A diaminopimelic acid auxotrophic <i>Escherichia coli</i> donor provides improved counterselection following intergeneric conjugation with actinomycetes
Bibliographic record
Abstract
Considering the medical, biotechnological, and economical importance of actinobacteria, there is a continuous need to improve the tools for genetic engineering of a broad range of these microorganisms. Intergeneric conjugation has proven to be a valuable yet imperfect tool for this purpose. The natural resistance of many actinomycetes to nalidixic acid (Nal) is generally exploited to eliminate the sensitive Escherichia coli donor strain following conjugation. Nevertheless, Nal can delay growth and have other unexpected effects on the recipient strain. To provide an improved alternative to antibiotics, we propose a postconjugational counterselection using a diaminopimelic acid (DAP) auxotrophic donor strain. The DAP-negative phenotype was obtained by introducing a dapA deletion into the popular methylase-negative donor strain E. coli ET12567/pUZ8002. The viability of ET12567 and its ΔdapA mutant exposed to DAP deprivation or Nal selection were compared in liquid pure culture and after mating with Streptomyces coelicolor. Results showed that death of the E. coli ΔdapA Nal-sensitive donor strain occurred more efficiently when subjected to DAP deprivation than when exposed to Nal. Our study shows that postconjugational counterselection based on DAP deprivation circumvents the use of antibiotics and will facilitate the transfer of plasmids into actinomycetes with high biotechnological potential, yet currently not accessible to conjugative techniques.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".