Bioinformatic analysis indicates that SARS-CoV-2 is unrelated to known artificial coronaviruses

Eur Rev Med Pharmacol Sci. 2020 Apr;24(8):4558-4564. doi: 10.26355/eurrev_202004_21041.

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.

MeSH terms

  • Animals
  • Betacoronavirus / classification*
  • COVID-19
  • Chiroptera / virology
  • Computational Biology*
  • Coronavirus Infections
  • Humans
  • Mice
  • Organisms, Genetically Modified
  • Pandemics
  • Phylogeny*
  • Pneumonia, Viral
  • RNA, Viral / analysis
  • SARS-CoV-2
  • Sequence Analysis, RNA
  • Whole Genome Sequencing*

Substances

  • RNA, Viral