How genomic and environmental relationships shape phenotypic plasticity in brook charr Salvelinus fontinalis: an historical review
Bibliographic record
Abstract
This review revisits 20 years of collaborative studies that were pursued with Louis Bernatchez who sadly passed away in October 2023. With him, we explored the phenotypic plasticity of brook charr by combining ecophysiology, genetics, genomics, and more recently epigenetics. Over the years, we conducted extensive studies on brook charr, focusing on metabolism, stress response, growth regulation, and temperature tolerance across various strains. Our research highlighted the remarkable diversity in physiological responses to temperature and salinity conditions, along with significant differences in the heritability of key traits across different strains and life stages. We studied stages from yolk-sac fry to reproductive adults, compared freshwater residents and anadromous fish, and recently showed how epigenetics affects the physiological and transcriptomic responses of progeny to temperature conditions. This review highlights the incredible physiological plasticity of brook charr and presents future research avenues that will lead to a better understanding of how the species may face challenges related to global changes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".