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Open Access Highly Accessed Research article

Structural comparison of metabolic networks in selected single cell organisms

Dongxiao Zhu13 and Zhaohui S Qin2*

Author Affiliations

1 Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA

2 Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA

3 Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA

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BMC Bioinformatics 2005, 6:8  doi:10.1186/1471-2105-6-8

Published: 14 January 2005

Abstract

Background

There has been tremendous interest in the study of biological network structure. An array of measurements has been conceived to assess the topological properties of these networks. In this study, we compared the metabolic network structures of eleven single cell organisms representing the three domains of life using these measurements, hoping to find out whether the intrinsic network design principle(s), reflected by these measurements, are different among species in the three domains of life.

Results

Three groups of topological properties were used in this study: network indices, degree distribution measures and motif profile measure. All of which are higher-level topological properties except for the marginal degree distribution. Metabolic networks in Archaeal species are found to be different from those in S. cerevisiae and the six Bacterial species in almost all measured higher-level topological properties. Our findings also indicate that the metabolic network in Archaeal species is similar to the exponential random network.

Conclusion

If these metabolic network properties of the organisms studied can be extended to other species in their respective domains (which is likely), then the design principle(s) of Archaea are fundamentally different from those of Bacteria and Eukaryote. Furthermore, the functional mechanisms of Archaeal metabolic networks revealed in this study differentiate significantly from those of Bacterial and Eukaryotic organisms, which warrant further investigation.