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代谢网络的大规模组织

The large-scale organization of metabolic networks.

作者信息

Jeong H, Tombor B, Albert R, Oltvai Z N, Barabási A L

机构信息

Department of Physics, University of Notre Dame, Indiana 46556, USA.

出版信息

Nature. 2000 Oct 5;407(6804):651-4. doi: 10.1038/35036627.

Abstract

In a cell or microorganism, the processes that generate mass, energy, information transfer and cell-fate specification are seamlessly integrated through a complex network of cellular constituents and reactions. However, despite the key role of these networks in sustaining cellular functions, their large-scale structure is essentially unknown. Here we present a systematic comparative mathematical analysis of the metabolic networks of 43 organisms representing all three domains of life. We show that, despite significant variation in their individual constituents and pathways, these metabolic networks have the same topological scaling properties and show striking similarities to the inherent organization of complex non-biological systems. This may indicate that metabolic organization is not only identical for all living organisms, but also complies with the design principles of robust and error-tolerant scale-free networks, and may represent a common blueprint for the large-scale organization of interactions among all cellular constituents.

摘要

在细胞或微生物中,产生物质、能量、信息传递和细胞命运决定的过程通过细胞成分和反应的复杂网络无缝整合在一起。然而,尽管这些网络在维持细胞功能中起着关键作用,但其大规模结构基本上仍不为人知。在此,我们对代表生命所有三个域的43种生物的代谢网络进行了系统的比较数学分析。我们表明,尽管它们的个体成分和途径存在显著差异,但这些代谢网络具有相同的拓扑缩放特性,并且与复杂非生物系统的固有组织表现出惊人的相似性。这可能表明,代谢组织不仅对所有生物体都是相同的,而且符合稳健且容错的无标度网络的设计原则,并且可能代表了所有细胞成分之间相互作用的大规模组织的通用蓝图。

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