| Literature DB >> 31281300 |
Yongsheng Xie1, Xiaoru Wang2, Danping Su1, Junsen Feng1, Liuming Wei1, Weiyou Cai1, Jinhui Li1, Shaorong Lin1, He Yan2, Dongsheng He1.
Abstract
Atypical porcine pestivirus (APPV) is an RNA virus newly discovered from swine in Asia, Europe, and the Americas. This novel virus has been confirmed as the cause of congenital tremor (CT) in piglets, which causes extensive economic losses to the swine industry. To investigate the genetic diversity and evolutionary relationship of APPV in China, 83 piglet samples with severe CT clinical signs were obtained from 12 commercial swine farms in 3 provinces of Southern China. RT-PCR revealed that the positive rates of APPV were as high as 100% (12/12) for the swine farms and 90.4% (75/83) for the samples. Subsequently, 21 positive samples and 3 positive samples were selected for partial E2 gene and complete polyprotein gene sequencing, respectively. Phylogenetic analysis showed that 62.5% of the sequences belonged to a novel APPV clade provisionally named genotype 3, which showed 81.0-82.1% sequence identity to genotypes 1 and 2. Amino acid sequence alignment showed that E2 protein of genotype 3 has three specific mutation sites, namely I19V, Y82F, and N107G. The results of the present study demonstrate that a novel APPV subgenotype, which is widely distributed in severe CT clinical samples in Southern China, was genetically diverse. We advocate for the inclusion of genotype 3 during revision of the APPV typing method.Entities:
Keywords: APPV; Southern China; atypical porcine pestivirus; congenital tremor; genotype 3; phylogenetic analysis; piglets
Year: 2019 PMID: 31281300 PMCID: PMC6596314 DOI: 10.3389/fmicb.2019.01406
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Clinical samples collected between 2017 and 2018 in Southern China and results of APPV detection using RT-PCR.
| Collection date | Geographical location | Farm ID | Age (days) | Sample type | Clinical signs | Number of samplesx | Number of APPV |
|---|---|---|---|---|---|---|---|
| 2017.05.31 | Anhui | A | 1 | Tissues† | CT‡ | 7 | 6 |
| 2017.06.01 | Guangdong | B | 1 | Tissues | CT | 3 | 3 |
| 2017.06.17 | Guangdong | C | 4 | Tissues | CT | 7 | 6 |
| 2018.08.10 | Guangdong | D | 2 | Tissues | CT | 6 | 4 |
| 2017.09.04 | Guangdong | E | 1 | Tissues | CT | 16 | 16 |
| 2017.09.27 | Guangdong | F | 1 | Tissues | CT | 5 | 5 |
| 2017.10.14 | Guangdong | G | 1 | Tissues | CT | 6 | 6 |
| 2017.11.01 | Jiangxi | H | 3 | Tissues | CT | 6 | 6 |
| 2017.11.07 | Guangdong | I | 5 | Tissues | CT | 5 | 4 |
| 2017.12.08 | Guangdong | J | 4 | Tissues | CT | 5 | 3 |
| 2017.12.13 | Guangdong | K | 1 | Tissues | CT | 9 | 8 |
| 2018.03.16 | Guangdong | L | 3 | Tissues | CT | 8 | 8 |
| Total | – | 12 | – | – | – | 83 | 75 (90.4%) |
Primers used for the detection of APPV and amplification of the complete polyprotein gene.
| Primer name | Nucleotide sequence (5′ to 3′) | Product size (bp) | Purpose |
|---|---|---|---|
| APPV-4298-F0 | CTCACYAGTGATGGGTGGGA | 450 | Detection and genome sequencing |
| APPV-4748-R0 | CCTATYTTCTTCATGAAYACCATGGC | ||
| APPV-335-F1 | GGCGGATGCCTCRGGTAAGA | 1937 | Genome sequencing |
| APPV-2271-R1 | TGGYTTCACRCATACCCACTGG | ||
| APPV-1837-F2 | TTYTTAGACACYATTGGGAGG | 788 | Genome sequencing |
| APPV-2624-R2 | ACCATWTTTATCTGYTCCATT | ||
| APPV-2250-F3 | CCAGTGGGTATGYGTGAARCC | 2025 | Genome sequencing |
| APPV-4274-R3 | ATAAGRGAGTCATTCTTCTTWGC | ||
| APPV-3380-F4 | TTAGGCTTGTCGGAGGTAGTG | 1300 | Genome sequencing |
| APPV-4679-R4 | TAGCATAAGGCATTGTCGGG | ||
| APPV-4640-F5 | TGAAGACTGACCAGAAAGCAC | 1393 | Genome sequencing |
| APPV-6032-R5 | TCATCTACRTCATARAGACCCC | ||
| APPV-5995-F6 | ATAATGAATGAGGACTGGGG | 1228 | Genome sequencing |
| APPV-7222-R6 | AAGCGACCTGYGTGACAAGAC | ||
| APPV-6860-F7 | TAGCATTTGGTGAAAGAGAAYTG | 1569 | Genome sequencing |
| APPV-8428-R7 | TACCATTGACTAAATAACAGGGG | ||
| APPV-8188-F8 | GACAAAATACAYTTYTGGAAAGCAC | 1846 | Genome sequencing |
| APPV-10033-R8 | CCCACTTGTACATWATTTTGGTGAT | ||
| APPV-9898-F9 | ATGCCMAAAAATGAGAAAAGRGA | 1569 | Genome sequencing |
| APPV-11466-R9 | CTCCATTCATTCAAGTATTTACAACA |
Nucleotide identity (%) of three complete ORF sequences with 30 published reference sequences available in GenBank.
