Mapping studies of the <i>Peach latent mosaic viroid</i> reveal novel structural features
Bibliographic record
Abstract
Knowledge of the structure of a viroid is critically important to elucidate the roles played by the various RNA motifs in the steps of the viroid's life cycle. A new technique, RNA-selective 2'-hydroxyl acylation analysed by primer extension (SHAPE), has recently been shown to be fast, reliable and applicable to the study of various RNA molecules. Consequently, this method was used to probe sequence variants of Peach latent mosaic viroid (PLMVd). Initially, probing data from RNA strands of both polarities of the Siberian C variant confirmed the secondary structures previously determined using both conventional and fastidious approaches. Subsequently, analysis of an Alberta variant showed an identical structure for the strand of (-) polarity, but the (+) polarity strand exhibited two differences from the Siberian C variant: the P11-L11 stem-loop domain formed a cruciform structure, and nucleotides from loops L1 and L11 were involved in the formation of a pseudoknot. The existence of both of these motifs was confirmed by site-directed mutagenesis. The subsequent probing of 12 natural sequence variants led to the elucidation of the criteria governing the formation of this novel pseudoknot. Importantly, this study revealed that the heterogeneity of a viroid is not limited to its nucleotide sequence, but may also occur at the structural level.
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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 | 0.000 |
| 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".