Literature DB >> 30836874

Evolutionary design principles in metabolism.

Gayathri Sambamoorthy1,2,3, Himanshu Sinha1,2,3, Karthik Raman1,2,3.   

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.

Keywords:  adaptation; design principles; metabolic networks; robustness; systems biology

Mesh:

Year:  2019        PMID: 30836874      PMCID: PMC6458322          DOI: 10.1098/rspb.2019.0098

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  74 in total

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4.  eSGA: E. coli synthetic genetic array analysis.

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Journal:  Nat Methods       Date:  2008-09       Impact factor: 28.547

5.  Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality.

Authors:  Livnat Jerby-Arnon; Nadja Pfetzer; Yedael Y Waldman; Lynn McGarry; Daniel James; Emma Shanks; Brinton Seashore-Ludlow; Adam Weinstock; Tamar Geiger; Paul A Clemons; Eyal Gottlieb; Eytan Ruppin
Journal:  Cell       Date:  2014-08-28       Impact factor: 41.582

6.  F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks.

Authors:  Abdelhalim Larhlimi; Laszlo David; Joachim Selbig; Alexander Bockmayr
Journal:  BMC Bioinformatics       Date:  2012-04-23       Impact factor: 3.169

7.  Extremophiles and extreme environments.

Authors:  Pabulo Henrique Rampelotto
Journal:  Life (Basel)       Date:  2013-08-07

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Authors:  Sayed-Rzgar Hosseini; Andreas Wagner
Journal:  BMC Syst Biol       Date:  2016-10-21

Review 9.  Modular engineering of cellular signaling proteins and networks.

Authors:  Russell M Gordley; Lukasz J Bugaj; Wendell A Lim
Journal:  Curr Opin Struct Biol       Date:  2016-07-15       Impact factor: 6.809

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Authors:  Richard A Notebaart; Bas Teusink; Roland J Siezen; Balázs Papp
Journal:  PLoS Comput Biol       Date:  2008-01       Impact factor: 4.475

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2.  Genetic Context Significantly Influences the Maintenance and Evolution of Degenerate Pathways.

Authors:  Eric L Bruger; Lon M Chubiz; José I Rojas Echenique; Caleb J Renshaw; Nora Victoria Espericueta; Jeremy A Draghi; Christopher J Marx
Journal:  Genome Biol Evol       Date:  2021-06-08       Impact factor: 3.416

3.  Metabolic Adaptations to Marine Environments: Molecular Diversity and Evolution of Ovothiol Biosynthesis in Bacteria.

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