A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations

Open Access
Authors
  • Marco Vanoni
  • Pasquale Palumbo
  • Federico Papa
  • Stefano Busti
  • Laura Gotti
  • Meike Wortel ORCID logo
  • Bas Teusink
  • Ivan Orlandi
  • Alex Pessina
  • Cristina Airoldi
  • Luca Brambilla
  • Marina Vai
  • Lilia Alberghina
Publication date 07-2025
Journal PLoS Computational Biology
Article number e1013296
Volume | Issue number 21 | 7
Number of pages 33
Organisations
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
Abstract
For unicellular organisms, the reproduction rate and growth are crucial fitness determinants and functional manifestations of the organism genotype. Using the budding yeast Saccharomyces cerevisiae as a model organism, we integrated metabolism, which provides energy and building blocks for growth, with cell mass growth and cell cycle progression into a low-granularity, multiscale (from cell to population) computational model. This model predicted that cells with constitutive respiration do not modulate cell size according to the growth conditions. We experimentally validated the model predictions using mutants with defects in the upper part of glycolysis or glucose transport. Plugging in molecular details of cellular subsystems allowed us to refine predictions from the cellular to the molecular level. Our hybrid multiscale modeling approach provides a framework for structuring molecular knowledge and predicting cell phenotypes under various genetic and environmental conditions.
Document type Article
Language English
Published at https://doi.org/10.1371/journal.pcbi.1013296
Other links https://www.scopus.com/pages/publications/105011514674
Downloads
Supplementary materials
Permalink to this page
Back