Development of species-specific primers with potential for amplifying eDNA from imperilled freshwater unionid mussels
Bibliographic record
Abstract
Environmental DNA (eDNA) is emerging as a potentially powerful tool for inferring species' presence, and hence occupancy, from DNA that is shed into environmental samples such as water. Although eDNA screening has been used to detect DNA from a variety of taxonomic groups, it has not yet been used to identify DNA from species with numerous potentially sympatric confamilial species, a situation that may preclude the development of species-specific markers. There are 41 native freshwater mussel species (Unionidae) in Ontario, Canada. Many of these are potentially sympatric, and 14 species have been formally assessed as endangered, threatened, or special concern. We investigated whether there was sufficient variation within the cytochrome oxidase region (COI) to develop species-specific eDNA markers for at-risk unionids. We developed 32 COI markers for eight unionid species, and tested each of these on the target species plus 29 potentially sympatric unionid taxa. Six of these markers amplified DNA only from the intended target species. We then extracted and amplified mussel eDNA from rearing-tank water samples. We conclude that despite high species diversity, it should be possible to develop eDNA COI markers and screen water samples for habitat occupancy by unionid mussels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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 teacher head, 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".