Abstract
Background
Schistosomiasis and food-borne trematodiases are not only of major public health concern, but can also have profound implications for livestock production and wildlife conservation. The zoonotic, multi-host nature of many digenean trematodes is a significant challenge for disease control programmes in endemic areas. However, our understanding of the epidemiological role that animal reservoirs, particularly wild hosts, may play in the transmission of zoonotic trematodiases suffers a dearth of information, with few, if any, standardised, reliable diagnostic tests available. We combined qualitative and quantitative data derived from post-mortem examinations, coprological analyses using the Mini-FLOTAC technique, and molecular tools to assess parasite community composition and the validity of non-invasive methods to detect trematode infections in 89 wild Hubert’s multimammate mice (Mastomys huberti) from northern Senegal.
Results
Parasites isolated at post-mortem examination were identified as Plagiorchis sp., Anchitrema sp., Echinostoma caproni, Schistosoma mansoni, and a hybrid between Schistosoma haematobium and Schistosoma bovis. The reports of E. caproni and Anchitrema sp. represent the first molecularly confirmed identifications for these trematodes in definitive hosts of sub-Saharan Africa. Comparison of prevalence estimates derived from parasitological analysis at post-mortem examination and Mini-FLOTAC analysis showed non-significant differences indicating comparable results between the two techniques (P = 1.00 for S. mansoni; P = 0.85 for E. caproni; P = 0.83 for Plagiorchis sp.). A Bayesian model, applied to estimate the sensitivities of the two tests for the diagnosis of Schistosoma infections, indicated similar median posterior probabilities of 83.1% for Mini-FLOTAC technique and 82.9% for post-mortem examination (95% Bayesian credible intervals of 64.0–94.6% and 63.7–94.7%, respectively).
Conclusions
Our results showed that the Mini-FLOTAC could be applied as an alternative diagnostic technique for the detection of the zoonotic S. mansoni and other trematodes in rodent reservoirs. The implementation of non-invasive diagnostics in wildlife would offer numerous advantages over lethal sampling methodologies, with potential impact on control strategies of zoonotic helminthiases in endemic areas of sub-Saharan Africa and on fostering a framework of animal use reduction in scientific practice.
Keywords: Diagnostics, Mastomys huberti, Mini-FLOTAC, Parasites, Schistosomiasis, Trematodes, Wildlife, West Africa, Zoonoses
Background
Digenean trematodes (phylum Platyhelminthes) are characterised by complex life cycles involving replication by asexual reproduction within their intermediate hosts and transmission to vertebrate definitive hosts via ingestion, with sexual reproduction of the hermaphroditic adult parasites in their final infection site [1]. The sole exception is represented by members of the family Schistosomatidae, which are dioecious parasites (i.e. separate sexes) infecting their definitive host via skin penetration [2]. Trematodiases are of great medical and veterinary importance, responsible for public health issues, economic losses, and conservation concerns [3–6]. Estimates from the World Health Organization show that globally about 220 million people required preventive treatment for schistosomiasis in 2017 [7], while millions of people are suffering one or more food-borne trematodiases [8].
The complex multi-host, zoonotic nature of trematodiases may have a considerable impact on the outcome of disease control programmes in endemic areas [9, 10]. The role of wild small mammals as disease reservoirs is emerging as a public health concern, and the involvement of rodents in the transmission of human agents of schistosomiasis (e.g. Schistosoma japonicum and Schistosoma mansoni) in different regions of the world is a noteworthy example [11–13]. To date, the characterisation of helminth communities infecting wildlife has largely relied on lethal sampling, severely restricting the host species that can be studied, the adequacy of sampling strategies and sizes, and the scope of the scientific questions that can be addressed [14]. However, diagnostic approaches based on faecal egg count (FEC) techniques alone in wild hosts are inevitably limited to a coarse morphological identification of parasitic elements, often to the taxonomic ranks of either order or family, preventing the fine-scale partition of parasite fauna composition [14, 15]. DNA-based methods could contribute significantly to the correct identification of parasitic taxa while implementing non-invasive sampling strategies. Nevertheless, the exclusive application of molecular techniques may under represent parasite community composition and inaccurately depict quantitative estimates of infection if inferences are not properly tested [9, 14].
The diagnostic accuracy and applicability of a range of methodologies have been tested for the improved detection of trematodiases in humans (e.g. rapid tests for circulating antigens, urine and stool microscopy, serological tests, and DNA-based methods) [16–18]. In contrast, our understanding of the epidemiological role that animal reservoirs, particularly wild hosts, may play in the transmission of zoonotic trematodiases is constrained by a dearth of information and standardised, reliable diagnostic tests available [9]. Our aim was to assess trematode infections in wild Hubert’s multimammate mice (Mastomys huberti) from northern Senegal via the concerted application of post-mortem examination, FEC using the Mini-FLOTAC technique, and molecular analysis. Mini-FLOTAC, combined with Fill-FLOTAC, is a tool based on the flotation of parasitic eggs without requiring a centrifuge (and therefore power supply) for processing [19]. Furthermore, a portion of the faecal samples can be fixed in formalin and stored prior to the analysis, making the method versatile and easy to implement in resource-limited field settings [19–21]. In particular, our objective was to assess the performance of the Mini-FLOTAC as an alternative tool for the detection of Schistosoma infections in rodent reservoirs, and therefore its future applicability within non-invasive sampling schemes.
