COMPARISON AND APPLICATION OF SYBR GREEN AND TAQMAN BASED REAL-TIME PCR ASSAYS FOR DETECTION OF CLASSICAL SWINE FEVER VIRUS
Bibliographic record
Abstract
SYBR Green and TaqMan probe based quantitative real-time PCR(qRT-PCR) assays targeting the conserved 5-UTR region were established for detection of classical swine fever virus(CSFV).The two assays were capable of specifically detecting different groups of CSFV,whereas bovine viral diarrhea virus and a number of other porcine viruses were tested negative.The detection limit was 101TCID50 for both assays on the vaccine C-strain,more sensitive than that of conventional RT-nested PCR.Using the recombinant plasmid containing the 5-UTR gene as template,the detection limit was 3.0×100 and 3.0×101 copies for SYBR Green and TaqMan based qRT-PCR,respectively.Out of 20 samples of diseased pigs collected from Zhejiang province in 2009,8 samples were positive for CSFV by SYBR Green based qRT-PCR,which was consistent with those using RT-nested PCR.The SYBR Green based qRT-PCR was further applied to detection of viral RNA in PK-15 cells infected with CSFV.The curve of accumulated viral RNA was in agreement with the infectivity titer at different times post-infection.Therefore,the SYBR Green based qRT-PCR is specific and sensitive for detection of CSFV in tissue and cultured cells.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".