作者: Stephanie Goya , Mónica Galiano , Inne Nauwelaers , Alfonsina Trento , Peter J. Openshaw
DOI: 10.1111/IRV.12715
关键词: Genome 、 GenBank 、 Genotype 、 Genotyping 、 Computational biology 、 Hypervariable region 、 Sequence clustering 、 Biology 、 Phylogenetic tree 、 Gene
摘要: Background Human respiratory syncytial virus (RSV) is classified into antigenic subgroups A and B. Thirteen genotypes have been defined for RSV-A 20 RSV-B, without any consensus on genotype definition. Methods We evaluated clustering of RSV sequences published in GenBank until February 2018 to define by using maximum likelihood Bayesian phylogenetic analyses average p-distances. Results compared the patterns sequence complete genomes; three surface glycoproteins genes (SH, G, F, single concatenated); ectodomain 2nd hypervariable region G gene. Although genome analysis achieved best resolution, G-ectodomain phylogenies showed similar topologies with statistical support comparable genome. Based widespread geographic representation large number available sequences, this was chosen as minimum suitable genotyping. a monophyletic cluster high (≥80% bootstrap ≥0.8 posterior probability), an intragenotype p-distance ≤0.03 both intergenotype ≥0.09 ≥0.05 RSV-B. In work, reduced from 13 (GA1-GA3) seven RSV-B (GB1-GB7). Within these, two additional levels classification were defined: subgenotypes lineages. Signature amino acid substitutions complement also identified. Conclusions propose objective protocol genotyping adoption international standard global expansion molecular surveillance.