A novel rearrangement in the mitochondrial genome of tongue sole,<i>Cynoglossus semilaevis</i>: control region translocation and a tRNA gene inversion
Bibliographic record
Abstract
The organization of fish mitochondrial genomes (mitogenomes) is quite conserved, usually with the heavy strand encoding 12 of 13 protein-coding genes and 14 of 22 tRNA genes, and the light strand encoding ND6 and the remaining 8 tRNA genes. Currently, there are only a few reports on gene reorganization of fish mitogenomes, with only two types of rearrangements (shuffling and translocation) observed. No gene inversion has been detected in approximately 420 complete fish mitogenomes available so far. Here we report a novel rearrangement in the mitogenome of Cynoglossus semilaevis (Cynoglossinae, Cynoglossidae, Pleuronectiformes). The genome is 16,371 bp in length and contains 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes, and 2 main noncoding regions, the putative control region and the light-strand replication origin. A striking finding of this study is that the tRNA(Gln) gene is translocated from the light to the heavy strand (Q inversion). This is accompanied by shuffling of the tRNA(Ile) gene and long-range translocation of the putative control region downstream to a site between ND1 and the tRNA(Gln) gene. The remaining gene order is identical to that of typical fish mitogenomes. Additionally, unique characters of this mitogenome, including a high A+T content and length variations of 8 protein-coding genes, were found through comparison of the mitogenome sequence with those from other flatfishes. All the features detected and their relationships with the rearrangements, as well as a possible rearrangement pathway, are discussed. These data provide interesting information for better understanding the molecular mechanisms of gene reorganization in fish mitogenomes.
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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".