The Ultimate Guide to Bacterial Swarming: An Experimental Model to Study the Evolution of Cooperative Behavior

Annu Rev Microbiol. 2019 Sep 8:73:293-312. doi: 10.1146/annurev-micro-020518-120033. Epub 2019 Jun 10.

Abstract

Cooperation has fascinated biologists since Darwin. How did cooperative behaviors evolve despite the fitness cost to the cooperator? Bacteria have cooperative behaviors that make excellent models to take on this age-old problem from both proximate (molecular) and ultimate (evolutionary) angles. We delve into Pseudomonas aeruginosa swarming, a phenomenon where billions of bacteria move cooperatively across distances of centimeters in a matter of a few hours. Experiments with swarming have unveiled a strategy called metabolic prudence that stabilizes cooperation, have showed the importance of spatial structure, and have revealed a regulatory network that integrates environmental stimuli and direct cooperative behavior, similar to a machine learning algorithm. The study of swarming elucidates more than proximate mechanisms: It exposes ultimate mechanisms valid to all scales, from cells in cancerous tumors to animals in large communities.

Keywords: biofilm; cheater; metabolic prudence; rhamnolipids; sociomicrobiology.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Adaptation, Physiological
  • Gene Expression Regulation, Bacterial
  • Gene Regulatory Networks
  • Locomotion*
  • Microbial Interactions*
  • Models, Theoretical
  • Pseudomonas aeruginosa / growth & development*
  • Pseudomonas aeruginosa / metabolism*