Meng Liang, Tian Xiao-Xiao, Xiang Xu-Yan, Qi Xin-Yu, Zhou Han-Rong, Xiao Pei-Yu, An Tong-Qing, Meng Fan-Dan, Wang Hai-Wei
State Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, The Chinese Academy of Agricultural Sciences, Harbin 150069, China.
Heilongjiang Provincial Key Laboratory of Veterinary Immunology, Harbin 150069, China.
Transbound Emerg Dis. 2025 May 7;2025:3398924. doi: 10.1155/tbed/3398924. eCollection 2025.
(SVA), an emerging pathogen causing vesicular disease in pigs, poses a significant threat to the swine industry. The nonstructural protein 3A of SVA plays an essential role in the viral replication cycle. In this study, we immunized mice with the prepared SVA 3A protein and produced two monoclonal antibodies (mAbs), AG4 and 2F3. MAb AG4 showed specific reactivity to the linear and conformational 3A protein, whereas mAb 2F3 did not recognize linear epitope of 3A protein. Through truncated 3A protein expression and alanine mutation analysis, we identified SPNEND as the minimal motif recognized by mAb AG4, with Asn being the critical residue. Additionally, we demonstrated that mAb 2F3 failed to recognize the SVA mutant with the QEETEG deletion in 3A protein, indicating that QEETEG constitutes an essential epitope for mAb 2F3. Further deletion analysis confirmed that QE is the crucial motif for mAb 2F3 recognition. Moreover, we found that SPNEND and QEETEG are highly conserved among different SVA strains and are exposed on the surface of the 3A protein. This study contributes to further explore the function of SVA 3A protein and develop diagnostic tools for SVA detection.
猪水疱病病毒(SVA)是一种新兴的可导致猪发生水疱病的病原体,对养猪业构成重大威胁。SVA的非结构蛋白3A在病毒复制周期中起关键作用。在本研究中,我们用制备的SVA 3A蛋白免疫小鼠,制备了两种单克隆抗体(mAb),即AG4和2F3。单克隆抗体AG4对线性和构象性3A蛋白均表现出特异性反应,而单克隆抗体2F3不识别3A蛋白的线性表位。通过截短的3A蛋白表达和丙氨酸突变分析,我们确定SPNEND是单克隆抗体AG4识别的最小基序,其中天冬酰胺是关键残基。此外,我们证明单克隆抗体2F3不能识别3A蛋白中缺失QEETEG的SVA突变体,这表明QEETEG是单克隆抗体2F3的一个必需表位。进一步的缺失分析证实QE是单克隆抗体2F3识别的关键基序。此外,我们发现SPNEND和QEETEG在不同的SVA毒株中高度保守,且暴露于3A蛋白表面。本研究有助于进一步探索SVA 3A蛋白的功能,并开发用于SVA检测的诊断工具。