Whole genome analysis of rotavirus strains circulating in Benin before vaccine introduction, 2016-2018

Jijoho Michel Agbla1, Mathew D Esona2, Jose Jaimes2

  • 1National Health Laboratory, Ministry of Public Health, 01 P.O. Box 418, Cotonou, Benin; Research Unit in Applied Microbiology and Pharmacology of Natural Substances, Research Laboratory in Applied Biology, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, 01 P.O. Box 2009, Cotonou, Benin.

Virus Research
|March 5, 2022
PubMed

Insights

This study characterized 72 rotavirus A strains in Benin, revealing genetic diversity and identifying novel alleles for VP7 and VP4 genes. These findings provide a baseline for post-vaccination rotavirus surveillance.

Area of Science:

  • Virology
  • Genetics
  • Public Health

Background:

  • Species A rotaviruses (RVA) are a leading cause of severe diarrhea in young children globally.
  • An 11-gene system classifies RVA strains, crucial for understanding viral evolution and vaccine impact.
  • Benin introduced the ROTAVAC® vaccine in December 2019, necessitating pre-vaccination RVA strain characterization.

Purpose of the Study:

  • To perform whole-genome characterization of RVA strains circulating in Benin before vaccine introduction.
  • To identify genetic diversity, including common and unusual genotypes, and novel alleles.
  • To establish a baseline for future RVA surveillance in the post-vaccination era.

Main Methods:

  • Whole-genome sequencing of 72 randomly selected RVA strains collected in Benin between 2016-2018.
  • Genotyping based on the 11-gene classification system (Gx-P[x]-Ix-Rx-Cx-Mx-Ax-Nx-Tx-Ex-Hx).
  • Comparative analysis of identified alleles against reference and vaccine strains.

Main Results:

  • Characterization of diverse RVA strains, including G1P[8], G2P[4], G9P[8], G12P[8], G3P[6], and others.
  • Identification of two main genetic constellations: Wa-like and DS-1-like.
  • Discovery of 3 new alleles for VP7 (G3, G12) and VP4 (P[4], P[6]) genes, along with novel alleles in other genes.

Conclusions:

  • The study provides comprehensive whole-genome data for RVA strains circulating in Benin prior to vaccination.
  • Genetic diversity, including novel alleles and evidence of reassortment, was observed.
  • The findings establish a crucial baseline for monitoring RVA evolution and vaccine effectiveness in Benin.