Molecular mechanisms of temperature acclimation and adaptation in marine diatoms
Bibliographic record
Abstract
Diatoms are important contributors to marine primary production and the ocean carbon cycle, yet the molecular mechanisms that regulate their acclimation and adaptation to temperature are poorly understood. Here we use a transcriptomic approach to investigate the molecular mechanisms associated with temperature acclimation and adaptation in closely related colder- and warmer-adapted diatom species. We find evidence that evolutionary changes in baseline gene expression, which we termed transcriptional investment or divestment, is a key mechanism used by diatoms to adapt to different growth temperatures. Invested and divested pathways indicate that the maintenance of protein processing machinery and membrane structure, important short-term physiological mechanisms used to respond to temperature changes, are key elements associated with adaptation to different growth temperatures. Our results also indicate that evolutionary changes in the transcriptional regulation of acetyl-CoA associated pathways, including lipid and branched chain amino acid metabolism, are used by diatoms to balance photosynthetic light capture and metabolism with changes in growth temperature. Transcriptional investment and divestment can provide a framework to identify mechanisms of acclimation and adaption to temperature.
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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 | 0.000 | 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 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".