Influence of historical events and contemporary estuarine circulation on the genetic structure of the banded killifish (<i>Fundulus diaphanus</i>) in the St. Lawrence River (Quebec, Canada)
Bibliographic record
Abstract
Eight microsatellite markers were used to examine the historical and contemporary factors influencing the distribution of genetic variation within and among populations of Fundulus diaphanus (Lesueur, 1817) in the St. Lawrence River. Our results show that the contemporary hydrodynamics of the river affect levels of diversity and differentiation in this species. Genetic diversity increased towards downstream sites and levelled off at the upstream end of the tidal section, in the vicinity of Lake St-Pierre outlet. Likewise, differentiation and isolation-by-distance were most pronounced in the upstream, strictly fluvial section of the river. Surprisingly, however, we did not detect any significant intershore differentiation in this riparian fish species. Historical influence was also clearly detected and transcended the contemporary pattern, as revealed by an extremely strong isolation-by-distance pattern along the entire river stretch. This pattern likely results from the historical, postglacial secondary contact between two glacial races, as indicated by the clinal variation of constrasting allele size frequency distributions along the river and the significantly greater values of differentiation indices considering mutational information.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".