JNK signaling regulates reproductive trade-offs after <i>Plasmodium</i> infection in the malaria mosquito
Bibliographic record
Abstract
ABSTRACT Environmental stress can limit mammalian reproduction by affecting production of sexual steroid hormones. Here we reveal a similar mechanism in the malarial mosquito Anopheles gambiae : activation of the stress-sensitive c- J un N -terminal k inase, JNK, constrains reproductive investment by suppressing production of ecdysteroids that orchestrate egg development in this species. We show that infection with Plasmodium berghei parasites increases JNK signalling in the reproductive tract causing a JNK-dependent reduction in both egg development and mosquito survival. Moreover, JNK signaling supresses expression of Cyp315a1 (AGAP000284), a rate-limiting enzyme in ecdysteroid synthesis, a transcriptional change reflected in reduced ecdysteroid production following an infected blood meal. A similar mechanism limits egg production under other stressors (heat stress, or ectopic activation of JNK signaling). Together, these data reveal a regulatory circuit whereby Plasmodium infection curtails reproductive investment in an important vector of human malaria, one that may be applicable to environmental stressors more generally.
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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) | 0.002 | 0.001 |
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".