Retrotransposon 3S18 forms self-protective aggregates and prolongs mid-oogenesis
Bibliographic record
Abstract
Transposons are prevalent across nearly all species due to their capacity to mobilize in the host genome. However, their products may begin to affect the host before integration occurs. Here, we identified that the activation of transposons results in significantly smaller mid-stage oocytes and prolonged mid-oogenesis of Drosophila. Notably, one specific long terminal repeat (LTR) retrotransposon, 3S18, primarily contributes to this phenotype. We found that 3S18 mRNA and its integrase form micrometer-scaled ribonucleoprotein aggregates at cell-cell bridges during these stages. Interestingly, mutants that suppress the formation of these RNP aggregates substantially reduce 3S18 mRNA levels, suggesting that 3S18 aggregates serve functional importance in protecting the retrotransposon products. Live imaging reveals that the accumulation of 3S18 RNP aggregates obstructs host material transportation, resulting in prolonged mid-oogenesis. Finally, forcefully extending oogenesis significantly enhances 3S18 propagation. Our study highlights the unique characteristics of 3S18 and its impact on host development. It may shed light on studies of other parasitic elements, including viruses.
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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".