1 Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras , Chennai 600036 , India.
2 Initiative for Biological Systems Engineering (IBSE), Indian Institute of Technology Madras , Chennai 600036 , India.
Proc Biol Sci. 2019 Mar 13;286(1898):20190098. doi: 10.1098/rspb.2019.0098.
Microorganisms are ubiquitous and adapt to various dynamic environments to sustain growth. These adaptations accumulate, generating new traits forming the basis of evolution. Organisms adapt at various levels, such as gene regulation, signalling, protein-protein interactions and metabolism. Of these, metabolism forms the integral core of an organism for maintaining the growth and function of a cell. Therefore, studying adaptations in metabolic networks is crucial to understand the emergence of novel metabolic capabilities. Metabolic networks, composed of enzyme-catalysed reactions, exhibit certain repeating paradigms or design principles that arise out of different selection pressures. In this review, we discuss the design principles that are known to exist in metabolic networks, such as functional redundancy, modularity, flux coupling and exaptations. We elaborate on the studies that have helped gain insights highlighting the interplay of these design principles and adaptation. Further, we discuss how evolution plays a role in exploiting such paradigms to enhance the robustness of organisms. Looking forward, we predict that with the availability of ever-increasing numbers of bacterial, archaeal and eukaryotic genomic sequences, novel design principles will be identified, expanding our understanding of these paradigms shaped by varied evolutionary processes.
微生物无处不在,它们适应各种动态环境以维持生长。这些适应不断积累,产生新的特征,形成进化的基础。生物在不同层次上进行适应,如基因调控、信号转导、蛋白质-蛋白质相互作用和代谢。其中,代谢为生物体提供了维持细胞生长和功能的整体核心。因此,研究代谢网络中的适应对于理解新的代谢能力的出现至关重要。代谢网络由酶促反应组成,表现出某些重复的模式或设计原则,这些原则源于不同的选择压力。在这篇综述中,我们讨论了已知存在于代谢网络中的设计原则,如功能冗余、模块性、通量耦合和适应。我们详细阐述了有助于深入了解这些设计原则和适应相互作用的研究。此外,我们还讨论了进化如何在利用这些模式来增强生物体的鲁棒性方面发挥作用。展望未来,我们预测随着越来越多的细菌、古菌和真核生物基因组序列的出现,将发现新的设计原则,从而扩展我们对这些由不同进化过程塑造的模式的理解。