Genomic determinants of pathogenicity in SARS-CoV-2 and other human coronaviruses.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
09 Apr 2020
Historique:
entrez: 9 6 2020
pubmed: 9 6 2020
medline: 9 6 2020
Statut: epublish

Résumé

SARS-CoV-2 poses an immediate, major threat to public health across the globe. Here we report an in-depth molecular analysis to reconstruct the evolutionary origins of the enhanced pathogenicity of SARS-CoV-2 and other coronaviruses that are severe human pathogens. Using integrated comparative genomics and machine learning techniques, we identify key genomic features that differentiate SARS-CoV-2 and the viruses behind the two previous deadly coronavirus outbreaks, SARS-CoV and MERS-CoV, from less pathogenic coronaviruses. These features include enhancement of the nuclear localization signals in the nucleocapsid protein and distinct inserts in the spike glycoprotein that appear to be associated with high case fatality rate of these coronaviruses as well as the host switch from animals to humans. The identified features could be crucial elements of coronavirus pathogenicity and possible targets for diagnostics, prognostication and interventions.

Identifiants

pubmed: 32511301
doi: 10.1101/2020.04.05.026450
pmc: PMC7217234
pii:
doi:

Types de publication

Preprint

Langues

eng

Commentaires et corrections

Type : UpdateIn

Déclaration de conflit d'intérêts

Competing interests statement The authors declare no competing interests.

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Auteurs

Ayal B Gussow (AB)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Noam Auslander (N)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Guilhem Faure (G)

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Yuri I Wolf (YI)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Feng Zhang (F)

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Eugene V Koonin (EV)

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.

Classifications MeSH