Abstract
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome sequencing of viruses sampled in Manaus between November 2020 and January 2021 revealed the emergence and circulation of a novel SARS-CoV-2 variant of concern. Lineage P.1 acquired 17 mutations, including a trio in the spike protein (K417T, E484K, and N501Y) associated with increased binding to the human ACE2 (angiotensin-converting enzyme 2) receptor. Molecular clock analysis shows that P.1 emergence occurred around mid-November 2020 and was preceded by a period of faster molecular evolution. Using a two-category dynamical model that integrates genomic and mortality data, we estimate that P.1 may be 1.7- to 2.4-fold more transmissible and that previous (non-P.1) infection provides 54 to 79% of the protection against infection with P.1 that it provides against non-P.1 lineages. Enhanced global genomic surveillance of variants of concern, which may exhibit increased transmissibility and/or immune evasion, is critical to accelerate pandemic responsiveness.
| Original language | English |
|---|---|
| Article number | 6544 |
| Journal | Science |
| Volume | 372 |
| Issue number | 6544 |
| DOIs | |
| State | Published - May 21 2021 |
Bibliographical note
Publisher Copyright:Copyright © 2021 The Authors, some rights reserved.
Funding
This work was supported by a Medical Research Council-São Paulo Research Foundation (FAPESP) CADDE partnership award (MR/S0195/1 and FAPESP 18/14389-0) (https://caddecentre.org); FAPESP (E.C.S.: 18/ 14389-0; I.M.C: 2018/17176-8 and 2019/12000-1, F.C.S.S.: 2018/ 25468-9; J.G.d.J.: 2018/17176-8, 2019/12000-1, 18/14389-0; T.M.C.: 2019/07544-2; C.A.M.S.: 2019/21301-5; W.M.S.: 2017/ 13981-0, 2019/24251-9; L.M.d.S.: 2020/04272-9; M.C.d.P.: 2019/ 21568-1; V.H.N.: 2018/12579-7; C.A.P.: 2019/21858-0; and P.S.P.: 16/18445-7; J.L.P.-M.: 2020/04558-0); Wellcome Trust and Royal Society (N.R.F.: Sir Henry Dale Fellowship: 204311/Z/16/Z); Wellcome Trust (Wellcome Centre for Human Genetics: 203141/Z/ 16/Z); Clarendon Fund and Department of Zoology, University of Oxford (D.d.S.C.); Medical Research Council (T.A.B and R.J.G.H: MR/S007555/1); European Molecular Biology Organisation (R.J.G.H.: ALTF 869-2019); CNPq (R.S.A.: 312688/2017-2, 439119/ 2018-9; W.M.S.: 408338/2018-0, 304714/2018-6; V.H.N.: 304714/ 2018-6); FAPERJ (R.S.A.: 202.922/2018); FFMUSP (M.S.R.: 206.706; C.A.P.); Imperial College COVID-19 Research Fund (H.M.S. and S.F.); CAPES (G.M.F. and C.A.P., Code 001); Wellcome Trust Collaborator Award (P.L., A.R., and N.J.L.: 206298/Z/17/Z); European Research Council (P.L and A.R.: 725422-ReservoirDOCS); European Union's Horizon 2020 project MOOD (P.L. and M.U.G.K.: 874850); U.S. National Institutes of Health (M.A.S.: U19 AI135995); Oxford Martin School (O.G.P.); Branco Weiss Fellowship (M.U.G.K); Covid-19 Research Fund (S.F.); EPSRC (S.F.: EP/V002910/1; M.M. through the EPSRC Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning); BMGF (S.B.); UKRI (S.B.); Novo Nordisk Foundation (S.B.); Academy of Medical Sciences (S.B.); BRC (S.B.); MRC (S.B.); and Bill & Melinda Gates Foundation (O.R.: OPP1175094). We acknowledge support from the Rede Corona-ômica BR MCTI/ FINEP affiliated to RedeVírus/MCTI (FINEP 01.20.0029.000462/ 20, CNPq 404096/2020-4), FAPESP project 2018/12579-7 CNPq project 304714/2018-6 (V.H.N.), EPSRC Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial and Oxford (M.M.), and the Bill & Melinda Gates Foundation (OPP1175094) (O.R.). This work received funding from the UK Medical Research Council under a concordat with the UK Department for International Development. We additionally acknowledge support from Community Jameel and the NIHR Health Protection Research Unit in Modelling Methodology. Last, we also gratefully acknowledge support from Oxford Nanopore Technologies for a donation of sequencing reagents and NVIDIA Corporation and Advanced Micro Devices for a donation of parallel computing resources.
| Funders | Funder number |
|---|---|
| NIHR Imperial Biomedical Research Centre | |
| Oxford Martin School, University of Oxford | |
| Branco Weiss Fellowship | |
| National Institute for Health and Care Research | |
| National Institutes of Health (NIH) | |
| Medical Research Council-São Paulo Research Foundation | |
| European Commission | |
| Department of Zoology, University of Oxford | |
| Imperial College COVID-19 Research Fund | |
| Department for International Development, UK Government | |
| Oxford Nanopore Technologies | |
| Rede Corona-ômica BR MCTI | |
| Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences | |
| H2020 European Research Council | |
| Novo Nordisk Fonden | |
| Nvidia | |
| Clarendon Fund | |
| UK Industrial Decarbonization Research and Innovation Centre | |
| UK Medical Research Council, Engineering and Physical Sciences Research Council | MR/V038109/1, MR/S007555/1, MR/S019510/1, EP/V002910/1 |
| Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro | 202.922/2018 |
| FFMUSP | 206.706 |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico | 408338/2018-0, 439119/ 2018-9, 312688/2017-2, 304714/2018-6 |
| Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | 206298/Z/17/Z |
| Horizon 2020 Framework Programme | 874850, 725422 |
| Wellcome Trust | 203141, 206298 |
| National Institute of Allergy and Infectious F32-AI286447 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R01AI168214 Jason W. Rosch Diseases National Institute of Allergy and Infectious P30 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R00-AI166116 Christopher D. Radka Diseases National Institute of Allergy and Infectious T32-AI106700 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R01AI192221 Jason W. Rosch Diseases National Inst... | U19AI135995 |
| European Molecular Biology Organization | ALTF 869-2019 |
| Fundação de Amparo à Pesquisa do Estado de São Paulo | 2018/17176-8, 2017/ 13981-0, 2019/21301-5, 16/18445-7, 2020/04558-0, 2019/24251-9, 2018/12579-7, 2019/21858-0, 2019/ 21568-1, 2019/07544-2, 2018/ 25468-9, 18/14389-0, 2020/04272-9, MR/S0195/1, 2019/12000-1 |
| Ministério da Ciência, Tecnologia e Inovação | 404096/2020-4 |
| Bill and Melinda Gates Foundation | OPP1175094 |
| Royal Society of Medicine | 204311/Z/16/Z, 203141/Z/ 16/Z |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- General
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