Two kinds of sex ratio distorters in a moth,<i>Ostrinia scapulalis</i>
Bibliographic record
Abstract
We surveyed female-biased sex ratio traits (SR traits) in a moth, Ostrinia scapulalis (Lepidoptera: Crambidae) from six geographic locations in Japan. A small proportion (8.3%) of females showed the SR trait. About half of them were associated with a Wolbachia infection (SRw+), whereas the remaining ones were not (SRw-). No significant differences in frequencies were detected among locations and years for either SRw+ or SRw- females. In SRw+ matrilines, the SR trait was inherited. Curing the Wolbachia infection by tetracycline at the larval stages resulted in all-male broods in the next generation. These characteristics were identical to the Wolbachia-induced SR trait observed previously in the related species Ostrinia furnacalis. The Wolbachia strain in O. scapulalis was indistinguishable from that in O. furnacalis in terms of the wsp and ftsZ gene sequences, suggesting either that infection originated from a common ancestor of the two hosts or that Wolbachia was transmitted horizontally between the host species. In SRw- matrilines, on the other hand, the SR trait was not due to bacterial infection but some other maternally inherited element, since antibiotic treatment had no effect and bacterial PCR did not give the characteristic product. In these matrilines, the SR trait occasionally failed to show, suggesting the presence of nuclear factor(s) suppressing the SR trait.
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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 | 0.001 | 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".