A novel calicivirus discovered in trumpeter swans (Cygnus buccinator) expands the richness of known avian caliciviruses
Bibliographic record
Abstract
Caliciviruses are ssRNA viruses that can infect a wide range of hosts, including birds. While several avian caliciviruses have been discovered, their taxonomy and host distribution are largely unknown. We molecularly characterized a novel calicivirus (trumpeter swan calicivirus: TruSCV) in trumpeter swans over-wintering in south-west British Columbia, Canada. The positivity rate was 20.3% (14/69) and there were no significant differences in infection rates between males (5/34, 14.7%) and females (9/35, 25.7%) or among considered age groups (juveniles: 4/14, 28.6%; sub-adults: 1/9, 11.1%; adults: 9/46, 19.6%). Twelve infected swans died of lead poisoning, one because of starvation, and one from physical injuries. TruSCV complete genome possessed the typical organization and protein motifs of caliciviruses and a type 2 IRES and its closest relative was a virus circulating in Australian ducks. Phylogenetic analyses showed the existence of 34 different but monophyletic avian caliciviruses. These viruses, while having conserved genomic organization and protein motifs, possess different IRES types and group in several divergent clades, with only two of them corresponding to currently defined genera, highlighting the need for epidemiological investigations and systematic analyses to better define their taxonomy. Follow-up studies are needed to elucidate the diversity, distribution, and pathogenic potential of TruSCV.
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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".