Evidence map›Paper›PMID 41568360›Full record

ArticleCurrent research in parasitology & vector-borne diseases2026

Assessing whole-host homogenisation as a new tool for parasite detection and identification.

Kamil Hupało, Celine Sassor, Mia Merle Fuhren, Dominik Buchner, Daniel Grabner, Bernd Sures

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Article in Current research in parasitology & vector-borne diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kamil HupałoDepartment of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.
Celine SassorDepartment of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.
Mia Merle FuhrenDepartment of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.
Dominik BuchnerAquatic Ecosystem Research, University of Duisburg-Essen, Essen, Germany.
Daniel GrabnerDepartment of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.
Bernd SuresDepartment of Aquatic Ecology, University of Duisburg-Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite their importance in ecosystem functioning, parasites remain the most neglected components of biodiversity monitoring. This neglect is partly due to the methodological challenges associated with their detection and identification. Current traditional morphological and molecular approaches are time-consuming, labour-intensive, and require specialised expertise. Here, we explore a novel approach of deriving parasite information through whole-host homogenisation followed by DNA-based identification of its parasite biota. Our goal was to validate whether the approach is feasible and if it could become a complementary method for studying parasites, providing a time-efficient solution allowing for a holistic parasite scan with limited taxonomic expertise. To test the method's efficiency, we analysed five specimens of European eel as model hosts. Their parasites were identified morphologically, and then all the parasites and the entire host tissue were homogenised together using a commercial blender. Molecular identification of the morphologically detected parasites was conducted using DNA barcoding with parasite-specific primers. Following homogenisation and DNA-based identification, we successfully detected all parasite taxa identified during morphological analyses, even including instances where they had not been detected morphologically. A notable exception were acanthocephalans, which showed low levels of molecular detection. Despite certain limitations, the detection of parasites directly from the whole-host homogenate shows high potential for efficient and accurate parasite detection, in some cases even surpassing morphological identification. The further development of the method, particularly through exploration of DNA metabarcoding, could improve the reliability of parasite assessments and facilitate parasite detection, which could aid in proper parasite recognition.

Indexed as

AnguillaDNA-based species identificationEelHelminths

Identifiers

PMID41568360
PMCPMC12818088

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