The RNA catabolic enzymes Rex4p, Rnt1p, and Dbr1p show genetic interaction with <i>trans</i>-acting factors involved in processing of ITS1 in <i>Saccharomyces cerevisiae</i> pre-rRNA
Bibliographic record
Abstract
Eukaryotes have two types of ribosomes containing either 5.8SL or 5.8SS rRNA that are produced by alternative pre-rRNA processing. The exact processing pathway for the minor 5.8SL rRNA species is poorly documented. We have previously shown that the trans-acting factor Rrp5p and the RNA exonuclease Rex4p genetically interact to influence the ratio between the two forms of 5.8S rRNA in the yeast Saccharomyces cerevisiae. Here we report a further analysis of ITS1 processing in various yeast mutants that reveals genetic interactions between, on the one hand, Rrp5p and RNase MRP, the endonuclease required for 5.8SS rRNA synthesis, and, on the other, Rex4p, the RNase III homolog Rnt1p, and the debranching enzyme Dbr1p. Yeast cells carrying a temperature-sensitive mutation in RNase MRP (rrp2-1) exhibit a pre-rRNA processing phenotype very similar to that of the previously studied rrp5-33 mutant: ITS2 processing precedes ITS1 processing, 5.8SL rRNA becomes the major species, and ITS1 is processed at the recently reported novel site A4 located midway between sites A2 and A3. As in the rrp5-Delta3 mutant, all of these phenotypical processing features disappear upon inactivation of the REX4 gene. Moreover, inactivation of the DBR1 gene in rrp2-1, or the RNT1 gene in rrp5-Delta3 mutant cells also negates the effects of the original mutation on pre-rRNA processing. These data link a total of three RNA catabolic enzymes, Rex4p, Rnt1p, and Dbr1p, to ITS1 processing and the relative production of 5.8SS and 5.8SL rRNA. A possible model for the indirect involvement of the three enzymes in yeast pre-rRNA processing is discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".