Polydnavirus gene provides accurate identification of species in the genus <i>Hyposoter</i> (Hymenoptera: Ichneumonidae)
Bibliographic record
Abstract
Abstract Accurate identification of species of parasitoid Hymenoptera often requires the analysis of multiple genetic and non‐genetic traits. Here, we investigate the potential for nuclear polydnavirus (PDV) gene loci to provide species‐level discrimination in the parasitoid wasp genus Hyposoter (Hymenoptera: Ichneumonidae). A region of one PDV gene, Cys‐d9.2 , was sequenced from nine species of wasps and an additional two PDV genes, Cys‐d9.1 and Rep‐c18.2 , were sequenced from multiple specimens of one species of wasp. A Bayesian phylogenetic analysis of the Cys‐d9.2 sequences resulted in accurate identification of species and no intraspecific variation was observed in this gene, Cys‐d9.1 or Rep‐c18.2 . Further statistical analyses showed that Cys‐d9.2 has a high prevalence of non‐synonymous nucleotide substitutions. Our results support the use of Cys‐d9.2 as an additional genetic locus for species delimitation in Hyposoter , highlighting the value of PDV gene information to taxonomists studying the ichneumonid subfamily, Campopleginae.
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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".