Literature DB >> 18609648

Biochemical production capabilities of Escherichia coli.

A Varma1, B W Boesch, B O Palsson.   

Abstract

Microbial metabolism provides at mechanism for the conversion of substrates into useful biochemicals. Utilization of microbes in industrial processes requires a modification of their natural metabolism in order to increase the efficiency of the desired conversion. Redirection of metabolic fluxes forms the basis of the newly defined field of metabolic engineering. In this study we use a flux balance based approach to study the biosynthesis of the 20 amino acids and 4 nucleotides as biochemical products. These amino acids and nucleotides are primary products of biosynthesis as well as important industrial products and precursors for the production of other biochemicals. The biosynthetic reactions of the bacterium Escherichia coli have been formulated into a metabolic network, and growth has been defined as a balanced drain on the metabolite pools corresponding to the cellular composition. Theoretical limits on the conversion of glucose, glycerol, and acetate substrates to biomass as well as the biochemical products have been computed. The substrate that results in the maximal carbon conversion to a particular product is identified. Criteria have been developed to identify metabolic constraints in the optimal solutions. The constraints of stoichiometry, energy, and redox have been determined in the conversions of glucose, glycerol, and acetate substrates into the biochemicals. Flux distributions corresponding to the maximal production of the biochemicals are presented. The goals of metabolic engineering are the optimal redirection of fluxes from generating biomass toward producing the desired biochemical. Optimal biomass generation is shown to decrease in a piecewise linear manner with increasing product formation. In some cases, synergy is observed between biochemical production and growth, leading to an increased overall carbon conversion. Balanced growth and product formation are important in a bioprocess, particularly for nonsecreted products. (c) 1993 John Wiley & Sons, Inc.

Entities:  

Year:  1993        PMID: 18609648     DOI: 10.1002/bit.260420109

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  34 in total

Review 1.  Thirteen years of building constraint-based in silico models of Escherichia coli.

Authors:  Jennifer L Reed; Bernhard Ø Palsson
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

2.  Characteristics of oxygen transport through the surface of the isolated perfused rat liver.

Authors:  K V Shadrin; I I Morgulis; V G Pahomova; A P Rupenko; R G Khlebopros
Journal:  Dokl Biochem Biophys       Date:  2015-10-31       Impact factor: 0.788

Review 3.  The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli.

Authors:  Adam M Feist; Bernhard Ø Palsson
Journal:  Nat Biotechnol       Date:  2008-06       Impact factor: 54.908

4.  Elimination of thermodynamically infeasible loops in steady-state metabolic models.

Authors:  Jan Schellenberger; Nathan E Lewis; Bernhard Ø Palsson
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

5.  On the topological features of optimal metabolic pathway regimes.

Authors:  S M See; J P Dean; G Dervakos
Journal:  Appl Biochem Biotechnol       Date:  1996-09       Impact factor: 2.926

6.  Influence of metabolic network structure and function on enzyme evolution.

Authors:  Dennis Vitkup; Peter Kharchenko; Andreas Wagner
Journal:  Genome Biol       Date:  2006-05-09       Impact factor: 13.583

7.  Functional characterization of alternate optimal solutions of Escherichia coli's transcriptional and translational machinery.

Authors:  Ines Thiele; Ronan M T Fleming; Aarash Bordbar; Jan Schellenberger; Bernhard Ø Palsson
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

8.  Flux balance analysis of barley seeds: a computational approach to study systemic properties of central metabolism.

Authors:  Eva Grafahrend-Belau; Falk Schreiber; Dirk Koschützki; Björn H Junker
Journal:  Plant Physiol       Date:  2008-11-05       Impact factor: 8.340

9.  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

10.  Factors affecting plasmid production in Escherichia coli from a resource allocation standpoint.

Authors:  Drew S Cunningham; Richard R Koepsel; Mohammad M Ataai; Michael M Domach
Journal:  Microb Cell Fact       Date:  2009-05-22       Impact factor: 5.328

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