Methods
Post-mortem examination
Between May 2016 and December 2017, sampling of small mammals was conducted at sites in and around the town of Richard Toll (16° 27ʹ N, 15° 41ʹ W) and on the shores of Lake Guiers (16° 15ʹ N, 15° 51ʹ W), Senegal, following methodologies previously described [13, 22]. At post-mortem examination of M. huberti, thoracic and abdominal organs were dissected, scraped, washed with tap water, and observed for the presence of helminths using a glass tray against a black background. The isolated adult digeneans were microscopically identified to the genus level based on their morphology (see identification keys in [23]), counted to quantify infection intensity, and stored in 95% ethanol at − 20 °C until molecular analysis. Morphological identification of preserved specimens was obtained after staining in Semichon’s carmine, immersion in clearing medium (i.e. ethanol followed by xylene), and mounting on a microscope slide using Canada balsam. For Plagiorchis isolates, infection intensity was quantified up to 61 worms per organ; time constraints during fieldwork prevented the integral count of Plagiorchis parasites observed in the biliary tract and/or small intestine, therefore the value > 61 was used to indicate higher intensities. During post-mortem examinations, faecal material from the necropsied individuals was collected from the rectum (n = 89) and from underneath the wire-mesh live trap (n = 8) into separate vials, weighted (0.1–0.7 g), and stored in 1.5 ml of 10% neutral-buffered formalin.
Molecular analysis
After rehydration in nuclease-free water, DNA from individual trematode specimens was extracted using either the Epicentre® MasterPure™ Complete DNA and RNA Purification Kit (Epicentre Biotechnologies, Madison, WI, USA) or the Qiagen DNeasy® Blood & Tissue Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. DNA extracts were eluted in 30 μl TE buffer and amplified for the internal transcribed spacer (ITS) of the nuclear ribosomal DNA (rDNA) and the partial cytochrome c oxidase subunit 1 gene (cox1) of the mitochondrial DNA (mtDNA) using the primer pairs ETTS1 (5′-TGC TTA AGT TCA GCG GGT-3′) and ETTS2 (5′-AAC AAG GTT TCC GTA GGT GAA-3′) [24], and 2575 (5′-TTT TTT GGG CAT CCT GAG GTT TAT-3′) and 3021 (5′-TAA AGA AAG AAC ATA ATG AAA ATG-3′) [25], respectively. Enzymatic amplification for polymerase chain reaction (PCR) was performed in 25 µl reaction mixtures including PuReTaq™ Ready-To-Go™ PCR Beads (GE Healthcare UK Limited, Little Chalfont, UK), 0.5 µmol/l of each primer and 2 µl DNA template. Cycling parameters for the ITS region consisted of an initial nucleic acid denaturation at 95 °C for 5 min, followed by 35 cycles of 95 °C for 30 s, 56 °C for 1 min, and 72 °C for 1 min, with a final extension step for 7 min at 72 °C. Cycling parameters for the cox1 gene consisted of an initial nucleic acid denaturation at 94 °C for 5 min, followed by 35 cycles of 94 °C for 30 s, 52 °C for 1 min, and 72 °C for 1 min, with a final extension step for 7 min at 72 °C. PCR products were sequenced using the original PCR primers in a 3730xl DNA Analyzer system by Eurofins Genomics (Ebersberg, Germany). Contig assembly and editing were performed with CodonCode Aligner v8.0.1 (CodonCode Corporation, Centerville, MA, USA) and the resulting sequences were compared by alignment with data available in the GenBank database.
Mini-FLOTAC technique
Faecal samples were analysed between four and six months after their collection date using the Fill-FLOTAC 2 and Mini-FLOTAC devices [19], together with a flotation solution (FS) made of zinc sulphate heptahydrate (H14O11SZn) and tap water (FS7, see [26] for further details on the different FS types). This FS7 was confirmed to be at a density of 1.35 with a hydrometer (Brannan, Cleator Moor, UK). Each faecal sample was fully transferred into a Fill-FLOTAC 2, 13.5 ml of FS7 were added to reach 1:10 dilution ratio, and the specimen was homogenised in order to fill the Mini-FLOTAC chambers following standard operating procedures [19]. After an average waiting time of 10 min to allow the flotation of parasitic eggs, we performed a double-blind observation of both Mini-FLOTAC ruled grids under an Olympus CX41 microscope equipped with an Olympus DP20 camera, counting all the parasitic eggs we observed. Eggs per gram (EPG) estimates, herein considered a proxy for infection intensity, were calculated following the described protocol [19]: we multiplied the obtained number of parasitic eggs by the multiplication factor, which was derived from dividing the dilution factor by the analysed volume (i.e. 2 ml) in the Mini-FLOTAC chambers (Table 1).
Table 1.
Grams of faeces | Dilution factora | Multiplication factorb |
---|---|---|
0.1 | 150.0 | 75.0 |
0.2 | 75.0 | 37.5 |
0.3 | 50.0 | 25.0 |
0.4 | 37.5 | 18.5 |
0.5 | 30.0 | 15.0 |
0.6 | 25.0 | 12.5 |
0.7 | 21.5 | 10.5 |
aCalculated by dividing the final volume of the solution (15 ml) by the amount of faeces analysed (0.1–0.7 g)
bCalculated by dividing the corresponding dilution factor by the analysed volume of 2 ml
Statistical analysis
Statistically significant differences in the proportion of positive individuals were analysed using Pearson’s chi-square test. After the data distribution was assessed as non-normal, significant correlations in the intensity of trematode infections between post-mortem and faecal examinations were analysed using the non-parametric Spearman’s rank correlation (ρ) coefficient. Confidence intervals (CI) at 95% level were calculated for proportions of positive individuals using the Agresti-Coull interval [27]. Statistical tests, considered significant when P ≤ 0.05, were implemented in R v3.1.2.
A Bayesian model was applied to estimate the adjusted (true) proportion of individuals positive to Schistosoma infection and the diagnostic accuracy of post-mortem examination and Mini-FLOTAC technique. The model was based on the assumption that the probability (p) of a positive test for each technique can be expressed as p = π Se + (1 − π) (1 − Sp), where π represents the true proportion of infection in the population, while Se and Sp represent the sensitivity and specificity of the diagnostic techniques, respectively [28]. Prior estimates of the sensitivity (i.e. the proportion of true positives that are correctly identified as such) for post-mortem examination and Mini-FLOTAC technique could not be derived since data, applicable to the surveyed host population, were not available. We used uninformative β-distribution priors (β ~ (1, 1)), equivalent to a uniform distribution ranging from zero to one. Specificity (i.e. the proportion of true negatives that are correctly identified as such) of each test was assumed to be 100%. Posterior probabilities were inferred using JAGS v4.3.0 [29] in conjunction with R v3.5.1 (through the rjags and coda packages), implementing two Markov Chain Monte Carlo chains, 200,000 iterations, ‛burn-inʼ of 5000, and thinning interval of 40.
