Literature DB >> 33466539

Characterization of Novel Rhabdoviruses in Chinese Bats.

Dong-Sheng Luo1,2,3, Bei Li1, Xu-Rui Shen1,2, Ren-Di Jiang1,2, Yan Zhu1, Jia Wu1, Yi Fan1,2, Hervé Bourhy3, Ben Hu1, Xing-Yi Ge4, Zheng-Li Shi1,2, Laurent Dacheux3.   

Abstract

Bats, the second largest order of mammals worldwide, harbor specific characteristics such as sustaining flight, a special immune system, unique habits, and ecological niches. In addition, they are the natural reservoirs of a variety of emerging or re-emerging zoonotic pathogens. Rhabdoviridae is one of the most diverse families of RNA viruses, which consists of 20 ecologically diverse genera, infecting plants, mammals, birds, reptiles, and fish. To date, three bat-related genera are described, named Lyssavirus, Vesiculovirus, and Ledantevirus. However, the prevalence and the distribution of these bat-related rhabdoviruses remain largely unknown, especially in China. To fill this gap, we performed a large molecular retrospective study based on the real-time reverse transcription polymerase chain reaction (RT-qPCR) detection of lyssavirus in bat samples (1044 brain and 3532 saliva samples, from 63 different bat species) originating from 21 provinces of China during 2006-2018. None of them were positive for lyssavirus, but six bat brains (0.6%) of Rhinolophus bat species, originating from Hubei and Hainan provinces, were positive for vesiculoviruses or ledanteviruses. Based on complete genomes, these viruses were phylogenetically classified into three putative new species, tentatively named Yinshui bat virus (YSBV), Taiyi bat virus (TYBV), and Qiongzhong bat virus (QZBV). These results indicate the novel rhabdoviruses circulated in different Chinese bat populations.

Entities:  

Keywords:  China; RT-qPCR; bat; brain; complete genome; ledantevirus; lyssavirus; phylogeny; rhabdovirus; vesiculovirus

Year:  2021        PMID: 33466539      PMCID: PMC7824899          DOI: 10.3390/v13010064

Source DB:  PubMed          Journal:  Viruses        ISSN: 1999-4915            Impact factor:   5.048


  74 in total

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