| Literature DB >> 35739924 |
Dengjin Chen1, Yi Huang1, Yating Guo1, Lihong Wang1, Yongning Zhang1, Lei Zhou1, Xinna Ge1, Jun Han1, Xin Guo1, Hanchun Yang1.
Abstract
Porcine circovirus 3 (PCV3) is an emerging virus, causing substantial economic losses in pig populations, that was first detected in 2016. Furthermore, the virus has already been reported in Europe, the Americas, and Asia, including China, indicating that the virus has spread worldwide. However, the molecular epidemiology of PCV3 still needs further study. To investigate PCV3 epidemiological characteristics in China, 2707 serum samples of pigs were randomly collected from 17 provinces in China between September 2018 and March 2022 and analyzed via PCR assays. The study showed that PCV3 infection was prevalent in the overall population with 31.07% (841/2707) and 100.0% (17/17) at sample and province levels, respectively, though the positivity rate of PCV3 varied from 7.41 to 70.0% in different provinces, suggesting that PCV3 infection has a widespread distribution in China. We selected 22 serum samples from different regions that had high levels of viral DNA for amplification and sequenced their ORF2 (Cap) gene. According to the phylogenetic analysis, all isolates in the current study could be grouped into two separate subclades, with 15 strains belonging to clade 3a and 7 strains belonging to clade 3b, indicating that PCV3a and PCV3b were the predominant subtypes in the regions of China studied. Meanwhile, additional analysis revealed that the capsid gene sequences identified in this study displayed 97.46~99.8% nucleotide (nt) and 97.06~100% amino acid (aa) sequence similarity with other PCV3 available reference strains, respectively. In general, our studies provide important insights for understanding the prevalence and evolution of PCV3 in China and will guide future efforts to develop measures for preventing and controlling the disease.Entities:
Keywords: phylogenetic analysis; porcine circovirus 3; prevalence
Year: 2022 PMID: 35739924 PMCID: PMC9219504 DOI: 10.3390/ani12121588
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 3.231
Figure 1PCV3 strains’ geographical distribution by province in China. Color markers represent PCV3-positive provinces and the corresponding positive rate in this study, whereas light gray indicates that PCV3 detection has not been carried out in these provinces.
Prevalence of PCV3 in serum samples from different provinces of China by PCR.
| Scheme | Sample Numbers | Positive Samples | Positive Rate (%) |
|---|---|---|---|
| Hebei | 587 | 106 | 18.06 |
| Guangdong | 399 | 59 | 14.79 |
| Henan | 362 | 77 | 21.27 |
| Shandong | 270 | 20 | 7.41 |
| Guangxi | 222 | 148 | 66.67 |
| Hubei | 136 | 65 | 47.79 |
| Sichuan | 129 | 85 | 65.89 |
| Inner Mongolia | 119 | 56 | 47.06 |
| Gansu | 91 | 50 | 54.95 |
| Shanxi | 89 | 37 | 41.57 |
| Yunnan | 71 | 35 | 49.30 |
| Jiangxi | 55 | 17 | 30.91 |
| Guizhou | 53 | 35 | 66.04 |
| Beijing | 44 | 16 | 36.36 |
| Tianjin | 36 | 12 | 33.33 |
| Hunan | 34 | 16 | 47.06 |
| Jiangsu | 10 | 7 | 70.00 |
| Total | 2707 | 841 | 31.07 |
Figure 2Phylogenetic analysis of the ORF2 gene of PCV3 strains. The PCV3 sequences were aligned by using Lasergene software with the Clustal W program for homology analysis. The evolutionary history was inferred by using the neighbor-joining method in MEGA11 software [24], and an ML tree by using over 10,000 bootstrap iterations to represent the evolutionary history of the taxa analyzed [25]. This analysis involved 46 nucleotide sequences, including the 22 PCV3 strains identified in our study and 24 PCV3 reference strains downloaded from the NCBI. Red circles represent PCV3 strains obtained in this study.