Dispersal and population genetic structure of Telmatherina antoniae, an endemic freshwater Sailfin silverside from Sulawesi, Indonesia
Bibliographic record
Abstract
Population genetic structure in the presence of substantial dispersal provides a unique perspective on the evolution of reproductive isolation. We sampled Telmatherina antoniae, an endemic fish species, at 10 sites in Lake Matano, Indonesia. Significant genetic structure (F(ST) = 0.03) was found, despite a migration rate of 10.2% and a mean dispersal distance of 13.6 km, estimated by genotype assignment. Neither dispersal distance nor direction differed from random expectations, indicative of no dispersal barrier in Lake Matano. However, Bayesian genotype cluster assignment identified a population structure consisting of four to six clusters that did not coincide with sample site distribution, but explained two to three times more genetic variance than sample site. The mechanism for continued isolation of those genetic clusters is unknown, but assortative mating and temporal isolation are obvious candidates. Our results resolve the apparent paradox of population genetic structure coupled with frequent dispersal, and highlight the importance of considering cryptic genetic structure.
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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".