A computational screen for alternative genetic codes in over 250,000 genomes

The genetic code has been proposed to be a ‘frozen accident,’ but the discovery of alternative genetic codes over the past four decades has shown that it can evolve to some degree. Since most examples were found anecdotally, it is difficult to draw general conclusions about the evolutionary trajecto...

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Autores principales: Yekaterina Shulgina, Sean R Eddy
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Publicado: eLife Sciences Publications Ltd 2021
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Acceso en línea:https://doaj.org/article/7ee984b127284ab394a1bc64f8d7cb99
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spelling oai:doaj.org-article:7ee984b127284ab394a1bc64f8d7cb992021-12-02T16:32:56ZA computational screen for alternative genetic codes in over 250,000 genomes10.7554/eLife.714022050-084Xe71402https://doaj.org/article/7ee984b127284ab394a1bc64f8d7cb992021-11-01T00:00:00Zhttps://elifesciences.org/articles/71402https://doaj.org/toc/2050-084XThe genetic code has been proposed to be a ‘frozen accident,’ but the discovery of alternative genetic codes over the past four decades has shown that it can evolve to some degree. Since most examples were found anecdotally, it is difficult to draw general conclusions about the evolutionary trajectories of codon reassignment and why some codons are affected more frequently. To fill in the diversity of genetic codes, we developed Codetta, a computational method to predict the amino acid decoding of each codon from nucleotide sequence data. We surveyed the genetic code usage of over 250,000 bacterial and archaeal genome sequences in GenBank and discovered five new reassignments of arginine codons (AGG, CGA, and CGG), representing the first sense codon changes in bacteria. In a clade of uncultivated Bacilli, the reassignment of AGG to become the dominant methionine codon likely evolved by a change in the amino acid charging of an arginine tRNA. The reassignments of CGA and/or CGG were found in genomes with low GC content, an evolutionary force that likely helped drive these codons to low frequency and enable their reassignment.Yekaterina ShulginaSean R EddyeLife Sciences Publications Ltdarticlegenetic codecodon reassignmenttRNAcodettaMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic genetic code
codon reassignment
tRNA
codetta
Medicine
R
Science
Q
Biology (General)
QH301-705.5
spellingShingle genetic code
codon reassignment
tRNA
codetta
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Yekaterina Shulgina
Sean R Eddy
A computational screen for alternative genetic codes in over 250,000 genomes
description The genetic code has been proposed to be a ‘frozen accident,’ but the discovery of alternative genetic codes over the past four decades has shown that it can evolve to some degree. Since most examples were found anecdotally, it is difficult to draw general conclusions about the evolutionary trajectories of codon reassignment and why some codons are affected more frequently. To fill in the diversity of genetic codes, we developed Codetta, a computational method to predict the amino acid decoding of each codon from nucleotide sequence data. We surveyed the genetic code usage of over 250,000 bacterial and archaeal genome sequences in GenBank and discovered five new reassignments of arginine codons (AGG, CGA, and CGG), representing the first sense codon changes in bacteria. In a clade of uncultivated Bacilli, the reassignment of AGG to become the dominant methionine codon likely evolved by a change in the amino acid charging of an arginine tRNA. The reassignments of CGA and/or CGG were found in genomes with low GC content, an evolutionary force that likely helped drive these codons to low frequency and enable their reassignment.
format article
author Yekaterina Shulgina
Sean R Eddy
author_facet Yekaterina Shulgina
Sean R Eddy
author_sort Yekaterina Shulgina
title A computational screen for alternative genetic codes in over 250,000 genomes
title_short A computational screen for alternative genetic codes in over 250,000 genomes
title_full A computational screen for alternative genetic codes in over 250,000 genomes
title_fullStr A computational screen for alternative genetic codes in over 250,000 genomes
title_full_unstemmed A computational screen for alternative genetic codes in over 250,000 genomes
title_sort computational screen for alternative genetic codes in over 250,000 genomes
publisher eLife Sciences Publications Ltd
publishDate 2021
url https://doaj.org/article/7ee984b127284ab394a1bc64f8d7cb99
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