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Detection of a new emerging strain of rabbit haemorrhagic disease virus 2 (GI.2) in China Cover

Detection of a new emerging strain of rabbit haemorrhagic disease virus 2 (GI.2) in China

Open Access
|Sep 2022

Abstract

Introduction

In May 2020, an outbreak of rabbit haemorrhagic disease 2 (RHD2) caused by the rabbit haemorrhagic disease virus 2 (RHDV2, GI.2) occurred in Sichuan, China. The acute onset and short disease course resulted in rabbit mortality as high as 42.86%. Currently, basic research on the aetiology and genetic characteristics of GI.2 is lacking in China.

Material and Methods

Pathological changes in various tissues from infected rabbits were investigated and the viral genome was characterised. This study used RT-PCR, histopathology and scanning electron microscopy to identify the pathogen in samples from infected rabbits that had died. Phylogenetic trees were constructed based on whole genome sequence analysis, and recombination events were analysed.

Results

RT-PCR identified the presence of GI.2. Histopathology revealed liver cell necrosis and haemorrhaging into lung alveoli. Electron microscopy demonstrated spherical GI.2 particles that were 40 nm in size. The gene sequence length of the isolate was 7,445 bp (GenBank accession number MW178244). A phylogenetic analysis based on the genome of the isolated strain and 60 reference strains showed that the isolate was grouped together with GI.2 strain MT586027.1 in a relatively independent sub-branch. The results of the recombination analysis showed that the strain was recombined from the MT586027.1 (major parent) and MN90145.1 (minor parent) strains, and recombination breakpoints were at locations in the 2858–5137 nt range.

Conclusion

The results of this study extend our understanding of the molecular epidemiology of GI.2.

Language: English
Page range: 289 - 295
Submitted on: Mar 10, 2022
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Accepted on: Aug 30, 2022
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Published on: Sep 14, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Wanting Chen, Teng Tu, Yan Luo, Zexiao Yang, Xueping Yao, Xulong Wu, Yin Wang, published by National Veterinary Research Institute in Pulawy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.