An off-lattice discrete model to characterise filamentous yeast colony morphology

PLoS Comput Biol. 2024 Nov 21;20(11):e1012605. doi: 10.1371/journal.pcbi.1012605. eCollection 2024 Nov.

Abstract

We combine an off-lattice agent-based mathematical model and experimentation to explore filamentous growth of a yeast colony. Under environmental stress, Saccharomyces cerevisiae yeast cells can transition from a bipolar (sated) to unipolar (pseudohyphal) budding mechanism, where cells elongate and bud end-to-end. This budding asymmetry yields spatially non-uniform growth, where filaments extend away from the colony centre, foraging for food. We use approximate Bayesian computation to quantify how individual cell budding mechanisms give rise to spatial patterns observed in experiments. We apply this method of parameter inference to experimental images of colonies of two strains of S. cerevisiae, in low and high nutrient environments. The colony size at the transition from sated to pseudohyphal growth, and a forking mechanism for pseudohyphal cell proliferation are the key features driving colony morphology. Simulations run with the most likely inferred parameters produce colony morphologies that closely resemble experimental results.

MeSH terms

  • Bayes Theorem
  • Computational Biology
  • Computer Simulation
  • Models, Biological*
  • Saccharomyces cerevisiae* / cytology
  • Saccharomyces cerevisiae* / growth & development

Grants and funding

KL acknowledges funding from the Australian Government through a Research Training Programme Scholarship. BJB, JEFG, AKYT, and VJ acknowledge funding from the Australian Research Council (Grant numbers DP230100406). In addition, AKYT would like to acknowledge funding from the Australian Research Council (DE240100897). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.