tetano
Editor, Senior Moderator
J Infect. 2020 Apr 10. pii: S0163-4453(20)30186-9. doi: 10.1016/j.jinf.2020.03.058. [Epub ahead of print]
Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy.
Benvenuto D[SUP]1[/SUP], Angeletti S[SUP]2[/SUP], Giovanetti M[SUP]3[/SUP], Bianchi M[SUP]4[/SUP], Pascarella S[SUP]4[/SUP], Cauda R[SUP]5[/SUP], Ciccozzi M[SUP]6[/SUP], Cassone A[SUP]7[/SUP].
Author information
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.
Copyright ? 2020 Elsevier Ltd. All rights reserved.
KEYWORDS:
Autophagy; Bio-informatic; COVID-19; Coronavirus; Molecular evolution; SARS-CoV-2
PMID:32283146DOI:10.1016/j.jinf.2020.03.058
Evolutionary analysis of SARS-CoV-2: how mutation of Non-Structural Protein 6 (NSP6) could affect viral autophagy.
Benvenuto D[SUP]1[/SUP], Angeletti S[SUP]2[/SUP], Giovanetti M[SUP]3[/SUP], Bianchi M[SUP]4[/SUP], Pascarella S[SUP]4[/SUP], Cauda R[SUP]5[/SUP], Ciccozzi M[SUP]6[/SUP], Cassone A[SUP]7[/SUP].
Author information
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.
Copyright ? 2020 Elsevier Ltd. All rights reserved.
KEYWORDS:
Autophagy; Bio-informatic; COVID-19; Coronavirus; Molecular evolution; SARS-CoV-2
PMID:32283146DOI:10.1016/j.jinf.2020.03.058