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• W2913136788 startingPage "111" @default.
• W2913136788 abstract "Codon usage bias (CUB) is a universal feature of genomes, and in most species CUB of protein coding genes is positively correlated with expression level and degree of evolutionary conservation. There is mounting experimental evidence that CUB is due in part to selection for translational efficiency and/or accuracy, i.e., translational selection. However, there is a paucity of experimental data on whether and how CUB acts in trans - does the usage of preferred codons in a highly expressed gene affect the translation of other genes by freeing up more ribosomes, thereby increasing their availability to translate all mRNA transcripts in the cell? We investigated this question by creating two extreme versions of the highly expressed Escherichia coli β-lactamase (bla) gene, one comprised almost entirely of unpreferred codons, and a second comprised almost entirely of preferred codons. We monitored the fitness effects of these synonymous mutations over hundreds of generations in two selective environments that allowed us to disentangle translational effects acting in cis from those acting in trans. In a selective environment for maximizing translational efficiency in trans of a gene (tetA) encoding a tetracycline resistance protein, unpreferred synonymous mutations had a negative impact on long-term fitness, whereas preferred mutations had a positive impact on long-term fitness, providing strong experimental evidence for a pleiotropic effect of translational selection." @default.
• W2913136788 created "2019-02-21" @default.
• W2913136788 creator A5006508439 @default.
• W2913136788 creator A5035225765 @default.
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• W2913136788 date "2019-04-01" @default.
• W2913136788 modified "2023-10-18" @default.
• W2913136788 title "The fitness consequences of synonymous mutations in Escherichia coli: Experimental evidence for a pleiotropic effect of translational selection" @default.
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• W2913136788 doi "https://doi.org/10.1016/j.gene.2019.01.031" @default.
• W2913136788 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30738968" @default.
• W2913136788 hasPublicationYear "2019" @default.
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