Effects of synonymous codon usage bias on mRNA half-life and translational regulation / 生物工程学报

With the widespread application of genomics and transcriptomics in the genetics and cell biology of different species, synonymous codon usage bias has been gradually accepted and used to study the deep connection between biological evolution and biological phenotypes. It is an important part of the life activities that mRNA is expressed into proteins with normal biological activities. The synonymous codon usage patterns, which were named as 'the second genetic codon', can express genetic information carried by themselves at the levels of transcriptional regulations, translational regulations and metabolic activities through molecular mechanisms such as fine-tune translation selection. Some studies have shown that the length of mRNA half-life has significant impacts on mRNA activity and the process of transcription and translation. This review summarized the roles of synonymous codon usage patterns in transcription, translational regulation and post-translational modification, with the aim to better understand how organisms skillfully utilize the genetic effects caused by codon usage patterns to accurately synthesize different types of proteins, so as to ensure the growth or differentiation of the specific gene expression procedures to carry out smoothly and maintain the normal life cycle.

Synonymous Codon Usage Controls Various Molecular Aspects

Synonymous sites are generally considered to be functionally neutral. However, there are recent contradictory findings suggesting that synonymous alleles might have functional roles in various molecular aspects. For instance, a recent study demonstrated that synonymous single nucleotide polymorphisms have a similar effect size as nonsynonymous single nucleotide polymorphisms in human disease association studies. Researchers have recognized synonymous codon usage bias (SCUB) in the genomes of almost all species and have investigated whether SCUB is due to random nucleotide compositional bias or to natural selection of any functional exposure generated by synonymous mutations. One of the most prominent observations on the non-neutrality of synonymous codons is the correlation between SCUB and levels of gene expression, such that highly expressed genes tend to have a higher preference toward so-called optimal codons than lowly expressed genes. In relation, it is known that amounts of cognate tRNAs that bind to optimal codons are significantly higher than the amounts of cognate tRNAs that bind to non-optimal codons in genomes. In the present paper, we review various functions that synonymous codons might have other than regulating expression levels.

Expression analysis of genes responsible for amino acid biosynthesis in halophilic bacterium Salinibacter ruber.

The degeneracy of the genetic code allows for multiple codons to encode the same amino acid. However, alternative codons and amino acids are used unevenly among genes, a phenomenon termed codon-usage bias. Genes regulating amino acid biosynthesis of Salinibacter ruber, an extremely halophilic bacterium were studied in order to determine the synonymous codon usage patterns. Factors responsible for codon usage variation among the genes were investigated using codon usage indices and multi-variate statistical approach. Overall codon usage data analysis indicated that codons ending in G and/or C were predominant among the genes. Multi-variate statistical analysis showed that there was a single major trend in the codon usage variation among the genes, which had a strong positive correlation (r = 0.93, P<0.01) with (G + C) content of the genes. Further, correlation analysis indicated that genes with higher expression level and showing a greater degree of codon usage bias were GC-rich and preferred codons with C or G nucleotides at the third position. A set of thirteen codons were identified through Chi-square test as optimal codons, which were preferred in highly expressed genes. It could be concluded that mutational bias had a profound effect on codon usage pattern. In addition, translational selections also operated with a proper balance, making the genes translationally more efficient. The frequency of these codons appeared to be correlated with the level of gene expression and might be a useful indicator in the case of genes (or open-reading-frames) whose expression levels are unknown.