Alba Martí-Marco1Samantha Moratal1Irene Torres-Blas2
Jesús Cardells1,2
Víctor Lizana1,2*†
María Auxiliadora Dea-Ayuela3*†- 1Servicio de Análisis, Investigación y Gestión de Animales Silvestres (SAIGAS), Facultad de Veterinaria, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, Spain
- 2Wildlife Ecology & Health Group (WE&H), Faculty of Veterinary, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain
- 3Departmento de Farmacia, Facultad de Ciencias de la Salud, Universidad Cardenal Herrera-CEU, CEU Universities, Alfara del Patriarca, Spain
Introduction: Changes in land use and urbanization have altered the distribution and behaviour patterns of wildlife, increasing contacts between people and wild carnivores, elevating the risk of disease transmission. Evidence of enteric parasite presence in wild mesocarnivores from Spain is scarce, particularly in the eastern region.
Methods: We surveyed 221 fecal samples collected in 2018–2023 from nine mesocarnivore species across 85 municipalities in the Valencian Community (eastern Spain). Molecular assays were used to detect Giardia duodenalis, Cryptosporidium spp, and Blastocystis, and positives were characterized by genetic sequencing when possible.
Results: Overall prevalences were 6.8 % for G. duodenalis and for Cryptosporidium (15 of 221), and 8.6 % for Blastocystis (19 of 221). G. duodenalis was detected in seven of nine species, Cryptosporidium in four, and Blastocystis in six. Co-infections occurred but any sample harbored all three parasites. Sequencing revealed multiple Cryptosporidium species with relevance for humans and wildlife (including C. meleagridis, C. canis, C. ditrichi, C. erinacei, C. muris, and C. sp mouse genotype II), and Blastocystis subtypes 3, 4, 5, 6, 7, and 15 in several hosts. As in other studies, genotyping of G. duodenalis was unsuccessful.
Discussion: Detection of prey-associated Cryptosporidium in predators supports trophic transmission. The presence of those zoonotic enteroparasites in wild mesocarnivores highlight the need for integrated wildlife and public health surveillance at the human–wildlife interface and for further work to resolve parasite sources, transmission pathways, and the conditions that facilitate cross-species spread.
1 Introduction
Over the last few decades, the coexistence dynamics between wild carnivores and people have changed significantly. Multiple studies indicate that wild mesocarnivores (e.g., red fox, stone marten, genet) are increasingly present near human settlements in Mediterranean landscapes, including Eastern Spain. This trend is driven by habitat fragmentation, urbanization, and land-use changes, which push these adaptable species into closer proximity with people and domestic animals (1–5). Camera trap studies and ecological surveys show that generalist mesocarnivores are more abundant in urban and peri-urban areas (2, 3, 5). This phenomenon has led to a significant increase in interactions between humans and wildlife (2, 6, 7) with a consequent increase in the risk of disease transmission between them (4, 8, 9).
Giardia duodenalis, Cryptosporidium spp. and Blastocystis are some of the most prevalent zoonotic enteroparasites found in both human and animal feces (9–12). These unicellular parasites typically cause gastrointestinal disorders, such as diarrhea, which is more severe in either young or immunocompromised individuals (13–16). Environmental prevalence of these parasites has increased in certain regions of Spain, including Eastern areas (17) where climatic conditions such as milder winters and higher precipitation levels may favour the survival of environmental stages (e.g., cysts and oocysts) that are resistant to desiccation and temperature extremes (18). Recent studies have also indicated higher parasite loads in wildlife populations inhabiting these areas, suggesting an increasing environmental prevalence that might exacerbate zoonotic risks (19).
In Spain, several epidemiological and molecular studies have analyzed the presence, as well as the species, genotypes, or subtypes of these enteroparasites in different wildlife taxa, such as ungulates (19–22), birds (23) or rodents (24). However, there is little information available regarding the role that wild mesocarnivores play as these parasites’ hosts both at national and European levels, despite mesocarnivores often interacting with a variety of other wildlife and human-modified environments, creating multiple potential transmission routes for zoonotic pathogens by attacking humans or domestic animals; or defecating in public spaces (25, 26). The ecology and behaviour of mesocarnivores, who often act as scavengers, have big home ranges, high mobility and are quite adaptable to urban and peri-urban areas increase their likelihood of encountering contaminated water, prey, or environments, which can elevate exposure to Giardia and Cryptosporidium (27). For example, red foxes, due to their adaptability and presence in human-modified landscapes, are repeatedly identified as suitable hosts for zoonotic Giardia and Cryptosporidium species (27). Furthermore, red foxes are classified as a game species in Spain, meaning that both hunters and hunting dogs can have direct contact with animals that can be asymptomatic carriers through contact with the carcass or direct ingestion of the contaminated gastrointestinal System in case of the hunting dogs. (25, 26, 28–30). This, coupled with high human population density and changes in human spatial use, could heighten wildlife-to-human parasite transmission (19, 31). The very low infective dose (13) and high resistance of these parasites in the environment and to conventional water treatments (16) increase transmission risk.
Some studies have been conducted in different areas of Spain (25, 26, 28, 29), but none of them cover the eastern region of the country, where climatic conditions could favor the survival of resistance forms of these parasites (30).
Given the significance of these enteroparasites for both human and animal health, and in light of the increasing interactions between people and wildlife, the main objective of this study is to assess the presence of these parasites in wild mesocarnivores found in Eastern Spain, as well as their circulation among the nine species selected as potential carriers.
2 Materials and methods
2.1 Study area and sample selection
The sampling area is comprised of a total of 85 municipalities belonging to Valencian Community (Spain). All the municipalities included in the study have confirmed the presence of wild mesocarnivore species within their territory (32) (Figure 1).
Figure 1. Spatial distribution of collected samples in the Valencian community (Eastern Spain), categorized by mesocarnivore species.
Sample size (N) was calculated with WinEpi 2.0 software (33). The red fox was the chosen species to calculate sample size. There is literature available regarding the prevalence of both Giardia duodenalis and Cryptosporidium spp. in this species in other areas of Spain and other European countries (26, 34–37). Prevalence values in this literature ranged from 4.8% to 9.6 for Giardia duodenalis and from 2.2 to 8% for Cryptosporidium spp. Therefore, we used expected prevalence values of 9.6 and 8%, respectively, to calculate sample size. Assuming an unknown population, the 95% of confidence level and 5% of error (26, 34–37). Sample collection was performed from January 2018 to January 2023. We collected a total of 221 samples from nine different species: red fox (Vulpes vulpes, N = 121), stone marten (Martes foina, N = 31), Eurasian badger (Meles meles, N = 30), common genet (Genetta genetta, N = 18), American mink (Neovison vison, N = 13), Eurasian otter (Lutra lutra, N = 2), European wildcat (Felis silvestris, N = 4), European polecat (Mustela putorius, N = 1) and least weasel (Mustela nivalis N = 1). The animals included in the study were roadkills, hunted (some of the red foxes), derived from eradication programs (American mink, considered as an invasive species in Europe) or from local wildlife rescue centers. We also recorded location, sex, age and weight of the sampled individuals. Sex was determined by assessment of external genitalia and age was divided into three categories: cub, juvenile and adult.
Fecal samples were collected directly from the rectum and stored in 50 mL sterile polypropylene screw-top containers. Each container was properly labeled with the identification number for each animal. Samples were kept at 4 °C and processed within the next 24 h post-collection at School of Veterinary Medicine (Universidad CEU Cardenal Herrera, Valencia, Spain). Sample DNA was extracted and stored at −20 °C until the molecular analysis was performed.
2.2 DNA extraction
DNA extraction was performed using NZY Tissue gDNA Isolation kit (Nzytech genes & enzymes, Lisboa, Portugal) according to the manufacturer’s instructions.
