Literature DB >> 30579955

Many alternative and theoretical genetic codes are more robust to amino acid replacements than the standard genetic code.

Paweł Błażej1, Małgorzata Wnętrzak1, Dorota Mackiewicz1, Przemysław Gagat1, Paweł Mackiewicz2.   

Abstract

We evaluated the differences between the standard genetic code (SGC) and its known alternative variants in terms of the consequences of amino acids replacements. Furthermore, the properties of all the possible theoretical genetic codes, which differ from the SGC by one, two or three changes in codon assignments were also tested. Although the SGC is closer to the best theoretical codes than to the worst ones due to the minimization of amino acid replacements, from 10% to 27% of the all possible theoretical codes minimize the effect of these replacements better than the SGC. Interestingly, many types of codon reassignments observed in the alternative codes are also responsible for the substantial robustness to amino acid replacements. As many as 18 out of 21 alternatives perform better than the SGC under the assumed optimization criteria. These findings suggest that not all reassignments in the alternative codes are neutral and some of them could be selected to reduce harmful effects of mutations or translation of protein-coding sequences. The results also imply that the standard genetic code can be improved in this respect by a quite small number of changes, which are in fact realized in its variants. It would mean that the tendency to minimize mutational errors was not the main force that drove the evolution of the SGC.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Keywords:  Alternative genetic codes; Amino acid; Mutation; Optimization; Standard genetic code

Mesh:

Substances:

Year:  2018        PMID: 30579955     DOI: 10.1016/j.jtbi.2018.12.030

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Some theoretical aspects of reprogramming the standard genetic code.

Authors:  Kuba Nowak; Paweł Błażej; Małgorzata Wnetrzak; Dorota Mackiewicz; Paweł Mackiewicz
Journal:  Genetics       Date:  2021-05-17       Impact factor: 4.562

2.  The influence of different types of translational inaccuracies on the genetic code structure.

Authors:  Paweł BłaŻej; Małgorzata Wnetrzak; Dorota Mackiewicz; Paweł Mackiewicz
Journal:  BMC Bioinformatics       Date:  2019-03-06       Impact factor: 3.169

3.  Model of Genetic Code Structure Evolution under Various Types of Codon Reading.

Authors:  Paweł Błażej; Konrad Pawlak; Dorota Mackiewicz; Paweł Mackiewicz
Journal:  Int J Mol Sci       Date:  2022-02-01       Impact factor: 5.923

4.  Phylogenetic analysis of mutational robustness based on codon usage supports that the standard genetic code does not prefer extreme environments.

Authors:  Ádám Radványi; Ádám Kun
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

5.  Genetic codes optimized as a traveling salesman problem.

Authors:  Oliver Attie; Brian Sulkow; Chong Di; Weigang Qiu
Journal:  PLoS One       Date:  2019-10-28       Impact factor: 3.240

6.  On the Origin of Frameshift-Robustness of the Standard Genetic Code.

Authors:  Haiqing Xu; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2021-09-27       Impact factor: 16.240

  6 in total

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