Zhu Dongxiao, Qin Zhaohui S
Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA.
BMC Bioinformatics. 2005 Jan 14;6:8. doi: 10.1186/1471-2105-6-8.
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.
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.
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.
生物网络结构的研究一直备受关注。人们构思了一系列测量方法来评估这些网络的拓扑特性。在本研究中,我们使用这些测量方法比较了代表生命三个域的11种单细胞生物的代谢网络结构,希望找出这些测量所反映的内在网络设计原则在生命三个域的物种之间是否存在差异。
本研究使用了三组拓扑特性:网络指标、度分布度量和基序概况度量。除边际度分布外,所有这些都是高级拓扑特性。在几乎所有测量的高级拓扑特性方面,古菌物种的代谢网络与酿酒酵母和六种细菌物种的代谢网络不同。我们的研究结果还表明,古菌物种的代谢网络类似于指数随机网络。
如果所研究生物的这些代谢网络特性能够扩展到其各自域中的其他物种(这很有可能),那么古菌的设计原则与细菌和真核生物的设计原则在根本上是不同的。此外,本研究中揭示的古菌代谢网络的功能机制与细菌和真核生物的功能机制有显著差异,值得进一步研究。