Literature DB >> 24733243

Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms.

Tim van Opijnen1, David W Lazinski, Andrew Camilli.   

Abstract

The lagging annotation of bacterial genomes and the inherent genetic complexity of many phenotypes is hindering the discovery of new drug targets and the development of new antimicrobial agents and vaccines. This unit presents Tn-seq, a method that has made it possible to quantitatively determine fitness for most genes in a microorganism and to screen for quantitative genetic interactions on a genome-wide scale and in a high-throughput fashion. Tn-seq can thus direct studies on the annotation of genes and untangle complex phenotypes. The method is based on the construction of a saturated transposon insertion library. After library selection, changes in the frequency of each insertion mutant are determined by sequencing flanking regions en masse. These changes are used to calculate each mutant's fitness. The method was originally developed for the Gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis, but has now been applied to several different microbial species.
Copyright © 2014 John Wiley & Sons, Inc.

Entities:  

Keywords:  Streptococcus pneumoniae; Tn-seq; Vibrio cholerae; genetic interactions; genome-wide fitness; massively parallel sequencing; transposon mutagenesis; transposon sequencing

Mesh:

Substances:

Year:  2014        PMID: 24733243      PMCID: PMC4568079          DOI: 10.1002/0471142727.mb0716s106

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  44 in total

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Journal:  Nat Rev Microbiol       Date:  2013-05-28       Impact factor: 60.633

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