Molecular Identification of Prune Dwarf Virus (PDV) Infecting Sweet Cherry in Canada and Development of a PDV Full-Length Infectious cDNA Clone
Bibliographic record
Abstract
Prune dwarf virus (PDV) is a member of ilarviruses that infects stone fruit species such as cherry, plum and peach, and ornamentally grown trees worldwide. The virus lacks an RNA silencing suppressor. Infection by PDV either alone, or its mixed infection with other viruses causes deteriorated fruit marketability and reduced fruit yields. Here, we report the molecular identification of PDV from sweet cherry in the prominent fruit growing region of Ontario, Canada known as the Niagara fruit belt using next generation sequencing of small interfering RNAs (siRNAs). We assessed its incidence in an experimental farm and determined the full genome sequence of this PDV isolate. We further constructed an infectious cDNA clone. Inoculation of the natural host cherry with this clone induced a dwarfing phenotype. We also examined its infectivity on several common experimental hosts. We found that it was infectious on cucurbits (cucumber and squash) with clear symptoms and Nicotiana benthamiana without causing noticeable symptoms, and it was unable to infect Arabidopsis thaliana. As generating infectious clones for woody plants is very challenging with limited success, the PDV infectious clone developed from this study will be a useful tool to facilitate molecular studies on PDV and related Prunus-infecting viruses.
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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 | 0.000 | 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".