Effectiveness of CRISPR-Cas in sensitizing bacterial populations with plasmid-encoded antimicrobial resistance

The spread of bacteria resistant to antibiotics poses a serious threat to human health. Genes that encode antibiotic resistance are often harbored on plasmids, extra-chromosomal DNA molecules found in bacteria. The emergence of multiresistance plasmids is particularly problematic and demands the development of new antibiotics and alternative strategies. CRISPR-Cas derived tools with their sequence specificity offer a promising new approach to combating antibiotic resistance. By introducing CRISPR-Cas encoding plasmids that target antibiotic resistance genes on plasmids, the susceptibility of bacteria to conventional antibiotics can be restored. However, genetic variation within bacterial populations can hinder the effectiveness of such CRISPR-Cas tools by allowing some mutant plasmids to evade CRISPR-mediated cleaving or gene silencing. In this study, we develop a model to test the effectiveness of CRISPR-Cas in sensitizing bacterial populations carrying resistance on nontransmissible plasmids and assess the success probability of a subsequent treatment with conventional antibiotics. We evaluate this probability according to the target interference mechanism, the copy number of the resistance-encoding plasmid, and its compatibility with the CRISPR-Cas encoding plasmid. Our results identify promising approaches to revert antibiotic resistance with CRISPR-Cas encoding plasmids: A DNA-cleaving CRISPR-Cas system on a plasmid incompatible with the targeted plasmid is most effective for low copy numbers, while for resistance plasmids with higher copy numbers gene silencing by CRISPR-Cas systems encoded on compatible plasmids is the superior solution.

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Publication Details

Journal
Genetics
Published
2025-09-23
DOI
https://doi.org/10.1093/genetics/iyaf192
Citations
3
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
2.42
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article

Effectiveness of CRISPR-Cas in sensitizing bacterial populations with plasmid-encoded antimicrobial resistance

Hildegard Uecker, Fabienne Benz, Franz Baumdicker, Johannes Kippnich
3 citations
Genetics
CRISPR and Genetic Engineering
2.42
article

Effectiveness of CRISPR-Cas in sensitizing bacterial populations with plasmid-encoded antimicrobial resistance

Hildegard Uecker, Fabienne Benz, Franz Baumdicker, Johannes Kippnich
article en
3 citations

Abstract

The spread of bacteria resistant to antibiotics poses a serious threat to human health. Genes that encode antibiotic resistance are often harbored on plasmids, extra-chromosomal DNA molecules found in bacteria. The emergence of multiresistance plasmids is particularly problematic and demands the development of new antibiotics and alternative strategies. CRISPR-Cas derived tools with their sequence specificity offer a promising new approach to combating antibiotic resistance. By introducing CRISPR-Cas encoding plasmids that target antibiotic resistance genes on plasmids, the susceptibility of bacteria to conventional antibiotics can be restored. However, genetic variation within bacterial populations can hinder the effectiveness of such CRISPR-Cas tools by allowing some mutant plasmids to evade CRISPR-mediated cleaving or gene silencing. In this study, we develop a model to test the effectiveness of CRISPR-Cas in sensitizing bacterial populations carrying resistance on nontransmissible plasmids and assess the success probability of a subsequent treatment with conventional antibiotics. We evaluate this probability according to the target interference mechanism, the copy number of the resistance-encoding plasmid, and its compatibility with the CRISPR-Cas encoding plasmid. Our results identify promising approaches to revert antibiotic resistance with CRISPR-Cas encoding plasmids: A DNA-cleaving CRISPR-Cas system on a plasmid incompatible with the targeted plasmid is most effective for low copy numbers, while for resistance plasmids with higher copy numbers gene silencing by CRISPR-Cas systems encoded on compatible plasmids is the superior solution.

GeneticsVol. 231(3)
Centre National de la Recherche Scientifique (FR), Institut Pasteur (FR), Université Paris Cité (FR), Evolutionary Genomics (United States) (US), Max Planck Institute for Evolutionary Biology (DE), University of Tübingen (DE)
Openalex Percentile: Top 10%
CRISPR and Genetic Engineering
2.42
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