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      Causes and Implications of Codon Usage Bias in RNA Viruses

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      PLoS ONE
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          Abstract

          Choice of synonymous codons depends on nucleotide/dinucleotide composition of the genome (termed mutational pressure) and relative abundance of tRNAs in a cell (translational pressure). Mutational pressure is commonly simplified to genomic GC content; however mononucleotide and dinucleotide frequencies in different genomes or mRNAs may vary significantly, especially in RNA viruses. A series of in silico shuffling algorithms were developed to account for these features and analyze the relative impact of mutational pressure components on codon usage bias in RNA viruses. Total GC content was a poor descriptor of viral genome composition and causes of codon usage bias. Genomic nucleotide content was the single most important factor of synonymous codon usage. Moreover, the choice between compatible amino acids (e.g., leucine and isoleucine) was strongly affected by genomic nucleotide composition. Dinucleotide composition at codon positions 2-3 had additional effect on codon usage. Together with mononucleotide composition bias, it could explain almost the entire codon usage bias in RNA viruses. On the other hand, strong dinucleotide content bias at codon position 3-1 found in some viruses had very little effect on codon usage. A hypothetical innate immunity sensor for CpG in RNA could partially explain the codon usage bias, but due to dependence of virus translation upon biased host translation machinery, experimental studies are required to further explore the source of dinucleotide bias in RNA viruses.

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          Most cited references41

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          The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

          P. Sharp, W Li (1987)
          A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.
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            The 'effective number of codons' used in a gene.

            F. Wright (1990)
            A simple measure is presented that quantifies how far the codon usage of a gene departs from equal usage of synonymous codons. This measure of synonymous codon usage bias, the 'effective number of codons used in a gene', Nc, can be easily calculated from codon usage data alone, and is independent of gene length and amino acid (aa) composition. Nc can take values from 20, in the case of extreme bias where one codon is exclusively used for each aa, to 61 when the use of alternative synonymous codons is equally likely. Nc thus provides an intuitively meaningful measure of the extent of codon preference in a gene. Codon usage patterns across genes can be investigated by the Nc-plot: a plot of Nc vs. G + C content at synonymous sites. Nc-plots are produced for Homo sapiens, Saccharomyces cerevisiae, Escherichia coli, Bacillus subtilis, Dictyostelium discoideum, and Drosophila melanogaster. A FORTRAN77 program written to calculate Nc is available on request.
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              Selection on codon bias.

              In a wide variety of organisms, synonymous codons are used with different frequencies, a phenomenon known as codon bias. Population genetic studies have shown that synonymous sites are under weak selection and that codon bias is maintained by a balance between selection, mutation, and genetic drift. It appears that the major cause for selection on codon bias is that certain preferred codons are translated more accurately and/or efficiently. However, additional and sometimes maybe even contradictory selective forces appear to affect codon usage as well. In this review, we discuss the current understanding of the ways in which natural selection participates in the creation and maintenance of codon bias. We also raise several open questions: (i) Is natural selection weak independently of the level of codon bias? It is possible that selection for preferred codons is weak only when codon bias approaches equilibrium and may be quite strong on genes with codon bias levels that are much lower and/or above equilibrium. (ii) What determines the identity of the major codons? (iii) How do shifts in codon bias occur? (iv) What is the exact nature of selection on codon bias? We discuss these questions in depth and offer some ideas on how they can be addressed using a combination of computational and experimental analyses.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                25 February 2013
                : 8
                : 2
                : e56642
                Affiliations
                [1 ]Chumakov Institute of Poliomyelitis and Viral Encephalitides, Russian Academy of Medical Sciences, Moscow, Russia
                [2 ]Institute for Virology, University of Bonn Medical Center, Bonn, Germany
                University of Edinburgh, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ANL. Performed the experiments: ISB. Analyzed the data: ANL ISB. Wrote the paper: ANL.

                Article
                PONE-D-12-20636
                10.1371/journal.pone.0056642
                3581513
                23451064
                fcfcb379-8fab-4750-b71a-69e59e092388
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 July 2012
                : 15 January 2013
                Page count
                Pages: 9
                Funding
                This work was supported by Deutsche Forschungsgemeinschaft [grant DR772/2-1]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Computational Biology
                Genomics
                Genome Evolution
                Evolutionary Biology
                Organismal Evolution
                Microbial Evolution
                Genomic Evolution
                Microbiology
                Virology
                Viral Classification
                RNA viruses
                Viral Evolution
                Viral Immune Evasion
                Medicine
                Infectious Diseases
                Viral Diseases

                Uncategorized
                Uncategorized

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