Differences in codon frequency between genomes, genes, or positions along a gene, modulate transcription and translation efficiency, leading to phenotypic and functional differences. Here, we present a multiscale analysis of the effects of synonymous codon recoding during heterologous gene expression in human cells, quantifying the phenotypic consequences of codon usage bias at different molecular and cellular levels, with an emphasis on translation elongation. Six synonymous versions of an antibiotic resistance gene were generated, fused to a fluorescent reporter, and independently expressed in HEK293 cells. Multiscale phenotype was analyzed by means of quantitative transcriptome and proteome assessment, as proxies for gene expression; cellular fluorescence, as a proxy for single-cell level expression; and real-time cell proliferation in absence or presence of antibiotic, as a proxy for the cell fitness. We show that differences in codon usage bias strongly impact the molecular and cellular phenotype: (i) they result in large differences in mRNA levels and protein levels, leading to differences of over 15 times in translation efficiency; (ii) they introduce unpredicted splicing events; (iii) they lead to reproducible phenotypic heterogeneity; and (iv) they lead to a trade-off between the benefit of antibiotic resistance and the burden of heterologous expression. In human cells in culture, codon usage bias modulates gene expression by modifying mRNA availability and suitability for translation, leading to differences in protein levels and eventually eliciting functional phenotypic changes.
The frequency of synonymous codons in protein coding genes is non-random and varies both between species and between genes within species. Whether this codon usage bias (CUBias) reflects underlying neutral mutational processes or is instead shaped by selection remains an open debate, especially regarding the role of selection for enhanced protein production. Variation in CUBias of a gene (be it natural synonymous mutations or biotechnological synonymous recoding) can have an enormous impact on its expression by diverse cis- acting mechanisms. But expression of genes with extreme CUBias can also lead to strong phenotypic effects by altering the overall intracellular translation homeostasis via competition for ribosomal machinery or tRNA depletion. In this study, we expressed at high levels in human cells six different synonymous versions of a gene and used matched transcriptomic and proteomic data to evaluate the impact of CUBias of the heterologous gene on the translation of cellular transcripts. Our experimental design focused specifically on differences during translation elongation. Response to expression of the different synonymous sequences was assessed by various approaches, ranging from analyses performed on a per-gene basis to more integrated approaches of the cell as a whole. We observe that the transcriptome displayed substantial changes as a result of heterologous gene expression by triggering an intense antiviral and inflammatory response, but that changes in the proteomes were very modest. Most importantly we notice that changes in translation efficiency of cellular transcripts were not associated with the direction of the CUBias of the heterologous sequences, thereby providing only limited support for trans- acting effects of synonymous changes. We interpret that, in human cells in culture, changes in CUBias can lead to important cis- acting effects in gene expression, but that cellular homeostasis can buffer the phenotypic impact of overexpression of heterologous genes with extreme CUBias.
Redundancy in the genetic code allows for differences in transcription and/or translation efficiency between mRNA molecules carrying synonymous polymorphisms, with potential phenotypic impact at the molecular and at the organismal level. A combination of neutral and selective processes determines the global genome codon usage preferences, as well as local differences between genes within a genome and between positions along a single gene. The relative contribution of evolutionary forces at shaping codon usage bias in eukaryotes is a matter of debate, especially in mammals. The main riddle remains understanding the sharp contrast between the strong molecular impact of gene expression differences arising from codon usage preferences and the thin evidence for codon usage selection at the organismal level. Here we report a multiscale analysis of the consequences of alternative codon usage on heterologous gene expression in human cells. We generated synonymous versions of the shble antibiotic resistance gene, fused to a fluorescent reporter, and expressed independently them in human HEK293 cells. We analysed: i) mRNA-to-DNA and protein-to-mRNA ratios for each shble version; ii) cellular fluorescence, using flow cytometry, as a proxy for single cell-level construct expression; and iii) real-time cell proliferation in absence or presence of antibiotic, as a proxy for the cellular fitness. Our results show that differences in codon usage preferences in our focal gene strongly impacted the molecular and the cellular phenotype: i) they elicited large differences in mRNA and in protein levels, as well in mRNA-to-protein ratio; ii) they introduced splicing events not predicted by current algorithms; iii) they lead to reproducible phenotypic heterogeneity as different multimodal distributions of cellular fluorescence EGFP; iv) they resulted in a trade-off between burden of heterologous expression and antibiotic resistance. While certain codon usage-related variables monotonically correlated with protein expression, other variables (e.g. CpG content or mRNA folding energy) displayed a bell-like behaviour. We interpret that codon usage preferences strongly shape the molecular and cellular phenotype in human cells through a direct impact on gene expression.
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