2.2.1 Giardia duodenalis detection
A qPCR for G. duodenalis detection was performed using an adapted form of the protocol described by Dacal et al. (38) and Verweij et al. (39), targeting a 62 bp segment of the SSU rRNA gene. A total of 3 μL of DNA per sample were used in a total volume of 25 μL for PCR running. The PCR pre-mixture included 12.5 pmol of both Gd-80F and Gd-127R primers (39), 10 pmol for the probe (Table 1), and 12.5 μL of NZY Supreme qPCR Probe Master Mix (Nzytech genes & enzymes, Lisboa, Portugal). The AriaMx (Agilent Technologies, Santa Clara, CA, USA) system was used for parasite DNA detection.
Table 1. Oligonucleotides employed for the molecular identification and/or characterization of Giardia duodenalis, Cryptosporidium spp., and Blastocystis.
Amplification consisted of 15 min at 95 °C, followed by 45 amplification cycles of 15 s at 95 °C and 1 min at 60 °C (38). Both positive (G. duodenalis genotype type C isolated from an infected dog) and negative controls were included in each PCR run.
Samples positive to qPCR were subsequently assessed by using two semi-nested PCRs which allowed further genotyping of the genes encoding for the glutamate dehydrogenase (gdh) and β-giardin (bg) proteins of the enteroparasite. Briefly, a 432 bp fragment from the gdh gene was amplified using a PCR reaction mixture which contained 3 μL of sample DNA in a total final volume of 25 μL, which included 1 μL of primer pairs GDHeF/GDHiR in the primary reaction; and 1 μL of the primary reaction in a total volume of 25 μL, which included 1 μL of primer pairs GDHiF/GDHiR in the secondary reaction (Table 1) (38). Both amplification PCR procedures were run in a GeneAmp PCR System 2,700 thermocycler (Applied Biosystems, Foster City, CA, USA). The protocol used to carry out the ghd gene amplification started with a denaturation process at 95 °C for 3 min, followed by 35 amplification cycles of 95 °C for 30 s, 55 °C for 30 s, and 72 °C for 1 min, with a final extension of 72 °C for 7 min (38, 40). All PCR reactions included positive and negative controls.
Similarly, for the bg gene, a 753 bp gene fragment was amplified using 3 μL of the sample DNA in a total volume of 25 μL, which included 1 μL of the primer pairs G7/G759R for the primary reaction (Table 1). For the secondary PCR reaction, 1 μL of the primary reaction was used in a total volume of 25 μL, which included 1 μL of the primer pairs G376/G759 (41), following the protocol described by Mahbubani et al. (1992a). Both PCR amplification reactions were performed using a GeneAmp PCR System 2,700 thermocycler (Applied Biosystems, Foster City, CA, USA). The protocol described by Dacal et al. (38), consisted of a first denaturation step of 95 °C for 7 min, followed by 35 amplification cycles of 95 °C for 30 s, 65 °C for 30 s, and 72 °C for 1 min, with a final extension of 72 °C for 7 min Positive and negative PCR controls were included in all the reactions.
Semi-nested PCR results were visualized in a 1.5% agarose gel pre-stained with RedSafe TM nucleic acid dye (iNtRON Biotechnology, Seongnam, Republic of Korea).
2.2.2 Cryptosporidium spp. detection
The presence of Cryptosporidium spp. was evaluated using a nested PCR, and a 587 bp SSU rRNA gene fragment was amplified, following the protocol described by Ryan et al. (42). The PCR reaction was carried out using 3 μL of DNA sample, in a total final volume of 25 μL, which included 12.5 pmol of each of the forward primer 18SicF2 and reverse primer 18SicR2 for the first reaction, and forward primer 18SicF1 and reverse primer 18SicR1 for the second reaction (Table 1).
Both amplification reactions were carried out in a GeneAmp PCR System 2,700 (Applied Biosystems, Foster City, CA, USA) thermocycler, using the conditions described by Ryan et al. (42): a first denaturation step of 95 °C for 5 min, followed by 45 amplification cycles (30 s at 94 °C, 30 s at 58 °C, 30 s at 72 °C) and a final extension process that lasted 10 min at 72 °C. For all the PCR reactions, negative and positive (sample from a farm positive to Cryptosporidium ubiquitum) controls were included. Positive samples were visualized in a 1.5% agarose gel pre-stained with RedSafe Tm (iNtRON Biotechnology, Seongnam, Republic of Korea) nucleic acid stain.
2.2.3 Blastocystis detection
The presence of Blastocystis was evaluated using a conventional PCR protocol adapted from Gantois et al. (43), employing a SSU rRNA gene fragment of 320–342 bp. For each PCR reaction, 2 μL of sample DNA were added in a total volume of 50 μL, which included 0.5 μL of primers BL18SPPF1 and BL18SR2PP (Table 1) (44) and the Master Mix Supreme NZYTaq II 2x Green Master Mix (Nzytech genes & enzymes, Lisboa, Portugal).
The PCR amplification reaction was conducted in a GeneAmp PCR System 2,700 thermocycler (Applied Biosystems, Foster City, CA, USA) using the settings described by Gantois et al. (43): a first denaturation step at 95 °C for 5 min, followed by 40 amplification cycles (30 s at 94 °C, 35 s at 60 °C, 50 s at 68 °C), and a final extension step at 68 °C for 2 min. Positive and negative controls were included in all PCR reactions (samples from domestic pigs positive for Blastocystis ST5). Positive samples were visualized in a 1.8% agarose gel pre-stained with Greensafe Premium nucleic acid stain (Nzytech genes & enzymes, Lisboa, Portugal).
2.3 Phylogenetic analysis and sequentiation
Positive samples that showed a band of the expected size were sequenced by an external sequencing service (Genomics Department from Centro de Investigación Príncipe Felipe, Valencia, Spain). The nucleotide sequences obtained were visualized using Chromas software version 2.6.6 (Technelsyum DNA Sequencing Software, South Brisbane, QLD, Australia) and compared using the online BLAST tool (Basic Local Alignment Search Tool)1 with the sequences available for G. duodenalis, Cryptosporidium spp. and Blastocystis sp. in the NCBI GenBank database. Alignments with reference sequences were carried out using the MEGA program, version X (45).
2.4 Statistical analysis
A series of generalized linear models (GLMs) using the presence/absence of each studied parasite (Giardia duodenalis, Cryptosporidium spp., and Blastocystis sp.) as the response variable were performed. The explanatory variables included in each model were all the same for each parasite, and were host age class (Juvenile, Sub-Adult, Adult), Province (Valencia, V; Alicante, A; Castellón, C; unknown, X), and sample origin (Capture and release; disease; drowned; found dead; hunted; roadkill; alive animal; anthropogenic cause and fresh feces). Factor levels with low sample sizes (N < 10) were pooled to avoid model separation and overparameterization. Model assumptions and goodness of fit were assessed using simulation-based residual diagnostics implemented in the DHARMa Package (46). Uniformity of residuals, dispersion, and potential deviations from model expectations were evaluated using Kolmogorov–Smirnov and quantile tests. No evidence of overdispersion or global lack of fit was detected. Minor deviations in lower conditional quantiles were observed, which are expected for binomial models applied to low-prevalence data. Post-hoc comparisons among factor levels were conducted if necessary, using estimated marginal means (EMMs) with pairwise contrasts implemented in the emmeans Package (47), based on the fitted binomial GLMs. Comparisons were adjusted for multiple testing using Tukey’s method.
3 Results
This study included a total of 221 samples, belonging to nine different wild mesocarnivore species found in Valencian Community. We detected G. duodenalis in seven species: V. vulpes, M. foina, N. vison, M. meles, G. genetta, L. lutra and F. silvestris; Cryptosporidium spp. in four: V. vulpes, N. vison, M. meles, G. genetta; and Blastocystis sp. in six: V. vulpes, M. foina, M. meles, G. genetta, M. putorious and M. nivalis. Prevalences of G. duodenalis, Cryptosporidium spp. and Blastocystis were 6.79, 6.79, and 8.59%, respectively. Table 2 shows parasite distribution according to species and sex.
