A gene located downstream of the clavulanic acid gene cluster in Streptomyces clavuligerus ATCC 27064 encodes a putative response regulator that affects clavulanic acid production
Bibliographic record
Abstract
Three open reading frames denoted as orf21, orf22, and orf23 were identified from downstream of the currently recognized gene cluster for clavulanic acid biosynthesis in Streptomyces clavuligerus ATCC 27064. The new orfs were annotated after in silico analysis as genes encoding a putative sigma factor, a sensor kinase, and a response regulator. The roles of the individual genes were explored by disruption of the corresponding orfs, and the morphological and antibiotic production phenotypes of the resulting mutants were compared. In orf21 and orf22 mutants, no growth or morphological differences were noted, but modest reduction of cephamycin C (orf21), or both cephamycin C and clavulanic acid production (orf22) compared with wild-type, were observed. In orf23 mutant, cell growth and sporulation was retarded, and clavulanic acid and cephamycin C production were reduced to 40 and 47% of wild-type levels, respectively. Conversely, overexpression of orf23 caused precocious hyperproduction of spores on solid medium, and antibiotic production was increased above the levels seen in plasmid control cultures. Transcriptional analyses were also carried out on orf23 and showed that mutation had little effect on transcription of genes associated with the early stages of cephamycin C or clavulanic acid production but transcription of claR, which regulates the late stages of clavulanic acid production, was reduced in orf23 mutants. These observations suggest that the orf23 product may enable S. clavuligerus to respond to environmental changes by altering cell growth and differentiation. In addition, the effects of ORF23 on growth might indirectly regulate the biosynthesis of secondary metabolites such as clavulanic acid and cephamycin C.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".