Dear Editor,
The ongoing COVID-19 pandemic has resulted in over 25.0 million confirmed cases and over 840,000 deaths globally. As the third severe respiratory disease outbreak caused by the coronavirus, COVID-19 has led to much larger infected populations and coverage of geographic areas than SARS and MERS. Such high prevalence of infection has raised significant concerns about the emergence and spread of escape variants, which may evade human immunity and eventually render candidate vaccines and antibody-based therapeutics ineffective. Indeed, some naturally mutated SARS-CoV or MERS-CoV strains from the sequential outbreaks were reported to resist neutralization by the antibodies isolated during the first outbreak1,2. Furthermore, a number of natural mutations have already been identified in the spike protein of SARS-CoV-2. Among them, a variant with the D614G mutation has rapidly become the dominant pandemic form probably due to its fitness advantage3. Another spike mutation, the N501Y, was first identified in a mouse-adapted strain of SARS-CoV-24, and also occurred recently in natural human infections. Therefore, it is essential to continuously monitor the emergence of SARS-CoV-2 spike mutations and their potential roles in viral escape from existing neutralizing antibodies.
To analyze the SARS-CoV-2 mutations, we retrieved all the 101,131 full-length SARS-CoV-2 nucleotide sequences uploaded in the GISAID database (https://www.gisaid.org) up to September 15, 2020. We focused on the receptor-binding domain (RBD) of SARS-CoV-2 spike protein, due to the fact that RBD is the most dominant antigenic site for inducing SARS-CoV-2 neutralizing antibodies and contains the majority of neutralizing epitopes5. After filtering out ambiguous sequences, a total of 94,079 full-length SARS-CoV-2 RBD sequences were obtained and aligned with the Wuhan-Hu-1 strain (GenBank: MN_908947). A total of 216 mutational events have been observed in 169 RBD residues across 5188 sequences, accounting for 87.1% of all amino acids in RBD (169 out of 194 residues). Such mutation rate is comparable to that of SARS-CoV-2 S1 (88.7%, 597 out of 673 residues) and S2 (89.0%, 470 out of 528 residues) subunits (Fig. 1a). Although RBD has undergone intensive mutations, the mutant sequences compromise only a small percentage of the 94,079 available RBD sequences (Fig. 1b, Supplementary Table S1), suggesting that these RBD mutations have not been fixed in viral populations.
Fig. 1.
Binding and neutralizing sensitivity of the naturally occurring RBD variants to SARS-CoV-2 binding antibodies and convalescent serum. a Surface representations of natural amino acid substitutions in SARS-CoV-2 RBD colored by red. b Frequency of the originally reported genome (SARS-CoV-2 Wuhan-Hu-1) and RBD mutants in available RBD sequences at the time of writing (2020). High-frequencies amino acid mutation sites were identified: S477N/R/I/G/T (4.07%), N439K (0.19%), T4781/K/A/R (0.11%). c Binding capacity of antibodies against SARS-CoV-2 RBD, human plasma from five COVID-19 convalescent patients, and ACE2 to 41 SARS-CoV-2 RBD mutants, as measured by ELISA. Shades of colors in the boxes indicate retained binding activity of ACE2-competing antibodies (purple), ACE2 non-competing antibodies (blue), convalescent plasma (green), antibody cocktail (red), and ACE2 (orange). Dark color filled boxes indicate the binding ability >50%; light color filled boxes indicate binding ability ranging 50–20%; and white color filled boxes indicate escape to antibodies (binding ability <20%). d Escape mutations to antibodies were further confirmed by BLI. e Correlation between ACE2 competion values and relative escape of antibodies. ACE2 competion values were obtained from previous reports. f Position of binding resistance-conferring substitutions. Structure of the RBD (from PDB 6M17) with positions that are occupied by amino acids whose substitution confers partial or complete (binding ability<50%) escape to antibodies are indicated for ACE2-competing antibodies (purple) and ACE2 non-competing antibodies (blue). g Neutralization of luciferase-encoding pseudotyped virus with SARS-CoV-2 S proteins harboring the indicated naturally occurring mutations. Each pseudotyped viruses preincubated with serial dilutions of antibodies or convalescent plasma were used to infect Huh-7 cells, and inhibitory rates (%) of infection were calculated by luciferase activities in cell lysates. Error bars indicate mean±s.d. from three independent experiments
To evaluate the impact of RBD natural mutations on the binding efficacy of anti-SARS-CoV-2 antibodies, we expressed and purified 41 representative RBD variants, which included mutations of the three most frequently-mutated residues (S477, N439, T478), as well as all the variants emerged during the first 4 months of SARS-CoV-2 outbreak. All RBDs expressed well (Supplementary Fig. S1) and retained the capability to bind ACE2 (Supplementary Fig. S2–S4). Then, we measured the binding ability of the RBD mutants to a panel of 8 antibodies, developed by us and other groups that recognize a diverse set of epitopes on SARS-CoV-2 RBD6–9. According to the binding epitopes, these antibodies could be divided into two groups: those who recognize epitopes within the ACE2-RBD binding interface and could compete with ACE2 for RBD binding (ACE2-competing group), and those could not (ACE2 non-competing group). Surprisingly, we found that all of the ACE2-competing antibodies exhibited negligible binding to at least one of the mutant RBDs as measured by ELISA (Fig. 1c) and bio-layer interferometry (Fig. 1d). For instance, 414-1, a potent SARS-CoV-2 neutralizing antibody isolated from a COVID-19 recovered patient7, exhibited no binding to the RBD mutants L452R and N501Y, and evidently reduced binding to nine other RBD mutants. In contrast, the antibodies S3098 and n30636 that engage epitopes distinct from the receptor-binding motif showed exceptional breadth, with no escape mutants observed. The antibodies n31306 and CR30229 were reported to target cryptic epitopes located in the spike trimeric interface, and retained their binding affinities towards most of the RBD variants (Fig. 1c). Taken together, these results indicate that a single natural mutation on the SARS-CoV-2 RBD was able to completely abolish antibody binding. Besides, it seems that the natural RBD mutants had a higher tendency to escape the binding of ACE2-competing antibodies than non-competing antibodies (Fig. 1e and f), although further studies on more extensive panels of antibodies are required to confirm this finding.
