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

AI Article Synopsis

  • Unicellular organisms adjust their metabolism to manage growth and maintenance when environmental conditions change, involving a re-allocation of resources under specific cellular limitations.
  • A detailed metabolic model of yeast was developed, incorporating reactions related to protein synthesis and degradation, which helps predict metabolic activity and protein expression based on growth optimization.
  • The model reveals that under limited glucose, mitochondrial restrictions affect growth (e.g., the Crabtree effect), while excess sugars lead to constraints on cytosolic volume, influencing metabolic strategies and protein profiles.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831649PMC
http://dx.doi.org/10.1038/s41467-022-28467-6DOI Listing

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