Literature DB >> 9094226

Purification and characterization of phosphoenolpyruvate carboxykinase from the anaerobic ruminal bacterium Ruminococcus flavefaciens.

L Schöcke1, P J Weimer.   

Abstract

Phosphoenolpyruvate (PEP) carboxykinase was purified 42-fold with a 25% yield from cell extracts of Ruminococcus flavefaciens by ammonium sulfate precipitation, preparative isoelectric focusing, and removal of carrier ampholytes by chromatography. The enzyme had a subunit molecular mass of approximately 66.3 kDa (determined by mass spectrometry), but was retained by a filter having a 100-kDa nominal molecular mass cutoff. Optimal activity required activation of the enzyme by Mn2+ and stabilization of the nucleotide substrate by Mg2+. GDP was a more effective phosphoryl acceptor than ADP, while IDP was not utilized. Under optimal conditions the measured activity in the direction of PEP carboxylation was 17.2 micromol min-1 (mg enzyme)-1. The apparent Km values for PEP (0.3 mM) and GDP (2.0 mM) were 9- and 14-fold lower than the apparent Km values for the substrates of the back reaction (oxaloacetate and GTP, respectively). The data are consistent with the involvement of PEP carboxykinase as the primary carboxylation enzyme in the fermentation of cellulose to succinate by this bacterium.

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Year:  1997        PMID: 9094226     DOI: 10.1007/s002030050446

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


  11 in total

1.  The PEP-pyruvate-oxaloacetate node: variation at the heart of metabolism.

Authors:  Jeroen G Koendjbiharie; Richard van Kranenburg; Servé W M Kengen
Journal:  FEMS Microbiol Rev       Date:  2021-05-05       Impact factor: 16.408

2.  Molecular and functional characterization of the Rhodopseudomonas palustris no. 7 phosphoenolpyruvate carboxykinase gene.

Authors:  M Inui; K Nakata; J H Roh; K Zahn; H Yukawa
Journal:  J Bacteriol       Date:  1999-05       Impact factor: 3.490

3.  The phosphoenolpyruvate carboxykinase of Mycobacterium tuberculosis induces strong cell-mediated immune responses in mice.

Authors:  Keyi Liu; Xuelian Ba; Jinzhi Yu; Jin Li; Qingkuan Wei; Guangdong Han; Guiping Li; Yong Cui
Journal:  Mol Cell Biochem       Date:  2006-05-12       Impact factor: 3.396

4.  First characterization of an archaeal GTP-dependent phosphoenolpyruvate carboxykinase from the hyperthermophilic archaeon Thermococcus kodakaraensis KOD1.

Authors:  Wakao Fukuda; Toshiaki Fukui; Haruyuki Atomi; Tadayuki Imanaka
Journal:  J Bacteriol       Date:  2004-07       Impact factor: 3.490

5.  Methylotrophy in Mycobacteria: Dissection of the Methanol Metabolism Pathway in Mycobacterium smegmatis.

Authors:  Abhishek Anil Dubey; Saloni Rajesh Wani; Vikas Jain
Journal:  J Bacteriol       Date:  2018-08-10       Impact factor: 3.490

6.  Molecular and biochemical characterization of phosphoenolpyruvate carboxykinase in the ruminal bacterium Ruminococcus albus.

Authors:  Narito Asanuma; Kimio Yoshizawa; Kazuhiro Kanada; Tsuneo Hino
Journal:  Curr Microbiol       Date:  2009-02-05       Impact factor: 2.188

7.  Revealing the functions of the transketolase enzyme isoforms in Rhodopseudomonas palustris using a systems biology approach.

Authors:  Chia-Wei Hu; Ya-Ling Chang; Shiang Jiuun Chen; Ling-Long Kuo-Huang; James C Liao; Hsuan-Cheng Huang; Hsueh-Fen Juan
Journal:  PLoS One       Date:  2011-12-08       Impact factor: 3.240

8.  Structural and functional studies of phosphoenolpyruvate carboxykinase from Mycobacterium tuberculosis.

Authors:  Iva Machová; Jan Snášel; Jiří Dostál; Jiří Brynda; Jindřich Fanfrlík; Mahavir Singh; Ján Tarábek; Ondřej Vaněk; Lucie Bednárová; Iva Pichová
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

9.  Metatranscriptomic analysis of diverse microbial communities reveals core metabolic pathways and microbiome-specific functionality.

Authors:  Yue Jiang; Xuejian Xiong; Jayne Danska; John Parkinson
Journal:  Microbiome       Date:  2016-01-12       Impact factor: 14.650

10.  An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.

Authors:  W Duncan Wadsworth; Raffaele Argiento; Michele Guindani; Jessica Galloway-Pena; Samuel A Shelburne; Marina Vannucci
Journal:  BMC Bioinformatics       Date:  2017-02-08       Impact factor: 3.169

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