Low genetic variation and strong genetic structure across a range of geographical scales in European smelt (<scp><i>Osmerus eperlanus</i></scp> L.)
Bibliographic record
Abstract
Abstract Populations of anadromous European smelt (Osmerus eperlanus L.) are declining across its range with mitigation efforts for this ecologically important species hindered by a lack of demographic information. Here, mitochondrial DNA (mtDNA) and microsatellite analyses were used to describe historical and recurrent demographics for the species across a large part of its range. mtDNA revealed a shallow phylogeographic structure indicating a cohesive ancestral population, low overall haplotype and nucleotide diversities. However, microsatellites revealed unexpectedly high genetic structuring (FST = 0.15; p < 0.0001), including (i) isolation by distance effects over various scales, (ii) separation between Baltic and Atlantic samples and (iii) the highest interpopulation divergence and the lowest intrapopulation variation among UK sites. The results indicate that despite considerable dispersal potential, there is strong structuring among rivers, which should be recognised as separate management units. Furthermore, individual clustering analyses revealed further population separation within waterways and the need to resolve isolating mechanisms. Overall levels of genetic variation were found to be lower than those reported for other osmerids, with evidence suggesting that a considerable portion of ancestral variation has been eroded. As such, low genetic variation may limit resilience to environmental change. Proactive management strategies are discussed, with the prioritisation of UK populations recommended.
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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".