Virome analysis and detection of ticks and tick-borne viruses in Shanghai, China
Wenbo Zeng, Limin Yang, Lei Cui, Chuntao Liang, Dan Zhu, Yuan Fang, Yi Zhang, Hongxia Liu
Fudan University National Institute for Parasitic Diseases National Health and Family Planning Commission National Marine Environmental Forecasting Center
内容与影响
Introduction Ticks are well-known ectoparasites and vectors responsible for transmitting a diverse range of pathogens, including viruses, bacteria, and protozoa, many of which pose substantial risks to public health and livestock. In recent decades, the incidence and diversity of tick-borne diseases have increased globally, with several novel tick-borne viruses (TBVs) being discovered. Methods This study aimed to characterize the virome of ticks collected from various locations in Shanghai, China, using next-generation sequencing (NGS). A total of 2,568 ticks belonging to three dominant species— Haemaphysalis flava , Haemaphysalis longicornis , and Rhipicephalus sanguineus sensu lato —were collected and analyzed through metagenomic sequencing. Results The sequencing analysis identified 214 viral contigs classified into 32 viral families, including Chrysoviridae, Phenuiviridae, Partitiviridae, Nairoviridae, Dicistroviridae, Reoviridae, Botourmiaviridae, and Flaviviridae. Several TBVs with potential relevance to human and animal health, such as Cheeloo Jingmen-like virus (CJLV), Songling virus (SGLV), brown dog tick phlebovirus 1 (BDTPV1), brown dog tick phlebovirus 2 (BDTPV2), and Wuhan mosquito virus 1 (WMV1), were detected. Significant differences in virome composition among tick species based on geographical locations were also observed. Discussion These findings highlight the influence of environmental factors on viral diversity in ticks and underscore the need for ongoing surveillance of TBVs. Implementation of longitudinal virome monitoring across tick developmental stages in Shanghai will provide critical insights for early warning systems, disease prevention strategies, and public health interventions.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
回答优先基于摘要、文献信息与可获取全文;依据不足时会明确说明。
学术脉络
学科主题
生物医学Viral Infections and Vectors
Zoonotic diseases and public health · Vector-Borne Animal Diseases
参考文献 54
此处列出前 3 条
施引文献 3
按被引量排序,此处列出前 3 条