2011
DOI: 10.1186/1752-0509-5-101
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Genome-scale reconstruction and in silico analysis of the Ralstonia eutropha H16 for polyhydroxyalkanoate synthesis, lithoautotrophic growth, and 2-methyl citric acid production

Abstract: BackgroundRalstonia eutropha H16, found in both soil and water, is a Gram-negative lithoautotrophic bacterium that can utillize CO2 and H2 as its sources of carbon and energy in the absence of organic substrates. R. eutropha H16 can reach high cell densities either under lithoautotrophic or heterotrophic conditions, which makes it suitable for a number of biotechnological applications. It is the best known and most promising producer of polyhydroxyalkanoates (PHAs) from various carbon substrates and is an envi… Show more

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Cited by 74 publications
(53 citation statements)
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“…[50,51] The PHB production was determined by ultraviolet spectroscopy (Cintra 303, GBC, Canada). The DCW was calculated with ac orrelation established between the OD 600 and DCW:D CW (g L À1 ) = 0.4695 OD 600 .T he correlation was established following ap revious publication.…”
Section: Methodsmentioning
confidence: 99%
“…[50,51] The PHB production was determined by ultraviolet spectroscopy (Cintra 303, GBC, Canada). The DCW was calculated with ac orrelation established between the OD 600 and DCW:D CW (g L À1 ) = 0.4695 OD 600 .T he correlation was established following ap revious publication.…”
Section: Methodsmentioning
confidence: 99%
“…pathways that are present but not used. To date, the simulation of metabolic models has found applications in metabolic engineering (Perez Pulido et al, 2005;Park et al, 2011;Licona-Cassani et al, 2012), network analysis (Almaas et al, 2005;Lee et al, 2005;Nam et al, 2012), biological discovery (Chen & Vitkup, 2006;Reed et al, 2006;Frezza et al, 2011), and target identification for drug discovery research (Becker et al, 2006;Brynildsen et al, 2013). Metabolic models have also been used to investigate drug off-target effects by incorporating structural data for proteins (Chang et al, 2010) and to provide context for the analysis of high-throughput omics data (Chandrasekaran & Price, 2010;Chang et al, 2010;van Berlo et al, 2011;Frezza et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The ∆ r G o value for biomass is based on the report that the Gibbs free energy of formation of biomass in Escherichia coli is -46 kJ/mol carbon (39), and experimentally the efficiency was calculated based on the relationship: 1 OD 600 = 0.448 g/L dry biomass (40). The Gibbs formation energy value of PHB was approximated by the enthalpy of its combustion, which was determined experimentally using oxygen bomb calorimeter (Parr 6725EA).…”
Section: Efficiency Calculationsmentioning
confidence: 99%