Abstract
While studying the human public IgM igome as represented by a library of 224,087 linear mimotopes, three exact matches to peptides in the proteins of SARS-CoV-2 were found: two in the open reading frame 1ab and one in the spike protein. Joining the efforts to fast track SARS-CoV-2 vaccine development, here we describe briefly these potential epitopes in comparison to mimotopes representing peptides of SARS-CoV, HCoV 229E and OC43.
Introduction
The COVID19 pandemic has put to test the capacity of vaccinology to produce as fast as possible relevant vaccines. A number of recent reports predict possible SARS-CoV-2 epitopes for vaccine development but there are no reports on experimentally defined B cell epitopes (–). The closest to identification of actual epitopes is the finding of pentapeptide sequences from the viral proteome in other known epitopes form IEDB (). A library of 224,087 mimotopes corresponding to the human public IgM repertoire as represented in a plasma pool from 10,000 healthy donors was recently designed (). The mimotopes were selected from a commercial 7 amino acid random peptide phage display library (Ph.D. 7, New England Biolabs). Conceptually, this mimotope library reflects at a certain level of detail, the repertoire of IgM specificities in the plasma focusing on the recurring ones. The latter can be just natural antibodies or they may represent the product of fast extrafollicularly expanding IgM clones that may serve as precursors of highly specific, somatically mutated, class-switched B cells. The preimmune repertoire has to be quasi-complete to provide for rapid expansion of clones reactive with any newly encountered antigen. The same may not be true for our library although, due to the polyspecific binding, most of the available public repertoire may be partially represented in it (). Here we report that the IgM mimotope library contains heptapeptides identical to peptides in the proteome of SARS-CoV-2. One of them may serve as a potentially neutralizing epitope on the spike protein.
Methods
The design and the properties of the mimotope database has been published elsewhere (). The available sequences of the genomes of SARS-CoV (NC_004718.3), SARS-CoV-2 (ASM985889v3), HCoV229E (NC_002645.1), and HCoVOC43 (AY391777.1) were split into consecutive overlapping heptamers shifted by one residue and the resultant sequence sets were compared to the sequences in the database of natural mimotopes. Only exact matches were considered.
The homologous sequences in the non-redundant databases of the human proteome and Viridae (taxid:10239) were blast searched using the NCBI blastp suite (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins).
As part of an ongoing analysis, the natural mimotope database was represented as a graph by connecting the sequences having at least 5 exact matches (i.e., of maximal Hamming distance 2). The graph had one giant component containing approximately 90% of the sequences which was further considered as the graph of interest. For the present study, the degrees of the vertices representing the natural SARS-CoV-2 epitopes, all of which belonged to the giant component, were used as the number of adjacent mimotopes parameter. For a set of words of length l based on an alphabet of L symbols, the theoretical average number of neighbors N at Hamming distance D was calculated using the following formula for the number of neighbors:
For the present study, L = 20, l = 7, and D < 3. For the first layer of neighbors N1 = 133 and for the second N2 = 7581. Under the hypothesis that the database is a random sample from the set of heptamer peptides, the probability of the occurrence of each neighbor is:
and the expected mean number of distinct neighbors at D < 3 was calculated as p.(N(1,7)+N(2,7)) ≈1.33. The value of p was used subsequently also in a binomial test to calculate the probabilities of finding equal or higher number of adjacent mimotopes (Table 1).
Table 1
| Mimotopes | Protein_ID | Protein | Strain | Starting_pos | Number of Adjacent3 Mimotopes | |
|---|---|---|---|---|---|---|
| 1 | AQTGIAV | YP_009724389.1 | orf1ab1 nsp52 | SARS-CoV-2 | 3,518 | 6* |
| 2 | TKGPHEF | YP_009724389.1 | orf1ab nsp12 | SARS-CoV-2 | 5,198 | 22* |
| 3 | TTLDSKT | YP_009724390.1 | Spike | SARS-CoV-2 | 108 | 7* |
| 4 | HSYGIDL | NP_828849 | orf1ab nsp2 | SARS-CoV | 134 | 5* |
| 5 | TTYNGYL | NP_828849 | orf1ab nsp3 | SARS-CoV | 1,460 | 6* |
| 6 | AQTGIAV | NP_828849 | orf1ab nsp5 | SARS-CoV | 3,495 | 6* |
| 7 | TKGPHEF | NP_828849 | orf1ab nsp12 | SARS-CoV | 5,175 | 22* |
| 8 | VKGDDVR | NP_828851 | Spike | SARS-CoV | 389 | 8* |
| 9 | TTSTALG | NP_828851 | Spike | SARS-CoV | 922 | 6* |
| 10 | QLSLSMA | NP_828859 | hypothetical | SARS-CoV | 52 | 11* |
| 11 | GAGDAGH | NP_073549 | orf1ab nsp3 | 229E | 2,483 | 5* |
| 12 | QTSQALQ | NP_073551 | Spike | 229E | 818 | 2 |
| 13 | ANSFRLF | NP_073555 | M protein | 229E | 96 | 2 |
| 14 | NGSWVLN | AAR01012 | orf1ab nsp3 | OC43 | 2,987 | 2 |
Human public IgM repertoire (igome) selected mimotopes and their exact matches in the proteomes of SARS-CoV-2, SRAS-CoV, HCoV 229E and HCoV OC43.
orf, open reading frame;
nsp, non-structural protein.
Adjacent mimotopes are considered those that have no more than 2 mismatches (Hamming distance <3),
p < 0.05, Binomial test, fdr adjusted.
The structure of the spike of SARS-CoV-2 was recently published [6vsb.pdb ()]. It was used to visualize the molecular context of the spike epitope found. The visualization of the structure and the calculation of the relative solvent exposed surface were done using UCSF Chimera, developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41-GM103311.
