Skip to main content

Pigs in southern Italy are exposed to three ruminant pathogens: an analysis of seroprevalence and risk factors analysis study

Abstract

Background

Pigs are susceptible to several ruminant pathogens, including Coxiella burnetti, Schmallenberg virus (SBV) and bovine viral diarrhea virus (BVDV). These pathogens have already been described in the pig population, although the dynamics of the infection and the impact on pig farms are currently unclear. The aim of this work was to evaluate the presence of these infections in the pig population of the Campania region, southern Italy, and to evaluate the risk factors associated with a greater risk of exposure.

Results

A total of 414 serum samples belonging to 32 herds were tested for the presence of antibodies against SBV, Coxiella, and BVD using commercial multispecies ELISA kits. SBV (5.3%) was the most prevalent pathogen, followed by Coxiella (4.1%) and BVD (3%). The risk factors included in the study (age, sex, province, farming system, ruminant density and major ruminant species) had no influence on the probability of being exposed to BVD and Coxiella, except for the location, in fact more pigs seropositive to Coxiella were found in the province of Caserta. However, the univariate analysis highlighted the influence of age, location, and sex on exposure to SBV. The subsequent multivariate analysis statistically confirmed the importance of these factors. The presence of neutralizing antibodies for SBV and BVDV, or antibodies directed towards a specific phase of infection for Coxiella was further confirmed with virus-neutralization assays and phase-specific ELISAs in a large proportion of positive samples. The presence of high neutralizing antibody titers (especially for SBV) could indicate recent exposures. Twelve of the 17 positive samples tested positive for antibodies against Coxiella phase I or II antigens, indicating the presence of both acute and chronic infections (one animal tested positive for both phases antibodies).

Conclusions

Our study indicates a non-negligible exposure of pigs from southern Italy to the above pathogens. Further studies are necessary to fully understand the dynamics of these infections in pigs, the impact on productivity, and the public health consequences in the case of Coxiella.

Peer Review reports

Background

Pigs (Sus scrofa) are susceptible to numerous infections that affect ruminants. Although these infections cause symptoms and economic losses in ruminants (considered the main hosts), they cause asymptomatic infections in pigs in most cases [1]. Swine, both domestic and wild, can become accidentally infected due to direct or indirect contact with infected ruminants or through active or passive vectors. For some of these pathogens, intraspecies transmission is still the subject of debate in the scientific community [1]. Examples of typical ruminant infections to which pigs are susceptible are Q fever, Schmallenberg virus (SBV), and bovine viral diarrhea (BVD) [2,3,4].

Q fever, caused by the Gram-negative bacterium Coxiella burnetii, is responsible for reproductive disorders (placenta retention, abortion, and metritis) and economic losses in domestic ruminants [5]. Coxiella has a broad host range and can potentially infect all species of mammals (including swine). Knowledge about the susceptibility of pigs to Q fever, as well as information about its clinical and economic impact, is very scarce [2, 6]. Information about this infection in pigs is currently limited to reports documenting molecular detection inorgans and body fluids as well as the presence of antibodies, while it remains undefined if C. burnetii is an abortigenic agent in pigs. Abortion in pigs is possible considering comparative aspects [6, 7]. Since it is still unclear whether pigs can transmit the infection and pose a public health issue, investigations aimed at identifying the level of exposure of pig populations are advisable.

SBV is an enveloped arbovirus belonging to the Bunyaviridae family and is transmitted through the bite of Culicoides among ruminants [8]. This virus caused a severe outbreak throughout Europe in 2012, including reproductive disorders (abortion and teratogenic lesions) [9]. The susceptibility of non-ruminant mammals has been studied and evaluated over the years, even with experimental infections [3]. Several studies have shown that, while pigs produce antibodies in response to contact with SBV documented in both domestic and wild pigs, they do not develop clinical symptoms or eliminate the virus, and, given the lack of viremia following experimental inoculation, they should probably be considered dead-end hosts [3]. Moreover, during experimental infections, several SBV target organs, such as the spleen, lymph nodes, brain, etc. resulted negative to molecular assay [3]. The ability to infect porcine cells is also preserved in vitro; in fact, SBV is able to grow on porcine-derived cells such as porcine kidney cells (SK-6) [10].

