Characterization of tRNA splicing enzymes RNA ligase and tRNA 2′-phosphotransferase from the pathogenic fungi Mucorales
Bibliographic record
Abstract
Fungal Trl1 is an essential trifunctional tRNA splicing enzyme that heals and seals tRNA exons with 2′,3′-cyclic-PO4and 5′-OH ends. Trl1 is composed of C-terminal cyclic phosphodiesterase and central polynucleotide kinase end-healing domains that generate the 3′-OH,2′-PO4and 5′-PO4termini required for sealing by an N-terminal ATP-dependent ligase domain. Trl1 enzymes are present in many human fungal pathogens and are promising targets for antifungal drug discovery because their domain structures and biochemical mechanisms are unique compared to the mammalian RtcB-type tRNA splicing enzyme. Here we report that Mucorales species (deemed high-priority human pathogens by WHO) elaborate a noncanonical tRNA splicing apparatus in which a monofunctional RNA ligase enzyme is encoded separately from any end-healing enzymes. We show thatMucor circinelloidesRNA ligase (MciRNL) is active in tRNA splicing in vivo in budding yeast in lieu of the Trl1 ligase domain. Biochemical and kinetic characterization of recombinant MciRNL underscores its requirement for a 2′-PO4terminus in the end-joining reaction, whereby the 2′-PO4enhances the rates of RNA 5′-adenylylation (step 2) and phosphodiester synthesis (step 3) by ∼125-fold and ∼6200-fold, respectively. In the canonical fungal tRNA splicing pathway, the splice junction 2′-PO4installed by RNA ligase is removed by a dedicated NAD+-dependent RNA 2′-phosphotransferase Tpt1. Here we identify and affirm by genetic complementation in yeast the biological activity of Tpt1 orthologs from three Mucorales species. RecombinantM. circinelloidesTpt1 has vigorous NAD+-dependent RNA 2′-phosphotransferase activity in vitro.
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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) | 0.000 | 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 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".