Comparative genomic signature representations of the emerging COVID-19 coronavirus and other coronaviruses: High identity and possible recombination between Bat and Pangolin coronaviruses.


Journal

Genomics
ISSN: 1089-8646
Titre abrégé: Genomics
Pays: United States
ID NLM: 8800135

Informations de publication

Date de publication:
11 2020
Historique:
received: 22 05 2020
revised: 22 06 2020
accepted: 02 07 2020
pubmed: 10 7 2020
medline: 1 1 2021
entrez: 10 7 2020
Statut: ppublish

Résumé

Coronaviruses are responsible on respiratory diseases in animal and human. The combination of numerical encoding techniques and digital signal processing methods are becoming increasingly important in handling large genomic data. In this paper, we propose to analyze the SARS-CoV-2 genomic signature using the combination of different nucleotide representations and signal processing tools in the aim to identify its genetic origin. The sequence of SARS-CoV-2 was compared with 21 relevant sequences including Bat, Yak and Pangolin coronavirus sequences. In addition, we developed a new algorithm to locate the nucleotide modifications. The results show that the Bat and Pangolin coronaviruses were the most related to SARS-CoV-2 with 96% and 86% of identity all along the genome. Within the S gene sequence, the Pangolin sequence presents local highest nucleotide identity. Those findings suggest genesis of SARS-Cov-2 through evolution from Bat and Pangolin strains. This study offers new ways to automatically characterize viruses.

Identifiants

pubmed: 32645523
pii: S0888-7543(20)30636-4
doi: 10.1016/j.ygeno.2020.07.003
pmc: PMC7336935
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4189-4202

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Rabeb Touati (R)

University of Tunis El Manar, LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis, Tunisia; University of Tunis El Manar, SITI Laboratory, National School of Engineers of Tunis, BP 37, le Belvédère, 1002 Tunis, Tunisie. Electronic address: rabeb.touati@enit.utm.tn.

Sondes Haddad-Boubaker (S)

University of Tunis El Manar, Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for EMRO region, Institut Pasteur de Tunis, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisie.

Imen Ferchichi (I)

University of Tunis El Manar, LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis, Tunisia.

Imen Messaoudi (I)

University of Carthage, Higher Institute of Information Technologies and Communications, Industrial Computing Department, Tunisia; University of Tunis El Manar, SITI Laboratory, National School of Engineers of Tunis, BP 37, le Belvédère, 1002 Tunis, Tunisie.

Afef Elloumi Ouesleti (AE)

University of Carthage, National School of Engineers of Carthage, Electrical Engineering Department, Tunisia; University of Tunis El Manar, SITI Laboratory, National School of Engineers of Tunis, BP 37, le Belvédère, 1002 Tunis, Tunisie.

Henda Triki (H)

University of Tunis El Manar, Laboratory of Clinical Virology, WHO Regional Reference Laboratory for Poliomyelitis and Measles for EMRO region, Institut Pasteur de Tunis, 13 place Pasteur, BP74 1002 le Belvédère, Tunis, Tunisie.

Zied Lachiri (Z)

University of Tunis El Manar, SITI Laboratory, National School of Engineers of Tunis, BP 37, le Belvédère, 1002 Tunis, Tunisie.

Maher Kharrat (M)

University of Tunis El Manar, LR99ES10 Human Genetics Laboratory, Faculty of Medicine of Tunis, Tunisia.

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Classifications MeSH