Tn-seq

Tn-seq identifies essential genes within specific environments by mapping genome-wide transposon insertions through high-throughput sequencing of transposon-genome junctions.


Key Features:

  • Transposon libraries: Generation of genome-wide transposon insertion libraries to inactivate nonessential genes.
  • Random insertion mapping: Integration of transposons into random genomic locations to assay gene essentiality.
  • Sequencing platform: Sequencing of transposon-genome junctions using Illumina high-throughput sequencing technologies.
  • Computational processing: Scripts developed in the Whiteley lab automate parsing, mapping, and tallying of Tn-seq reads.
  • Differential abundance analysis: Identification of differentially abundant transposon insertion mutants to determine essential genes.
  • Cross-strain comparison: Application to comprehensive libraries across multiple strains to compare gene essentiality in different genetic backgrounds.

Scientific Applications:

  • Staphylococcus aureus gene essentiality: Identification of essential genes in Staphylococcus aureus strains.
  • Host-environment essentiality: Determination of genes required for bacterial survival in specific host environments.
  • Animal infection models: Use in animal models of infection, for example murine models of osteomyelitis, to identify genes necessary for in vivo survival.
  • Pathogenesis mechanisms: Pinpointing genes indispensable for bacterial pathogenesis within host tissues.

Methodology:

Sequencing of transposon-genome junctions (Illumina) produces datasets that are parsed, mapped, and tallied by scripts developed in the Whiteley lab, followed by analysis to identify differentially abundant transposon insertion mutants.

Topics

Details

Programming Languages:
R, Shell
Added:
11/14/2019
Last Updated:
12/28/2020

Operations

Publications

Peek CT, Ibberson CB, Cassat JE. Identification of Virulence Determinants During Host-Pathogen Interaction Using Tn-Seq Technology. Methods in Molecular Biology. 2019. doi:10.1007/978-1-4939-9849-4_12. PMID:31523773.