Literature DB >> 19492021

A critical view of metabolic network adaptations.

Balázs Papp, Bas Teusink, Richard A Notebaart.   

Abstract

There has been considerable recent interest in deciphering the adaptive properties underlying the structure and function of metabolic networks. Various features of metabolic networks such as the global topology, distribution of fluxes, and mutational robustness, have been proposed to have adaptive significance and hence reflect design principles. However, whether evolutionary processes alternative to direct selection on the trait under investigation also play a role is often ignored and the selection pressures maintaining a given metabolic trait often remain speculative. Some systems-level traits might simply arise as by-products of selection on other traits or even through random genetic drift. Here, we ask which systems-level aspects of metabolism are likely to have adaptive utility and which could be better explained as by-products of other evolutionary forces. We conclude that the global topological characteristics of metabolic networks and their mutational robustness are unlikely to be directly shaped by natural selection. Conversely, models of optimal design revealed that various aspects of individual pathways and the behavior of the whole network show signs of adaptations, even though the exact selective forces often remain elusive. Comparative and experimental approaches, which so far have been relatively rarely employed, could help to distinguish between alternative adaptive scenarios.

Year:  2008        PMID: 19492021      PMCID: PMC2689614          DOI: 10.2976/1.3020599

Source DB:  PubMed          Journal:  HFSP J        ISSN: 1955-205X


  67 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

2.  The frailty of adaptive hypotheses for the origins of organismal complexity.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

Review 3.  The danger of metabolic pathways with turbo design.

Authors:  B Teusink; M C Walsh; K van Dam; H V Westerhoff
Journal:  Trends Biochem Sci       Date:  1998-05       Impact factor: 13.807

4.  Optimizing metabolic pathways.

Authors:  T P Weber
Journal:  Trends Ecol Evol       Date:  1998-11-01       Impact factor: 17.712

5.  Theoretical approaches to the evolutionary optimization of glycolysis: thermodynamic and kinetic constraints.

Authors:  R Heinrich; F Montero; E Klipp; T G Waddell; E Meléndez-Hevia
Journal:  Eur J Biochem       Date:  1997-01-15

6.  Analysis of growth of Lactobacillus plantarum WCFS1 on a complex medium using a genome-scale metabolic model.

Authors:  Bas Teusink; Anne Wiersma; Douwe Molenaar; Christof Francke; Willem M de Vos; Roland J Siezen; Eddy J Smid
Journal:  J Biol Chem       Date:  2006-10-24       Impact factor: 5.157

7.  Evolvability and hierarchy in rewired bacterial gene networks.

Authors:  Mark Isalan; Caroline Lemerle; Konstantinos Michalodimitrakis; Carsten Horn; Pedro Beltrao; Emanuele Raineri; Mireia Garriga-Canut; Luis Serrano
Journal:  Nature       Date:  2008-04-17       Impact factor: 49.962

Review 8.  The nature of systems biology.

Authors:  Frank J Bruggeman; Hans V Westerhoff
Journal:  Trends Microbiol       Date:  2006-11-20       Impact factor: 17.079

9.  The evolution of connectivity in metabolic networks.

Authors:  Thomas Pfeiffer; Orkun S Soyer; Sebastian Bonhoeffer
Journal:  PLoS Biol       Date:  2005-06-28       Impact factor: 8.029

10.  Modeling Lactococcus lactis using a genome-scale flux model.

Authors:  Ana Paula Oliveira; Jens Nielsen; Jochen Förster
Journal:  BMC Microbiol       Date:  2005-06-27       Impact factor: 3.605

View more
  22 in total

1.  Artefacts in statistical analyses of network motifs: general framework and application to metabolic networks.

Authors:  Moritz Emanuel Beber; Christoph Fretter; Shubham Jain; Nikolaus Sonnenschein; Matthias Müller-Hannemann; Marc-Thorsten Hütt
Journal:  J R Soc Interface       Date:  2012-08-15       Impact factor: 4.118

Review 2.  Evolutionary design principles in metabolism.

Authors:  Gayathri Sambamoorthy; Himanshu Sinha; Karthik Raman
Journal:  Proc Biol Sci       Date:  2019-03-13       Impact factor: 5.349

Review 3.  Molecular-level tradeoffs and metabolic adaptation to simultaneous stressors.

Authors:  Ross P Carlson; Reed L Taffs
Journal:  Curr Opin Biotechnol       Date:  2010-07-14       Impact factor: 9.740

4.  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

5.  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

6.  Evolution under fluctuating environments explains observed robustness in metabolic networks.

Authors:  Orkun S Soyer; Thomas Pfeiffer
Journal:  PLoS Comput Biol       Date:  2010-08-26       Impact factor: 4.475

7.  Metabolic network modularity in archaea depends on growth conditions.

Authors:  Kazuhiro Takemoto; Suritalatu Borjigin
Journal:  PLoS One       Date:  2011-10-06       Impact factor: 3.240

8.  Difference in the distribution pattern of substrate enzymes in the metabolic network of Escherichia coli, according to chaperonin requirement.

Authors:  Kazuhiro Takemoto; Tatsuya Niwa; Hideki Taguchi
Journal:  BMC Syst Biol       Date:  2011-06-24

Review 9.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

10.  Making the right connections: biological networks in the light of evolution.

Authors:  Christopher G Knight; John W Pinney
Journal:  Bioessays       Date:  2009-10       Impact factor: 4.345

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.