Mapping SARS-CoV-2 antigenic relationships and serological responses

Author:

Wilks Samuel H.,Mühlemann Barbara,Shen Xiaoying,Türeli Sina,LeGresley Eric B.,Netzl Antonia,Caniza Miguela A.,Chacaltana-Huarcaya Jesus N.,Corman Victor M.ORCID,Daniell Xiaoju,Datto Michael B.,Dawood Fatimah S.,Denny Thomas N.,Drosten Christian,Fouchier Ron A. M.,Garcia Patricia J.,Halfmann Peter J.,Jassem Agatha,Jeworowski Lara M.,Jones Terry C.,Kawaoka Yoshihiro,Krammer Florian,McDanal Charlene,Pajon Rolando,Simon Viviana,Stockwell Melissa S.,Tang Haili,van Bakel HarmORCID,Veguilla Vic,Webby Richard,Montefiori David C.,Smith Derek J.ORCID

Abstract

AbstractDuring the SARS-CoV-2 pandemic, multiple variants with differing amounts of escape from pre-existing immunity have emerged, causing concerns about continued protection. Here, we use antigenic cartography to quantify and visualize the antigenic relationships among 16 SARS-CoV-2 variants titrated against serum samples taken post-vaccination and post-infection with seven different variants. We find major antigenic differences caused by substitutions at spike positions 417, 452, 484, and possibly 501. B.1.1.529 (Omicron BA.1) showed the highest escape from all sera tested. Visualization of serological responses as antibody landscapes shows how reactivity clusters in different regions of antigenic space. We find changes in immunodominance of different spike regions depending on the variant an individual was exposed to, with implications for variant risk assessment and vaccine strain selection.One sentence summaryAntigenic Cartography of SARS-CoV-2 variants reveals amino acid substitutions governing immune escape and immunodominance patterns.

Publisher

Cold Spring Harbor Laboratory

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