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Unique protein features of SARS-CoV-2 relative to other Sarbecoviruses.
Cotten, Matthew; Robertson, David L; Phan, My V T.
Afiliación
  • Cotten M; MRC/UVRI & LSHTM Uganda Research Unit, Plot 51-59 Nakiwogo Road, P.O Box 49, Entebbe, Uganda.
  • Robertson DL; MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker Building, Garscube Campus, 464 Bearsden Road, Glasgow G61 1QH, UK.
  • Phan MVT; MRC/UVRI & LSHTM Uganda Research Unit, Plot 51-59 Nakiwogo Road, P.O Box 49, Entebbe, Uganda.
Virus Evol ; 7(2): veab067, 2021.
Article en En | MEDLINE | ID: mdl-34527286
ABSTRACT
Defining the unique properties of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) protein sequences has potential to explain the range of Coronavirus Disease 2019 severity. To achieve this we compared proteins encoded by all Sarbecoviruses using profile Hidden Markov Model similarities to identify protein features unique to SARS-CoV-2. Consistent with previous reports, a small set of bat- and pangolin-derived Sarbecoviruses show the greatest similarity to SARS-CoV-2 but are unlikely to be the direct source of SARS-CoV-2. Three proteins (nsp3, spike, and orf9) showed regions differing between the bat Sarbecoviruses and SARS-CoV-2 and indicate virus protein features that might have evolved to support human infection and/or transmission. Spike analysis identified all regions of the protein that have tolerated change and revealed that the current SARS-CoV-2 variants of concern have sampled only a fraction (∼31 per cent) of the possible spike domain changes which have occurred historically in Sarbecovirus evolution. This result emphasises the evolvability of these coronaviruses and the potential for further change in virus replication and transmission properties over the coming years.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Virus Evol Año: 2021 Tipo del documento: Article País de afiliación: Uganda

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Virus Evol Año: 2021 Tipo del documento: Article País de afiliación: Uganda
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