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Research Article

Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 10 Oct 2018
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This article is included in the Bioinformatics gateway.

This article is included in the Emerging Diseases and Outbreaks gateway.

Abstract

Background: Cases of the re-emergence of Zika virus in 2015 were associated with severe neurologic complications, including Gillien-Barre syndrome in adults and congenital Zika syndrome in newborns. The major structural determinant of immunity to the Zika virus is the E protein. Although B-cell epitopes of Zika E protein were recently identified, data regarding epitope variations among Zika strains in pre-epidemic and epidemic periods are lacking.
Methods: Here, we conducted systematic bioinformatics analyses of Zika strains isolated between 1968 and 2017. Multiple sequence alignment of E protein as well as B-cell epitopes annotations were performed. In addition, homology-based approach was utilized to construct three-dimensional structures of monomeric E glycoproteins to annotate epitope variations. Lastly, of N-glycosylation patterns and prediction of protein stability upon mutations were also investigated.
Results: Our analyses indicates that epitopes recognized by human mAbs ZIKV-117, ZIKV-15, and ZIKV-119 were highly conserved, suggesting as attractive targets for the development of vaccines and immunotherapeutics directed against diverse Zika strains. In addition, the epitope recognized by ZIKV-E-2A10G6 mAb derived from immunized mice was highly conserved across Zika strains.
Conclusions: Our data provide new insights regarding antigenic similarities between Zika strains circulating worldwide. These data are essential for understanding the impact of evolution on antigenic cross-reactivity between Zika lineages and strains. Further in-vitro analyses are needed to determine how mutations could impact the development of vaccines that can effectively neutralize Zika viruses.

Keywords

Antibody, Bioinformatics, Envelope, Epitope, Homology Modeling, Neutralizing Antibodies, Vaccine, Zika

Introduction

Zika is a positive-sense, enveloped, RNA virus of the Flaviviridae family1, which also includes dengue virus, West Nile virus (WNV), Japanese encephalitis virus (JEV), tick-borne encephalitis virus (TBEV), and yellow fever virus (YFV)2. Zika was originally discovered in a rhesus monkey in 1947 in Uganda3, and the first case of spread to humans was reported in 19524. Since that time, the virus has spread globally, with Zika outbreaks reported in Micronesia in 2007 and in the Pacific islands in 2013–20145,6. A recent outbreak that began in Brazil in 2015 eventually spread to countries in North America and the Caribbean7,8.

The Zika virus genome encodes three structural proteins (capsid [C], premembrane [PrM], and envelope [E]) and seven non-structural proteins (NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5)2. Similar to other flaviviruses, the structural proteins and viral genome form virions that assembles as immature particles at the endoplasmic reticulum of infected cells9. The immature particles are composed of 60 PrM/E protein heterodimers that protrude from the viral surface10. In the Golgi apparatus, PrM is cleaved by furin-like protease2. After maturation, pr is released from the host cell, and 90 E protein homodimers rearrange in an antiparallel orientation to form a herringbone-like array11,12.

The E protein is the major surface glycoprotein of flaviviruses and plays an essential role in virus attachment and fusion. Each E protein monomer consists of three domains: DI, DII, and DIII13, which undergo major rearrangements during the virus maturation cycle14,15. DI is a central beta-barrel domain; DII is a finger-like dimerization domain; and DIII is an immunoglobulin-like domain10,11. DI, which connects DII to DIII, is essential for the conformational changes required for viral entry into cells16. DII contains a fusion loop (FL) that interacts with the endosomal membrane, whereas DIII contains the receptor-binding site and is thus essential for attachment of virus particles to the host cell15,16. DIII also plays an essential role in mediating the fusion of virus particles with the endosomal membrane after endocytosis17.

The global spread of Zika virus in conjunction with the neurologic consequences of infection have increased the urgency of efforts to develop Zika vaccines and immunotherapeutics. Humoral immunity is the major source of host protection against flaviviruses, in which neutralizing antibodies play an important role in virus clearance18. Antibodies generated against the E protein have been shown to block the entry of viruses into host cells19. Previous attempts to map the antigenic epitopes of the Zika E protein utilized antibodies specific for other flaviviruses, such as dengue virus2022. Recently, several B-cell antigenic epitopes within an individual E domain were identified in studies of antibodies isolated from Zika-virus infected patients2325 and Zika-vaccinated mice13,26,27.

