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物种特异性代谢网络的生物合成潜力。

Biosynthetic potentials from species-specific metabolic networks.

作者信息

Basler Georg, Nikoloski Zoran, Ebenhöh Oliver, Handorf Thomas

机构信息

Institute for Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany.

出版信息

Genome Inform. 2008;20:135-48.

Abstract

Studies of genome-scale metabolic networks allow for qualitative and quantitative descriptions of an organism's capability to convert nutrients into products. The set of synthesizable products strongly depends on the provided nutrients as well as on the structure of the metabolic network. Here, we apply the method of network expansion and the concept of scopes, describing the synthesizing capacities of an organism when certain nutrients are provided. We analyze the biosynthetic properties of four species: Arabidopsis thaliana, Saccharomyces cerevisiae, Buchnera aphidicola, and Escherichia coli. Matthäus et al. have recently developed a method to identify clusters of scopes, reflecting specific biological functions and exhibiting a hierarchical arrangement, using the network comprising all reactions in KEGG. We extend this method by considering random sets of nutrients on well-curated networks of the investigated species from BioCyc. We identify structural properties of the networks that allow to differentiate their biosynthetic capabilities. Furthermore, we evaluate the quality of the clustering of scopes applied to the species-specific networks. Our study provides a novel assessment of the biosynthetic properties of different species.

摘要

对基因组规模代谢网络的研究能够对生物体将营养物质转化为产物的能力进行定性和定量描述。可合成产物的集合强烈依赖于所提供的营养物质以及代谢网络的结构。在此,我们应用网络扩展方法和范围概念,描述了在提供某些营养物质时生物体的合成能力。我们分析了四种物种的生物合成特性:拟南芥、酿酒酵母、蚜虫内共生菌和大肠杆菌。马修斯等人最近开发了一种方法,利用KEGG中所有反应构成的网络来识别范围簇,这些范围簇反映特定生物学功能并呈现层次排列。我们通过考虑来自BioCyc的所研究物种的精心策划网络上的随机营养物质集来扩展此方法。我们识别出能够区分其生物合成能力的网络结构特性。此外,我们评估了应用于物种特异性网络的范围聚类的质量。我们的研究为不同物种的生物合成特性提供了一种新颖的评估。

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