Emergence of Orchestrated and Dynamic Metabolism of Saccharomyces cerevisiae

Viviana Nguyen, Yifei Li, Ting Lu

Research output: Contribution to journalArticlepeer-review


Microbial metabolism is a fundamental cellular process that involves many biochemical events and is distinguished by its emergent properties. While the molecular details of individual reactions have been increasingly elucidated, it is not well understood how these reactions are quantitatively orchestrated to produce collective cellular behaviors. Here we developed a coarse-grained, systems, and dynamic mathematical framework, which integrates metabolic reactions with signal transduction and gene regulation to dissect the emergent metabolic traits of Saccharomyces cerevisiae. Our framework mechanistically captures a set of characteristic cellular behaviors, including the Crabtree effect, diauxic shift, diauxic lag time, and differential growth under nutrient-altered environments. It also allows modular expansion for zooming in on specific pathways for detailed metabolic profiles. This study provides a systems mathematical framework for yeast metabolic behaviors, providing insights into yeast physiology and metabolic engineering.

Original languageEnglish (US)
Pages (from-to)1442-1453
Number of pages12
JournalACS synthetic biology
Issue number5
StatePublished - May 17 2024


  • Saccharomyces cerevisiae
  • complexity, and emergence
  • mathematical modeling
  • microbial metabolism
  • systems biology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)


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