Molecular characterization of human respiratory syncytial virus in Seoul, South Korea, during 10 consecutive years, 2010-2019open access
- Authors
- Kim, Ha Nui; Hwang, Jinha; Yoon, Soo-Young; Lim, Chae Seung; Cho, Yunjung; Lee, Chang-Kyu; Nam, 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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Collections - 2. Clinical Science > Department of Laboratory Medicine > 1. Journal Articles
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