Although antigenic epitopes of the E protein have been characterized based on maps prepared using Zika-specific antibodies, no systematic analyses of the specificity of Zika monoclonal antibodies (mAbs) for available Zika E protein sequences have been conducted. Such data are particularly important, as RNA viruses exhibit high mutation rates and can generate mutations that enable them to evade the host immune system. Importantly, the structural stability of E protein is a key factor for antibody binding. The amino acids substitutions and subsequent effects on structural stability and antibody binding can be performed by a homology based in-silico approach of the three-dimensional (3D) structure of E proteins. Hence, analyzing sequence data to annotate mutations at key residues and subsequent prediction of the effect of those mutations on protein structure stability is essential. Therefore, identifying novel amino acids mutations that are likely to contribute in the immune evasion is important.

In the present study, therefore, we extracted all of the available E protein sequences for Zika isolates obtained from 1968 to 2017 and constructed three-dimensional (3D) structures of E proteins from various Zika strains using homology modeling. We also investigated the patterns and conservation of E protein B-cell epitopes and assessed their structural stability upon mutation.

Methods

Data selection

Complete Zika polypeptide sequences for isolates identified between 1968 and 2017 were obtained from the National Center for Biotechnology Information (NCBI) Zika resource28. A total of 409 complete polypeptide sequences were retrieved, and duplicate sequences were removed. Multiple sequence alignment was performed using MUSCLE in the Geneious tool, version 11.0, and the E protein region as extracted29. Lastly, MUSCLE alignment was performed for E protein sequences and duplicate E sequences were subsequently removed.

Phylogenetic analysis

A phylogenetic tree for all unique Zika virus E protein sequences was constructed using the maximum-likelihood method with the PhyML tool, version 3.030, with 100 bootstrap replications. The tree applied an LG substitutional model to determine the divergence of E protein sequences. Lastly, the phylogenetic tree was edited using the Figtree tool, version 1.4.3.

Homology modeling

The SWISS model31 server was used to generate 3D structures of the E proteins of Zika isolates identified in 1968, 2007, 2013, 2015, and 2016. Chain A of the E protein structure (PDB: 5GZN) was used as a template for homology modeling. The best homology model was selected based on global model quality estimate (GMQE) and Qmean statistics. Each homologous 3D structure was evaluated using Ramachandran plots prepared with PROCHECK32. Hydrogen bonds were added using molprobity33. Each model was subjected to energy minimization using the ModRefiner server described by Xu and Zhang34.

Mapping of antigenic epitopes

E protein-specific antigenic epitopes of monoclonal antibodies (mAbs) isolated from Zika-virus infected humans and Zika immunized mice were retrieved from the Immune Epitope Database (IEDB)35, which is a free resource funded by the National Institute of Allergy and Infectious Diseases devoted to disseminating antigenic epitope data. Linear and conformational B-cell epitopes with positive major histocompatibility complex ligands were selected. B-cell epitope regions mapped with B-cell receptor (BCR)-positive neutralizing antibodies were also selected. Epitopes that mapped with screening peptides and did not elicit an immune response were removed. A total of 7 human and 10 mouse (from mice immunized with E protein) B-cell epitopes were identified. The identified epitopes were annotated against aligned E sequences as well as the 3D structures of monomeric E proteins using the Chimera tool36. Potential sites of N-glycosylation were predicted using NetNglycan 1.0 server37. Potential N-glycosylation sites were defined by the sequence Asp/X/Ser/Thr, where X represents any amino acid except Pro. A threshold of >0.5 suggested an N-glycosylated residue.

Analysis of mutations on E protein stability

The effect of mutations on the stability of E protein was predicted using the mutation cutoff scanning matrix (mCSM)38, site-directed mutator (SDM)39, DUET40, and I-Mutant 2.041 tools. The mCSM is a machine-learning algorithm based on a 3D physiochemical environment, and the data are summarized as a graphical signature. The SDM is a statistical potential energy function based on the propensity of amino acids in wild-type and mutant proteins to assume folded and unfolded conformations. DUET is an integrated computational approach that utilizes both SDM and mCSM to predict the effect of non-synonymous single-nucleotide polymorphisms on protein stability. Lastly, the I-Mutant webserver is a neural network-based tool for predicting mutation-associated free energy changes. The I-Mutant2.0 tool enables prediction of free energy changes under differing conditions of pH, temperature, neighboring residues, and solvent accessibility.

