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Spatial-temporal distribution and sequence diversity of group a human respiratory syncytial viruses in Kenya preceding the emergence of ON1 genotype.
Wangui, Julia; Nokes, D James; Mobegi, Victor A; Otieno, James R; Agoti, Charles N; Ngeranwa, Joseph J N; Bulimo, Wallace D.
Afiliación
  • Wangui J; Department of Biochemistry, Kenyatta University, Nairobi, Kenya.
  • Nokes DJ; Center for Virus Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
  • Mobegi VA; Department of Epidemiology and Demography, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
  • Otieno JR; School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK.
  • Agoti CN; Department of Biochemistry, University of Nairobi, Nairobi, Kenya.
  • Ngeranwa JJN; Department of Epidemiology and Demography, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.
  • Bulimo WD; Center for Virus Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Influenza Other Respir Viruses ; 16(3): 501-510, 2022 05.
Article en En | MEDLINE | ID: mdl-34962085
ABSTRACT

BACKGROUND:

Human respiratory syncytial virus (HRSV) is a major cause of severe viral acute respiratory illness and contributes significantly to severe pneumonia cases in Africa. Little is known about its spatial-temporal distribution as defined by its genetic diversity.

METHODS:

A retrospective study conducted utilizing archived nasopharyngeal specimens from patients attending outpatient clinics in hospitals located in five demographically and climatically distinct regions of Kenya; Coast, Western, Highlands, Eastern and Nairobi. The viral total RNA was extracted and tested using multiplex real time RT-PCR (reverse transcriptase polymerase chain reaction). A segment of the G-gene was amplified using one-step RT-PCR and sequenced by Sanger di-deoxy method. Bayesian analysis of phylogeny was utilized and subsequently median joining methods for haplotype network reconstruction.

RESULTS:

Three genotypes of HRSVA were detected; GA5 (14.0%), GA2 (33.1%), and NA1 (52.9%). HRSVA prevalence varied by location from 33% to 13.2% in the Highlands and the Eastern regions respectively. The mean nucleotide diversity (Pi[π]) varied by genotype highest of 0.018 for GA5 and lowest of 0.005 for NA1. A total of 58 haplotypes were identified (GA5 10; GA2 20; NA1 28). These haplotypes were introduced into the population locally by single haplotypes and additional subsidiary seeds amongst the GA2 and the NA1 haplotypes.

CONCLUSIONS:

HRSVA was found across all the regions throughout the study period and comprised three genotypes; GA5, GA2, and NA1 genotypes. The genotypes were disproportionately distributed across the regions with GA5 gradually increasing toward the Western zones and decreasing toward the Eastern zones of the country.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Virus Sincitial Respiratorio Humano / Infecciones por Virus Sincitial Respiratorio Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans / Infant País/Región como asunto: Africa Idioma: En Revista: Influenza Other Respir Viruses Asunto de la revista: VIROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Kenia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Virus Sincitial Respiratorio Humano / Infecciones por Virus Sincitial Respiratorio Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans / Infant País/Región como asunto: Africa Idioma: En Revista: Influenza Other Respir Viruses Asunto de la revista: VIROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Kenia