Full-spike deep mutational scanning helps predict the evolutionary success of SARS-CoV-2 clades.


Journal

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

Informations de publication

Date de publication:
14 Nov 2023
Historique:
pubmed: 28 11 2023
medline: 28 11 2023
entrez: 28 11 2023
Statut: epublish

Résumé

SARS-CoV-2 variants acquire mutations in spike that promote immune evasion and impact other properties that contribute to viral fitness such as ACE2 receptor binding and cell entry. Knowledge of how mutations affect these spike phenotypes can provide insight into the current and potential future evolution of the virus. Here we use pseudovirus deep mutational scanning to measure how >9,000 mutations across the full XBB.1.5 and BA.2 spikes affect ACE2 binding, cell entry, or escape from human sera. We find that mutations outside the receptor-binding domain (RBD) have meaningfully impacted ACE2 binding during SARS-CoV-2 evolution. We also measure how mutations to the XBB.1.5 spike affect neutralization by serum from individuals who recently had SARS-CoV-2 infections. The strongest serum escape mutations are in the RBD at sites 357, 420, 440, 456, and 473-however, the antigenic impacts of these mutations vary across individuals. We also identify strong escape mutations outside the RBD; however many of them decrease ACE2 binding, suggesting they act by modulating RBD conformation. Notably, the growth rates of human SARS-CoV-2 clades can be explained in substantial part by the measured effects of mutations on spike phenotypes, suggesting our data could enable better prediction of viral evolution.

Identifiants

pubmed: 38014024
doi: 10.1101/2023.11.13.566961
pmc: PMC10680755
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : DP1 AI158186
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA015704
Pays : United States
Organisme : NIH HHS
ID : S10 OD028685
Pays : United States
Organisme : NIAID NIH HHS
ID : P01 AI167966
Pays : United States
Organisme : NIAID NIH HHS
ID : 75N93021C00015
Pays : United States
Organisme : NIH HHS
ID : S10 OD020069
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI141707
Pays : United States
Organisme : NIAID NIH HHS
ID : 75N93022C00036
Pays : United States

Déclaration de conflit d'intérêts

Competing interests J.D.B., and B.D. are inventors on Fred Hutch licensed patents related to the pseudovirus deep mutational scanning system used in this paper. J.D.B. consults for Apriori Bio, Invivyd, Aerium Therapeutics, and the Vaccine Company on topics related to viral evolution. HYC reports consulting with Ellume, Pfizer, and the Bill and Melinda Gates Foundation. She has served on advisory boards for Vir, Merck and Abbvie. She has conducted CME teaching with Medscape, Vindico, and Clinical Care Options. She has received research funding from Gates Ventures, and support and reagents from Ellume and Cepheid, all outside of the submitted work. D.V. is named as inventor on patents for coronavirus vaccines filed by the University of Washington

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Auteurs

Bernadeta Dadonaite (B)

Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.

Jack Brown (J)

Department of Biochemistry, University of Washington, Seattle, Washington, USA.

Teagan E McMahon (TE)

Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.

Ariana G Farrell (AG)

Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.

Daniel Asarnow (D)

Department of Biochemistry, University of Washington, Seattle, Washington, USA.

Cameron Stewart (C)

Department of Biochemistry, University of Washington, Seattle, Washington, USA.

Jenni Logue (J)

University of Washington, Department of Medicine, Division of Allergy and Infectious Diseases, Seattle, WA.

Ben Murrell (B)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Helen Y Chu (HY)

University of Washington, Department of Medicine, Division of Allergy and Infectious Diseases, Seattle, WA.

David Veesler (D)

Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Howard Hughes Medical Institute, Seattle, WA, 98195, USA.

Jesse D Bloom (JD)

Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, 98109, USA.
Howard Hughes Medical Institute, Seattle, WA, 98195, USA.

Classifications MeSH