Results
Based on the combined morphological and molecular analysis of rDNA and mtDNA data, the trematodes collected at post-mortem were identified as Echinostoma caproni, Plagiorchis sp., Anchitrema sp., S. mansoni, and a hybrid between Schistosoma haematobium and Schistosoma bovis. Overall, these parasites were isolated in 86 out of 89 M. huberti (96.6%; 95% CI: 90.6–98.8%), with: Plagiorchis sp. in the biliary tract and/or small intestine of 78 hosts (87.6%; 95% CI: 79.0–93.1%); Schistosoma spp. in the portal system and/or mesenteric vessels of 21 hosts (23.6%; 95% CI: 15.9–33.5%); E. caproni in the hepatic parenchyma or small intestine of 15 hosts (16.9%; 95% CI: 10.4–26.1%); and Anchitrema sp. in the small intestine of three hosts (3.4%; 95% CI: 0.7–9.9%).
The Mini-FLOTAC analysis identified parasitic eggs in 85 out of 89 individuals (95.5%; 95% CI: 88.7–98.6%), which were morphologically compatible with: Plagiorchis sp. in 76 hosts (85.4%; 95% CI: 76.5–91.4%); S. mansoni in 21 hosts (23.6%; 95% CI: 15.9–33.5%); Echinostoma sp. in 18 hosts (20.2%; 95% CI: 13.1–29.8%); and Anchitrema sp. in one host (1.1%; 95% CI: 0–0.7%) (Fig. 1). Results of the combined post-mortem examination, molecular analysis, and Mini-FLOTAC technique are summarised in Table 2. Remarkably, three hosts were positive to S. mansoni during the Mini-FLOTAC analysis while their post-mortem examination was negative and vice versa; for E. caproni, three hosts were negative at post-mortem whereas their Mini-FLOTAC analysis resulted positive.
Table 2.
Parasite | Infection | Adults (n = 80) | Juveniles (n = 9) | Total (n = 89) | ||
---|---|---|---|---|---|---|
Males (n = 45) | Females (n = 35) | Males (n = 3) | Females (n = 6) | |||
Plagiorchis sp. | ||||||
Post-mortem | Prevalence (%) | 86.7 (73.4–94.1) | 85.7 (70.1–94.2) | 100 (38.3–100) | 100 (55.7–100) | 87.6 (79.0–93.1) |
Intensity | 16 (1– > 61) | 26.5 (2– > 61) | 19 (3–45) | 21.5 (3– > 61) | 18 (1– > 61) | |
Mini-FLOTAC | Prevalence (%) | 84.4 (70.9–92.6) | 85.7 (70.1–94.2) | 66.7 (20.2–94.4) | 100 (55.7–100) | 85.4 (76.5–91.4) |
Intensity | 4687.5 (92–123,675) | 4,350 (25–134,900) | 2,962.5 (1725–2,475) | 5,212 (610–91,125) | 4,300 (25–134,900) | |
Schistosoma mansoni | ||||||
Post-mortem | Prevalence (%) | 24.4 (14.1–38.8) | 25.7 (14.0–42.3) | – | 16.7 (1.1–58.2) | 23.6 (15.9–33.5) |
Intensity | 5 (20–35) | 17 (2–64)a | – | 2 (na) | 8 (2–64a) | |
Mini-FLOTAC | Prevalence (%) | 22.2 (12.3–36.5) | 28.6 (16.2–45.2) | – | 16.7 (1.1–58.2) | 23.6 (15.9–33.5) |
Intensity | 293.5 (50–1237) | 137.5 (15–900) | – | 600 (na) | 262 (15–1237) | |
Echinostoma caproni | ||||||
Post-mortem | Prevalence (%) | 20.0 (10.7–34.0) | 14.3 (5.8–29.9) | 33.3 (5.6–79.8) | – | 16.9 (10.4–26.1) |
Intensity | 2 (1–32) | 5 (1–34) | 1 (na) | – | 2 (1–34) | |
Mini-FLOTAC | Prevalence (%) | 26.7 (15.8–41.2) | 14.3 (5.8–29.9) | 33.3 (5.6–79.8) | – | 20.2 (13.1–29.8) |
Intensity | 135 (18–52,275) | 315 (37–1,375) | 675 (na) | – | 232 (18–52,275) | |
Anchitrema sp. | ||||||
Post-mortem | Prevalence (%) | 2.2 (0–12.6) | 5.7 (0.6–19.6) | – | – | 3.4 (0.7–9.9) |
Intensity | 9 (na) | 12.5 (1–24) | – | – | 9 (1–24) | |
Mini-FLOTAC | Prevalence (%) | – | 2.9 (0–15.8) | – | – | 1.1 (0–0.7) |
Intensity | – | 750 (na) | – | – | 750 (na) |
aOne pair was formed of S. mansoni male and S. haematobium/S. bovis hybrid female [13]; however, only eggs with lateral spine, identified as S. mansoni eggs, were observed
Abbreviation: na, not applicable
The proportion of individuals positive for trematodes was not significantly different between post-mortem examination and Mini-FLOTAC technique, neither when Plagiorchis sp. (χ2 = 0.05, df = 1, P = 0.83), S. mansoni (χ2 = 0.00, df = 1, P = 1.00), and E. caproni (χ2 = 0.04, df = 1, P = 0.85) were considered singularly, nor when they were grouped (χ2 = 0.15, df = 1; P = 0.70). The median posterior estimate of the adjusted (true) proportion of individuals positive to Schistosoma infection obtained by the Bayesian model in the surveyed M. huberti was 28.3% (95% Bayesian credible intervals of 19.4–38.5%). Median posterior sensitivity estimates for Mini-FLOTAC technique and post-mortem examination in the diagnosis of Schistosoma infections were 83.1% (95% Bayesian credible intervals of 64.0–94.6%) and 82.9% (95% Bayesian credible intervals of 63.7–94.7%), respectively. Correlation between infection intensities at post-mortem examination (i.e. adult parasite counts) and Mini-FLOTAC analysis (i.e. EPG) was not significant for Plagiorchis sp. (ρ = 0.18, P = 0.19), whereas it was weak for both E. caproni (ρ = 0.51, P = 0.053) and S. mansoni (when considering the number of schistosome pairs ρ = 0.43, P = 0.038; when considering the number of schistosome individuals ρ = 0.46, P = 0.058). Comparisons for Anchitrema sp. could not be made given the small number of infections observed. Similarly, the eight faecal specimens collected from underneath the wire-mesh live trap were not sufficient for meaningful statistical comparisons; however, sensitivity of the Mini-FLOTAC technique was identical to the results obtained on rectal faecal samples collected from the same individual (Table 3).
