Analysis of intergenic spacer transcripts suggests 'read-around' transcription of the extrachromosomal circular rDNA in Euglena gracilis
Bibliographic record
Abstract
We report here the sequence of the 1743 bp intergenic spacer (IGS) that separates the 3'-end of the large subunit ribosomal RNA (rRNA) gene from the 5'-end of the small subunit (SSU) rRNA gene in the circular, extrachromosomal ribosomal DNA (rDNA) of Euglena gracilis. The IGS contains a 277 nt stretch of sequence that is related to a sequence found in ITS 1, an internal transcribed spacer between the SSU and 5.8S rRNA genes. Primer extension analysis of IGS transcripts identified three abundant reverse transcriptase stops that may be analogous to the transcription initiation site (TIS) and two processing sites (A' and A0) that are found in this region in other eukaryotes. Features that could influence processing at these sites include an imperfect palindrome near site A0 and a sequence near site A' that could potentially base pair with U3 small nucleolar RNA. Our identification of the TIS (verified by mung bean nuclease analysis) is considered tentative because we also detected low-abundance transcripts upstream of this site throughout the entire IGS. This result suggests the possibility of 'read-around' transcription, i.e. transcription that proceeds multiple times around the rDNA circle without termination.
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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 | 0.000 |
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".