Insect cold hardiness: the role of mitogen‐activated protein kinase and Akt signalling in freeze avoiding larvae of the goldenrod gall moth, <i>Epiblema scudderiana</i>
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Bibliographic record
Abstract
Larvae of the goldenrod gall moth, Epiblema scudderiana, use the freeze avoidance strategy of cold hardiness to survive the winter. Here we report that protein kinase-dependent signal transduction featuring mitogen-activated protein kinase (MAPK) signalling cascades (extracellular signal regulated kinase, c-jun N-terminal kinase and p38 MAPK pathways) and the Akt (also known as protein kinase B, or PKB) pathway could be integral parts of the development of cold hardiness by E. scudderiana. We used Luminex technology to assess the protein levels and phosphorylation status of key components and downstream targets of those pathways in larvae in response to low temperature acclimation. The data showed that MAPK pathways (both total protein and phosphorylated MAPK targets) were inhibited after 5°C acclimation, but not -15°C exposure, as compared with the 15°C control group. However, total heat shock protein 27 (HSP27) levels increased dramatically by ∼12-fold in the -15°C acclimated insects. Elevated HSP27 may facilitate anti-apoptotic mechanisms in an Akt-dependent fashion. By contrast, both 5 and -15°C acclimation produced signs of Akt pathway activation. In particular, the inhibitor phosphorylated Glycogen Synthase Kinase 3a (p-GSK3) levels remained high in cold-exposed larvae. Additionally, activation of the Akt pathway might also facilitate inhibition of apoptosis independently of GSK3. Overall, the current study indicates that both MAPK and Akt signal transduction may play essential roles in freeze avoidance by E. scudderiana.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it