Table 2. Detected prevalence of Giardia duodenalis, Cryptosporidium spp., and Blastocystis in wild mesocarnivores according to species and sex.
We did not find any sample positive to all three enteroparasites. However, we found co-infections between G. duodenalis and Cryptosporidium spp. in red fox (N = 1) and a common genet (N = 1); G. duodenalis and Blastocystis in a common genet (N = 1) and finally, Cryptosporidum spp. and Blastocystis in a red fox (N = 1).
G. duodenalis was the most widely distributed parasite among the studied mesocarnivore species, being found in seven out of a total of nine (Figure 2). General G. duodenalis prevalence was 6.79% (15/221; CI 95% 3.5% – 10.1%). Mean Ct value was 36.03 (range: 29–39.6). As in previous studies (21, 22, 24, 26, 48) genotyping of positive samples/isolates was unsuccessful; therefore, we could not determine the genovariety to which they belonged. None of the explanatory variables included in the GLM model were significant (Table 3).
Figure 2. Geolocation of wild mesocarnivores testing positive for Giardia duodenalis, categorized by host species.
Table 3. GLM results for each studied parasite model.
Prevalence of Cryptosporidium spp. was 6.79% (15/221; CI 95% 3.5–10.1%) and was found in four mesocarnivore species (Figure 3). Genetic sequencing revealed that different species of Cryptosporidium spp. were present in the samples, with the full list shown in Tables 4, 5. The partial sequences of Cryptosporidium spp. obtained, were deposited in GenBank under the following accession numbers: PP002598 - PP002601. Only the variable “Age” was statisically significant (p = 0.03), with the differences being found between adults (prevalence 0.05%) and sub-adults (Prevalence 0.13%, p = 0.007). There were no other significant differences among the other categories.
Figure 3. Geolocation of wild mesocarnivores testing positive for Cryptosporidium spp., categorized by host species.
Table 4. Sequence analysis results of Cryptosporidium spp. in wild mesocarnivores from the Valencian community.
Table 5. Isolates of Cryptosporidium spp. classified by species according to the nearest reference sequence.
Blastocystis was the enteric pathogen with the highest prevalence found in this study, with 8.59% (19/221; CI 95% 5.26–13.10% %), being detected in six out of the nine analyzed species (Figure 4). The genetic sequencing revealed a wide range of Blastocystis subtypes (ST) as shown in Tables 6, 7. The partial sequences of Blastocystis obtained were deposited in GenBank under the numbers: PP002606 - PP002613. Regarding Blastocystis, only the variables “Province” (p < 0.001) and “Origin” (p = 0.04) were significant. Valencia was significantly different from Alicante (p = 0.003), and marginally different from Castellón (p = 0.08). Prevalence values for Blastocystis on these provinces were 7.55% (4/53) in Alicante; 19.23% (5/26) in Castellón; 5.07% (7/138) in Valencia.
Figure 4. Geolocation of wild mesocarnivores testing positive for Blastocystis, categorized by host species.
Table 6. Sequence analysis results of Blastocystis in wild mesocarnivores from the Valencian community.
Table 7. Isolates of Blastocystis classified by species according to the nearest reference sequence.
4 Discussion
The number of studies describing the presence and prevalence of Giardia duodenalis, Cryptosporidium spp. and Blastocystis in wild carnivore species found in Spain is very limited. To the authors’ knowledge, this is the first study conducted in Eastern Spain evaluating the presence of these three enteric parasites in wild mesocarnivore species, and we have found a prevalence of 6.79% for both G. duodenalis and Cryptosporidium spp. and 8.59% for Blastocystis.
The observed prevalence for G. duodenalis (6.79%) is similar to other studies conducted in the Iberian Peninsula in different carnivore species: 4.7% in a country study involving several regions (Andalusia, Asturias, Basque Country, Castilla – La Mancha and Extremadura) (26) and 9.6% in Northwestern Galicia (34). However, other available research carried out in the Iberian Peninsula yields heterogenic results, by presenting higher values in areas from Portugal (49) [15.8% of prevalence in red foxes and 18.6% in stone marten (M. foina) (49)], and significantly lower values within other territories of Spain [only 1 positive stone marten out of 193 samples from 11 mesocarnivore species (26)]. A prevalence of 6.8% (30/347) in Eurasian otters (L. lutra) has been reported from Galicia (NW Spain) (29). In our study we only had two otter samples, with one of them being positive. The wide distribution of both Giardia spp. and Cryptosporidium spp. in water bodies and even tap water across Galicia and other Northern areas of Spain has been proven in the past (50, 51), showcasing the wide environmental distribution of these pathogens whose main infective pathways are food-borne and water-borne. These results regarding the positive samples fund in otters suggest that river water could be highlighted as a possible source of infection for this mammal species, since aquatic ecosystems possess environmental conditions that favor the survival of Giardia resistance forms (52), potentially indicating that infection in otters may follow the same mechanism as for humans.
As previously described in the results section, we detected G. duodenalis in seven (out of nine) mesocarnivore species, with marked differences in prevalence levels between them (although we have to consider the discrepancies among sample sizes for each species): red fox (4.13% - 5/121), stone marten (9.68–3/31%), American mink (7.69% - 1/13), Eurasian badger (3.33% - 1/30), common genet (16.67% - 3/18), Eurasian otter (50% - 1/2) and European wildcat (25% - 1/4). Among all of them, the red fox is the most studied species in the European context for the three target parasites of the present work. The red fox is the only one of these mesocarnivores that is categorized as a hunting species, making sampling acquisition easier. Prevalence rates for G. duodenalis in the red fox are reported to be 4.8% in Norway (35), 4.6% in Romania (53), 4.5% in Croatia (54) and 19% in Poland (55). One study in Sweden found a noteworthily high prevalence of 44%, after detection using direct immunofluorescence techniques (56). These marked discrepancies among prevalence results could stem from the different methodologies used for detection; nevertheless, it might suggest that there are significant differences regarding parasite distribution between bioregions/areas/countries.
The red fox has been one of the most researched species thanks to its ability to adapt to highly anthropized environments due to its dietary and habitat plasticity. The Valencian Community hosts a great diversity of species with overlapping habitat ranges, therefore facilitating the transmission of G. duodenalis among them. Our prevalence values in red fox are low, suggesting that zoonotic transmission risk of these parasites from this mesocarnivore species is minimal. However, molecular studies are practically nonexistent at both national and European levels (10).
In Western Europe, the most relevant study to date that has detected G. duodenalis was carried out by Maestrini et al. (57), obtaining a prevalence of 48.8% by immunoassay in Eurasian badgers from an anthropized area in central Italy. In our study, we only found one positive Eurasian badger (out of 30) (Figure 2). Most of our Eurasian badgers came from rainfed croplands, which are areas with low human population. Additionally, G. duodenalis is a parasite with a direct life cycle, normally transmitted feco-orally; its most typical infection route in human beings is through the ingestion of untreated infected water carrying cysts. The high prevalence results obtained in Italy compared to our low prevalence could therefore stem from differences in the regional climate; the low human population density found in rainfed croplands and finally from differences in laboratory methodologies, as the results from Italy are reported from immunoassay results (which measure exposure to the parasite); compared to our molecular approach to determine presence of G. duodenalis.
