CRISPR-Cas9-mediated IncF plasmid curing in extraintestinal pathogenic <i>Escherichia coli</i>
Bibliographic record
Abstract
ABSTRACT IncF plasmids are commonly found in extra-intestinal pathogenic Escherichia coli (ExPEC) strains, serving as reservoirs for antimicrobial resistance (AMR) genes and virulence factors, persistently coexisting with ExPEC lineages. Multidrug-resistant (MDR) high-risk ExPEC clones, particularly ST131, ST1193, and ST410, have acquired diverse IncF plasmids over time, containing various AMR determinants, contributing significantly to their global success. However, the broader roles of these IncF plasmids in the success of MDR ExPEC clones, beyond AMR, remain elusive. In this study, we employed a novel clustered regularly interspaced short palindromic repeats–CRISPR-associated protein-9 nuclease (CRISPR-Cas9)-mediated pCasCure plasmid-curing system to precisely remove specific IncF plasmids among ExPEC clones (ST1193, ST131, and ST410). Antibiotic-resistant parent strains reverted to antibiotic-susceptible states post-curing; however, IncF plasmid curing did not show significant impact on bacterial in vitro growth and had little impact on other in vitro phenotypes, including survival in water, dry environment and biofilm production. In addition, IncF plasmid curing did not affect the conjugation frequency of KPC-producing pKpQIL plasmid. This study represents a pivotal initial step in understanding the precise roles of IncF plasmids in the success of ExPEC. Future research will be crucial in investigating their influence on cell invasion and in vivo fitness, thereby providing a more comprehensive perspective on the functions of IncF plasmids in MDR ExPEC clones. IMPORTANCE Understanding the role of IncF plasmids in the success of drug-resistant bacteria has far-reaching implications for tackling antibiotic resistance. The study's use of a novel CRISPR-Cas9-mediated plasmid-curing system provides a precision tool for dissecting the specific impact of IncF plasmids on ExPEC clones, especially high-risk, multidrug-resistant strains like ST131, ST1193, and ST410. The study offers a crucial stepping stone for future research into understanding how these plasmids influence more complex aspects of bacterial behavior, such as cell invasion and in vivo fitness.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".