loading page

Novel and extendable genotyping system for Human Respiratory Syncytial Virus based on whole-genome sequence analysis
  • +5
  • Jiani Chen,
  • Xueting Qiu,
  • Samuel Shepard,
  • Do-Kyun Kim,
  • James Hixson,
  • Pedro Piedra,
  • Vasanthi Avadhanula,
  • Justin Bahl
Jiani Chen
University of Georgia

Corresponding Author:jiani.chen@uga.edu

Author Profile
Xueting Qiu
University of Georgia College of Veterinary Medicine
Author Profile
Samuel Shepard
Centers for Disease Control and Prevention
Author Profile
Do-Kyun Kim
The University of Texas Health Science Center at Houston
Author Profile
James Hixson
The University of Texas Health Science Center at Houston
Author Profile
Pedro Piedra
Baylor College of Medicine
Author Profile
Vasanthi Avadhanula
Baylor College of Medicine
Author Profile
Justin Bahl
University of Georgia College of Veterinary Medicine
Author Profile

Abstract

Background: Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200-300 nucleotides) for genotype characterization or diagnostics. However, the genotype assignment with G gene has not recapitulated the phylogenetic signal of other genes and there is no consensus on RSV genotype definition. Methods: We conducted Maximum Likelihood phylogenetic analysis with 10 RSV individual genes and whole-genome sequence (WGS) that are published in GenBank. RSV genotypes were assigned by the statistical support monophyletic clusters with at least 10-year detection time from the WGS phylogeny. Results: In this study, we first statistically examined the phylogenetic incongruence, rate variation for each RSV gene sequence and WGS. We then proposed a new RSV genotyping system based on a comparative analysis of WGS and the spatial and temporal distribution of each lineage. We also provided an RSV classification tool to perform RSV genotype assignment. Conclusions: This revised RSV genotyping system will provide important information for disease surveillance, epidemiology, and vaccine development.
05 May 2021Submitted to Influenza and other respiratory viruses
06 May 2021Submission Checks Completed
06 May 2021Assigned to Editor
01 Jun 2021Reviewer(s) Assigned
22 Jun 2021Review(s) Completed, Editorial Evaluation Pending
11 Jul 2021Editorial Decision: Revise Major
12 Sep 20211st Revision Received
13 Sep 2021Submission Checks Completed
13 Sep 2021Assigned to Editor
14 Sep 2021Reviewer(s) Assigned
14 Oct 2021Review(s) Completed, Editorial Evaluation Pending
17 Oct 2021Editorial Decision: Accept
May 2022Published in Influenza and Other Respiratory Viruses volume 16 issue 3 on pages 492-500. 10.1111/irv.12936