Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Mutational insights among the structural proteins of SARS-CoV-2: frequencies and evolutionary trends in American countries

Mohammad Abavisani, Karim Rahimian, Reza Khayami, Mahsa Mollapour Sisakht, View ORCID ProfileMohammadamin Mahmanzar, View ORCID ProfileZahra Meshkat
doi: https://doi.org/10.1101/2022.06.22.497134
Mohammad Abavisani
1mashhad universiy of medical sciences;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Karim Rahimian
2Bioinformatics and Computational Omics Lab (BioCOOL), Department of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Reza Khayami
3Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mahsa Mollapour Sisakht
4ErasmusMC;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mohammadamin Mahmanzar
5Department of Bioinformatics, Kish International Campus University of Tehran, Kish, Iran;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mohammadamin Mahmanzar
Zahra Meshkat
6Antimicrobial Resistance Research Center & Department of Medical Bacteriology and Virology, Bu-Ali Research Institute & Ghaem University Hospital, Faculty of Medicine, Mashhad University of Medical
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Zahra Meshkat
  • For correspondence: meshkatz@mums.ac.ir
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a role in the mortality of more than 6 million people worldwide. This virus owns the genome, which contains four structural proteins, including spike (S), envelope (E), membrane (M), and nucleocapsid (N). The occurrence of structural mutations can induce the emergence of new variants. Depending on the mutations, the variants may display different patterns of infectivity, mortality, and sensitivity toward drugs and vaccines. In this study, we analyzed samples of amino-acid sequences (AASs) for structural proteins from the coronavirus 2019 (COVID-19) declaration as a pandemic to April 2022 among American countries. The analysis process included considering mutations' frequencies, locations, and evolutionary trends utilizing sequence alignment to the reference sequence. In the following, the results were compared with the same analyses among the samples of the entire world. Results displayed that despite samples of North America and international countries that own the region of 508 to 635 with the highest mutation frequency among S AASs, the region with the same characteristic was concluded as 1 to 127 in South America. Besides, the most frequent mutations in S, E, M, and N proteins from North America and worldwide samples were concluded as D614G, T9I, I82T, and R203M. In comparison, R203K was the first frequent mutation in N samples in South America. Widely comparing mutations between North America and South America and between the Americas and the world can help scientists introduce better drug and vaccine development strategies.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted June 22, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Mutational insights among the structural proteins of SARS-CoV-2: frequencies and evolutionary trends in American countries
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Mutational insights among the structural proteins of SARS-CoV-2: frequencies and evolutionary trends in American countries
Mohammad Abavisani, Karim Rahimian, Reza Khayami, Mahsa Mollapour Sisakht, Mohammadamin Mahmanzar, Zahra Meshkat
bioRxiv 2022.06.22.497134; doi: https://doi.org/10.1101/2022.06.22.497134
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Mutational insights among the structural proteins of SARS-CoV-2: frequencies and evolutionary trends in American countries
Mohammad Abavisani, Karim Rahimian, Reza Khayami, Mahsa Mollapour Sisakht, Mohammadamin Mahmanzar, Zahra Meshkat
bioRxiv 2022.06.22.497134; doi: https://doi.org/10.1101/2022.06.22.497134

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3597)
  • Biochemistry (7563)
  • Bioengineering (5517)
  • Bioinformatics (20777)
  • Biophysics (10316)
  • Cancer Biology (7973)
  • Cell Biology (11629)
  • Clinical Trials (138)
  • Developmental Biology (6602)
  • Ecology (10197)
  • Epidemiology (2065)
  • Evolutionary Biology (13605)
  • Genetics (9537)
  • Genomics (12842)
  • Immunology (7919)
  • Microbiology (19536)
  • Molecular Biology (7653)
  • Neuroscience (42050)
  • Paleontology (307)
  • Pathology (1257)
  • Pharmacology and Toxicology (2199)
  • Physiology (3266)
  • Plant Biology (7036)
  • Scientific Communication and Education (1294)
  • Synthetic Biology (1951)
  • Systems Biology (5426)
  • Zoology (1115)