Animal Health Trust, Newmarket, UK.
Present address: Technology Networks, Sudbury, UK.
Microb Genom. 2021 Mar;7(3). doi: 10.1099/mgen.0.000528. Epub 2021 Mar 8.
The equine disease strangles, which is characterized by the formation of abscesses in the lymph nodes of the head and neck, is one of the most frequently diagnosed infectious diseases of horses around the world. The causal agent, subspecies , establishes a persistent infection in approximately 10 % of animals that recover from the acute disease. Such 'carrier' animals appear healthy and are rarely identified during routine veterinary examinations pre-purchase or transit, but can transmit to naïve animals initiating new episodes of disease. Here, we report the analysis and visualization of phylogenomic and epidemiological data for 670 isolates of recovered from 19 different countries using a new core-genome multilocus sequence typing (cgMLST) web bioresource. Genetic relationships among all 670 S. isolates were determined at high resolution, revealing national and international transmission events that drive this endemic disease in horse populations throughout the world. Our data argue for the recognition of the international importance of strangles by the Office International des Épizooties to highlight the health, welfare and economic cost of this disease. The Pathogenwatch cgMLST web bioresource described herein is available for tailored genomic analysis of populations of and its close relative subspecies that are recovered from horses and other animals, including humans, throughout the world. This article contains data hosted by Microreact.
马的传染病肿疽,其特征是头部和颈部淋巴结形成脓肿,是世界范围内最常诊断出的马的传染病之一。病原体亚种在大约 10%从急性疾病中恢复的动物中建立持续感染。这些“携带者”动物看起来健康,在购买前或运输过程中的常规兽医检查中很少被发现,但可以传播给易感染的动物,引发新的疾病发作。在这里,我们使用新的核心基因组多位点序列分型(cgMLST)网络资源,分析和可视化了来自 19 个不同国家的 670 株恢复的分离株的系统发生基因组和流行病学数据。对所有 670 株 S. 分离株的遗传关系进行了高分辨率的确定,揭示了国家和国际传播事件,这些事件推动了这种地方性疾病在世界各地的马群中流行。我们的数据表明,国际动物卫生组织(OIE)应认识到肿疽的国际重要性,以强调这种疾病对马的健康、福利和经济成本的影响。本文描述的 Pathogenwatch cgMLST 网络资源可用于对从世界各地的马和其他动物(包括人类)中分离出的 及其近亲亚种进行人群基因组分析。这篇文章包含了由 Microreact 托管的数据。