Rsp5, a Ubiquitin-Protein Ligase, Is Involved in Degradation of the Single-Stranded-DNA Binding Protein Rfa1 in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
In Saccharomyces cerevisiae, RAD1 and RAD52 are required for alternate pathways of mitotic recombination. Double-mutant strains exhibit a synergistic interaction that decreases direct repeat recombination rates dramatically. A mutation in RFA1, the largest subunit of a single-stranded DNA-binding protein complex (RP-A), suppresses the recombination deficiency of rad1 rad52 strains (J. Smith and R. Rothstein, Mol. Cell. Biol. 15:1632-1641, 1995). Previously, we hypothesized that this mutation, rfa1-D228Y, causes an increase in recombinogenic lesions as well as the activation of a RAD52-independent recombination pathway. To identify gene(s) acting in this pathway, temperature-sensitive (ts) mutations were screened for those that decrease recombination levels in a rad1 rad52 rfa1-D228Y strain. Three mutants were isolated. Each segregates as a single recessive gene. Two are allelic to RSP5, which encodes an essential ubiquitin-protein ligase. One allele, rsp5-25, contains two mutations within its open reading frame. The first mutation does not alter the amino acid sequence of Rsp5, but it decreases the amount of full-length protein in vivo. The second mutation results in the substitution of a tryptophan with a leucine residue in the ubiquitination domain. In rsp5-25 mutants, the UV sensitivity of rfa1-D228Y is suppressed to the same level as in strains overexpressing Rfa1-D228Y. Measurement of the relative rate of protein turnover demonstrated that the half-life of Rfa1-D228Y in rsp5-25 mutants was extended to 65 min compared to a 35-min half-life in wild-type strains. We propose that Rsp5 is involved in the degradation of Rfa1 linking ubiquitination with the replication-recombination machinery.
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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) | 0.001 | 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 | 0.001 |
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".