Literature DB >> 26884157

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

Ákos Nyerges1, Bálint Csörgő2, István Nagy3, Balázs Bálint4, Péter Bihari4, Viktória Lázár1, Gábor Apjok1, Kinga Umenhoffer1, Balázs Bogos1, György Pósfai1, Csaba Pál2.   

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.

Entities:  

Keywords:  genome engineering; methyl-directed mismatch repair; off-target effects; recombineering; synthetic biology

Mesh:

Year:  2016        PMID: 26884157      PMCID: PMC4780621          DOI: 10.1073/pnas.1520040113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  57 in total

1.  A set of recombineering plasmids for gram-negative bacteria.

Authors:  Simanti Datta; Nina Costantino; Donald L Court
Journal:  Gene       Date:  2006-05-04       Impact factor: 3.688

2.  Fluctuation analysis CalculatOR: a web tool for the determination of mutation rate using Luria-Delbruck fluctuation analysis.

Authors:  Brandon M Hall; Chang-Xing Ma; Ping Liang; Keshav K Singh
Journal:  Bioinformatics       Date:  2009-04-15       Impact factor: 6.937

3.  The Escherichia coli mismatch repair protein MutL recruits the Vsr and MutH endonucleases in response to DNA damage.

Authors:  Yaroslava Y Polosina; Justin Mui; Photini Pitsikas; Claire G Cupples
Journal:  J Bacteriol       Date:  2009-04-17       Impact factor: 3.490

4.  Multiplexed genome engineering and genotyping methods applications for synthetic biology and metabolic engineering.

Authors:  Harris H Wang; George M Church
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

5.  Precise manipulation of chromosomes in vivo enables genome-wide codon replacement.

Authors:  Farren J Isaacs; Peter A Carr; Harris H Wang; Marc J Lajoie; Bram Sterling; Laurens Kraal; Andrew C Tolonen; Tara A Gianoulis; Daniel B Goodman; Nikos B Reppas; Christopher J Emig; Duhee Bang; Samuel J Hwang; Michael C Jewett; Joseph M Jacobson; George M Church
Journal:  Science       Date:  2011-07-15       Impact factor: 47.728

6.  Detection of novel recombinases in bacteriophage genomes unveils Rad52, Rad51 and Gp2.5 remote homologs.

Authors:  Anne Lopes; Jihane Amarir-Bouhram; Guilhem Faure; Marie-Agnès Petit; Raphaël Guerois
Journal:  Nucleic Acids Res       Date:  2010-03-01       Impact factor: 16.971

7.  Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances.

Authors:  Irith Wiegand; Kai Hilpert; Robert E W Hancock
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

8.  Programming cells by multiplex genome engineering and accelerated evolution.

Authors:  Harris H Wang; Farren J Isaacs; Peter A Carr; Zachary Z Sun; George Xu; Craig R Forest; George M Church
Journal:  Nature       Date:  2009-07-26       Impact factor: 49.962

9.  Novel reference genes for quantifying transcriptional responses of Escherichia coli to protein overexpression by quantitative PCR.

Authors:  Kang Zhou; Lihan Zhou; Qing 'En Lim; Ruiyang Zou; Gregory Stephanopoulos; Heng-Phon Too
Journal:  BMC Mol Biol       Date:  2011-04-23       Impact factor: 2.946

10.  Transient overexpression of DNA adenine methylase enables efficient and mobile genome engineering with reduced off-target effects.

Authors:  Rebecca M Lennen; Annika I Nilsson Wallin; Margit Pedersen; Mads Bonde; Hao Luo; Markus J Herrgård; Morten O A Sommer
Journal:  Nucleic Acids Res       Date:  2015-10-22       Impact factor: 16.971

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  62 in total

1.  Advances in bacterial cancer therapies using synthetic biology.

Authors:  Tiffany Chien; Anjali Doshi; Tal Danino
Journal:  Curr Opin Syst Biol       Date:  2017-05-23

2.  Rapid and Programmable Protein Mutagenesis Using Plasmid Recombineering.

Authors:  Sean A Higgins; Sorel V Y Ouonkap; David F Savage
Journal:  ACS Synth Biol       Date:  2017-07-24       Impact factor: 5.110

3.  Rapid Evolution of Reduced Susceptibility against a Balanced Dual-Targeting Antibiotic through Stepping-Stone Mutations.

Authors:  Petra Szili; Gábor Draskovits; Tamás Révész; Ferenc Bogár; Dávid Balogh; Tamás Martinek; Lejla Daruka; Réka Spohn; Bálint Márk Vásárhelyi; Márton Czikkely; Bálint Kintses; Gábor Grézal; Györgyi Ferenc; Csaba Pál; Ákos Nyerges
Journal:  Antimicrob Agents Chemother       Date:  2019-08-23       Impact factor: 5.191

4.  Contribution of Novel Amino Acid Alterations in PmrA or PmrB to Colistin Resistance in mcr-Negative Escherichia coli Clinical Isolates, Including Major Multidrug-Resistant Lineages O25b:H4-ST131-H30Rx and Non-x.

Authors:  Toyotaka Sato; Tsukasa Shiraishi; Yoshiki Hiyama; Hiroyuki Honda; Masaaki Shinagawa; Masaru Usui; Koji Kuronuma; Naoya Masumori; Satoshi Takahashi; Yutaka Tamura; Shin-Ichi Yokota
Journal:  Antimicrob Agents Chemother       Date:  2018-08-27       Impact factor: 5.191

Review 5.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

6.  An Improved Medium for Colistin Susceptibility Testing.

Authors:  Konrad Gwozdzinski; Saina Azarderakhsh; Can Imirzalioglu; Linda Falgenhauer; Trinad Chakraborty
Journal:  J Clin Microbiol       Date:  2018-04-25       Impact factor: 5.948

7.  Experimental evolution heals the scars of genome-scale recoding.

Authors:  Olivier Tenaillon
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-07       Impact factor: 11.205

Review 8.  Modern methods for laboratory diversification of biomolecules.

Authors:  Sinisa Bratulic; Ahmed H Badran
Journal:  Curr Opin Chem Biol       Date:  2017-11-02       Impact factor: 8.822

9.  Improved bacterial recombineering by parallelized protein discovery.

Authors:  Timothy M Wannier; Akos Nyerges; Helene M Kuchwara; Márton Czikkely; Dávid Balogh; Gabriel T Filsinger; Nathaniel C Borders; Christopher J Gregg; Marc J Lajoie; Xavier Rios; Csaba Pál; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-28       Impact factor: 11.205

10.  Growth of E. coli on formate and methanol via the reductive glycine pathway.

Authors:  Seohyoung Kim; Steffen N Lindner; Selçuk Aslan; Oren Yishai; Sebastian Wenk; Karin Schann; Arren Bar-Even
Journal:  Nat Chem Biol       Date:  2020-02-10       Impact factor: 15.040

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