Molecular characterization of mungbean yellow mosaic India virus infecting <i>Vigna radiata</i> in Oman
Bibliographic record
Abstract
Abstract The full‐genome sequences of a bipartite begomovirus were identified in a mungbean (Vigna radiata) crop displaying symptoms such as yellow mosaics and stunting in the Al‐Batinah North region (23.6867° N 57.9058° E), Oman. Initial detection and confirmation of the virus genome were carried out through polymerase chain reaction, followed by obtaining complete genomes using rolling circle amplification. Bioinformatics analysis on both genomic components, DNA‐A and DNA‐B, revealed over 99% nucleotide sequence identity to the mungbean yellow mosaic India virus (MYMIV), previously known to infect tomato plants. Pairwise sequence analysis using the STD tool and subsequent phylogenetic analysis unveiled that the DNA‐A of the MYMIV isolate formed a cluster with closely related DNA‐A sequences of MYMIV from GenBank, while the DNA‐B clustered with the corresponding DNA‐B of the MYMIV isolate. Additionally, no evidence of recombination events was observed in the recombination analysis. Similarly, the nucleotide substitution rates between the DNA‐A and DNA‐B segments of MYMIV did not show significant differences. This finding represents the first documented instance of bipartite MYMIV infecting V. radiata in Oman.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".