3D Agent-Based Modeling without Chemical Signaling Recreates Collective Behaviors seen in Myxococcus xanthus Colonies
Year: 2025
Type: article
Abstract: Myxococcus xanthus is a soil-dwelling bacterium that lives in dense populations of millions of cells and displays an array of collective behaviors and macroscopic patterns in response to environmental conditions. The transitions between macroscopic patterns formed by this species are driven by changes in cell motility such as increasing Péclet number via increasing cell speed and reversal period. While cells are capable of passing contact-mediated signals that can trigger reversal events, we set out to study which aspects of M. xanthus collective behavior may be driven by simple individual cell behavior changes in the absence of cell signaling. We do this through 3D agent-based simulations with a bead-spring chain model. We find that when tuned to match single cell properties, this model captures multicellular structures observed at both intermediate and global scales in M. xanthus experiments. Increasing cell speed and reversal period together (as cells do when they starve), maintains a constant overall nematic structure in the population, while significantly increasing the net flow into and out of topological defects, which drives an increased aggregation that leads to fruiting body formation during starvation.
Source: PRX Life
DOI: 10.1103/jfqj-2n4q
Institution: Princeton University
Language: English
Topic: Micro and Nano Robotics
Subfield: Condensed Matter Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
Funder: National Science Foundation
OpenAlex ID: W4416890327