Detection and Partial Characterization of a Second Closterovirus Associated with Little Cherry Disease, Little cherry virus-2
Bibliographic record
Abstract
ABSTRACT Little cherry disease (LChD) is a complex and serious viral disease of cherry. Although originally described almost 70 years ago, there has been little progress in identifying the causal agent of the disease due to the difficulty in obtaining purified virus from infected trees. This problem was partially overcome in 1997 when the compete sequence of a closterovirus associated with LChD, Little cherry virus (LChV), was published. This virus could be associated with some, but not all, trees with LChD, indicating that another virus was also involved. We report here the partial characterization of a second closterovirus associated with LChD, Little cherry virus-2 (LChV-2), and in order to differentiate the two LChD-associated viruses, we refer to LChV as Little cherry virus-1 (LChV-1). LChV-2 is a new closterovirus with molecular similarities to Grapevine leafroll-associated virus-1 (GLRaV-1) and GLRaV-3 but only distantly related to LChV-1. Based on limited sequence comparisons, LChV-2 is the same virus previously identified in association with LChD in Canada. In reverse transcription-polymerase chain reaction detection assays using specific oligonucleotide primers to either LChV-1 or LChV-2, 27 of 28 isolates of LChD tested positive to one or both of these viruses originating from Europe and North America. These results would further confirm the association of LChV-2 with LChD. One isolate, however, tested negative to both LChV-1 and LChV-2, indicating that while this report brings us a step closer to understanding LChD, further work is required to confirm the causal agents of LChD.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".