Genomic evidence of local adaptation in Scottish freshwater pearl mussels
Bibliographic record
Abstract
Abstract Climate change is a global threat that is already impacting populations and species across diverse ecosystems. Local adaptation of populations, identified through genotype-environment association, can be used to guide conservation management. The critically endangered freshwater pearl mussel Margaritifera margaritifera has a widespread Holarctic distribution across a range of habitats. Here, we used 156 samples from 18 populations of M. margaritifera across Scotland to characterize neutral population structure and identify signals of environment-associated adaptation in this endangered mussel. This study revealed a complex pattern of population structure, indicated by high genetic diversity, high genetic clustering and high inbreeding, although neutral structure was not shaped by distances or environments. Controlling for host species, freshwater pearl mussels show significant patterns of local adaptation to abiotic habitat variables, including in response to elevational range of their sub-catchment, their specific altitude, and bioclimatic factors such as isothermality. Locally adapted and generalist populations were identified which could guide genetic rescue and restocking conservation efforts, while a subset of 302 genetic variants putatively under environmental selection were identified for further adaptation investigation.
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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) | 0.002 | 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".