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Related Experiment Video

Updated: Jun 1, 2026

Quantification of Interbacterial Competition using Single-Cell Fluorescence Imaging

Quantification of Interbacterial Competition using Single-Cell Fluorescence Imaging

Published on: September 2, 2021

Competition between microorganisms for a single limiting resource with cell quota structure and spatial variation.

James P Grover¹, Sze-Bi Hsu, Feng-Bin Wang

¹Department of Biology and Program in Environmental and Earth Sciences, University of Texas at Arlington, P.O. Box 19498, Arlington, USA. grover@uta.edu

Journal of Mathematical Biology

|May 24, 2011

Summary

Microbial competition models were enhanced by considering cell size and unstirred habitats. This size-structured model predicts coexistence in chemostats, unlike simpler models.

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Area of Science:

Microbial ecology
Mathematical biology
Population dynamics

Background:

Traditional competition models often simplify microbial populations by ignoring cell size variation and assuming uniform habitats.
These simplifications limit the accurate prediction of competitive exclusion and coexistence dynamics.

Purpose of the Study:

To develop and analyze a size-structured mathematical model for microbial competition.
To investigate the impact of cell size variation and unstirred chemostat habitats on competitive outcomes.

Main Methods:

A size-structured model was developed, linking nutrient content to cell size and incorporating diffusion in an unstirred chemostat.
Mathematical analysis, focusing on a principal eigenvalue, was used to determine competitive exclusion and coexistence conditions.

Main Results:

In uniform habitats, the size-structured model predicts competitive exclusion, favoring the species with the lowest break-even concentration.
In unstirred chemostats, coexistence is possible if one species has a lower break-even concentration and another exhibits faster growth.

Conclusions:

Cell size and habitat structure significantly influence microbial competition outcomes.
The principal eigenvalue is a key parameter for predicting competitive dynamics in various microbial environments.