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Emergence of Orchestrated and Dynamic Metabolism of Saccharomyces cerevisiae

Journal Article · · ACS Synthetic Biology
 [1];  [2];  [2]
  1. University of Illinois Urbana-Champaign, IL (United States); University of Illinois Urbana-Champaign
  2. University of Illinois Urbana-Champaign, IL (United States)
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. Furthermore, this study provides a systems mathematical framework for yeast metabolic behaviors, providing insights into yeast physiology and metabolic engineering.
Research Organization:
Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0018420
OSTI ID:
2377403
Journal Information:
ACS Synthetic Biology, Journal Name: ACS Synthetic Biology Journal Issue: 5 Vol. 13; ISSN 2161-5063
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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