Bovine viral diarrhea virus (BVDV) is a pestivirus responsible for enteric disease, immunosuppression, and early abortion in cattle [11]. BVD is considered one of the diseases with the highest economic impact on the cattle industry. Due to its genomic similarities with classical swine fever virus (CSFV; both are pestiviruses), the virus can also infect pigs [12]. BVD has been described in numerous reports in both pigs and wild boars, and scientific evidence has demonstrated seroconversion and viral shedding with various body fluids after experimental infection [4, 13,14,15]. Further studies have highlighted the absence of persistent and transplacental infections in pigs [16,17,18].

The aim of this work was to evaluate the exposure of domestic pigs in the Campania region, southern Italy, to three different ruminant pathogens (SBV, BVDV and Coxiella) considered endemic in the study area, evaluating any risk factors involved in the spread of these pathogens in the pig population.

Methods

Study area and sampling

This study was conducted in the Campania region (41.1099° N, 14.8475° E), located in southern Italy. This area has a Mediterranean climate, which allows the epidemiologic cycle of viruses transmitted by vectors (Culex, Culicoides, etc.) [19, 20]. The largest type of farming involves ruminants (mainly buffalo), while pig farming counted 75,000 animals at the time of sampling (2% of the national total; Banca Dati Nazionale dell’ Anagrafe Zootecnica, https://www.vetinfo.it/j6statistiche/, accessed November 15, 2022). We selected an expected prevalence of 0.5 (i.e., 50%), an absolute precision of 5%, and a confidence interval (CI) of 95% due to a lack of similar surveys in the same area. The sample size was determined using Thrusfield’s formula in the Epi Info software:

n = Z 2 × P(1 − P)/ d 2 where: Z = 1.96 for a confidence level of 95%, P = expected prevalence, d = 0.05 accepted error and n = sample size.

A total of 414 blood samples were randomly collected from 32 farms (randomly selected from those listed in the study area) [21]. Sampling coincided with blood collection by state veterinarians for the national pseudorabies eradication campaign and was part of another investigation (ethical approval was not required).

Enzyme-Linked Immunosorbent Assays

Three commercial and multispecies ELISAs were used to assess the detection of antibodies against BVDV, SBV, and Coxiella: ID Screen® BVD p80 Antibody Competition, ID Screen® Schmallenberg virus Competition Multi-species, ID Screen® Q Fever Indirect Multi-species (Innovative diagnostics, ID.vet). All tests were carried out following the manufacturer’s instructions. Although validated in ruminants, these tests have been used in porcine species in previous studies due to their nature (ID Screen® BVD p80 Antibody Competition and ID Screen® Schmallenberg virus Competition Multi-species are competitive ELISAs, while ID Screen® Q Fever Indirect Multi-species is an indirect ELISA that uses a multispecies conjugated secondary antibody). A spectrophotometer (Thermo Fisher Scientific) was used to detect optical density, which was subsequently used to calculate the cut-off value that differentiated a positive from a negative sample.

Statistical analysis

The number of positive pigs was divided by the total number of pigs investigated to determine the prevalence at the animal level. Univariate analysis (chi-square test) was conducted using the ELISA results for each pathogen (as dependent variables) and the information about potential risk factors (as independent variables). Pigs were categorized according to location (Avellino, Benevento, Caserta, Napoli, and Salerno), sex (male or female), and farm system (intensive or extensive based on the presence of pasture). Furthermore, pigs were considered adult (sows or boars) or young (growers or finishers). The total number of each ruminant species was calculated via the national database (selecting the main species bred in each district), which, divided by the surface area of the district, resulted in ruminant density per square kilometer. P-values less than 0.05 were considered significant (MedCalc Statistical Software, Ostend, Belgium, version 16.4.3). Using the forward elimination approach, all significant variables were evaluated for the multivariate logistic regression. The degree of correlation between independent variables and SBV seropositivity (the only pathogen for which multiple risks associated with higher exposures have been identified) was assessed using odds ratios (OR) and 95% confidence intervals. The Akaike Information Criterion (AIC) was used to evaluate fit models, and those that best fit the data were chosen. To test for collinearity, the Variance inflation factor (VIF) was employed.

