Genomic RNAs of Borna disease virus are elongated on internal template motifs after realignment of the 3′ termini
Bibliographic record
Abstract
The terminal structures of the Borna disease virus (BDV) genome (vRNA) and antigenome (cRNA) differ from those of other negative strand RNA viruses, as both molecules possess four nucleotides at the 3' terminus without an apparent template at the 5' end of the opposite strand. Consequently, the v- and cRNA molecules are not perfect mirror images, a situation that is not compatible with conventional strategies to maintain genetic information. We show here that recombinant viruses recovered from cDNA lacking the nontemplated nucleotides efficiently reconstitute the 3' overhangs. Analyses of recombinant viruses encoding genetic markers in potential alternative template sequences demonstrated that the BDV v- and cRNA molecules are extended by a realign-and-elongation process on internal template motifs located in close proximity to the 3' ends of v- and cRNA, respectively. The data further suggest that cRNA elongation is restricted to a single template motif of the nascent strand, whereas elongation of vRNA might use multiple template motifs. We propose that the elongation of the 3' termini supports the terminal integrity of the genomic RNA molecules during BDV persistence, and furthermore provides an elegant strategy to eliminate the triphosphate groups from the 5' termini of the BDV v- and cRNA without compromising the genetic information of the virus.
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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 | 0.001 |
| 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".