First Attempts at DNA Barcoding Lepidoptera in North Cyprus Reveal Unexpected Complexities in Taxonomic and Faunistic Issues
Bibliographic record
Abstract
The fauna of Lepidoptera in the Mediterranean is still inadequately documented. As a result, even remotely complete DNA barcode libraries (mt. COI (cytochrome c oxidase 1) gene) are lacking in most areas. This proposed gap is being analyzed for the first time for the fauna of North Cyprus. In the initial phase, 248 morphospecies from 29 families (exclusive Heterocera) were sampled, sequenced and compared with existing DNA reference sequences in the global BOLD database (Barcode of Life Data Systems) via BINs (Barcode Index Numbers). A total of 194 species could be unequivocally assigned to a Linnaean taxon. Additionally, six species previously unidentified in BOLD, as well as fourteen species without reference barcodes, were identified at the species level. Twenty-four of these species were new records for Cyprus. In addition, 25 taxa with new BINs could not be assigned to a valid species due to potential cryptic diversity or the lack of relevant revisions. Furthermore, a few species could not be identified due to barcode sharing and/or potential misidentifications in BOLD. Overall, approximately 20% of the samples could not be identified using the existing DNA barcode libraries, a significant deficit for European standards, which should be addressed as a priority issue in future studies.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".