Effect of exposure to short-term heat stress on survival and fecundity in <i>Drosophila ananassae</i>
Bibliographic record
Abstract
In ectothermic organisms, temperature plays a vital role in survival and reproductive success. Founding isofemale lines from wild-collected females is a basic tool for characterizing quantitative traits in a natural population. The effects of heat shock, i.e., short exposure to heat stress, on survival and reproductive success in 10 recently collected isofemale lines of Drosophila ananassae Doleschall, 1858 were compared. Flies were treated as follows: (i) unstressed control; (ii) placed at 37 °C for 90 min (pre-treatment); (iii) placed at 40 °C for 60 min 24 h before the fecundity test; and (iv) placed at 40 °C for 60 min with pre-treatment 16 h before they were exposed to 40 °C. The heat stress strongly affected survival. However, there was no significant difference between the survival of males and females. Furthermore, the female fecundity, measured as F1 offspring produced over the next 12 days, was also reduced. Heat pre-treatment improved survival of both male and female and also improved female productivity. We found significant variation in female fecundity among isofemale lines, and intraclass correlations increased for stress treatments. The results suggest that a small increase in environmental stress may affect fitness traits, and there is enough genetic variation for thermal adaptation in D. ananassae.
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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".