124 Evidence for Lateral Transfer of a IE Intron between Fungal and Red Algal Small Subunit Ribosomal RNA Genes
Bibliographic record
Abstract
In a recent study of the North American biogeography of the red algae genus Hildenbrandia, the presence of group I introns were noted in the nuclear SSU rRNA gene of the marine species H. rubra (Hildenbrandiales). Group I introns in the nuclear encoded rRNAs have been previously reported in the Hildenbrandiales as well as the Bangiales. All reported introns within the red algae have been identified as belonging to the IC1 subclass and occur at two insertion sites in the nuclear small subunit rRNA (516 and 1506). However, an unclassified intron was discovered at position 989 in the nuclear SSU rRNA gene of a collection of H. rubra from British Columbia, Canada. We have determined that the intron is a member of the IE subclass and this is the first report of an IE intron and an intron in position 989 in the red algae. Phylogenetic analyses of the intron sequences reveal a close relationship between this group IE intron and similar ascomycete and basidiomycete fungal IE introns in the nuclear SSU rRNA genes at positions 989 and 1199. In addition, a common unique helix (structural signature) in the P13 domain of the Hildenbrandia intron and those of the fungi at the 989 and 1199 IE positions in the nuclear SSU rRNA gene also indicates a close relationship. Hence, this study provides evidence for a possible lateral transfer of the IE intron in position 989 between fungal and red algal nuclear SSU rRNA genes.
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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".