Diversity and Evolution of Mitochondrial RNA Editing Systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
'RNA editing' describes the programmed alteration of the nucleotide sequence of an RNA species, relative to the sequence of the encoding DNA. The phenomenon encompasses two generic patterns of nucleotide change, 'insertion/deletion' and 'substitution', defined on the basis of whether the sequence of the edited RNA is colinear with the DNA sequence that encodes it. RNA editing is mediated by a variety of pathways that are mechanistically and evolutionarily unrelated. Messenger, ribosomal, transfer and viral RNAs all undergo editing in different systems, but well-documented cases of this phenomenon have so far been described only in eukaryotes, and most often in mitochondria. Editing of mRNA changes the identity of encoded amino acids and may create translation initiation and termination codons. The existence of RNA editing violates one of the long-accepted tenets of genetic information flow, namely, that the amino acid sequence of a protein can be directly predicted from the corresponding gene sequence. Particular RNA editing systems display a narrow phylogenetic distribution, which argues that such systems are derived within specific eukaryotic lineages, rather than representing traits that ultimately trace to a common ancestor of eukaryotes, or even further back in evolution. The derived nature of RNA editing raises intriguing questions about how and why RNA editing systems arise, and how they become fixed as additional, essential steps in genetic information transfer.
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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 it