Based on Genome-Derived Minimal Metabolic Models of MG1655 Escherichia Coli, the in-Vivo Respiratory ATP Stoichiometry
European Commission DG Research and Innovation, Brussels, Belgium.
Citation: HuanLinyan, Yu Li, A. Malyska, “ Based on Genome-Derived Minimal Metabolic Models of MG1655 Escherichia
Coli, the in-Vivo Respiratory ATP Stoichiometry”, American Research Journal of Biotechnology, Vol 1, no. 1, 2022, pp.
15-23.
Abstract
Using this model, metabolic network models for E. coli growth on glucose, glycogen, and anaerobic substrates were
constructed. The stoichiometry of energy generation and consumption in the metabolic network remains a mystery.
Predicting the amount of biomass and the amount of products that can be made from that biomass is key to creating
accurate projections. The E. coli network’s unknown ATP stoichiometry values were estimated via eight experiments
using E. coli MG1655, cultured at various dilution rates (0.025, 0.05, 0.1, and 0.3 h 1). Sugars (Glucose, glycerol and
acetate), To accurately calculate the ATP stoichiometry, a precise biomass composition and net conversion rate estimate
must be made under well-defined conditions. In order to build a biomass composition that is influenced by growth rate,
observations and literature were employed It was found that an effective P/O ratio of 1.49 molar ATP to mole oxygen was
predicted by metabolic network modeling, as was an effective growth-dependent maintenance rate of 0.46 molar ADP per
C-mol of biomass and an independent growth rate (mATP) of 0.75-0.015 molar ADP/Cmol/h.
