<i>Hsp90 and physiological stress are linked to autonomous transposon mobility and heritable genetic change in nematodes</i>
Bibliographic record
Abstract
Transposable elements (TEs) have been recognized as potentially powerful drivers of genomic evolutionary change, but factors affecting their mobility and regulation remain poorly understood. Chaperones such as Hsp90 buffer environmental perturbations by regulating protein conformation, but are also part of the PIWI-interacting RNA pathway, which regulates genomic instability arising from mobile TEs in the germline. Stress-induced mutagenesis from TE movement could thus arise from functional trade-offs in the dual roles of Hsp90. We examined the functional constraints of Hsp90 and its role as a regulator of TE mobility by exposing nematodes (Caenorhabditis elegans and Caenorhabditis briggsae) to environmental stress, with and without RNAi-induced silencing of Hsp90. TE excision frequency increased with environmental stress intensity at multiple loci in several strains of each species. These effects were compounded by RNAi-induced knockdown of Hsp90. Mutation frequencies at the unc-22 marker gene in the offspring of animals exposed to environmental stress and Hsp90 RNAi mirrored excision frequency in response to these treatments. Our results support a role for Hsp90 in the suppression of TE mobility, and demonstrate that that the Hsp90 regulatory pathway can be overwhelmed with moderate environmental stress. By compromising genomic stability in germline cells, environmentally induced mutations arising from TE mobility and insertion can have permanent and heritable effects on both the phenotype and the genotype of subsequent generations.
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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".