Serological confirmation

The detection of antibodies against BVDV and SBV was further confirmed by subjecting the same samples to a virus neutralization assay. In both cases, protocols described in the literature were used, cultivating MDBK and BHK-21 cells in 96-well plates, susceptible to BVDV and SBV, respectively [19, 22, 23]. Serial serum dilutions from 1:2 to 1:256 (inactivated at 56 °C for 30 min) were mixed with 100 TCID50 of BVDV strain NADL (ATCC) and 500 TCID50 of SBV strain BH80/11–4 (gently provided by “Friedrich-Loefer-Institut”, Germany and “Istituto Zooproflattico Sperimentale dell’Abruzzo e del Molise G. Caporale”, Italy). The serum and virus were pre-incubated overnight at 37 °C before being introduced to the cells and incubated for four days. The titer was calculated as the highest dilution able to prevent cytopathic effects in triplicate wells.

Two phase-specific ELISAs (Coxiella burnetii phase 1 and 2, Euroimmun, Germany) were used according to the manufacturer’s instructions to confirm the specificity of the anti-Coxiella antibodies. This method was feasible to determine whether reactivity was directed towards phase I (chronic form) or entirely towards phase II (acute form) [24, 25].

Results

A total of 414 pigs were tested with multispecies ELISAs, obtaining a seroprevalence of 5.3% for SBV (which resulted in the most widespread pathogen), 4.1% for Coxiella, and 2.9% for BVDV (Tables 1, 2 and 3). A single co-exposure was observed in a pig exhibiting antibodies against BVDV and SBV. Herd prevalence was higher for all three pathogens investigated (BVD 18.75%, Coxiella 34.4%, and SBV 31.2%). The univariate analysis of the risk factors revealed no significant results for BVD, with only the “sex” variable (female) being approximately associated with higher seroprevalences (a chi-square test p-value of 0.05 was obtained) (Table 1). However, in the case of Coxiella, greater exposure was observed in pigs raised in the province of Caserta (p = 0.03) (Table 2). The number of ruminants and the species of ruminants mainly reared in the district did not influence the seroprevalence of any of the three infections. The univariate analysis of risk factors associated with SBV seropositivity provided further interesting results (Table 3). In particular, the provinces of Caserta, Naples, and Salerno (p < 0.001) had higher seroprevalences than the others. Furthermore, sex and age were also found to be risk factors significantly associated with greater risks of exposure, as females (p = 0.001) and mature animals (p < 0.001) had a greater risk of being seropositive. Subsequent multivariate analysis (logistic regression) confirmed the significantly higher exposure for female (p = 0.003) and mature animals (p = 0.002) raised in the province of Salerno (p = 0.002) (Table 4). Risk factors concerning the density and the main ruminant species raised in the study area were not correlated with higher prevalences.

Table 1 Univariate analysis (chi-square) of individual risk factors (province, sex, age, and farm system) for BVDV seropositivity
Table 2 Univariate analysis (chi-square) of individual risk factors (province, sex, age, and farm system) for Coxiella burnetii seropositivity
Table 3 Univariate analysis (chi-square) of individual risk factors (province, sex, age, and farm system) for SBV seropositivity
Table 4 Logistic regression model for the association of potential risk factors (p < 0.05) with SBV seropositivity

Subsequently, the positive animals were tested with further serological assays (VTN and phase-specific ELISA). A large number of BVDV (11/12) and SBV (19/22) positive samples were verified by the corresponding VTN protocols. Some samples revealed very high antibody titers for SBV (six samples had a titer of 1:128 or more), suggesting a recent exposure. Antibody titers obtained with BVDV-positive samples were less high (only one sample had a titre of 1:128, all others were between 1:8 and 1:64). The results obtained in the phase-specific ELISAs confirmed the presence of anti-phase II antibodies in 12 animals and anti-phase I antibodies in only one pig (also positive in phase II) (Supplementary Data 1).

