Literature DB >> 11920446

Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism.

Stephen J Van Dien1, Mary E Lidstrom.   

Abstract

A stoichiometric model of central metabolism was developed based on new information regarding metabolism in this bacterium to evaluate the steady-state growth capabilities of the serine cycle facultative methylotroph Methylobacterium extorquens AM1 during growth on methanol, succinate, and pyruvate. The model incorporates 20 reversible and 47 irreversible reactions, 65 intracellular metabolites, and experimentally-determined biomass composition. The flux space for this underdetermined system of equations was defined by finding the elementary modes, and constraints based on experimental observations were applied to determine which of these elementary modes give a reasonable description of the flux distribution for each growth substrate. The predicted biomass yield, on a carbon atom basis, is 49.8%, which agrees well with the range of published experimental yield measurements (37-50%). The model predicts the cell to be limited by reduced pyridine nucleotide availability during methylotrophic growth, but energy-limited when growing on multicarbon substrates. Mutation and phenotypic analysis was used to explore a previously unknown region of the metabolic map and to confirm the stoichiometry of the pathways in this region used in the metabolic model. Based on genome sequence data and simulation results, three enzymes involved in C(3)-C(4) interconversion pathways were predicted to be mutually redundant: malic enzyme, phosphoenolpyruvate carboxykinase, and phosphoenolpyruvate synthase. Insertion mutations in the genes predicted to encode these enzymes were made and these mutants were capable of growing on all substrates tested, confirming the redundancy of these pathways. Likewise, pathway analysis suggests that the TCA cycle enzymes citrate synthase and succinate dehydrogenase are essential for all growth substrates. In keeping with these predictions, null mutants could not be obtained in these genes. Finally, a similar model was developed for the ribulose monophosphate pathway obligate methylotroph Methylobacillus flagellatum KT to compare the efficiency of carbon utilization in the two types of methylotrophic carbon utilization pathways. The predicted yield for this organism on methanol is 65.9%. Copyright 2002 Wiley Periodicals, Inc.

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Year:  2002        PMID: 11920446     DOI: 10.1002/bit.10200

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


  47 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

Review 2.  Methylotrophy in Methylobacterium extorquens AM1 from a genomic point of view.

Authors:  Ludmila Chistoserdova; Sung-Wei Chen; Alla Lapidus; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2003-05       Impact factor: 3.490

3.  Expressed genome of Methylobacillus flagellatus as defined through comprehensive proteomics and new insights into methylotrophy.

Authors:  Erik L Hendrickson; David A C Beck; Tiansong Wang; Mary E Lidstrom; Murray Hackett; Ludmila Chistoserdova
Journal:  J Bacteriol       Date:  2010-07-16       Impact factor: 3.490

4.  OptStrain: a computational framework for redesign of microbial production systems.

Authors:  Priti Pharkya; Anthony P Burgard; Costas D Maranas
Journal:  Genome Res       Date:  2004-11       Impact factor: 9.043

5.  Identification of genes involved in the glyoxylate regeneration cycle in Methylobacterium extorquens AM1, including two new genes, meaC and meaD.

Authors:  Natalia Korotkova; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  J Bacteriol       Date:  2005-02       Impact factor: 3.490

6.  Calculating as many fluxes as possible in underdetermined metabolic networks.

Authors:  Steffen Klamt; Stefan Schuster
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

7.  Measurement of respiration rates of Methylobacterium extorquens AM1 cultures by use of a phosphorescence-based sensor.

Authors:  Tim J Strovas; Joe M Dragavon; Tyler J Hankins; James B Callis; Lloyd W Burgess; Mary E Lidstrom
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

8.  Cell-to-cell heterogeneity in growth rate and gene expression in Methylobacterium extorquens AM1.

Authors:  Tim J Strovas; Linda M Sauter; Xiaofeng Guo; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2007-07-20       Impact factor: 3.490

9.  Methenyl-Dephosphotetrahydromethanopterin Is a Regulatory Signal for Acclimation to Changes in Substrate Availability in Methylobacterium extorquens AM1.

Authors:  N Cecilia Martinez-Gomez; Nathan M Good; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2015-04-06       Impact factor: 3.490

10.  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

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