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Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis
PURPOSE: As of June 30, 2021, WHO reported 181,344,224 confirmed cases worldwide and 3,934,252 deaths due to SARS CoV-2. India accounts almost 10% of the total mortality. The mutated Variants of Concern (VoC) and Variants of Interest (VoI) has acquired non-synonymous amino acid substitutions in Spik...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884791/ http://dx.doi.org/10.1016/j.ijid.2021.12.083 |
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author | S, P. R, S. |
author_facet | S, P. R, S. |
author_sort | S, P. |
collection | PubMed |
description | PURPOSE: As of June 30, 2021, WHO reported 181,344,224 confirmed cases worldwide and 3,934,252 deaths due to SARS CoV-2. India accounts almost 10% of the total mortality. The mutated Variants of Concern (VoC) and Variants of Interest (VoI) has acquired non-synonymous amino acid substitutions in Spike (S), ORF1a, ORF1b, Nucleocapsid (N), Membrane (M), Envelope (E), ORF6, ORF7a, ORF3a and ORF8 regions exhibiting more virulence and higher transmission rate. The S gene displaying nucleotide polymorphisms are studied for identification of major SARS CoV-2 variants circulating in India using in silico PCR-RFLP analysis. METHODS & MATERIALS: DNA sequences of major SARS CoV-2 variants [alpha (B.1.1.7), beta (B.1.351), delta (B.1.617.2), epsilon (B.1.429+B.1.427), eta (B.1.525) and zeta (P.2)] prevailing in India retrieved from GISAID database were annotated using VIPR-VIGOR4 genome annotator tool. The S gene of variants were aligned using CLUSTALW algorithm in MEGA-X with default parameters and analyzed for sequence identity using Geneious Prime v2019.2.1. Primers were designed using Primer-BLAST tool, proof-read using FastPCR v6.7.46 and PCR-amplified using Snapgene v.3.2.1. Unique restriction sites in S amplicons of each variant were subjected to online Restriction Analyzer tool. The S amplicons were digested with restriction endonucleases and the band profile of each variant were visualized in the gel simulation tool using Snapgene v.3.2.1. RESULTS: The percentage of identical sites present in S region among SARS CoV-2 variants was found to be 98.6%. The amplified products were in the length of 3,689 and 3,698 bp. Out of 400 restriction endonucleases identified, 14 buffer-compatible enzymes were selected for single-step restriction digestion to generate unique RFLP profiles for each variant. The BsaXI-XcmI-AcuI triple digest showed unique banding pattern identifiers on 2% agarose gel for individual variants including alpha, eta, delta and zeta. The ApaLI-BsaI double digest produced distinct band profiles for beta and epsilon variants. CONCLUSION: Our study strongly suggests PCR-RFLP analysis of Spike region can differentiate major SARS CoV-2 variants that are circulating in India. Further, quadruple digestion based wet lab experiments are underway to explore the possibility of surveillance of the major variants using a single-tube reaction followed by agarose gel-based profiling. |
format | Online Article Text |
id | pubmed-8884791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88847912022-03-01 Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis S, P. R, S. Int J Infect Dis Ps04.29 (526) PURPOSE: As of June 30, 2021, WHO reported 181,344,224 confirmed cases worldwide and 3,934,252 deaths due to SARS CoV-2. India accounts almost 10% of the total mortality. The mutated Variants of Concern (VoC) and Variants of Interest (VoI) has acquired non-synonymous amino acid substitutions in Spike (S), ORF1a, ORF1b, Nucleocapsid (N), Membrane (M), Envelope (E), ORF6, ORF7a, ORF3a and ORF8 regions exhibiting more virulence and higher transmission rate. The S gene displaying nucleotide polymorphisms are studied for identification of major SARS CoV-2 variants circulating in India using in silico PCR-RFLP analysis. METHODS & MATERIALS: DNA sequences of major SARS CoV-2 variants [alpha (B.1.1.7), beta (B.1.351), delta (B.1.617.2), epsilon (B.1.429+B.1.427), eta (B.1.525) and zeta (P.2)] prevailing in India retrieved from GISAID database were annotated using VIPR-VIGOR4 genome annotator tool. The S gene of variants were aligned using CLUSTALW algorithm in MEGA-X with default parameters and analyzed for sequence identity using Geneious Prime v2019.2.1. Primers were designed using Primer-BLAST tool, proof-read using FastPCR v6.7.46 and PCR-amplified using Snapgene v.3.2.1. Unique restriction sites in S amplicons of each variant were subjected to online Restriction Analyzer tool. The S amplicons were digested with restriction endonucleases and the band profile of each variant were visualized in the gel simulation tool using Snapgene v.3.2.1. RESULTS: The percentage of identical sites present in S region among SARS CoV-2 variants was found to be 98.6%. The amplified products were in the length of 3,689 and 3,698 bp. Out of 400 restriction endonucleases identified, 14 buffer-compatible enzymes were selected for single-step restriction digestion to generate unique RFLP profiles for each variant. The BsaXI-XcmI-AcuI triple digest showed unique banding pattern identifiers on 2% agarose gel for individual variants including alpha, eta, delta and zeta. The ApaLI-BsaI double digest produced distinct band profiles for beta and epsilon variants. CONCLUSION: Our study strongly suggests PCR-RFLP analysis of Spike region can differentiate major SARS CoV-2 variants that are circulating in India. Further, quadruple digestion based wet lab experiments are underway to explore the possibility of surveillance of the major variants using a single-tube reaction followed by agarose gel-based profiling. Published by Elsevier Ltd. 2022-03 2022-02-28 /pmc/articles/PMC8884791/ http://dx.doi.org/10.1016/j.ijid.2021.12.083 Text en Copyright © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Ps04.29 (526) S, P. R, S. Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title | Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title_full | Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title_fullStr | Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title_full_unstemmed | Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title_short | Identification of Major SARS CoV-2 Variants in India using in silico PCR-RFLP analysis |
title_sort | identification of major sars cov-2 variants in india using in silico pcr-rflp analysis |
topic | Ps04.29 (526) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884791/ http://dx.doi.org/10.1016/j.ijid.2021.12.083 |
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