Literature DB >> 15101992

Identification of the Entner-Doudoroff pathway in an antibiotic-producing actinomycete species.

Nina Gunnarsson1, Uffe H Mortensen, Margherita Sosio, Jens Nielsen.   

Abstract

The metabolic network of the central carbon metabolism represents the backbone of cellular metabolism and provides the precursors and cofactors required for synthesis of secondary metabolites. It is therefore pivotal to map the operating metabolic network in the central carbon metabolism in order to design metabolic engineering strategies towards construction of more efficient producers of specific metabolites. In this context, methods that allow rapid and reliable mapping of the central carbon metabolism are valuable. In the present study, a (13)C labelling-based method was used to identify the primary metabolic pathways of the poorly characterized antibiotic-producing actinomycete Nonomuraea sp. ATCC 39727. Surprisingly, it was found that Nonomuraea sp. ATCC 39272 predominantly metabolizes glucose via the Entner-Doudoroff (ED) pathway. This represents the first time that the ED pathway has been recognized as the main catabolic pathway in an actinomycete. The Nonomuraea genes encoding the key enzymes of the ED pathway were subsequently identified, sequenced and functionally described.

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Year:  2004        PMID: 15101992     DOI: 10.1111/j.1365-2958.2004.04028.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  11 in total

1.  Experimental identification and quantification of glucose metabolism in seven bacterial species.

Authors:  Tobias Fuhrer; Eliane Fischer; Uwe Sauer
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

2.  (13)C-based metabolic flux analysis.

Authors:  Nicola Zamboni; Sarah-Maria Fendt; Martin Rühl; Uwe Sauer
Journal:  Nat Protoc       Date:  2009-05-21       Impact factor: 13.491

3.  Metabolic network analysis of Streptomyces tenebrarius, a Streptomyces species with an active entner-doudoroff pathway.

Authors:  Irina Borodina; Charlotte Schöller; Anna Eliasson; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

4.  Differential transcription of expanded gene families in central carbon metabolism of Streptomyces coelicolor A3(2).

Authors:  Jana K Schniete; Richard Reumerman; Leena Kerr; Nicholas P Tucker; Iain S Hunter; Paul R Herron; Paul A Hoskisson
Journal:  Access Microbiol       Date:  2020-03-30

5.  FiatFlux--a software for metabolic flux analysis from 13C-glucose experiments.

Authors:  Nicola Zamboni; Eliane Fischer; Uwe Sauer
Journal:  BMC Bioinformatics       Date:  2005-08-25       Impact factor: 3.169

Review 6.  Metabolic networks in motion: 13C-based flux analysis.

Authors:  Uwe Sauer
Journal:  Mol Syst Biol       Date:  2006-11-14       Impact factor: 11.429

7.  Integrating multi-omics analyses of Nonomuraea dietziae to reveal the role of soybean oil in [(4'-OH)MeLeu]4-CsA overproduction.

Authors:  Huanhuan Liu; Di Huang; Lina Jin; Cheng Wang; Shaoxiong Liang; Jianping Wen
Journal:  Microb Cell Fact       Date:  2017-07-14       Impact factor: 5.328

8.  Comparative Genomics and Biosynthetic Potential Analysis of Two Lichen-Isolated Amycolatopsis Strains.

Authors:  Marina Sánchez-Hidalgo; Ignacio González; Cristian Díaz-Muñoz; Germán Martínez; Olga Genilloud
Journal:  Front Microbiol       Date:  2018-03-13       Impact factor: 5.640

9.  Comprehensive and accurate tracking of carbon origin of LC-tandem mass spectrometry collisional fragments for 13C-MFA.

Authors:  Jannick Kappelmann; Bianca Klein; Petra Geilenkirchen; Stephan Noack
Journal:  Anal Bioanal Chem       Date:  2017-01-23       Impact factor: 4.142

10.  Model-independent fluxome profiling from 2H and 13C experiments for metabolic variant discrimination.

Authors:  Nicola Zamboni; Uwe Sauer
Journal:  Genome Biol       Date:  2004-11-16       Impact factor: 13.583

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