USING NEXT-GENERATION SEQUENCING (NGS) TO PREDICT AND MONITOR THE EVOLUTION OF SARS-COV-2 VARIANTS IN BENIN

The purposes of this investigation were identifying, describing and characterizing SARS-CoV-2 variants circulating in Benin (Delta, Omicron, Beta and B.1.640), using next generation sequencing NGS. The phylogenetic tree show evidence of rapid expansion of Delta variant compared and apart from its introductions and prevalence, pointed out comprehensively some specific mutations, such as L452R and T478K that promote infectivity and immune escape. Vaccinated participants showed significantly higher levels of neutralizing antibodies compared to those who were unvaccinated, regardless of the variant causing the infection. However, individuals infected with the Delta variant and those who tested PCR-negative appeared to have lower protection levels compared to those infected with Omicron, Beta, and B.1.640. Our results highlight the critical role of combining genomic surveillance with immunological assessments to gain a deeper understanding of variant evolution, immune responses, and their impact on public health strategies. This study provides essential tools to guide vaccine selection, develop effective immunization strategies, and improve epidemic control measures. Moving forward, we plan to analyze a larger sample size to create a more precise genetic map of SARS-CoV-2. This will further enhance genomic surveillance efforts, particularly in resource-limited settings, and contribute to regional and global pandemic preparedness.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-27
DOI
https://doi.org/10.5281/zenodo.14938942
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
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article

USING NEXT-GENERATION SEQUENCING (NGS) TO PREDICT AND MONITOR THE EVOLUTION OF SARS-COV-2 VARIANTS IN BENIN

Zenodo (CERN European Organization for Nuclear Research)
SARS-CoV-2 and COVID-19 Research
article

USING NEXT-GENERATION SEQUENCING (NGS) TO PREDICT AND MONITOR THE EVOLUTION OF SARS-COV-2 VARIANTS IN BENIN

article en

Abstract

The purposes of this investigation were identifying, describing and characterizing SARS-CoV-2 variants circulating in Benin (Delta, Omicron, Beta and B.1.640), using next generation sequencing NGS. The phylogenetic tree show evidence of rapid expansion of Delta variant compared and apart from its introductions and prevalence, pointed out comprehensively some specific mutations, such as L452R and T478K that promote infectivity and immune escape. Vaccinated participants showed significantly higher levels of neutralizing antibodies compared to those who were unvaccinated, regardless of the variant causing the infection. However, individuals infected with the Delta variant and those who tested PCR-negative appeared to have lower protection levels compared to those infected with Omicron, Beta, and B.1.640. Our results highlight the critical role of combining genomic surveillance with immunological assessments to gain a deeper understanding of variant evolution, immune responses, and their impact on public health strategies. This study provides essential tools to guide vaccine selection, develop effective immunization strategies, and improve epidemic control measures. Moving forward, we plan to analyze a larger sample size to create a more precise genetic map of SARS-CoV-2. This will further enhance genomic surveillance efforts, particularly in resource-limited settings, and contribute to regional and global pandemic preparedness.

Zenodo (CERN European Organization for Nuclear Research)
Ministère de la Santé (TN), National University of Sciences, Technologies, Engineering and Mathematics (BJ)
Openalex Percentile: Top 46%
SARS-CoV-2 and COVID-19 Research
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USING NEXT-GENERATION SEQUENCING (NGS) TO PREDICT AND MONITOR THE EVOLUTION OF SARS-COV-2 VARIANTS IN BENIN · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS