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Time-lapse sentinel surveillance of SARS-CoV-2 spread in India
The novel coronavirus 2019 (COVID-19) global pandemic has drastically affected the world economy, raised public anxiety, and placed a substantial psychological burden on the governments and healthcare professionals by affecting over 4.7 million people worldwide. As a preventive measure to minimise t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580942/ https://www.ncbi.nlm.nih.gov/pubmed/33091066 http://dx.doi.org/10.1371/journal.pone.0241172 |
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author | Thakur, Mukesh Singh, Abhishek Joshi, Bheem Dutt Ghosh, Avijit Singh, Sujeet Kumar Singh, Neha Sharma, Lalit Kumar Chandra, Kailash |
author_facet | Thakur, Mukesh Singh, Abhishek Joshi, Bheem Dutt Ghosh, Avijit Singh, Sujeet Kumar Singh, Neha Sharma, Lalit Kumar Chandra, Kailash |
author_sort | Thakur, Mukesh |
collection | PubMed |
description | The novel coronavirus 2019 (COVID-19) global pandemic has drastically affected the world economy, raised public anxiety, and placed a substantial psychological burden on the governments and healthcare professionals by affecting over 4.7 million people worldwide. As a preventive measure to minimise the risk of community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in India, a nationwide lockdown was imposed initially for 21 days to limit the movement of 1.3 billion people. These restrictions continue in most areas, with a conditional relaxation occurring in a few Indian states. In an attempt to assess the emerging mutants of SARS-CoV-2 and determine their spread in India, we analysed 112 complete genomes of SARS-CoV-2 in a time-lapse manner. We found 72 distinct SARS-CoV-2 haplotypes, defined by 143 polymorphic sites and high haplotype diversity, suggesting that this virus possesses a high evolutionary potential. We also demonstrated that early introduction of SARS-CoV-2 into India was from China, Italy and Iran and observed signs of community spread of the virus following its rapid demographic expansion since its first outbreak in the country. Additionally, we identified 18 mutations in the SARS-CoV-2 spike glycoprotein and a few selected mutations showed to increase stability, binding affinity, and molecular flexibility in the overall tertiary structure of the protein that may facilitate interaction between the receptor binding domain (RBD) of spike protein and the human angiotensin-converting enzyme 2 (ACE2) receptor. The study provides a pragmatic view of haplotype-dependent spread of SARS-CoV-2 in India which could be important in tailoring the pharmacologic treatments to be more effective for those infected with the most common haplotypes. The findings based on the time-lapse sentinel surveillance of SARS-CoV-2 will aid in the development of a real-time practical framework to tackle the ongoing, fast-evolving epidemic challenges in the country. |
format | Online Article Text |
id | pubmed-7580942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75809422020-10-27 Time-lapse sentinel surveillance of SARS-CoV-2 spread in India Thakur, Mukesh Singh, Abhishek Joshi, Bheem Dutt Ghosh, Avijit Singh, Sujeet Kumar Singh, Neha Sharma, Lalit Kumar Chandra, Kailash PLoS One Research Article The novel coronavirus 2019 (COVID-19) global pandemic has drastically affected the world economy, raised public anxiety, and placed a substantial psychological burden on the governments and healthcare professionals by affecting over 4.7 million people worldwide. As a preventive measure to minimise the risk of community transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in India, a nationwide lockdown was imposed initially for 21 days to limit the movement of 1.3 billion people. These restrictions continue in most areas, with a conditional relaxation occurring in a few Indian states. In an attempt to assess the emerging mutants of SARS-CoV-2 and determine their spread in India, we analysed 112 complete genomes of SARS-CoV-2 in a time-lapse manner. We found 72 distinct SARS-CoV-2 haplotypes, defined by 143 polymorphic sites and high haplotype diversity, suggesting that this virus possesses a high evolutionary potential. We also demonstrated that early introduction of SARS-CoV-2 into India was from China, Italy and Iran and observed signs of community spread of the virus following its rapid demographic expansion since its first outbreak in the country. Additionally, we identified 18 mutations in the SARS-CoV-2 spike glycoprotein and a few selected mutations showed to increase stability, binding affinity, and molecular flexibility in the overall tertiary structure of the protein that may facilitate interaction between the receptor binding domain (RBD) of spike protein and the human angiotensin-converting enzyme 2 (ACE2) receptor. The study provides a pragmatic view of haplotype-dependent spread of SARS-CoV-2 in India which could be important in tailoring the pharmacologic treatments to be more effective for those infected with the most common haplotypes. The findings based on the time-lapse sentinel surveillance of SARS-CoV-2 will aid in the development of a real-time practical framework to tackle the ongoing, fast-evolving epidemic challenges in the country. Public Library of Science 2020-10-22 /pmc/articles/PMC7580942/ /pubmed/33091066 http://dx.doi.org/10.1371/journal.pone.0241172 Text en © 2020 Thakur et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Thakur, Mukesh Singh, Abhishek Joshi, Bheem Dutt Ghosh, Avijit Singh, Sujeet Kumar Singh, Neha Sharma, Lalit Kumar Chandra, Kailash Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title | Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title_full | Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title_fullStr | Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title_full_unstemmed | Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title_short | Time-lapse sentinel surveillance of SARS-CoV-2 spread in India |
title_sort | time-lapse sentinel surveillance of sars-cov-2 spread in india |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580942/ https://www.ncbi.nlm.nih.gov/pubmed/33091066 http://dx.doi.org/10.1371/journal.pone.0241172 |
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