To demonstrate linear B cell epitope prediction uncertainty, we have reanalyzed data from He et al. () on patients' sera reactivity to SARS- CoV peptides comparing them to Bepipred (http://tools.iedb.org/bcell/help/#Bepipred2) scores of the same sequences.
Results and Discussion
A simple comparison for exact matches to peptides from the SARS-CoV-2 proteome yielded 3 heptapeptides—two in the open reading frame 1ab (3518AQTGIAV3524 and 5198TKGPHEF5204) and one in the spike protein (108TTLDSKT114). The Expect value (E) is a parameter that describes the number of hits one can “expect” to see by chance when searching a database of a particular size. Essentially, the E value describes the random background noise (https://blast.ncbi.nlm.nih.gov/Blast.cgi?CMD=Web&PAGE_TYPE=BlastDocs&DOC_TYPE=FAQ#expect). The E value of search results with so short sequences is very high and the mere number of sequences is not statistically significant. Yet, this does not refute the fact that 3 heptapeptides which are operationally defined mimotopes of human preimmune antibodies, are part of the viral proteome and, thus, represent (parts of) possible epitopes. On the other hand, the mimotopes in the database sometimes form non-random clusters of homologous sequences much like the mimotopes selected by a single monoclonal antibody. Each one among 224,087 randomly selected heptamers should have on the average 1.33 homologous sequences in that same database that differ from it by up to 2 mismatches. As seen from Table 1, all SARS sequences but not those from trivial HCoV were members of clusters significantly greater than random (Binomial test, p < 0.05, false discovery rate adjusted). This is an indication that the presence of these sequences is non-random and they represent clusters of mimotopes representing well-represented individual (poly)specificities.
An important prerequisite for the functionality of these epitopes is their degree of exposure to the solvent. The recently published structure of the spike (S protein) of SARS-CoV-2 () shows that 108TTLDSKT114 forms a loop exposed to the solvent (Figure 1A). The relative solvent exposed surface greatly exceeds the threshold of 5% for participating in contacts (Figure 1B). This loop is adjacent to the loop representing the epitope of the neutralizing antibody LCA60 on the SARS-CoV spike (, ). Presumably, it is similarly exposed further in the open conformation of the spike domains. The adjacent N-glycosylation sites are N165 and N234. Dependent on the size of the carbohydrate sidechains, they may partially occlude the epitope.
Figure 1
The closest sequences in the human proteome are 540tlTLDSKT547 of the prostate-specific transglutaminase (TGM4) and 462TTLDSKi468 of mucin-16 [also known as ovarian tumor marker CA125, Q8WXI7.3, (
The sequences 108TTLDSKT114 has several exact matches in viruses outside the family Coronaviridae in hypothetical proteins of various phages. At least one of them infects L. plantarum which is a common species in the gut microbiome.
It is not surprising that the public IgM repertoire has clones potentially capable of binding to non-conserved regions of novel viruses. Similarly, the IgM igome contained sequences found also in SARS-CoV, although the epidemic was too restricted to be reflected in the antibody repertoires of the donors (Table 1). Furthermore, no signs of persistent antibody titers after exposure were observed. The representation of clones reactive with the trivial human coronaviruses 229E and OC43 was rather narrower than that of the unknown strains. Some of the epitopes were conserved between SARS-CoV and SARS-CoV-2 (AQTGIAV and TKGPHEF) but they were found in non-structural proteins and are hardly targets for neutralizing antibodies (Table 1). On the other hand, all potential epitopes found could play a role in targeting the viral proteins to specific B1 cells which produce the bulk of natural IgM. The latter are known to be excellent antigen presenting cells able to prime CD4+ T cells, and initiate Th1 immune responses (
The current thinking separates the repertoire of natural and induced antibodies (
None of the in silico predicted epitopes (
These considerations make the novel SARS-CoV-2 epitopes valid targets in the search for a vaccine for COVID-19. The whole paradigm followed here focuses exclusively on the relatively rare linear epitopes. A lot more information about conformational epitopes may be hidden in the natural mimotope database but the approaches for sorting out clusters of mimotopes defining a conformational epitope are still being developed. The proposed actual preimmune IgM epitopes of SARS-CoV-2 can be instrumental both as parts of subunit vaccines or in the design of nanoparticle-based vaccines but also in the development of therapeutic monoclonal antibodies.
Statements
Data availability statement
The datasets analyzed and the scripts for this study can be found in the GitHub Repository (https://github.com/ansts/SARS-CoV-2).
Author contributions
VS and AP: conceptualizing, manuscript preparation, and data analysis. PP: data analysis.
Funding
This work was funded partially by the Bulgarian Fund for Scientific Research Grant D01-11/2016.
Acknowledgments
The authors wish to thank Prof. Angel Galabov for critical reading of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
SARS-CoV-2, epitope, mimotope, B cell precursors, IgM
Citation
Shivarov V, Petrov PK and Pashov AD (2020) Potential SARS-CoV-2 Preimmune IgM Epitopes. Front. Immunol. 11:932. doi: 10.3389/fimmu.2020.00932
Received
31 March 2020
Accepted
21 April 2020
Published
30 April 2020
Volume
11 - 2020
Edited by
Denise Doolan, James Cook University, Australia
Reviewed by
Sylvie Fournel, Université de Strasbourg, France; Francisco Sobrino Castello, Severo Ochoa Molecular Biology Center (CSIC-UAM), Spain
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Copyright
© 2020 Shivarov, Petrov and Pashov.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Anastas D. Pashov a_pashov@microbio.bas.bg
This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology
†ORCID: Velizar Shivarov orcid.org/0000-0001-5362-7999
Anastas D. Pashov orcid.org/0000-0002-6033-3566
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