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Characterizing SARS-CoV-2 mutations in the United States

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been mutating since it was first sequenced in early January 2020. The genetic variants have developed into a few distinct clusters with different properties. Since the United States (US) has the highest number of viral infected pat...

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Autores principales: Wang, Rui, Chen, Jiahui, Gao, Kaifu, Hozumi, Yuta, Yin, Changchuan, Wei, Guo-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430589/
https://www.ncbi.nlm.nih.gov/pubmed/32818213
http://dx.doi.org/10.21203/rs.3.rs-49671/v1
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author Wang, Rui
Chen, Jiahui
Gao, Kaifu
Hozumi, Yuta
Yin, Changchuan
Wei, Guo-Wei
author_facet Wang, Rui
Chen, Jiahui
Gao, Kaifu
Hozumi, Yuta
Yin, Changchuan
Wei, Guo-Wei
author_sort Wang, Rui
collection PubMed
description The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been mutating since it was first sequenced in early January 2020. The genetic variants have developed into a few distinct clusters with different properties. Since the United States (US) has the highest number of viral infected patients globally, it is essential to understand the US SARS-CoV-2. Using genotyping, sequence-alignment, time-evolution, k-means clustering, protein-folding stability, algebraic topology, and network theory, we reveal that the US SARS-CoV-2 has four substrains and five top US SARS-CoV-2 mutations were first detected in China (2 cases), Singapore (2 cases), and the United Kingdom (1 case). The next three top US SARS-CoV-2 mutations were first detected in the US. These eight top mutations belong to two disconnected groups. The first group consisting of 5 concurrent mutations is prevailing, while the other group with three concurrent mutations gradually fades out. Our analysis suggests that female immune systems are more active than those of males in responding to SARS-CoV-2 infections. We identify that one of the top mutations, 27964C>T-(S24L) on ORF8, has an unusually strong gender dependence. Based on the analysis of all mutations on the spike protein, we further uncover that three of four US SASR-CoV-2 substrains become more infectious. Our study calls for effective viral control and containing strategies in the US.
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spelling pubmed-74305892020-08-18 Characterizing SARS-CoV-2 mutations in the United States Wang, Rui Chen, Jiahui Gao, Kaifu Hozumi, Yuta Yin, Changchuan Wei, Guo-Wei Res Sq Article The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been mutating since it was first sequenced in early January 2020. The genetic variants have developed into a few distinct clusters with different properties. Since the United States (US) has the highest number of viral infected patients globally, it is essential to understand the US SARS-CoV-2. Using genotyping, sequence-alignment, time-evolution, k-means clustering, protein-folding stability, algebraic topology, and network theory, we reveal that the US SARS-CoV-2 has four substrains and five top US SARS-CoV-2 mutations were first detected in China (2 cases), Singapore (2 cases), and the United Kingdom (1 case). The next three top US SARS-CoV-2 mutations were first detected in the US. These eight top mutations belong to two disconnected groups. The first group consisting of 5 concurrent mutations is prevailing, while the other group with three concurrent mutations gradually fades out. Our analysis suggests that female immune systems are more active than those of males in responding to SARS-CoV-2 infections. We identify that one of the top mutations, 27964C>T-(S24L) on ORF8, has an unusually strong gender dependence. Based on the analysis of all mutations on the spike protein, we further uncover that three of four US SASR-CoV-2 substrains become more infectious. Our study calls for effective viral control and containing strategies in the US. American Journal Experts 2020-08-11 /pmc/articles/PMC7430589/ /pubmed/32818213 http://dx.doi.org/10.21203/rs.3.rs-49671/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Wang, Rui
Chen, Jiahui
Gao, Kaifu
Hozumi, Yuta
Yin, Changchuan
Wei, Guo-Wei
Characterizing SARS-CoV-2 mutations in the United States
title Characterizing SARS-CoV-2 mutations in the United States
title_full Characterizing SARS-CoV-2 mutations in the United States
title_fullStr Characterizing SARS-CoV-2 mutations in the United States
title_full_unstemmed Characterizing SARS-CoV-2 mutations in the United States
title_short Characterizing SARS-CoV-2 mutations in the United States
title_sort characterizing sars-cov-2 mutations in the united states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430589/
https://www.ncbi.nlm.nih.gov/pubmed/32818213
http://dx.doi.org/10.21203/rs.3.rs-49671/v1
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