
pmid: 28888103
Although CRISPR-Cas systems naturally evolved to provide adaptive immunity in bacteria and archaea, Cas nucleases can be co-opted to target chromosomal sequences rather than invasive genetic elements. Although genome editing is the primary outcome of self-targeting using CRISPR-based technologies in eukaryotes, self-targeting by CRISPR is typically lethal in bacteria. Here, we discuss how DNA damage introduced by Cas nucleases in bacteria can efficiently and specifically lead to plasmid curing or drive cell death. Specifically, we discuss how various CRISPR-Cas systems can be engineered and delivered using phages or phagemids as vectors. These principles establish CRISPR-Cas systems as potent and programmable antimicrobials, and open new avenues for the development of CRISPR-based tools for selective removal of bacterial pathogens and precise microbiome composition alteration.
DNA, Bacterial, Biological Products, Microbial Viability, Anti-Infective Agents, Transformation, Bacterial, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, CRISPR-Cas Systems, DNA Cleavage, Genetic Engineering, Plasmids
DNA, Bacterial, Biological Products, Microbial Viability, Anti-Infective Agents, Transformation, Bacterial, [SDV.MP.BAC] Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology, CRISPR-Cas Systems, DNA Cleavage, Genetic Engineering, Plasmids
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 122 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
