Literature DB >> 22132055

Phenotypic characterization of Corynebacterium glutamicum using elementary modes towards synthesis of amino acids.

Devesh Radhakrishnan, Meghna Rajvanshi, K V Venkatesh.   

Abstract

UNLABELLED: Elementary flux mode (EFM) analysis is a powerful tool to represent the metabolic network structure and can be further utilized for flux analysis. The method enables characterization and quantification of feasible phenotypes in microbes. EFM analysis was employed to characterize the phenotype of Corynebacterium glutamicum to yield various amino acids. The metabolic network of C. glutamicum yielded 62 elementary modes by incorporating the accumulation of amino acids namely, lysine, alanine, valine, glutamine and glutamate. The analysis also allowed us to compute the maximum theoretical yield for the synthesis of various amino acids. These 62 elementary modes were further used to obtain optimal phenotypic space towards accumulation of biomass and lysine. The study indicated that the optimal solution space from 62 elementary modes forms a super space which incorporates various mutants including lysine producing strain of C. glutamicum. The analysis was also extended to obtain sensitivity of the network to variation in the stoichiometry of NADP in the definition of biomass. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11693-011-9073-8) contains supplementary material, which is available to authorized users.

Entities:  

Keywords:  Corynebacterium glutamicum; Elementary mode analysis; Flux analysis; Metabolic network; Optimal phenotypic space; Stoichiometry

Year:  2011        PMID: 22132055      PMCID: PMC3065593          DOI: 10.1007/s11693-011-9073-8

Source DB:  PubMed          Journal:  Syst Synth Biol        ISSN: 1872-5325


  37 in total

1.  Metabolic network structure determines key aspects of functionality and regulation.

Authors:  Jörg Stelling; Steffen Klamt; Katja Bettenbrock; Stefan Schuster; Ernst Dieter Gilles
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

Review 2.  Two approaches for metabolic pathway analysis?

Authors:  Steffen Klamt; Jörg Stelling
Journal:  Trends Biotechnol       Date:  2003-02       Impact factor: 19.536

3.  Advances in flux balance analysis.

Authors:  Kenneth J Kauffman; Purusharth Prakash; Jeremy S Edwards
Journal:  Curr Opin Biotechnol       Date:  2003-10       Impact factor: 9.740

4.  Network analysis of intermediary metabolism using linear optimization. I. Development of mathematical formalism.

Authors:  J M Savinell; B O Palsson
Journal:  J Theor Biol       Date:  1992-02-21       Impact factor: 2.691

5.  Metabolic control analysis for lysine synthesis using Corynebacterium glutamicum and experimental verification.

Authors:  Q Hua; C Yang; K Shimizu
Journal:  J Biosci Bioeng       Date:  2000       Impact factor: 2.894

6.  Adenine and adenosine salvage pathways in erythrocytes and the role of S-adenosylhomocysteine hydrolase. A theoretical study using elementary flux modes.

Authors:  Stefan Schuster; Dimitar Kenanov
Journal:  FEBS J       Date:  2005-10       Impact factor: 5.542

7.  Design, construction and performance of the most efficient biomass producing E. coli bacterium.

Authors:  Cong T Trinh; Ross Carlson; Aaron Wlaschin; Friedrich Srienc
Journal:  Metab Eng       Date:  2006-08-15       Impact factor: 9.783

8.  Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction.

Authors:  J J Vallino; G Stephanopoulos
Journal:  Biotechnol Bioeng       Date:  1993-03-15       Impact factor: 4.530

9.  Applications of metabolic modelling to plant metabolism.

Authors:  M G Poolman; H E Assmus; D A Fell
Journal:  J Exp Bot       Date:  2004-04-08       Impact factor: 6.992

10.  ScrumPy: metabolic modelling with Python.

Authors:  M G Poolman
Journal:  Syst Biol (Stevenage)       Date:  2006-09
View more
  1 in total

1.  Lysine overproducing Corynebacterium glutamicum is characterized by a robust linear combination of two optimal phenotypic states.

Authors:  Meghna Rajvanshi; Kalyan Gayen; K V Venkatesh
Journal:  Syst Synth Biol       Date:  2013-04-17
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.