diffusion model for simulating the oscillatory expansion of biofilms

Taishi Mikami, Munehiro Asally, Takeshi Kano, Akio Ishiguro

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Collective dynamics is a behavior of living systems that can improve their survivability in harsh and complex environments. Towards improving the vulnerability of engineering systems against power-source limitations, we focused on an oscillatory-growth dynamics of Bacillus subtilis biofilms. We developed a minimal reaction-diffusion model that captures the essence of the bacterial growth, nutrient consumption and electrical signalling. Numerical simulation of the model successfully recapitulated the oscillatory dynamics of bacterial biofilms. Thus, our model provides a first step forward towards designing biofilm-inspired engineering systems such as swarm robots and power supply networks.

Original languageEnglish
Pages218-219
Number of pages2
Publication statusPublished - 2020
Event2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 - Newcastle upon Tyne, United Kingdom
Duration: 2019 Jul 292019 Aug 2

Conference

Conference2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019
CountryUnited Kingdom
CityNewcastle upon Tyne
Period19/7/2919/8/2

ASJC Scopus subject areas

  • Modelling and Simulation

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    Mikami, T., Asally, M., Kano, T., & Ishiguro, A. (2020). A reaction-diffusion model for simulating the oscillatory expansion of biofilms. 218-219. Paper presented at 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019, Newcastle upon Tyne, United Kingdom.