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Genetic and antigenic analysis of human rotavirus prevalent in Al-Taif, Saudi Arabia

S M elAssouli1, Z M Banjar, K A Mohammed

  • 1Department of Medical Biology, School of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

Insights

This study analyzed human rotavirus strains in Saudi Arabia, finding diverse subgroups and serotypes in young children. Rotavirus RNA patterns did not correlate with specific subgroups or serotypes.

Area of Science:

  • Virology
  • Epidemiology
  • Public Health

Background:

  • Rotavirus is a leading cause of severe diarrheal disease in infants and young children globally.
  • Understanding the genetic diversity of rotavirus strains is crucial for vaccine development and public health strategies.

Purpose of the Study:

  • To investigate the subgroup, serotype, and electropherotype diversity of human rotavirus (HRV) strains in diarrheic children in Al-Taif, Saudi Arabia.
  • To determine the prevalence of different rotavirus strains and their association with age groups.

Main Methods:

  • A group-A specific enzyme-linked immunosorbent assay (ELISA) was used to detect rotavirus in 349 fecal samples.
  • Monoclonal antibodies were employed for rotavirus subgrouping and serotyping.
  • Electrophoretic analysis of viral RNA was performed to determine electropherotypes.

Main Results:

  • Rotavirus was detected in 150 (43%) of the samples, primarily from children under 2 years old (87%).
  • Commonly identified strains included subgroup II (59%) and serotype 1 (43%).
  • Eleven distinct RNA patterns were observed, with a majority exhibiting long patterns (78%), but no correlation was found between RNA patterns, subgroups, or serotypes.

Conclusions:

  • The study highlights significant genetic diversity among human rotavirus strains circulating in Saudi Arabia.
  • The findings underscore the need for continuous surveillance of rotavirus strains to inform effective control and prevention measures.
  • The lack of association between RNA patterns and specific subgroups/serotypes suggests complex viral evolution or limitations in current typing methods.

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