Results

Strain frequencies

Antigenic variations among Zika strains were examined by first obtaining the complete sequences of Zika polypeptides from the NCBI Zika resource19. A total of 409 Zika polypeptide sequences were retrieved. Identical polypeptide sequences were removed, resulting in a final total of 257 sequences. Sequences were aligned by MUSCLE using Geneious software, E protein sequences were extracted, and duplicate E protein sequences were removed, resulting in a total of 75 unique sequences (Table 1). Of note, the majority of the 75 unique E protein sequences were represented strains isolated in 2015 and 2016. Sequences from isolates collected in 2017 did not harbor any unique mutations in comparison to sequences from isolates collected in previous years; thus, 2017 sequences were removed after duplicate E protein sequences were removed.

Table 1. List of unique E protein sequences and their frequency.

NumberAccessionSequence DescriptionFrequencyN-Glycosylation
1AMR68906|Homo sapiens|Nigeria|1968/09/09-
2ACD75819|Homo sapiens|Micronesia|2007/06/01154 NDTG
3AMR39834|Homo sapiens|Cambodia|20102154 NDTG
4AMD61711|Homo sapiens|Philippines|2012/05/09154 NDTG
5ANO46307|Homo sapiens|French Polynesia|2013/11154 NDTG
6ANO46309|Homo sapiens|French Polynesia|2014/01154 NDTG
7AMD61710|Homo sapiens|Thailand|2014/07/19154 NDTG
8AMK49165|Homo sapiens|Brazil|2015154 NDTG
9AMK49164|Homo sapiens|Brazil|2015154 NDTG
10AOC50654|Homo sapiens|Honduras|2015/01/06154 NDTG
11AMX81917|Homo sapiens|Thailand|2015/01/16154 NDTG
12ASB32509|Homo sapiens|Brazil|2015/05/134154 NDTG
13ALX35659|Homo sapiens|Suriname|2015/10/02154 NDTG
14AMC13913|Homo sapiens|Guatemala|2015/11/01154 NDTG
15AMD16557|Homo sapiens|Brazil|2015/11/30154 NDTG
16ASU55392|Homo sapiens|Colombia|2015/12154 NDTG
17ASU55393|Homo sapiens|Colombia|2015/12154 NDTG
18ASU55394|Homo sapiens|Colombia|2015/12154 NDTG
19ASU55403|Homo sapiens|Colombia|2015/12154 NDTG
20ASU55399|Homo sapiens|Colombia|2015/12154 NDTG
21ASU55411|Homo sapiens|Colombia|2015/12154 NDTG
22ASU55407|Homo sapiens|Colombia|2015/123154 NDTG
23ASU55396|Homo sapiens|Colombia|2015/12154 NDTG
24ASU55398|Homo sapiens|Colombia|2015/12154 NDTG
25ASU55409|Homo sapiens|Colombia|2015/12154 NDTG
26AMQ48982|Homo sapiens|Brazil|2016/01/29154 NDTG
27AMQ48986|Homo sapiens|USA|2016/02/02154 NDTG
28AMK79469|Homo sapiens|China|2016/02/06154 NDTG
29APC60216|Homo sapiens|Mexico|2016/03/03154 NDTG
30AOY08538|Homo sapiens|Brazil|2016/03/21154 NDTG
31AOX49265|Homo sapiens|Italy|2016/042154 NDTG
32AQS26698|Homo sapiens|South Korea|2016/04-
33AOY08534|Homo sapiens|Brazil|2016/04/05167154 NDTG
34ARB07987|Homo sapiens|Dominican Republic|2016/04/07154 NDTG
35ARB07941|Homo sapiens|Brazil|2016/04/14-
36ARB07968|Homo sapiens|Brazil|2016/04/15154 NDTG
37ARB07988|Homo sapiens|Dominican Republic|2016/04/18154 NDTG
38AQS26816|Homo sapiens|Brazil|2016/04/24154 NDTG
39APG56499|Homo sapiens|Taiwan|2016/05154 NDTG
40ATG29278|Homo sapiens|Honduras|2016/05/10154 NDTG
41ARB07930|Homo sapiens|Honduras|2016/05/13154 NDTG
42ATG29285|Homo sapiens|Mexico|2016/05/17154 NDTG
43ART29823|Homo sapiens|Russia|2016/05/31154 NDTG
44ARB07996|Homo sapiens|Dominican Republic|2016/06/06154 NDTG
45ARB07964|Homo sapiens|Honduras|2016/06/07154 NDTG
46ARB07960|Homo sapiens|Honduras|2016/06/10154 NDTG
47ARB07931|Homo sapiens|Jamaica|2016/06/13154 NDTG
48AOY08535|Homo sapiens|Dominican Republic|2016/06/14154 NDTG
49APB03018|Homo sapiens|USA|2016/06/21154 NDTG
50ARB07974|Homo sapiens|Puerto Rico|2016/06/26154 NDTG
51ATG29297|Homo sapiens|Mexico|2016/07/05154 NDTG
52ATG29280|Homo sapiens|Mexico|2016/07/06154 NDTG
53ATG29301|Homo sapiens|Mexico|2016/07/07154 NDTG
54ARB07936|Homo sapiens|Jamaica|2016/07/10154 NDTG
55ATG29267|Homo sapiens|Guatemala|2016/07/212154 NDTG
56APO39231|Homo sapiens|USA|2016/07/29154 NDTG
57AQX32984|Homo sapiens|Honduras|2016/08/26154 NDTG
58APH11519|Homo sapiens|Singapore|2016/08/27154 NDTG
59APH11522|Homo sapiens|Singapore|2016/08/27154 NDTG
60APH11526|Homo sapiens|Singapore|2016/08/27154 NDTG
61APH11536|Homo sapiens|Singapore|2016/08/28154 NDTG
62APH11556|Homo sapiens|Singapore|2016/08/28154 NDTG
63APH11539|Homo sapiens|Singapore|2016/08/29154 NDTG
64APH11534|Homo sapiens|Singapore|2016/08/30154 NDTG
65APH11611|Homo sapiens|Thailand|2016/08/30154 NDTG
66APH11493|Homo sapiens|Singapore|2016/09/04154 NDTG
67APH11502|Homo sapiens|Singapore|2016/09/074154 NDTG
68APH11511|Homo sapiens|Singapore|2016/09/13154 NDTG
69APH11588|Homo sapiens|Singapore|2016/09/15154 NDTG
70APO39241|Homo sapiens|USA|2016/10/03154 NDTG
71AQX32988|Homo sapiens|Venezuela|2016/10/19154 NDTG
72ARK18853|Homo sapiens|China|2016/11/015154 NDTG
73APO08504|Homo sapiens|China|2016/11/03154 NDTG
74BAX00477|Homo sapiens|Japan|2016/11/22154 NDTG
75ASU55416|Homo sapiens|Colombia|2016/122154 NDTG

