Evolutionary significance of metabolic network properties

Georg Basler, Sergio Grimbs, Oliver Ebenhöh, Joachim Selbig, Zoran Nikoloski

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Complex networks have been successfully employed to represent different levels of biological systems, ranging from gene regulation to protein?protein interactions and metabolism. Network-based research has mainly focused on identifying unifying structural properties, such as small average path length, large clustering coefficient, heavy-tail degree distribution and hierarchical organization, viewed as requirements for efficient and robust system architectures. However, for biological networks, it is unclear to what extent these properties reflect the evolutionary history of the represented systems. Here, we show that the salient structural properties of six metabolic networks from all kingdoms of life may be inherently related to the evolution and functional organization of metabolism by employing network randomization under mass balance constraints. Contrary to the results from the common Markov-chain switching algorithm, our findings suggest the evolutionary importance of the small-world hypothesis as a fundamental design principle of complex networks. The approach may help us to determine the biologically meaningful properties that result from evolutionary pressure imposed on metabolism, such as the global impact of local reaction knockouts. Moreover, the approach can be applied to test to what extent novel structural properties can be used to draw biologically meaningful hypothesis or predictions from structure alone.
Original languageEnglish
Pages (from-to)1168-1176
Number of pages9
JournalJournal of the Royal Society Interface
Volume9
Issue number71
Early online date30 Nov 2011
DOIs
Publication statusPublished - Jun 2012

Fingerprint

Metabolic Networks and Pathways
Metabolism
Structural properties
Complex networks
Proteins
Markov Chains
Biological systems
Random Allocation
Gene expression
Markov processes
Cluster Analysis
History
Pressure
Research
Genes

Keywords

  • metabolic networks
  • significance
  • randomization
  • null model
  • centrality

Cite this

Basler, G., Grimbs, S., Ebenhöh, O., Selbig, J., & Nikoloski, Z. (2012). Evolutionary significance of metabolic network properties. Journal of the Royal Society Interface, 9(71), 1168-1176. https://doi.org/10.1098/rsif.2011.0652

Evolutionary significance of metabolic network properties. / Basler, Georg; Grimbs, Sergio; Ebenhöh, Oliver; Selbig, Joachim; Nikoloski, Zoran.

In: Journal of the Royal Society Interface, Vol. 9, No. 71, 06.2012, p. 1168-1176.

Research output: Contribution to journalArticle

Basler, G, Grimbs, S, Ebenhöh, O, Selbig, J & Nikoloski, Z 2012, 'Evolutionary significance of metabolic network properties' Journal of the Royal Society Interface, vol. 9, no. 71, pp. 1168-1176. https://doi.org/10.1098/rsif.2011.0652
Basler, Georg ; Grimbs, Sergio ; Ebenhöh, Oliver ; Selbig, Joachim ; Nikoloski, Zoran. / Evolutionary significance of metabolic network properties. In: Journal of the Royal Society Interface. 2012 ; Vol. 9, No. 71. pp. 1168-1176.
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