Literature DB >> 19646545

Application of dynamic flux balance analysis to an industrial Escherichia coli fermentation.

Adam L Meadows1, Rahi Karnik, Harry Lam, Sean Forestell, Brad Snedecor.   

Abstract

We have developed a reactor-scale model of Escherichia coli metabolism and growth in a 1000 L process for the production of a recombinant therapeutic protein. The model consists of two distinct parts: (1) a dynamic, process specific portion that describes the time evolution of 37 process variables of relevance and (2) a flux balance based, 123-reaction metabolic model of E. coli metabolism. This model combines several previously reported modeling approaches including a growth rate-dependent biomass composition, maximum growth rate objective function, and dynamic flux balancing. In addition, we introduce concentration-dependent boundary conditions of transport fluxes, dynamic maintenance demands, and a state-dependent cellular objective. This formulation was able to describe specific runs with high-fidelity over process conditions including rich media, simultaneous acetate and glucose consumption, glucose minimal media, and phosphate depleted media. Furthermore, the model accurately describes the effect of process perturbations--such as glucose overbatching and insufficient aeration--on growth, metabolism, and titer. (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19646545     DOI: 10.1016/j.ymben.2009.07.006

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  24 in total

Review 1.  Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors.

Authors:  Ross P Carlson; Reed L Taffs
Journal:  Curr Opin Biotechnol       Date:  2010-07-14       Impact factor: 9.740

Review 2.  Genome-scale modelling of microbial metabolism with temporal and spatial resolution.

Authors:  Michael A Henson
Journal:  Biochem Soc Trans       Date:  2015-12       Impact factor: 5.407

3.  Antimalarial drug targets in Plasmodium falciparum predicted by stage-specific metabolic network analysis.

Authors:  Carola Huthmacher; Andreas Hoppe; Sascha Bulik; Hermann-Georg Holzhütter
Journal:  BMC Syst Biol       Date:  2010-08-31

Review 4.  Dynamic flux balance analysis for synthetic microbial communities.

Authors:  Michael A Henson; Timothy J Hanly
Journal:  IET Syst Biol       Date:  2014-10       Impact factor: 1.615

5.  Expanding a dynamic flux balance model of yeast fermentation to genome-scale.

Authors:  Felipe A Vargas; Francisco Pizarro; J Ricardo Pérez-Correa; Eduardo Agosin
Journal:  BMC Syst Biol       Date:  2011-05-19

Review 6.  Bridging the gap between fluxomics and industrial biotechnology.

Authors:  Xueyang Feng; Lawrence Page; Jacob Rubens; Lauren Chircus; Peter Colletti; Himadri B Pakrasi; Yinjie J Tang
Journal:  J Biomed Biotechnol       Date:  2011-01-02

7.  Integrating flux balance analysis into kinetic models to decipher the dynamic metabolism of Shewanella oneidensis MR-1.

Authors:  Xueyang Feng; You Xu; Yixin Chen; Yinjie J Tang
Journal:  PLoS Comput Biol       Date:  2012-02-02       Impact factor: 4.475

8.  Calibration and analysis of genome-based models for microbial ecology.

Authors:  Stilianos Louca; Michael Doebeli
Journal:  Elife       Date:  2015-10-16       Impact factor: 8.140

9.  Systematic applications of metabolomics in metabolic engineering.

Authors:  Robert A Dromms; Mark P Styczynski
Journal:  Metabolites       Date:  2012-12-14

10.  Dynamic metabolic flux analysis using B-splines to study the effects of temperature shift on CHO cell metabolism.

Authors:  Verónica S Martínez; Maria Buchsteiner; Peter Gray; Lars K Nielsen; Lake-Ee Quek
Journal:  Metab Eng Commun       Date:  2015-06-19
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