The relative contribution of drift and selection to transcriptional divergence among <scp>B</scp>abine Lake tributary populations of juvenile rainbow trout
Bibliographic record
Abstract
Fine-scale population structure has been widely described for salmonid populations using neutral genetic markers, but whether that structure reflects adaptive differences among the populations remains of interest to evolutionary biologists and conservation managers alike. The use of transcriptomics to quantify population differences in genetically controlled functional gene expression traits holds promise for investigating this divergence associated with possible local adaptation. We use custom microarrays to characterize population divergence in transcription at functionally relevant (metabolic and immune function) genes among tributary populations of rainbow trout from Babine Lake, BC and compare it to neutral divergence estimated from microsatellite markers. Transcriptional divergence (PST ) was determined at resting state and in response to metabolic and immune challenges, two major sources of mortality and thus selective forces on juvenile salmonids. Results indicate that the majority of selected genes [56 genes (65%), 64 genes (63%) and 38 genes (78%) under control, temperature and immune challenges respectively] show transcriptional divergence (PST > FST ) that is consistent with the action of divergent selection. Patterns of pairwise PST among populations are inconsistent with evolution by drift. In general, it appears that the magnitude and pattern of population divergence in transcription reflect the action of natural selection and identify selection on transcription as a mechanism for local adaptation. These results reinforce the need to conserve salmonids on a tributary basis and provide insight into genetic mechanisms that facilitate 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".