Cell Chemical Biology
Volume 29, Issue 4, 21 April 2022, Pages 696-710.e4
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CRAGE-CRISPR facilitates rapid activation of secondary metabolite biosynthetic gene clusters in bacteria

https://doi.org/10.1016/j.chembiol.2021.08.009Get rights and content
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open access

Highlights

  • An expansion of the CRISPR toolbox by implementing it on CRAGE

  • Gene-to-compound approach in non-model bacteria to characterize BGC and regulator

  • CRAGE-CRISPRd/CRISPRa mediate loss- and gain-of-function studies of BGCs

  • Target sites for CRISPRa with varied gRNAs show variable levels of BGC activation

Summary

With the advent of genome sequencing and mining technologies, secondary metabolite biosynthetic gene clusters (BGCs) within bacterial genomes are becoming easier to predict. For subsequent BGC characterization, clustered regularly interspaced short palindromic repeats (CRISPR) has contributed to knocking out target genes and/or modulating their expression; however, CRISPR is limited to strains for which robust genetic tools are available. Here we present a strategy that combines CRISPR with chassis-independent recombinase-assisted genome engineering (CRAGE), which enables CRISPR systems in diverse bacteria. To demonstrate CRAGE-CRISPR, we select 10 polyketide/non-ribosomal peptide BGCs in Photorhabdus luminescens as models and create their deletion and activation mutants. Subsequent loss- and gain-of-function studies confirm 22 secondary metabolites associated with the BGCs, including a metabolite from a previously uncharacterized BGC. These results demonstrate that the CRAGE-CRISPR system is a simple yet powerful approach to rapidly perturb expression of defined BGCs and to profile genotype-phenotype relationships in bacteria.

Keywords

CRISPR-Cas9
CRAGE
secondary metabolites
BGC activation
multiple sgRNA sites
BGC deletion
BGC-to-compound characterization

Data and code availability

The raw LCMS data files generated in this study are available upon reasonable request to the lead contact. This study did not generate or analyze any computational datasets or code. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

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6

These authors contributed equally

7

Lead contact