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Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity
Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has emerged as a global pandemic worldwide. In this study, we used ARTIC primers–based amplicon sequencing to profile 225 SARS-CoV-2 genomes from India. Phylogenetic analysis of 202...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732478/ https://www.ncbi.nlm.nih.gov/pubmed/33329480 http://dx.doi.org/10.3389/fmicb.2020.594928 |
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author | Raghav, Sunil Ghosh, Arup Turuk, Jyotirmayee Kumar, Sugandh Jha, Atimukta Madhulika, Swati Priyadarshini, Manasi Biswas, Viplov K. Shyamli, P. Sushree Singh, Bharati Singh, Neha Singh, Deepika Datey, Ankita Avula, Kiran Smita, Shuchi Sabat, Jyotsnamayee Bhattacharya, Debdutta Kshatri, Jaya Singh Vasudevan, Dileep Suryawanshi, Amol Dash, Rupesh Senapati, Shantibhushan Beuria, Tushar K. Swain, Rajeeb Chattopadhyay, Soma Syed, Gulam Hussain Dixit, Anshuman Prasad, Punit Pati, Sanghamitra Parida, Ajay |
author_facet | Raghav, Sunil Ghosh, Arup Turuk, Jyotirmayee Kumar, Sugandh Jha, Atimukta Madhulika, Swati Priyadarshini, Manasi Biswas, Viplov K. Shyamli, P. Sushree Singh, Bharati Singh, Neha Singh, Deepika Datey, Ankita Avula, Kiran Smita, Shuchi Sabat, Jyotsnamayee Bhattacharya, Debdutta Kshatri, Jaya Singh Vasudevan, Dileep Suryawanshi, Amol Dash, Rupesh Senapati, Shantibhushan Beuria, Tushar K. Swain, Rajeeb Chattopadhyay, Soma Syed, Gulam Hussain Dixit, Anshuman Prasad, Punit Pati, Sanghamitra Parida, Ajay |
author_sort | Raghav, Sunil |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has emerged as a global pandemic worldwide. In this study, we used ARTIC primers–based amplicon sequencing to profile 225 SARS-CoV-2 genomes from India. Phylogenetic analysis of 202 high-quality assemblies identified the presence of all the five reported clades 19A, 19B, 20A, 20B, and 20C in the population. The analyses revealed Europe and Southeast Asia as two major routes for introduction of the disease in India followed by local transmission. Interestingly, the19B clade was found to be more prevalent in our sequenced genomes (17%) compared to other genomes reported so far from India. Haplotype network analysis showed evolution of 19A and 19B clades in parallel from predominantly Gujarat state in India, suggesting it to be one of the major routes of disease transmission in India during the months of March and April, whereas 20B and 20C appeared to evolve from 20A. At the same time, 20A and 20B clades depicted prevalence of four common mutations 241 C > T in 5′ UTR, P4715L, F942F along with D614G in the Spike protein. D614G mutation has been reported to increase virus shedding and infectivity. Our molecular modeling and docking analysis identified that D614G mutation resulted in enhanced affinity of Spike S1–S2 hinge region with TMPRSS2 protease, possibly the reason for increased shedding of S1 domain in G614 as compared to D614. Moreover, we also observed an increased concordance of G614 mutation with the viral load, as evident from decreased Ct value of Spike and the ORF1ab gene. |
format | Online Article Text |
id | pubmed-7732478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77324782020-12-15 Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity Raghav, Sunil Ghosh, Arup Turuk, Jyotirmayee Kumar, Sugandh Jha, Atimukta Madhulika, Swati Priyadarshini, Manasi Biswas, Viplov K. Shyamli, P. Sushree Singh, Bharati Singh, Neha Singh, Deepika Datey, Ankita Avula, Kiran Smita, Shuchi Sabat, Jyotsnamayee Bhattacharya, Debdutta Kshatri, Jaya Singh Vasudevan, Dileep Suryawanshi, Amol Dash, Rupesh Senapati, Shantibhushan Beuria, Tushar K. Swain, Rajeeb Chattopadhyay, Soma Syed, Gulam Hussain Dixit, Anshuman Prasad, Punit Pati, Sanghamitra Parida, Ajay Front Microbiol Microbiology Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has emerged as a global pandemic worldwide. In this study, we used ARTIC primers–based amplicon sequencing to profile 225 SARS-CoV-2 genomes from India. Phylogenetic analysis of 202 high-quality assemblies identified the presence of all the five reported clades 19A, 19B, 20A, 20B, and 20C in the population. The analyses revealed Europe and Southeast Asia as two major routes for introduction of the disease in India followed by local transmission. Interestingly, the19B clade was found to be more prevalent in our sequenced genomes (17%) compared to other genomes reported so far from India. Haplotype network analysis showed evolution of 19A and 19B clades in parallel from predominantly Gujarat state in India, suggesting it to be one of the major routes of disease transmission in India during the months of March and April, whereas 20B and 20C appeared to evolve from 20A. At the same time, 20A and 20B clades depicted prevalence of four common mutations 241 C > T in 5′ UTR, P4715L, F942F along with D614G in the Spike protein. D614G mutation has been reported to increase virus shedding and infectivity. Our molecular modeling and docking analysis identified that D614G mutation resulted in enhanced affinity of Spike S1–S2 hinge region with TMPRSS2 protease, possibly the reason for increased shedding of S1 domain in G614 as compared to D614. Moreover, we also observed an increased concordance of G614 mutation with the viral load, as evident from decreased Ct value of Spike and the ORF1ab gene. Frontiers Media S.A. 2020-11-23 /pmc/articles/PMC7732478/ /pubmed/33329480 http://dx.doi.org/10.3389/fmicb.2020.594928 Text en Copyright © 2020 Raghav, Ghosh, Turuk, Kumar, Jha, Madhulika, Priyadarshini, Biswas, Shyamli, Singh, Singh, Singh, Datey, Avula, Smita, Sabat, Bhattacharya, Kshatri, Vasudevan, Suryawanshi, Dash, Senapati, Beuria, Swain, Chattopadhyay, Syed, Dixit, Prasad, Odisha COVID-19 Study Group, ILS COVID-19 Team, Pati, and Parida. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Raghav, Sunil Ghosh, Arup Turuk, Jyotirmayee Kumar, Sugandh Jha, Atimukta Madhulika, Swati Priyadarshini, Manasi Biswas, Viplov K. Shyamli, P. Sushree Singh, Bharati Singh, Neha Singh, Deepika Datey, Ankita Avula, Kiran Smita, Shuchi Sabat, Jyotsnamayee Bhattacharya, Debdutta Kshatri, Jaya Singh Vasudevan, Dileep Suryawanshi, Amol Dash, Rupesh Senapati, Shantibhushan Beuria, Tushar K. Swain, Rajeeb Chattopadhyay, Soma Syed, Gulam Hussain Dixit, Anshuman Prasad, Punit Pati, Sanghamitra Parida, Ajay Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title | Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title_full | Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title_fullStr | Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title_full_unstemmed | Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title_short | Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity |
title_sort | analysis of indian sars-cov-2 genomes reveals prevalence of d614g mutation in spike protein predicting an increase in interaction with tmprss2 and virus infectivity |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732478/ https://www.ncbi.nlm.nih.gov/pubmed/33329480 http://dx.doi.org/10.3389/fmicb.2020.594928 |
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