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Record W2139350041 · doi:10.1177/104063871002200316

Amplification of the Second Internal Transcribed Spacer Ribosomal DNA of Individual Trichostrongylid Nematode Larvae by Nested Polymerase Chain Reaction

2010· article· en· W2139350041 on OpenAlexaff
Kathrin A. Sim, Bryanne M. Hoar, Susan Kutz, Neil B. Chilton

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2010
Typearticle
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsUniversity of CalgaryUniversity of Saskatchewan
Fundersnot available
KeywordsBiologyInternal transcribed spacerRibosomal DNAPolymerase chain reactionAmpliconNested polymerase chain reactionRibosomal RNAGeneticsNematodegenomic DNADNASpacer DNAGenePhylogeneticsEcology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.284
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2010
Admission routes1
Has abstractyes

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