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      Proposals for the classification of human rhinovirus species A, B and C into genotypically assigned types

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          Abstract

          Human rhinoviruses (HRVs) frequently cause mild upper respiratory tract infections and more severe disease manifestations such as bronchiolitis and asthma exacerbations. HRV is classified into three species within the genus Enterovirus of the family Picornaviridae. HRV species A and B contain 75 and 25 serotypes identified by cross-neutralization assays, although the use of such assays for routine HRV typing is hampered by the large number of serotypes, replacement of virus isolation by molecular methods in HRV diagnosis and the poor or absent replication of HRV species C in cell culture. To address these problems, we propose an alternative, genotypic classification of HRV-based genetic relatedness analogous to that used for enteroviruses. Nucleotide distances between 384 complete VP1 sequences of currently assigned HRV (sero)types identified divergence thresholds of 13, 12 and 13 % for species A, B and C, respectively, that divided inter- and intra-type comparisons. These were paralleled by 10, 9.5 and 10 % thresholds in the larger dataset of >3800 VP4 region sequences. Assignments based on VP1 sequences led to minor revisions of existing type designations (such as the reclassification of serotype pairs, e.g. A8/A95 and A29/A44, as single serotypes) and the designation of new HRV types A101–106, B101–103 and C34–C51. A protocol for assignment and numbering of new HRV types using VP1 sequences and the restriction of VP4 sequence comparisons to type identification and provisional type assignments is proposed. Genotypic assignment and identification of HRV types will be of considerable value in the future investigation of type-associated differences in disease outcomes, transmission and epidemiology.

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          Analyzing the mosaic structure of genes.

          Some genes in prokaryotes consist of a mosaic of regions derived from different ancestors by horizontal gene transfer. A method is described for demonstrating the statistical significance of such mosaic structure and for locating the crossover points separating different regions.
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            A modified bootscan algorithm for automated identification of recombinant sequences and recombination breakpoints.

            We have developed a modified BOOTSCAN algorithm that may be used to screen nucleotide sequence alignments for evidence of recombination without prior identification of nonrecombinant reference sequences. The algorithm is fast and includes a Bonferroni corrected statistical test of recombination to circumvent the multiple testing problems encountered when using the BOOTSCAN method to explore alignments for evidence of recombination. Using both simulated and real datasets we demonstrate that the modified algorithm is more powerful than other phylogenetic recombination detection methods and performs almost as well as one of the best substitution distribution recombination detection methods.
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              Molecular evolution of the human enteroviruses: correlation of serotype with VP1 sequence and application to picornavirus classification.

              Sixty-six human enterovirus serotypes have been identified by serum neutralization, but the molecular determinants of the serotypes are unknown. Since the picornavirus VP1 protein contains a number of neutralization domains, we hypothesized that the VP1 sequence should correspond with neutralization (serotype) and, hence, with phylogenetic lineage. To test this hypothesis and to analyze the phylogenetic relationships among the human enteroviruses, we determined the complete VP1 sequences of the prototype strains of 47 human enterovirus serotypes and 10 antigenic variants. Our sequences, together with those available from GenBank, comprise a database of complete VP1 sequences for all 66 human enterovirus serotypes plus additional strains of seven serotypes. Phylogenetic trees constructed from complete VP1 sequences produced the same four major clusters as published trees based on partial VP2 sequences; in contrast to the VP2 trees, however, in the VP1 trees strains of the same serotype were always monophyletic. In pairwise comparisons of complete VP1 sequences, enteroviruses of the same serotype were clearly distinguished from those of heterologous serotypes, and the limits of intraserotypic divergence appeared to be about 25% nucleotide sequence difference or 12% amino acid sequence difference. Pairwise comparisons suggested that coxsackie A11 and A15 viruses should be classified as strains of the same serotype, as should coxsackie A13 and A18 viruses. Pairwise identity scores also distinguished between enteroviruses of different clusters and enteroviruses from picornaviruses of different genera. The data suggest that VP1 sequence comparisons may be valuable in enterovirus typing and in picornavirus taxonomy by assisting in the genus assignment of unclassified picornaviruses.
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                Author and article information

                Journal
                J Gen Virol
                J. Gen. Virol
                JGV
                vir
                The Journal of General Virology
                Society for General Microbiology
                0022-1317
                1465-2099
                August 2013
                August 2013
                : 94
                : Pt 8
                : 1791-1806
                Affiliations
                [1 ]Roslin Institute, University of Edinburgh, Easter Bush, Edinburgh EH15 9RG, UK
                [2 ]Pirbright Institute, Ash Road, Pirbright, Woking, Surrey GU24 0NF, UK
                Author notes
                Correspondence Peter Simmonds Peter.Simmonds@ 123456ed.ac.uk

                The GenBank/EMBL/DDBJ accession numbers for the sequences determined in this study are KC342054–KC342104.

                Article
                053686
                10.1099/vir.0.053686-0
                3749525
                23677786
                f25f7095-b942-44b7-b98b-3c55bcab108a
                © 2013 SGM

                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 work is properly cited.

                History
                : 22 March 2013
                : 13 May 2013
                Categories
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                Animal
                RNA viruses
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                Microbiology & Virology
                Microbiology & Virology

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