Table 3.
Host ID | Weight of faeces (g) | Parasite | PME | MF rectum | MF trap |
---|---|---|---|---|---|
SC372 | 0.2 (0.1) | Plagiorchis sp. | 2 | 1200 | 2700 |
SC388 | 0.4 (0.1) | Plagiorchis sp. | 7 | 1831 | 8250 |
SC404 | 0.2 (0.1) | Plagiorchis sp. | 3 | – | – |
SC417 | 0.3 (0.1) | Plagiorchis sp. | 26 | 700 | 600 |
SC491 | 0.5 (0.3) | Plagiorchis sp. | > 61 | 10,350 | 31,600 |
Schistosoma mansoni | – | 15 | 50 | ||
SC492 | 0.2 (0.1) | Plagiorchis sp. | 4 | 84,112 | 57,975 |
Schistosoma mansoni | 35a | 1237 | 3225 | ||
SC496 | 0.2 (0.1) | Plagiorchis sp. | > 61 | 31,875 | 34,950 |
Schistosoma mansoni | 18 | 337 | 675 | ||
SC504 | 0.1 (0.1) | Plagiorchis sp. | 3 | 39,750 | 10,050 |
aOne pair was formed of S. mansoni male and S. haematobium/S. bovis hybrid female [13]; however, only eggs with lateral spine, identified as S. mansoni eggs, were observed
For all trematode species, representative specimens were archived at the Natural History Museum (London, UK) under the accession numbers 2018.3.7.33-38 (E. caproni), 2018.3.7.39-67 (Plagiorchis sp.), and 2019.2.13.1-3 (Anchitrema sp.). Schistosome trematodes were stored in the Schistosomiasis Collection at the Natural History Museum (SCAN) [30]. Sequencing data were deposited in the GenBank database for Schistosoma spp. (accession numbers MF776585-97 for ITS and MF919405-28 for cox1) [13], Plagiorchis sp. (accession numbers MH633855-62 for ITS and MH673675-82 for cox1) [22], and E. caproni (accession numbers MK721181-2 for ITS and MK732350-1 for cox1).
Discussion
The combination of post-mortem examination, Mini-FLOTAC, and molecular analysis was used to assess parasite community composition and FEC as a valid diagnostic method to investigate rodents as reservoirs of zoonotic and non-zoonotic trematodes. The results showed comparable sensitivity estimates for parasitological examination at post-mortem and Mini-FLOTAC, suggesting that this FEC technique could be further implemented in non-invasive sampling strategies targeting trematode infections in rodents. In particular, the diagnostic sensitivity to S. mansoni infections identified the Mini-FLOTAC as a reliable tool for future surveys on rodent reservoirs in the many regions where schistosomiasis is endemic, with the potential to significantly reduce the use of lethal sampling methods. Individuals that were positive for S. mansoni and E. caproni at FEC while negative at post-mortem examination, and vice versa, highlighted the absence of a gold standard diagnostic test potentially due to flaws inherent to either technique [31], their application by the operator [32], and the dynamics of parasitic infections (e.g. see [33] on overlooked single-sex Schistosoma spp. infections). Furthermore, the FS7 used herein for the flotation of trematode eggs interacted and partially altered the classical morphology of those parasitic elements, which suggests that calibration trials and training may be required before using the Mini-FLOTAC device [20, 34]. Recent studies have developed non-invasive approaches to combine and compare qualitative/quantitative data derived from FEC and molecular identification of parasitic taxa in wildlife [14, 35, 36]. These efforts should draw attention to the lack of tested diagnostic tools available for animal reservoirs of zoonotic helminthiases [9] and prompt the development of standardised techniques. These could be further implemented within non-lethal sampling schemes as outlined by the principles of replacement, refinement, and reduction of animal use in wildlife research (https://www.nc3rs.org.uk/wildlife-research). Such tools could offer numerous advantages over destructive methodologies in epidemiological studies, including access to larger sample sizes and repeated sampling of individuals/populations in order to explore longitudinal changes and other aspects of infection dynamics [14].
During our study, statistical correlations between infection intensity at post-mortem examination and EPG using the Mini-FLOTAC technique resulted weak for both S. mansoni and E. caproni. The accuracy of the Mini-FLOTAC is correlated with the amount of faeces examined [19]. However, while EPG values may have been affected by the inflated dilution and multiplication factors as a consequence of the small amount of faecal material analysed (i.e. between 0.1 and 0.7 g), our estimates were similar to those obtained during experimental infections of M. huberti with S. mansoni [37]. These findings support the high infection intensity values, and potentially contamination index (i.e. daily faecal excretion rates of S. mansoni eggs), for M. huberti, as also observed during epidemiological surveys of rodents harbouring S. mansoni in Brazil [38] and S. japonicum in China [39]. A further limitation may have been the long storage time in 10% formalin before processing of the specimens (i.e. between four and six months after collection date). Previous studies and the published protocol for the Mini-FLOTAC advise storage in 5% formalin and for a maximum of approximately one month in order to not impair the sensitivity of the technique [19, 21]. However, our study showed that the diagnostic sensitivity to S. mansoni did not appear to be affected by a longer waiting time before analysis.
