Literature DB >> 21609695

Development of an automated platform for high-throughput P1-phage transduction of Escherichia coli.

Michael J Donath1, Miguel A Dominguez, Sydnor T Withers.   

Abstract

Synthetic biology depends on the ability to rapidly produce strains with improved phenotypes but is limited by the ability to rapidly produce strain collections with directed mutations. Here, we present a system capable of overcoming this limitation through automated P1-phage transductions of Escherichia coli. By combining the Keio collection of single-gene deletion E. coli mutants with P1-phage, it is possible to generate an engineered host-strain collection consisting of every possible gene deletion mutant. This strategy was tested by transducing 355 genetic markers from the Keio collection into five different host strains, and it achieved a 98% success rate. This method offers an improved mechanism for rapidly engineering collections of microbes and provides one method for rapidly deploying a broader synthetic biology effort.
Copyright © 2011 Society for Laboratory Automation and Screening. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21609695     DOI: 10.1016/j.jala.2010.08.005

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  3 in total

Review 1.  Genome engineering for improved recombinant protein expression in Escherichia coli.

Authors:  Shubhashree Mahalik; Ashish K Sharma; Krishna J Mukherjee
Journal:  Microb Cell Fact       Date:  2014-12-19       Impact factor: 5.328

2.  Enzyme promiscuity shapes adaptation to novel growth substrates.

Authors:  Gabriela I Guzmán; Troy E Sandberg; Ryan A LaCroix; Ákos Nyerges; Henrietta Papp; Markus de Raad; Zachary A King; Ying Hefner; Trent R Northen; Richard A Notebaart; Csaba Pál; Bernhard O Palsson; Balázs Papp; Adam M Feist
Journal:  Mol Syst Biol       Date:  2019-04-08       Impact factor: 11.429

3.  Identification of transport proteins involved in free fatty acid efflux in Escherichia coli.

Authors:  Rebecca M Lennen; Mark G Politz; Max A Kruziki; Brian F Pfleger
Journal:  J Bacteriol       Date:  2012-10-26       Impact factor: 3.490

  3 in total

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