<scp>DNA</scp> barcoding species inventory of <scp>M</scp>icrogastrinae wasps (<scp>H</scp>ymenoptera, <scp>B</scp>raconidae) from a <scp>M</scp>exican tropical dry forest
Bibliographic record
Abstract
The cosmopolitan Microgastrinae is probably the most diverse braconid subfamily of parasitoid wasps, yet its species diversity is far from being known. As part of a global initiative for DNA barcoding Microgastrinae species, here we show the results of a study that assessed the species richness of this subfamily in a Mexican tropical dry forest located in the Chamela region, near the Pacific coast of Jalisco. Barcoding sequences of a total of 551 microgastrine specimens were generated, corresponding to 238 haplotypes. Performance of two species delineation approaches, a 2% corrected pairwise distance criterion and the general mixed Yule-coalescent (GMYC) method, yielded 100 and 112 putative species, respectively, which belong to 13 genera. The species delimited by the above two approaches were mostly congruent with our morphospecies identification. Ten molecular operational taxonomic units (MOTUs) were split into twenty-two species by the GMYC approach. We found morphological differences between the GMYC species corresponding to three of these MOTUs. Thus, a total of 103 microgastrine species were confirmed for the region of study. Thirty-three species were only represented by males, and therefore, their generic assignment is only tentatively proposed. Fornicia, Dolichogenoidea, Distatrix, Glyptapanteles and Pholetesor represent new generic records for the Mexican territory. A new record for the country is also provided for the Diolcogaster-basimacula species group. Based on a comparison of nearly 20 000 barcoding sequences released for Microgastrinae from 75 countries, only five microgastrine species from Chamela were found to occur in other countries, four in Costa Rica and one in Canada and the United States.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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".