Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies
Journal article, 2022

When conditions change, unicellular organisms rewire their metabolism to sustain cell maintenance and cellular growth. Such rewiring may be understood as resource re-allocation under cellular constraints. Eukaryal cells contain metabolically active organelles such as mitochondria, competing for cytosolic space and resources, and the nature of the relevant cellular constraints remain to be determined for such cells. Here, we present a comprehensive metabolic model of the yeast cell, based on its full metabolic reaction network extended with protein synthesis and degradation reactions. The model predicts metabolic fluxes and corresponding protein expression by constraining compartment-specific protein pools and maximising growth rate. Comparing model predictions with quantitative experimental data suggests that under glucose limitation, a mitochondrial constraint limits growth at the onset of ethanol formation-known as the Crabtree effect. Under sugar excess, however, a constraint on total cytosolic volume dictates overflow metabolism. Our comprehensive model thus identifies condition-dependent and compartment-specific constraints that can explain metabolic strategies and protein expression profiles from growth rate optimisation, providing a framework to understand metabolic adaptation in eukaryal cells.

Author

Ibrahim El-Semman

Technical University of Denmark (DTU)

Assiut University

Angelica Rodriguez Prado

Vrije Universiteit Amsterdam

Delft University of Technology

Pranas Grigaitis

Vrije Universiteit Amsterdam

Manuel Garcia

University of Manchester

Victoria Harman

University of Liverpool

Stephen W. Holman

University of Liverpool

Johan van Heerden

Vrije Universiteit Amsterdam

Frank J. Bruggeman

Vrije Universiteit Amsterdam

Mark Bisschops

Delft University of Technology

N. Sonnenschein

Technical University of Denmark (DTU)

Simon Hubbard

University of Manchester

Rob Beynon

University of Liverpool

P. Daran-Lapujade

Delft University of Technology

Jens B Nielsen

Technical University of Denmark (DTU)

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

B. Teusink

Vrije Universiteit Amsterdam

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 13 1 801

Subject Categories

Cell Biology

Biochemistry and Molecular Biology

Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

DOI

10.1038/s41467-022-28467-6

PubMed

35145105

More information

Latest update

2/24/2022