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.
PMID: 31523773