Spread and evolution of respiratory syncytial virus a genotype ON1, coastal Kenya, 2010-2015

James R. Otieno*, Everlyn M. Kamau, Charles N. Agoti, Clement Lewa, Grieven Otieno, Ann Bett, Mwanajuma Ngama, Patricia A. Cane, D. James Nokes

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    38 Citations (Scopus)


    In February 2012, the novel respiratory syncytial virus (RSV) group A, genotype ON1, was detected in Kilifi County, coastal Kenya. ON1 is characterized by a 72-nt duplication within the highly variable G gene (encoding the immunogenic attachment surface protein). Cases were diagnosed through surveillance of pneumonia in children at the county hospital. Analysis of epidemiologic, clinical, and sequence data of RSV-A viruses detected over 5 RSV seasons (2010/2011 to 2014/2015) indicated the following: 1) replacement of previously circulating genotype GA2 ON1, 2) an abrupt expansion in the number of ON1 variants detected in the 2014/2015 epidemic, 3) recently accumulation of amino acid substitutions within the ON1 duplicated sequence, and 4) no clear evidence of altered pathogenicity relative to GA2. The study demonstrates the public health importance of molecular surveillance in defining the spread, clinical effects, and evolution of novel respiratory virus variants.

    Original languageEnglish
    Pages (from-to)264-271
    Number of pages8
    JournalEmerging Infectious Diseases
    Issue number2
    Publication statusPublished - Feb 2017

    Bibliographical note

    Funding Information:
    This work was supported by the Wellcome Trust, UK (grant nos. 102975, 100542, 084633, 077092). This article is published with permission from the director of the Kenya Medical Research Institute.

    Publisher Copyright:
    © 2017, Centers for Disease Control and Prevention (CDC). All rights reserved.


    Dive into the research topics of 'Spread and evolution of respiratory syncytial virus a genotype ON1, coastal Kenya, 2010-2015'. Together they form a unique fingerprint.

    Cite this