Department of Biological Science and Environmental Studies, College of Science and Mathematics, University of the Philippines Mindanao, Davao City 8000, Philippines.
Davao City Veterinarian's Office, Davao City 8000, Philippines.
Viruses. 2023 Jul 30;15(8):1658. doi: 10.3390/v15081658.
Rabies, caused by the rabies virus (RABV), remains a significant public health issue in the Philippines despite efforts to control it. To eliminate rabies by 2030, effective surveillance strategies are crucial. In this study, we examined RABV evolution and phylodynamics in the Davao Region using genome sequences from Davao City and nearby provinces. We adapted the RABV ARTIC Protocol for Oxford Nanopore High-Throughput Sequencing to optimize workflow efficiency under limited resources. Comparing new virus samples collected from June 2019 to June 2021 ( = 38) with baseline samples from June 2018 to May 2019 ( = 49), new sub-clades were observed in the phylogenetic tree, suggesting divergence from older variants that were previously undetected. Most of the new viruses belonged to the Asian SEA4_A1.1.1 lineage, but new (SEA4_B1 and SEA4_B1.1) and emerging (SEA4_B1.1_E1) lineages that have never been reported in the Philippines were also identified. The baseline study reported phylogeographic clustering of RABV isolates from the same areas. However, this pattern was disrupted in the current biosurveillance, with variants detected in areas outside the original cluster. Furthermore, our findings revealed significant transmission routes between Davao City and neighboring provinces, contrasting with the predominantly intra-city transmission observed in the baseline study. These results underscore the need for ongoing and timely genomic surveillance to monitor genetic diversity changes and the emergence of novel strains, as well as to track alterations in transmission pathways. Implementing cost-effective next-generation sequencing workflows will facilitate the integration of genomic surveillance into rabies control programs, particularly in resource-limited settings. Collaborations between different sectors can empower local laboratories and experts in genomic technologies and analysis.
狂犬病是由狂犬病病毒(RABV)引起的,尽管菲律宾一直在努力控制它,但它仍然是一个严重的公共卫生问题。为了在 2030 年前消除狂犬病,有效的监测策略至关重要。在这项研究中,我们使用来自达沃市和附近省份的基因组序列,研究了达沃地区 RABV 的进化和系统发育动力学。我们适应了 RABV ARTIC 协议,用于牛津纳米孔高通量测序,以在资源有限的情况下优化工作流程效率。将 2019 年 6 月至 2021 年 6 月(= 38)新采集的病毒样本与 2018 年 6 月至 2019 年 5 月(= 49)的基线样本进行比较,在系统发育树上观察到新的亚群,表明与先前未检测到的旧变体发生了分化。大多数新病毒属于亚洲 SEA4_A1.1.1 谱系,但也鉴定到了从未在菲律宾报告过的新(SEA4_B1 和 SEA4_B1.1)和新兴(SEA4_B1.1_E1)谱系。基线研究报告了来自同一地区的 RABV 分离株的系统地理聚类。然而,在当前的生物监测中,这种模式被打破了,在原始聚类之外的区域检测到了变体。此外,我们的研究结果表明,在达沃市和邻近省份之间存在显著的传播途径,与基线研究中观察到的主要是城市内传播的模式形成对比。这些结果强调了需要进行持续和及时的基因组监测,以监测遗传多样性的变化和新型菌株的出现,以及跟踪传播途径的变化。实施具有成本效益的下一代测序工作流程将有助于将基因组监测纳入狂犬病控制计划,特别是在资源有限的环境中。不同部门之间的合作可以赋予当地实验室和专家以基因组技术和分析方面的能力。