Two agroinfection-compatible fluorescent protein-tagged infectious cDNA clones of papaya leaf distortion mosaic virus facilitate the tracking of virus infection
Bibliographic record
Abstract
Papaya leaf distortion mosaic virus (PLDMV, the genus Potyvirus) is an emerging threat to papaya production. Here, agroinfection-compatible fluorescent protein-tagged PLDMV infectious cDNA clones driven by the Cauliflower mosaic virus 35S promoter were successfully constructed using one-step Gibson assembly. The clones were directly transformed into Agrobacterium tumefaciens to prevent potential problems such as plasmid instability during propagation in Escherichia coli. Ninety-five percent of papaya seedlings infected with PLDMV-GFP or PLDMV-mCherry developed systemic symptoms typical of those caused by wild-type PLDMV. Green and mCherry red fluorescence was observed in leaves, stems, and roots of infected papaya plants. The fluorescent protein-tagged agroinfectious PLDMV cDNA clones were stable in papaya for more than 90 days and during six serial passages at 30-day intervals. The availability of these infectious clones will contribute to research on PLDMV-host interactions and can be applied in the papaya breeding program for PLDMV resistance.
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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 | 0.001 |
| 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".