Efficient genome editing in pathogenic mycobacteria using Streptococcus thermophilus CRISPR1-Cas9
Bibliographic record
Abstract
The ability to genetically engineer pathogenic mycobacteria has increased significantly over the last decades due to the generation of new molecular tools. Recently, the application of the Streptococcus pyogenes and the Streptococcus thermophilus CRISPR-Cas9 systems in mycobacteria has enabled gene editing and efficient CRISPR interference-mediated transcriptional regulation. Here, we converted CRISPR interference into an efficient genome editing tool for mycobacteria. We demonstrate that the Streptococcus thermophilus CRISPR1-Cas9 (Sth1Cas9) is functional in Mycobacterium marinum and Mycobacterium tuberculosis, enabling highly efficient and precise DNA breaks and indel formation, without any off-target effects. In addition, with dual sgRNAs this system can be used to generate two indels simultaneously or to create specific deletions. The ability to use the power of the CRISPR-Cas9-mediated gene editing toolbox in M. tuberculosis with a single step will accelerate research into this deadly pathogen.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".