Leaky Scanning and Scanning-independent Ribosome Migration on the Tricistronic S1 mRNA of Avian Reovirus
Bibliographic record
Abstract
The S1 genome segments of avian and Nelson Bay reovirus encode tricistronic mRNAs containing three sequential partially overlapping open reading frames (ORFs). The translation start site of the 3'-proximal ORF encoding the sigmaC protein lies downstream of two ORFs encoding the unrelated p10 and p17 proteins and more than 600 nucleotides distal from the 5'-end of the mRNA. It is unclear how translation of this remarkable tricistronic mRNA is regulated. We now show that the p10 and p17 ORFs are coordinately expressed by leaky scanning. Translation initiation events at these 5'-proximal ORFs, however, have little to no effect on translation of the 3'-proximal sigmaC ORF. Northern blotting, insertion of upstream stop codons or optimized translation start sites, 5'-truncation analysis, and poliovirus 2A protease-mediated cleavage of eIF4G indicated sigmaC translation derives from a full-length tricistronic mRNA using a mechanism that is eIF4G-dependent but leaky scanning- and translation reinitiation-independent. Further analysis of artificial bicistronic mRNAs failed to provide any evidence that sigmaC translation derives from an internal ribosome entry site. Additional features of the S1 mRNA and the mechanism of sigmaC translation also differ from current models of ribosomal shunting. Translation of the tricistronic reovirus S1 mRNA, therefore, is dependent both on leaky scanning and on a novel scanning-independent mechanism that allows translation initiation complexes to efficiently bypass two functional upstream ORFs.
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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".