Identifying the gene(s) that allow tigriopus californicus to survive under thermal stress
Bibliographic record
Abstract
The copepod species, Tigriopus californicus, is one of the most thermally adaptable species in the biosphere. They have been found in tide pools from the coast of Alaska down to the coast of Southern California. However, as all other organisms have limits, the T. californicus are only able to tolerate temperatures up to 34ºC. By comparing gene expression between specimens exposed to high temperatures and those expressed to optimal temperatures, we identified the genes responsible for conferring tolerance to increasing temperatures. After testing gene expression between copepods at 20ºC and at 34ºC, we have determined that both the hsp70 gene and the toll-like receptors of the T. californicus play a role in tolerance to temperature variance. L’espèce copépode, Tigriopus californicus, est une des espèces les plus thermiquement adaptables de la biosphère. On les trouve dans les bâches depuis la côte de l’Alaska jusqu’à la côte sud de la Californie. Toutefois, comme tous les autres organ¬ismes, les Tigriopus californicus ont des limites et ne peuvent pas tolérer des températures supérieures à 34oC. En comparant l’expression génétique entre les spécimens exposés à des températures élevées et ceux exposés à des températures optimales, nous avons identifié les gènes responsables de la tolérance à des températures en hausse. Après avoir testé l’expression génétique entre les copépodes à 20oC et à 34oC, nous avons déterminé que le gène hsp70 et les récepteurs de type Toll du T. californicus jouent tous deux un rôle dans la tolérance aux variations de température.
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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) | 0.001 | 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".