The combined morphological and molecular analyses enabled the unequivocal identification of the digenean trematodes isolated at post-mortem examination. The finding of S. mansoni and S. haematobium/S. bovis hybrid has been previously discussed [13]. Similarly, the epidemiology, pathology, and molecular systematics of Plagiorchis sp., a previously undescribed West African lineage, has been documented [22]. To our knowledge, the reports of E. caproni and Anchitrema sp., described herein, are the first molecularly confirmed identifications for these trematodes in definitive hosts of sub-Saharan Africa (see [40–42] for data on gastropod intermediate hosts of E. caproni in the African continent). The life cycle of Anchitrema parasites is largely undetermined since, to date, they have only been recorded in the intestine of various definitive hosts in the tropics and subtropics [23, 43]. Anchitrema sanguineum is the most frequently reported taxon in mammalian hosts but, to date, identifications have been solely based on morphological traits. This species has been sporadically isolated from rats in Egypt [44] and Thailand [45], from the bat Myotis velifer in Mexico [46], and even from the intestinal tract of a domestic dog and a human in Thailand, whose infection was hypothesised to have occurred via oral transmission [43]. In contrast, the biology of E. caproni and other Echinostoma spp. is well studied. These parasites use freshwater gastropods, primarily of the families Planorbidae (e.g. Biomphalaria and Bulinus spp.) and Lymnaeidae, as first intermediate hosts, while fish, molluscs, crustaceans, and amphibians can serve as second intermediate hosts. Infection of definitive hosts (i.e. birds and mammals, including humans), and development into hermaphroditic adult parasites in their intestine and/or biliary tract, occurs by ingestion of metacercariae harboured by the second intermediate host [41, 47–49]. Therefore, echinostomiasis is considered a food-borne zoonosis: whilst the disease does not usually show clinical signs when the infection burden is low, gastrointestinal symptoms and pronounced weight loss can occur with severe infections [47, 50]. Rodents may act as reservoirs of zoonotic Echinostoma spp. by perpetuating the contamination of freshwater bodies with the parasitic eggs via defecation [51, 52]. However, identification of Echinostoma spp. and differentiation between zoonotic and non-zoonotic species can be difficult without a molecular approach due to the morphological similarity among members within the genus [53, 54].
Conclusions
We combined classical and molecular parasitological analyses for species identification and diagnostics testing of zoonotic and non-zoonotic trematodes of wildlife. Our results indicated that the Mini-FLOTAC represents a reliable technique to detect the zoonotic S. mansoni and other parasites in rodent reservoirs. A growing body of information on helminth communities of West African rodents is gradually enhancing our understanding of host use and transmission dynamics [55–57]. To date, the quantification of adult helminths during post-mortem examination remains the gold standard technique for assessing infection in wildlife; as a consequence, non-invasive methods are often untested or sporadically applied [9, 14]. Therefore, additional studies will be necessary to implement the use of the Mini-FLOTAC in non-invasive sampling strategies targeting animal hosts. Future advancements should incorporate FEC diagnostics when obtaining baseline data while testing coprological DNA-based methods. This approach would contribute significantly towards a higher diagnostic throughput and a deeper understanding of the interactions between a parasite and its host community, with potential impact on control strategies of zoonotic helminthiases and, ultimately, on fostering a framework of animal use reduction in scientific practice.
Acknowledgements
This study would have not been possible without the support of the Senegalese communities involved in the project, and in particular without the commitment by Boubacar Bâ, Alassane Ndiaye, and Cheikh Thiam and his family. We would also like to thank Rodney Bray and Vasyl Tkach for their outstanding support with the identification of trematode taxa, and acknowledge the immense contribution made by all the wild rodents trapped and sacrificed during this study.
Authors’ contributions
SC, EL and JPW conceived and designed the study. SC, CBF, EL, AB, KJM, MS, NDD and KB conducted and coordinated fieldwork. DI, GC and LR provided laboratory reagents, materials, and training. AS, SC and KJM performed the laboratory analyses. SC, AS, KJM and AB analysed the data. SC, EL and JPW drafted the manuscript. All authors provided intellectual input. All authors read and approved the final manuscript.
Funding
This study was funded by the Royal Veterinary College and the Zoonoses and Emerging Livestock Systems (ZELS) initiative including the Department for International Development, Biotechnology and Biological Sciences Research Council, Economic and Social Sciences Research Council, Medical Research Council, Natural Environment Research Council, and Defence Science and Technology Laboratory (grant numbers BB/L018985/1 and BB/N503563/1).
Availability of data and materials
All data generated or analysed during this study are included in this published article. Parasite specimens and sequencing data from this study are available in the collection of the Natural History Museum (London, UK) and in the GenBank database, respectively, under the accession numbers listed in this manuscript.
Ethics approval and consent to participate
Trapping activities were initiated after explicit consent from local authorities and land owners. Approval for live trapping and euthanasia of small mammals, in compliance with the guidelines of the American Veterinary Medical Association (https://www.avma.org/KB/Policies/Documents/euthanasia.pdf) and the Animal (Scientific Procedures) Act as implemented by the Home Office in Great Britain (https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/535574/working-with-wild-animals-160706.pdf), was obtained from the Clinical Research Ethical Review Board of The Royal Veterinary College, University of London (reference number 2016 1505).
Consent for publication
Not applicable.
Competing interests
GC is the inventor and current patent holder of the Fill-FLOTAC and Mini-FLOTAC devices. None of the other authors have any conflict of interest concerning the work reported in this published article.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Stefano Catalano, Email: scatalano@rvc.ac.uk.
