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Prospecting hydrogen production of Escherichia coli by metabolic network modeling

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut11780-11789
Sivumäärä10
JulkaisuInternational Journal of Hydrogen Energy
Vuosikerta38
Numero27
DOI - pysyväislinkit
TilaJulkaistu - 10 syyskuuta 2013
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

Genome-scale model was applied to analyze the anaerobic metabolism of Escherichia coli. Three different methods were used to find deletions affecting fermentative hydrogen production: flux balance analysis (FBA), algorithm for blocking competing pathways (ABCP), and manual selection. Based on these methods, 81 E. coli mutants possessing one gene deletion were selected and cultivated in batch experiments. Experimental results of H2 and biomass production were compared against the results of FBA. Several gene deletions enhancing H2 production were found. Correctness of gene essentiality predictions of FBA for the selected genes was 78% and 77% in glucose and galactose media, respectively. 33% of the mutations that were predicted by FBA to increase H2 production had a positive effect in experiments. Batch cultivation is a simple and straightforward experimental way to screen improvements in H2 production. However, the ability of FBA to predict the H2 production rate cannot be evaluated by batch experiments. Metabolic network models provide a method for gaining broader understanding of the complicated metabolic system of a cell and can aid in prospecting suitable gene deletions for enhancing H2 production. © 2013, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights.