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Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database
Corona virus disease 2019 (COVID-19) endemic has havoc on the world; the causative virus of the pandemic is SARS CoV-2. Pharmaceutical companies and academic institutes are in continuous efforts to identify anti-viral therapy or vaccines, but the most significant challenge faced is the highly evolvi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Indian Chemical Society. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442303/ http://dx.doi.org/10.1016/j.jics.2021.100156 |
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author | Mudgal, Shikha Yadav, Rohitash Haokip, Hoineiting Rebecca Pandit, Ananya Mary, Y. Sheena |
author_facet | Mudgal, Shikha Yadav, Rohitash Haokip, Hoineiting Rebecca Pandit, Ananya Mary, Y. Sheena |
author_sort | Mudgal, Shikha |
collection | PubMed |
description | Corona virus disease 2019 (COVID-19) endemic has havoc on the world; the causative virus of the pandemic is SARS CoV-2. Pharmaceutical companies and academic institutes are in continuous efforts to identify anti-viral therapy or vaccines, but the most significant challenge faced is the highly evolving genome of SARS CoV-2, which is imparting evolutionary selective benefits to the virus. To understand the viral mutations, we have retrieved nine hundred and thirty-four samples from different states of India via the GISAID database and analyzed the frequency of all types of point mutation in all structural, non-structural proteins, and accessory factors of SARS CoV-2. Spike glycol protein, nsp3, nsp6, nsp12, N and NS3 were the most evolving proteins. High frequency point mutations were Q496P (nsp2), A380V (nsp4), A994D (nsp3), L37F (nsp6), P323L & A97V (nsp12), Q57H (ns3), D614G (S), P13L (N), R203K (N), G204R (N) and S194L (N). |
format | Online Article Text |
id | pubmed-8442303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Indian Chemical Society. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84423032021-09-15 Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database Mudgal, Shikha Yadav, Rohitash Haokip, Hoineiting Rebecca Pandit, Ananya Mary, Y. Sheena Journal of the Indian Chemical Society Article Corona virus disease 2019 (COVID-19) endemic has havoc on the world; the causative virus of the pandemic is SARS CoV-2. Pharmaceutical companies and academic institutes are in continuous efforts to identify anti-viral therapy or vaccines, but the most significant challenge faced is the highly evolving genome of SARS CoV-2, which is imparting evolutionary selective benefits to the virus. To understand the viral mutations, we have retrieved nine hundred and thirty-four samples from different states of India via the GISAID database and analyzed the frequency of all types of point mutation in all structural, non-structural proteins, and accessory factors of SARS CoV-2. Spike glycol protein, nsp3, nsp6, nsp12, N and NS3 were the most evolving proteins. High frequency point mutations were Q496P (nsp2), A380V (nsp4), A994D (nsp3), L37F (nsp6), P323L & A97V (nsp12), Q57H (ns3), D614G (S), P13L (N), R203K (N), G204R (N) and S194L (N). Indian Chemical Society. Published by Elsevier B.V. 2021-10 2021-09-15 /pmc/articles/PMC8442303/ http://dx.doi.org/10.1016/j.jics.2021.100156 Text en © 2021 Indian Chemical Society. Published by Elsevier B.V. All rights reserved. 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 | Article Mudgal, Shikha Yadav, Rohitash Haokip, Hoineiting Rebecca Pandit, Ananya Mary, Y. Sheena Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title | Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title_full | Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title_fullStr | Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title_full_unstemmed | Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title_short | Genomic variation and point mutations analysis of Indian COVID-19 patient samples submitted in GISAID database |
title_sort | genomic variation and point mutations analysis of indian covid-19 patient samples submitted in gisaid database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442303/ http://dx.doi.org/10.1016/j.jics.2021.100156 |
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