Reaction–Diffusion Modeling of E. coli Colony Growth Based on Nutrient Distribution and Agar Dehydration

Changhan He, Lifeng Han, Duane C. Harris, Samat Bayakhmetov, Xiao Wang, Yang Kuang

Research output: Contribution to journalArticlepeer-review

Abstract

The bacterial colony is a powerful experimental platform for broad biological research, and reaction–diffusion models are widely used to study the mechanisms of its formation process. However, there are still some crucial factors that drastically affect the colony growth but are not considered in the current models, such as the non-homogeneously distributed nutrient within the colony and the substantially decreasing expansion rate caused by agar dehydration. In our study, we propose two plausible reaction–diffusion models (the VN and MVN models) based on the above two factors and validate them against experimental data. Both models provide a plausible description of the non-homogeneously distributed nutrient within the colony and outperform the classical Fisher–Kolmogorov equation and its variation in better describing experimental data. Moreover, by accounting for agar dehydration, the MVN model captures how a colony’s expansion slows down and the change of a colony’s height profile over time. Furthermore, we demonstrate the existence of a traveling wave solution for the VN model.

Original languageEnglish (US)
Article number61
JournalBulletin of mathematical biology
Volume85
Issue number7
DOIs
StatePublished - Jul 2023

Keywords

  • Bacterial colony
  • Mathematical modeling
  • Nutrient distribution
  • Reaction–diffusion models
  • Traveling wave

ASJC Scopus subject areas

  • General Neuroscience
  • Immunology
  • General Mathematics
  • General Biochemistry, Genetics and Molecular Biology
  • General Environmental Science
  • Pharmacology
  • General Agricultural and Biological Sciences
  • Computational Theory and Mathematics

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