Genetic variability human respiratory syncytial virus subgroups A and B in Turkey during six successive epidemic seasons, 2009-2015.
Fatma BayrakdarCan Naci KocabasAyse Basak AltasH Gokhan KavuncuogluYasemin CosgunEmine Dibek MısırlıogluIhsan DurmazGulay KorukluogluAykut OzkulPublished in: Journal of medical virology (2017)
Human respiratory syncytial virus (HRSV) is most important viral respiratory pathogen of acute lower respiratory tract infections in infants and young children worldwide. The circulating pattern and genetic characteristics in the HRSV attachment glycoprotein gene were investigated in Turkey during six consecutive seasons from 2009 to 2015. HRSVA was dominant in the all epidemic seasons except 2011-2012 season. Partial sequences of the HVR2 region of the G gene of 479 HRSVA and 135 HRSVB were obtained. Most Turkish strains belonged to NA1, ON1, and BA9, which were the predominant genotypes circulating worldwide. Although three novel genotypes, TR-A, TR-BA1, and TR-BA2, were identified, they were not predominant. Clinical data were available for 69 HRSV-positive patients who were monitored due to acute lower respiratory tract illness. There were no significant differences in the clinical diagnosis, hospitalization rates, laboratory findings and treatment observed between the HRSVA and HRSVB groups, and co-infections in this study. The major population afflicted by HRSV infections included infants and children between 13 and 24 months of age. We detected that the CB1, GB5, and THB strains clustered in the same branch with a bootstrap value of 100%. CB-B and BA12 strains clustered in the same branch with a bootstrap value of 65%. The BA11 genotype was clustered in the BA9 genotype in our study. The present study may contribute on the molecular epidemiology of HRSV in Turkey and provide data for HRSV strains circulating in local communities and other regions worldwide.
Keyphrases
- respiratory tract
- respiratory syncytial virus
- escherichia coli
- genome wide
- endothelial cells
- copy number
- liver failure
- machine learning
- electronic health record
- gene expression
- young adults
- high resolution
- data analysis
- smoking cessation
- pluripotent stem cells
- mechanical ventilation
- combination therapy
- extracorporeal membrane oxygenation
- genome wide analysis