An efficient system for markerless gene replacement applicable in a wide variety of enterobacterial species
Bibliographic record
Abstract
We describe an improved allelic-exchange method for generating unmarked mutations and chromosomal DNA alterations in enterobacterial species. Initially developed for use in Salmonella enterica, we have refined the method in terms of time, simplicity, and efficiency. We have extended its use into related bacterial species that are more recalcitrant to genetic manipulations, including enterohemorrhagic and enteropathogenic Escherichia coli and Vibrio parahaemolyticus. Data from over 50 experiments are presented including gene inactivations, site-directed mutagenesis, and promoter exchanges. In each case, desired mutations were identified by polymerase chain reaction screening typically from as few as 10-20 colonies up to a maximum of 300 colonies. The method does not require antibiotic nor nutritional markers in target genes and works efficiently in wild-type strains, obviating the need for specialized hosts or genetic systems. The use is simple, requiring basic laboratory materials, and represents an alternative to existing methods for gene manipulation in the Enterobacteriaceae.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".