Evidence map›Paper›PMID 41484633›Full record

ArticleParasites & vectors2026

Characterizing mixed strongyle infections in foals and broodmares using cytochrome c oxidase subunit I deep amplicon sequencing.

Luise Grace Klass, Jürgen Krücken, Susan Mbedi, Sarah Sparmann, Thore Schenk, Sandro Andreotti, Georg von Samson-Himmelstjerna

Abstract read
In one paragraph

Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Luise Grace KlassInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Jürgen KrückenInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Susan MbediBerlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany.
Sarah SparmannBerlin Center for Genomics in Biodiversity Research (BeGenDiv), Berlin, Germany.
Thore SchenkInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.
Sandro AndreottiBioinformatics Solutions Center, Institute of Computer Science, Freie Universität Berlin, Berlin, Germany.
Georg von Samson-HimmelstjernaInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Berlin, Germany. samson.georg@fu-berlin.de.

Funding

Deutsche Forschungsgemeinschaft RTG 2046, 251133687German Federal Ministry of Education and Research (BMBF) 033W034A
6 · The paper itself

Abstract

backgroundMixed strongyle infections represent the most prevalent equine parasitosis and can result in life-threatening disease, especially in young horses. Species involvement and pathogenesis of this parasitosis are poorly understood, and data on foals and broodmares are notably lacking.

methodsIn a longitudinal study undertaken in 2022 in Germany, individual faecal samples (n = 497) and metadata were collected for naturally infected foals and broodmares (n = 48) kept under conventional husbandry conditions. Nematode infections were detected coproscopically via the Mini-FLOTAC method. In a subset of strongyle egg-positive samples (n = 46), species were identified using cytochrome c oxidase subunit I deep amplicon sequencing. Species prevalence, richness, and alpha and beta diversity were compared between foals and mares.

resultsOverall, 22.2% of the foal samples and 10.2% of the mare samples were strongyle egg positive (eggs per gram > 5). Parascaris spp. were only detected in foals (15.1%). Strongyloides westeri was detected in one foal sample. Strongyle egg detection increased in likelihood with each additional sample timepoint (OR = 1.42, P < 0.001) and with ascarid egg detection (OR = 6.49, P < 0.001), while last anthelmintic treatment with pyrantel decreased the odds of detecting eggs (OR = 0.12, P = 0.002). Deep amplicon sequencing detected 16 species of small strongyles but no large strongyle species. Cylicostephanus goldi, Cylicostephanus minutus operational taxonomic unit II and Cylicocyclus ashworthi were significantly more prevalent in mares (P < 0.05), while Cylicostephanus calicatus operational taxonomic unit II was more prevalent in foals (P < 0.01). Mares showed a significantly higher amplicon sequence-variant-based richness (Chao 1 index, P < 0.001) and diversity (inverse Simpson index, P < 0.01) than foals. Group (foals vs. mares) explained some of the variance in beta diversity, according to permutational multivariate ANOVA. Co-infection with Parascaris spp. did not affect strongyle community composition in the foals. Bray-Curtis and Jaccard distance (dissimilarity) plots showed separate clusters for mares and foals, with some overlap and a moderate model fit.

conclusionsCytochrome oxidase-based characterization of mixed strongyle infections revealed strongyle community differences between broodmares and foals. Possible age associations were identified for four species of small strongyles, including two cryptic species. Low overall strongyle prevalence and egg-shedding intensity, non-random sampling and differences in anthelmintic treatment schemes limited the statistical power of this study.

Indexed as

CoinfectionElectron Transport Complex IVHorse DiseasesStrongyle Infections, EquineAnimalsFecesFemaleGermanyHigh-Throughput Nucleotide SequencingHorsesLongitudinal StudiesMaleParasite Egg CountPrevalenceElectron Transport Complex IVCyathostominaeCytochrome c oxidase subunit IEquine helminthsHigh-throughput sequencingNemabiomeNext-generation sequencingStrongylidStrongylidae

Identifiers

PMID41484633
PMCPMC12866475

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.