<i>Agrobacterium</i>‐mediated inoculation of asymptomatic Apple latent spherical virus as gene silencing vector in pea (<i>Pisum sativum</i> L.)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it