Regulatory Activity of Distal and Core RNA Elements in Tombusvirus Subgenomic mRNA2 Transcription
Bibliographic record
Abstract
Positive-strand RNA viruses that encode multiple cistrons often mediate expression of 3'-encoded open reading frames via RNA-templated transcription of subgenomic (sg) mRNAs. Tomato bushy stunt virus (TBSV) is a positive-strand RNA virus that transcribes two such sg mRNAs during infections. We have previously identified a distal element (DE), located approximately 1100 nucleotides upstream from the initiation site of sg mRNA2 transcription, part of which must base pair with a portion of a core element (CE), located just 5' to the initiation site, for efficient transcription to occur (Zhang, G., Slowinski, V., and White, K. A. (1999) RNA 5, 550-561). Here we have analyzed further this long distance RNA-RNA interaction and have investigated the regulatory roles of other subelements within the DE and CE. Our results indicate that (i) the functional base-pairing interaction between these elements occurs in the positive strand and that the interaction likely acts to properly position other subelements, (ii) two previously undefined subelements within the DE and CE are important and essential, respectively, for efficient sg mRNA2 accumulation, and (iii) the production of (-)-strand sg mRNA2 can be uncoupled from the synthesis of its (+)-strand complement. These data provide important insight into the mechanism of sg mRNA2 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) | 0.001 | 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".