Next, we evaluated the binding breadth of a combination of two antibodies recognizing distinct epitopes. Notably, the combination of ACE2-competing antibody 414-1 with non-competing antibody n3130 resulted in full coverage of SARS-CoV-2 RBD variants (Fig. 1c). The mixture exhibited strong binding to most of the RBD variants, and slightly reduced binding only to one double mutant (K448R/H519P). To confirm whether the reduction in RBD binding potency correlates with reduced SARS-CoV-2 neutralization, we also measured the neutralizing activity of the antibodies against SARS-CoV-2 pseudoviruses bearing RBD mutations. As expected, 414-1 and n3130 did not show effective neutralization against pseudoviruses with their corresponding escape mutations (N501Y and E516Q, respectively), while the mixture of the two antibodies broadly neutralized all the tested viruses (Fig. 1g). All the RBD variants pseudoviruses still possessed the infectivity of target cells (Supplementary Fig. S5). In addition, plasma from convalescent COVID-19 patients were also measured for their binding and neutralization activities. Similarly, all plasma samples had superior breadth in binding to naturally mutated RBDs and neutralizing multiple viral variants (Supplementary Figs. S6, S7). Considering that a number of neutralizing antibodies are being developed to treat COVID-19, our results suggest that some of these antibodies should be used in combinations to increase the neutralization breadth and reduce the possibility that an escape mutant is fixed in the treated host population. Nevertheless, the low frequencies of RBD mutants identified here revealed that they are more likely from randomized mutation, and may not represent the result of fitness selection.
Collectively, these results confirmed the capability of SARS-CoV-2 to escape from antibodies, especially the ACE2-competing antibodies, by acquiring resistance mutations in RBD. Such escape mutations can occur within the binding epitopes of antibodies, or regions away from antibody epitopes but may affect immunogenicity of RBD and render antibodies ineffective (Fig. 1f). Notably, the ACE2-competing antibodies constitute the majority of anti-RBD antibodies elicited by SARS-CoV-2 infection or vaccination. Therefore, our findings highlight the importance of continuously monitoring RBD natural mutations and evaluating their impact on antibody recognition of SARS-CoV-2, which may help guide the development and implementation of therapeutic antibodies and vaccines against SARS-CoV-2.
Supplementary information
Acknowledgements
This work was supported by grants from the National Key R&D Program of China (2019YFA0904400), National Natural Science Foundation of China (81822027, 81630090), National Megaprojects of China for Major Infectious Diseases (2018ZX10301403, 2018ZX10101003), and the staff from Core Facility of Microbiology and Parasitology, Shanghai Medical College, Fudan University.
Author contributions
T.Y. and Y.W. conceived, wrote the paper, and supervised the study. C.L., X.T., X.J., J.W., L.L., S.J., F.L., and Y.L. performed the experiments and analyzed the data. All authors reviewed and approved the final version of the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
These authors contributed equally: Cheng Li, Xiaolong Tian, Xiaodong Jia
Contributor Information
Yinying Lu, Email: luyinying1973@163.com.
Yanling Wu, Email: yanlingwu@fudan.edu.cn.
Tianlei Ying, Email: tlying@fudan.edu.cn.
Supplementary information
The online version contains supplementary material available at 10.1038/s41392-021-00536-0.
References
- 1.Sui J, et al. Effects of human anti-spike protein receptor binding domain antibodies on severe acute respiratory syndrome coronavirus neutralization escape and fitness. J. Virol. 2014;88:13769–13780. doi: 10.1128/JVI.02232-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kim YS, et al. Sequential emergence and wide spread of neutralization escape middle east respiratory syndrome coronavirus mutants, South Korea, 2015. Emerg. Infect. Dis. 2019;25:1161–1168. doi: 10.3201/eid2506.181722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Korber B, et al. Tracking changes in SARS-CoV-2 spike: evidence that D614G increases infectivity of the COVID-19 virus. Cell. 2020;182:812–827. doi: 10.1016/j.cell.2020.06.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gu H, et al. Adaptation of SARS-CoV-2 in BALB/c mice for testing vaccine efficacy. Science. 2020;369:1603–1607. doi: 10.1126/science.abc4730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Yu F, et al. Receptor-binding domain-specific human neutralizing monoclonal antibodies against SARS-CoV and SARS-CoV-2. Signal Transduct. Target Ther. 2020;5:212. doi: 10.1038/s41392-020-00318-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wu Y, et al. Identification of human single-domain antibodies against SARS-CoV-2. Cell host microbe. 2020;27:891–898. doi: 10.1016/j.chom.2020.04.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wan J, et al. Human-IgG-neutralizing monoclonal antibodies block the SARS-CoV-2 infection. Cell Rep. 2020;32:107918. doi: 10.1016/j.celrep.2020.107918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Pinto D, et al. Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature. 2020;583:290–295. doi: 10.1038/s41586-020-2349-y. [DOI] [PubMed] [Google Scholar]
- 9.Tian X, et al. Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody. Emerg. Microbes Infect. 2020;9:382–385. doi: 10.1080/22221751.2020.1729069. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.