Evaluation of the Native Status of Sea Lampreys in Lake Champlain Based on Mitochondrial DNA Sequencing Analysis
Bibliographic record
Abstract
Abstract Adult sea lampreys Petromyzon marinus parasitize a variety of recreationally, commercially, and ecologically important fishes in the north temperate Atlantic Ocean and some inland waters of North America, including the Great Lakes and Lake Champlain. This has resulted in the development of international, provincial, and state programs to suppress their abundance in some of these waters. This effort, in part, emanates from the nonnative status afforded sea lampreys in these lakes by management agencies. However, whether the sea lamprey is native to Lake Champlain has long been debated, and the outcome of this debate may impact the intensity of efforts to suppress their abundance there. We addressed this issue by using sequence analysis of the mitochondrial DNA control region. Resultant haplotype frequencies of sea lampreys from the Lake Champlain watershed were compared among sea lamprey collections made in multiple drainages within the Lake Ontario and Lake Superior watersheds and Atlantic coast rivers. We found no evidence of population structuring among tributaries within any of these four systems, but we did find highly significant genetic differentiation between systems. Haplotype diversity was low in the collections from the two Great Lakes and even more so in those from Lake Champlain compared with that in Atlantic coast rivers. Our genetic results are most consistent with the hypothesis that sea lampreys are native to Lake Champlain, having colonized the lake postglacially by one of several zoogeographic corridors.
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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 | 0.000 |
| 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".