DNA barcoding a highly diverse group of parasitoid wasps (Braconidae: Doryctinae) from a Mexican nature reserve
Bibliographic record
Abstract
BACKGROUND AND AIMS: The preliminary results of a DNA barcoding study of the doryctine fauna of parasitoid wasps from the Chamela-Cuixmala Biosphere Reserve in Mexico, a region dominated by tropical dry forest, are presented. So far, three field trips have been carried out to the reserve and 468 specimens have been collected, of which 407 cox1 sequences were obtained. MATERIALS AND METHODS: The general mixed Yule-coalescent model was applied to a phylogram to investigate the number of evolutionary units that can be detected from the DNA sequence data examined. RESULTS: A total of 185 barcoding species assigned to 20 identified doryctine genera were discriminated using the above model, 115 of which belong to the speciose genus Heterospilus, pointing out the extraordinary species richness of this subfamily of insects in a Mexican tropical dry forest. CONCLUSION: On the basis of the DNA barcodes generated, Ptesimogastroides Braet & van Achterberg is proposed to be a junior synonym of Ptesimogaster Marsh syn. nov. Neoheterospilus was also found deeply nested within a large Heterospilus clade, suggesting the paraphyly of the latter genus.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".