Two forms of RNA editing are required for tRNA maturation in <i>Physarum</i> mitochondria
Bibliographic record
Abstract
The mitochondrial genome of Physarum polycephalum encodes five tRNAs, four of which are edited by nucleotide insertion. Two of these tRNAs, tRNA(met1) and tRNA(met2), contain predicted mismatches at the beginning (proximal end) of the acceptor stem. In addition, the putative 5' end of tRNA(met2) overlaps the 3' end of a small, abundant, noncoding RNA, which we term ppoRNA. These anomalies led us to hypothesize that these two Physarum mitochondrial tRNAs undergo additional editing events. Here, we show that tRNA(met1) and tRNA(met2) each has a nonencoded G at its 5' end. In contrast to the other nucleotides that are added to Physarum mitochondrial RNAs, these extra G residues are likely added post-transcriptionally based on (1) the absence of added G in precursor transcripts containing inserted C and AA residues, (2) the presence of potential intermediates characteristic of 5' replacement editing, and (3) preferential incorporation of GTP into tRNA molecules under conditions that do not support transcription. This is the first report of both post-transcriptional nucleotide insertions and the addition of single Gs in P. polycephalum mitochondrial transcripts. We postulate that tRNA(met1) and tRNA(met2) are acted upon by an activity similar to that present in the mitochondria of certain other amoebozoons and chytrid fungi, suggesting that enzymes that repair the 5' end of tRNAs may be widespread.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".