Amelia Symeou, Email: ameliasymeou@yahoo.com.
Kirsty J. Marsh, Email: kimarsh@rvc.ac.uk
Anna Borlase, Email: aborlase4@rvc.ac.uk.
Elsa Léger, Email: eleger@rvc.ac.uk.
Cheikh B. Fall, Email: chek2810@yahoo.fr
Mariama Sène, Email: mariama-sene.wade@ugb.edu.sn.
Nicolas D. Diouf, Email: nicolas.diouf@gmail.com
Davide Ianniello, Email: ianniello_d@yahoo.it.
Giuseppe Cringoli, Email: cringoli@unina.it.
Laura Rinaldi, Email: lrinaldi@unina.it.
Khalilou Bâ, Email: khalilou.ba@ird.fr.
Joanne P. Webster, Email: jowebster@rvc.ac.uk
References
- 1.Roberts LS, Janovy J, Nadler S. Foundations of parasitology. 9. Boston: McGraw-Hill Education; 2013. [Google Scholar]
- 2.Colley DG, Bustinduy AL, Secor WE, King CH. Human schistosomiasis. Lancet. 2014;383:2253–2264. doi: 10.1016/S0140-6736(13)61949-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Thompson RCA, Lymbery AJ, Smith A. Parasites, emerging disease and wildlife conservation. Int J Parasitol. 2010;40:1163–1170. doi: 10.1016/j.ijpara.2010.04.009. [DOI] [PubMed] [Google Scholar]
- 4.Budischak SA, Jolles AE, Ezenwa VO. Direct and indirect costs of co-infection in the wild: linking gastrointestinal parasite communities, host hematology, and immune function. Int J Parasitol Parasites Wildl. 2012;1:2–12. doi: 10.1016/j.ijppaw.2012.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lustigman S, Prichard RK, Gazzinelli A, Grant WN, Boatin BA, McCarthy JS, Basáñez MG. A research agenda for helminth diseases of humans: the problem of helminthiases. PLoS Negl Trop Dis. 2012;6:e1582. doi: 10.1371/journal.pntd.0001582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Gower CM, Vince L, Webster JP. Should we be treating animal schistosomiasis in Africa? The need for a One Health economic evaluation of schistosomiasis control in people and their livestock. Trans R Soc Trop Med Hyg. 2017;111:244–247. doi: 10.1093/trstmh/trx047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.World Health Organization Schistosomiasis and soil-transmitted helminthiases: numbers of people treated in 2017. Wkly Epidemiol Rec. 2018;93:681–692. [Google Scholar]
- 8.Fürst T, Keiser J, Utzinger J. Global burden of human food-borne trematodiasis: a systematic review and meta-analysis. Lancet Infect Dis. 2012;12:210–221. doi: 10.1016/S1473-3099(11)70294-8. [DOI] [PubMed] [Google Scholar]
- 9.Johansen MV, Lier T, Sithithaworn P. Towards improved diagnosis of neglected zoonotic trematodes using a One Health approach. Acta Trop. 2015;141:161–169. doi: 10.1016/j.actatropica.2013.07.006. [DOI] [PubMed] [Google Scholar]
- 10.Webster JP, Gower CM, Knowles SC, Molyneux DH, Fenton A. One Health - an ecological and evolutionary framework for tackling Neglected Zoonotic Diseases. Evol Appl. 2016;9:313–333. doi: 10.1111/eva.12341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gentile R, Barreto MG, Gonçalves MM, Soares, DʼAndrea PS. The role of wild rodents in the transmission of Schistosoma mansoni in Brazil. In: Rokni MB, editor. Schistosomiasis. London: INTECH Open Access Publisher; 2012. pp. 231–254. [Google Scholar]
- 12.Rudge JW, Webster JP, Lu DB, Wang TP, Fang GR, Basáñez MG. Identifying host species driving transmission of schistosomiasis japonica, a multihost parasite system, in China. Proc Natl Acad Sci USA. 2013;110:11457–11462. doi: 10.1073/pnas.1221509110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Catalano S, Sène M, Diouf ND, Fall CB, Borlase A, Léger E, et al. Rodents as natural hosts of zoonotic Schistosoma species and hybrids: an epidemiological and evolutionary perspective from West Africa. J Infect Dis. 2018;218:429–433. doi: 10.1093/infdis/jiy029. [DOI] [PubMed] [Google Scholar]
- 14.Budischak SA, Hoberg EP, Abrams A, Jolles AE, Ezenwa VO. A combined parasitological molecular approach for noninvasive characterization of parasitic nematode communities in wild hosts. Mol Ecol Resour. 2015;15:1112–1119. doi: 10.1111/1755-0998.12382. [DOI] [PubMed] [Google Scholar]
- 15.Gassó D, Feliu C, Ferrer D, Mentaberre G, Casas-Díaz E, Velarde R, et al. Uses and limitations of faecal egg count for assessing worm burden in wild boars. Vet Parasitol. 2015;209:133–137. doi: 10.1016/j.vetpar.2015.02.006. [DOI] [PubMed] [Google Scholar]
- 16.Keiser J, Duthaler U, Utzinger J. Update on the diagnosis and treatment of food-borne trematode infections. Curr Opin Infect Dis. 2010;23:513–520. doi: 10.1097/QCO.0b013e32833de06a. [DOI] [PubMed] [Google Scholar]
- 17.Verweij JJ, Stensvold CR. Molecular testing for clinical diagnosis and epidemiological investigations of intestinal parasitic infections. Clin Microbiol Rev. 2014;27:371–418. doi: 10.1128/CMR.00122-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Utzinger J, Becker SL, van Lieshout L, van Dam GJ, Knopp S. New diagnostic tools in schistosomiasis. Clin Microbiol Infect. 2015;21:529–542. doi: 10.1016/j.cmi.2015.03.014. [DOI] [PubMed] [Google Scholar]
- 19.Cringoli G, Maurelli MP, Levecke B, Bosco A, Vercruysse J, Utzinger J, Rinaldi L. The Mini-FLOTAC technique for the diagnosis of helminth and protozoan infections in humans and animals. Nat Protoc. 2017;12:1723–1732. doi: 10.1038/nprot.2017.067. [DOI] [PubMed] [Google Scholar]
