Codon-Resolution Analysis Reveals a Direct and Context-Dependent Impact of Individual Synonymous Mutations on mRNA Level. (24th August 2017)

• Record Type: Journal Article
• Authors: Chen, Siyu; Li, Ke; Cao, Wenqing; Wang, Jia; Zhao, Tong; Huan, Qing; Yang, Yu-Fei; Wu, Shaohuan; Qian, Wenfeng
• Is Part Of: Molecular biology and evolution. Volume 34:Number 11(2017:Nov.)
• Page Start: 2944
• Page End: 2958
• Publication Date: 2017-08-24
• Subjects: codon usage bias -- synonymous mutations -- context-dependent effect -- mRNA secondary structure -- yeast; Molecular biology -- Periodicals; Molecular evolution -- Periodicals; Evolution, Molecular -- Periodicals; Molecular Biology -- Periodicals; 572.8
• DOI: 10.1093/molbev/msx229
• Languages: English
• ISSNs: 0737-4038

Abstract

Abstract: Codon usage bias (CUB) refers to the observation that synonymous codons are not used equally frequently in a genome. CUB is stronger in more highly expressed genes, a phenomenon commonly explained by stronger natural selection on translational accuracy and/or efficiency among these genes. Nevertheless, this phenomenon could also occur if CUB regulates gene expression at the mRNA level, a hypothesis that has not been tested until recently. Here, we attempt to quantify the impact of synonymous mutations on mRNA level in yeast using 3, 556 synonymous variants of a heterologous gene encoding green fluorescent protein ( GFP ) and 523 synonymous variants of an endogenous gene TDH3 . We found that mRNA level was positively correlated with CUB among these synonymous variants, demonstrating a direct role of CUB in regulating transcript concentration, likely via regulating mRNA degradation rate, as our additional experiments suggested. More importantly, we quantified the effects of individual synonymous mutations on mRNA level and found them dependent on 1) CUB and 2) mRNA secondary structure, both in proximal sequence contexts. Our study reveals the pleiotropic effects of synonymous codon usage and provides an additional explanation for the well-known correlation between CUB and gene expression level.