The evolution of the metabolic network over long timelines

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Markus Ralser , Sreejith J. Varma , Richard A. Notebaart
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引用次数: 3

Abstract

Metabolism is executed by an efficient, interconnected and ancient biochemical system, the metabolic network. Its evolutionary origins are, however, barely understood. We here discuss that because of niche adaptation, the evolutionary selection acting on the metabolic network structure distinguishes modern species and early life forms. Yet, its basic structure remained conserved over more than three billion years of diverging evolution. We speculate that this situation attributes key roles in metabolic network evolution to (i) the reaction properties of central metabolites, (ii) simple catalysts (e.g. metal ions, amino acids) whose importance remained unchanged during evolution, and (iii) the interconnectivity of the network that limits its expansion. The conservation of network structure hence implies that early life forms already used similar metabolic reaction topologies as modern species.

长时间内代谢网络的进化
新陈代谢是由一个有效的、相互联系的、古老的生化系统——代谢网络来完成的。然而,它的进化起源却鲜为人知。我们在这里讨论了由于生态位适应,作用于代谢网络结构的进化选择区分了现代物种和早期生命形式。然而,它的基本结构在30多亿年的分化进化中仍然保持不变。我们推测,这种情况将代谢网络进化的关键作用归因于(i)中心代谢物的反应性质,(ii)在进化过程中重要性保持不变的简单催化剂(如金属离子、氨基酸),以及(iii)限制其扩展的网络互连性。因此,网络结构的守恒意味着早期的生命形式已经使用了与现代物种相似的代谢反应拓扑结构。
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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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