Phylogeny

A phylogenetic tree of unique E protein sequences was constructed using the maximum-likelihood function in PhyML software, with 100 bootstrap replications (Figure 1). Zika strain accession numbers shown in the phylogenetic tree denote the year of isolation. Notably, E protein sequences from isolates collected in 1968, 2007, 2010, and 2012 clustered in one group, indicating that the associated strains are closely related (Figure 1). However, sequences from strains isolated in 2013 and 2014 exhibited divergence from the sequences of strains isolated in previous years (Figure 1).

dcd35a94-a5f0-418e-b487-b33265870fb6_figure1.gif

Figure 1. Phylogenic tree of the unique E protein sequences between the years 1968–2017.

Year 1968 colored (purple), 2007 (yellow), 2010 (cyan), 2012 (green), 2013(red), 2014 (brown), 2015(magenta), and 2016 (blue).

Antigenic epitopes

A number of recent reports describe the isolation of mAbs specific for Zika E protein2328. These antibodies bind preferentially to epitopes located in DII and DIII of the E glycoprotein (Table 2). A total of 7 neutralizing mAbs have been isolated from Zika-virus infected humans, and all of these mAbs bind to discontinuous epitopes of E protein. Of note, ZIKV-117 and ZIKV-19 mAbs recognize epitopes located in DII (Table 2), whereas ZIKV-12 and ZIKV-15 mAbs recognize epitopes located in the FL region, and mAbs ZIKV-Z006, and ZIKV-116 as well as the ZKA 190 mAb recognize epitopes located in DIII. Significant overlap between antigenic epitopes specific for ZIKV-Z006 and ZIKV-116 was observed, as three residues in the epitope recognized by the ZIKV-116 mAb are shared with the epitope recognized by ZIKV-Z006 (Table 2). In addition, the epitope region recognized by the ZKA 190 mAb overlapped with that of the mAb specific for ZIKV-Z006 in two amino acids residues.

