Genetic tools for highly pathogenic Francisella tularensis subsp. tularensis
Bibliographic record
Abstract
This paper is the first detailed description of the development and use of new genetic tools specifically for the safe manipulation of highly pathogenic Francisella tularensis subsp. tularensis. Most of these tools are also demonstrated to work with other F. tularensis subspecies. Kanamycin and hygromycin resistance determinants that function as genetic markers in F. tularensis subsp. tularensis strain Schu and sets of episomal shuttle vectors that are either unstable or stably maintained in the absence of selection were developed. In addition, the hyg gene, expressed from the F. tularensis groESL promoter, was successfully used as a marker for transposon mutagenesis. This work also includes the development of sacB-based suicide plasmids expressing kanamycin resistance that can be used for electroporation-mediated allelic exchange of unmarked mutations in Schu and the F. tularensis live vaccine strain (LVS). Using these plasmids, the two predicted beta-lactamase genes, blaA and blaB, in Schu and LVS were deleted. Only the Delta blaB1 mutants had increased susceptibility to ampicillin, and this phenotype was complemented by a plasmid expressing blaB+. The results suggest that the beta-lactam antibiotic resistance phenotype of Schu and LVS is likely due to only one of the two beta-lactamase genes present and that ampicillin resistance can be used as an additional selectable marker in beta-lactamase deletion mutants. The collection of tools presented in this report will be helpful for the genetic analyses of F. tularensis subsp. tularensis pathogenesis.
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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 | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".