Mycoplasma hyopneumoniae ve Mycoplasma hyorhinis’in Aynı Anda Tespitinde Gerçek Zamanlı, Dubleks PCR Metodunun Uygulanması
Bibliographic record
Abstract
The objective of this study was to develop a TaqMan probe-based, sensitive, specific duplex real-time PCR assay for simultaneous detection of Mycoplasma hyopneumoniae and Mycoplasma hyorhinis.The specific primers and probes, labeled with FAM and Texas Red, respectively, were designed to amplify the p97 gene of M. hyopneumoniae and p37gene of M. hyorhinis.The duplex real-time PCR reaction mixtures were established and optimized and the sensitivity, specificity and reproducibility of the assay were assessed.The sensitivity of the duplex real-time PCR was found to be 10 copies/μL for both M. hyopneumoniae and M. hyorhinis, respectively.There was no cross reaction with other common viral and bacterial pathogens.The concentration of standard coefficient of variation of Ct values was less than 5%, indicating a good reproducibility.Clinical samples (n = 937) were tested by the duplex real-time PCR assay, including broncho-alveolar lavage fluids, nasal swabs, tissues and cell culture supernatant.Duplex real-time PCR for simultaneous detection of M. hyopneumoniae and M. hyorhinis was highly sensitive and can be utilized for diagnosing clinical samples.It is timeefficient and economic, thereby providing a new approach to control both M. hyopneumoniae and M. hyorhinis.
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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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".