Development of primers for the mitochondrial cytochrome <i> c</i> oxidase I gene in digenetic trematodes (Platyhelminthes) illustrates the challenge of barcoding parasitic helminths
Bibliographic record
Abstract
The phylum Platyhelminthes is a diverse group of flatworms that includes parasites with serious impacts on human health, animal husbandry, aquaculture and wildlife management. Here we present degenerate primers for the barcode region of the mitochondrial cytochrome c oxidase I (COI) gene in flatworms. Although amplicons were obtained from a wide taxonomic range in the Cestoda and Trematoda, COI fragments from many taxa in these classes did not amplify. Primers specific to trematodes in the family Diplostomidae were also developed. Amplification success was much higher with diplostomid-specific primers and sequences were obtained from 504 of 585 specimens of Diplostomum and Tylodelphys. Sequences from the barcode region resolved all specimens to the species level, with mean divergence between congeners of 19% (3.9-25%). Because many of our specimens were small, we initially amplified part of the nuclear small subunit ribosomal (r) RNA gene to evaluate the quality and quantity of DNA in our specimens. Short sequences (~380 nt) of this gene were recovered from most specimens and can be used to distinguish specimens at the family level and often the generic level. We suggest that rRNA genes could be used to screen samples of completely unknown taxonomy, after which specific COI primers could be used to obtain species-level identifications.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".