Nutrient status alters developmental fates via a switch in mitochondrial homeodynamics
Bibliographic record
Abstract
Steroid hormones are powerful endocrine regulators, but little is known about how environmental conditions modulate steroidogenesis to reprogram developmental fates. Here, we use the Drosophila prothoracic gland (PG) to investigate how a nutrient restriction checkpoint (NRC) ensures or blocks developmental progression and sexual maturation via regulating steroidogenesis. Extensive transcriptome analysis of the PG reveals that pre-NRC starvation significantly downregulates mitochondria-associated genes. Pre-NRC starvation reduces prothoracicotropic neuropeptide hormone signaling, insulin signaling, and TORC1 activity in PG cells, which prevent mitochondrial fragmentation and import of Disembodied, a key steroidogenic enzyme. Ultimately, pre-NRC starvation causes severe mitophagy and proteasome dysfunction, blocking steroidogenesis and metamorphosis. By contrast, post-NRC starvation does not impair mitochondrial homeostasis in PG cells but reduces sit expression and induces moderate autophagy to promote steroidogenesis, leading to precocious metamorphosis. This study constitutes a paradigm for exploring how steroid hormone levels are controlled in response to environmental stress during developmental checkpoints. The prothoracic gland is the principal steroidogenic gland in Drosophila. Here Zhang et al. perform transcriptomic analysis and show that starvation prior to the nutrient restriction checkpoint alters mitochondrial homeostasis in the gland and blocks steroid hormone production.
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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".