Identification of RpoS Regulated Genes and their Functions in Escherichia Coli
Bibliographic record
Abstract
E. coli expresses an alternative sigma factor, RpoS, in response to starvation and environmental stresses. RpoS is a global regulator and it controls numerous genes, which aids in counteracting these stresses. The RpoS regulon is large but is not completely characterized. We have previously identified over one hundred RpoS-dependent fusions in a genetic screen based on the differential expression of an operon-lacZ fusion bank in rpoS mutant and wild type backgrounds. Forty-eight independent gene fusions were identified including several in well-characterized RpoS-regulated genes such as osmY, katE and otsA. Many of the fusions mapped to genes of unknown function or to genes that were not previously known to be under RpoS control. Based on the homology to other known bacterial genes, some of the RpoS regulated genes with unknown functions may be important for nutrient scavenging. To gain a better insight into the functions of these poorly characterized genes, we tested the ability of the fusion mutants to utilize various carbon sources and to utilize individual amino acids as carbon and nitrogen sources. The results indicate that most of the strains in rpos-backgrounds exhibited better growth in succinate and fumarate and in several amino acids than did the corresponding strains in wild-type backgrounds.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".