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International journal for parasitology2025; S0020-7519(25)00185-7; doi: 10.1016/j.ijpara.2025.09.010

Species diversity and within-host tropism for mixed equine strongyle infections using a cytochrome c oxidase subunit I metabarcoding approach.

Abstract: Strongyles, especially non-migratory Strongylidae, are the most common equine gut parasites, and typically occur in mixed infections with 10 - 20 species per host. Current knowledge on strongyle species prevalence and within-host tropism is sparse. Herein species composition of mixed strongyle infections of 12 naturally infected untreated young horses, based on strongyle eggs extracted from faeces, cultured third stage larva and luminal worms collected from ventral and dorsal colon was examined. Species were identified using a cytochrome c oxidase I (COI) metabarcoding approach allowing differentiation of operational taxonomic units (OTU) in small strongyle species complexes. In total, 16 small strongyle and one large strongyle species were identified. Eleven small strongyles were detected in all equines, including three cryptic species: Cylicostephanus calicatus OTU II, Cylicostephanus minutus OTU II and III. Coherence of detection rate, alpha and beta diversity showed high agreeance between data obtained using DNA from faecal eggs and cultured larvae. Diversity, but not observed richness, was higher in eggs and larvae compared to luminal worms (Inverse Simpson index, Shannon index, all P < 0.05). Bray-Curtis and Jaccard dissimilarity showed overlapping beta diversity clusters for eggs and larva, while ventral and dorsal colon samples clustered separately and differed significantly according to PERMANOVA (P < 0.001). Five small strongyle species showed significantly higher occurrence in the ventral than dorsal colon, including cryptic species Cylicostephanus calicatus OTU II. This study provides novel prevalence data for five cryptic species, documents species tropism within intestinal compartments and demonstrates high strongyle species composition agreement between faecal eggs and cultured larvae.
Publication Date: 2025-10-08 PubMed ID: 41072705DOI: 10.1016/j.ijpara.2025.09.010Google Scholar: Lookup
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  • Journal Article

Summary

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Overview

  • This study investigated the species diversity and distribution of strongyle parasites in horses using a DNA-based technique (COI metabarcoding) to accurately identify different species within mixed infections.
  • The research compared parasite communities across different sample types and intestinal locations, revealing insights into species prevalence and habitat preference within the horse gut.

Background

  • Strongyles, particularly non-migratory Strongylidae, are the most common parasites inhabiting the equine gut.
  • Individual horses often carry mixed infections containing multiple strongyle species, typically between 10 and 20 species per host.
  • Knowledge on the prevalence of specific strongyle species and their preferred locations (within-host tropism) in the intestinal tract remains limited.
  • Traditional methods have difficulty distinguishing closely related species, especially cryptic species complexes.

Research Objectives

  • Determine the species composition of mixed strongyle infections in untreated young horses by sampling different stages and gut locations.
  • Assess the agreement in species diversity data derived from different sample types: faecal eggs, cultured larvae, and adult worms from distinct gut regions (ventral vs dorsal colon).
  • Employ a cytochrome c oxidase subunit I (COI) metabarcoding approach to differentiate closely related species, including cryptic taxa, within strongyle complexes.
  • Explore within-host tropism by comparing species prevalence between ventral and dorsal colon.

Methodology

  • Samples were collected from 12 naturally infected, untreated young horses, including:
    • Strongyle eggs isolated from faeces.
    • Third stage larvae (L3) cultured from faecal samples.
    • Adult worms collected post-mortem from the ventral and dorsal colon.
  • DNA was extracted from these samples and subjected to COI metabarcoding, a genetic barcoding technique targeting the cytochrome c oxidase I gene sequence.
  • Operational taxonomic units (OTUs) were defined to classify and distinguish closely related species, including cryptic species difficult to separate morphologically.
  • Data analysis included estimation of alpha diversity (within-sample species diversity) using diversity indexes such as Inverse Simpson and Shannon, and beta diversity (between-sample community similarity/difference) using Bray-Curtis and Jaccard dissimilarities.
  • Statistical tests including PERMANOVA were applied to assess differences in parasite communities between sample types and gut locations.

