Literature DB >> 29030023

On universal coding events in protein biogenesis.

Vladimir Kubyshkin1, Carlos G Acevedo-Rocha2, Nediljko Budisa3.   

Abstract

The complete ribosomal protein synthesis cycle and codon-amino acids associations are universally preserved in all life taxa on Earth. This process is accompanied by a set of hierarchically organized recognition and controlling events at different complexity levels. It starts with amino acid activation by aminoacyl tRNA synthetases (aaRS) followed by matching with the acceptor units of their cognate tRNAs ("operational RNA code") and ribosomal codon-anticodon pairing of messenger RNA ("triplet code"). However, this codon-anticodon matching is possible only when protein translation machinery (translation factors, ribosome) accepts an esterified amino acid. This capacity ("charge code") correlates mainly with the amino acid nature and the identity elements in the tRNA 3D structure. A fourth potential "folding code" (also referred as "stereochemical code") between the translation dynamics, sequence composition and folding of the resulting protein can also be defined in the frame of the 'Anfinsen dogma' followed by post-translational modifications. All these coding events as well as the basic chemistry of life are deemed invariant across biological taxa due to the horizontal gene transfer (HGT) making the 'universal genetic code' the 'lingua franca' of life of earth. When cells (or organelles) are prevented from transmitting genetic information (i.e., HGT) the deviations in the above-mentioned coding events become inevitable. A better understanding of these codes, in particular the mechanisms of their conservation in the context of HGT could provide a guide for the experimental engineering1 of the ribosomal protein biosynthesis machinery. This is highly relevant, among others, in attempts to create synthetic life forms in genetic isolation by using tailored "minimal genomes" and may explain the necessity for multiple coding evens in nature.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biocontainment; Code biology; Engineering and expansion; Genetic isolation; Horizontal gene transfer; Minimal genome; Operational RNA code; Protein folding; Ribosomal translation; Synthetic biology; Xenobiology; tRNA

Mesh:

Substances:

Year:  2017        PMID: 29030023     DOI: 10.1016/j.biosystems.2017.10.004

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  7 in total

Review 1.  Understanding the Genetic Code.

Authors:  Milton H Saier
Journal:  J Bacteriol       Date:  2019-07-10       Impact factor: 3.490

Review 2.  Incorporation of non-standard amino acids into proteins: challenges, recent achievements, and emerging applications.

Authors:  Xing Jin; Oh-Jin Park; Seok Hoon Hong
Journal:  Appl Microbiol Biotechnol       Date:  2019-02-21       Impact factor: 4.813

Review 3.  Genetic Code Engineering by Natural and Unnatural Base Pair Systems for the Site-Specific Incorporation of Non-Standard Amino Acids Into Proteins.

Authors:  Michiko Kimoto; Ichiro Hirao
Journal:  Front Mol Biosci       Date:  2022-05-24

Review 4.  Auxotrophy to Xeno-DNA: an exploration of combinatorial mechanisms for a high-fidelity biosafety system for synthetic biology applications.

Authors:  Christopher M Whitford; Saskia Dymek; Denise Kerkhoff; Camilla März; Olga Schmidt; Maximilian Edich; Julian Droste; Boas Pucker; Christian Rückert; Jörn Kalinowski
Journal:  J Biol Eng       Date:  2018-08-14       Impact factor: 4.355

5.  Bacterial Aspartyl-tRNA Synthetase Has Glutamyl-tRNA Synthetase Activity.

Authors:  Udumbara M Rathnayake; Tamara L Hendrickson
Journal:  Genes (Basel)       Date:  2019-04-01       Impact factor: 4.096

Review 6.  The Alanine World Model for the Development of the Amino Acid Repertoire in Protein Biosynthesis.

Authors:  Vladimir Kubyshkin; Nediljko Budisa
Journal:  Int J Mol Sci       Date:  2019-11-05       Impact factor: 5.923

Review 7.  From Molecular Recognition to the "Vehicles" of Evolutionary Complexity: An Informational Approach.

Authors:  Pedro C Marijuán; Jorge Navarro
Journal:  Int J Mol Sci       Date:  2021-11-04       Impact factor: 5.923

  7 in total

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