2012
DOI: 10.1007/s00253-012-4543-9
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Genome-scale metabolic model in guiding metabolic engineering of microbial improvement

Abstract: In the past few decades, despite all the significant achievements in industrial microbial improvement, the approaches of traditional random mutation and selection as well as the rational metabolic engineering based on the local knowledge cannot meet today's needs. With rapid reconstructions and accurate in silico simulations, genome-scale metabolic model (GSMM) has become an indispensable tool to study the microbial metabolism and design strain improvements. In this review, we highlight the application of GSMM… Show more

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Cited by 53 publications
(34 citation statements)
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“…To address this problem, metabolic modeling can be applied for both computational simulation of metabolic flux networks and experimental flux analyses. These analyses are then employed to predict targets for metabolic engineering to enhance productivity (Xu et al, 2013). …”
Section: Introductionmentioning
confidence: 99%
“…To address this problem, metabolic modeling can be applied for both computational simulation of metabolic flux networks and experimental flux analyses. These analyses are then employed to predict targets for metabolic engineering to enhance productivity (Xu et al, 2013). …”
Section: Introductionmentioning
confidence: 99%
“…Overexpressions of ZWF1, SOL3, MDH1, and GDH3 were positive for improved recombinant protein production, which demonstrated the high accuracy of prediction by GEM for heterologous enzyme production. Based on the successful application of GEMs in the metabolic engineering of model microorganism such as like E. coli and Saccharomyces cerevisiae (McCloskey et al 2013;Xu et al 2012Xu et al , 2013a, the GEMs of industrially important strains such as Candida glabrata, Ketogulonicigenium vulgare WSH-001, and Bacillus megaterium WSH002 have also been reconstructed (Xu et al 2013b;Zou et al 2012Zou et al , 2013. In silico metabolic engineering has further enhanced their cellular properties for industrial production.…”
Section: Gem-guided Metabolic Engineeringmentioning
confidence: 99%
“…42 Based on this, GSMMs can be used in guiding metabolic engineering of microorganisms for secondary metabolite improvement. 43 Hemophilus influenza was the first organism for which a GSMM was created and published in 1999. 44 Since then, GSMM have been reconstructed for several bacterial species with improved efficiency and quality.…”
Section: Genome-scale Metabolic Models (Gsmm)mentioning
confidence: 99%