PLoS Computational Biology (Dec 2007)

Social interactions in myxobacterial swarming.

  • Yilin Wu,
  • Yi Jiang,
  • Dale Kaiser,
  • Mark Alber

DOI
https://doi.org/10.1371/journal.pcbi.0030253
Journal volume & issue
Vol. 3, no. 12
p. e253

Abstract

Read online

Swarming, a collective motion of many thousands of cells, produces colonies that rapidly spread over surfaces. In this paper, we introduce a cell-based model to study how interactions between neighboring cells facilitate swarming. We chose to study Myxococcus xanthus, a species of myxobacteria, because it swarms rapidly and has well-defined cell-cell interactions mediated by type IV pili and by slime trails. The aim of this paper is to test whether the cell contact interactions, which are inherent in pili-based S motility and slime-based A motility, are sufficient to explain the observed expansion of wild-type swarms. The simulations yield a constant rate of swarm expansion, which has been observed experimentally. Also, the model is able to quantify the contributions of S motility and A motility to swarming. Some pathogenic bacteria spread over infected tissue by swarming. The model described here may shed some light on their colonization process.