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Molecular characterization of human respiratory syncytial virus in Seoul, South Korea, during 10 consecutive years, 2010-2019open access

Authors
Kim, Ha NuiHwang, JinhaYoon, Soo-YoungLim, Chae SeungCho, YunjungLee, Chang-KyuNam, Myung-Hyun
Issue Date
Apr-2023
Publisher
Public Library of Science
Citation
PLoS ONE, v.18, no.4
Indexed
SCIE
SCOPUS
Journal Title
PLoS ONE
Volume
18
Number
4
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63170
DOI
10.1371/journal.pone.0283873
ISSN
1932-6203
Abstract
Respiratory syncytial virus (RSV) is the leading cause of lower respiratory tract infections and hospitalization in infants and young children. Here, we analyzed the genetic diversity of RSV using partial G gene sequences in 84 RSV-A and 78 RSV- B positive samples collected in Seoul, South Korea, for 10 consecutive years, from 2010 to 2019. Our phylogenetic analysis revealed that RSV-A strains were classified into either the ON1 (80.9%) or NA1 (19.0%) genotypes. On the other hand, RSV-B strains demonstrated diversified clusters within the BA genotype. Notably, some sequences designated as BA-SE, BA-SE1, and BA-DIS did not cluster with previously identified BA genotypes in the phylogenetic trees. Despite this, they did not meet the criteria for the assignment of a new genotype based on recent classification methods. Selection pressure analysis identified three positive selection sites (amino acid positions 273, 274, and 298) in RSV-A, and one possible positive selection site (amino acid position 296) in RSV-B, respectively. The mean evolutionary rates of Korean RSV-A from 1999 to 2019 and RSV-B strains from 1991 and 2019 were estimated at 3.51 x 10(-3) nucleotides (nt) substitutions/site/year and 3.32 x 10(-3) nt substitutions/site/year, respectively. The population dynamics in the Bayesian skyline plot revealed fluctuations corresponding to the emergence of dominant strains, including a switch of the dominant genotype from NA1 to ON1. Our study on time-scaled cumulative evolutionary analysis contributes to a better understanding of RSV epidemiology at the local level in South Korea.
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Hwang, Jin Ha
Anam Hospital (Department of Laboratory Medicine, Anam Hospital)
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