The tRNA dihydrouridine synthase DusA has a distinct mechanism in optimizing tRNAs for translation
Bibliographic record
Abstract
Dihydrouridine (D) is one of the most highly conserved RNA modifications across all domains of life. D20 within the tRNA D loop is particularly conserved and is formed by DusA in Escherichia coli. However, the mechanisms and cellular functions of DusA and D20 remain poorly understood. Here, we characterize DusA's role in tRNA binding, cofactor oxidation, and modification activity, along with its impact on tRNA maturation and translation. We find that DusA binds tRNA via a two-step mechanism involving a local structural rearrangement and exhibits a higher affinity for previously modified tRNA compared to unmodified tRNA. Unlike the T arm modifying enzymes TrmA and TruB, DusA does not broadly increase cellular aminoacylation for all tRNAs but enhances the charging of specific tRNA species. Despite limited alterations in overall tRNA charging and abundance in cells lacking DusA, DusA selectively improves translation at several specific codons, potentially indicating a direct contribution for dihydrouridine to the function of certain tRNAs on the ribosome. In conclusion, our findings suggest DusA acts nonredundantly with and complementary to TrmA and TruB in fine-tuning protein synthesis.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".