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Bioinformatic analysis indicates that SARS-CoV-2 is unrelated to known artificial coronaviruses.
Dallavilla, T; Bertelli, M; Morresi, A; Bushati, V; Stuppia, L; Beccari, T; Chiurazzi, P; Marceddu, G.
  • Dallavilla T; MAGI's Lab, San Felice del Benaco (Brescia), Italy. pietro.chiurazzi@unicatt.it.
Eur Rev Med Pharmacol Sci ; 24(8): 4558-4564, 2020 04.
Article in English | MEDLINE | ID: covidwho-206437
ABSTRACT

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Phylogeny / Computational Biology / Betacoronavirus / Whole Genome Sequencing Type of study: Experimental Studies / Randomized controlled trials Limits: Animals / Humans Language: English Journal: Eur Rev Med Pharmacol Sci Journal subject: Pharmacology / Toxicology Year: 2020 Document Type: Article Affiliation country: Eurrev_202004_21041

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Phylogeny / Computational Biology / Betacoronavirus / Whole Genome Sequencing Type of study: Experimental Studies / Randomized controlled trials Limits: Animals / Humans Language: English Journal: Eur Rev Med Pharmacol Sci Journal subject: Pharmacology / Toxicology Year: 2020 Document Type: Article Affiliation country: Eurrev_202004_21041