Genome Sequencing Reveals a Mixed Picture of SARS-CoV-2 Variant of Concern Circulation in Eastern Uttar Pradesh, India
Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coron...
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Published in | Frontiers in medicine Vol. 8; p. 781287 |
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07.01.2022
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Abstract | Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes−49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease. |
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AbstractList | Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes-49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease. Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes−49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease. Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes-49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease.Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes-49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease. |
Author | Misra, Brij R. Singh, Ravi Shankar Deval, Hirawati Gupta, Shashi Kavathekar, Asif Kant, Rajni Nyayanit, Dimpal A. Shete, Anita M. Yadav, Pragya D. Kumar, Niraj Pandey, Ashok K. Singh, Rajeev Kumar, Manoj Kumar, Abhinendra Zaman, Kamran Mishra, Shailendra Kumar Shankar, Prem Yadav, Girijesh Kumar Bhardwaj, Pooja Behera, Sthita Pragnya Prajapati, Sanjay Pandit, Priyanka Dwivedi, Gaurav Raj |
AuthorAffiliation | 3 All India Institute of Medical Sciences , Gorakhpur , India 2 Indian Council of Medical Research (ICMR)-National Institute of Virology , Pune , India 1 Indian Council of Medical Research (ICMR)-Regional Medical Research Centre , Gorakhpur , India |
AuthorAffiliation_xml | – name: 2 Indian Council of Medical Research (ICMR)-National Institute of Virology , Pune , India – name: 1 Indian Council of Medical Research (ICMR)-Regional Medical Research Centre , Gorakhpur , India – name: 3 All India Institute of Medical Sciences , Gorakhpur , India |
Author_xml | – sequence: 1 givenname: Hirawati surname: Deval fullname: Deval, Hirawati – sequence: 2 givenname: Dimpal A. surname: Nyayanit fullname: Nyayanit, Dimpal A. – sequence: 3 givenname: Shailendra Kumar surname: Mishra fullname: Mishra, Shailendra Kumar – sequence: 4 givenname: Pragya D. surname: Yadav fullname: Yadav, Pragya D. – sequence: 5 givenname: Kamran surname: Zaman fullname: Zaman, Kamran – sequence: 6 givenname: Prem surname: Shankar fullname: Shankar, Prem – sequence: 7 givenname: Brij R. surname: Misra fullname: Misra, Brij R. – sequence: 8 givenname: Sthita Pragnya surname: Behera fullname: Behera, Sthita Pragnya – sequence: 9 givenname: Niraj surname: Kumar fullname: Kumar, Niraj – sequence: 10 givenname: Abhinendra surname: Kumar fullname: Kumar, Abhinendra – sequence: 11 givenname: Pooja surname: Bhardwaj fullname: Bhardwaj, Pooja – sequence: 12 givenname: Gaurav Raj surname: Dwivedi fullname: Dwivedi, Gaurav Raj – sequence: 13 givenname: Rajeev surname: Singh fullname: Singh, Rajeev – sequence: 14 givenname: Anita M. surname: Shete fullname: Shete, Anita M. – sequence: 15 givenname: Priyanka surname: Pandit fullname: Pandit, Priyanka – sequence: 16 givenname: Ashok K. surname: Pandey fullname: Pandey, Ashok K. – sequence: 17 givenname: Girijesh Kumar surname: Yadav fullname: Yadav, Girijesh Kumar – sequence: 18 givenname: Shashi surname: Gupta fullname: Gupta, Shashi – sequence: 19 givenname: Manoj surname: Kumar fullname: Kumar, Manoj – sequence: 20 givenname: Asif surname: Kavathekar fullname: Kavathekar, Asif – sequence: 21 givenname: Ravi Shankar surname: Singh fullname: Singh, Ravi Shankar – sequence: 22 givenname: Sanjay surname: Prajapati fullname: Prajapati, Sanjay – sequence: 23 givenname: Rajni surname: Kant fullname: Kant, Rajni |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35071267$$D View this record in MEDLINE/PubMed |
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Copyright | Copyright © 2022 Deval, Nyayanit, Mishra, Yadav, Zaman, Shankar, Misra, Behera, Kumar, Kumar, Bhardwaj, Dwivedi, Singh, Shete, Pandit, Pandey, Yadav, Gupta, Kumar, Kavathekar, Singh, Prajapati and Kant. Copyright © 2022 Deval, Nyayanit, Mishra, Yadav, Zaman, Shankar, Misra, Behera, Kumar, Kumar, Bhardwaj, Dwivedi, Singh, Shete, Pandit, Pandey, Yadav, Gupta, Kumar, Kavathekar, Singh, Prajapati and Kant. 2022 Deval, Nyayanit, Mishra, Yadav, Zaman, Shankar, Misra, Behera, Kumar, Kumar, Bhardwaj, Dwivedi, Singh, Shete, Pandit, Pandey, Yadav, Gupta, Kumar, Kavathekar, Singh, Prajapati and Kant |
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Keywords | variant of concern SARS-CoV-2 mutations Eastern Uttar Pradesh India COVID-19 breakthrough infection whole-genome sequencing |
Language | English |
License | Copyright © 2022 Deval, Nyayanit, Mishra, Yadav, Zaman, Shankar, Misra, Behera, Kumar, Kumar, Bhardwaj, Dwivedi, Singh, Shete, Pandit, Pandey, Yadav, Gupta, Kumar, Kavathekar, Singh, Prajapati and Kant. 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. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Abu Montakim Tareq, University of Houston, United States; X. Qin, Baylor College of Medicine, United States Edited by: Talha Bin Emran, Begum Gulchemonara Trust University, Bangladesh This article was submitted to Infectious Diseases - Surveillance, Prevention and Treatment, a section of the journal Frontiers in Medicine |
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Title | Genome Sequencing Reveals a Mixed Picture of SARS-CoV-2 Variant of Concern Circulation in Eastern Uttar Pradesh, India |
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