Discussion

Pigs are susceptible to numerous ruminant infections, which they can contract in different ways, such as through proximity to herds of different species, exposure to vectors, or contact with wild animals [1, 26]. In this study, exposure to SBV, BVDV, and Coxiella was demonstrated in the pig population in the Campania region of southern Italy.

The highest seroprevalence was found for SBV, which can be transmitted to pigs through the blood meal of infected vectors. Recent studies have shown that SBV infection is widespread among ruminants in the same region (40.5%); consequently, it was not unexpected that pigs in this area were also exposed. Morevoer, the presence of numerous high antibody titers indicated recent exposure [20, 27]. During the outbreaks that occurred in Europe, the scientific community’s attention was concentrated more on wild boar, suspected of being a reservoir, than on pigs [28]. Several studies, in fact, have identified specific anti-SBV antibodies in populations of hunted wild boars. The prevalences would also seem to follow the typical temporal dynamics of the infection (linked to the activity of the vector). The percentages of positive animals obtained in other studies are between 0 and 3% (in Spain and Poland) [28,29,30]. During the first SBV epidemic in Europe, a study performed in Germany, one of the most affected countries, reported that 33% of wild boars tested positive in 2012, while only 11% tested positive the following year [31]. The absence of molecular positivity as well as experimental infection have indicated that the virus is not transmitted between pigs and that it is possible to consider the pig as a dead-end host (although porcine cells have been susceptible to SBV in vitro) that does not develop symptoms [3, 10]. Its role in this infection could therefore be that of a sentinel for interspecies transmission.

The analysis of risk factors has highlighted higher prevalences in certain provinces (Salerno, Caserta, and Naples) as well as in adult animals. The first aspect could be explained by the climatic characteristics of the above-mentioned provinces, which have a milder climate than the other locations belonging to internal areas. In fact, average temperature and the proximity to the coast favor the activity of the vector and, therefore, the spread of SBV and the possibility of it being transmitted to pigs [19, 20]. The second aspect (age), however, is explained by the fact that boars and sows have a greater chance of being seropositive as they experience multiple vector seasons. Further explanations for this result are weaker immune systems and more frequent secondary infections that affect older animals. Sex, type of farming system, ruminant density and the presence of other ruminants were not significant risk factors associated with BVDV, SBV and Coxiella exposure. These factors presumably do not play a primary role in influencing exposure to the pathogens mentioned above.

BVDV, in addition to being an important pathogen of ruminants, can affect pigs, being responsible for cross-reactions in serological tests to detect antibodies against classical swine fever [32]. Since Italy has been free of CSF for several years, further investigations were not required to distinguish between BVDV and CFSV antibodies. However, the test used is not able to differentiate antibodies against BVD from those against BDV (border disease virus), which shares the p-80 antigen used in the ELISA. In the absence of evidence of BD circulation in southern Italy, some cross-reactions may have influenced (and overestimated) BVD seroprevalence.

Furthermore, evidence of the identification of the pathogen in the secretions of infected pigs has been repeatedly reported (these can transmit the infection to other susceptible animals) [14]. The prevalence we observed (2.9%) is very similar to that described in other large-scale studies carried out in the Netherlands (2.5% in sows and 0.42% in finishing pigs) and Brazil (5.35% testing 1,705 sera by VNT) [32, 33]. Serological and molecular evidence has been described in numerous countries, including in wild boar. For example, specific antibodies are described in 1% of wild boars in the Czech Republic and in 5.4% of wild boars in Turkey [34, 35]. BVDV RNA was identified in 4/50 spleens and 3/49 lungs of wild boars hunted in Serbia and Brazil, respectively [36, 37]. Direct or indirect contact with infected wild boars, therefore, is a further chance of contagion for both pigs and ruminants.

