Molecular characterization of ageratum enation virus and DNA-satellites associated with yellowing and leaf curl symptoms on mulberry in Pakistan
Bibliographic record
Abstract
The whitefly-transmitted begomoviruses (family Geminiviridae) infect dicotyledonous plants and occur in tropical and sub-tropical regions. Although most commonly found in herbaceous plants, recently begomoviruses have increasingly been identified in woody plants. Leaf samples from five mulberry (Morus alba L.) plants with leaf yellowing and curling symptoms were collected in Lahore (Pakistan) and shown by PCR to be associated with a begomovirus, an alphasatellite and a betasatellite. The complete sequences of two begomovirus clones, as well as an alphasatellite clone and a betasatellite clone, were determined. The begomovirus clones were shown to be isolates of ageratum enation virus (AEV), a virus most commonly identified in weeds but increasingly being identified in crops such as tomato, soybean and fenugreek. Analyses of the sequences of the alphasatellite and betasatellite clones showed them to be isolates of Guar leaf curl alphasatellite and Papaya leaf curl betasatellite, respectively. Both the virus and the alphasatellite sequences showed evidence of a recombination. This is the first report of the weed-infecting monopartite begomovirus AEV, and associated satellites, infecting the woody plant mulberry.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".