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. 2025 Jul 28;17(8):1049.
doi: 10.3390/v17081049.

Detection of Porcine Circovirus Type 3 in Free-Ranging Wild Boars and Ticks in Jiangsu Province, China

Affiliations

Detection of Porcine Circovirus Type 3 in Free-Ranging Wild Boars and Ticks in Jiangsu Province, China

Fanqi Sun et al. Viruses. .

Abstract

Porcine circovirus type 3 (PCV3) has been detected in wild boars across many countries in Europe, Asia, and South America. However, data regarding the presence of porcine circoviruses in wild boars and ticks remain limited. In this study, we investigated the presence and genetic characteristics of PCV3 in wild boars and parasitizing ticks in Jiangsu, China. Samples, including whole blood, serum, tissues, feces, and oral fluids from wild boars, as well as ticks collected from 47 wild boars, were obtained between March 2021 and November 2022. PCR results indicated that 34.0% (16/47) of wild boars tested positive for PCV3, while ELISA detected 41.9% (18/43) seropositivity. RT-qPCR results showed that 7.2% (6/83) were positive for PCV3 in 83 analyzed tick samples, with all positive samples identified as Amblyomma testudinarium. The PCV3 genome obtained from wild boars was classified as PCV3a and was closely related to the strain identified in domestic pigs in Nanjing, Jiangsu Province. Collectively, these findings confirm the presence of PCV3 in wild boars in Jiangsu and suggest a possible link of PCV3 infection among domestic pigs, wild boars, and ticks, providing new insights into the transmission risk of PCV3 at wildlife-livestock-human interfaces and highlighting the genetic homology between strains from wild and domestic pigs.

Keywords: PCV3; detection; genome sequence analysis; ticks; wild boar.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Distribution of captured wild boars and swine farms (≥50 heads) in Nanjing, Jiangsu Province. Two PCV3-positive and two PCV3-negative wild boars lacked coordinate data. The map was constructed with QGIS software version 3.20 (QGIS, 2020). The dark red area represents Nanjing City, and the light red area indicates Jiangsu Province.
Figure 2
Figure 2
Phylogenetic trees based on the complete genome of PCV3 and constructed by the maximum-likelihood method in MEGA X software. Bootstrap values were based on 1000 replicates and showed each node if >70%. The PCV3/CN/Nanjing/WB/2021 strain identified in this study is highlighted with a black rectangle.

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