Continuous and discrete models of cooperation in complex bacterial colonies

TL;DR

This paper compares continuous and discrete models of bacterial colony patterning, finding that discreteness has minimal impact on growth dynamics and pattern formation, and that certain model modifications do not significantly alter outcomes.

Contribution

It introduces and compares hybrid and reaction-diffusion models, showing that discreteness effects are negligible for pattern dynamics in bacterial colonies.

Findings

Discreteness does not improve model accuracy.

Cutoff in growth term reduces surface tension but has limited effects.

Models respond similarly to chemotactic signals.

Abstract

We study the effect of discreteness on various models for patterning in bacterial colonies. In a bacterial colony with branching pattern, there are discrete entities - bacteria - which are only two orders of magnitude smaller than the elements of the macroscopic pattern. We present two types of models. The first is the Communicating Walkers model, a hybrid model composed of both continuous fields and discrete entities - walkers, which are coarse-graining of the bacteria. Models of the second type are systems of reaction diffusion equations, where the branching of the pattern is due to non-constant diffusion coefficient of the bacterial field. The diffusion coefficient represents the effect of self-generated lubrication fluid on the bacterial movement. We implement the discreteness of the biological system by introducing a cutoff in the growth term at low bacterial densities. We demonstrate that the cutoff does not improve the models in any way. Its only effect is to decrease the effective surface tension of the front, making it more sensitive to anisotropy. We compare the models by introducing food chemotaxis and repulsive chemotactic signaling into the models. We find that the growth dynamics of the Communication Walkers model and the growth dynamics of the Non-Linear diffusion model are affected in the same manner. From such similarities and from the insensitivity of the Communication Walkers model to implicit anisotropy we conclude that the increased discreteness, introduced be the coarse-graining of the walkers, is small enough to be neglected.