qPCR-based environmental monitoring of Myxobolus cerebralis and phylogenetic analysis of its tubificid hosts in Alberta, Canada
Bibliographic record
Abstract
Myxobolus cerebralis is the causative agent of whirling disease in salmonid fishes. In 2016, this invasive parasite was detected in Alberta, Canada, for the first time, initiating a comprehensive 3 yr monitoring program to assess where the parasite had spread within the province. As part of this program, a qPCR-based test was developed to facilitate detection of the environmental stages of M. cerebralis and from the oligochaete host, Tubifex tubifex. During this program, ~1500 environmental samples were collected and tested over 3 yr. Fish were collected from the same watersheds over 2 yr and tested as part of the official provincial monitoring effort. Substrate testing identified sites positive for M. cerebralis in 3 of 6 watersheds that had been confirmed positive by fish-based testing and 3 novel detections where the parasite had not been detected previously. Testing of individually isolated Tubifex from each sample site was used to further confirm the presence of M. cerebralis. DNA barcoding of the cytochrome oxidase I (cox1) gene of 567 oligochaete specimens collected from 6 different watersheds yielded 158 unique sequences belonging to 21 genera and 37 putative species. Phylogenetic analyses of sequences assigned to the genus Tubifex predicted 5 species of Tubifex arising from this assessment. Based on our results, we propose that environmental and worm samples can be a valuable complement to the gold-standard fish testing and will be especially useful for monitoring in areas where fish collection is challenging or prohibitive because of site accessibility or vulnerability of the fish populations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".