Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions
Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequence...
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Frontiers Media S.A.
2021-03-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.630542/full |
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English |
format |
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DOAJ |
author |
Chandni Radhakrishnan Mohit Kumar Divakar Mohit Kumar Divakar Abhinav Jain Abhinav Jain Prasanth Viswanathan Rahul C. Bhoyar Bani Jolly Bani Jolly Mohamed Imran Mohamed Imran Disha Sharma Mercy Rophina Mercy Rophina Gyan Ranjan Gyan Ranjan Paras Sehgal Paras Sehgal Beena Philomina Jose Rajendran Vadukkoot Raman Thulaseedharan Nallaveettil Kesavan Kalpana George Sheela Mathew Jayesh Kumar Poovullathil Sajeeth Kumar Keeriyatt Govindan Priyanka Raveendranadhan Nair Shameer Vadekkandiyil Vineeth Gladson Midhun Mohan Fairoz Cheriyalingal Parambath Mohit Mangla Mohit Mangla Afra Shamnath Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium Sridhar Sivasubbu Sridhar Sivasubbu Vinod Scaria Vinod Scaria |
spellingShingle |
Chandni Radhakrishnan Mohit Kumar Divakar Mohit Kumar Divakar Abhinav Jain Abhinav Jain Prasanth Viswanathan Rahul C. Bhoyar Bani Jolly Bani Jolly Mohamed Imran Mohamed Imran Disha Sharma Mercy Rophina Mercy Rophina Gyan Ranjan Gyan Ranjan Paras Sehgal Paras Sehgal Beena Philomina Jose Rajendran Vadukkoot Raman Thulaseedharan Nallaveettil Kesavan Kalpana George Sheela Mathew Jayesh Kumar Poovullathil Sajeeth Kumar Keeriyatt Govindan Priyanka Raveendranadhan Nair Shameer Vadekkandiyil Vineeth Gladson Midhun Mohan Fairoz Cheriyalingal Parambath Mohit Mangla Mohit Mangla Afra Shamnath Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium Sridhar Sivasubbu Sridhar Sivasubbu Vinod Scaria Vinod Scaria Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions Frontiers in Genetics COVID-19 COVIDSeq Kerala genetic epidemiology variants |
author_facet |
Chandni Radhakrishnan Mohit Kumar Divakar Mohit Kumar Divakar Abhinav Jain Abhinav Jain Prasanth Viswanathan Rahul C. Bhoyar Bani Jolly Bani Jolly Mohamed Imran Mohamed Imran Disha Sharma Mercy Rophina Mercy Rophina Gyan Ranjan Gyan Ranjan Paras Sehgal Paras Sehgal Beena Philomina Jose Rajendran Vadukkoot Raman Thulaseedharan Nallaveettil Kesavan Kalpana George Sheela Mathew Jayesh Kumar Poovullathil Sajeeth Kumar Keeriyatt Govindan Priyanka Raveendranadhan Nair Shameer Vadekkandiyil Vineeth Gladson Midhun Mohan Fairoz Cheriyalingal Parambath Mohit Mangla Mohit Mangla Afra Shamnath Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium Sridhar Sivasubbu Sridhar Sivasubbu Vinod Scaria Vinod Scaria |
author_sort |
Chandni Radhakrishnan |
title |
Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions |
title_short |
Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions |
title_full |
Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions |
title_fullStr |
Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions |
title_full_unstemmed |
Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions |
title_sort |
initial insights into the genetic epidemiology of sars-cov-2 isolates from kerala suggest local spread from limited introductions |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2021-03-01 |
description |
Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequenced 200 samples from patients in Kerala using COVIDSeq protocol amplicon-based sequencing. The analysis identified 166 high-quality single-nucleotide variants encompassing four novel variants and 89 new variants in the Indian isolated SARS-CoV-2. Phylogenetic and haplotype analysis revealed that the virus was dominated by three distinct introductions followed by local spread suggesting recent outbreaks and that it belongs to the A2a clade. Further analysis of the functional variants revealed that two variants in the S gene associated with increased infectivity and five variants mapped in primer binding sites affect the efficacy of RT-PCR. To the best of our knowledge, this is the first and most comprehensive report of SARS-CoV-2 genetic epidemiology from Kerala. |
topic |
COVID-19 COVIDSeq Kerala genetic epidemiology variants |
url |
https://www.frontiersin.org/articles/10.3389/fgene.2021.630542/full |
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doaj-d3ffd3757e0b410d9c1551d4108242542021-03-17T05:24:33ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-03-011210.3389/fgene.2021.630542630542Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited IntroductionsChandni Radhakrishnan0Mohit Kumar Divakar1Mohit Kumar Divakar2Abhinav Jain3Abhinav Jain4Prasanth Viswanathan5Rahul C. Bhoyar6Bani Jolly7Bani Jolly8Mohamed Imran9Mohamed Imran10Disha Sharma11Mercy Rophina12Mercy Rophina13Gyan Ranjan14Gyan Ranjan15Paras Sehgal16Paras Sehgal17Beena Philomina Jose18Rajendran Vadukkoot Raman19Thulaseedharan Nallaveettil Kesavan20Kalpana George21Sheela Mathew22Jayesh Kumar Poovullathil23Sajeeth Kumar Keeriyatt Govindan24Priyanka Raveendranadhan Nair25Shameer Vadekkandiyil26Vineeth Gladson27Midhun Mohan28Fairoz Cheriyalingal Parambath29Mohit Mangla30Mohit Mangla31Afra Shamnath32Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) ConsortiumSridhar Sivasubbu33Sridhar Sivasubbu34Vinod Scaria35Vinod Scaria36Government Medical College, Kozhikode, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaGovernment Medical College, Kozhikode, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaGovernment Medical College, Kozhikode, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCouncil of Scientific and Industrial Research (CSIR)-Institute of Genomics and Integrative Biology, New Delhi, IndiaAcademy of Scientific and Innovative Research, Ghaziabad, IndiaCoronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. The rapid increase in the COVID-19 cases in the state of Kerala in India has necessitated the understanding of SARS-CoV-2 genetic epidemiology. We sequenced 200 samples from patients in Kerala using COVIDSeq protocol amplicon-based sequencing. The analysis identified 166 high-quality single-nucleotide variants encompassing four novel variants and 89 new variants in the Indian isolated SARS-CoV-2. Phylogenetic and haplotype analysis revealed that the virus was dominated by three distinct introductions followed by local spread suggesting recent outbreaks and that it belongs to the A2a clade. Further analysis of the functional variants revealed that two variants in the S gene associated with increased infectivity and five variants mapped in primer binding sites affect the efficacy of RT-PCR. To the best of our knowledge, this is the first and most comprehensive report of SARS-CoV-2 genetic epidemiology from Kerala.https://www.frontiersin.org/articles/10.3389/fgene.2021.630542/fullCOVID-19COVIDSeqKeralagenetic epidemiologyvariants |