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Beyond the reservoir: rethinking wildlife contributions to Fasciola transmission in multihost landscapes

Published online by Cambridge University Press:  26 October 2026

A. Villa-Mancera*
Affiliation:
Facultad de Medicina Veterinaria y Zootecnia, Benemérita Universidad Autónoma de Puebla , Puebla, México
J.M. Robles-Robles
Affiliation:
Facultad de Medicina Veterinaria y Zootecnia, Benemérita Universidad Autónoma de Puebla , Puebla, México
S. Ortega-Vargas
Affiliation:
Facultad de Medicina Veterinaria y Zootecnia, Benemérita Universidad Autónoma de Puebla , Puebla, México
*
Corresponding author: Abel Villa-Mancera; Email: abel.villa@gmail.com, abel.villa@correo.buap.com
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Abstract

Wildlife infection with Fasciola spp. has been documented across diverse mammalian taxa and ecological settings; however, the epidemiological significance of these infections remains difficult to determine. Serological exposure, parasite DNA, adult fluke recovery, coproantigen detection, and egg shedding represent different diagnostic states and support various levels of inference. In Fasciola transmission, a patent definitive host is only one part of an indirect cycle that also requires eggs to reach wet or aquatic habitats, compatible lymnaeid snails to become infected and amplify the parasite, and susceptible hosts to ingest the viable metacercariae. From this critical perspective, we ask when wildlife infection actually contributes to persistence or transmission to a defined target population. We used the wildlife reservoir paradox to describe situations in which measured wildlife infection is poorly aligned with the realised transmission contribution, and distinguished four context-dependent functions: incidental hosts, amplifying contributors, interface connectors, and maintenance components. We then evaluated how lymnaeid identity and ecology, environmental and hydrological connectivity, and molecular evidence could strengthen or limit reservoir attribution. Finally, we refined Fasciola Interface Management (FIM) into an operational five-step workflow that asks who contaminates, where snail amplification occurs, which target populations are connected to those sites, where parasite flow can be disrupted, and whether transmission subsequently declines. The central argument is that wildlife reservoir status should be attributed to populations within defined transmission systems, not inferred from host positivity alone.

Information

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Table 1. Diagnostic evidence and maximum epidemiological inference in wildlife fasciolosisTable 1. long description.

Figure 1

Figure 1. From detection to epidemiological contribution: ecological filters and wildlife reservoir attribution in Fasciola transmission. Conceptual framework distinguishing parasite detection from effective transmission. The detection hierarchy progresses from seropositivity and parasite DNA to adult flukes and egg shedding. Two ecological filters determine transmission: the definitive-host filter, which governs patent infection and environmental egg deposition, and the snail-mediated filter, which requires compatible lymnaeid snails and successful development to infective metacercariae. Wildlife may act as incidental hosts, amplification contributors, interface connectors, or maintenance components. The wildlife reservoir paradox illustrates that a high prevalence of infection does not necessarily imply substantial transmission, whereas a lower prevalence may coincide with a greater epidemiological contribution when ecological connectivity is favourable.Figure 1. long description.

Figure 2

Figure 2. Context-dependent wildlife functions in Fasciola transmission. Wildlife populations may act as incidental hosts, amplifying contributors, interface connectors, or maintenance components, depending on patent infection, egg shedding, population abundance, habitat use, and connectivity with suitable lymnaeid snail habitats. Incidental hosts may provide sentinel information without substantially contributing to transmission, whereas maintenance components support parasite persistence across hosts and seasons. These functions represent context-dependent population-level roles, rather than permanent species attributes.Figure 2. long description.

Figure 3

Figure 3. Hydrological connectivity and environmental reorganisation of Fasciola transmission interfaces. (A) Connected streams, wetlands, and drainage networks may link wildlife-derived egg contamination, suitable lymnaeid snail habitats, and livestock exposure without direct contact between definitive hosts. Successful transmission requires viable eggs, compatible snails, cercarial development, and subsequent exposure to infective metacercariae. (B) Environmental changes may create, intensify, displace, or disrupt transmission interfaces. Water infrastructure may establish new transmission sites; habitat contraction may concentrate hosts around remaining wetlands; climate and land-use changes may shift transmission hotspots spatially or seasonally; and loss of suitable habitats or hydrological connectivity may interrupt transmission. These processes are context-dependent and may occur simultaneously.Figure 3. long description.

Figure 4

Table 2. Context-dependent wildlife functions in Fasciola transmission with empirical examplesTable 2. long description.

Figure 5

Table 3. Operational Fasciola Interface Management (FIM) decision workflowTable 3. long description.

Figure 6

Figure 4. Operational Fasciola Interface Management (FIM) workflow. Reservoir attribution and intervention proceed through five decision gates. Gate 1 asks whether a wildlife, livestock, or managed population contributes environmentally relevant eggs, using evidence such as patency, repeated shedding, abundance, and faecal deposition. Gate 2 asks whether those eggs can enter a productive lymnaeid amplification node, requiring correct snail identification and preferably evidence of natural infection or parasite development. Gate 3 tests whether the suspected source and the defined target population are spatially or temporally connected to the same node through habitat use, movement, hydrology, or compatible molecular evidence. Gate 4 selects the least disruptive intervention at a supported link; options may include treatment, temporary exclusion, changes in grazing or movement, or modification of artificial water systems. Gate 5 repeats host, snail, and environmental indicators to determine whether transmission declined. If evidence is insufficient at any gate, the workflow returns to targeted surveillance rather than progressing to wildlife intervention. If transmission fails to decline after intervention, source attribution and alternative transmission nodes are reassessed. FIM is therefore an adaptive, falsifiable workflow rather than a permanent reservoir classification.Figure 4. long description.

Figure 7

Table 4. Testable hypotheses generated by the proposed frameworkTable 4. long description.