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

Taishi Mikami; Munehiro Asally; Takeshi Kano; Akio Ishiguro

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

Taishi Mikami, Munehiro Asally, Takeshi Kano, Akio Ishiguro

Human Information Systems Division

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	218-219
Number of pages	2
Publication status	Published - 2020
Event	2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 - Newcastle upon Tyne, United Kingdom Duration: 2019 Jul 29 → 2019 Aug 2

Conference

Conference	2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019
Country	United Kingdom
City	Newcastle upon Tyne
Period	19/7/29 → 19/8/2

ASJC Scopus subject areas

Modelling and Simulation

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A reaction-diffusion model for simulating the oscillatory expansion of biofilms. / Mikami, Taishi; Asally, Munehiro; Kano, Takeshi ; Ishiguro, Akio.

2020. 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.

Research output: Contribution to conference › Paper › peer-review

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