The role of ecdysteroid in the regulation of ovarian growth and oocyte maturation in <i>Rhodnius prolixus</i>, a vector of Chagas disease
Bibliographic record
Abstract
Rhodnius prolixus is a blood-gorging insect that is medically important since it transmits Chagas disease via feces and urine that contain the parasite Trypanosoma cruzi. In adult females, ecdysteroid hormone (20-hydroxyecdysone, 20E) is involved in the growth of the ovary and development of eggs post-blood meal (PBM). Halloween genes are essential for ecdysteroid synthesis since they code for cytochrome P450 enzymes in the ecdysteroidogenic pathway. The ecdysone receptor (EcR/USP) binds 20E, resulting in activation of ecdysone-responsive genes. We have identified and characterized the Halloween genes, and the non-Halloween gene, neverland, in the R. prolixus ovary using transcriptomic data. We used BLAST to compare transcriptome sequences with other arthropod sequences to identify similar transcripts. Our results indicate that the Halloween genes, neverland and ecdysone receptor transcripts are present in the ovaries of R. prolixus. We have quantified, by qPCR, Halloween gene transcript expression in the ovary following a blood meal. Most of the Halloween genes are upregulated during the first 3 days PBM. Knockdown of EcR, USP and shade transcripts, using RNA interference, results in a significant reduction in the number of eggs produced and a severe reduction in egg laying and hatching rate. Furthermore, knockdown of the EcR or shade transcripts altered the expression of the chorion gene transcripts Rp30 and Rp45 at day 3 and 6 PBM. These results indicate that ecdysteroids play critical roles in reproduction of female R. prolixus.
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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) | 0.000 | 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 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".