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 of the flanking regions en masse. These changes are used to calculate each mutant’s fitness. Fitness was determined for each gene of the gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis. A genome-wide screen for genetic interactions identified both alleviating and aggravating interactions that could be further divided into seven distinct categories. Due 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.

Our knowledge of gene function has increasingly lagged behind gene discovery, hindering our understanding of the genetic basis of microbial phenotypes. Recently, however, massively parallel sequencing has been combined with traditional transposon mutagenesis in techniques referred to as transposon sequencing (Tn-seq), high-throughput insertion tracking by deep sequencing (HITS), insertion sequencing (INSeq) and transposon-directed insertion site sequencing (TraDIS), making it possible to identify putative gene functions in a high-throughput manner. Here, we describe the similarities and differences of these related techniques and discuss their application to the probing of gene function and higher-order genome organization.

A large fraction of the genes from sequenced organisms are of unknown function. This limits biological insight, and for pathogenic microorganisms hampers the development of new approaches to battle infections. There is thus a great need for novel strategies that link genotypes to phenotypes for microorganisms. We describe a high-throughput strategy based on the method Tn-seq that can be applied to any genetically manipulatable microorganism. By screening 17 in vitro and two in vivo (carriage and infection) conditions for the pathogen Streptococcus pneumoniae, we create a resource consisting of >1800 interactions that is rich in new genotype-phenotype relationships. We describe genes that are involved in differential carbon source utilization in the host, as well as genes that are involved both in virulence and in resistance against specific in vitro stresses, thereby revealing selection pressures that the pathogen experiences in vivo. We reveal the secondary response to an antibiotic, including a dual role efflux pump also involved in resistance to pH stress. Through genetic-interaction mapping and gene-expression analysis we define the mechanism of attenuation and the regulatory relationship between a two-component system and a core biosynthetic pathway specific to microorganisms. Thus, we have generated a resource that provides detailed insight into the biology and virulence of S. pneumoniae and provided a road map for similar discovery in other microorganisms.

It has been 10 years since the introduction of modern transposon-insertion sequencing (TIS) methods, which combine genome-wide transposon mutagenesis with high-throughput sequencing to estimate the fitness contribution or essentiality of each genetic component in a bacterial genome. Four TIS variations were published in 2009: transposon sequencing (Tn-Seq), transposon-directed insertion site sequencing (TraDIS), insertion sequencing (INSeq) and highthroughput insertion tracking by deep sequencing (HITS). TIS has since become an important tool for molecular microbiologists, being one of the few genome-wide techniques that directly links phenotype to genotype and ultimately can assign gene function. In this Review, we discuss the recent applications of TIS to answer overarching biological questions. We explore emerging and multidisciplinary methods that build on TIS, with an eye towards future applications.