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Genetic evolution and epidemiological analysis of Seneca Valley virus (SVV) in China
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Seneca Valley virus (SVV) is a novel Picornaviridae that is closely
associated with porcine idiopathic vesicular disease (PIVD). Here, we
report the detection and isolation of a novel strain of SVV,
CH-GX-01-2019, from swine in Guangxi Province, China. The complete
genomic sequence of CH-GX-01-2019 exhibited 93.3 - 98.9% identify with
other SVV isolates at the nucleotide level. This new strain of SVV
showed the highest level of similarity (98.9%) with Vietnamese strains
and exhibited two consecutive mutations in the VP1 gene. Phylogenetic
analysis based on the complete genome and the VP1 gene showed that
Chinese forms of SVV can be divided into three clusters. We analyzed the
geographical distributions of SVV strains in China and found that the
epidemiology of these viruses in China is complicated; most strains are
distributed predominantly in south and central China. Between 2015 and
2019, the dominant epidemic strains of Chinese SSV changed from clusters
1 and 3 to cluster 2. CH-GX-01-2019 (cluster 3) represents a recombinant
strain from Colombia-2016 (cluster 2) and HB-CH-2016 (cluster 1). Our
findings will enhance our understanding of the prevalence and genetic
variation of SVV in the swine herds of China and provide important
insights into the molecular epidemiology of SVV.
Title: Genetic evolution and epidemiological analysis of Seneca Valley virus (SVV) in China
Description:
Seneca Valley virus (SVV) is a novel Picornaviridae that is closely
associated with porcine idiopathic vesicular disease (PIVD).
Here, we
report the detection and isolation of a novel strain of SVV,
CH-GX-01-2019, from swine in Guangxi Province, China.
The complete
genomic sequence of CH-GX-01-2019 exhibited 93.
3 - 98.
9% identify with
other SVV isolates at the nucleotide level.
This new strain of SVV
showed the highest level of similarity (98.
9%) with Vietnamese strains
and exhibited two consecutive mutations in the VP1 gene.
Phylogenetic
analysis based on the complete genome and the VP1 gene showed that
Chinese forms of SVV can be divided into three clusters.
We analyzed the
geographical distributions of SVV strains in China and found that the
epidemiology of these viruses in China is complicated; most strains are
distributed predominantly in south and central China.
Between 2015 and
2019, the dominant epidemic strains of Chinese SSV changed from clusters
1 and 3 to cluster 2.
CH-GX-01-2019 (cluster 3) represents a recombinant
strain from Colombia-2016 (cluster 2) and HB-CH-2016 (cluster 1).
Our
findings will enhance our understanding of the prevalence and genetic
variation of SVV in the swine herds of China and provide important
insights into the molecular epidemiology of SVV.
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