‘First record of <i>Hsiungia pekingensis</i> (Nematoda: Strongylidae) in North America: Morphological and molecular identification of a rare equine strongyle
Bibliographic record
Abstract
Abstract Equids are infected by a diversity of gastrointestinal nematode parasites, including 64 species of equine strongyle nematodes from19 genera. Despite numerous surveys of horse strongyles worldwide, certain geographic regions and rare species remain understudied. In 1964, a new species of equine strongyle, Cylicocyclus pekingensis, was described from a donkey in China. Subsequently, this species was recorded in horses from Kazakhstan and reclassified as Hsiungia pekingensis (K’ung and Yang, 1964), the only species in this genus. Since then, H. pekingensis has not been reported elsewhere, with limited knowledge on its distribution and phylogeny. This study documents the first record of H. pekingensis in North America. Adult specimens were recovered from fecal samples of a domestic horse in Alberta, Canada, following treatment with ivermectin. Species identification involved detailed morphological examination, complemented with sequencing of the internal transcribed spacer 1 (ITS1), 5.8S rRNA gene, and the internal transcribed spacer 2 (ITS2) regions of the nuclear genome. Phylogenetic analysis indicated a close evolutionary relationship with species from Poteriostomum and Parapoteriostomum genera. Nemabiome ITS2 sequencing of a paired pre-treatment sample also detected the presence of H. pekingensis in the studied horse. Re-analysis of public equine nemabiome datasets further detected H. pekingensis in feral horses in Alberta, but not in other regions considered. This study expands the known distribution of this rare species and enhances our knowledge of its placement in the phylogeny of equine strongyles. Furthermore, our re-analysis of public nemabiome datasets highlights the value of this approach for studying the global distribution of parasite species.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".