G. duodenalis is rarely reported from other continents. In Philippines, a study involving captive specimens of palm civets (Paradoxurus hermaphroditus) and binturong (Arctictis binturong whitei) also documented the presence of this parasite (58). It is note-worthy, though, that the sampled animals came from captive conditions, which inherently implies a close contact with their keepers, again potentially suggesting that transmission may occur from humans to wildlife. This highlights the results of the present work, with the detection of 6.8% prevalence and involving seven of the nine species sampled, showing that, despite having low parasite prevalence values, Giardia duodenalis is quite widespread among mesocarnivore populations from Eastern Spain.
None of our samples could be genotyped successfully using a semi-nested PCR for gdh and βg. Unfortunately, genotyping failure is a recurring problem in studies focused on G. duodenalis detection (21, 22, 24, 26, 48). Future studies could enhance the molecular characterization of Giardia duodenalis by incorporating additional genetic loci to support a comprehensive multilocus genotyping approach, such as tpi or ef1-α.
Regarding Cryptosporidium spp., the prevalence levels observed in this work (6.79%) are similar to prevalence levels obtained in previous studies carried out in Spain and also involving several different mesocarnivore species (5.7%) (26). In Europe, Perec-Mastysiak et al. (59) obtained much higher prevalence levels in Poland through immunofluorescence techniques (23%). Given that the studies with higher prevalence come from works carried out using immunofluorescence techniques, this situation highlights the importance of the potential differences between the results of different detection methods.
There were significant differences between adult and sub-adult animals in prevalence levels in our study, with sub-adult animals presenting a lower prevalence (1.8%, 4/221) compared to adults (3.62%, 8/221). These results are contradictory to the available literature, as younger animals generally show higher prevalence rates (18, 60, 61), especially for zoonotic Cryptoposporidium spp. such as C. parvum (62). However, the different age thresholds where changes in prevalence can happen can be species- specific. All the positive subadults and adults (except from one adult badger and one adult common genet) were foxes. One study (18) found that this prevalence pattern was different in the red fox, with the highest prevalence was found in animals older than 12 months compared to 5–6 months, but this difference was not statistically significant. These results are more in accordance with our observations. However, given the very low prevalence values obtained in this study, the statistical results need to be interpreted with caution.
Research conducted in only one mesocarnivore species showcased results such as those obtained by Méndez-Hermida et al. (29) in Northwestern Spain, finding a prevalence of 3.9% in Eurasian otter (L. lutra); or Gómez-Couso et al. (25), who found a prevalence of 24.2% in American mink (N. vison) in a study that included farmed minks and through immunofluorescence techniques. In the present study, Cryptosporidium spp. was not detected in any of the two otter specimens analyzed; in American mink, Cryptosporidium mink was detected in two of the 13 samples analyzed, so its presence is around 15.38%. This Cryptosporidium species has been detected in young people aged 11–21 years in Australia (63). These results differ from a recent study from England where it was detected in otter (2.17%) but not in American mink (64). Once again, terrestrial mammals which greatly rely upon aquatic environments seem to be more at risk of carrying these endoparasites; however, no solid conclusions can be reached on whether these species act as a source of endoparasite propagation or are infected through the same mechanisms as humans. In this sense, it would be pertinent to continue research on these species at the national and European levels to try to discern whether they are either reservoirs or sentinels.
We obtained a Cryptosporidium spp. prevalence of 8.26% in the red fox. The red fox is also the species where we detected the highest number of Crypstosporidium spp.: C. canis, C. sp. mouse genotype II and C. meleagridis (Table 4). Other studies also obtained similar prevalence levels in this species: 8% in a generalized study in several areas of Spain (26); 6.1% in Northwestern Spain (34); 3.4% in Portugal (49); 2.2% in Norway (35); 1.72 - 2.7% in Central Europe (65); and 12% in Poland (59). In contrast, in Ireland prevalence rised up to 20% (66) and, in Slovenia, up to 38.7% (67). This disparity in observed prevalences may be due to the methodology followed, both for sampling and detection techniques, with microscopy or immunochromatography being less sensitive than molecular techniques (65).
Regarding Cryptosporidium spp. diversity, the range of species previously detected in red foxes from Spain is quite wide: C. hominis, C. canis, C. parvum, C. suis, C. felis and C. ubiquitum (26, 34). At the European level, C. tyzzeri, C. andersoni, C. galli (65), C. alticolis and C. vole genotype II (59) have also been found. Some of these species, such as C. hominis, C. parvum, C. ubiquitum or C. meleagridis (detected in the present study) are zoonotic; others, like C. suis or C. mink have been sporadically found in humans (63, 68–70). Finally, the presence of C. sp. mouse genotype II can be explained by ingestion of infected mice, as they are part of red fox diet. This fact highlights the need for further study of hosts capable of propagating and facilitating the transmission of these parasite species.
As previously discussed, having access to samples of protected wild mesocarnivores species (all except the red fox, which is a game species, and the American mink, which is considered as an invasive species subject to eradication) can be a challenge. These sampling limitations likely contribute to having very little information available regarding the pathogens carried by these species. In the present study, C. ditrichi and C. erinacei were detected in two of the 30 Eurasian badger samples and C. muris in one of the 18 common genets, representing a presence of 6.66 and 5.56%, respectively (Table 4). In the case of Eurasian badgers in Spain, Mateo et al. (26) detected a prevalence of 3% and a single positive common genet (1/6, 16.67% prevalence). At the European level, Maestrini et al. (57) obtained a prevalence of 23.2% in the analysis of fecal samples from Eurasian badgers in Italy, using commercial immunoassay methods. As for the viverrids, to the authors’ knowledge, there are no other previous studies analyzing the presence of these enteroparasites in Europe. Outside of Europe there is a research detecting a 0.1% Cryptosporidium spp. infection rate in masked palm civets (Paguma larvata) from Southern China (71).
Some of the Cryptosopiridum spp. species detected in this study are related to the diet of the mesocarnivore species that tested positive (such as C. erinacei and C. ditrichi in Eurasian badger, C. sp. mouse genotype II in the red fox and C. muris in the common genet). This finding acts as supporting evidence for trophic chain transmission, aligning with previous studies (59). The diet of these carnivore species includes small mammals that can act as carriers of Cryptosporidium spp.; therefore, it is not surprising to observe species not specific to red foxes, badgers, or genets (65). Regarding C. erinacei, previous studies have shown that up to 30% of the European population of hedgehogs (Erinaceus europaeus) shed this parasite into the environment, therefore contributing to its spreading (72). Additionally, it has been previously detected in humans (73).
However, this raises the hypothesis of whether the presence of this parasite is due to the consumption of infected animals and the development of the infection (therefore making infected mesocarnivores to act as true hosts) or are simply mere vehicles of Cryptosporidium (i.e., no active infection). The available literature does not allow us to reach a solid conclusion regarding which of the two exposed hypotheses is more likely; however, recent research provides more evidence for the second scenario (59). What is undeniable is that the study of the dynamics of trophic interactions in the environment is fundamental.
Finally, regarding Blastocystis, we obtained a prevalence of 8.59%, making it the most prevalent parasite in this study. There is only one previous study in Spain that analyzes the presence of this enteroparasite in wild carnivores, which, showing a prevalence of 1.6%, is lower than the present work (28), suggesting that Blastocystis distribution across Spain is quite heterogenic and, therefore, of higher concern in our study area. Additionally, we observed significant differences in prevalence values between samples obtained from different provinces; mainly, prevalence values from Valencia (5.07%, 7/138) were higher than values from Castellón (19.23%, 5/26), Alicante (7.55%, 4/53). These results, however, have to be interpreted with caution, as Valencia is the province with the highest sample size (N = 138, compared to 26 from Castellón, 53 from Alicante, and only other 4 from unknown origin). Therefore, this disparity in prevalence values could be due to the higher biased sampling effort that happened in Valencia. There were also significant differences regarding the origin of samples, with samples coming from hunted animals being lower than the other groups (6.66%,1/15), while roadkill had the highest number of positive animals (8.33%, 12/144). But, again, the results have to be considered with caution, given the disparity in the sample size from each sample origin. Additionally, due to the very limited knowledge currently available, regarding the pathophysiology of Blastocystis sp., these results are very difficult to interpret.