Table 2. List of B cell epitopes of Zika E protein mapped with neutralizing antibodies from infected humans and vaccinated mice.

IEDB IDEpitopeE DomainmABReferences
Human Epitopes605975D67, Q89, K118DIIZIKV-11723
605976T309, E393, K394DIIIZIKV-11623
605977W101FLZIKV-1523
605978W101, F108FLZIKV-1223
605979W217, F218, D220, P222DIIZIKV-1923
628722Y305, S306, L307, T309, A310, A311, G334, T335, D336,
K340, Q350, T351, L352, V391, G392, E393, K394, K395
DIIIZIKV-Z00624
733913Y305, A333, T335, E370, N371DIIIZKA 19025
Mouse Epitopes
Discontinuous
540699T76, Q77, W101, G102, G104, C105, G106, L107, F108DIIZIKV-E-2A10G613
558355K301, T315, K316, I317, P318, A319, E320, T321, L322,
T327, E329, N362, V364, I365, T366, E367, S372, K373,
M374, M375, E377
DIII (C-C’ loop)ZV-4826
558356L307, K340, P342, A343, Q344, V347, D348, Q350, T351,
L352, T353, P354, L358, D384, Y386
DIII (LR)ZV-5426
558357L307, K340, P342, A343, Q344, V347, D348, Q350, T351,
L352, T353, P354, V355, L358, V391
DIII (C-C’ loop)ZV-6426
558358T309, A310, A311, F312, T313, F314, Q331, Y332, A333,
G334, T335, D336, G337, S368, E370, N371, E393, K394,
K395, I396, T397
DIII (LR)ZV-6726
Mouse Epitopes
Linear
745460D247, A248, H249, A250, K251, R252, Q253, T254, V255,
V256, V257, L258, G259, S260, Q261, E262, G263, A264,
V265
DIINA27
745469G383, D384, S385, Y386, I387, V388, I389, G390, V391,
G392, D393, K394
DIIINA27
745482L300, K301, G302, V303, S304, Y305, S306, L307, C308,
T309, A310, A311, F312, T313, F314, T315, K316, V317,
P318, A319, E320, T321
DIIINA27
753507L352, T353, P354, V355, G356, R357, L358, I359, T360,
A361, N362, P363, V364, I365, T366, E367
DIIINA27
745501T427, A428, W429, D430, F431, G432, S433, V434, G435,
G436, V437, F438, N439, S440, L441, G442, K443
DIIINA27

A total of 10 B-cell epitopes of Zika E protein were found to elicit humoral antibody responses in vaccinated mice (Table 2). Five of these epitopes were shown to be linear and elicited the production of neutralizing antibodies (Table 2). An additional five discontinuous epitopes have been characterized based on antibodies obtained from vaccinated mice (Table 2). The majority of those epitopes are bound to DIII domain of E.

To identify amino acid substitution mutations occurring in B-cell epitopes, we aligned the sequences of 75 unique E protein amino acids sequences among the 422 pre-epidemic and epidemic Zika strains identified. The sequence of Zika/Nigeria/9/9/1968 was used as a reference, and the E protein sequences were mapped against all of the mAbs from Zika infected humans or vaccinated mice. We then annotated the mutations in Zika E glycoprotein at predefined B-cell epitopes. Only nine Zika strains were found to carry mutations in the predefined B-cell epitopes recognized by mAbs from Zika-virus infected humans. Of note, two amino acids substitutions (R335T) and (D393E) appeared in 2007 (Figure 2A). These amino acids substitutions were retained in all subsequent strains from 2007 to 2016. Interestingly, no unique mutations were observed in predefined B-cell epitopes for isolates collected between 2008 and 2014. However, in 2015, two additional substitutions of alanine residues for threonine residues appeared at amino acid positions 309 and 333 (Figure 2A). These mutations were not retained in subsequently isolated Zika strains, with the sequences quickly reverting to those of previously isolated strains. The greatest number of amino acid substitution mutations occurred in 2016; the majority of the mutations identified in 2016 involved several deletions in specific regions of the predefined B-cell epitopes (Figure 2A). Of note, the Dominican Republic/6/6/2016 strain exhibited significant deletions in B-cell epitopes recognized by ZIKV-Z006 mAb (Figure 2A). Surprisingly, 3 B-cell epitopes were completely conserved in the pre-epidemic and epidemic strains and indeed have not changed for nearly 50 years (Figure 2A). These epitopes are recognized by the mAbs ZIKV-117, ZIKV-15, and ZIKV-19. Thus, as these mAbs could exhibit cross-reactivity against a wide range of Zika strains, they have potential for use in the development of vaccines and immunotherapeutics targeting Zika (Figure 2A).

