A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.

TitleA genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.
Publication TypeJournal Article
Year of Publication2007
AuthorsFeist AM, Henry CS, Reed JL, Krummenacker M, Joyce AR, Karp PD, Broadbelt LJ, Hatzimanikatis V, Palsson BØ
JournalMol Syst Biol
Volume3
Pagination121
Date Published2007
ISSN1744-4292
KeywordsAlgorithms, Biomass, Computational Biology, Computer Simulation, Databases, Genetic, Energy Metabolism, Escherichia coli K12, Genome, Bacterial, Glucose, Metabolic Networks and Pathways, Models, Biological, Open Reading Frames, Thermodynamics
Abstract

An updated genome-scale reconstruction of the metabolic network in Escherichia coli K-12 MG1655 is presented. This updated metabolic reconstruction includes: (1) an alignment with the latest genome annotation and the metabolic content of EcoCyc leading to the inclusion of the activities of 1260 ORFs, (2) characterization and quantification of the biomass components and maintenance requirements associated with growth of E. coli and (3) thermodynamic information for the included chemical reactions. The conversion of this metabolic network reconstruction into an in silico model is detailed. A new step in the metabolic reconstruction process, termed thermodynamic consistency analysis, is introduced, in which reactions were checked for consistency with thermodynamic reversibility estimates. Applications demonstrating the capabilities of the genome-scale metabolic model to predict high-throughput experimental growth and gene deletion phenotypic screens are presented. The increased scope and computational capability using this new reconstruction is expected to broaden the spectrum of both basic biology and applied systems biology studies of E. coli metabolism.

DOI10.1038/msb4100155
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/17593909?dopt=Abstract
PMCPMC1911197
Alternate JournalMol. Syst. Biol.
PubMed ID17593909