ArticleFrontiers in medicine2023
Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages.
Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Genomic evolution of SARS-CoV-2 in Morocco: Insights from whole genome sequences collected from 2020 to 2024.Virus research · 2025Article
- SARS-CoV-2 Alchemy: Understanding the dynamics of age, vaccination, and geography in the evolution of SARS-CoV-2 in India.PLoS neglected tropical diseases · 2025Article
- Therapeutic targeting of the host-microbiota-immune axis: implications for precision health.Frontiers in immunology · 2025Review
- Genomic and ancestral variations linked to the development of post-acute sequelae of SARS-CoV-2 infection in Indian populations.Frontiers in genetics · 2025Article
- Recombination Events Among SARS-CoV-2 Omicron Subvariants: Impact on Spike Interaction With ACE2 Receptor and Neutralizing Antibodies.Evolutionary bioinformatics online · 2024Article
- Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics.Frontiers in bioengineering and biotechnology · 2024Article
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Authors and funding
9 authors.
Funding
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Abstract
Introduction: Recombination serves as a common strategy employed by RNA viruses for their genetic evolution. Extensive genomic surveillance during the COVID-19 pandemic has reported SARS-CoV-2 Recombinant strains indicating recombination events during the viral evolution. This study introspects the phenomenon of genome recombination by tracing the footprint of prominent lineages of SARS-CoV-2 at different time points in the context of on-going evolution and emergence of Recombinants. Method: Whole genome sequencing was carried out for 2,516 SARS-CoV-2 (discovery cohort) and 1,126 (validation cohort) using nasopharyngeal samples collected between the time period of March 2020 to August 2022, as part of the genomic surveillance program. The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points. Results: Mutational diversity and abundance evaluation across the 12 lineages identified 58 Recombinant sequences as harboring the least number of mutations ( Conclusion: Together, the findings help to understand the evolution and emergence of Recombinants after the Omicron lineages, for sustenance and adaptability, to maintain the epidemic spread of SARS-CoV-2 in the host population already high in immunity levels.
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