Positive regulation of the MarR-type regulator slnO and improvement of salinomycin production by <i>Streptomyces albus</i> by multiple transcriptional regulation
Bibliographic record
Abstract
The purpose of this study was to explore the function of the MarR family regulator slnO. Additionally, a high-yield strain of salinomycin was constructed using combined regulation strategies. First, the slnO gene overexpression strain (GO) was constructed in Streptomyces albus. Compared to the wild-type (WT) strain, salinomycin production in the GO strain increased by approximately 28%. Electrophoretic mobility gel shift assays (EMSAs) confirmed that the SlnO protein can bind specifically to the intergenic regions of slnN-slnO, slnQ-slnA1, and slnF-slnT. qRT-PCR experiments also showed that slnA1, slnF, and slnT1 were significantly upregulated, whereas the expression level of the slnN gene was downregulated in the GO strain. Second, the slnN gene deletion strain (slnNDM) was used as the starting strain, and the pathway-specific gene slnR in the salinomycin gene cluster was overexpressed in slnNDM. This new strain was named ZJUS01. The yield of salinomycin in the ZJUS01 strain was 25% and 56% higher than those in the slnNDM and WT strains, respectively. The above results indicate that the slnO gene has a positive regulatory effect on the biosynthesis of salinomycin. Meanwhile, the yield of salinomycin can be greatly increased by manipulating multiple transcriptional regulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".