Conformational organization of the 3′ untranslated region in the tomato bushy stunt virus genome
Bibliographic record
Abstract
The 3' untranslated regions (UTRs) of positive-strand RNA viruses often form complex structures that facilitate various viral processes. We have examined the RNA conformation of the 352 nucleotide (nt) long 3' UTR of the Tomato bushy stunt virus (TBSV) genome with the goal of defining both local and global structures that are important for virus viability. Gel mobility analyses of a 3'-terminal 81 nt segment of the 3' UTR revealed that it is able to form a compact RNA domain (or closed conformation) that is stabilized by a previously proposed tertiary interaction. RNA-RNA gel shift assays were used to provide the first physical evidence for the formation of this tertiary interaction and revealed that it represents the dominant or "default" structure in the TBSV genome. Further analysis showed that the tertiary interaction involves five base pairs, each of which contributes differently to overall complex stability. Just upstream from the 3'-terminal domain, a long-distance RNA-RNA interaction involving 3' UTR sequences was found to be required for efficient viral RNA accumulation in vivo and to also contribute to the formation of the 3'-terminal domain in vitro. Collectively, these results provide a comprehensive overview of the conformational and functional organization of the 3' UTR of the TBSV genome.
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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) | 0.000 | 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".