Blastocystis subtypes that circulate among wild mesocarnivore populations in Spain are ST7 in common genet; ST14 in European mink; and ST1, ST2, ST4, ST7 and ST14 in red fox (28). In our study, we detected ST4 (N = 1) and ST15 (N = 1) in common genet; ST3 (N = 1), ST5 (N = 5), ST6 (N = 1), ST7 (N = 3) and ST15 (N = 2) in red foxes and ST15 (N = 1) in European mink. Additionally, we also found ST5 (N = 1) and ST15 (N = 1) in stone marten, ST5 (N = 1) in Eurasian badger and ST5 (N = 1) in the common weasel. Some of these subtypes have also been found in humans. To the authors’ knowledge, this study has analyzed the widest range of potential Blastocystis sp. hosts (nine mesocarnivore species) that can be found in Spain; and has also detected the enteroparasite in six out of nine species.
Recently, Figueiredo et al. (74) investigated the presence of Blastocystis in various wild ruminants across the Iberian Peninsula, reporting a prevalence of 13.8% using conventional PCR and next-generation amplicon sequencing. Results in carnivores are generally lower, as it is believed that carnivores are less prone to Blastocystis colonization (75). Moreover, the variety of Blastocystis subtypes tends to decrease as the host’s diet becomes more specialized (75), which would explain why a generalist carnivore such as the red fox shows the greatest diversity found in our study. A total of 15 Blastocystis subtypes (STs) were identified, including 14 previously known STs (ST2, ST5, ST10, ST13, ST14, ST21, ST23–ST26, ST30, and ST42–ST44), and one novel subtype, designated ST49.
Despite the apparent absence of strict host specificity among Blastocystis subtypes, comparative analysis with our data from wild mesocarnivores revealed overlap in only a single subtype, ST5, even though both host groups inhabit the same ecosystems. This observation suggests that environmental exposure alone does not fully account for the distribution of subtypes, and that host-related factors—such as differences in gut physiology, diet, immune response, or microbiome composition—may significantly influence host susceptibility and subtype establishment.
At a European level, presence of Blastocystis has been studied in red fox, wolf (Canis lupus), Eurasian badger and wild boar (Sus scrofa) in Slovakia, detecting its presence only in wild boar (76). Globally, in northeastern China they observed that the prevalence of this parasite was higher in birds (7%) than in wild mammals (3.8%) (77, 78).
Despite being a parasite that has caught the interest of the scientific community in recent years, there are still many unknown aspects of its pathogenesis and biological cycle. Furthermore, the number of studies to detect Blastocystis presence in wildlife and the potential transmission from wildlife to humans is still severely limited.
Interestingly, co-infections were also detected between different parasites and in different species; with the red fox being the source of two of the observed combinations (G. duodenalis and Cryptosporidium spp., and Cryptosporidum spp. and Blastocystis sp.). Although the studied parasites occupy different sections from the gastrointestinal tract, all of them are shed through their faeces and their main transmission route is faecal-oral or through the exposure of contaminated food and/or water sources. Therefore, these results can indicate exposure to environmental hotspots where multiple zoonotic agents circulate. Such co-infections may also influence parasite dynamics by increasing shedding intensity or prolonging infection, thereby enhancing the potential for environmental contamination. These findings reinforce the role of mesocarnivores as important reservoirs or bridge hosts within anthropized landscapes, where close spatial overlap with humans and domestic animals may facilitate multi-pathogen transmission under a One Health framework. Furthermore, the detection of the three parasite species in the red fox; coupled with being the species in our study that had the highest diversity of Cryptosporidium spp. species, and presented two of the co-infection combinations suggests that the red fox is the most important mesocarnivore species regarding zoonotic risk transmission potential (out of all the mesocarnivore species studied in this work). Thus, given its classification as a game species in Spain, could suggest that the red fox is a good candidate as a sentinel species to monitor these parasites prevalence in the environment.
5 Conclusion
It is confirmed that Giardia duodenalis, Cryptosporidium spp. and Blastocystis are present in wild mesocarnivore populations distributed throughout the Valencian Community (Eastern Spain), although their prevalence is low. Giardia is the most detected parasite, found in seven out of the nine species under investigation. Additionally, wild mesocarnivore species in Valencian Community act as hosts for Cryptosporidium spp. (C. meleagridis, C. ditrichi, C. canis, C. erinacei, C. muris) and diverse subtypes of Blastocystis sp. (ST3, ST4, ST5, ST6, ST7) with zoonotic potential, posing a risk to public health. Finally, wild mesocarnivores carry various species of Cryptosporidium spp. from the prey they consume. This finding emphasizes the importance of understanding not only the biology of the parasite but also the dynamics of trophic interactions in ecosystems.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://www.ncbi.nlm.nih.gov/nuccore/ accession numbers: PP002598 to PP002601, PP002606- PP002613.
Ethics statement
Ethical approval was not required for the study involving animals in accordance with the local legislation and institutional requirements because all carnivores were sampled post mortem. Animals obtained from accidental roadkills were collected thanks to collaborators or through agreements with road maintenance companies. The carcasses of individuals from protected species that died during clinical procedures were provided by staff from La Granja de El Saler Wildlife Rescue Center, under the collaboration agreement established between the regional government of the Generalitat Valenciana and CEU Cardenal Herrera University (Ref717_18, dated November 30, 2018). Some foxes were obtained from hunting activities carried out independently from our research, given that this species is classified as game by Valencian legislation (Law 13/2004; BOE-A-2005-2358). American minks were obtained from individuals humanely euthanized in invasive species eradication programs (Valencian Decree 213/2009 and Spanish Royal Decree 630/2013), also developed independently from our research. According to EU and national legislation (Directive 2010/63/EU and Spanish Royal Decree 53/2013), no permission or consent was required to conduct the research reported herein.
Author contributions
AM-M: Writing – original draft, Data curation, Resources, Conceptualization, Methodology. SM: Software, Formal analysis, Writing – review & editing, Investigation. IT-B: Formal analysis, Software, Writing – review & editing. JC: Writing – review & editing, Methodology, Conceptualization, Funding acquisition. VL: Resources, Data curation, Writing – original draft, Investigation. MD-A: Methodology, Conceptualization, Writing – original draft, Investigation, Funding acquisition.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This research was partially funded by Project FUSPBS-PPC24/2018.
