Development of a Real-Time RT-PCR for the Universal Detection of LChV1 and Study of the Seasonal Fluctuation of the Viral Titer in Sweet Cherry Cultivars
Bibliographic record
Abstract
Little cherry virus 1 (LChV1) is a sweet cherry pathogen which has lately been reported in other Prunus spp. LChV1 variability makes reliable detection a challenging undertaking. The objective of this work was to develop a rapid, sensitive, and reliable one-tube, real-time reverse-transcription polymerase chain reaction (RT-PCR) for the detection and quantification of LChV1. Primers and a TaqMan probe were designed, using conserved regions of the capsid protein gene. Detection range was evaluated using several divergent viral isolates. The amplification efficiency of the method was estimated at 96.7%, whereas the detection limit was about 100 RNA copies. The protocol was applied in the study of virus fluctuation within leaves and phloem tissue throughout the year and the best periods to test and plant tissues to sample were determined. Comparative analysis of this method with a previously published nested RT-PCR revealed the higher analytical and diagnostic sensitivity of the new test, making it a reliable tool that can be used in routine testing and certification programs.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".