- 20.Barda BD, Rinaldi L, Ianniello D, Zepherine H, Salvo F, Sadutshang T, et al. Mini-FLOTAC, an innovative direct diagnostic technique for intestinal parasitic infections: experience from the field. PLoS Negl Trop Dis. 2013;7:e2344. doi: 10.1371/journal.pntd.0002344. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Barda B, Albonico M, Ianniello D, Ame SM, Keiser J, Speich B, et al. How long can stool samples be fixed for an accurate diagnosis of soil-transmitted helminth infection using Mini-FLOTAC? PLoS Negl Trop Dis. 2015;9:e3698. doi: 10.1371/journal.pntd.0003698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Catalano S, Nadler SA, Fall CB, Marsh KJ, Léger E, Sène M, et al. Plagiorchis sp. in small mammals of Senegal and the potential emergence of a zoonotic trematodiasis. Int J Parasitol Parasites Wildl. 2019;8:164–170. doi: 10.1016/j.ijppaw.2019.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bray RA, Gibson DI, Jones A. Keys to the Trematoda. Wallingford: CABI; 2008. [Google Scholar]
- 24.Kane RA, Rollinson D. Repetitive sequences in the ribosomal DNA internal transcribed spacer of Schistosoma haematobium, Schistosoma intercalatum and Schistosoma mattheei. Mol Biochem Parasitol. 1994;63:153–156. doi: 10.1016/0166-6851(94)90018-3. [DOI] [PubMed] [Google Scholar]
- 25.Bowles J, Blair D, McManus DP. Genetic variants within the genus Echinococcus identified by mitochondrial DNA sequencing. Mol Biochem Parasitol. 1992;54:165–173. doi: 10.1016/0166-6851(92)90109-W. [DOI] [PubMed] [Google Scholar]
- 26.Cringoli G, Rinaldi L, Maurelli MP, Utzinger J. FLOTAC: new multivalent techniques for qualitative and quantitative copromicroscopic diagnosis of parasites in animals and humans. Nat Protoc. 2010;5:503–515. doi: 10.1038/nprot.2009.235. [DOI] [PubMed] [Google Scholar]
- 27.Agresti A, Coull BA. Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat. 1998;52:119–126. [Google Scholar]
- 28.Branscum AJ, Gardner IA, Johnson WO. Estimation of diagnostic-test sensitivity and specificity through Bayesian modelling. Prev Vet Med. 2005;68:145–163. doi: 10.1016/j.prevetmed.2004.12.005. [DOI] [PubMed] [Google Scholar]
- 29.Plummer M. JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling. Proc DSC. 2003;124(125):10. [Google Scholar]
- 30.Emery AM, Allan FE, Rabone ME, Rollinson D. Schistosomiasis collection at NHM (SCAN) Parasit Vectors. 2012;5:185. doi: 10.1186/1756-3305-5-185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Dinkel A, von Nickisch-Rosenegk M, Bilger B, Merli M, Lucius R, Romig T. Detection of Echinococcus multilocularis in the definitive host: coprodiagnosis by PCR as an alternative to necropsy. J Clin Microbiol. 1998;36:1871–1876. doi: 10.1128/jcm.36.7.1871-1876.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Easton AV, Oliveira RG, Walker M, O’Connell EM, Njenga SM, Mwandawiro CS, et al. Sources of variability in the measurement of Ascaris lumbricoides infection intensity by Kato-Katz and qPCR. Parasit Vectors. 2017;10:256. doi: 10.1186/s13071-017-2164-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lu DB, Deng Y, Ding H, Liang YS, Webster JP. Single-sex schistosome infections of definitive hosts: implications for epidemiology and disease control in a changing world. PLoS Pathog. 2018;14:e1006817. doi: 10.1371/journal.ppat.1006817. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Glinz D, Silué KD, Knopp S, Lohourignon LK, Yao KP, Steinmann P, et al. Comparing diagnostic accuracy of Kato-Katz, Koga agar plate, ether-concentration, and FLOTAC for Schistosoma mansoni and soil-transmitted helminths. PLoS Negl Trop Dis. 2010;4:e754. doi: 10.1371/journal.pntd.0000754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Aivelo T, Medlar A, Löytynoja A, Laakkonen J, Jernvall J. Tracking year-to-year changes in intestinal nematode communities of rufous mouse lemurs (Microcebus rufus) Parasitology. 2015;142:1095–1107. doi: 10.1017/S0031182015000438. [DOI] [PubMed] [Google Scholar]
- 36.Beechler BR, Jolles AE, Budischak SA, Corstjens PL, Ezenwa VO, Smith M, et al. Host immunity, nutrition and coinfection alter longitudinal infection patterns of schistosomes in a free ranging African buffalo population. PLoS Negl Trop Dis. 2017;11:e6122. doi: 10.1371/journal.pntd.0006122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Sène M, Duplantier JM, Marchand B, Hervé JP. Susceptibility of rodents to infection with Schistosoma mansoni in Richard-Toll (Senegal) Parasite. 1996;3:321–326. doi: 10.1051/parasite/1996034321. [DOI] [PubMed] [Google Scholar]
- 38.D’Andrea PS, Maroja LS, Gentile R, Cerqueira R, Maldonado A, Rey L. The parasitism of Schistosoma mansoni (Digenea–Trematoda) in a naturally infected population of water rats, Nectomys squamipes (Rodentia–Sigmodontinae) in Brazil. Parasitology. 2000;120:573–582. doi: 10.1017/S0031182099005892. [DOI] [PubMed] [Google Scholar]
