Comparative Analysis of ۱۹۸ SARS-CoV-۲ Genomes from Iran and West Asia, February ۲۰۲۰ to December ۲۰۲۱

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 63

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_IJP-18-3_006

تاریخ نمایه سازی: 14 شهریور 1402

Abstract:

Background & Objective: Coronavirus disease ۲۰۱۹ (COVID‐۱۹) is caused by severe acute respiratory syndrome coronavirus ۲ (SARS-CoV-۲), resulting in a worldwide pandemic. The first case of COVID‐۱۹ was reported from Wuhan in the Hubei Province of China in December ۲۰۱۹; however, the disease's origin is still mysterious. Whole-genome sequence analysis is essential for monitoring the spread of infectious diseases as well as studying the pathogenesis and evolution of viruses. In this study, analysis of ۱۹۸ fully sequenced genomes from Iran and West Asia was carried out to study mutations, phylogeny, amino acid changes, clades, and lineages of these genomes as well as comparison of these sequences with those of reference Wuhan genome of NC_۰۴۵۵۱۲.۲.Methods: In total, ۱۹۸ completely sequenced genome data from Iran and West Asia were collected from GenBank. Mutation detection was carried out using a trial version of CLC Genomics Workbench v.۲۱.۰ (QIAGEN, Germany). Online tools such as GISAID Mutations App and Pangolin were used for further analysis of the results.Results: In this study, several unique mutation sites were identified in the Iranian genomes (n = ۸); positions ۱۳۹۷ G>A and ۲۹۷۴۲ G>T were the most frequent changes in more than ۸۵% of the Iranian genomes. Mutation rate, mutation per sequence, and transition versus transversion for the Iranian genomes included ۴.۷۳, ۱۴.۱۴, and ۱.۶, respectively. Generally, C>T alteration was the most common substitution in all the sequences.Conclusion: The ORF۱ab, N, and S were the genes with the most changes. The current data can help researchers predict future epidemics and establish better strategies to control viral pandemics.

Authors

saman karami

Department of Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran

Marziyeh Mojbafan

Department of Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran

Ramin Mazaheri Nezhad Fard

Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Koyama T, Platt D, Parida L. Variant analysis of SARS-CoV-۲ ...
  • Singh A, Shaikh A, Singh R, Singh AK. COVID-۱۹: From ...
  • Wei X, Li X, Cui J. Evolutionary perspectives on novel ...
  • نمایش کامل مراجع