| Sequence name | GD-YJHSEY2N | GD-YJHSEY3N | GD-LDCT1 | MH493896 China | MH493895 China | MH493894 China | Genotype |
|---|---|---|---|---|---|---|---|
| GD-YJHSEY2N | – | 99.9 | 81.2 | 84.2 | 83.0 | 80.9 | Genotype 2 |
| GD-YJHSEY3N | 99.9 | – | 81.2 | 84.1 | 83.0 | 80.9 | |
| GD-LDCT1 | 81.2 | 81.2 | – | 94.1 | 96.6 | 98.7 | Genotype 3 |
| MF167290 Germany | 83.6 | 83.6 | 82.0 | 82.4 | 82.1 | 82.0 | Genotype 1 |
| MF167291 Germany | 83.6 | 83.6 | 82.0 | 82.4 | 82.1 | 81.9 | |
| LT594521 Germany | 83.6 | 83.5 | 82.1 | 82.3 | 82.2 | 82.1 | |
| MH499643 China | 83.3 | 83.3 | 81.5 | 82.0 | 81.4 | 81.4 | |
| MH499647 China | 83.3 | 83.3 | 81.6 | 82.1 | 81.5 | 81.4 | |
| KU194229 United States | 83.2 | 83.2 | 81.6 | 82.1 | 81.6 | 81.5 | |
| KX929062 Netherlands | 83.3 | 83.3 | 82.1 | 82.5 | 82.0 | 81.9 | |
| KU041639 Germany | 83.6 | 83.6 | 81.6 | 82.0 | 81.8 | 81.6 | |
| KX778724 Austria | 83.4 | 83.5 | 81.9 | 82.3 | 82.0 | 81.7 | |
| KY624591 China | 83.4 | 83.5 | 81.4 | 82.1 | 81.7 | 81.3 | |
| MF979135 Korea | 83.6 | 83.7 | 81.7 | 82.1 | 81.8 | 81.3 | |
| MG792803 China | 84.4 | 84.4 | 81.6 | 82.1 | 81.4 | 81.2 | |
| KY652092 China | 83.3 | 83.3 | 81.5 | 82.2 | 81.5 | 81.3 | |
| KY475592 China | 83.5 | 83.5 | 81.5 | 82.2 | 81.5 | 81.3 | |
| MH715893 China | 83.5 | 83.4 | 81.5 | 82.1 | 81.5 | 81.3 | |
| MH499646 China | 83.3 | 83.3 | 81.4 | 82.1 | 81.4 | 81.2 | |
| MH499645 China | 83.4 | 83.3 | 81.5 | 82.2 | 81.5 | 81.3 | |
| KR011347 United States | 83.5 | 83.5 | 81.7 | 82.0 | 81.4 | 81.5 | |
| MF377344 China | 83.1 | 83.1 | 81.3 | 82.0 | 81.4 | 81.2 | |
| MH102210 China | 83.0 | 83.0 | 81.2 | 81.9 | 81.2 | 81.0 | |
| KY475593 China | 94.7 | 94.6 | 81.0 | 83.9 | 82.3 | 80.8 | Genotype 2 |
| MH499642 China | 96.2 | 96.2 | 81.2 | 84.1 | 82.6 | 80.9 | |
| MH499644 China | 96.4 | 96.4 | 81.2 | 84.2 | 82.6 | 80.9 | |
| MH499648 China | 96.8 | 96.8 | 81.1 | 84.0 | 82.5 | 80.8 | |
| KX950761 China | 99.5 | 99.5 | 81.1 | 84.0 | 82.9 | 80.8 | |
| KX950762 China | 99.6 | 99.5 | 81.1 | 84.0 | 83.0 | 80.8 | |
| KY612413 China | 99.5 | 99.4 | 81.0 | 84.0 | 82.9 | 80.8 | |
| MH493896 China | 84.2 | 84.1 | 94.1 | – | 95.3 | 94.1 | Genotype 3 |
| MH493895 China | 83.0 | 83.0 | 96.6 | 95.3 | – | 97.5 | |
| MH493894 China | 80.9 | 80.9 | 98.7 | 94.1 | 97.5 | – |
FIGURE 1Polyprotein amino acid of APPV alignment by Megalign software available in DNASTAR (http://www.dnastar.com/). Amino acid deletion and insertion regions of the four reference sequences are indicated using rectangular boxes. (A) MH499648 (genotype 2) has a lysine inserted at position 653 of the polyprotein. (B) MG792803 (genotype 1) has a tyrosine inserted at position 3533. (C) MH499645 (genotype 1) has five amino acids (serine, leucine, valine, arginine, and threonine) inserted at position 1810. (D) MH499647 (genotype 1) with a deletion of glycine at position 945.
FIGURE 2Phylogenetic trees based on the sequences encoding the polyprotein of APPV. Three complete ORF sequences obtained in this study are marked with black triangles. Published sequences, including 30 complete APPV sequences, were downloaded from the GenBank database. MEGA 6.0 software was used to construct the neighbor-joining (NJ) phylogenetic trees using a p-distance method with a bootstrap of 1,000 replicates.
FIGURE 3Phylogenetic trees based on the partial sequences (633 bp) of the E2 gene. E2 gene sequences obtained in this study are marked with black triangles. Published sequences, including 46 E2 gene sequences, were downloaded from the GenBank database. MEGA 6.0 software was used to construct the NJ phylogenetic trees using a p-distance method with a bootstrap of 1,000 replicates.
FIGURE 4Molecular feature analysis of APPV E2 protein (partial, 211 amino acids). Four specific amino acid mutation sites (I19V, S39T, Y82F, and N107G), which are used for different APPV genotype divisions, are depicted using rectangular boxes. Panel (A) displayed is the alignment of the 106 amino acid sequence at the front end of E2 gene. Panel (B) displayed is the alignment of the 105 amino acid sequences at the end of E2 gene.