Acknowledgments
The authors wish to thank the collaboration of numerous hunters, the workers responsible for the maintenance of the CV35 highway, the staff of the wildlife recovery center La Granja de El Saler, as well as the personnel from the Hunting and Fishing Service under the Generalitat Valenciana, the environmental officers, and the staff involved in the American mink eradication program, who kindly provided samples for this study.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Footnotes
References
1. Bateman, PW, and Fleming, PA. Big city life: carnivores in urban environments. J Zool. (2012) 287:1–23. doi: 10.1111/j.1469-7998.2011.00887.x
2. Torre, I, Pulido, T, Vilella, M, and Díaz, M. Mesocarnivore distribution along gradients of anthropogenic disturbance in Mediterranean landscapes. Diversity. (2022) 14:133. doi: 10.3390/d14020133
3. Linck, P, Palomares, F, Negrões, N, Rossa, M, Fonseca, C, Couto, A, et al. Increasing homogeneity of Mediterranean landscapes limits the co-occurrence of mesocarnivores in space and time. Landsc Ecol. (2023) 38:3657–73. doi: 10.1007/s10980-023-01749-0
4. Veronesi, F, Deak, G, and Diakou, A. Wild Mesocarnivores as reservoirs of Endoparasites causing important Zoonoses and emerging bridging infections across Europe. Pathogens. (2023) 12:178. doi: 10.3390/pathogens12020178
5. Recio, MR, Arija, CM, Cabezas-Díaz, S, and Virgós, E. Changes in Mediterranean mesocarnivore communities along urban and ex-urban gradients. Curr Zool. (2015) 61:793–801. doi: 10.1093/czoolo/61.5.793
6. Sáenz-de-Santa-María, A, and Tellería, JL. Wildlife-vehicle collisions in Spain. Eur J Wildl Res. (2015) 61:399–406. doi: 10.1007/s10344-015-0907-7
7. Sévêque, A, Gentle, LK, López-Bao, JV, Yarnell, RW, and Uzal, A. Human disturbance has contrasting effects on niche partitioning within carnivore communities. Biol Rev. (2020) 95:1689–705. doi: 10.1111/brv.12635
8. Hildebrand, J, Jurczyk, K, Popiołek, M, Buńkowska-Gawlik, K, and Perec-Matysiak, A. Occurrence of Borrelia sp. among wild living invasive and native Mesocarnivores in Poland. Animals. (2022) 12:2829. doi: 10.3390/ani12202829
9. Thompson, RCA, and Monis, PT. Variation in Giardia: implications for taxonomy and epidemiology. Adv. Parasitol. (2004) 58:69–137. doi: 10.1016/S0065-308X(04)58002-8
10. Appelbee, AJ, Thompson, RCA, and Olson, ME. Giardia and Cryptosporidium in mammalian wildlife – current status and future needs. Trends Parasitol. (2005) 21:370–6. doi: 10.1016/j.pt.2005.06.004
11. Fayer, R. Cryptosporidium: a water-borne zoonotic parasite. Vet Parasitol. (2004) 126:37–56. doi: 10.1016/j.vetpar.2004.09.004
12. Scanlan, PD, and Stensvold, CR. Blastocystis: getting to grips with our guileful guest. Trends Parasitol. (2013) 29:523–9. doi: 10.1016/j.pt.2013.08.006
13. Chalmers, RM, and Davies, AP. Minireview: clinical cryptosporidiosis. Exp Parasitol. (2010) 124:138–46. doi: 10.1016/j.exppara.2009.02.003
14. WHO, FAO. Multicriteria-based ranking for risk management of food-borne parasites: Report of a joint FAO/WHO expert meeting, 3–7 September 2012 [internet]. Rome: WHO (2014)
15. Ignatius, R, Gahutu, JB, Klotz, C, Steininger, C, Shyirambere, C, Lyng, M, et al. High prevalence of Giardia duodenalis assemblage B infection and association with underweight in Rwandan children. PLoS Negl Trop Dis. (2012) 6:e1677. doi: 10.1371/journal.pntd.0001677
16. Mohammed Mahdy, AK, Surin, J, Wan, KL, Mohd-Adnan, A, Al-Mekhlafi, MSH, and Lim, YAL. Giardia intestinalis genotypes: risk factors and correlation with clinical symptoms. Acta Trop. (2009) 112:67–70. doi: 10.1016/j.actatropica.2009.06.012
17. Trelis, M, Sáez-Durán, S, Puchades, P, Castro, N, Miquel, A, Gozalbo, M, et al. Survey of the occurrence of Giardia duodenalis cysts and Cryptosporidium spp. oocysts in green leafy vegetables marketed in the city of Valencia (Spain). Int J Food Microbiol. (2022) 379:109847. doi: 10.1016/j.ijfoodmicro.2022.109847
18. Wang, W, Wei, Y, Cao, S, Wu, W, Zhao, W, Guo, Y, et al. Divergent Cryptosporidium species and host-adapted Cryptosporidium canis subtypes in farmed minks, raccoon dogs and foxes in Shandong, China. Front Cell Infect Microbiol. (2022) 41:12. doi: 10.3389/fcimb.2022.980917
19. Martí-Marco, A, Moratal, S, Torres-Blas, I, Cardells, J, Lizana, V, and Dea-Ayuela, MA. Molecular detection and epidemiology of potentially zoonotic Cryptosporidium spp. and Giardia duodenalis in wild boar (Sus scrofa) from eastern Spain. Animals. (2023) 13:2501. doi: 10.3390/ani13152501
20. Castro-Hermida, JA, García-Presedo, I, González-Warleta, M, and Mezo, M. Prevalence of Cryptosporidium and Giardia in roe deer (Capreolus capreolus) and wild boars (Sus scrofa) in Galicia (NW, Spain). Vet Parasitol. (2011) 179:216–9. doi: 10.1016/j.vetpar.2011.02.023
21. Dashti, A, Köster, PC, Bailo, B, AS, las Matasde, Habela, MÁ, Rivero-Juarez, A, et al. Occurrence and limited zoonotic potential of Cryptosporidium spp., Giardia duodenalis, and Balantioides coli infections in free-ranging and farmed wild ungulates in Spain. Res Vet Sci 2023; 159:189–197. doi: 10.1016/j.rvsc.2023.04.020
22. Rivero-Juarez, A, Dashti, A, López-López, P, Muadica, AS, de los A, Risalde M, Köster, PC, et al. Protist enteroparasites in wild boar (Sus scrofa ferus) and black Iberian pig (Sus scrofa domesticus) in southern Spain: a protective effect on hepatitis E acquisition? Parasite & Vectors. 2020; 13:281. doi: 10.1186/s13071-020-04152-9
23. Reboredo-Fernández, A, Ares-Mazás, E, Cacciò, SM, and Gómez-Couso, H. Occurrence of Giardia and Cryptosporidium in wild birds in Galicia (Northwest Spain). Parasitology. (2015) 142:917–25. doi: 10.1017/S0031182015000049
24. Vioque, F, Dashti, A, Santín, M, Ruiz-Fons, F, Köster, PC, Hernández-Castro, C, et al. Wild micromammal host spectrum of zoonotic eukaryotic parasites in Spain. Occurrence and genetic characterisation. Transbound Emerg Dis. (2022) 69:1–12. doi: 10.1111/tbed.14643
25. Gómez-Couso, H, Méndez-Hermida, F, and Ares-Mazás, E. First report of Cryptosporidium parvum ‘ferret’ genotype in American mink (Mustela vison Shreber 1777). Parasitol Res. (2007) 100:877–9. doi: 10.1007/s00436-006-0338-1
26. Mateo, M, de Mingo, MH, de Lucio, A, Morales, L, Balseiro, A, Espí, A, et al. Occurrence and molecular genotyping of Giardia duodenalis and Cryptosporidium spp. in wild mesocarnivores in Spain. Vet Parasitol. (2017) 235:86–93. doi: 10.1016/j.vetpar.2017.01.016
27. Dwużnik-Szarek, D, Mierzejewska, EJ, Kurek, K, Krokowska-Paluszak, M, Opalińska, P, Stańczak, Ł, et al. Red fox (Vulpes vulpes) and wolf (Canis lupus) as a reservoir of Cryptosporidium spp. and Giardia intestinalis in Poland. Pathogens. (2025) 14:500. doi: 10.3390/pathogens14050500
28. Calero-Bernal, R, Santín, M, Maloney, JG, Martín-Pérez, M, Habela, MA, Fernández-García, JL, et al. Blastocystis sp. subtype diversity in wild carnivore species from Spain. J Eukaryot Microbiol. (2020) 67:273–8. doi: 10.1111/jeu.12772
29. Méndez-Hermida, F, Gómez-Couso, H, Romero-Suances, R, and Ares-Mazás, E. Cryptosporidium and Giardia in wild otters (Lutra lutra). Vet Parasitol. (2007) 144:153–6. doi: 10.1016/j.vetpar.2006.09.029
30. Wang, W, Cuttell, L, Bielefeldt-Ohmann, H, Inpankaew, T, Owen, H, and Traub, RJ. Diversity of Blastocystis subtypes in dogs in different geographical settings. Parasit Vectors. (2013) 6:215. doi: 10.1186/1756-3305-6-215
31. Lizana, V, Gortázar, C, Muniesa, A, Cabezón, Ó, Martí-Marco, A, López-Ramon, J, et al. Human and environmental factors driving toxoplasma gondii prevalence in wild boar (Sus scrofa). Res Vet Sci. (2021) 141:56–62. doi: 10.1016/j.rvsc.2021.10.007
32. GBIF GBIFacility. Vulpes vulpes [Internet]. (2023). Available online at: https://www.gbif.org/species/5219243 (accessed October 25, 2025).