Knowledge of coxiellosis in pigs is limited from a clinical and epidemiological point of view [6]. Reports of infection in domestic and wild swine populations both at serological and molecular levels are described in the literature and although no outbreaks related to pigs have been described to date, the zoonotic potential cannot be ruled out [2, 6]. In this case, the seroprevalences we obtained (4.1%) are very similar to those described in other studies using similar approaches, while the prevalence of ruminants is described as 11.7% in the study area. A large-scale study carried out in Korea in 2015 highlighted a seroprevalence of 6.8% in ELISA (5.2% of total samples were confirmed positive using immunofluorescence) and a molecular prevalence of 0.3% (testing 637 pigs) [7]. Similarly, evidence of Q fever, both serological and molecular, has been described in wild boars, providing evidence for the wildlife-livestock-human interface [38,39,40,41]. The univariate analysis revealed higher seroprevalences in the Caserta province, where the spread of Q fever in buffalo and cattle had previously been documented [42]. Not all ELISA-positive (12/17) pigs were confirmed in the phase-specific ELISA (several cross-reactions with Bartonella spp., Chlamydia spp., and Rickettsiae spp. should be considered), and in one animal it was possible to find antibodies against both phases of the pathogen (a finding similar to a chronic infection in ruminants) [25, 43]. A study recently conducted in Korea identified a seroprevalence of 14.6% in wild boars, identifying only environmental variables (mean annual temperature) instead of zootechnical ones as risk factors related to greater exposure [43].

Pigs and ruminants share numerous pathogens in addition to those described in this study, including viruses (such as foot-and-mouth disease, hepatitis E, West Nile virus etc.), bacteria (such as Brucella, Leptospira, Mycobacterium, etc.), and protozoa (such as Toxoplasma, etc.) [1, 44,45,46,47]. Evaluating the exchange of pathogens between the different species present in a territory is a veterinary prerogative, which leads to the concept of “one health” when humans are also involved in this cycle.

Conclusions

Cross-species transmission of pathogens between domestic animals is a growing veterinary health concern. In this study, exposure to three abortigenic ruminant pathogens in the pig population in southern Italy was evaluated. Although obtained using a small sample of the pig population, our data highlights that pigs can inadvertently come into contact with these pathogens, even if further evidence (such as molecular detection) is needed to understand the dynamics of these cross-species transmissions, the consequences for animal health, and the risk to humans (for zoonotic infections).

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

SBV:

Schmallenberg virus

BVDV:

Bovine viral diarrhea virus

ELISA:

Enzyme linked immunosorbent assay

SK-6:

Swine kidney

CSFV:

Classical swine fever virus

OR:

Odds ratio

AIC:

Akaike Information Criterion

VIF:

Variance inflation factor

MDBK:

Madin Darby Bovine Kidney

BHK-21:

Baby hamster kidney

TCID50:

Tissue Culture Infectious Dose

VNT:

Virus neutralization

References

  1. Miller RS, Sweeney SJ, Slootmaker C, Grear DA, Di Salvo PA, Kiser D et al. Cross-species transmission potential between wild pigs, livestock, poultry, wildlife, and humans: implications for disease risk management in North America. Sci Rep. 2017;7.

  2. Celina SS, Jiří J, Jiříčerný J. Coxiella burnetii in ticks, livestock, pets and wildlife: a mini-review. Front Vet Sci. 2022;9:1068129.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Poskin A, Van Campe W, Mostin L, Cay B, De Regge N. Experimental Schmallenberg virus infection of pigs. Vet Microbiol. 2014;170:398–402.

    Article  PubMed  Google Scholar 

  4. Choe S, Lim SI, Park GN, Song S, Shin J, Kim KS et al. Prevalence of bovine viral Diarrhea Virus infections in pigs on Jeju Island, South Korea, from 2009–2019 and experimental infection of pigs with BVDV strains isolated from cattle. Vet Sci. 2022;9.

  5. Van den Brom R, van Engelen E, Roest HIJ, van der Hoek W, Vellema P. Coxiella burnetii infections in sheep or goats: an opinionated review. Vet Microbiol. 2015;181:119–29.

