Rycroft JA, Giorgio RT, Sargen M, Helaine S. Tracking the progeny of bacterial persisters using a CRISPR-based genomic recorder.
Proc Natl Acad Sci U S A 2024;
121:e2405983121. [PMID:
39374386 PMCID:
PMC11494289 DOI:
10.1073/pnas.2405983121]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 08/11/2024] [Indexed: 10/09/2024] Open
Abstract
The rise of antimicrobial failure is a global emergency, and causes beyond typical genetic resistance must be determined. One probable factor is the existence of subpopulations of transiently growth-arrested bacteria, persisters, that endure antibiotic treatment despite genetic susceptibility to the drug. The presence of persisters in infected hosts has been successfully established, notably through the development of fluorescent reporters. It is proposed that infection relapse is caused by persisters resuming growth after cessation of the antibiotic treatment, but to date, there is no direct evidence for this. This is because no tool or reporter currently exists to track the extent to which infection relapse is initiated by regrowth of persisters in the host. Indeed, once they have transitioned out of the persister state, the progeny of persisters are genetically and phenotypically identical to susceptible bacteria in the population, making it virtually impossible to ascertain the source of relapse. We designed pSCRATCH (plasmid for Selective CRISPR Array expansion To Check Heritage), a molecular tool that functions to record the state of antibiotic persistence in the genome of Salmonella persisters. We show that pSCRATCH successfully marks persisters by adding spacers in their CRISPR arrays and the genomic label is stable in persister progeny after exit from persistence. We further show that in a Salmonella infection model the system enables the discrimination of treatment failure originating from persistence versus resistance. Thus, pSCRATCH provides proof of principle for stable marking of persisters and a prototype for applications to more complex infection models and other pathogens.
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