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Phylogenetic and whole genome analysis of first seven SARS-CoV-2 isolates in Bangladesh

ABSTRACT: Aim: Whole genome and peptide mutation analysis can specify effective vaccine and therapeutics against severe acute respiratory coronavirus-2 (SARS-CoV-2). Materials & methods: Whole genome similarity for Bangladeshi SARS-CoV-2 was determined using ClustalW and BLASTn. Phylogenetic analysis was conducted using neighbor-joining method. Results: 100% of isolates in Bangladesh were in the G clade. We found 99.98–100% sequence similarity among Bangladeshi isolates and isolates of England, Greece, USA, Saudi Arabia and India. Deletion of bases at 5? untranslated region and 3? untranslated region was detected. Substitution 261 (E?D) at NSP13 and 1109 (F?L) at spike (S) protein were detected. Substitution 377 (D?G) at nucleocapsid with common substitution 614 (D?G) at S were also detected. Conclusion: This study will provide baseline data for development of an effective vaccine or therapeutics against SARS-CoV-2. Graphical abstract

SUBMITTER: Sharif N

PROVIDER: S-EPMC7692877 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Project description:Background & objectivesSeveral 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.MethodsThe 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.ResultsTemporal 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 & conclusionsThis 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.

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Phylogenetic and whole genome analysis of first seven SARS-CoV-2 isolates in Bangladesh

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