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Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)

Transfer RNA variants increase the frequency of mistranslation, the misincorporation of an amino acid not specified by the “standard” genetic code, to frequencies approaching 10% in yeast and bacteria. Cells cope with these variants by having multiple copies of each tRNA isodecoder and through pathw...

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Autores principales: Berg, Matthew D, Zhu, Yanrui, Loll-Krippleber, Raphaël, San Luis, Bryan-Joseph, Genereaux, Julie, Boone, Charles, Villén, Judit, Brown, Grant W, Brandl, Christopher J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258585/
https://www.ncbi.nlm.nih.gov/pubmed/35587152
http://dx.doi.org/10.1093/g3journal/jkac125
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author Berg, Matthew D
Zhu, Yanrui
Loll-Krippleber, Raphaël
San Luis, Bryan-Joseph
Genereaux, Julie
Boone, Charles
Villén, Judit
Brown, Grant W
Brandl, Christopher J
author_facet Berg, Matthew D
Zhu, Yanrui
Loll-Krippleber, Raphaël
San Luis, Bryan-Joseph
Genereaux, Julie
Boone, Charles
Villén, Judit
Brown, Grant W
Brandl, Christopher J
author_sort Berg, Matthew D
collection PubMed
description Transfer RNA variants increase the frequency of mistranslation, the misincorporation of an amino acid not specified by the “standard” genetic code, to frequencies approaching 10% in yeast and bacteria. Cells cope with these variants by having multiple copies of each tRNA isodecoder and through pathways that deal with proteotoxic stress. In this study, we define the genetic interactions of the gene encoding tRNA(Ser)(UGG,G26A), which mistranslates serine at proline codons. Using a collection of yeast temperature-sensitive alleles, we identify negative synthetic genetic interactions between the mistranslating tRNA and 109 alleles representing 91 genes, with nearly half of the genes having roles in RNA processing or protein folding and turnover. By regulating tRNA expression, we then compare the strength of the negative genetic interaction for a subset of identified alleles under differing amounts of mistranslation. The frequency of mistranslation correlated with the impact on cell growth for all strains analyzed; however, there were notable differences in the extent of the synthetic interaction at different frequencies of mistranslation depending on the genetic background. For many of the strains, the extent of the negative interaction with tRNA(Ser)(UGG,G26A) was proportional to the frequency of mistranslation or only observed at intermediate or high frequencies. For others, the synthetic interaction was approximately equivalent at all frequencies of mistranslation. As humans contain similar mistranslating tRNAs, these results are important when analyzing the impact of tRNA variants on disease, where both the individual’s genetic background and the expression of the mistranslating tRNA variant need to be considered.
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spelling pubmed-92585852022-07-07 Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG) Berg, Matthew D Zhu, Yanrui Loll-Krippleber, Raphaël San Luis, Bryan-Joseph Genereaux, Julie Boone, Charles Villén, Judit Brown, Grant W Brandl, Christopher J G3 (Bethesda) Mutant Screen Report Transfer RNA variants increase the frequency of mistranslation, the misincorporation of an amino acid not specified by the “standard” genetic code, to frequencies approaching 10% in yeast and bacteria. Cells cope with these variants by having multiple copies of each tRNA isodecoder and through pathways that deal with proteotoxic stress. In this study, we define the genetic interactions of the gene encoding tRNA(Ser)(UGG,G26A), which mistranslates serine at proline codons. Using a collection of yeast temperature-sensitive alleles, we identify negative synthetic genetic interactions between the mistranslating tRNA and 109 alleles representing 91 genes, with nearly half of the genes having roles in RNA processing or protein folding and turnover. By regulating tRNA expression, we then compare the strength of the negative genetic interaction for a subset of identified alleles under differing amounts of mistranslation. The frequency of mistranslation correlated with the impact on cell growth for all strains analyzed; however, there were notable differences in the extent of the synthetic interaction at different frequencies of mistranslation depending on the genetic background. For many of the strains, the extent of the negative interaction with tRNA(Ser)(UGG,G26A) was proportional to the frequency of mistranslation or only observed at intermediate or high frequencies. For others, the synthetic interaction was approximately equivalent at all frequencies of mistranslation. As humans contain similar mistranslating tRNAs, these results are important when analyzing the impact of tRNA variants on disease, where both the individual’s genetic background and the expression of the mistranslating tRNA variant need to be considered. Oxford University Press 2022-05-19 /pmc/articles/PMC9258585/ /pubmed/35587152 http://dx.doi.org/10.1093/g3journal/jkac125 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Mutant Screen Report
Berg, Matthew D
Zhu, Yanrui
Loll-Krippleber, Raphaël
San Luis, Bryan-Joseph
Genereaux, Julie
Boone, Charles
Villén, Judit
Brown, Grant W
Brandl, Christopher J
Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title_full Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title_fullStr Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title_full_unstemmed Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title_short Genetic background and mistranslation frequency determine the impact of mistranslating tRNA(Ser)(UGG)
title_sort genetic background and mistranslation frequency determine the impact of mistranslating trna(ser)(ugg)
topic Mutant Screen Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258585/
https://www.ncbi.nlm.nih.gov/pubmed/35587152
http://dx.doi.org/10.1093/g3journal/jkac125
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