4.7 Article

Genetic diversity and molecular evolution of human respiratory syncytial virus A and B

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-92435-1

Keywords

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Funding

  1. National Natural Science Foundation of China [32070922]
  2. Fundamental Research Funds for the Central Universities [2020RC016]

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This study analyzed the genetic variability and evolutionary pattern of human respiratory syncytial viruses (RSVs) from 1977 to 2019, revealing different evolutionary rates and population size dynamics between RSV-A and RSV-B. The high occurrence rate of single nucleotide polymorphisms (SNPs) in the G gene and the sharp population expansion of RSV-B since 2005 were notable findings. Such insights could be valuable for informing vaccine and therapy strategies against RSV infection.
Human respiratory syncytial viruses (RSVs) are classified into two major groups (A and B) based on antigenic differences in the G glycoprotein. To investigate circulating characteristics and phylodynamic history of RSV, we analyzed the genetic variability and evolutionary pattern of RSVs from 1977 to 2019 in this study. The results revealed that there was no recombination event of intergroup. Single nucleotide polymorphisms (SNPs) were observed through the genome with the highest occurrence rate in the G gene. Five and six sites in G protein of RSV-A and RSV-B, respectively, were further identified with a strong positive selection. The mean evolutionary rates for RSV-A and -B were estimated to be 1.48x10(-3) and 1.92x10(-3) nucleotide substitutions/site/year, respectively. The Bayesian skyline plot showed a constant population size of RSV-A and a sharp expansion of population size of RSV-B since 2005, and an obvious decrease 5 years later, then became stable again. The total population size of RSVs showed a similar tendency to that of RSV-B. Time-scaled phylogeny suggested a temporal specificity of the RSV-genotypes. Monitoring nucleotide changes and analyzing evolution pattern for RSVs could give valuable insights for vaccine and therapy strategies against RSV infection.

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