Identification of a novel linear B-cell epitope within the collagenase equivalent domain of porcine epidemic diarrhea virus spike glycoprotein
文献类型： 外文期刊
作者： Sun, Yan-gang 1 ; Li, Rui 2 ; Xie, Sha 2 ; Qiao, Songlin 2 ; Li, Qingmei 2 ; Chen, Xin-xin 2 ; Deng, Ruiguang 2 ; Zhang, 1 ;
作者机构： 1.Jilin Univ, Coll Vet Med, Changchun 130062, Jilin, Peoples R China
2.Henan Acad Agr Sci, Minist Agr, Henan Prov Key Lab Anim Immunol, Key Lab Anim Immunol, Zhengzhou 450002, Henan, Peoples R China
3.Henan Agr Univ, Coll Anim Sci & Vet Med, Zhengzhou 450002, Henan, Peoples R China
关键词： Porcine epidemic diarrhea virus; Spike glycoprotein; COE; Monoclonal antibody; Epitope
期刊名称：VIRUS RESEARCH （ 影响因子：3.303； 五年影响因子：3.445 ）
ISSN： 0168-1702
年卷期： 2019 年 266 卷
页码：
收录情况： SCI
摘要： The porcine epidemic diarrhea virus (PEDV) collagenase equivalent domain (COE, residues 499-638), a crucial antigenic region within the viral spike (S) glycoprotein, has been widely utilized for the development of subunit vaccines to prevent viral infection. In the current study, we immunized BALB/c mice with recombinant truncated PEDV COE protein and obtained 14 COE-specific monoclonal antibodies (mAbs). Based on the reactivity analysis of the mAbs with two prevalent PEDV strains in G2 type and the attenuated CV777 strain in G1 type, 6 mAbs were selected for subsequent identification of COE mAb-binding epitopes. Dot-blot hybridization and enzyme linked immunosorbent assays (ELISAs) identified the peptide (592)TSLLASACTIDLFGYP(607) as a novel linear B-cell epitope involved in binding of mAbs 4D8F10 and 6F3E3. Subsequently, alanine (A)-scanning mutagenesis demonstrated that residues 606Y, 605G and 604F were core residues involved in recognition. Importantly, this novel COE epitope, including core residues, is conserved among G1 and G2 type PEDV strains. Further experiment indicates that the mAbs 4D8F10 and 6F3E3 were suitable for PEDV detection via mAb binding to the conserved epitope. The current work actually provides potential uses for the development of diagnostic methods to detect PEDV.
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