Literature DB >> 16155745

Expanding metabolic networks: scopes of compounds, robustness, and evolution.

Thomas Handorf1, Oliver Ebenhöh, Reinhart Heinrich.   

Abstract

A new method for the mathematical analysis of large metabolic networks is presented. Based on the fact that the occurrence of a metabolic reaction generally requires the existence of other reactions providing its substrates, series of metabolic networks are constructed. In each step of the corresponding expansion process those reactions are incorporated whose substrates are made available by the networks of the previous generations. The method is applied to the set of all metabolic reactions included in the KEGG database. Starting with one or more seed compounds, the expansion results in a final network whose compounds define the scope of the seed. Scopes of all metabolic compounds are calculated and it is shown that large parts of cellular metabolism can be considered as the combined scope of simple building blocks. Analyses of various expansion processes reveal crucial metabolites whose incorporation allows for the increase in network complexity. Among these metabolites are common cofactors such as NAD+, ATP, and coenzyme A. We demonstrate that the outcome of network expansion is in general very robust against elimination of single or few reactions. There exist, however, crucial reactions whose elimination results in a dramatic reduction of scope sizes. It is hypothesized that the expansion process displays characteristics of the evolution of metabolism such as the temporal order of the emergence of metabolic pathways.

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Year:  2005        PMID: 16155745     DOI: 10.1007/s00239-005-0027-1

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  15 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks.

Authors:  S Schuster; D A Fell; T Dandekar
Journal:  Nat Biotechnol       Date:  2000-03       Impact factor: 54.908

3.  BRENDA, enzyme data and metabolic information.

Authors:  Ida Schomburg; Antje Chang; Dietmar Schomburg
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  Network motifs: simple building blocks of complex networks.

Authors:  R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

5.  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

6.  On the Evolution of Biochemical Syntheses.

Authors:  N H Horowitz
Journal:  Proc Natl Acad Sci U S A       Date:  1945-06       Impact factor: 11.205

Review 7.  Mathematical analysis of enzymic reaction systems using optimization principles.

Authors:  R Heinrich; S Schuster; H G Holzhütter
Journal:  Eur J Biochem       Date:  1991-10-01

8.  A method for classifying metabolites in topological pathway analyses based on minimization of pathway number.

Authors:  Thomas Dandekar; Ferdinand Moldenhauer; Sascha Bulik; Helge Bertram; Stefan Schuster
Journal:  Biosystems       Date:  2003-08       Impact factor: 1.973

9.  On the origins of cells: a hypothesis for the evolutionary transitions from abiotic geochemistry to chemoautotrophic prokaryotes, and from prokaryotes to nucleated cells.

Authors:  William Martin; Michael J Russell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-01-29       Impact factor: 6.237

Review 10.  Metabolic pathways in the post-genome era.

Authors:  Jason A Papin; Nathan D Price; Sharon J Wiback; David A Fell; Bernhard O Palsson
Journal:  Trends Biochem Sci       Date:  2003-05       Impact factor: 13.807

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  63 in total

1.  Toolbox model of evolution of prokaryotic metabolic networks and their regulation.

Authors:  Sergei Maslov; Sandeep Krishna; Tin Yau Pang; Kim Sneppen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-05-29       Impact factor: 11.205

2.  Large-scale reconstruction and phylogenetic analysis of metabolic environments.

Authors:  Elhanan Borenstein; Martin Kupiec; Marcus W Feldman; Eytan Ruppin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-11       Impact factor: 11.205

3.  Decoupling Environment-Dependent and Independent Genetic Robustness across Bacterial Species.

Authors:  Shiri Freilich; Anat Kreimer; Elhanan Borenstein; Uri Gophna; Roded Sharan; Eytan Ruppin
Journal:  PLoS Comput Biol       Date:  2010-02-26       Impact factor: 4.475

4.  Signatures of arithmetic simplicity in metabolic network architecture.

Authors:  William J Riehl; Paul L Krapivsky; Sidney Redner; Daniel Segrè
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

5.  Use of reconstituted metabolic networks to assist in metabolomic data visualization and mining.

Authors:  Fabien Jourdan; Ludovic Cottret; Laurence Huc; David Wildridge; Richard Scheltema; Anne Hillenweck; Michael P Barrett; Daniel Zalko; David G Watson; Laurent Debrauwer
Journal:  Metabolomics       Date:  2010-01-06       Impact factor: 4.290

6.  MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks.

Authors:  Ludovic Cottret; David Wildridge; Florence Vinson; Michael P Barrett; Hubert Charles; Marie-France Sagot; Fabien Jourdan
Journal:  Nucleic Acids Res       Date:  2010-05-05       Impact factor: 16.971

7.  The large-scale organization of the bacterial network of ecological co-occurrence interactions.

Authors:  Shiri Freilich; Anat Kreimer; Isacc Meilijson; Uri Gophna; Roded Sharan; Eytan Ruppin
Journal:  Nucleic Acids Res       Date:  2010-03-01       Impact factor: 16.971

8.  Flux balance analysis accounting for metabolite dilution.

Authors:  Tomer Benyamini; Ori Folger; Eytan Ruppin; Tomer Shlomi
Journal:  Genome Biol       Date:  2010-04-16       Impact factor: 13.583

9.  Mining metabolic pathways through gene expression.

Authors:  Timothy Hancock; Ichigaku Takigawa; Hiroshi Mamitsuka
Journal:  Bioinformatics       Date:  2010-06-29       Impact factor: 6.937

10.  Local and global modes of drug action in biochemical networks.

Authors:  Jean-Marc Schwartz; Jose C Nacher
Journal:  BMC Chem Biol       Date:  2009-04-07
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