Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom.
MRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.
PLoS Pathog. 2022 May 2;18(5):e1010023. doi: 10.1371/journal.ppat.1010023. eCollection 2022 May.
The availability of pathogen sequence data and use of genomic surveillance is rapidly increasing. Genomic tools and classification systems need updating to reflect this. Here, rabies virus is used as an example to showcase the potential value of updated genomic tools to enhance surveillance to better understand epidemiological dynamics and improve disease control. Previous studies have described the evolutionary history of rabies virus, however the resulting taxonomy lacks the definition necessary to identify incursions, lineage turnover and transmission routes at high resolution. Here we propose a lineage classification system based on the dynamic nomenclature used for SARS-CoV-2, defining a lineage by phylogenetic methods for tracking virus spread and comparing sequences across geographic areas. We demonstrate this system through application to the globally distributed Cosmopolitan clade of rabies virus, defining 96 total lineages within the clade, beyond the 22 previously reported. We further show how integration of this tool with a new rabies virus sequence data resource (RABV-GLUE) enables rapid application, for example, highlighting lineage dynamics relevant to control and elimination programmes, such as identifying importations and their sources, as well as areas of persistence and routes of virus movement, including transboundary incursions. This system and the tools developed should be useful for coordinating and targeting control programmes and monitoring progress as countries work towards eliminating dog-mediated rabies, as well as having potential for broader application to the surveillance of other viruses.
病原体序列数据的可用性和基因组监测的使用正在迅速增加。基因组工具和分类系统需要更新,以反映这一点。在这里,狂犬病病毒被用作一个例子,展示了更新的基因组工具的潜在价值,以加强监测,更好地了解流行病学动态,并改善疾病控制。以前的研究已经描述了狂犬病病毒的进化历史,然而,由此产生的分类法缺乏必要的定义,无法以高分辨率识别入侵、谱系更替和传播途径。在这里,我们提出了一个基于 SARS-CoV-2 使用的动态命名法的谱系分类系统,通过追踪病毒传播的系统发育方法定义谱系,并比较跨地理区域的序列。我们通过在全球分布的狂犬病病毒普遍谱系中应用该系统来证明这一系统,在该谱系中定义了 96 个总谱系,而不仅仅是之前报道的 22 个。我们进一步展示了如何将该工具与新的狂犬病病毒序列数据资源(RABV-GLUE)集成,以便快速应用,例如,突出与控制和消除计划相关的谱系动态,例如识别进口及其来源,以及病毒传播的持续存在和途径,包括跨界入侵。该系统和开发的工具应该有助于协调和针对控制计划,并监测各国在消除犬介导的狂犬病方面的进展,以及在监测其他病毒方面具有潜在的应用。