Author | Benvenuto, Domenico | |
Author | Angeletti, Silvia | |
Author | Giovanetti, Marta | |
Author | Bianchi, Marina | |
Author | Pascarella, Stefano | |
Author | Cauda, Roberto | |
Author | Ciccozzi, Massimo | |
Author | Cassone, Antonio | |
Access date | 2020-04-14T19:13:38Z | |
Available date | 2020-04-14T19:13:38Z | |
Document date | 2020 | |
Citation | BENVENUTO, Domenico et al. Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy. Journal of Infection, p. 1-10, Mar. 2020. | pt_BR |
ISSN | 0163-4453 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/40756 | |
Description | Devido a pandemia mundial do COVID-19, o artigo da revista foi liberado em acesso aberto durante o ano de 2020, visando divulgação e disseminação. | |
Language | eng | pt_BR |
Publisher | Elsevier | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | SARS-CoV-2 | pt_BR |
Subject in Portuguese | Análise evolutiva | pt_BR |
Subject in Portuguese | Proteína não estrutural 6 | pt_BR |
Subject in Portuguese | Autofagia viral | pt_BR |
Subject in Portuguese | COVID-19 | pt_BR |
Subject in Portuguese | Coronavírus | pt_BR |
Title | Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy | pt_BR |
Type | Preprint | pt_BR |
DOI | 10.1016/j.jinf.2020.03.058 | pt_BR |
Abstract | Background: SARS-CoV-2 is a new coronavirus that has spread globally, infecting more than 150000 people, and being declared pandemic by the WHO. We provide here bio-informatic, evolutionary analysis of 351 available sequences of its genome with the aim of mapping genome structural variations and the patterns of selection. Methods: A Maximum likelihood tree has been built and selective pressure has been investigated in order to find any mutation developed during the SARS-CoV-2 epidemic that could potentially affect clinical evolution of the infection. Finding: We have found in more recent isolates the presence of two mutations affecting the Non-Structural Protein 6 (NSP6) and the Open Reding Frame10 (ORF 10) adjacent regions. Amino acidic change stability analysis suggests both mutations could confer lower stability of the protein structures. Interpretation
One of the two mutations, likely developed within the genome during virus spread, could affect virus intracellular survival. Genome follow-up of SARS-CoV-2 spread is urgently needed in order to identify mutations that could significantly modify virus pathogenicity. Funding: No specific funding source has been received. | pt_BR |
Affilliation | University Campus Bio-Medico of Rome. Unit of Medical Statistics and Molecular Epidemiology. Rome, Italy. | pt_BR |
Affilliation | University Campus Bio-Medico of Rome. Unit of Clinical Laboratory Science. Rome, Italy. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | University of Rome “La Sapienza”. "A. Rossi Fanelli". Department of Biochemical Sciences. Rome, Italy. | pt_BR |
Affilliation | University of Rome “La Sapienza”. "A. Rossi Fanelli". Department of Biochemical Sciences. Rome, Italy. | pt_BR |
Affilliation | UOC Malattie Infettive – Fondazione Policlinico Universitario “A.Gemelli” IRCCS. Rome, Italy / Catholic University of Sacred Heart. Department of Healthcare Surveillance and Bioethics. Rome Italy. | pt_BR |
Affilliation | University Campus Bio-Medico of Rome. Unit of Medical Statistics and Molecular Epidemiology. Rome, Italy. | pt_BR |
Affilliation | University of Siena. Center of genomics, genetics and biology. Siena, Italy. | pt_BR |
Subject | SARS-CoV-2 | pt_BR |
Subject | Evolutionary analysis | pt_BR |
Subject | Non-Structural Protein 6 | pt_BR |
Subject | Viral autophagy | pt_BR |
Subject | COVID-19 | pt_BR |
Subject | Coronavirus | pt_BR |