Literature DB >> 32694810

An upper limit on Gibbs energy dissipation governs cellular metabolism.

Bastian Niebel1, Simeon Leupold1, Matthias Heinemann2.   

Abstract

The principles governing cellular metabolic operation are poorly understood. Because diverse organisms show similar metabolic flux patterns, we hypothesized that a fundamental thermodynamic constraint might shape cellular metabolism. Here, we develop a constraint-based model for Saccharomyces cerevisiae with a comprehensive description of biochemical thermodynamics including a Gibbs energy balance. Non-linear regression analyses of quantitative metabolome and physiology data reveal the existence of an upper rate limit for cellular Gibbs energy dissipation. By applying this limit in flux balance analyses with growth maximization as the objective function, our model correctly predicts the physiology and intracellular metabolic fluxes for different glucose uptake rates as well as the maximal growth rate. We find that cells arrange their intracellular metabolic fluxes in such a way that, with increasing glucose uptake rates, they can accomplish optimal growth rates but stay below the critical rate limit on Gibbs energy dissipation. Once all possibilities for intracellular flux redistribution are exhausted, cells reach their maximal growth rate. This principle also holds for Escherichia coli and different carbon sources. Our work proposes that metabolic reaction stoichiometry, a limit on the cellular Gibbs energy dissipation rate, and the objective of growth maximization shape metabolism across organisms and conditions.

Entities:  

Keywords:  Flux Balance Analysis (FBA); Gibbs Energy Dissipation; Glucose Uptake Rate (GURs); Quantitative Metabolomics; Stoichiometric Network Model

Mesh:

Substances:

Year:  2019        PMID: 32694810     DOI: 10.1038/s42255-018-0006-7

Source DB:  PubMed          Journal:  Nat Metab        ISSN: 2522-5812


  22 in total

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2.  Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium.

Authors:  Jacob Cook; Samraat Pawar; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2021-12-03       Impact factor: 4.475

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4.  Physical bioenergetics: Energy fluxes, budgets, and constraints in cells.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-29       Impact factor: 11.205

5.  On the design principles of metabolic flux sensing.

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Journal:  Exp Gerontol       Date:  2021-09-26       Impact factor: 4.032

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Journal:  Nat Methods       Date:  2021-07-08       Impact factor: 47.990

Review 8.  Self-Organization and Information Processing: From Basic Enzymatic Activities to Complex Adaptive Cellular Behavior.

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Journal:  Front Genet       Date:  2021-05-21       Impact factor: 4.599

Review 9.  Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective.

Authors:  Anne Richelle; Blandine David; Didier Demaegd; Marianne Dewerchin; Romain Kinet; Angelo Morreale; Rui Portela; Quentin Zune; Moritz von Stosch
Journal:  NPJ Syst Biol Appl       Date:  2020-03-13

10.  Enzyme activities predicted by metabolite concentrations and solvent capacity in the cell.

Authors:  Samuel Britton; Mark Alber; William R Cannon
Journal:  J R Soc Interface       Date:  2020-10-14       Impact factor: 4.118

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