dcd35a94-a5f0-418e-b487-b33265870fb6_figure2A.gif

Figure 2A. B-cell epitopes alignments mapped with human anti-E monoclonal antibodies.

A total of 9 Zika strains are variable at predefined B-cell epitopes during 1968–2017.

Conversely, none of 10 mouse B-cell epitopes were completely conserved among all Zika strains (Figure 2B, Figure 2C). Of note, the number of Zika strains exhibiting variations in the amino acid sequence at predefined antigenic epitopes of the E protein was higher in mAbs characterized in vaccinated mice than in mAbs characterized in infected humans (Figure 2B, Figure 2C). In addition, both the linear and discontinuous epitopes of vaccinated mice exhibited variations beginning in 2014 and continuing in subsequent years (Figure 2B, Figure 2C). The majority of mAbs in vaccinated mice recognized the DIII of E protein, and these epitopes exhibited higher rates of sequence variation than did the mAbs recognizing DII (Figure 2B, Figure 2C). Of note, the ZIKV-E-2A10G6 mAb binds to a highly conserved discontinuous epitope in which a single amino acid deletion was observed in Zika strain ATG29285|Homo sapiens|Mexico|17/05/2016. Remarkably, discontinuous epitopes bound the ZV-67 mAb exhibited the highest degree of variation in amino acid sequence among all the Zika B-cell epitopes examined (Figure 2B). Sequence variations were also observed in all of the Zika E protein linear epitopes (Figure 2C).

dcd35a94-a5f0-418e-b487-b33265870fb6_figure2B.gif

Figure 2B. Discontinuous B-cell epitopes alignments mapped with mice anti-E monoclonal antibodies.

A total of 18 Zika strains were variable at predefined B-cell epitopes during 1968–2017.

dcd35a94-a5f0-418e-b487-b33265870fb6_figure2C.gif

Figure 2C. Linear B-cell linear alignments mapped with mice anti-E antibodies.

A total of 20 Zika strains were variable at predefined B-cell epitopes during 1968–2017.

E protein homology modeling

The recently solved E protein structure of Zika enabled us to construct a homology model of various E protein sequences. Amino acid substitutions in B-cell epitopes were also annotated on the 3D structure of the E protein. The majority of mutations in the E protein were found to be located within DIII, whereas the B-cell epitopes in DII were highly conserved (Figure 3). Zika strain Homo sapiens/French Polynesia/11/13 did not harbor any additional mutations in B-cell epitopes compared with Zika strain Homo sapiens/Micronesia/01/06/07 (Supplementary Figure 1).

dcd35a94-a5f0-418e-b487-b33265870fb6_figure3.gif

Figure 3. Comparison of B-cell epitopes of monomeric E between the years 1968, 2007, 2010, 2015, and 2016.

Homology models of E were built from PDB: 5GZN chain A from strains of following E sequences: AMR68906| Homo sapiens |Nigeria|09/09/1968, ACD75819| Homo sapiens |Micronesia|01/06/2007, ANO46307| Homo sapiens/French Polynesia/11/2013, AMX81917/Homo sapiens/Thailand/16/01/2015, and AMQ48986 | Homo sapiens |USA|02/02/2016. Color blue color represents amino acids conservation at B-cell epitopes and color pink represents amino acids substitutions. Yellow label represent N-glycosylation potential of E.

It is known that N-glycosylation can mask antigenic epitopes. However, as the glycosylation site in the Zika E protein is located remotely from the predefined B-cell epitopes, glycosylation does not mask the B-cell epitope epitopes (Figure 3). This is consistent with reports of glycosylation in E protein of WNV and JEV18. A recent report demonstrated that glycosylation at 154 is critical for Zika infection of both mammalian and mosquito hosts17. Our analyses indicate that antigenic changes occur less frequently in Zika strains (Figure 3) and suggest that highly effective neutralizing Zika vaccines and immunotherapies for treating infections with known Zika strains are possible. Consequently, monitoring antigenic changes in E proteins over time would be useful for evaluating the cross-neutralizing potential of Zika vaccines against newly mutated strains.

