Genome-derived minimal metabolic models for Escherichia coli MG1655 with estimated in vivo respiratory ATP stoichiometry
Biotechnology and Bioengineering, cilt.107, sa.2, ss.369-381, 2010 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 107 Sayı: 2
- Basım Tarihi: 2010
- Doi Numarası: 10.1002/bit.22802
- Dergi Adı: Biotechnology and Bioengineering
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.369-381
- Anahtar Kelimeler: Energetics, Escherichia coli, Herbert-Pirt relations, Maintenance, P/O ratio, Stoichiometric metabolic model
- Boğaziçi Üniversitesi Adresli: Hayır
Özet
Metabolic network models describing growth of Escherichia coli on glucose, glycerol and acetate were derived from a genome scale model of E. coli. One of the uncertainties in the metabolic networks is the exact stoichiometry of energy generating and consuming processes. Accurate estimation of biomass and product yields requires correct information on the ATP stoichiometry. The unknown ATP stoichiometry parameters of the constructed E. coli network were estimated from experimental data of eight different aerobic chemostat experiments carried out with E. coli MG1655, grown at different dilution rates (0.025, 0.05, 0.1, and 0.3 h-1)and on different carbon substrates (glucose, glycerol, and acetate). Proper estimation of the ATP stoichiometry requires proper information on the biomass composition of the organism as well as accurate assessment of net conversion rates under well-defined conditions. For this purpose a growth rate dependent biomass composition was derived, based on measurements and literature data. After incorporation of the growth rate dependent biomass composition in a metabolic network model, an effective P/O ratio of 1.49 ± 0.26mol of ATP/mol of O, KX (growth dependent maintenance) of 0.46 ± 0.27 mol of ATP/C-mol of biomass and mATP (growth independent maintenance) of 0.075 ± 0.015 mol of ATP/C-mol of biomass/h were estimated using a newly developed Comprehensive Data Reconciliation (CDR) method, assuming that the three energetic parameters were independent of the growth rate and the used substrate. The resulting metabolic network model only requires the specific rate of growth, μ, as an input in order to accurately predict all other fluxes and yields. © 2010 Wiley Periodicals, Inc.