A second eukaryotic group with mitochondrion-encoded tmRNA
Bibliographic record
Abstract
In bacteria, stalled ribosomes are rescued by transfer-mRNA (tmRNA) that catalyzes two steps. First, a non-encoded alanine is added to the incomplete polypeptide chain by the tRNA (Ala) -like portion of tmRNA, and second, the ribosome switches to the mRNA-like domain of tmRNA, thus resuming protein synthesis. Mitochondrial DNA (mtDNA)-encoded mt-tmRNA is so far only known from jakobid protists, but we posit that the corresponding ssrA gene may also reside in other mtDNAs. Here we present a highly sensitive covariance model built from jakobid ssrA genes that identifies previously unrecognized ssrA homologs in mtDNAs of oomycetes. These genes, located in previously unassigned genomic regions, are circular permuted as in α-Protobacteria, implying that pre-tmRNA is processed and the two pieces are held together by non-covalent interactions. RNA-Seq data from Phytophthora sojae confirm predicted processing sites as well as post-transcriptional addition of 3' CCA, a prerequisite for tmRNAs to be charged with alanine by alanyl-tRNA synthetase. Structure modeling of oomycete tmRNAs infers that the mRNA-like domain is lacking as in jakobids. Features of mitochondrial tmRNAs include the G-U pair at position three of the acceptor stem, a hallmark of bacterial tmRNAs, and a T-loop sequence that differs from that of standard tRNAs and most bacterial tmRNAs, forming alternative, virtually isosteric tertiary interactions with the D-loop. The anticodon stem has two additional G-A base pairs formed between the D-loop and the variable region, shortening the length of the variable region to a single nucleotide.
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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".