Barcoding the Neotropical freshwater fish fauna using a new pair of universal COI primers with a discussion of primer dimers and M13 primer tails
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Bibliographic record
Abstract
Designing primers for DNA barcoding is a significant challenge for the rich Neotropical fish fauna, which is comprised of ∼6000 species. Previously, researchers required multiple pairs of PCR primers or primer cocktails to obtain standard COI (i.e., mitochondrial cytochrome c oxidase subunit I) barcode sequences from assemblages of freshwater fish in this region. To simplify DNA barcoding and metabarcoding studies of Neotropical freshwater fish, we present a new pair of COI primers, which have yielded high quality barcodes across six teleost orders-Characiformes, Cichliformes, Cyprinodontiformes, Gymnotiformes, Siluriformes, and Synbranchiformes-native to South America. Following previous fish barcoding studies, we also tailed our primers with M13 forward and reverse primers to facilitate the DNA sequencing process. Although this practice generates primer dimers, we obtained complete and high quality COI barcode sequences for all samples. We discuss the problem of primer dimers and suggest strategies for neutralizing their influence on data quality.
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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 | 0.000 |
| 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