The β‐subunits of the Snf1 kinase in <i>Saccharomyces cerevisiae</i>, Gal83 and Sip2, but not Sip1, are redundant in glucose derepression and regulation of sterol biosynthesis
Bibliographic record
Abstract
The conserved Snf1/AMP-activated protein kinase family is one of the central components in the nutrient sensing and regulation of the carbon metabolism in eukaryotes. It is also involved in several other processes such as stress resistance, invasive growth and ageing. Snf1 kinase is composed of a catalytic alpha-subunit Snf1, a regulatory gamma-subunit Snf4 and one of three possible beta-subunits, Sip1, Sip2 or Gal83. We used a systematic approach to study the role of the three beta-subunits by analysing all seven possible combinations of beta-subunit deletions together with the reference strain. Previous studies showed that the three beta-subunits are redundant for growth on alternative carbon sources. Here we report that the mutant strain with only SIP1 expressed (sip2Delta gal83Delta) could utilize acetate, but neither ethanol nor glycerol, as alternative carbon source. We also showed that Gal83 is the most important isoform not only for the growth on non-fermentable carbon sources, but also for regulation of ergosterol biosynthetic genes, under glucose-limited condition. Furthermore, we found that Sip2, but not Sip1, can take over when Gal83 is deleted, but to a lesser extent. However, Sip1 may be sufficient for some other processes such as regulation of the nitrogen metabolism and meiosis.
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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 | 0.000 |
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".