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Respiratory Syncytial Virus genotype BA in Kilifi, Kenya : evolutionary dynamics, 15 years on

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Kamau, Everlyn, Otieno, James R., Lewa, Clement S., Mwema, Anthony, Murunga, Nickson, Nokes, D. James and Agoti, Charles N. (2021) Respiratory Syncytial Virus genotype BA in Kilifi, Kenya : evolutionary dynamics, 15 years on. [Dataset]

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Official URL: https://doi.org/10.7910/DVN/XJUA0Z

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Abstract

Respiratory syncytial virus (RSV) is recognised as a leading cause of severe acute respiratory disease and deaths among infants and vulnerable adults. Clinical RSV isolates can be divided into several known genotypes. RSV genotype BA, characterised by a 60-nucleotide duplication in the G glycoprotein gene, emerged in 1999 and quickly disseminated globally replacing other RSV group B genotypes. Continual molecular epidemiology is critical to understand the evolutionary processes maintaining the success of the BA viruses. We analysed 735 G gene sequences from samples collected from paediatric patients in Kilifi, Kenya, between 2003 and 2017. The virus population comprised of several genetically distinct variants (n = 56) co-circulating within and between epidemics. In addition, there was consistent seasonal fluctuations in relative genetic diversity. Amino acid changes increasingly accumulated over the surveillance period including two residues (N178S and Q180R) that mapped to monoclonal antibody 2D10 epitopes, as well as addition of putative N-glycosylation sequons. Further, switching and toggling of amino acids within and between epidemics was observed. On a global phylogeny, the BA viruses from different countries form geographically isolated clusters suggesting substantial localized variants. This study offers insights into longitudinal population dynamics of a globally endemic RSV genotype within a discrete location.

Item Type: Dataset
Alternative Title: Data for Evolution of respiratory syncytial virus genotype BA in Kilifi, Kenya, 15 years on
Subjects: Q Science > QR Microbiology > QR355 Virology
Divisions: Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Type of Data: Observational data
Library of Congress Subject Headings (LCSH): Respiratory syncytial virus -- Kenya, Respiratory organs -- Diseases -- Kenya
Publisher: University of Warwick, School of Life Sciences
Official Date: 10 March 2021
Dates:
DateEvent
10 March 2021Created
Status: Not Peer Reviewed
Publication Status: Published
Media of Output (format): .R .tab
Access rights to Published version: Open Access (Creative Commons)
Copyright Holders: University of Warwick
Description:

Data record consists of raw data in tabular and R format, accompanied by a data dictionary and a README file.
This study is part of a longitudinal surveillance study established to understand the epidemiology and disease burden of RSV associated pneumonia admissions to Kilifi County Hospital (KCH). Fields available in the data include month and year of sample collection, Eligibles (Under fives with severe or very severe pneumonia), RSVA and RSVB positives, proportion tested, and FUBAR all sequences output.
The Kilifi G gene sequences presented in the related publication are available in GenBank (accession numbers KP862065-KP862529, KX775722-KX775849 and MH742792-MH742925).

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
102975Wellcome Trusthttp://dx.doi.org/10.13039/100010269
203077 Wellcome Trusthttp://dx.doi.org/10.13039/100010269
107769/Z/10/ZWellcome Trusthttp://dx.doi.org/10.13039/100010269
UNSPECIFIEDAfrican Academy of Scienceshttp://dx.doi.org/10.13039/501100011858
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Contributors:
ContributionNameContributor ID
DepositorKamau, EverlynUNSPECIFIED

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