A system for the targeted amplification of bacterial gene clusters multiplies antibiotic yield in <i>Streptomyces coelicolor</i>
Bibliographic record
Abstract
Gene clusters found in bacterial species classified as Streptomyces encode the majority of known antibiotics as well as many pharmaceutically active compounds. A site-specific recombination system similar to those that mediate plasmid conjugation was engineered to catalyze tandem amplification of one of these gene clusters in a heterologous Streptomyces species. Three genetic elements were known to be required for DNA amplification in S. kanamyceticus: the oriT-like recombination sites RsA and RsB, and ZouA, a site-specific relaxase similar to TraA proteins that catalyze plasmid transfer. We inserted RsA and RsB sequences into the S. coelicolor genome flanking a cluster of 22 genes (act) responsible for biosynthesis of the polyketide antibiotic actinorhodin. Recombination between RsA and RsB generated zouA-dependent DNA amplification resulting in 4-12 tandem copies of the act gene cluster averaging nine repeats per genome. This resulted in a 20-fold increase in actinorhodin production compared with the parental strain. To determine whether the recombination event required taxon-specific genetic effectors or generalized bacterial recombination (recA), it was also analyzed in the heterologous host Escherichia coli. zouA was expressed under the control of an inducible promoter in wild-type and recA mutant strains. A plasmid was constructed with recombination sites RsA and RsB bordering a drug resistance marker. Induction of zouA expression generated hybrid RsB/RsA sites, evidence of site-specific recombination that occurred independently of recA. ZouA-mediated DNA amplification promises to be a valuable tool for increasing the activities of commercially important biosynthetic, degradative, and photosynthetic pathways in a wide variety of organisms.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".