An RNA Activator of Subgenomic mRNA1 Transcription in Tomato Bushy Stunt Virus
Bibliographic record
Abstract
Many (+)-strand RNA viruses transcribe small subgenomic (sg) mRNAs that allow for regulated expression of a subset of their genes. Tomato bushy stunt virus (TBSV) transcribes two such messages and here we report the identification of a long-distance RNA*RNA interaction that is essential for the efficient accumulation of capsid protein-encoding sg mRNA1. The relevant base pairing interaction occurs within the TBSV RNA genome between a 7-nucleotide (nt) long sequence, separated by just 3 nt from the downstream sg mRNA1 initiation site, and a complementary sequence positioned some approximately 1000 nt further upstream. Analyses of this interaction indicate that it (i) functions in the (+)-strand, (ii) modulates both (+)- and (-)-strand sg mRNA1 accumulation, (iii) specifically regulates the accumulation of sg mRNA1 (-)-strands, (iv) controls sg mRNA1 expression from an ectopic transcriptional initiation site, (v) may occur in cis and, and (vi) could nucleate the formation of a more complex RNA structure. These data are most consistent with a role for this interaction in regulating sg mRNA1 accumulation at the level of transcription.
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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) | 0.003 | 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".