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Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms

Open access
van Opijnen, Tim, Bodi, Kip L, Camilli, Andrew·2009·Nature Methods

Abstract

Biological pathways are structured in complex networks of interacting genes. Solving the architecture of such networks may provide valuable information, such as how microorganisms cause disease. Here we present a method (Tn-seq) for accurately determining quantitative genetic interactions on a genome-wide scale in microorganisms. Tn-seq is based on the assembly of a saturated Mariner transposon insertion library. After library selection, changes in frequency of each insertion mutant are determined by sequencing the flanking regions en masse. These changes are used to calculate each mutant's fitness. Using this approach, we determined fitness for each gene of Streptococcus pneumoniae, a causative agent of pneumonia and meningitis. A genome-wide screen for genetic interactions of five query genes identified both alleviating and aggravating interactions that could be divided into seven distinct categories. Owing to the wide activity of the Mariner transposon, Tn-seq has the potential to contribute to the exploration of complex pathways across many different species.

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Metadata

Authors
van Opijnen, T., Bodi, K. L., & Camilli, A.
Venue
Nature Methods
Published
2009-09-20
Volume
6
Issue
10
Pages
767-772
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2030924818
Cited by
933
References
7
FWCI
13.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms. https://app.cochat.ai/papers/10.1038/nmeth.1377
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van Opijnen, T., Bodi, K. L., & Camilli, A. (2009). Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms. Nature Methods. https://doi.org/10.1038/nmeth.1377

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