Setor de Virologia, Departamento de Medicina Veterinária Preventiva, Universidade Federal de Santa Maria, Santa Maria, Av. Roraima, 1000, Prédio 63A, Camobi, Santa Maria, Rio Grande do Sul, 97105-900, Brazil.
Programa de Pós-graduação em Medicina Veterinária, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Virus Genes. 2023 Dec;59(6):836-844. doi: 10.1007/s11262-023-02022-x. Epub 2023 Aug 17.
Whole-genome phylogenetic analysis, the most suitable strategy for subtyping bovine viral diarrhea virus 1 (BVDV-1) and BVDV-2, is not feasible for many laboratories. Consequently, BVDV isolates/strains have been frequently subtyped based on analysis of single genomic regions, mainly the 5' untranslated region (UTR). This approach, however, may lead to inaccurate and/or poorly statistically supported viral classification. Herein, we describe novel primer sets whose amplicons may be easily sequenced and used for BVDV subtyping. Initially, genomic regions previously described as the most suitable targets for BVDV subtyping were analyzed for design of high-coverage primers. The putative amplicons were analyzed in silico for their suitability to reproduce the phylogenetic classification of 118 BVDV-1 and 88 BVDV-2 complete/near-complete genomes (CNCGs) (GenBank). This analysis was also performed considering the region amplifiable by primers HCV90-368, 324-326 and BP189-389 (5'UTR), which have been used for BVDV diagnosis and/or classification. After confirming the agreement between the analyses of our primers' amplicon versus the CNCGs, we optimized the RT-PCRs and evaluated their performance for amplification of BVDV isolates/strains (n = 35 for BVDV-1; n = 33 for BVDV-2). Among the potential targets for BVDV subtyping, we designed high-coverage primers for NS3-NS4A (BVDV-1) (526 bp amplicon) and NS5B (BVDV-2) (728 bp). The classification based on these regions fully reproduced the subtyping of all CNCGs. On the other hand, subtyping based on the putative amplicons from primers HCV90-368, 324-326 and BP189-389 showed disagreements in relation the CNCG analysis. The NS3-NS4A and NS5B primers also allowed the amplification of all BVDV isolates/strains tested. Finally, we suggest the use of these primers in future phylogenetic and epidemiological studies of BVDVs.
全基因组系统进化分析是对牛病毒性腹泻病毒 1 型(BVDV-1)和 BVDV-2 进行亚型划分的最适合策略,但对于许多实验室来说并不可行。因此,BVDV 分离株/毒株经常根据单个基因组区域的分析进行亚型划分,主要是 5'非翻译区(UTR)。然而,这种方法可能导致病毒分类不准确和/或统计学支持不足。在此,我们描述了新的引物组,其扩增子可以轻松测序并用于 BVDV 亚型划分。最初,分析了先前描述为最适合 BVDV 亚型划分的基因组区域,以设计高覆盖率引物。在计算机上分析推定的扩增子是否适合重现 118 株 BVDV-1 和 88 株 BVDV-2 完整/近完整基因组(CNCGs)(GenBank)的系统进化分类。还考虑了可扩增引物 HCV90-368、324-326 和 BP189-389(5'UTR)的区域进行了这一分析,这些引物已用于 BVDV 的诊断和/或分类。在确认我们的引物扩增子与 CNCGs 分析之间的一致性后,我们优化了 RT-PCR 并评估了它们扩增 BVDV 分离株/毒株的性能(BVDV-1 为 35 株;BVDV-2 为 33 株)。在用于 BVDV 亚型划分的潜在靶标中,我们设计了针对 NS3-NS4A(BVDV-1)(526 bp 扩增子)和 NS5B(BVDV-2)(728 bp)的高覆盖率引物。基于这些区域的分类完全重现了所有 CNCGs 的亚型划分。另一方面,基于引物 HCV90-368、324-326 和 BP189-389 的假定扩增子进行的亚型划分与 CNCG 分析存在分歧。NS3-NS4A 和 NS5B 引物也允许扩增所有测试的 BVDV 分离株/毒株。最后,我们建议在未来的 BVDV 系统进化和流行病学研究中使用这些引物。