Detection of multiple sequence variants of Grapevine rupestris stem pitting-associated virus using primers targeting the polymerase domain and partial genome sequencing of a novel variant
Bibliographic record
Abstract
Grapevine rupestris stem pitting-associated virus (GRSPaV) is a member of the genus Foveavirus within the new family Betaflexiviridae. GRSPaV is distributed among grapevines worldwide and is implicated in the disease rupestris stem pitting (RSP) of the rugose wood complex and two other disorders. GRSPaV is composed of a wide range of sequence variants, and so far, the complete genomes of five sequence variants have been sequenced. Quick and reliable detection of different GRSPaV variants is a critical step in the elimination and control of GRSPaV. Previously, primers designed from various genomic regions have been used in RT-PCR for the detection of GRSPaV variants. The efficiency of RT-PCR varied widely depending on the spectrum of the primers that were used. In this study, we designed a pair of degenerate primers based on the consensus sequence of the genomic region encoding the highly conserved RNA-dependent RNA polymerase domain from five reference isolates of GRSPaV for which the genome sequence are available. We demonstrate that this set of primers is comparable, if not superior, to the broad-spectrum primers RSP13&14 in detecting multiple GRSPaV variants. Using these degenerate primers, we identified two new and distinct sequence variants. The 3′ terminal genomic region of one of the new variants, GRSPaV-ML, spanning the 3′ part of ORF1, through the entire open reading frames 2–4, and the 5′ region of ORF5 were sequenced. Sequence comparison demonstrates that GRSPaV-ML is distinct from each of the five reference isolates.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".