    Article  PubMed  Google Scholar 

  6. Agerholm JS. Coxiella burnetii associated reproductive disorders in domestic animals-a critical review. Acta Vet Scand. 2013;55:13.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Seo MG, Ouh IO, Lee SH, Kwak D. Detection and genotyping of coxiella burnetii in pigs, South Korea, 2014–2015. Emerg Infect Dis. 2016;22:2192–5.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Lievaart-Peterson K, Luttikholt S, Peperkamp K, Van den Brom R, Vellema P. Schmallenberg disease in sheep or goats: past, present and future. Vet Microbiol. 2015;181:147–53.

    Article  CAS  PubMed  Google Scholar 

  9. Collins ÁB, Doherty ML, Barrett DJ, Mee JF. Schmallenberg virus: a systematic international literature review (2011–2019) from an Irish perspective. Ir Vet J. 2019;72:9.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Hofmann MA, Mader M, Flückiger F, Renzullo S. Genetic stability of Schmallenberg virus in vivo during an epidemic, and in vitro, when passaged in the highly susceptible porcine SK-6 cell line. Vet Microbiol. 2015;176:97–108.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Yarnall MJ, Thrusfield MV. Engaging veterinarians and farmers in eradicating bovine viral diarrhoea: A systematic review of economic impact. Veterinary Record., Yarnall MJ, Thrusfield MV. Engaging veterinarians and farmers in eradicating bovine viral diarrhoea: a systematic review of economic impact. Vet Rec. 2017;181:347.

  12. de Oliveira LG, Mechler-Dreibi ML, Almeida HMS, Gatto IRH. Bovine viral diarrhea virus: recent findings about its occurrence in pigs. Viruses. 2020;12:600.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Araujo Pereira D, Brigolin Peron J, de Souza Almeida HM, Gasparini Baraldi T, Honorato Gatto IR, Coelho Kasmanas T, et al. Experimental inoculation of gilts with bovine viral diarrhea virus 2 (BVDV-2) does not induce transplacental infection. Vet Microbiol. 2018;225:25–30.

    Article  CAS  PubMed  Google Scholar 

  14. Deng Y, Sun CQ, Cao SJ, Lin T, Yuan SS, Zhang HB, et al. High prevalence of bovine viral diarrhea virus 1 in Chinese swine herds. Vet Microbiol. 2012;159:490–3.

    Article  PubMed  Google Scholar 

  15. Fernelius AL, Amtower WC, Lambert G, Mcclurkin AW, Matthews PJ. Bovine viral Diarrhea Virus in Swine: characteristics of Virus recovered from naturally and experimentally infected swine. Can J Comp Med. 1973;37:13–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Storino GY, Mechler-Dreibi ML, Xavier EB, Fioroto AS, Oliveira MEF, Pituco EM, et al. Artificial insemination of gilts with bovine viral diarrhea virus-contaminated semen. Can Vet J. 2021;62:59–61.

    PubMed  PubMed Central  Google Scholar 

  17. Mechler ML, Gomes F, dos S, Nascimento KA, de Souza-Pollo A, Pires FFB, Samara SI, et al. Congenital tremor in piglets: is bovine viral diarrhea virus an etiological cause? Vet Microbiol. 2018;220:107–12.

    Article  PubMed  Google Scholar 

  18. Gomes FS, Mechler-Dreibi ML, Gatto IRH, Storino GY, Pires FFB, Xavier EB, et al. Congenital persistent infection with bovine viral diarrhea virus not observed in piglets. Can Vet J. 2019;60:1220–2.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Ferrara G, Improda E, Piscopo F, Esposito R, Iovane G, Pagnini U, et al. Bluetongue virus seroprevalence and risk factor analysis in cattle and water buffalo in southern Italy (Campania region). Vet Res Commun. 2024;48:579–5842023.

    Article  PubMed  Google Scholar 

  20. Ferrara G, Wernike K, Iovane G, Pagnini U, Montagnaro S. First evidence of Schmallenberg virus infection in southern Italy. BMC Vet Res. 2023;19.

  21. Ferrara G, D’Anza E, Rossi A, Improda E, Iovane V, Pagnini U et al. A Serological Investigation of Porcine Reproductive and respiratory syndrome and three coronaviruses in the Campania Region, Southern Italy. Viruses. 2023;15.

