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Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19

Initially submitted 784 SARS-nCoV2 whole genome sequences on NCBI Virus database were selected for phylogenetic analysis to look into their similarities with two of Pakistani sequenced coronavirus strains having accessions of MT240479 and MT262993. The MT240479 named (Gilgit1-Pak) was found in close...

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Autores principales: Saif, Rashid, Mahmood, Tania, Ejaz, Aniqa, Zia, Saeeda, Qureshi, Abdul Rasheed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046707/
https://www.ncbi.nlm.nih.gov/pubmed/33875973
http://dx.doi.org/10.1016/j.genrep.2021.101139
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author Saif, Rashid
Mahmood, Tania
Ejaz, Aniqa
Zia, Saeeda
Qureshi, Abdul Rasheed
author_facet Saif, Rashid
Mahmood, Tania
Ejaz, Aniqa
Zia, Saeeda
Qureshi, Abdul Rasheed
author_sort Saif, Rashid
collection PubMed
description Initially submitted 784 SARS-nCoV2 whole genome sequences on NCBI Virus database were selected for phylogenetic analysis to look into their similarities with two of Pakistani sequenced coronavirus strains having accessions of MT240479 and MT262993. The MT240479 named (Gilgit1-Pak) was found in close proximity to MT184913 named (CruiseA-USA), while MT262993 named (Manga-Pak) was in neighboring to MT039887 named (WI-USA) strain, which were further chosen for variant calling analysis along with reference genome NC_045512 as out-group to construct concluding cladogram and looked for evolutionary distance with PAUP software in this article. Aforementioned Pakistani strains each of having 29,836 bases were compared with MT263429 (WI-USA) of 29,889 bases and MT259229 (Wuhan-P.R. China) of 29,864 bases. Whole genome variant calling pipeline revealed 31 variants in both Pakistani strains collectively (Manga-Pak vs USA having 2del & 7SNPs, while different from Chinese strain with 2del & 2SNPs, similarly Gilgit1-Pak vs USA having 10SNPs, while different from Chinese strains having 8SNPs). These variants harbour ORF1ab, ORF1a and N genes having their role is viral replication/translation, host innate immunity and viral capsid formation respectively. These novel variants may be one of the reasons for low mortality rate in Pakistan with 385 deaths as compared to USA with 63,871 and P.R. China with 4633 by May 01, 2020. However functional characterization of these variants and their integrations with other viral proteins including variability of human receptors (ACE2 & NRP1) may be the other reasons for unlikely COVID-19 statistics in Pakistan which need further confirmatory studies. Moreover, mutated N and ORF1a proteins in Pakistani strains were also analyzed by 3D structure modeling, which give another dimension of comparing these alterations at amino acid level. In a nutshell, these novel variants are correlated with reduced mortality of COVID-19 severity in Pakistan while more robust results can be obtained by wet lab experimentation. This also gives insight of genomic landscape of these indigenous strains to develop diagnostics kits, vaccines and therapeutic interventions.
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spelling pubmed-80467072021-04-15 Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19 Saif, Rashid Mahmood, Tania Ejaz, Aniqa Zia, Saeeda Qureshi, Abdul Rasheed Gene Rep Article Initially submitted 784 SARS-nCoV2 whole genome sequences on NCBI Virus database were selected for phylogenetic analysis to look into their similarities with two of Pakistani sequenced coronavirus strains having accessions of MT240479 and MT262993. The MT240479 named (Gilgit1-Pak) was found in close proximity to MT184913 named (CruiseA-USA), while MT262993 named (Manga-Pak) was in neighboring to MT039887 named (WI-USA) strain, which were further chosen for variant calling analysis along with reference genome NC_045512 as out-group to construct concluding cladogram and looked for evolutionary distance with PAUP software in this article. Aforementioned Pakistani strains each of having 29,836 bases were compared with MT263429 (WI-USA) of 29,889 bases and MT259229 (Wuhan-P.R. China) of 29,864 bases. Whole genome variant calling pipeline revealed 31 variants in both Pakistani strains collectively (Manga-Pak vs USA having 2del & 7SNPs, while different from Chinese strain with 2del & 2SNPs, similarly Gilgit1-Pak vs USA having 10SNPs, while different from Chinese strains having 8SNPs). These variants harbour ORF1ab, ORF1a and N genes having their role is viral replication/translation, host innate immunity and viral capsid formation respectively. These novel variants may be one of the reasons for low mortality rate in Pakistan with 385 deaths as compared to USA with 63,871 and P.R. China with 4633 by May 01, 2020. However functional characterization of these variants and their integrations with other viral proteins including variability of human receptors (ACE2 & NRP1) may be the other reasons for unlikely COVID-19 statistics in Pakistan which need further confirmatory studies. Moreover, mutated N and ORF1a proteins in Pakistani strains were also analyzed by 3D structure modeling, which give another dimension of comparing these alterations at amino acid level. In a nutshell, these novel variants are correlated with reduced mortality of COVID-19 severity in Pakistan while more robust results can be obtained by wet lab experimentation. This also gives insight of genomic landscape of these indigenous strains to develop diagnostics kits, vaccines and therapeutic interventions. Elsevier Inc. 2021-06 2021-04-15 /pmc/articles/PMC8046707/ /pubmed/33875973 http://dx.doi.org/10.1016/j.genrep.2021.101139 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Saif, Rashid
Mahmood, Tania
Ejaz, Aniqa
Zia, Saeeda
Qureshi, Abdul Rasheed
Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title_full Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title_fullStr Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title_full_unstemmed Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title_short Whole genome comparison of Pakistani Corona virus with Chinese and US Strains along with its predictive severity of COVID-19
title_sort whole genome comparison of pakistani corona virus with chinese and us strains along with its predictive severity of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046707/
https://www.ncbi.nlm.nih.gov/pubmed/33875973
http://dx.doi.org/10.1016/j.genrep.2021.101139
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