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. 2021 Nov 16:8:753297.
doi: 10.3389/fvets.2021.753297. eCollection 2021.

Epidemiological Analysis From 2018 to 2020 in China and Prevention Strategy of Porcine Circovirus Type 2

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Epidemiological Analysis From 2018 to 2020 in China and Prevention Strategy of Porcine Circovirus Type 2

Ying Huang et al. Front Vet Sci. .

Abstract

Porcine circovirus type 2 (PCV2) is one of the smallest known animal viruses and is the main pathogen of PCV-associated diseases (PCVAD). Epidemiological surveillance results have shown that the PCV2 infection rate is on the rise in China, thus, PCV2 disease prevention and control has become a huge challenge for the Chinese swine industry. We collected clinical samples from multiple different provinces in China from 2018 to 2020 and found that the positive rate of PCV2 was 53% (3619/6872), identity between the cloned 62 ORF2 genes was 84.4-100% and identity between the cloned 62 ORF2 sequences and reference sequence was 72.9-99.8%. Genetic evolution analysis found that PCV2d accounted for 79% (49/62 samples), PCV2a for 12.9% (8/62 samples), PCV2b for 8% (5/62 samples), and PCV2c and PCV2e genotypes were not found. However, most commercial PCV2 subunit vaccines are based on the PCV2a genotype, and there are very few vaccines based on PCV2b or PCV2d. Therefore, the homologous and heterologous protection ability of PCV2b and PCV2d Cap proteins based on the baculovirus against the PCV2b and PCV2d infections was evaluated, which is expected to design and develop excellent PCV2 protein vaccine candidates. This study found that both PCV2b and PCV2d Cap proteins can increase the level of humoral immunity and cellular immune response in mice. Importantly, both PCV2b and PCV2d cap proteins can provide homologous and heterologous protection against the PCV2b and PCV2d viruses. Overall, this study provides a reference for the prevention and control of PCVAD in mainland China and the development of PCV2 vaccines.

Keywords: PCV2b Cap; PCV2d Cap; epidemiological analysis; heterologous protection; homologous protection.

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Conflict of interest statement

All authors are employed by Wuhan Keqian Biology Co., Ltd.

Figures

Figure 1
Figure 1
PCR identification results of some positive samples. 1, DNA molecular size marker; 2–10, Partial positive samples; 11, Positive control; 12, Negative control. Arrow indicates the position of the predicted DNA size.
Figure 2
Figure 2
Identity analysis of partial sequences from PCV2 ORF2 gene.
Figure 3
Figure 3
Multiple sequence alignment of ORF2-encoded Cap protein amino acids of some strains. Epitopes are boxed.
Figure 4
Figure 4
Phylogenetic tree based on 82 PCV2 nucleotide sequences, including the 62 samples obtained in this study (not marked) and 20 strains of the different genotypes available from GenBank (PCV2a to PCV2e) (marked). The phylogenetic tree was constructed by the neighbor-joining method using the maximum composite likelihood model with MEGA v6 software.
Figure 5
Figure 5
Purified sample subjected to SDS-PAGE (A). TEM images of Bac-2bCap (B) and Bac-2dCap (C).
Figure 6
Figure 6
Homologous and heterologous immune response of PCV2d Cap protein against the PCV2b and PCV2dagainst the PCV2b and PCV2d. (A) Specific antibody levels for PCV2b and PCV2d Cap proteins at 0 dpc. (B) Detection of PCV2 DNA in serum by PCR at 14 dpc. (C) Detection of the PCV2 DNA load in serum by RT-PCR at 14 dpc. (D) Levels of IFN-γ in blood at 14 dpc. The data are presented as group mean optical density (MOD ± standard error). Significant differences are indicated by different superscripts (A–C) (p < 0.05). Data were analyzed using one-way analysis of variance with Dunnett's multiple comparisons test using GraphPad Prism 7 software (GraphPad Software, USA), ****p < 0.001.
Figure 7
Figure 7
Homologous and heterologous immune response of PCV2d Cap protein against the PCV2b and PCV2dagainst the PCV2b and PCV2d. (A) Specific antibody levels for PCV2b and PCV2d Cap proteins at 0 dpc. (B) Detection of PCV2 DNA in serum by PCR at 14 dpc. (C) Detection of the PCV2 DNA load in serum by RT-PCR at 14 dpc. (D) Levels of IFN-γ in blood at 14 dpc. The data are presented as group mean optical density (MOD ± standard error). Significant differences are indicated by different superscripts (A–C) (p < 0.05). Data were analyzed using one-way analysis of variance with Dunnett's multiple comparisons test using GraphPad Prism 7 software (GraphPad Software, USA), ****p < 0.001.

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