DNA barcoding of flat bugs (Hemiptera: Aradidae) with phylogenetic implications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work introduces an open online library of Aradidae DNA barcodes, specimen images and geographical data with intent of promoting further community-based DNA barcoding of flat bugs. We report the results of an attempt to DNA barcode 191 dry specimens of the flat bugs representing all 8 extant subfamilies of the Aradidae. 145 sequences > 300 nt in length were obtained (76% success rate; all can be seen in a publicly accessible dataset “World Aradidae”, doi: dx.doi.org/10.5883/DS-WAHG), 98 of them representing 55 species and 29 genera were > 500 nt (51%). These 98 sequences were combined with 10 Heteroptera-Trichophora outgroup taxa into an aligned matrix of 658 positions and variously analysed to obtain the first DNA-based phylogeny for the Aradidae, which was our second goal. Aradidae and five of its subfamilies (Aradinae, Aneurinae, Mezirinae, Isoderminae, Calisiinae) were recovered as monophyletic, although the latter two were markedly underrepresented. The subfamily Carventinae was consistently polyphyletic. Isoderminae + Prosympiestinae was recovered as a clade, while Aradinae formed the sister group to the rest of the family in three of four analyses. The genus Mezira appeared polyphyletic while the genus Neuroctenus was paraphyletic with respect to Ctenoneurus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it