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Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution
Various lineages of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) have contributed to prolongation of the Coronavirus Disease 2019 (COVID-19) pandemic. Several non-synonymous mutations in SARS-CoV-2 proteins have generated multiple SARS-CoV-2 variants. In our previous report, we have...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457672/ https://www.ncbi.nlm.nih.gov/pubmed/34562480 http://dx.doi.org/10.1016/j.envres.2021.112092 |
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author | Hassan, Sk Sarif Basu, Pallab Redwan, Elrashdy M. Lundstrom, Kenneth Choudhury, Pabitra Pal Serrano-Aroca, Ángel Azad, Gajendra Kumar Aljabali, Alaa A.A. Palu, Giorgio Abd El-Aziz, Tarek Mohamed Barh, Debmalya Uhal, Bruce D. Adadi, Parise Takayama, Kazuo Bazan, Nicolas G. Tambuwala, Murtaza M. Lal, Amos Chauhan, Gaurav Baetas-da-Cruz, Wagner Sherchan, Samendra P. Uversky, Vladimir N. |
author_facet | Hassan, Sk Sarif Basu, Pallab Redwan, Elrashdy M. Lundstrom, Kenneth Choudhury, Pabitra Pal Serrano-Aroca, Ángel Azad, Gajendra Kumar Aljabali, Alaa A.A. Palu, Giorgio Abd El-Aziz, Tarek Mohamed Barh, Debmalya Uhal, Bruce D. Adadi, Parise Takayama, Kazuo Bazan, Nicolas G. Tambuwala, Murtaza M. Lal, Amos Chauhan, Gaurav Baetas-da-Cruz, Wagner Sherchan, Samendra P. Uversky, Vladimir N. |
author_sort | Hassan, Sk Sarif |
collection | PubMed |
description | Various lineages of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) have contributed to prolongation of the Coronavirus Disease 2019 (COVID-19) pandemic. Several non-synonymous mutations in SARS-CoV-2 proteins have generated multiple SARS-CoV-2 variants. In our previous report, we have shown that an evenly uneven distribution of unique protein variants of SARS-CoV-2 is geo-location or demography-specific. However, the correlation between the demographic transmutability of the SARS-CoV-2 infection and mutations in various proteins remains unknown due to hidden symmetry/asymmetry in the occurrence of mutations. This study tracked how these mutations are emerging in SARS-CoV-2 proteins in six model countries and globally. In a geo-location, considering the mutations having a frequency of detection of at least 500 in each SARS-CoV-2 protein, we studied the country-wise percentage of invariant residues. Our data revealed that since October 2020, highly frequent mutations in SARS-CoV-2 have been observed mostly in the Open Reading Frame (ORF) 7b and ORF8, worldwide. No such highly frequent mutations in any of the SARS-CoV-2 proteins were found in the UK, India, and Brazil, which does not correlate with the degree of transmissibility of the virus in India and Brazil. However, we have found a signature that SARS-CoV-2 proteins were evolving at a higher rate, and considering global data, mutations are detected in the majority of the available amino acid locations. Fractal analysis of each protein's normalized factor time series showed a periodically aperiodic emergence of dominant variants for SARS-CoV-2 protein mutations across different countries. It was noticed that certain high-frequency variants have emerged in the last couple of months, and thus the emerging SARS-CoV-2 strains are expected to contain prevalent mutations in the ORF3a, membrane, and ORF8 proteins. In contrast to other beta-coronaviruses, SARS-CoV-2 variants have rapidly emerged based on demographically dependent mutations. Characterization of the periodically aperiodic nature of the demographic spread of SARS-CoV-2 variants in various countries can contribute to the identification of the origin of SARS-CoV-2. |
format | Online Article Text |
id | pubmed-8457672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84576722021-09-23 Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution Hassan, Sk Sarif Basu, Pallab Redwan, Elrashdy M. Lundstrom, Kenneth Choudhury, Pabitra Pal Serrano-Aroca, Ángel Azad, Gajendra Kumar Aljabali, Alaa A.A. Palu, Giorgio Abd El-Aziz, Tarek Mohamed Barh, Debmalya Uhal, Bruce D. Adadi, Parise Takayama, Kazuo Bazan, Nicolas G. Tambuwala, Murtaza M. Lal, Amos Chauhan, Gaurav Baetas-da-Cruz, Wagner Sherchan, Samendra P. Uversky, Vladimir N. Environ Res Article Various lineages of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) have contributed to prolongation of the Coronavirus Disease 2019 (COVID-19) pandemic. Several non-synonymous mutations in SARS-CoV-2 proteins have generated multiple SARS-CoV-2 variants. In our previous report, we have shown that an evenly uneven distribution of unique protein variants of SARS-CoV-2 is geo-location or demography-specific. However, the correlation between the demographic transmutability of the SARS-CoV-2 infection and mutations in various proteins remains unknown due to hidden symmetry/asymmetry in the occurrence of mutations. This study tracked how these mutations are emerging in SARS-CoV-2 proteins in six model countries and globally. In a geo-location, considering the mutations having a frequency of detection of at least 500 in each SARS-CoV-2 protein, we studied the country-wise percentage of invariant residues. Our data revealed that since October 2020, highly frequent mutations in SARS-CoV-2 have been observed mostly in the Open Reading Frame (ORF) 7b and ORF8, worldwide. No such highly frequent mutations in any of the SARS-CoV-2 proteins were found in the UK, India, and Brazil, which does not correlate with the degree of transmissibility of the virus in India and Brazil. However, we have found a signature that SARS-CoV-2 proteins were evolving at a higher rate, and considering global data, mutations are detected in the majority of the available amino acid locations. Fractal analysis of each protein's normalized factor time series showed a periodically aperiodic emergence of dominant variants for SARS-CoV-2 protein mutations across different countries. It was noticed that certain high-frequency variants have emerged in the last couple of months, and thus the emerging SARS-CoV-2 strains are expected to contain prevalent mutations in the ORF3a, membrane, and ORF8 proteins. In contrast to other beta-coronaviruses, SARS-CoV-2 variants have rapidly emerged based on demographically dependent mutations. Characterization of the periodically aperiodic nature of the demographic spread of SARS-CoV-2 variants in various countries can contribute to the identification of the origin of SARS-CoV-2. Elsevier Inc. 2022-03 2021-09-22 /pmc/articles/PMC8457672/ /pubmed/34562480 http://dx.doi.org/10.1016/j.envres.2021.112092 Text en © 2021 Elsevier Inc. 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 Hassan, Sk Sarif Basu, Pallab Redwan, Elrashdy M. Lundstrom, Kenneth Choudhury, Pabitra Pal Serrano-Aroca, Ángel Azad, Gajendra Kumar Aljabali, Alaa A.A. Palu, Giorgio Abd El-Aziz, Tarek Mohamed Barh, Debmalya Uhal, Bruce D. Adadi, Parise Takayama, Kazuo Bazan, Nicolas G. Tambuwala, Murtaza M. Lal, Amos Chauhan, Gaurav Baetas-da-Cruz, Wagner Sherchan, Samendra P. Uversky, Vladimir N. Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title | Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title_full | Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title_fullStr | Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title_full_unstemmed | Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title_short | Periodically aperiodic pattern of SARS-CoV-2 mutations underpins the uncertainty of its origin and evolution |
title_sort | periodically aperiodic pattern of sars-cov-2 mutations underpins the uncertainty of its origin and evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457672/ https://www.ncbi.nlm.nih.gov/pubmed/34562480 http://dx.doi.org/10.1016/j.envres.2021.112092 |
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