Key Findings

  • A total of 17 strongyle species were identified: 16 small strongyle species and one large strongyle species.
  • Eleven small strongyle species occurred in all horses, including three cryptic species designated as Cylicostephanus calicatus OTU II, Cylicostephanus minutus OTU II and III.
  • Species detection rate and diversity measures showed strong agreement between faecal egg DNA and cultured larvae DNA, confirming the reliability of non-invasive sampling methods.
  • Alpha diversity was significantly greater in parasite eggs and larvae compared to adult worms recovered from the lumen, indicating possible differences in community composition at life stages or sampling biases.
  • Beta diversity analysis revealed:
    • Egg and larvae samples clustered closely, reflecting similar species composition.
    • Samples from ventral and dorsal colon formed distinct clusters, indicating different parasite communities in these gut regions.
    • The difference between ventral and dorsal colon communities was statistically significant (PERMANOVA P < 0.001).
  • Five small strongyle species, including the cryptic Cylicostephanus calicatus OTU II, were significantly more prevalent in the ventral colon than the dorsal colon, demonstrating within-host spatial tropism.

Conclusions and Significance

  • The study successfully applied a COI metabarcoding approach to resolve species diversity and cryptic species in strongyle infections, overcoming limitations of traditional methods.
  • It provides novel prevalence data especially for cryptic species that are difficult to detect morphologically.
  • Non-invasive sampling techniques (faecal eggs and cultured larvae) provide species composition data closely matching that from adult worms, supporting their use for epidemiological monitoring.
  • Clear evidence of within-host niche preferences (tropism) for different parasite species within the intestinal tract was documented, with certain species favoring the ventral colon.
  • Understanding strongyle species diversity and tropism is vital for managing parasite infections, improving diagnosis, and tailoring targeted treatments in horses.

Cite This Article

APA
Klass LG, Diekmann I, Andreotti S, Mbedi S, Sparmann S, Schenk T, Anderson HP, Bellaw J, Nielsen MK, Krücken J, von Samson-Himmelstjerna G. (2025). Species diversity and within-host tropism for mixed equine strongyle infections using a cytochrome c oxidase subunit I metabarcoding approach. Int J Parasitol, S0020-7519(25)00185-7. https://doi.org/10.1016/j.ijpara.2025.09.010

Publication

ISSN: 1879-0135
NlmUniqueID: 0314024
Country: England
Language: English
PII: S0020-7519(25)00185-7

Researcher Affiliations

Klass, Luise Grace
  • Institute for Parasitology and Tropical Veterinary Medicine, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany; Veterinary Centre for Resistance Research, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 8, 14163 Berlin, Germany.
Diekmann, Irina
  • Institute for Parasitology and Tropical Veterinary Medicine, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany; Veterinary Centre for Resistance Research, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 8, 14163 Berlin, Germany.
Andreotti, Sandro
  • Bioinformatics Solutions Center, Freie Universität Berlin, Takustr. 9, 14195 Berlin, Germany.
Mbedi, Susan
  • Berlin Center for Genomics in Biodiversity Research, Königin-Luise-Str. 6-8, 14195 Berlin, Germany; Museum für Naturkunde Berlin, Leibniz Institute for Evolution and Biodiversity Science, Invalidenstr. 43, 10115 Berlin, Germany.
Sparmann, Sarah
  • Berlin Center for Genomics in Biodiversity Research, Königin-Luise-Str. 6-8, 14195 Berlin, Germany; Leibniz Institute for Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, 12587 Berlin, Germany.
Schenk, Thore
  • Institute for Parasitology and Tropical Veterinary Medicine, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany; Veterinary Centre for Resistance Research, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 8, 14163 Berlin, Germany.
Anderson, Haley P
  • Gluck Equine Research Center, University of Kentucky, 400 Nicholasville Rd., 40503 Lexington, KY, United States.
Bellaw, Jennifer
  • Gluck Equine Research Center, University of Kentucky, 400 Nicholasville Rd., 40503 Lexington, KY, United States.
Nielsen, Martin K
  • Gluck Equine Research Center, University of Kentucky, 400 Nicholasville Rd., 40503 Lexington, KY, United States.
Krücken, Jürgen
  • Institute for Parasitology and Tropical Veterinary Medicine, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany; Veterinary Centre for Resistance Research, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 8, 14163 Berlin, Germany.
von Samson-Himmelstjerna, Georg
  • Institute for Parasitology and Tropical Veterinary Medicine, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7, 14163 Berlin, Germany; Veterinary Centre for Resistance Research, School of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 8, 14163 Berlin, Germany. Electronic address: samson.georg@fu-berlin.de.

Citations

This article has been cited 1 times.
  1. Klass LG, Krücken J, Mbedi S, Sparmann S, Schenk T, Andreotti S, von Samson-Himmelstjerna G. Characterizing mixed strongyle infections in foals and broodmares using cytochrome c oxidase subunit I deep amplicon sequencing. Parasit Vectors 2026 Jan 3;19(1):65.
    doi: 10.1186/s13071-025-07192-1pubmed: 41484633google scholar: lookup