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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, View ORCID ProfileLars Barquist, Nathan Crook, View ORCID ProfileChase L. Beisel
doi: https://doi.org/10.1101/2023.09.16.557782
Justin M. Vento
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Deniz Durmusoglu
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Tianyu Li
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Sean Sullivan
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Fani Ttofali
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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John van Schaik
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Yanying Yu
2Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Center for Infection Research (HZI), 97080 Würzburg, Germany
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Lars Barquist
2Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Center for Infection Research (HZI), 97080 Würzburg, Germany
3Medical Faculty University of Würzburg, 97080 Würzburg, Germany
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  • ORCID record for Lars Barquist
Nathan Crook
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
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Chase L. Beisel
1Department of Chemical and Biomolecular Engineering North Carolina State University, Raleigh, NC 27695, USA
2Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Center for Infection Research (HZI), 97080 Würzburg, Germany
3Medical Faculty University of Würzburg, 97080 Würzburg, Germany
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  • ORCID record for Chase L. Beisel
  • For correspondence: chase.beisel@helmholtz-hiri.de
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ABSTRACT

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.

Data Availability

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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted September 16, 2023.
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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 2023.09.16.557782; doi: https://doi.org/10.1101/2023.09.16.557782
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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 2023.09.16.557782; doi: https://doi.org/10.1101/2023.09.16.557782

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