Branching processes and bacterial growth
Nathalie Krell (UR)

TL;DR
This paper develops a detailed mathematical model of bacterial growth using branching processes, incorporating cell size, growth rate variability, and different bacterial types, and connects it to growth-fragmentation equations.
Contribution
It introduces a novel branching process model with multiple bacterial types and variable offspring, extending previous models and establishing key properties like the many-to-one formula.
Findings
Model is well-defined and mathematically rigorous.
The mean empirical measure satisfies a growth-fragmentation PDE.
Includes new biological features like cell aging and variable offspring number.
Abstract
We model the growth of a cell population using a piecewise deterministic Markov branching tree. In this model, each cell splits into two offspring at a division rate , which depends on its size . The size of each cell increases exponentially over time, with a growth rate that varies for each individual. Expanding upon the model studied in \cite{hof}, we introduce a scenario with two types of bacteria: those with a young pole and those with an old pole. Additionally, we account for the possibility that a bacterium may not always divide into exactly two offspring. We will demonstrate that our branching process is well-defined and that it satisfies a many-to-one formula. Furthermore, we establish that the mean empirical measure of the model adheres to a growth-fragmentation equation when structured by size, growth rate, and type as state variables.
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Taxonomy
TopicsMicrobial Community Ecology and Physiology
