Amplification of the Second Internal Transcribed Spacer Ribosomal DNA of Individual Trichostrongylid Nematode Larvae by Nested Polymerase Chain Reaction
Bibliographic record
Abstract
The second internal transcribed spacer (ITS2) of ribosomal DNA (rDNA) is used as a genetic marker to identify trichostrongylid nematodes. However, it is often difficult to amplify by polymerase chain reaction (PCR) the ITS2 rDNA of a single trichostrongylid nematode larva or egg. A nested PCR (nPCR) assay was, therefore, developed to amplify the ITS2 from individual trichostrongylid nematode larvae. The results show that the ITS2 rDNA of a significantly greater proportion of individual larvae was amplified using nPCR compared with a standard PCR. There was also no need to column-purify the genomic DNA before nPCR, which is more time and cost effective for studies involving large sample sizes. The amplicons produced from the secondary phase of the nPCR were subjected to single-strand conformation polymorphism analyses and DNA sequencing to confirm the species identity of the larvae used in the current study as Ostertagia gruehneri. The nPCR assay was also used to amplify the ITS2 from individual trichostrongylid eggs. The ability to amplify the ITS2 rDNA from large numbers of individual nematode eggs and larvae has important implications for diagnostic testing and for conducting epidemiological studies on these parasites of veterinary importance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".