Evolution of a Perfect Simple Sequence Repeat Locus in the Context of Its Flanking Sequence
Bibliographic record
Abstract
Microsatellites, which have rapidly become the preferred markers in population genetics, reliably assign individual chinook salmon to the winter, fall, late-fall, or spring chinook runs in the Sacramento River in California's Central Valley (Banks et al. 2000. Can. J. Fish. Aquat. Sci. 57:915-927). A substantial proportion of this discriminatory power comes from Ots-2, a simple CA repeat, which is expected to evolve rapidly under the stepwise mutation model. We have sequenced a 300-bp region around this locus and typed 668 microsatellite-flanking sequence haplotypes to explore further the basis of this microsatellite divergence. Three sites of nucleotide polymorphism in the Ots-2 flanking sequence define five haplotypes that are shared by the Californian and Canadian populations. The Ots-2 microsatellite alleles are nonrandomly distributed among these five haplotypes in a pattern of gametic disequilibrium that is also shared among populations. Divergence between the winter run and other Central Valley stocks appears to be caused by a combination of surprisingly static evolution at Ots-2 within a context of more rapidly changing haplotype frequencies.
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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) | 0.000 | 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".