Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies

Journal Article (2022)
Author(s)

Ibrahim E. Elsemman (Technical University of Denmark (DTU))

Angelica Rodriguez Prado (Vrije Universiteit Amsterdam, TU Delft - BT/Industriele Microbiologie)

Pranas Grigaitis (Vrije Universiteit Amsterdam)

Manuel Garcia Albornoz (The University of Manchester)

Victoria Harman (University of Liverpool)

Stephen W. Holman (University of Liverpool)

Johan van Heerden (Vrije Universiteit Amsterdam)

Mark M.M. Bisschops (TU Delft - BT/Industriele Microbiologie)

Pascale Daran-Lapujade (TU Delft - BT/Industriele Microbiologie)

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Research Group
BT/Industriele Microbiologie
DOI related publication
https://doi.org/10.1038/s41467-022-28467-6
More Info
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Publication Year
2022
Language
English
Research Group
BT/Industriele Microbiologie
Issue number
1
Volume number
13
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Abstract

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.