The intron landscape of the mtDNA <i>cytb</i> gene among the Ascomycota: introns and intron-encoded open reading frames
Bibliographic record
Abstract
Fungal mitochondrial genes are frequently noted for the presence of introns. These introns are self-splicing and can be assigned to either group I or II introns and they can encode open reading frames (ORFs). This study examines the introns present within the cytochrome b (cytb) gene of ascomycetes fungi. Cytochrome b gene sequences were sampled from GenBank and supplemented with our own data for species of Leptographium and Ophiostoma. Group I introns were encountered most frequently, many encoding either LAGLIDADG or GIY-YIG homing endonucleases (HEs). Numerous examples of different intron/ORF arrangements were observed including nested ORFs, multiple ORFs within a single intron and intron ORFs at various stages of erosion due to the accumulation of mutations. In addition, we noted one example of a nested intron and one complex group II intron that could potentially allow for alternative splicing. Documenting the distribution of introns within the same gene across a range of species allows for a better understanding of the evolution of introns and intronic ORFs. Intron landscapes also are a resource that can help in annotating genes and in bioprospecting for potentially active HEs, which are rare-cutting DNA endonucleases with applications in biotechnology.
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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 | 0.001 | 0.001 |
| 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".