SNP analyses highlight a unique, imperiled southern walleye (<i>Sander vitreus</i>) in the Mobile River Basin
Bibliographic record
Abstract
Walleye (Sander vitreus) is a popular sportfish threatened by overexploitation, habitat destruction, and loss of genetic integrity due to non-native walleye stocking. Previous studies have identified a genetically distinct lineage of walleye in the Mobile River Basin, but further work is needed to assess population structure and introgression among this southern lineage and northern populations. Here we generated 2782 genome-wide single nucleotide polymorphisms (SNPs) to characterize the genetic uniqueness of southern walleye. We also found strong evidence for a historical declining population trend with reduced genetic diversity and effective population size in a southern walleye population of conservation importance. A 68-SNP panel was developed for rapid identification of genetic integrity and hybrid classification among northern and southern walleye, enabling us to identify an anthropogenic hybrid zone resulting from the previous introduction of northern walleye into the Black Warrior River drainage, Alabama. Our results highlight the need for conservation management of southern walleye in the Mobile River Basin, with our 68-SNP assay already being implemented in ongoing stream survey and captive breeding programs.
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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 | 0.000 | 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) | 0.001 | 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".