Grapevine leafroll-associated virus 3: a global threat to grapevine and wine industries but a gold mine for scientific discovery
Bibliographic record
Abstract
Grapevine leafroll disease is the most damaging viral disease afflicting global grape and wine production. Of the five viruses likely to be associated with the disease, grapevine leafroll-associated virus 3 (GLRaV3) is believed to be the predominant agent, albeit its role as the causal agent has remained uncertain. GLRaV3 (species Ampelovirus trivitis, genus Ampelovirus, family Closteroviridae) has the third largest single-stranded, positive-sense RNA genome among plant viruses at ~18.5 kb, only surpassed by two other members of the family Closteroviridae, citrus tristeza virus and GLRaV1. GLRaV3 is unique among plant viruses in several ways, including the size of its genome, the long non-coding regions, and its association with the outer mitochondrial membrane for viral replication. Unfortunately, our understanding of the molecular mechanisms governing GLRaV3 genome replication, gene expression, and virus-host interactions is poor due to many factors. These include the unavailability of infectious cDNA clones and, until recently, an effective experimental system to initiate grapevine infection with viral clones. In this review, we capture recent advances in GLRaV3 research towards the establishment of infectious clones, grapevine inoculation systems, as well as approaches to elucidating the function of GLRaV3-encoded proteins. We also present a working model to explain GLRaV3 pathogenesis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".