Heat tolerance and genetic adaptations in <i>Caenorhabditis briggsae</i>: insights from comparative studies with <i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Temperature tolerance varies widely across species and plays a crucial role in shaping physiological and evolutionary adaptations. Here, we investigate thermal stress responses in Caenorhabditis briggsae and Caenorhabditis elegans using multiple isolates. Our results demonstrate that C. briggsae exhibits enhanced survival, growth, and reproduction at elevated temperatures compared to C. elegans. The increased heat resistance was evident from the L1 larval stage. Notably, C. briggsae isolates from both tropical and temperate regions were equally resistant to heat stress, suggesting that elevated thermal tolerance is an intrinsic feature of this species. To explore the molecular genetic basis of thermal tolerance, we examined expression of heat shock regulators. Transcriptional analysis revealed that C. briggsae mounts a rapid and robust heat shock response, with CBG19186, the closest ortholog of C. eleganshsp-16.2, showing higher induction and faster recovery dynamics. The peak expression of hsp-16.2/CBG19186 occurred at a temperature 2°C higher in C. briggsae than in C. elegans. These findings provide the first in vivo evidence of temperature differences in the transcriptional response of a single protein between the 2 species, suggesting that C. briggsae has evolved a higher thermal limit for key molecular processes, likely contributing to its ability to withstand extreme temperatures. Despite its superior thermal resistance, C. briggsae showed higher sensitivity to oxidative, osmotic, and endoplasmic reticulum stress, suggesting a potential fitness trade-off. Our findings demonstrate significant differences in stress sensitivities between the 2 nematodes, providing a foundation for further investigations into the molecular and evolutionary mechanisms underlying their stress responses.
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How this classification was reachedexpand
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 | 0.000 | 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 teacher head, 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".