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Genetic background and mistranslation frequency determine the impact of mistranslating tRNASerUGG.
Berg, Matthew D; Zhu, Yanrui; Loll-Krippleber, Raphaël; San Luis, Bryan-Joseph; Genereaux, Julie; Boone, Charles; Villén, Judit; Brown, Grant W; Brandl, Christopher J.
  • Berg MD; Department of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.
  • Zhu Y; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
  • Loll-Krippleber R; Department of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.
  • San Luis BJ; Department of Biochemistry, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
  • Genereaux J; Department of Molecular Genetics, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • Boone C; Department of Biochemistry, The University of Western Ontario, London, ON N6A 5C1, Canada.
  • Villén J; Department of Molecular Genetics, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • Brown GW; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
  • Brandl CJ; Department of Biochemistry, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
G3 (Bethesda) ; 12(7)2022 07 06.
Article en En | MEDLINE | ID: mdl-35587152
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 tRNASerUGG,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 tRNASerUGG,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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Biosíntesis de Proteínas Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Biosíntesis de Proteínas Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article