Bioinformatic analysis indicates that SARS-CoV-2 is unrelated to known artificial coronaviruses
T. Dallavilla, M. Bertelli, A. Morresi, V. Bushati, L. Stuppia, T. Beccari, P. Chiurazzi, G. Marceddu MAGI’s Lab, San Felice del Benaco (Brescia), Italy. pietro.chiurazzi@unicatt.it
OBJECTIVE: SARS-CoV-2 is responsible for the present coronavirus pandemic and some suggestions were made about its possible artificial origin. We, therefore, compared SARS-CoV-2 with such known viruses that were prepared in the laboratory and other relevant natural strains to estimate their genetic relatedness.
MATERIALS AND METHODS: BLAST and clustalW were used to identify and align viral sequences of SARS-CoV-2 to other animal coronaviruses (human, bat, mouse, pangolin) and related artificial constructs. Phylogenetics trees were then prepared using iTOL.
RESULTS: Our study supports the notion that known artificial coronaviruses, including the chimeric SL-SHC014-MA15 synthesized in 2015, differ too much from SARS-CoV-2 to hypothesize an artificial origin of the latter. On the contrary, our data support the natural origin of the COVID-19 virus, likely derived from bats, possibly transferred to pangolins, before spreading to man.
CONCLUSIONS: Speculations about the artificial origin of SARS-CoV-2 are most likely unfounded. On the contrary, when carefully handled, engineered organisms provide a unique opportunity to study biological systems in a controlled fashion. Biotechnology is a powerful tool to advance medical research and should not be abandoned because of irrational fears.
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To cite this article
T. Dallavilla, M. Bertelli, A. Morresi, V. Bushati, L. Stuppia, T. Beccari, P. Chiurazzi, G. Marceddu
Bioinformatic analysis indicates that SARS-CoV-2 is unrelated to known artificial coronaviruses
Eur Rev Med Pharmacol Sci
Year: 2020
Vol. 24 - N. 8
Pages: 4558-4564
DOI: 10.26355/eurrev_202004_21041