33. De Blas, I, Ortega, C, Franjea, K, Noordhuizen, J, and Trusfield, M. WinEpiscope 2.0. Wageningen: Zaragoza (1998).
34. Barrera, JP, Carmena, D, Rodríguez, E, Checa, R, López, AM, Fidalgo, LE, et al. The red fox (Vulpes vulpes) as a potential natural reservoir of human cryptosporidiosis by Cryptosporidium hominis in Northwest Spain. Transbound Emerg Dis. (2020) 67:2172–2182. doi: 10.1111/tbed.13569
35. Hamnes, IS, Gjerde, BK, Forberg, T, and Robertson, LJ. Occurrence of Giardia and Cryptosporidium in Norwegian red foxes (Vulpes vulpes). Vet Parasitol. (2007) 143:347–53. doi: 10.1016/j.vetpar.2006.08.032
36. Perrucci, S, Maestrini, M, Coppola, F, Di Marco, M, Di, RA, Pacini, MI, et al. Gray wolf (Canis lupus italicus) and red fox (Vulpes vulpes) parasite survey in Anthropized and natural areas of Central Italy. Vet Sci. (2023) 10:108. doi: 10.3390/vetsci10020108
37. Gómez, C, del P, Nieto M, and Burgui, JM. Estadísticas cinegéticas de la Comunidad Valenciana. Memoria 2021 (Temporada 2020/2021). Valencia : Generalitat Valenciana. 2022.
38. Dacal, E, Saugar, JM, de Lucio, A, Hernández-de-Mingo, M, Robinson, E, Köster, PC, et al. Prevalence and molecular characterization of Strongyloides stercoralis, Giardia duodenalis, Cryptosporidium spp., and Blastocystis spp. isolates in school children in Cubal, Western Angola. Parasit Vectors. (2018) 11:67. doi: 10.1186/s13071-018-2640-z
39. Verweij, JJ, Schinkel, J, Laeijendecker, D, van Rooyen, MAA, van Lieshout, L, and Polderman, AM. Real-time PCR for the detection of Giardia lamblia. Mol Cell Probes. (2003) 17:223–5. doi: 10.1016/S0890-8508(03)00057-4
40. Read, CM, Monis, PT, and Andrew Thompson, RC. Discrimination of all genotypes of Giardia duodenalis at the glutamate dehydrogenase locus using PCR-RFLP. Infect Genet Evol. (2004) 4:125–30. doi: 10.1016/j.meegid.2004.02.001
41. Cacciò, SM, De Giacomo, M, and Pozio, E. Sequence analysis of the β-giardin gene and development of a polymerase chain reaction–restriction fragment length polymorphism assay to genotype Giardia duodenalis cysts from human faecal samples. Int J Parasitol. (2002) 32:1023–30. doi: 10.1016/S0020-7519(02)00068-1
42. Ryan, U, Xiao, L, Read, C, Zhou, L, Lal, AA, and Pavlasek, I. Identification of novel Cryptosporidium genotypes from the Czech Republic. Appl Environ Microbiol. (2003) 69:4302–7. doi: 10.1128/AEM.69.7.4302-4307.2003
43. Gantois, N, Lamot, A, Seesao, Y, Creusy, C, Li, LL, Monchy, S, et al. First report on the prevalence and subtype distribution of Blastocystis sp. in edible marine fish and marine mammals: A large scale-study conducted in Atlantic northeast and on the coasts of northern France. Microorganisms. (2020) 8:460. doi: 10.3390/microorganisms8030460
44. Poirier, P, Wawrzyniak, I, Albert, A, El Alaoui, H, Delbac, F, and Livrelli, V. Development and evaluation of a real-time PCR assay for detection and quantification of Blastocystis parasites in human stool samples: prospective study of patients with hematological malignancies. J Clin Microbiol. (2011) 49:975–83. doi: 10.1128/JCM.01392-10
45. Kumar, S, Stecher, G, Li, M, Knyaz, C, and Tamura, K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. (2018) 35:1547–9. doi: 10.1093/molbev/msy096
46. Hartig, F. DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models_. R package version 0.4.7 (2024).
48. Dashti, A, Rivero-Juárez, A, Santín, M, George, NS, Köster, PC, López-López, P, et al. Diarrhoea-causing enteric protist species in intensively and extensively raised pigs (Sus scrofa domesticus) in southern Spain. Part I: prevalence and genetic diversity. Transbound Emerg Dis. (2022) 69:4. doi: 10.1111/tbed.14388
49. Figueiredo, AM, Köster, PC, Dashti, A, Torres, RT, Fonseca, C, Mysterud, A, et al. Molecular detection and distribution of Giardia duodenalis and Cryptosporidium spp. infections in wild and domestic animals in Portugal. Transbound Emerg Dis. (2023) 2023:1–31. doi: 10.1155/2023/5849842
50. Castro-Hermida, JA, García-Presedo, I, González-Warleta, M, and Mezo, M. Cryptosporidium and Giardia detection in water bodies of Galicia. Spain Water Res. (2010) 44:5887–96. doi: 10.1016/j.watres.2010.07.010
51. Carmena, D, Aguinagalde, X, Zigorraga, C, Fernández-Crespo, JC, and Ocio, JA. Presence of Giardia cysts and Cryptosporidium oocysts in drinking water supplies in northern Spain. J Appl Microbiol. (2007) 102:619–29. doi: 10.1111/j.1365-2672.2006.03193.x
52. Erickson, MC, and Ortega, YR. Inactivation of protozoan parasites in food, water, and environmental systems. J Food Prot. (2006) 69:2786–808. doi: 10.4315/0362-028X-69.11.2786
53. Onac, D, Oltean, M, Mircean, V, Jarca, A, and Cozma, V. Occurrence of Giardia duodenalis zoonotic assemblages in red foxes from Romania. Sci Parasitol. (2015) 22:177–80.
54. Beck, R, Sprong, H, Lucinger, S, Pozio, E, and Cacciò, SM. A large survey of Croatian wild mammals for Giardia duodenalis reveals a low prevalence and limited zoonotic potential. Vector-Borne Zoonotic Dis. (2011) 11:1049–55. doi: 10.1089/vbz.2010.011
55. Stojecki, K, Sroka, J, Caccio, SM, Cencek, T, Dutkiewicz, J, and Kusyk, P. Prevalence and molecular typing of Giardia duodenalis in wildlife from eastern Poland. Folia Parasitol. (2015) 62:1–12. doi: 10.14411/fp.2015.042
56. Debenham, JJ, Landuyt, H, Troell, K, Tysnes, K, and Robertson, LJ. Occurrence of Giardia in Swedish red foxes (Vulpes vulpes). J Wildl Dis. (2017) 53:649–52. doi: 10.7589/2017-01-002
57. Maestrini, M, Berrilli, F, Di Rosso, A, Coppola, F, Guadano Procesi, I, Mariacher, A, et al. Zoonotic Giardia duodenalis genotypes and other gastrointestinal parasites in a badger population living in an Anthropized area of Central Italy. Pathogens. (2022) 11:906. doi: 10.3390/pathogens11080906
58. Velante, NAP, Oronan, RB, Reyes, MF, and Divina, BP. Giardia duodenalis in captive tigers (Panthera tigris), Palawan bearcats (Arctictis binturong whitei) and Asian palm civet (Paradoxurus hermaphroditus) at a wildlife Facility in Manila. Philippines Iran J Parasitol. (2017) 12:348–54.
