de Souza Godinho Fernanda Marques, Campos Aline, Huff Rosana, Ruivo Amanda Pellenz, Bermann Thales, Bauerman Milena, Dos Santos Franciellen Machado, Selayaran Taina Machado, Correa Artur Beineke, Dos Santos Raissa Nunes, Roehe Paulo Michel, da Luz Wallau Gabriel, Salvato Richard Steiner
Centro Estadual de Vigilância em Saúde, Secretaria de Saúde do Estado do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil.
J Virol Methods. 2025 Apr;333:115097. doi: 10.1016/j.jviromet.2024.115097. Epub 2024 Dec 7.
Rabies virus (RABV), remains a significant public health concern, with bat-maintained lineages accounting for all currently documented cases in Brazil. Despite the availability of pharmacological prophylaxis for humans and animals, the high genetic diversity of RABV in diverse natural bat hosts and continued circulation in multiple animals pose challenges for effective surveillance. Here, we developed and validated a novel, rapidly deployable amplicon-based sequencing approach for RABV genomic surveillance. This "all-in-one" protocol integrates whole RABV genome sequencing with host species identification through COI gene amplification and sequencing, addressing the challenges posed by RABV's high genetic diversity and complex transmission dynamics. We assessed the protocol's effectiveness by sequencing 25 near-complete RABV genomes from host species across four distinct families (Bovidae, Equidae, Felidae, and Microchiroptera) obtained from the Rabies Control and Surveillance Program from the Rio Grande do Sul State, Southern Brazil. The method achieved an average genome coverage of 91.4 % at a minimum 5x read depth, with a mean depth coverage of 816x across sequenced genomes. The results demonstrated significant Bat-Clade sublineage diversity, which was classified using the MADDOG RABV lineage system. The protocol successfully identified three bat species (Tadarida brasiliensis, Desmodus rotundus, and Myotis nigricans) among the samples, highlighting its capability for precise host identification. This study presents a powerful tool for high-resolution evaluation of RABV genomic features and host identification, enabling more targeted animal and human health interventions. This new approach has the potential to enhance RABV surveillance capabilities, contributing to more effective rabies control strategies within a One Health framework.
狂犬病病毒(RABV)仍然是一个重大的公共卫生问题,在巴西,所有目前记录在案的病例均由蝙蝠传播的谱系引起。尽管有针对人类和动物的药物预防措施,但RABV在不同天然蝙蝠宿主中的高遗传多样性以及在多种动物中的持续传播,给有效的监测带来了挑战。在此,我们开发并验证了一种用于RABV基因组监测的新型、可快速部署的基于扩增子的测序方法。这种“一体化”方案将完整的RABV基因组测序与通过COI基因扩增和测序进行宿主物种鉴定相结合,解决了RABV高遗传多样性和复杂传播动态带来的挑战。我们通过对来自巴西南部南里奥格兰德州狂犬病控制与监测项目的四个不同科(牛科、马科、猫科和小蝙蝠亚目)宿主物种的25个近乎完整的RABV基因组进行测序,评估了该方案的有效性。该方法在最低5倍读长深度下实现了平均91.4%的基因组覆盖率,测序基因组的平均深度覆盖率为816倍。结果显示出显著的蝙蝠进化枝亚谱系多样性,这是使用MADDOG RABV谱系系统进行分类的。该方案成功鉴定出样本中的三种蝙蝠物种(巴西无尾蝠、吸血蝠和黑鼠耳蝠),突出了其精确鉴定宿主的能力。本研究提出了一种用于高分辨率评估RABV基因组特征和宿主鉴定的强大工具,能够实现更具针对性的动物和人类健康干预。这种新方法有可能增强RABV监测能力,有助于在“同一个健康”框架内制定更有效的狂犬病控制策略。