Konstitutive Glucose-6-phosphat-Dehydrogenase bei Glucose verwertenden Mutanten von einem kryptischen Wildstamm

K�nig, Chr.; Sammler, I.; Wilde, Erika; Schlegel, Hans-Günter

doi:10.1007/bf00413680

Cited by 23 publications

(3 citation statements)

References 9 publications

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“…Isoforms of Zwf1 were detected, which show on average approximately 2-fold-stronger (growth with fructose) or 3-foldstronger (provision of glucose) expression in mutant G ϩ 1 than in wild-type H16. These findings confirm early biochemical results provided by König et al (27), which reported on a constitutively derepression of a G6PD. The latter could thus be identified as Zwf1, which is a part of the nag operon.…”

Section: Vol 77 2011supporting

confidence: 93%

“…The properties exhibited by all these mutants were similar: (i) they were constitutively derepressed for the formation of glucose-6-phosphate dehydrogenase, and (ii) the substrate saturation curve of the respiration of glucose differed from that for fructose. The respiratory rate with fructose as the substrate already reached its maximum at 0.02% (wt/vol) fructose, while glucose oxidation was maximal only at 1 to 10% (wt/vol) (27). However, it appears unlikely that the mutants' ability to utilize glucose was caused by constitutive expression of just one single protein species involved in hexose degradation.…”

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confidence: 99%

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Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization

Raberg

Peplinski

Heiss

et al. 2011

Appl Environ Microbiol

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By taking advantage of the available genome sequence of Ralstonia eutropha H16, glucose uptake in the UV-generated glucose-utilizing mutant R. eutropha G ؉ 1 was investigated by transcriptomic and proteomic analyses. Data revealed clear evidence that glucose is transported by a usually N-acetylglucosamine-specific phosphotransferase system (PTS)-type transport system, which in this mutant is probably overexpressed due to a derepression of the encoding nag operon by an identified insertion mutation in gene H16_A0310 (nagR). Furthermore, a missense mutation in nagE (membrane component EIICB), which yields a substitution of an alanine by threonine in NagE and may additionally increase glucose uptake, was identified. Phosphorylation of glucose is subsequently mediated by NagF (cytosolic PTS component EIIA-HPr-EI) or glucokinase (GlK), respectively. The inability of the defined deletion mutant R. eutropha G ؉ 1 ⌬nagFEC to utilize glucose strongly confirms this finding. In addition, secondary effects of glucose, which is now intracellularly available as a carbon source, on the metabolism of the mutant cells in the stationary growth phase occurred: intracellular glucose degradation is stimulated by the stronger expression of enzymes involved in the 2-keto-3-deoxygluconate 6-phosphate (KDPG) pathway and in subsequent reactions yielding pyruvate. The intermediate phosphoenolpyruvate (PEP) in turn supports further glucose uptake by the Nag PTS. Pyruvate is then decarboxylated by the pyruvate dehydrogenase multienzyme complex to acetyl coenzyme A (acetyl-CoA), which is directed to poly(3-hydroxybutyrate). The polyester is then synthesized to a greater extent, as also indicated by the upregulation of various enzymes of poly-␤-hydroxybutyrate (PHB) metabolism. The larger amounts of NADPH required for PHB synthesis are delivered by significantly increased quantities of proton-translocating NAD(P) transhydrogenases. The current study successfully combined transcriptomic and proteomic investigations to unravel the phenotype of this hitherto-undefined glucose-utilizing mutant.

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Section: Vol 77 2011supporting

confidence: 93%

mentioning

confidence: 99%

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization

Raberg

Peplinski

Heiss

et al. 2011

Appl Environ Microbiol

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“…Its native (wild-type) strain (H16) is able to use fructose and N-acetyl-glucosamine (NAG), but not glucose 112 . Some mutants developed from this wild-type strain (i.e., G +1 and H1G…”

Section: Metabolic Models Targeted For Industrial Pha Biosynthesismentioning

confidence: 99%

Mathematical Modelling as a Tool for Optimized PHA Production

Novák

Koller

Braunegg

et al. 2015

Chem.Biochem.Eng.Q.

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c ARENA -Association for resource efficient and sustainable technologies, Inffeldgasse 21b, 8010 Graz, AustriaThe potential of poly(hydroxyalkanoates) (PHAs) to replace conventional plastic materials justifies the increasing attention they have drawn both at lab-scale and in industrial biotechnology.The improvement of large-scale productivity and biochemical/genetic properties of producing strains requires mathematical modeling and process/strain optimization procedures. Current models dealing with structurally diversified PHAs, both structured and unstructured, can be divided into formal kinetic, low-structured, dynamic, metabolic (high-structured), cybernetic, neural networks and hybrid models; these attempts are summarized in this review. Characteristic properties of specific groups of models are stressed in light of their benefit to the better understanding of PHA biosynthesis, and their applicability for enhanced productivity. Unfortunately, there is no single type of mathematical model that expresses exactly all the characteristics of producing strains and/or features of industrial-scale plants; in addition, the different requirements for modelling of PHA production by pure cultures or mixed microbial consortia have to be addressed. Therefore, it is crucial to sophisticatedly adapt and fine-tune the modelling approach accordingly to actual processes, as the case arises. For "standard microbial cultivations and everyday practices", formal kinetic models (for simple cases) and "low-structured" models will be appropriate and of great benefit. They are relatively simple and of low computational demand.To overcome the specific weaknesses of different established model types, some authors use hybrid models. Here, satisfying compromises can be achieved by combining mechanistic, cybernetic, and neural and computational fluid dynamics (CFD) models. Therefore, this hybrid modelling approach appears to constitute the most promising solution to generate a holistic picture of the entire PHA production process, encompassing all the benefits of the original modelling strategies. Complex growth media require a higher degree of model structuring. For scientific purposes and advanced development of industrial equipment in the future, real systems will be modelled by highly organized hybrid models.All solutions related to modelling PHA production are discussed in this review.

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PHB and Other Polhydroxyalkanoic Acids

Steinbüchel¹

1996

Biotechnology

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Konstitutive Glucose-6-phosphat-Dehydrogenase bei Glucose verwertenden Mutanten von einem kryptischen Wildstamm

Cited by 23 publications

References 9 publications

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization

Mathematical Modelling as a Tool for Optimized PHA Production

PHB and Other Polhydroxyalkanoic Acids

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Konstitutive Glucose-6-phosphat-Dehydrogenase bei Glucose verwertenden Mutanten von einem kryptischen Wildstamm

Cited by 23 publications

References 9 publications

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G + 1 with Regard to Glucose Utilization

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G + 1 with Regard to Glucose Utilization

Mathematical Modelling as a Tool for Optimized PHA Production

PHB and Other Polhydroxyalkanoic Acids

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Product

Resources

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Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization

Proteomic and Transcriptomic Elucidation of the Mutant Ralstonia eutropha G ⁺ 1 with Regard to Glucose Utilization