DNA methylation patterns linked to salinity and geography in the American eel ( <i>Anguilla rostrata</i> )
Bibliographic record
Abstract
Abstract The panmictic American eel (Anguilla rostrata) displays a wide range of intraspecific phenotypic variation as well as geographical sex bias and differential recruitment. By definition, panmictic species lack genetic structure, thus local adaptation through genetic variation cannot explain the presence of intraspecific variation. As a result, the contrasting phenotypes observed in the American eel could be attributed to either spatially varying selection, phenotypic plasticity (often mediated through epigenetic changes), or the interaction of both processes. Here we explore, for the first time, the role of DNA methylation in acclimatization in a panmictic species, the American eel, as well as its association with salinity and geography in Northeastern Canada. Using whole genome bisulfite sequencing in 72 individuals, we found that DNA methylation patterns were associated with geography and to a lesser degree with salinity. We identified a genomic region with differential methylation associated with salinity that falls inside the SOCS2 gene, which has been previously linked to salinity differences in other fish species, as well as to metabolism and somatic growth regulation. This study advances our understanding of how panmictic species or populations with high gene flow acclimatize to variable environments in the absence of heritable genetic local adaptation.
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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".