Putting theory to the test: An integrated computational/experimental chemostat model of the tragedy of the commons

PLoS One. 2024 Apr 10;19(4):e0300887. doi: 10.1371/journal.pone.0300887. eCollection 2024.

Abstract

Cooperation via shared public goods is ubiquitous in nature, however, noncontributing social cheaters can exploit the public goods provided by cooperating individuals to gain a fitness advantage. Theory predicts that this dynamic can cause a Tragedy of the Commons, and in particular, a 'Collapsing' Tragedy defined as the extinction of the entire population if the public good is essential. However, there is little empirical evidence of the Collapsing Tragedy in evolutionary biology. Here, we experimentally demonstrate this outcome in a microbial model system, the public good-producing bacterium Pseudomonas aeruginosa grown in a continuous-culture chemostat. In a growth medium that requires extracellular protein digestion, we find that P. aeruginosa populations maintain a high density when entirely composed of cooperating, protease-producing cells but completely collapse when non-producing cheater cells are introduced. We formulate a mechanistic mathematical model that recapitulates experimental observations and suggests key parameters, such as the dilution rate and the cost of public good production, that define the stability of cooperative behavior. We combine model prediction with experimental validation to explain striking differences in the long-term cheater trajectories of replicate cocultures through mutational events that increase cheater fitness. Taken together, our integrated empirical and theoretical approach validates and parametrizes the Collapsing Tragedy in a microbial population, and provides a quantitative, mechanistic framework for generating testable predictions of social behavior.

MeSH terms

  • Bacteria*
  • Biological Evolution
  • Cooperative Behavior*
  • Humans
  • Models, Biological
  • Pseudomonas aeruginosa
  • Social Behavior

Grants and funding

This study was supported by National Science Foundation grants MCB1616967 and 2106212 (to M.S.), and by the Larry W. Martin and Joyce B. O'Neill Endowed Fellowship (to B.L.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.