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

转座因子 生物 基因 遗传学 计算生物学 突变体 基因组
作者
Tim van Opijnen,K. Bodi,Andrew Camilli
出处
期刊:Nature Methods [Nature Portfolio]
卷期号:6 (10): 767-772 被引量:1015
标识
DOI:10.1038/nmeth.1377
摘要

High-throughput sequencing of Mariner transposon insertion libraries is used for quantitative studies of fitness and of genetic interactions in Streptococcus pneumoniae. The approach should allow similar studies in several microorganismal species. 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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