<i>Trans</i>-splicing versatility of the Ll.LtrB group II intron
Bibliographic record
Abstract
Group II introns are found in organelles, bacteria, and archaea. Some harbor an open reading frame (ORF) with reverse transcriptase, maturase, and occasionally endonuclease activities. Group II introns require the assistance of either intron-encoded or free-standing maturases to excise from primary RNA transcripts in vivo. Some ORF-containing group II introns were shown to be mobile retroelements that invade new DNA sites by retrohoming or retrotransposition. Group II introns are also hypothesized to be the ancestors of the spliceosome-dependent nuclear introns and the small nuclear RNAs (snRNAs--U1, U2, U4, U5, and U6) that are part of the spliceosome. The ability of some fragmented group II introns to undergo splicing in trans supports the theory that the snRNAs evolved from portions of group II introns. Here, we developed a Tn5-based genetic screen to explore the trans-splicing potential of the Ll.LtrB group II intron from the Gram-positive bacterium Lactococcus lactis. Proficient trans-splicing variants of Ll.LtrB were selected using a highly sensitive trans-splicing/conjugation screen. We report that numerous fragmentation sites located throughout Ll.LtrB support splicing in trans, showing that this intron is remarkably more tolerant to fragmentation than expected from the fragmentation sites uncovered within natural trans-splicing group II introns. This work unveils the great versatility of group II intron fragments to assemble and accurately trans-splice their flanking exons in vivo.
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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".