Local evolutionary patterns of human respiratory syncytial virus derived from whole-genome sequencing

Charles N. Agoti, James R. Otieno, Patrick K. Munywoki, Alexander G. Mwihuri, Patricia Cane, D. James Nokes, Paul Kellam, Matthew Cotten

    Research output: Contribution to journalArticlepeer-review

    40 Citations (Scopus)

    Abstract

    Human respiratory syncytial virus (RSV) is associated with severe childhood respiratory infections. A clear description of local RSV molecular epidemiology, evolution, and transmission requires detailed sequence data and can inform new strategies for virus control and vaccine development. We have generated 27 complete or nearly complete genomes of RSV from hospitalized children attending a rural coastal district hospital in Kilifi, Kenya, over a 10-year period using a novel full-genome deep-sequencing process. Phylogenetic analysis of the new genomes demonstrated the existence and cocirculation of multiple genotypes in both RSV A and B groups in Kilifi. Comparison of local versus global strains demonstrated that most RSV A variants observed locally in Kilifi were also seen in other parts of the world, while the Kilifi RSV B genomes encoded a high degree of variation that was not observed in other parts of the world. The nucleotide substitution rates for the individual open reading frames (ORFs) were highest in the regions encoding the attachment (G) glycoprotein and the NS2 protein. The analysis of RSV full genomes, compared to subgenomic regions, provided more precise estimates of the RSV sequence changes and revealed important patterns of RSV genomic variation and global movement. The novel sequencing method and the new RSV genomic sequences reported here expand our knowledge base for large-scale RSV epidemiological and transmission studies.

    Original languageEnglish
    Pages (from-to)3444-3454
    Number of pages11
    JournalJournal of Virology
    Volume89
    Issue number7
    DOIs
    Publication statusPublished - 2015

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