<i>Seven up</i> regulates reproductive diapause initiation via juvenile hormone biosynthesis in the cabbage beetle <i>Colaphellus bowringi</i>
Bibliographic record
Abstract
Reproductive diapause is an insect survival strategy in which reproduction temporarily halts in response to adverse environmental changes. This process is characterized by arrested ovarian development and lipid accumulation in females. A reduction in juvenile hormone (JH) biosynthesis is known to initiate reproductive diapause, but its regulatory mechanism remains unclear. Seven up (Svp), a transcription factor from the nuclear receptor family, plays a crucial role in various developmental processes in insects. In this study, using the cabbage beetle Colaphellus bowringi as a model, we observed higher expression of Svp in the heads of female adults under reproductive photoperiodic conditions (short-day [SD]) compared to diapause conditions (long-day [LD]). RNA interference-mediated knockdown of Svp in SD females induced typical diapause phenotypes, including ovarian arrest and lipid accumulation. The application of methoprene (ME), a JH receptor agonist, reversed these diapause phenotypes and restored reproduction, indicating that Svp's regulation of reproductive diapause is dependent on JH signaling. Additionally, Svp knockdown led to the downregulation of JH pathway genes and a reduction in JH titers. Further evidence suggested that Svp regulates the expression of JHAMT1, a critical gene in JH biosynthesis, which determines diapause entry in C. bowringi. These findings suggest that diapause-inducing photoperiods suppress Svp expression, blocking JH production and triggering diapause. This work reveals a critical transcription factor that regulates reproductive diapause initiation through modulating JH production, providing a potential target for controlling pests capable of entering reproductive diapause.
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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".