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      Clustering of classical swine fever virus isolates by codon pair bias

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          Abstract

          Background

          The genetic code consists of non-random usage of synonymous codons for the same amino acids, termed codon bias or codon usage. Codon juxtaposition is also non-random, referred to as codon context bias or codon pair bias. The codon and codon pair bias vary among different organisms, as well as with viruses. Reasons for these differences are not completely understood. For classical swine fever virus (CSFV), it was suggested that the synonymous codon usage does not significantly influence virulence, but the relationship between variations in codon pair usage and CSFV virulence is unknown. Virulence can be related to the fitness of a virus: Differences in codon pair usage influence genome translation efficiency, which may in turn relate to the fitness of a virus. Accordingly, the potential of the codon pair bias for clustering CSFV isolates into classes of different virulence was investigated.

          Results

          The complete genomic sequences encoding the viral polyprotein of 52 different CSFV isolates were analyzed. This included 49 sequences from the GenBank database (NCBI) and three newly sequenced genomes. The codon usage did not differ among isolates of different virulence or genotype. In contrast, a clustering of isolates based on their codon pair bias was observed, clearly discriminating highly virulent isolates and vaccine strains on one side from moderately virulent strains on the other side. However, phylogenetic trees based on the codon pair bias and on the primary nucleotide sequence resulted in a very similar genotype distribution.

          Conclusion

          Clustering of CSFV genomes based on their codon pair bias correlate with the genotype rather than with the virulence of the isolates.

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          Most cited references60

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          Codon usage in bacteria: correlation with gene expressivity.

          The nucleic acid sequence bank now contains over 600 protein coding genes of which 107 are from prokaryotic organisms. Codon frequencies in each new prokaryotic gene are given. Analysis of genetic code usage in the 83 sequenced genes of the Escherichia coli genome (chromosome, transposons and plasmids) is presented, taking into account new data on gene expressivity and regulation as well as iso-tRNA specificity and cellular concentration. The codon composition of each gene is summarized using two indexes: one is based on the differential usage of iso-tRNA species during gene translation, the other on choice between Cytosine and Uracil for third base. A strong relationship between codon composition and mRNA expressivity is confirmed, even for genes transcribed in the same operon. The influence of codon use of peptide elongation rate and protein yield is discussed. Finally, the evolutionary aspect of codon selection in mRNA sequences is studied.
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            Live Attenuated Influenza Vaccines by Computer-Aided Rational Design

            Influenza claims 250,000 - 500,000 lives annually worldwide. Despite existing vaccines and enormous efforts in biomedical research, these staggering numbers have not changed significantly over the last two decades1, motivating the search for new, more effective, vaccines that can be rapidly designed and easily produced. Using influenza virus strain A/PR/8/34, we describe a systematic, rational approach, termed Synthetic Attenuated Virus Engineering (SAVE), to develop new, efficacious live attenuated influenza virus vaccine candidates through genome-scale changes in codon pair bias. Attenuation is based on many hundreds of nucleotide changes across the viral genome, offering high genetic stability and a wide margin of safety. The method can be applied rapidly to any emerging influenza virus in its entirety, an advantage that is significant for dealing with seasonal epidemics and pandemic threats, such as H5N1- or 2009-H1N1 influenza.
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              Why is CpG suppressed in the genomes of virtually all small eukaryotic viruses but not in those of large eukaryotic viruses?

              Dinucleotide over- and underrepresentation is evaluated in all available completely sequenced DNA or RNA viral genomes, ranging in size from 3 to 250 kb (available RNA viruses fall into the small-virus category). The dinucleotide CpG is statistically underrepresented (suppressed) in all but four of the small viruses (more than 75 with lengths of or = 30 kb). Most retrotransposons in eukaryotic species also show low CpG relative abundances. Interpretations, especially in some cases of DNA viruses or viruses with a DNA intermediate, might relate to methylation effects and modes of viral integration and excision. Other possible contributing factors relate to dinucleotide stacking energies, special mutation mechanisms, and evolutionary events.
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                Author and article information

                Journal
                BMC Res Notes
                BMC Res Notes
                BMC Research Notes
                BioMed Central
                1756-0500
                2011
                29 November 2011
                : 4
                : 521
                Affiliations
                [1 ]Institute of Virology and Immunoprophylaxis (IVI), Sensemattstrasse 293, CH-3147 Mittelhäusern, Switzerland
                [2 ]Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, 17493 Greifswald-Insel Riems, Germany
                Article
                1756-0500-4-521
                10.1186/1756-0500-4-521
                3341591
                22126254
                de50ee81-cd6b-4f92-993d-ba9d7aa2b58e
                Copyright ©2011 Leifer et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 October 2011
                : 29 November 2011
                Categories
                Research Article

                Medicine
                Medicine

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