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代谢物的生物合成潜力及其层次组织。

Biosynthetic potentials of metabolites and their hierarchical organization.

作者信息

Matthäus Franziska, Salazar Carlos, Ebenhöh Oliver

机构信息

Interdisciplinary Center for Scientific Computing, University of Heidelberg, Heidelberg, Germany.

出版信息

PLoS Comput Biol. 2008 Apr 4;4(4):e1000049. doi: 10.1371/journal.pcbi.1000049.

Abstract

A major challenge in systems biology is to understand how complex and highly connected metabolic networks are organized. The structure of these networks is investigated here by identifying sets of metabolites that have a similar biosynthetic potential. We measure the biosynthetic potential of a particular compound by determining all metabolites than can be produced from it and, following a terminology introduced previously, call this set the scope of the compound. To identify groups of compounds with similar scopes, we apply a hierarchical clustering method. We find that compounds within the same cluster often display similar chemical structures and appear in the same metabolic pathway. For each cluster we define a consensus scope by determining a set of metabolites that is most similar to all scopes within the cluster. This allows for a generalization from scopes of single compounds to scopes of a chemical family. We observe that most of the resulting consensus scopes overlap or are fully contained in others, revealing a hierarchical ordering of metabolites according to their biosynthetic potential. Our investigations show that this hierarchy is not only determined by the chemical complexity of the metabolites, but also strongly by their biological function. As a general tendency, metabolites which are necessary for essential cellular processes exhibit a larger biosynthetic potential than those involved in secondary metabolism. A central result is that chemically very similar substances with different biological functions may differ significantly in their biosynthetic potentials. Our studies provide an important step towards understanding fundamental design principles of metabolic networks determined by the structural and functional complexity of metabolites.

摘要

系统生物学中的一个主要挑战是理解复杂且高度连通的代谢网络是如何组织的。本文通过识别具有相似生物合成潜力的代谢物集合来研究这些网络的结构。我们通过确定由特定化合物能够产生的所有代谢物来衡量该化合物的生物合成潜力,并遵循先前引入的术语,将这个集合称为该化合物的范围。为了识别具有相似范围的化合物组,我们应用了层次聚类方法。我们发现同一簇内的化合物通常具有相似的化学结构,并且出现在相同的代谢途径中。对于每个簇,我们通过确定一组与簇内所有范围最相似的代谢物来定义一个共识范围。这使得我们能够从单个化合物的范围推广到一个化学家族的范围。我们观察到,大多数所得的共识范围相互重叠或完全包含在其他范围内,揭示了根据代谢物的生物合成潜力的层次排序。我们的研究表明,这种层次结构不仅由代谢物的化学复杂性决定,还强烈地由它们的生物学功能决定。一般来说,对于基本细胞过程必需的代谢物比参与次生代谢的代谢物具有更大的生物合成潜力。一个核心结果是,具有不同生物学功能的化学上非常相似的物质在其生物合成潜力上可能有显著差异。我们的研究为理解由代谢物的结构和功能复杂性决定的代谢网络的基本设计原则迈出了重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f923/2289774/71688348a67b/pcbi.1000049.g001.jpg

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