Close
Help




JOURNAL

Evolutionary Bioinformatics

Circulation of Human Respiratory Syncytial Virus Strains Among Hospitalized Children with Acute Lower Respiratory Infection in Malaysia

Submit a Paper


Evolutionary Bioinformatics 2013:9 151-161

Original Research

Published on 10 Apr 2013

DOI: 10.4137/EBO.S10999


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Evolutionary Bioinformatics

Abstract

Human respiratory syncytial virus (RSV) is a major viral pathogen associated with acute lower respiratory tract infections (ALRTIs) among hospitalized children. In this study, the genetic diversity of the RSV strains was investigated among nasopharyngeal aspirates (NPA) taken from children less than 5 years of age hospitalized with ALRTIs in Hospital Serdang, Malaysia. A total of 165 NPA samples were tested for the presence of RSV and other respiratory viruses from June until December 2009. RSV was found positive in 83 (50%) of the samples using reverse transcription polymerase chain reaction (RT-PCR). Further classification of 67 RSV strains showed that subgroups A and B comprised 11/67 (16.4%) and 56/67 (83.6%) of the strains, respectively. The second hypervariable region at the carboxyl-terminal of the G gene was amplified and sequenced in order to do phylogenetic study. The phylogenetic relationships of the samples were determined separately for subgroups A and B using neighbor joining (NJ), maximum parsimony (MP), and Bayesian inference (BI). Phylogenetic analysis of the 32 sequenced samples showed that all 9 RSV-A strains were clustered within NA1 genotype while the remaining 23 strains of the RSV-B subgroup could be grouped into a clade consisted of strains with 60-nucleotide duplication region. They were further classified into newly discovered BA10 and BA9 genotypes. The present finding suggests the emergence of RSV genotypes of NA1 and BA. This is the first documentation of the phylogenetic relationship and genetic diversity of RSV strains among hospitalized children diagnosed with ALRTI in Serdang, Malaysia.



Downloads

PDF  (588.89 KB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


What Your Colleagues Say About Evolutionary Bioinformatics
I found the submission management system for Evolutionary Bioinformatics to be one of the most user-friendly around. The peer review was very rigorous and constructive. Support staff were polite and furnished accurate information almost instantly. I strongly recommend other scientists to consider this journal.
Dr Madhav P. Nepal (South Dakota State University, Brookings, SD, USA)
More Testimonials

Quick Links


New article and journal news notification services
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube