Small-scale genetic structure in a stream-dwelling caddisfly in eastern Canada
Bibliographic record
Abstract
We used mitochondrial DNA (cytochrome c oxidase subunit I) to examine the population genetic structure and phylogeography for 12 populations of a widely distributed predatory caddisfly (Rhyacophila minor) in small, unconnected streams along a 45-km stretch of North Mountain, Nova Scotia, Canada. We detected patterns of strong genetic subdivision (FST = 0.312) with streams separated by >3.5 km being significantly different whereas adjacent streams were not (no significant FST values), suggesting some, but very limited, current overland dispersal by adults. A significant phylogeographic break was found between eastern and western populations, corresponding to changes in bedrock and surficial geology. Genetic diversity within the streams was positively correlated with watershed size and the spatial variation in geology. We conclude that genetic divergence among populations of R. minor is a result of dispersal barriers and the accumulation of differences among the streams due to random genetic drift. Our study suggests that a better understanding of how dispersal interacts with landscape features at small spatial scales will improve our ability to link the movement of individuals to ecological and demographic processes.
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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 | 0.000 | 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".