Transfer RNA gene arrangement and codon usage in vertebrate mitochondrial genomes: a new insight into gene order conservation
Bibliographic record
Abstract
BACKGROUND: Mitochondrial (mt) gene arrangement has been highly conserved among vertebrates from jawless fishes to mammals for more than 500 million years. It remains unclear, however, whether such long-term persistence is a consequence of some constraints on the gene order. RESULTS: Based on the analysis of codon usage and tRNA gene positions, we suggest that tRNA gene order of the typical vertebrate mt-genomes may be important for their translational efficiency. The vertebrate mt-genome encodes 2 rRNA, 22 tRNA, and 13 transmembrane proteins consisting mainly of hydrophobic domains. We found that the tRNA genes specifying the hydrophobic residues were positioned close to the control region (CR), where the transcription efficiency is estimated to be relatively high. Using 47 vertebrate mt-genome sequences representing jawless fishes to mammals, we further found a correlation between codon usage and tRNA gene positions, implying that highly-used tRNA genes are located close to the CR. In addition, an analysis considering the asymmetric nature of mtDNA replication suggested that the tRNA loci that remain in single-strand for a longer time tend to have more guanine and thymine not suffering deamination mutations in their anticodon sites. CONCLUSIONS: Our analyses imply the existence of translational constraint acting on the vertebrate mt-gene arrangement. Such translational constraint, together with the deamination-related constraint, may have contributed to long-term maintenance of gene order.
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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".