DNA barcoding of the Mediterranean chondrichthyans (ELASMOMED)
Bibliographic record
Abstract
Within ELASMOMED, a regional initiative of the Fish-BOL campaign aiming at the DNA barcoding of Medi-terranean chondrichthyans (sharks, skates, rays and chimeras), we have sampled and barcoded ca. 1000 cartilaginous fishes collected from several locations in the Western and Eastern Mediterranean and adja-cent Eastern Atlantic. Individuals were obtained from international and national scientific trawl surveys (e.g. MEDITS) or at the fish markets (e.g. Poissonerie de Algiers) and provisionally assigned to species based on the available morphological identification keys and guidelines. Finclip or muscle tissue specimens were collected following Fish-BOL protocol and processed for DNA barcoding at the Canadian Centre for DNA Barcoding (CCDB) of Guelph or at the own molecular labs at the Universities of Bologna, Cagliari and Palermo. Barcodes were deposited in the BOLD under the ELASMOMED Project (http://www.boldsystems.org/views/projectlist.php?&). We obtained 835 COI-5P sequences of high quali-ty (< 1% of Ns) belonging to 58 cartilaginous fish species (Mediterranean: 16 shark species out of the 42 reported in the basin; 19/36 skates and rays; 1/1 chimera; Eastern Atlantic: 27 skates and rays). According to the DNA barcode variation, we get evidence for 1) the high taxonomic resolution and reliability of the barcode identification, 2) the occurrence of species misidentification or missing identification of few sharks and numerous skate individuals based on the external rough morphology during routine data col-lection of the fishery survey programmes; 3) the geographical cryptic speciation in Atlantic and Mediterra-nean skates, and 4) the geographical structuring in skates among Atlantic, Western and Eastern Mediterranean population samples. These outcomes highlighted and reinforced general issues which are relevant for understanding the evolution and the population biology of chondrichthyans in the Mediterra-nean as well as for planning the conservation and management of endangered or declining species (Dulvy & Reynolds 2009; Griffiths et al. 2010; Iglésias et al. 2009).
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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 | 0.001 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".