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.
| Original language | English |
|---|---|
| Article number | e1013296 |
| Pages (from-to) | 1-33 |
| Number of pages | 33 |
| Journal | PLoS Computational Biology |
| Volume | 21 |
| Issue number | 7 |
| Early online date | 21 Jul 2025 |
| DOIs | |
| Publication status | Published - Jul 2025 |
Bibliographical note
Publisher Copyright:© 2025 Vanoni et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding
Funding: This work was supported by grants to the ISBE-SYSBIO infrastructure to LA and MV. The study also received financial support from the Italian Ministry of University and Research (MIUR) through the grant "Dipartimenti di Eccellenza - 2017" to the University of Milano-Bicocca, Department of Biotechnology and Biosciences, coordinated by MV, and from ”ELIXIRxNextGenerationIT” (Code IR0000010)-CUP B53C22001800006 to MV. F. P. and S. B. were partially supported by ISBE-SYSBIO. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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