Literature DB >> 9872753

Identification of enzymes and quantification of metabolic fluxes in the wild type and in a recombinant aspergillus oryzae strain

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Abstract

Two alpha-amylase-producing strains of Aspergillus oryzae, a wild-type strain and a recombinant containing additional copies of the alpha-amylase gene, were characterized with respect to enzyme activities, localization of enzymes to the mitochondria or cytosol, macromolecular composition, and metabolic fluxes through the central metabolism during glucose-limited chemostat cultivations. Citrate synthase and isocitrate dehydrogenase (NAD) activities were found only in the mitochondria, glucose-6-phosphate dehydrogenase and glutamate dehydrogenase (NADP) activities were found only in the cytosol, and isocitrate dehydrogenase (NADP), glutamate oxaloacetate transaminase, malate dehydrogenase, and glutamate dehydrogenase (NAD) activities were found in both the mitochondria and the cytosol. The measured biomass components and ash could account for 95% (wt/wt) of the biomass. The protein and RNA contents increased linearly with increasing specific growth rate, but the carbohydrate and chitin contents decreased. A metabolic model consisting of 69 fluxes and 59 intracellular metabolites was used to calculate the metabolic fluxes through the central metabolism at several specific growth rates, with ammonia or nitrate as the nitrogen source. The flux through the pentose phosphate pathway increased with increasing specific growth rate. The fluxes through the pentose phosphate pathway were 15 to 26% higher for the recombinant strain than for the wild-type strain.

Entities:  

Year:  1999        PMID: 9872753      PMCID: PMC90976     

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  27 in total

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Authors:  R W Harding; D F Caroline; R P Wagner
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2.  Localization of pyruvate carboxylase in organic acid-producing Aspergillus strains.

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Authors:  M Lara; L Blanco; M Campomanes; E Calva; R Palacios; J Mora
Journal:  J Bacteriol       Date:  1982-04       Impact factor: 3.490

5.  Determination of the fluxes in the central metabolism of Corynebacterium glutamicum by nuclear magnetic resonance spectroscopy combined with metabolite balancing.

Authors:  A Marx; A A de Graaf; W Wiechert; L Eggeling; H Sahm
Journal:  Biotechnol Bioeng       Date:  1996-01-20       Impact factor: 4.530

6.  Metabolic flux distributions in Penicillium chrysogenum during fed-batch cultivations.

Authors:  H Jørgensen; J Nielsen; J Villadsen; H Møllgaard
Journal:  Biotechnol Bioeng       Date:  1995-04-20       Impact factor: 4.530

7.  Intracellular location of enzymes involved in citrate production by Aspergillus niger.

Authors:  W M Jaklitsch; C P Kubicek; M C Scrutton
Journal:  Can J Microbiol       Date:  1991-11       Impact factor: 2.419

Review 8.  Network rigidity and metabolic engineering in metabolite overproduction.

Authors:  G Stephanopoulos; J J Vallino
Journal:  Science       Date:  1991-06-21       Impact factor: 47.728

9.  NADPH generation in Aspergillus nidulans: is the mannitol cycle involved?

Authors:  M Singh; N S Scrutton; M C Scrutton
Journal:  J Gen Microbiol       Date:  1988-03

10.  MANNITOL AND MANNITOL DEHYDROGENASES IN CONIDIA OF ASPERGILLUS ORYZAE.

Authors:  K HORIKOSHI; S IIDA; Y IKEDA
Journal:  J Bacteriol       Date:  1965-02       Impact factor: 3.490

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  13 in total

Review 1.  Metabolic engineering of Saccharomyces cerevisiae.

Authors:  S Ostergaard; L Olsson; J Nielsen
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Review 2.  Engineering the supply chain for protein production/secretion in yeasts and mammalian cells.

Authors:  Tobias Klein; Jens Niklas; Elmar Heinzle
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Review 3.  Potential of metabolic engineering in bacterial nanosilver synthesis.

Authors:  Sayak Mitra; Ashmita Das; Shampa Sen; Biswanath Mahanty
Journal:  World J Microbiol Biotechnol       Date:  2018-08-23       Impact factor: 3.312

4.  Studies of the production of fungal polyketides in Aspergillus nidulans by using systems biology tools.

Authors:  Gianni Panagiotou; Mikael R Andersen; Thomas Grotkjaer; Torsten B Regueira; Jens Nielsen; Lisbeth Olsson
Journal:  Appl Environ Microbiol       Date:  2009-01-23       Impact factor: 4.792

5.  Model based engineering of Pichia pastoris central metabolism enhances recombinant protein production.

Authors:  Justyna Nocon; Matthias G Steiger; Martin Pfeffer; Seung Bum Sohn; Tae Yong Kim; Michael Maurer; Hannes Rußmayer; Stefan Pflügl; Magnus Ask; Christina Haberhauer-Troyer; Karin Ortmayr; Stephan Hann; Gunda Koellensperger; Brigitte Gasser; Sang Yup Lee; Diethard Mattanovich
Journal:  Metab Eng       Date:  2014-05-20       Impact factor: 9.783

6.  Investigation of malic acid production in Aspergillus oryzae under nitrogen starvation conditions.

Authors:  Christoph Knuf; Intawat Nookaew; Stephen H Brown; Michael McCulloch; Alan Berry; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2013-07-26       Impact factor: 4.792

7.  Improved annotation through genome-scale metabolic modeling of Aspergillus oryzae.

Authors:  Wanwipa Vongsangnak; Peter Olsen; Kim Hansen; Steen Krogsgaard; Jens Nielsen
Journal:  BMC Genomics       Date:  2008-05-23       Impact factor: 3.969

8.  Analysis of Aspergillus nidulans metabolism at the genome-scale.

Authors:  Helga David; Ilknur S Ozçelik; Gerald Hofmann; Jens Nielsen
Journal:  BMC Genomics       Date:  2008-04-11       Impact factor: 3.969

9.  Systems analysis unfolds the relationship between the phosphoketolase pathway and growth in Aspergillus nidulans.

Authors:  Gianni Panagiotou; Mikael R Andersen; Thomas Grotkjaer; Torsten B Regueira; Gerald Hofmann; Jens Nielsen; Lisbeth Olsson
Journal:  PLoS One       Date:  2008-12-04       Impact factor: 3.240

10.  Integrated isotope-assisted metabolomics and (13)C metabolic flux analysis reveals metabolic flux redistribution for high glucoamylase production by Aspergillus niger.

Authors:  Hongzhong Lu; Xiaoyun Liu; Mingzhi Huang; Jianye Xia; Ju Chu; Yingping Zhuang; Siliang Zhang; Henk Noorman
Journal:  Microb Cell Fact       Date:  2015-09-17       Impact factor: 5.328

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