Title: Rapid quantification of mutant fitness in diverse bacteria by sequencing randomly bar-coded transposons

Abstract

ABSTRACT Transposon mutagenesis with next-generation sequencing (TnSeq) is a powerful approach to annotate gene function in bacteria, but existing protocols for TnSeq require laborious preparation of every sample before sequencing. Thus, the existing protocols are not amenable to the throughput necessary to identify phenotypes and functions for the majority of genes in diverse bacteria. Here, we present a method, random bar code transposon-site sequencing (RB-TnSeq), which increases the throughput of mutant fitness profiling by incorporating random DNA bar codes into Tn5andmarinertransposons and by using bar code sequencing (BarSeq) to assay mutant fitness. RB-TnSeq can be used with any transposon, and TnSeq is performed once per organism instead of once per sample. Each BarSeq assay requires only a simple PCR, and 48 to 96 samples can be sequenced on one lane of an Illumina HiSeq system. We demonstrate the reproducibility and biological significance of RB-TnSeq withEscherichia coli,Phaeobacter inhibens,Pseudomonas stutzeri,Shewanella amazonensis, andShewanella oneidensis. To demonstrate the increased throughput of RB-TnSeq, we performed 387 successful genome-wide mutant fitness assays representing 130 different bacterium-carbon source combinations and identified 5,196 genes with significant phenotypes across the five bacteria. InP. inhibens, we used our mutant fitness data to identify genes important for the utilization of diverse carbonmore » substrates, including a putatived-mannose isomerase that is required for mannitol catabolism. RB-TnSeq will enable the cost-effective functional annotation of diverse bacteria using mutant fitness profiling. IMPORTANCEA large challenge in microbiology is the functional assessment of the millions of uncharacterized genes identified by genome sequencing. Transposon mutagenesis coupled to next-generation sequencing (TnSeq) is a powerful approach to assign phenotypes and functions to genes. However, the current strategies for TnSeq are too laborious to be applied to hundreds of experimental conditions across multiple bacteria. Here, we describe an approach, random bar code transposon-site sequencing (RB-TnSeq), which greatly simplifies the measurement of gene fitness by using bar code sequencing (BarSeq) to monitor the abundance of mutants. We performed 387 genome-wide fitness assays across five bacteria and identified phenotypes for over 5,000 genes. RB-TnSeq can be applied to diverse bacteria and is a powerful tool to annotate uncharacterized genes using phenotype data.« less

Authors:

Wetmore, Kelly M. ^[1]; Price, Morgan N. ^[1]; Waters, Robert J. ^[2]; Lamson, Jacob S. ^[1]; He, Jennifer ^[3]; Hoover, Cindi A. ^[2]; Blow, Matthew J. ^[2]; Bristow, James ^[2]; Butland, Gareth ^[3]; Arkin, Adam P. ^[4]; Deutschbauer, Adam ^[1]

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+ Show Author Affiliations

1. Lawrence Berkeley National Laboratory, Berkeley, CA (United States). Physical Biosciences Division.
2. Lawrence Berkeley National Laboratory, Walnut Creek, CA (United States). Joint Genome Institute.
3. Lawrence Berkeley National Laboratory, Berkeley, CA (United States). Life Sciences Division.
4. Lawrence Berkeley National Laboratory, Berkeley, CA (United States). Physical Biosciences Division; Univ. of California, Berkeley, CA (United States)

Publication Date:

Tue May 12 00:00:00 EDT 2015

Research Org.:

Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Org.:

USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:

1215637

Alternate Identifier(s):

OSTI ID: 1512190

Grant/Contract Number:  

AC02-05CH11231

Resource Type:

Accepted Manuscript

Journal Name:

mBio (Online)

Additional Journal Information:

Journal Name: mBio (Online); Journal Volume: 6; Journal Issue: 3; Journal ID: ISSN 2150-7511

Publisher:

American Society for Microbiology

Country of Publication:

United States

Language:

English

Subject:

59 BASIC BIOLOGICAL SCIENCES