59. Perec-Matysiak, A, Hildebrand, J, Popiołek, M, and Buńkowska-Gawlik, K. The occurrence of Cryptosporidium spp. in wild-living carnivores in Poland—A question concerning its host specificity. Pathogens. (2023) 12:198. doi: 10.3390/pathogens12020198
60. Al-Amery, AR, and Al-Amery, AMA. Molecular diagnosis of Cryptosporidium spp. in water buffaloes at Babylon province, Iraq. Iraqi J. Agric. Sci. (2022) 53:147–56. doi: 10.36103/ijas.v53i1.1519
61. Petersen, HH, Jianmin, W, Katakam, KK, Mejer, H, Thamsborg, SM, Dalsgaard, A, et al. Cryptosporidium and Giardia in Danish organic pig farms: seasonal and age-related variation in prevalence, infection intensity and species/genotypes. Vet Parasitol. (2015) 214:29–39. doi: 10.1016/j.vetpar.2015.09.020
62. Gong, C, Cao, XF, Deng, L, Li, W, Huang, XM, Lan, JC, et al. Epidemiology of Cryptosporidium infection in cattle in China: a review. Parasite. (2017) 24:1. doi: 10.1051/parasite/2017001
63. Ebner, J, Koehler, AV, Robertson, G, Bradbury, RS, Jex, AR, Haydon, SR, et al. Genetic analysis of Giardia and Cryptosporidium from people in northern Australia using PCR-based tools. Infect Genet Evol. (2015) 36:389–95. doi: 10.1016/j.meegid.2015.08.034
64. Hayes, L, Robinson, G, Chalmers, RM, Ormerod, SJ, Paziewska-Harris, A, Chadwick, EA, et al. The occurrence and zoonotic potential of Cryptosporidium species in freshwater biota. Parasit Vectors. (2023) 16:209. doi: 10.1186/s13071-023-05827-9
65. Kvac, M, Myskova, E, Holubova, N, Kellnerova, K, Kicia, M, Rajsky, D, et al. Occurrence and genetic diversity of Cryptosporidium spp. in wild foxes, wolves, jackals, and bears in Central Europe. Folia Parasitol (Praha). (2021):68. doi: 10.14411/fp.2021.002
66. Nagano, Y, Finn, MB, Lowery, CJ, Murphy, T, Moriarty, J, Power, E, et al. Occurrence of Cryptosporidium parvum and bacterial pathogens in Faecal material in the red fox (Vulpes vulpes) population. Vet Res Commun. (2007) 31:559–64. doi: 10.1007/s11259-007-3519-1
67. Ravaszova, P, Halanova, M, Goldova, M, Valencakova, A, Malcekova, B, Hurníková, Z, et al. Occurrence of Cryptosporidium spp. in red foxes and brown bear in the Slovak Republic. Parasitol Res. (2012) 110:469–71. doi: 10.1007/s00436-011-2523-0
68. Kváč, M, Květoňová, D, Sak, B, and Ditrich, O. Cryptosporidium pig genotype II in immunocompetent man. Emerg Infect Dis. (2009) 15:982–3. doi: 10.3201/eid1506.07621
69. Ryan, U, Fayer, R, and Xiao, L. Cryptosporidium species in humans and animals: current understanding and research needs. Parasitology. (2014) 141:1667–85. doi: 10.1017/S0031182014001085
70. Xiao, L, Bern, C, Arrowood, M, Sulaiman, I, Zhou, L, Kawai, V, et al. Identification of the Cryptosporidium pig genotype in a human patient. J Infect Dis. (2002) 185:1846–8. doi: 10.1086/340841
71. Yu, Z, Wen, X, Huang, X, Yang, R, Guo, Y, Feng, Y, et al. Molecular characterization and zoonotic potential of Enterocytozoon bieneusi, Giardia duodenalis and Cryptosporidium sp. in farmed masked palm civets (Paguma larvata) in southern China. Parasit Vectors. (2020) 13:403. doi: 10.1186/s13071-020-04274-0
72. Dyachenko, V, Kuhnert, Y, Schmaeschke, R, Etzold, M, Pantchev, N, and Daugschies, A. Occurrence and molecular characterization of Cryptosporidium spp. genotypes in European hedgehogs (Erinaceus europaeus L.) in Germany. Parasitology. (2010) 137:205–16. doi: 10.1017/S0031182009991089
73. Larsen, TG, Kähler, J, Lebbad, M, Aftab, H, Müller, L, Ethelberg, S, et al. First human infection with Cryptosporidium erinacei XIIIb – a case report from Denmark. Travel Med Infect Dis. (2023) 52:102552. doi: 10.1016/j.tmaid.2023.102552
74. Figueiredo, AM, Dashti, A, Maloney, JG, Molokin, A, George, NS, Köster, PC, et al. Blastocystis in free-ranging wild ruminant species across the Iberian Peninsula. Vet Res. (2025) 56:145. doi: 10.1186/s13567-025-01563-3
75. Caballero-Gómez, J, Ávalos, G, Matas-Méndez, P, Figueiredo, AM, Castro-Scholten, S, Jiménez-Martín, D, et al. Dietary profiles of wild carnivores and Blastocystis occurrence: the case of the endangered Iberian lynx (Lynx pardinus) and systematic review. Res Vet Sci. (2025) 184:105518. doi: 10.1016/j.rvsc.2024.105518
76. Valenčáková, A, Sučik, M, Danišová, O, Kandráčová, P, Tomko, M, and Valocký, I. Detection of Blastocystis spp., Cryptosporidium spp. and Encephalitozoon spp. among wild animals from eastern Slovakia. Acta Vet Hung. (2022) 70:220–5. doi: 10.1556/004.2022.00026
77. Wang, J, Gong, B, Liu, X, Zhao, W, Bu, T, Zhang, W, et al. Distribution and genetic diversity of Blastocystis subtypes in various mammal and bird species in northeastern China. Parasit Vectors. (2018) 11:522. doi: 10.1186/s13071-018-3106-z
78. Sammarro Silva, KJ, and Sabogal-Paz, LP. (Oo)Cysts as target-organisms in sanitation and environmental monitoring: a review in microscopy-based viability assays. Water Res. (2021) 189:116590. doi: 10.1016/j.watres.2020.116590
Keywords: Blastocystis, Cryptosporidium spp., enteric parasites, Giardia duodenalis , human–wildlife interface, wild mesocarnivores, zoonotic transmission
Citation: Martí-Marco A, Moratal S, Torres-Blas I, Cardells J, Lizana V and Dea-Ayuela MA (2026) Molecular detection of zoonotical Giardia duodenalis, Cryptosporidium spp. and Blastocystis in wild mesocarnivores from Eastern Spain. Front. Vet. Sci. 12:1736482. doi: 10.3389/fvets.2025.1736482
Edited by:
Galia Andrea Ramirez-Toloza, University of Chile, ChileReviewed by:
Daniel A. Abugri, Alabama State University, United StatesChia-Hui Hsu, University of Minnesota Twin Cities, United States
Juliane Goulart, Federal University of Santa Catarina, Brazil
Copyright © 2026 Martí-Marco, Moratal, Torres-Blas, Cardells, Lizana and Dea-Ayuela. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Víctor Lizana, dmljdG9yLmxpemFuYUB1Y2hjZXUuZXM=; María Auxiliadora Dea-Ayuela, bWRlYUB1Y2hjZXUuZXM=
†These authors have contributed equally to this work