背景:缓存谷病毒(CVV)是一种研究不足的正双头病毒,由于其广泛的地理分布和大量的相关宿主和载体,具有很高的溢出传播潜力。尽管众所周知CVV在整个北美广泛分布,没有研究探索其地理或采用计算方法来探索可能参与CVV轮回周期的哺乳动物和蚊子物种。
方法:我们使用文献综述和在线数据库来编译CVV及其潜在载体和宿主的局部性数据。我们通过生态位建模将位置数据点与气候数据相关联,以估计CVV的地理范围和传播风险的热点。我们使用背景相似性测试来识别可能的CVV蚊媒和哺乳动物宿主,以检测CVVsylvatic传播的生态信号。
结果:CVV分布图揭示了整个北美广泛的潜在病毒发生。生态位模型确定了有气候的区域,向量,和主机适合保持CVV传输。我们的背景相似性测试确定了伊蚊,Culisetetainornata,和库蚊是最可能的媒介,而Odocoileusvirginianus(白尾鹿)是最可能的宿主。
结论:CVV具有大陆级别,广泛的传播潜力。北美大部分地区都有适宜的气候,向量,和CVV出现的宿主,建立,和传播。我们确定了迄今为止尚未确认CVV报告的地理热点,鉴于CVV误诊或漏报,可以指导未来对特定地区和物种的监测。
BACKGROUND: Cache Valley virus (CVV) is an understudied Orthobunyavirus with a high spillover transmission potential due to its wide geographical distribution and large number of associated hosts and vectors. Although CVV is known to be widely distributed throughout North America, no studies have explored its geography or employed computational methods to explore the mammal and mosquito species likely participating in the CVV sylvatic cycle.
METHODS: We used a literature review and online databases to compile locality data for CVV and its potential vectors and hosts. We linked location data points with climatic data via ecological niche modeling to estimate the geographical range of CVV and hotspots of transmission risk. We used background similarity tests to identify likely CVV mosquito vectors and mammal hosts to detect ecological signals from CVV sylvatic transmission.
RESULTS: CVV distribution maps revealed a widespread potential viral occurrence throughout North America. Ecological niche models identified areas with climate, vectors, and hosts suitable to maintain CVV transmission. Our background similarity tests identified Aedes vexans, Culiseta inornata, and Culex tarsalis as the most likely vectors and Odocoileus virginianus (white-tailed deer) as the most likely host sustaining sylvatic transmission.
CONCLUSIONS: CVV has a continental-level, widespread transmission potential. Large areas of North America have suitable climate, vectors, and hosts for CVV emergence, establishment, and spread. We identified geographical hotspots that have no confirmed CVV reports to date and, in view of CVV misdiagnosis or underreporting, can guide future surveillance to specific localities and species.