- 39.Lu DB, Wang TP, Rudge JW, Donnelly CA, Fang GR, Webster JP. Contrasting reservoirs for Schistosoma japonicum between marshland and hilly regions in Anhui, China—a two-year longitudinal parasitological survey. Parasitology. 2010;137:99–110. doi: 10.1017/S003118200999103X. [DOI] [PubMed] [Google Scholar]
- 40.Morgan JAT, Blair D. Relative merits of nuclear ribosomal internal transcribed spacers and mitochondrial CO1 and ND1 genes for distinguishing among Echinostoma species (Trematoda) Parasitology. 1998;116:289–297. doi: 10.1017/S0031182097002217. [DOI] [PubMed] [Google Scholar]
- 41.Grabner DS, Mohamed FA, Nachev M, Méabed EM, Sabry AHA, Sures B. Invasion biology meets parasitology: a case study of parasite spill-back with Egyptian Fasciola gigantica in the invasive snail Pseudosuccinea columella. PLoS One. 2014;9:e88537. doi: 10.1371/journal.pone.0088537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Laidemitt MR, Brant SV, Mutuku MW, Mkoji GM, Loker ES. The diverse echinostomes from East Africa: with a focus on species that use Biomphalaria and Bulinus as intermediate hosts. Acta Trop. 2019;193:38–49. doi: 10.1016/j.actatropica.2019.01.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kusolsuk T, Paiboon N, Pubampen S, Maipanich W, Dekumyoy P, Waikagul J. Anchitrema sanguineum (Digenea: Anchitrematidae) accidentally found during colonoscopy of a patient with chronic abdominal pain: a case report. Korean J Parasitol. 2009;47:167–170. doi: 10.3347/kjp.2009.47.2.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.El-Sokkary MY. On Anchitrema sanguineum (Sonsino, 1894); a trematode parasite from the intestine of the climbing rat (Rattus rattus) Assiut Vet Med J. 1991;25:73–79. [Google Scholar]
- 45.Impand P, Waikagul J, Kitikoon V, Limsomboon SA. Report of Anchitrema sanguineum (Sonsino, 1894) from wild rats (Rattus rattus) caught in Kanchanaburi Province. J Trop Med Parasitol. 1991;14:21–25. [Google Scholar]
- 46.Caspeta-Mandujano JM, Peralta-Rodríguez JL, Ramírez-Chávez SB, Ramírez-Díaz SE, Tapia-Osorio M, Urbina MGJ, et al. Helmintos parásitos de murciélagos en México. Cuernavaca: Universidad Autónoma del Estado de Morelos; 2017. [Google Scholar]
- 47.Fried B, Graczyk TK, Tamang L. Food-borne intestinal trematodiases in humans. Parasitol Res. 2004;93:159–170. doi: 10.1007/s00436-004-1112-x. [DOI] [PubMed] [Google Scholar]
- 48.Toledo R, Esteban JG. An update on human echinostomiasis. Trans R Soc Trop Med Hyg. 2016;110:37–45. doi: 10.1093/trstmh/trv099. [DOI] [PubMed] [Google Scholar]
- 49.Lotfy WM, Lotfy LM, Khalifa RM. An overview of cercariae from the Egyptian inland water snails. J Coast Life Med. 2017;5:562–574. doi: 10.12980/jclm.5.2017J7-161. [DOI] [Google Scholar]
- 50.Toledo R, Munõz-Antoli C, Esteban JG. Intestinal trematode infections. In: Toledo R, Fried B, editors. Digenetic trematodes. Berlin: Springer; 2014. pp. 201–240. [Google Scholar]
- 51.Jeyarasingam U, Heyneman D, Lim HK, Mansour N. Life cycle of a new echinostome from Egypt, Echinostoma liei sp. nov. (Trematoda: Echinostomatidae) Parasitology. 1972;65:203–222. doi: 10.1017/S0031182000044991. [DOI] [PubMed] [Google Scholar]
- 52.Huffman JE. Echinostomes in veterinary and wildlife parasitology. In: Fried B, Graczyk TK, editors. Echinostomes as experimental models for biological research. Berlin: Springer; 2000. pp. 59–82. [Google Scholar]
- 53.Huffman JE, Fried B. Echinostoma and echinostomiasis. Adv Parasitol. 1990;29:215–269. doi: 10.1016/S0065-308X(08)60107-4. [DOI] [PubMed] [Google Scholar]
- 54.Georgieva S, Faltýnková A, Brown R, Blasco-Costa I, Soldánová M, Sitko J, et al. Echinostoma ‘revolutum’ (Digenea: Echinostomatidae) species complex revisited: species delimitation based on novel molecular and morphological data gathered in Europe. Parasit Vectors. 2014;7:520. doi: 10.1186/s13071-014-0520-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Sall-Dramé R, Brouat C, Bâ CT, Duplantier JM. Variation in cestode assemblages of Mastomys and Arvicanthis species (rodents: Muridae) from Lake Retba in Western Senegal. J Parasitol. 2010;96:675–680. doi: 10.1645/GE-2437.1. [DOI] [PubMed] [Google Scholar]
- 56.Diagne C, Ribas A, Charbonnel N, Dalecky A, Tatard C, Gauthier P, et al. Parasites and invasions: changes in gastrointestinal helminth assemblages in invasive and native rodents in Senegal. Int J Parasitol. 2016;46:857–869. doi: 10.1016/j.ijpara.2016.07.007. [DOI] [PubMed] [Google Scholar]
- 57.Ribas A, Diagne C, Tatard C, Diallo M, Poonlaphdecha S, Brouat C. Whipworm diversity in West African rodents: a molecular approach and the description of Trichuris duplantieri n. sp. (Nematoda: Trichuridae) Parasitol Res. 2017;116:1265–1271. doi: 10.1007/s00436-017-5404-3. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analysed during this study are included in this published article. Parasite specimens and sequencing data from this study are available in the collection of the Natural History Museum (London, UK) and in the GenBank database, respectively, under the accession numbers listed in this manuscript.