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RecET-Mediated Recombineering in Acinetobacter baumannii

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2019Publisher:Springer New York

Authors: Bryan William Davies; Matthew J. Powers; Ashley T. Tucker; M. Stephen Trent;

doi: 10.1007/978-1-4939-9118-1_11

pmid: 30798549

RecET-Mediated Recombineering in Acinetobacter baumannii

- Summary
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Abstract

Acinetobacter baumannii rapidly acquires antibiotic resistance, and its genome encodes mechanisms to tolerate biocides and desiccation, enhancing its persistence in hospital settings. Tools to rapidly dissect the A. baumannii genome are needed to understand cellular factors that contribute to its resiliency at a genetic and mechanistic level. While a substantial amount of clinical data has documented the global rise of A. baumannii as an antibiotic-resistant pathogen, genetic tools to dissect its molecular details have been limited. This procedure describes a recombination-mediated genetic engineering (recombineering) system for targeted genome editing of A. baumannii. This system can perform directed mutagenesis on wide-ranging genes and operons and has broad application in various strains of A. baumannii.

Related Organizations

The University of Texas at Austin
United States
University of Georgia
Georgia
University of Georgia Press
United States

Keywords

Acinetobacter baumannii, Gene Editing, Genotyping Techniques, Gene Expression, Microbial Sensitivity Tests, Anti-Bacterial Agents, DNA-Binding Proteins, Gene Knockout Techniques, Rec A Recombinases, Bacterial Proteins, Mutagenesis, Humans, Transformation, Bacterial, Genetic Engineering, Homologous Recombination, Genome, Bacterial

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%