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Adaptation of Microorganisms to Cold Temperatures, Weak Acid Preservatives, Low pH, and Osmotic Stress: A Review.微生物对低温、弱酸防腐剂、低pH值和渗透胁迫的适应性:综述
Compr Rev Food Sci Food Saf. 2004 Jan;3(1):1-20. doi: 10.1111/j.1541-4337.2004.tb00057.x.
2
Understanding the evolution of functional redundancy in metabolic networks.理解代谢网络中功能冗余的进化。
Bioinformatics. 2018 Sep 1;34(17):i981-i987. doi: 10.1093/bioinformatics/bty604.
3
Exploiting the synthetic lethality between terminal respiratory oxidases to kill and clear host infection.利用末端呼吸氧化酶之间的合成致死性来杀死和清除宿主感染。
Proc Natl Acad Sci U S A. 2017 Jul 11;114(28):7426-7431. doi: 10.1073/pnas.1706139114. Epub 2017 Jun 26.
4
PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY.视角:复杂适应与进化能力的演变
Evolution. 1996 Jun;50(3):967-976. doi: 10.1111/j.1558-5646.1996.tb02339.x.
5
Crosstalk and the Dynamical Modularity of Feed-Forward Loops in Transcriptional Regulatory Networks.转录调控网络中前馈环的串扰与动态模块化
Biophys J. 2017 Apr 25;112(8):1539-1550. doi: 10.1016/j.bpj.2017.02.044.
6
Experimental Evolution of Metabolic Dependency in Bacteria.细菌中代谢依赖性的实验进化
PLoS Genet. 2016 Nov 4;12(11):e1006364. doi: 10.1371/journal.pgen.1006364. eCollection 2016 Nov.
7
The potential for non-adaptive origins of evolutionary innovations in central carbon metabolism.中心碳代谢中进化创新的非适应性起源的可能性。
BMC Syst Biol. 2016 Oct 21;10(1):97. doi: 10.1186/s12918-016-0343-7.
8
Synthetic lethality in lung cancer and translation to clinical therapies.肺癌中的合成致死性及其向临床治疗的转化。
Mol Cancer. 2016 Sep 29;15(1):61. doi: 10.1186/s12943-016-0546-y.
9
Modular engineering of cellular signaling proteins and networks.细胞信号蛋白与网络的模块化工程
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Adaptive evolution of complex innovations through stepwise metabolic niche expansion.通过逐步代谢生态位扩展实现复杂创新的适应性进化。
Nat Commun. 2016 May 20;7:11607. doi: 10.1038/ncomms11607.

代谢中的进化设计原则。

Evolutionary design principles in metabolism.

机构信息

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.

出版信息

Proc Biol Sci. 2019 Mar 13;286(1898):20190098. doi: 10.1098/rspb.2019.0098.

DOI:10.1098/rspb.2019.0098
PMID:30836874
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6458322/
Abstract

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.

摘要

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。