Mutational stability

Mutation stability was carried out to predict the effects of non-synonymous variants on the stability of E protein and antibody binding. Here, we analyzed the stability of monomeric E protein upon substitutional mutations. To investigate the effect of amino acids substitutions at antigenic epitopes on the stability of E protein and antibody binding of E, 4 prediction tools for mutational stability were selected.

We predicted the stability of B-cell epitope mutations using the 3D structure of Zika E proteins. In both the T309A and T335A substitutions, a polar threonine residue was substituted with a hydrophobic alanine residue. No change in hydrophobicity with the V391I mutation or change in charge with the D393E were observed. In the R335T mutation, a basic residue was substituted with an aromatic residue. Overall, these suggest that defined substitutions in the E glycoprotein are potentially destabilizing. However, these mutations had moderate destabilizing effect, as the ∆∆G values ranged between -0.3 and -0.7 kcal/mol (Table 3).

Table 3. Mutational stability prediction of substituted amino acids at B-cell epitopes of E.

MutationsmCSMEffectSDMEffectDUETEffectI-Mutant2.0Effect
T309A- 0.464 Kcal/molDestabilizing0.12 Kcal/molStabilizing-0.22 Kcal/molDestabilizing-0.15 Kcal/molDecreased
stability
T335A- 0.596 Kcal/molDestabilizing0.12 Kcal/molStabilizing-0.337 Kcal/molDestabilizing0.33 Kcal/molIncreased
stability
R335T- 0.304 Kcal/molDestabilizing-0.38 Kcal/molDestabilizing-0.173 Kcal/molDestabilizingNANA
V391I- 0.375 Kcal/molDestabilizing0.08Stabilizing-0.022Destabilizing-0.25 Kcal/molDecreased
stability
D393E- 0.38 Kcal/molDestabilizing0.06 Kcal/molStabilizing-0.149 Kcal/mol DestabilizingNANA

Discussion

Attempts to control the spread of Zika virus via mosquito control have met with limited success. Indeed, within the past 3 years, a Zika pandemic occurred. There is a significant gap in knowledge regarding immunogenic cross-reactivity between Zika strains, even six decades after the first human infection was reported. Bioinformatics approaches can play vital roles in identifying rapidly evolving amino acid residues and thereby facilitate precise mapping of key residues that drive antigenic escape in response to the generation of host neutralizing antibodies. In the present study, we evaluated conserved versus rapidly evolving antigenic regions in predefined B-cell epitopes of the Zika E protein in pre-epidemic and epidemic periods.

The finger-like DII of the Zika E protein contains a FL that is inserted into the endosomal membrane as a result of pH-dependent conformational changes14. The FL is located within the beta-sheet structure in the terminal region of DII and contains a highly conserved hydrophobic peptide that triggers the structural changes required for fusion processes under conditions of low pH15. Our analysis demonstrated that B-cell epitopes in DII of Zika E protein are highly conserved. mAbs ZIKV-117, ZIKV-15, and ZIKV-19 are bound to the highly conserved region of DII and are therefore attractive candidates in the design of Zika vaccines and immunotherapeutics.

The immunoglobulin-like DIII of the Zika E protein contains receptor-binding sites and plays an essential role in attachment and fusion of the virus to host cells11,12. Importantly, DIII reportedly induces the production of type-specific neutralizing antibodies26, as mAbs isolated from patients infected with either Zika or dengue are highly specific. In the present study, we found that epitopes within E protein DIII vary greatly within Zika strains.

While dengue is considered as a single serotype, it is characterized by four distinct serotypes. The antibody-dependent enhancement (ADE) hypothesis holds that cross-reactive antibodies generated as a result of previous infections with heterologous flaviviruses can enhance the infectivity of other viruses42,43. Infection with the same serotype elicits a protective immune response, but re-infection with a different serotype can lead to serious disease42,43. Previous studies demonstrated that mAbs isolated from patients infected with dengue virus cross-react with Zika virus4447.