  22. Polak MP, Zmudzinski JF. Prevalence of bovine viral diarrhea virus infection in bulls in artificial insemination centers in Poland. Vet Micro. 1999;64:253–7.

    Article  CAS  Google Scholar 

  23. Pejaković S, Wiggers L, Coupeau D, Kirschvink N, Mason J, Muylkens B. Test selection for antibody detection according to the seroprevalence level of Schmallenberg virus in sheep. PLoS ONE. 2018;13.

  24. Bauer BU, Schwecht KM, Jahnke R, Matthiesen S, Ganter M, Knittler MR. Humoral and cellular immune responses in sheep following administration of different doses of an inactivated phase I vaccine against Coxiella burnetii. Vaccine. 2023;41:4798–807.

    Article  CAS  PubMed  Google Scholar 

  25. Ferrara G, Colitti B, Pagnini U, Iovane G, Rosati S, Montagnaro S. Characterization of recombinant ybgf protein for the detection of Coxiella antibodies in ruminants. J Vet Diagn Invest. 2022;34:646–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Ferrara G, Nocera FP, Longobardi C, Ciarcia R, Fioretti A, Damiano S, et al. Retrospective serosurvey of three porcine coronaviruses among the Wild Boar (Sus scrofa) Population in the Campania Region of Italy. J Wildl Dis. 2022;58:887–91.

    Article  PubMed  Google Scholar 

  27. Jones S, Eden L, McKay H, Bollard N, Dunham S, Davies P et al. Schmallenberg virus neutralising antibody responses in sheep. BMC Vet Res. 2019;15.

  28. Jiménez-Ruiz S, Vicente J, Risalde MA, Acevedo P, Cano-Terriza D, González-Barrio D, et al. Survey of Culicoides-borne bluetongue and Schmallenberg viruses at the wildlife-livestock interface in Doñana National Park (Spain). Transbound Emerg Dis. 2022;69:e1815–24.

    Article  PubMed  Google Scholar 

  29. García-Bocanegra I, Cano-Terriza D, Vidal G, Rosell R, Paniagua J, Jiménez-Ruiz S et al. Monitoring of Schmallenberg virus in Spanish wild artiodactyls, 2006–2015. PLoS ONE. 2019;12.

  30. Kesik-Maliszewska J, Jabłoński A, Larska M. Were Polish wild boars exposed to Schmallenberg virus? J Veterinary Res (Poland). 2017;61:151–5.

    Article  CAS  Google Scholar 

  31. Mouchantat S, Wernike K, Lutz W, Hoffmann B, Ulrich RG, Börner K et al. A broad spectrum screening of Schmallenberg virus antibodies in wildlife animals in Germany. Vet Res. 2015;46.

  32. Gatto IRH, Linhares DCL, de Souza Almeida HM, Mathias LA, de Medeiros ASR, Poljak Z, et al. Description of risk factors associated with the detection of BVDV antibodies in Brazilian pig herds. Trop Anim Health Prod. 2018;50:773–8.

    Article  PubMed  Google Scholar 

  33. Loeffen WLA, van Beuningen A, Quak S, Elbers ARW. Seroprevalence and risk factors for the presence of ruminant pestiviruses in the Dutch swine population. Vet Microbiol. 2009;136:240–5.

    Article  CAS  PubMed  Google Scholar 

  34. Sedlak K, Bartova E, Machova J. Antibodies to selected viral Disease agents in Wild boars from the Czech Republic. J Wildl Dis. 2008;44:777–80.

    Article  PubMed  Google Scholar 

  35. Albayrak H, Ozan E, Cavunt A. A serological survey of selected pathogens in wild boar (Sus scrofa) in northern Turkey. Eur J Wildl Res. 2013;59:893–7.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Porto GS, Dall Agnol AM, Leme RA, De Souza TCGD, Alfieri AA, Alfieri AF. Detection of Pestivirus A (bovine viral diarrhea virus 1) in free-living wild boars in Brazil. Braz J Microbiol. 2021;52:1037–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Milićević V, Maksimović-Zorić J, Veljović L, Kureljušić B, Savić B, Cvetojević Đ, et al. Bovine viral diarrhea virus infection in wild boar. Res Vet Sci. 2018;119:76–8.

