A cell-free transcription-translation pipeline for recreating methylation patterns boosts DNA transformation in bacteria

Justin M. Vento,Deniz Durmusoglu, Tianyu Li, Sean Sullivan,Fani Ttofali, John van Schaik, Yanying Yu,Lars Barquist,Nathan Crook,Chase L. Beisel

bioRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
The bacterial world offers diverse strains for understanding medical and environmental processes and for engineering synthetic-biology chasses. However, genetically manipulating these strains has faced a long-standing bottleneck: how to efficiently transform DNA. Here we report IMPRINT, a generalized, rapid and scalable approach based on cell-free transcription-translation (TXTL) systems to overcome DNA restriction, a prominent barrier to transformation. IMPRINT utilizes TXTL to express DNA methyltransferases from the bacterial host’s restriction-modification systems. The expressed methyltransferases then methylate DNA in vitro to match the host DNA’s methylation pattern, circumventing restriction and enhancing transformation. With IMPRINT, we efficiently multiplex methylation by diverse DNA methyltransferases and enhance plasmid transformation in gram-negative and gram-positive bacteria. We also developed a high-throughput pipeline that identifies the most consequential methyltransferases, and we apply IMPRINT to facilitate a library screen for translational rules in a hard-to-transform Bifidobacterium. Overall, IMPRINT can enhance DNA transformation, enabling use of increasingly sophisticated genetic manipulation tools across the bacterial world. ### Competing Interest Statement J.M.V. and C.L.B. have filed a provisional patent application related to this work. C.L.B. is a co-founder of Leopard Biosciences, a co-founder and Scientific Advisory Board member of Locus Biosciences, and a Scientific Advisory Board member of Benson Hill. The other authors declare no competing interests. The NGS data from HT-IMPRINT is available through NCBI GEO GSE189864, with an access token for peer review of ufiligswxpwtbwb. The NGS data from the RBS library experiment is available through NCBI GEO GSE240651, with an access token for peer review of qfkdqwcornyltyv.
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关键词
dna transformation,methylation patterns,cell-free,transcription-translation
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