ArticleTransboundary and emerging diseases2022
SARS-CoV-2 variants and spike mutations involved in second wave of COVID-19 pandemic in India.
Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 15 citations in OpenAlex.
- Article
- Molecular characterization, phylogenetic and variation analyses of SARS-CoV-2 strains in India.Virusdisease · 2024Article
- Machine learning-based approach KEVOLVE efficiently identifies SARS-CoV-2 variant-specific genomic signatures.PloS one · 2024Article
- Characterization of SARS-CoV-2 Variants in Military and Civilian Personnel of an Air Force Airport during Three Pandemic Waves in Italy.Microorganisms · 2023Article
- Nanotechnology-Based RNA Vaccines: Fundamentals, Advantages and Challenges.Pharmaceutics · 2023Review
- Article
- SARS-CoV-2 variants and spike mutations involved in second wave of COVID-19 pandemic in India.Transboundary and emerging diseases · 2022Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Against the backdrop of the second wave of COVID-19 pandemic in India that started in March 2021, we have monitored the spike (S) protein mutations in all the reported (GISAID portal) whole-genome sequences of SARS-CoV-2 circulating in India from 1 January 2021 to 31 August 2021. In the 43,102 SARS-CoV-2 genomic sequences analysed, we have identified 24,260 amino acid mutations in the S protein, based on which 265 Pango lineages could be categorized. The dominant lineage in most of the 28 states of India and its 8 union territories was B.1.617.2 (the delta variant). However, the states Madhya Pradesh, Jammu & Kashmir, and Punjab had B.1.1.7 (alpha variant) as the major lineage, while the Himachal Pradesh state reported B.1.36 as the dominating lineage. A detailed analysis of various domains of S protein was carried out for detecting mutations having a prevalence of >1%; 70, 18, 7, 3, 9, 4, and 1 (N = 112) such mutations were observed in the N-terminal domain, receptor binding domain, C -terminal domain, fusion peptide region, heptapeptide repeat (HR)-1 domains, signal peptide domain, and transmembrane region, respectively. However, no mutations were recorded in the HR-2 and cytoplasmic domains of the S protein. Interestingly, 13.39% (N = 15) of these mutations were reported to increase the infectivity and pathogenicity of the virus; 2% (N = 3) were known to be vaccine breakthrough mutations, and 0.89% (N = 1) were known to escape neutralizing antibodies. The biological significance of 82% (N = 92) of the reported mutations is yet unknown. As SARS-CoV-2 variants are emerging rapidly, it is critical to continuously monitor local viral mutations to understand national trends of virus circulation. This can tremendously help in designing better preventive regimens in the country, and avoid vaccine breakthrough infections.
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