<i>Agrobacterium</i>‐mediated inoculation of asymptomatic Apple latent spherical virus as gene silencing vector in pea (<i>Pisum sativum</i> L.)
Bibliographic record
Abstract
Abstract Apple latent spherical virus (ALSV) has been developed into a virus‐induced gene silencing vector with a broad host range, including legumes. Using Agrobacterium tumefaciens , delivered via stem injection, we introduced ALSV vectors carrying a phytoene desaturase ( PDS ) sequence from Phaseolus vulgaris, resulting in highly uniform knockdown phenotypes on Pisum sativum L., 23 days postinoculation. The infection rate ranged from 7.6% to 36.3% on five different P. sativum varieties using Agrobacterium stem inoculation. Mechanical inoculation using infected pea sap improved the infection rates to 80% on P. sativum cultivar AAC Lacombe. Reverse transcription polymerase chain reaction and real‐time reverse transcription polymerase chain reaction demonstrated that ALSV virus RNA accumulated in roots, tendrils and leaves, accompanied by decreased PsPDS (Pisum sativum phytoene desaturase) expression level. ALSV virus RNA was also detected from sepals, petals, carpels, pods, and seed coats but not in embryos. This method simplifies the ALSV inoculation and improves the use of ALSV vectors for functional genomics in P. sativum.
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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 | 0.000 | 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 | 0.001 |
| 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".