A highly precise and portable genome engineering method allows comparison of mutational effects across bacterial species

Edited by Roy Curtiss III, University of Florida, Gainesville, FL, and approved January 26, 2016 (received for review October 9, 2015)
February 16, 2016
113 (9) 2502-2507

Significance

Current tools for bacterial genome engineering suffer from major limitations. They have been optimized for a few laboratory model strains, lead to the accumulation of numerous undesired, off-target modifications, and demand extensive modification of the host genome prior to large-scale editing. Herein, we address these problems and present a simple, all-in-one solution. By utilizing a highly conserved mutant allele of the bacterial mismatch-repair system, we were able to gain unprecedented precision in the control over the generation of desired modifications in multiple bacterial species. These results have broad implications with regards to both biotechnological and clinical applications.

Abstract

Currently available tools for multiplex bacterial genome engineering are optimized for a few laboratory model strains, demand extensive prior modification of the host strain, and lead to the accumulation of numerous off-target modifications. Building on prior development of multiplex automated genome engineering (MAGE), our work addresses these problems in a single framework. Using a dominant-negative mutant protein of the methyl-directed mismatch repair (MMR) system, we achieved a transient suppression of DNA repair in Escherichia coli, which is necessary for efficient oligonucleotide integration. By integrating all necessary components into a broad-host vector, we developed a new workflow we term pORTMAGE. It allows efficient modification of multiple loci, without any observable off-target mutagenesis and prior modification of the host genome. Because of the conserved nature of the bacterial MMR system, pORTMAGE simultaneously allows genome editing and mutant library generation in other biotechnologically and clinically relevant bacterial species. Finally, we applied pORTMAGE to study a set of antibiotic resistance-conferring mutations in Salmonella enterica and E. coli. Despite over 100 million y of divergence between the two species, mutational effects remained generally conserved. In sum, a single transformation of a pORTMAGE plasmid allows bacterial species of interest to become an efficient host for genome engineering. These advances pave the way toward biotechnological and therapeutic applications. Finally, pORTMAGE allows systematic comparison of mutational effects and epistasis across a wide range of bacterial species.

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Acknowledgments

We thank Donald L. Court for providing the λ Red recombinase expression plasmids; Tamás Fehér for donating pZA31tetR and pZA31YFPtetR; and Andrea Tóth for her technical assistance. This work was supported by grants from the European Research Council (to C.P.), the Wellcome Trust (to C.P.), and the Lendület Program of the Hungarian Academy of Sciences (to C.P.); Hungarian Scientific Research Fund Grants OTKA PD 109572 (to B.C.) and OTKA PD 106231 (to K.U.); Hungarian Academy of Sciences Postdoctoral Fellowship Program Grant SZ-039/2013 (to B. Bogos); the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (I.N.); and a PhD fellowship from the Boehringer Ingelheim Fonds (to Á.N.).

Supporting Information

Supporting Information (PDF)
Supporting Information
pnas.1520040113.sd01.xlsx
pnas.1520040113.sd02.xlsx
pnas.1520040113.sd03.docx

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Information & Authors

Information

Published in

The cover image for PNAS Vol.113; No.9
Proceedings of the National Academy of Sciences
Vol. 113 | No. 9
March 1, 2016
PubMed: 26884157

Classifications

Submission history

Published online: February 16, 2016
Published in issue: March 1, 2016

Keywords

  1. genome engineering
  2. synthetic biology
  3. recombineering
  4. off-target effects
  5. methyl-directed mismatch repair

Acknowledgments

We thank Donald L. Court for providing the λ Red recombinase expression plasmids; Tamás Fehér for donating pZA31tetR and pZA31YFPtetR; and Andrea Tóth for her technical assistance. This work was supported by grants from the European Research Council (to C.P.), the Wellcome Trust (to C.P.), and the Lendület Program of the Hungarian Academy of Sciences (to C.P.); Hungarian Scientific Research Fund Grants OTKA PD 109572 (to B.C.) and OTKA PD 106231 (to K.U.); Hungarian Academy of Sciences Postdoctoral Fellowship Program Grant SZ-039/2013 (to B. Bogos); the János Bolyai Research Scholarship of the Hungarian Academy of Sciences (I.N.); and a PhD fellowship from the Boehringer Ingelheim Fonds (to Á.N.).

Notes

This article is a PNAS Direct Submission.

Authors

Affiliations

Ákos Nyerges1
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Bálint Csörgő2,1 [email protected]
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
István Nagy
Symbiosis and Functional Genomics Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
SeqOmics Biotechnology Ltd., Mórahalom H-6782, Hungary
Balázs Bálint
SeqOmics Biotechnology Ltd., Mórahalom H-6782, Hungary
Péter Bihari
SeqOmics Biotechnology Ltd., Mórahalom H-6782, Hungary
Viktória Lázár
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Gábor Apjok
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Kinga Umenhoffer
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Balázs Bogos
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Present address: Department of Environmental Systems Science, Institute of Integrative Biology, Eidgenössische Technische Hochschule Zürich, CH-8092 Zürich, Switzerland.
György Pósfai
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;
Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged H-6726, Hungary;

Notes

2
To whom correspondence may be addressed. Email: [email protected] or [email protected].
Author contributions: Á.N., B.C., and C.P. designed research; Á.N., B.C., I.N., P.B., V.L., G.A., K.U., and B. Bogos performed research; I.N., B. Bálint, P.B., and G.P. contributed new reagents/analytic tools; Á.N., B.C., and B. Bálint analyzed data; and Á.N., B.C., and C.P. wrote the paper.
1
Á.N. and B.C. contributed equally to this work.

Competing Interests

The authors declare no conflict of interest.

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    A highly precise and portable genome engineering method allows comparison of mutational effects across bacterial species
    Proceedings of the National Academy of Sciences
    • Vol. 113
    • No. 9
    • pp. 2319-E1328

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