Sign in
Systems BiologymBio
Peer-reviewed journal article

Thermodynamics shape the in vivo enzyme burden of glycolytic pathways

Daven B. KhanaiD, Annie JeniD, Evgenia ShishkovaiD, Kirsten FisheriD, Eashant ThusooiD, Jonathan Williams, Alex Henkel, David M. Stevenson, Joshua J. CooniD, Daniel Amador‐NogueziD

Abstract

Thermodynamically constrained reactions and pathways are hypothesized to impose greater protein demands on cells, requiring higher enzyme amounts to sustain a given flux compared to those with stronger thermodynamics. To test this, we quantified the absolute concentrations of glycolytic enzymes in three bacterial species --Zymomonas mobilis, Escherichia coli, and Clostridium thermocellum-- which employ distinct glycolytic pathways with varying thermodynamic driving forces. By integrating enzyme concentration data with corresponding in vivo metabolic fluxes and{Delta} G measurements, we found that the highly favorable Entner-Doudoroff (ED) pathway in Z. mobilis requires only one-fourth the amount of enzymatic protein to sustain the same flux as the thermodynamically constrained pyrophosphate-dependent glycolytic pathway in C. thermocellum, with the Embden-Meyerhof-Parnas (EMP) pathway in E. coli exhibiting intermediate thermodynamic favorability and enzyme demand. Across all three pathways, early reactions with stronger thermodynamic driving forces generally required lower enzyme investment than later, less favorable steps. Additionally, reflecting differences in glycolytic strategies, the highly reversible ethanol fermentation pathway in C. thermocellum requires 10-fold more protein to maintain the same flux as the irreversible, forward-driven ethanol fermentation pathway in Z. mobilis. Thus, thermodynamic driving forces constitute a major in vivo determinant of the enzyme burden in metabolic pathways.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSun '25Dai '18Law '22Yang '21Noor '24Sharma '26
74% semantic matchSystems Biology
Kai Sun, Weiyan Zheng, Wenchao Fan+3 more·bioRxiv·Sep 29, 2025