Literature DB >> 16155945

In silico genome-scale reconstruction and validation of the Staphylococcus aureus metabolic network.

Matthias Heinemann1, Anne Kümmel, Reto Ruinatscha, Sven Panke.   

Abstract

A genome-scale metabolic model of the Gram-positive, facultative anaerobic opportunistic pathogen Staphylococcus aureus N315 was constructed based on current genomic data, literature, and physiological information. The model comprises 774 metabolic processes representing approximately 23% of all protein-coding regions. The model was extensively validated against experimental observations and it correctly predicted main physiological properties of the wild-type strain, such as aerobic and anaerobic respiration and fermentation. Due to the frequent involvement of S. aureus in hospital-acquired bacterial infections combined with its increasing antibiotic resistance, we also investigated the clinically relevant phenotype of small colony variants and found that the model predictions agreed with recent findings of proteome analyses. This indicates that the model is useful in assisting future experiments to elucidate the interrelationship of bacterial metabolism and resistance. To help directing future studies for novel chemotherapeutic targets, we conducted a large-scale in silico gene deletion study that identified 158 essential intracellular reactions. A more detailed analysis showed that the biosynthesis of glycans and lipids is rather rigid with respect to circumventing gene deletions, which should make these areas particularly interesting for antibiotic development. The combination of this stoichiometric model with transcriptomic and proteomic data should allow a new quality in the analysis of clinically relevant organisms and a more rationalized system-level search for novel drug targets. Copyright 2005 Wiley Periodicals, Inc

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Year:  2005        PMID: 16155945     DOI: 10.1002/bit.20663

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


  54 in total

Review 1.  Using the reconstructed genome-scale human metabolic network to study physiology and pathology.

Authors:  A Bordbar; B O Palsson
Journal:  J Intern Med       Date:  2012-02       Impact factor: 8.989

Review 2.  A metabolic network approach for the identification and prioritization of antimicrobial drug targets.

Authors:  Arvind K Chavali; Kevin M D'Auria; Erik L Hewlett; Richard D Pearson; Jason A Papin
Journal:  Trends Microbiol       Date:  2012-01-31       Impact factor: 17.079

3.  Fitness cost of staphylococcal cassette chromosome mec in methicillin-resistant Staphylococcus aureus by way of continuous culture.

Authors:  Sui Mae Lee; Miriam Ender; Rajan Adhikari; John M B Smith; Brigitte Berger-Bächi; Gregory M Cook
Journal:  Antimicrob Agents Chemother       Date:  2007-02-05       Impact factor: 5.191

Review 4.  Biochemical and statistical network models for systems biology.

Authors:  Nathan D Price; Ilya Shmulevich
Journal:  Curr Opin Biotechnol       Date:  2007-08-03       Impact factor: 9.740

5.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

Authors:  Jan Schellenberger; Richard Que; Ronan M T Fleming; Ines Thiele; Jeffrey D Orth; Adam M Feist; Daniel C Zielinski; Aarash Bordbar; Nathan E Lewis; Sorena Rahmanian; Joseph Kang; Daniel R Hyduke; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2011-08-04       Impact factor: 13.491

6.  Computational prediction and experimental verification of the gene encoding the NAD+/NADP+-dependent succinate semialdehyde dehydrogenase in Escherichia coli.

Authors:  Tobias Fuhrer; Lifeng Chen; Uwe Sauer; Dennis Vitkup
Journal:  J Bacteriol       Date:  2007-09-14       Impact factor: 3.490

7.  Characterizing the metabolism of Dehalococcoides with a constraint-based model.

Authors:  M Ahsanul Islam; Elizabeth A Edwards; Radhakrishnan Mahadevan
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

8.  Integration of metabolic databases for the reconstruction of genome-scale metabolic networks.

Authors:  Karin Radrich; Yoshimasa Tsuruoka; Paul Dobson; Albert Gevorgyan; Neil Swainston; Gino Baart; Jean-Marc Schwartz
Journal:  BMC Syst Biol       Date:  2010-08-16

Review 9.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

Review 10.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

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