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.
Original language | English |
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Pages (from-to) | e24-e27 |
Journal | Journal of Infection |
Volume | 81 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jul 2020 |
Keywords
- Autophagy
- Bio-informatic
- Coronavirus
- COVID-19
- Molecular evolution
- SARS-CoV-2
ASJC Scopus subject areas
- Microbiology (medical)
- Infectious Diseases