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Theoretical modelling of competitive microbial range expansion with heterogeneous mechanical interactions
1Theoretical Physics, Saarland University, Campus E2 6, D-66123 Saarbrücken, Germany.
Physical Biology
|November 16, 2020
Summary
This study models microbial growth, revealing that cell division forces significantly impact colony structure more than cell sorting. Mechanical interactions between strains dictate evolutionary patterns in expanding microbial populations.
Area of Science:
- Microbiology
- Theoretical Biology
- Biophysics
Background:
- Microbial range expansion experiments reveal complex links between population dynamics, structure formation, and evolution.
- Understanding these dynamics is crucial for predicting microbial community behavior.
Purpose of the Study:
- To develop a theoretical model investigating the interplay of growth statistics and mechanical interactions in microbial colonies.
- To analyze how division-driven pushing and cell swapping influence colony structure and evolutionary dynamics.
- To explore the impact of varying division times and mechanical interactions on competitive growth scenarios.
Main Methods:
- Development of a theoretical model for microbial population growth.
- Implementation of cell division-driven pushing and swapping mechanics.
- Simulation of competitive growth between strongly and weakly interacting microbial strains.
- Inclusion of mutating cells to study their influence on colony structure.
Main Results:
- Cell division-induced pushing significantly influences colony structure, more so than cell sorting to the perimeter.
- The relative strengths of mechanical interactions between strains critically affect the outgrowth patterns.
- Experimental patterns observed in Neisseria gonorrhoeae range expansion were reproduced by modeling mutant interactions.
Conclusions:
- Mechanical interactions, particularly cell division forces, are key drivers of pattern formation in microbial range expansions.
- The model accurately predicts colony structures based on the mechanical properties of interacting microbial strains.
- This work provides a framework for understanding evolutionary dynamics in microbial populations driven by mechanical forces.
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