    Article  PubMed  Google Scholar 

  38. Cumbassá A, Barahona MJ, Cunha MV, Azórin B, Fonseca C, Rosalino LM, et al. Coxiella burnetii DNA detected in domestic ruminants and wildlife from Portugal. Vet Microbiol. 2015;180:136–41.

    Article  PubMed  Google Scholar 

  39. Pires H, Cardoso L, Lopes AP, Fontes M da, Matos C, Pintado M et al. C,. Seropositivity for Coxiella burnetii in Wild Boar (Sus scrofa) and Red Deer (Cervus elaphus) in Portugal. Pathogens. 2023;12.

  40. González-Barrio D, Hagen F, Tilburg JJHC, Ruiz-Fons F. Coxiella burnetii genotypes in Iberian Wildlife. Microb Ecol. 2016;72:890–7.

    Article  PubMed  Google Scholar 

  41. González-Barrio D, Martín-Hernando MP, Ruiz-Fons F. Shedding patterns of endemic eurasian wild boar (Sus scrofa) pathogens. Res Vet Sci. 2015;102:206–11.

    Article  PubMed  Google Scholar 

  42. Ferrara G, Colitti B, Pagnini U, D’Angelo D, Iovane G, Rosati S et al. Serological evidence of Q fever among Dairy Cattle and Buffalo Populations in the Campania Region, Italy. Pathogens. 2022;11.

  43. Ferrara G, Colitti B, Flores-Ramirez G, Pagnini U, Iovane G, Rosati S, et al. Detection of Coxiella antibodies in ruminants using a SucB recombinant antigen. J Vet Diagn Invest. 2023;35:721–6.

    Article  CAS  PubMed  Google Scholar 

  44. A Serological Survey of Brucellosis in Eurasian Wild Boar (Sus scrofa) in Campania Region, Italy. J Wildl Dis. 2020;56:424–8.

  45. Iovane V, Ferrara G, Petruccelli A, Veneziano V, D’Alessio N, Ciarcia R et al. Prevalence of serum antibodies against the Mycobacterium tuberculosis complex in wild boar in Campania region, Italy. Eur J Wildl Res. 2020;66.

  46. Eppink DM, Bouwknegt M, van der Giessen JWB, Swanenburg M, Oorburg D, Urlings BAP et al. Potential risk factors for the presence of anti-toxoplasma gondii antibodies in finishing pigs on conventional farms in the Netherlands. Porcine Health Manag. 2022;8.

  47. Scheinpflug K, Schiller S, Jäkel H, Schulze M, Waberski D, Mühldorfer K. Relevance of Leptospira in boar and for the development of alternative antimicrobial concepts in boar semen preservation. Porcine Health Manag. 2020;6.

Download references

Acknowledgements

Not applicable.

Funding

This research received no external funding.

Author information

Authors and Affiliations

Authors

Contributions

G.F. major contributor and involved in all phases of research, including design of the study, writing the manuscript, performing and interpreting the data regarding the serological assay (virus neu-tralization, ELISA). E.I. was a resource. S.M. designed the experiments and performed the statistical analysis and edited the manuscript. G.I. and U.P. designed the experiments and supervised the study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gianmarco Ferrara.

Ethics declarations

Consent for publication

Not Applicable.

Competing interests

The authors declare no competing interests.

Ethical approval and consent to participate

This study did not require official or institutional ethical approval. No animals were sampled solely for this study (blood samples were collected by veterinarians during prophylaxis measures against Pseudorabies virus, according to the good practices of veterinary medicine “Piano di controllo per l’eradicazione della malattia di Aujeszky negli allevamenti suini della regione Campania”).

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ferrara, G., Pagnini, U., Improda, E. et al. Pigs in southern Italy are exposed to three ruminant pathogens: an analysis of seroprevalence and risk factors analysis study. BMC Vet Res 20, 183 (2024). https://doi.org/10.1186/s12917-024-04037-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12917-024-04037-4

Keywords