Cargando…

Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends

BACKGROUND & OBJECTIVES: Several phylogenetic classification systems have been devised to trace the viral lineages of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, inconsistency in the nomenclature limits uniformity in its epidemiological understanding. This study pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Potdar, Varsha, Vipat, Veena, Ramdasi, Ashwini, Jadhav, Santosh, Pawar-Patil, Jayashri, Walimbe, Atul, Patil, Sucheta S., Choudhury, Manohar L., Shastri, Jayanthi, Agrawal, Sachee, Pawar, Shailesh, Lole, Kavita, Abraham, Priya, Cherian, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184080/
https://www.ncbi.nlm.nih.gov/pubmed/33818474
http://dx.doi.org/10.4103/ijmr.IJMR_3418_20
_version_ 1783704516557799424
author Potdar, Varsha
Vipat, Veena
Ramdasi, Ashwini
Jadhav, Santosh
Pawar-Patil, Jayashri
Walimbe, Atul
Patil, Sucheta S.
Choudhury, Manohar L.
Shastri, Jayanthi
Agrawal, Sachee
Pawar, Shailesh
Lole, Kavita
Abraham, Priya
Cherian, Sarah
author_facet Potdar, Varsha
Vipat, Veena
Ramdasi, Ashwini
Jadhav, Santosh
Pawar-Patil, Jayashri
Walimbe, Atul
Patil, Sucheta S.
Choudhury, Manohar L.
Shastri, Jayanthi
Agrawal, Sachee
Pawar, Shailesh
Lole, Kavita
Abraham, Priya
Cherian, Sarah
author_sort Potdar, Varsha
collection PubMed
description BACKGROUND & OBJECTIVES: Several phylogenetic classification systems have been devised to trace the viral lineages of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, inconsistency in the nomenclature limits uniformity in its epidemiological understanding. This study provides an integration of existing classifications and describes evolutionary trends of the SARS-CoV-2 strains circulating in India. METHODS: The whole genomes of 330 SARS-CoV-2 samples were sequenced using next-generation sequencing (NGS). Phylogenetic and sequence analysis of a total of 3014 Indian SARS-CoV-2 sequences from 20 different States/Union Territories (January to September 2020) from the Global Initiative on Sharing All Influenza Data (GISAID) database was performed to observe the clustering of Nextstrain and Phylogenetic Assignment of Named Global Outbreak LINeages (Pangolin) lineages with the GISAID clades. The identification of mutational sites under selection pressure was performed using Mixed Effects Model of Evolution and Single-Likelihood Ancestor Counting methods available in the Datamonkey server. RESULTS: Temporal data of the Indian SARS-CoV-2 genomes revealed that except for Uttarakhand, West Bengal and Haryana that showed the circulation of GISAID clade O even after July 2020, the rest of the States showed a complete switch to GR/GH clades. Pangolin lineages B.1.1.8 and B.1.113 identified within GR and GH clades, respectively, were noted to be indigenous evolutions. Sites identified to be under positive selection pressure within these clades were found to occur majorly in the non-structural proteins coded by ORF1a and ORF1b. INTERPRETATION & CONCLUSIONS: This study interpreted the geographical and temporal dominance of SARS-CoV-2 strains in India over a period of nine months based on the GISAID classification. An integration of the GISAID, Nextstrain and Pangolin classifications is also provided. The emergence of new lineages B.1.1.8 and B.1.113 was indicative of host-specific evolution of the SARS-CoV-2 strains in India. The hotspot mutations such as those driven by positive selection need to be further characterized.
format Online
Article
Text
id pubmed-8184080
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Wolters Kluwer - Medknow
record_format MEDLINE/PubMed
spelling pubmed-81840802021-06-21 Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends Potdar, Varsha Vipat, Veena Ramdasi, Ashwini Jadhav, Santosh Pawar-Patil, Jayashri Walimbe, Atul Patil, Sucheta S. Choudhury, Manohar L. Shastri, Jayanthi Agrawal, Sachee Pawar, Shailesh Lole, Kavita Abraham, Priya Cherian, Sarah Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Several phylogenetic classification systems have been devised to trace the viral lineages of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, inconsistency in the nomenclature limits uniformity in its epidemiological understanding. This study provides an integration of existing classifications and describes evolutionary trends of the SARS-CoV-2 strains circulating in India. METHODS: The whole genomes of 330 SARS-CoV-2 samples were sequenced using next-generation sequencing (NGS). Phylogenetic and sequence analysis of a total of 3014 Indian SARS-CoV-2 sequences from 20 different States/Union Territories (January to September 2020) from the Global Initiative on Sharing All Influenza Data (GISAID) database was performed to observe the clustering of Nextstrain and Phylogenetic Assignment of Named Global Outbreak LINeages (Pangolin) lineages with the GISAID clades. The identification of mutational sites under selection pressure was performed using Mixed Effects Model of Evolution and Single-Likelihood Ancestor Counting methods available in the Datamonkey server. RESULTS: Temporal data of the Indian SARS-CoV-2 genomes revealed that except for Uttarakhand, West Bengal and Haryana that showed the circulation of GISAID clade O even after July 2020, the rest of the States showed a complete switch to GR/GH clades. Pangolin lineages B.1.1.8 and B.1.113 identified within GR and GH clades, respectively, were noted to be indigenous evolutions. Sites identified to be under positive selection pressure within these clades were found to occur majorly in the non-structural proteins coded by ORF1a and ORF1b. INTERPRETATION & CONCLUSIONS: This study interpreted the geographical and temporal dominance of SARS-CoV-2 strains in India over a period of nine months based on the GISAID classification. An integration of the GISAID, Nextstrain and Pangolin classifications is also provided. The emergence of new lineages B.1.1.8 and B.1.113 was indicative of host-specific evolution of the SARS-CoV-2 strains in India. The hotspot mutations such as those driven by positive selection need to be further characterized. Wolters Kluwer - Medknow 2021 /pmc/articles/PMC8184080/ /pubmed/33818474 http://dx.doi.org/10.4103/ijmr.IJMR_3418_20 Text en Copyright: © 2021 Indian Journal of Medical Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Potdar, Varsha
Vipat, Veena
Ramdasi, Ashwini
Jadhav, Santosh
Pawar-Patil, Jayashri
Walimbe, Atul
Patil, Sucheta S.
Choudhury, Manohar L.
Shastri, Jayanthi
Agrawal, Sachee
Pawar, Shailesh
Lole, Kavita
Abraham, Priya
Cherian, Sarah
Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title_full Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title_fullStr Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title_full_unstemmed Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title_short Phylogenetic classification of the whole-genome sequences of SARS-CoV-2 from India & evolutionary trends
title_sort phylogenetic classification of the whole-genome sequences of sars-cov-2 from india & evolutionary trends
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184080/
https://www.ncbi.nlm.nih.gov/pubmed/33818474
http://dx.doi.org/10.4103/ijmr.IJMR_3418_20
work_keys_str_mv AT potdarvarsha phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT vipatveena phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT ramdasiashwini phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT jadhavsantosh phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT pawarpatiljayashri phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT walimbeatul phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT patilsuchetas phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT choudhurymanoharl phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT shastrijayanthi phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT agrawalsachee phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT pawarshailesh phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT lolekavita phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT abrahampriya phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT cheriansarah phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends
AT phylogeneticclassificationofthewholegenomesequencesofsarscov2fromindiaevolutionarytrends