Similarly, mAbs isolated from Zika patients directed against E protein DII cross-react with dengue44,48, indicating possible increased risk of ADE. Furthermore, another study demonstrated that dengue-virus derived mAbs also cross-react with Zika with high potency20. Those mAbs are bound to quaternary epitopes, which include the site of interaction of E protein dimer with PrM during virus maturation20. In contrast, most mAbs directed against DIII of Zika E protein do not cross-react with dengue44.

In the present study, we compared mAbs of Zika E protein elicited in cases of Zika-virus infected humans versus mAbs induced by Zika vaccination in mice and identified several conserved epitope footprints. The conserved E protein epitopes could be useful in research aimed at developing vaccines that elicit the production of antibodies that provide protection against Zika strains but do not cross-react with dengue. For example, immunization with a peptide cocktail of antigenic DIII epitopes might provide broad protection against a variety of Zika strains yet demonstrate no cross-reactivity with dengue, thus eliminating the possibility of ADE associated with the anti-Zika antibodies.

Data availability

Zika protein sequences data can be found at the NCBI Zika resource.

Zika B-cell antigenic epitopes can be found at Immune Epitope Database (IEDB).

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  • Reader Comment 30 Jan 2019
    Million Abraha, University of Bern, Switzerland
    30 Jan 2019
    Reader Comment
    I have read the whole article and i find it to be really interesting.
    Competing Interests: No competing interests were disclosed.
  • Discussion is closed on this version, please comment on the latest version above.
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Almansour I, Alfares R and Aljofi H. Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2018, 7:1624 (https://doi.org/10.12688/f1000research.16454.1)
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
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Reviewer Report 21 May 2019
Sunil K Joshi, Department of Pediatrics, Miller School of Medicine, University of Miami, Miami, FL, USA;  Department of Microbiology & Immunology, University of Miami, Miami, FL, USA 
Approved
VIEWS 15
Authors described in-silico methods to delineate the data which are particularly important due to high mutation rates by RNA viruses which can generate mutations, that enable them to evade the host immune system. Authors emphasized the structural stability of E ... Continue reading
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Joshi SK. Reviewer Report For: Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2018, 7:1624 (https://doi.org/10.5256/f1000research.17985.r42684)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 06 Nov 2018
Meirong Jia, Roy J. Carver Department of Biochemistry, Biophysics & Molecular Biology, Iowa State University, Ames, IA, USA;  University of California, Department of Plant Biology, Davis, CA, USA 
Approved with Reservations
VIEWS 33
Summary:  Zika virus is still a big threat to human health, and E protein is its major structural determinant of immunity. The identification of B-cell epitopes of Zika E protein is crucial for the development of vaccines and immunotherapeutics. Here, the authors conducted systematic bioinformatics analyses of Zika strains isolated between 1968 and 2017, they’ve found conservative epitopes between Zika strains, which could ... Continue reading
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HOW TO CITE THIS REPORT
Jia M. Reviewer Report For: Large-scale analysis of B-cell epitopes of envelope: Implications for Zika vaccine and immunotherapeutic development [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2018, 7:1624 (https://doi.org/10.5256/f1000research.17985.r39301)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 27 Jun 2019
    Iman Almansour, Epidemic Diseases Department-Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, P.O.Box 1982, Dammam 31441, Saudi Arabia
    27 Jun 2019
    Author Response
    We thank Dr.Jia for the careful reading of the manuscript and the constructive remarks.

    Response to general comments:
    1.Corrections has been made.
    2.Corrections has been made.
    3.Yes, thank you ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 27 Jun 2019
    Iman Almansour, Epidemic Diseases Department-Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, Dammam, P.O.Box 1982, Dammam 31441, Saudi Arabia
    27 Jun 2019
    Author Response
    We thank Dr.Jia for the careful reading of the manuscript and the constructive remarks.

    Response to general comments:
    1.Corrections has been made.
    2.Corrections has been made.
    3.Yes, thank you ... Continue reading

Comments on this article Comments (1)

Version 2
VERSION 2 PUBLISHED 27 Jun 2019
Revised
Version 1
VERSION 1 PUBLISHED 10 Oct 2018
Discussion is closed on this version, please comment on the latest version above.
  • Reader Comment 30 Jan 2019
    Million Abraha, University of Bern, Switzerland
    30 Jan 2019
    Reader Comment
    I have read the whole article and i find it to be really interesting.
    Competing Interests: No competing interests were disclosed.
  • Discussion is closed on this version, please comment on the latest version above.
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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