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NeoCoV Is Closer to MERS-CoV than SARS-CoV

Recently, Coronavirus has been given considerable attention from the biomedical community based on the emergence and isolation of a deadly coronavirus infecting human. To understand the behavior of the newly emerging MERS-CoV requires knowledge at different levels (epidemiologic, antigenic, and path...

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Autores principales: Hassan, Mohamed M, Hussain, Mohamed A, Kambal, Sumaya, Elshikh, Ahmed A, Gendeel, Osama R, Ahmed, Siddig A, Altayeb, Rami A, Muhajir, Abdelhafiz MA, Mohamed, Sofia B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298434/
https://www.ncbi.nlm.nih.gov/pubmed/32595278
http://dx.doi.org/10.1177/1178633720930711
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author Hassan, Mohamed M
Hussain, Mohamed A
Kambal, Sumaya
Elshikh, Ahmed A
Gendeel, Osama R
Ahmed, Siddig A
Altayeb, Rami A
Muhajir, Abdelhafiz MA
Mohamed, Sofia B
author_facet Hassan, Mohamed M
Hussain, Mohamed A
Kambal, Sumaya
Elshikh, Ahmed A
Gendeel, Osama R
Ahmed, Siddig A
Altayeb, Rami A
Muhajir, Abdelhafiz MA
Mohamed, Sofia B
author_sort Hassan, Mohamed M
collection PubMed
description Recently, Coronavirus has been given considerable attention from the biomedical community based on the emergence and isolation of a deadly coronavirus infecting human. To understand the behavior of the newly emerging MERS-CoV requires knowledge at different levels (epidemiologic, antigenic, and pathogenic), and this knowledge can be generated from the most related viruses. In this study, we aimed to compare between 3 species of Coronavirus, namely Middle East Respiratory Syndrome (MERS-CoV), Severe Acute Respiratory Syndrome (SARS-CoV), and NeoCoV regarding whole genomes and 6 similar proteins (E, M, N, S, ORF1a, and ORF1ab) using different bioinformatics tools to provide a better understanding of the relationship between the 3 viruses at the nucleotide and amino acids levels. All sequences have been retrieved from National Center for Biotechnology Information (NCBI). Regards to target genomes’ phylogenetic analysis showed that MERS and SARS-CoVs were closer to each other compared with NeoCoV, and the last has the longest relative time. We found that all phylogenetic methods in addition to all parameters (physical and chemical properties of amino acids such as the number of amino acid, molecular weight, atomic composition, theoretical pI, and structural formula) indicated that NeoCoV proteins were the most related to MERS-CoV one. All phylogenetic trees (by both maximum-likelihood and neighbor-joining methods) indicated that NeoCoV proteins have less evolutionary changes except for ORF1a by just maximum-likelihood method. Our results indicated high similarity between viral structural proteins which are responsible for viral infectivity; therefore, we expect that NeoCoV sooner may appear in human-related infection.
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spelling pubmed-72984342020-06-25 NeoCoV Is Closer to MERS-CoV than SARS-CoV Hassan, Mohamed M Hussain, Mohamed A Kambal, Sumaya Elshikh, Ahmed A Gendeel, Osama R Ahmed, Siddig A Altayeb, Rami A Muhajir, Abdelhafiz MA Mohamed, Sofia B Infect Dis (Auckl) Original Research Recently, Coronavirus has been given considerable attention from the biomedical community based on the emergence and isolation of a deadly coronavirus infecting human. To understand the behavior of the newly emerging MERS-CoV requires knowledge at different levels (epidemiologic, antigenic, and pathogenic), and this knowledge can be generated from the most related viruses. In this study, we aimed to compare between 3 species of Coronavirus, namely Middle East Respiratory Syndrome (MERS-CoV), Severe Acute Respiratory Syndrome (SARS-CoV), and NeoCoV regarding whole genomes and 6 similar proteins (E, M, N, S, ORF1a, and ORF1ab) using different bioinformatics tools to provide a better understanding of the relationship between the 3 viruses at the nucleotide and amino acids levels. All sequences have been retrieved from National Center for Biotechnology Information (NCBI). Regards to target genomes’ phylogenetic analysis showed that MERS and SARS-CoVs were closer to each other compared with NeoCoV, and the last has the longest relative time. We found that all phylogenetic methods in addition to all parameters (physical and chemical properties of amino acids such as the number of amino acid, molecular weight, atomic composition, theoretical pI, and structural formula) indicated that NeoCoV proteins were the most related to MERS-CoV one. All phylogenetic trees (by both maximum-likelihood and neighbor-joining methods) indicated that NeoCoV proteins have less evolutionary changes except for ORF1a by just maximum-likelihood method. Our results indicated high similarity between viral structural proteins which are responsible for viral infectivity; therefore, we expect that NeoCoV sooner may appear in human-related infection. SAGE Publications 2020-06-16 /pmc/articles/PMC7298434/ /pubmed/32595278 http://dx.doi.org/10.1177/1178633720930711 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Hassan, Mohamed M
Hussain, Mohamed A
Kambal, Sumaya
Elshikh, Ahmed A
Gendeel, Osama R
Ahmed, Siddig A
Altayeb, Rami A
Muhajir, Abdelhafiz MA
Mohamed, Sofia B
NeoCoV Is Closer to MERS-CoV than SARS-CoV
title NeoCoV Is Closer to MERS-CoV than SARS-CoV
title_full NeoCoV Is Closer to MERS-CoV than SARS-CoV
title_fullStr NeoCoV Is Closer to MERS-CoV than SARS-CoV
title_full_unstemmed NeoCoV Is Closer to MERS-CoV than SARS-CoV
title_short NeoCoV Is Closer to MERS-CoV than SARS-CoV
title_sort neocov is closer to mers-cov than sars-cov
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298434/
https://www.ncbi.nlm.nih.gov/pubmed/32595278
http://dx.doi.org/10.1177/1178633720930711
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