Abstract

Respiratory syncytial virus (RSV) is a common respiratory pathogen that causes mild cold-like symptoms and severe lower respiratory tract infections, causing hospitalizations in children, the elderly and immunocompromised individuals. Due to genetic variability, this virus causes life-threatening pneumonia and bronchiolitis in young infants. Thus, we examined 3600 whole genome sequences submitted to GISAID by 31 December 2022 to examine the genetic variability of RSV. While RSVA and RSVB coexist throughout RSV seasons, RSVA is more prevalent, fatal, and epidemic-prone in several countries, including the United States, the United Kingdom, Australia, and China. Additionally, the virus's attachment glycoprotein and fusion protein were highly mutated, with RSVA having higher Shannon entropy than RSVB. The genetic makeup of these viruses contributes significantly to their prevalence and epidemic potential. Several strain-specific SNPs co-occurred with specific haplotypes of RSVA and RSVB, followed by different haplotypes of the viruses. RSVA and RSVB have the highest linkage probability at loci T12844A/T3483C and G13959T/C2198T, respectively. The results indicate that specific haplotypes and SNPs may significantly affect their spread. Overall, this analysis presents a promising strategy for tracking the evolving epidemic situation and genetic variants of RSV, which could aid in developing effective control, prophylactic, and treatment strategies.

Details

Title
Genome-wide study of globally distributed respiratory syncytial virus (RSV) strains implicates diversification utilizing phylodynamics and mutational analysis
Author
Shishir, Tushar Ahmed 1 ; Saha, Otun 2 ; Rajia, Sultana 2 ; Mondol, Spencer Mark 3 ; Masum, Md. Habib Ullah 2 ; Rahaman, Md. Mizanur 3 ; Hossen, Foysal 2 ; Bahadur, Newaz Mohammed 4 ; Ahmed, Firoz 2 ; Naser, Iftekhar Bin 1 ; Amin, Mohammad Ruhul 2 

 BRAC University, Department of Mathematics and Natural Sciences, Dhaka, Bangladesh (GRID:grid.52681.38) (ISNI:0000 0001 0746 8691) 
 Noakhali Science and Technology University, Department of Microbiology, Noakhali, Bangladesh (GRID:grid.449503.f) (ISNI:0000 0004 1798 7083) 
 University of Dhaka, Department of Microbiology, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059) 
 Noakhali Science and Technology University, Department of Chemistry, Dhaka, Bangladesh (GRID:grid.449503.f) (ISNI:0000 0004 1798 7083) 
Pages
13531
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2853137978
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.