Development of a novel triplex PCR assay for the detection and differentiation of thermophilic species of Campylobacter using 16S-23S rDNA internal transcribed spacer (ITS) region
Bibliographic record
Abstract
AIM: Campylobacter species are significantly implicated in human gastrointestinal infections. Of 20 species of Campylobacter, C. jejuni, C. coli and C. lari have been considered as the most important causative agents of human infections. In order to better understand the occurrence and epidemiology of these thermophilic Campylobacter species, an improved and rapid detection method is warranted. A novel triplex polymerase chain reaction (PCR) assay was developed based on the variable 16S-23S rDNA internal transcribed spacer (ITS) region to identify and discriminate between these species in water samples. METHODS AND RESULTS: Campylobacter species-specific primers for C. jejuni, C. coli and C. lari derived from highly variable sequences in the ITS region were used. Specificity of the newly designed primers and PCR conditions were verified using other species of Campylobacter as well as 31 different negative control species. The assay was further validated with 97 Campylobacter cultures from water samples. CONCLUSIONS: The assay was found to be simple, easy to perform, and had a high sensitivity, specificity and reproducibility. It enabled simultaneous detection and differentiation of multiple Campylobacter species in water samples. SIGNIFICANCE AND IMPACT OF STUDY: Use of the newly developed PCR assay, coupled with a previously developed rapid DNA template preparation step, will enable improved detection capabilities for Campylobacter species in environmental matrices.
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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 | 0.000 | 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 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".