Tim van Opijnen

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

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 mutants 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.

Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms.

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 fine scale phenotype–genotype virulence map of a bacterial pathogen

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.

Control of Virulence by Small RNAs in Streptococcus pneumoniae

Small noncoding RNAs (sRNAs) play important roles in gene regulation in both prokaryotes and eukaryotes. Thus far, no sRNA has been assigned a definitive role in virulence in the major human pathogen Streptococcus pneumoniae. Based on the potential coding capacity of intergenic regions, we hypothesized that the pneumococcus produces many sRNAs and that they would play an important role in pathogenesis. We describe the application of whole-genome transcriptional sequencing to systematically identify the sRNAs of Streptococcus pneumoniae. Using this approach, we have identified 89 putative sRNAs, 56 of which are newly identified. Furthermore, using targeted genetic approaches and Tn-seq transposon screening, we demonstrate that many of the identified sRNAs have important global and niche-specific roles in virulence. These data constitute the most comprehensive analysis of pneumococcal sRNAs and provide the first evidence of the extensive roles of sRNAs in pneumococcal pathogenesis.

Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms

The lagging annotation of bacterial genomes and the inherent genetic complexity of many phenotypes is hindering the discovery of new drug targets and the development of new antimicrobials and vaccines. Here we present the method Tn‐seq, with which it has become possible to quantitatively determine fitness for most genes in a microorganism and to screen for quantitative genetic interactions on a genome‐wide scale and in a high‐throughput fashion. Tn‐seq can thus direct studies in the annotation of genes and untangle complex phenotypes. The method is based on the construction 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 mutants fitness. The method has been developed for the Gram‐positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis; however, due to the wide activity of the Mariner transposon, Tn‐seq can be applied to many different microbial species. Curr. Protoc. Microbiol. 19:1E.3.1‐1E.3.16.

The Human Immunodeficiency Virus Type 1 Promoter Contains a CATA Box Instead of a TATA Box for Optimal Transcription and Replication

ABSTRACT The human immunodeficiency virus type 1 (HIV-1) transcriptional promoter contains a single polymorphism in the TATA box. Most subtypes contain the sequence TATAAGC, but subtype E and some recombinant AG strains have the sequence TAAAAGC. Based on mutagenesis studies of cellular RNA polymerase II (pol II) promoters, it has been proposed that the subtype E TATA box is nonfunctional due to the T-to-A substitution at the critical position 3. By means of transcription and virus replication assays, we demonstrate that the true TATA box motif within the viral long terminal repeat (LTR) promoter starts two nucleotides further upstream. Because of this realignment, subtype E has the sequence CATAAAA and all other subtypes have the sequence CATATAA. The polymorphism therefore has shifted from position 3 to position 5 and is no longer incompatible with efficient transcription according to rules determined for cellular pol II promoters. In addition, through sensitive competition experiments, we demonstrate that the CATA box of subtypes B and E can be improved for replication by the mutations 1T and 5T, respectively. The fact that the fitness of both subtype LTRs can be increased by specific point mutations in the CATA box suggests that the transcriptional promoter of HIV-1 is fine-tuned towards a suboptimal level of replication. However, this replication rate may be optimal in the in vivo context of an infected individual.

Genomic Analyses of Pneumococci from Children with Sickle Cell Disease Expose Host-Specific Bacterial Adaptations and Deficits in Current Interventions

Sickle cell disease (SCD) patients are at high risk of contracting pneumococcal infection. To address this risk, they receive pneumococcal vaccines, and antibiotic prophylaxis and treatment. To assess the impact of SCD and these interventions on pneumococcal genetic architecture, we examined the genomes of more than 300 pneumococcal isolates from SCD patients over 20 years. Modern SCD strains retained invasive capacity but shifted away from the serotypes used in vaccines. These strains had specific genetic changes related to antibiotic resistance, capsule biosynthesis, metabolism, and metal transport. A murine SCD model coupled with Tn-seq mutagenesis identified 60 noncapsular pneumococcal genes under differential selective pressure in SCD, which correlated with aspects of SCD pathophysiology. Further, virulence determinants in the SCD context were distinct from the general population, and protective capacity of potential antigens was lost over time in SCD. This highlights the importance of understanding bacterial pathogenesis in the context of high-risk individuals.

Effects of Random Mutations in the Human Immunodeficiency Virus Type 1 Transcriptional Promoter on Viral Fitness in Different Host Cell Environments

ABSTRACT A mutations effect on fitness or phenotype may in part depend on the interaction of the mutation with the environment. The resulting phenotype or fitness is important, since it determines the adaptive potential of a species. To date, most studies have focused on alterations to protein-coding regions of the genome and their consequential fitness effects. Non-protein-coding regulatory regions have been largely neglected, although they make up a large and important part of an organisms genome. Here, we use human immunodeficiency virus type 1 as a model system to investigate fitness effects of random mutations in noncoding DNA-binding sites of the transcriptional promoter. We determined 242 fitness values for 35 viral promoter mutants with one, two, or three mutations across seven distinct cellular environments and identified that (i) all mutants have an effect in at least one cellular environment; (ii) fitness effects are highly dependent on the cellular environment; (iii) disadvantageous and advantageous mutations occur at high and similar frequencies; and (iv) epistatic effects of multiple mutations are rare. Our results underline the evolutionary potential of regulatory regions and indicate that DNA-binding sites evolve under strong selection, while at the same time, they are very plastic to environmental change.

Genetic Conflicts over Sex Ratio: Mite‐Endosymbiont Interactions

Nucleocytoplasmic genetic conflicts arise as a result of asymmetric transmission of cytoplasmic and nuclear genes. Spread of a cytoplasmic element promoting female‐biased sex ratios creates selection on nuclear genes for mechanisms that decrease the bias. Here we investigate the conflict over sex ratio between the cytoplasmic bacterium Wolbachia and the two‐spotted spider mite Tetranychus urticae Koch. We show that, first, infected females produce significantly more female‐biased sex ratios than uninfected (cured) females. Second, this effect is not due to parthenogenesis, male killing, or feminization, phenotypes commonly associated with infection by Wolbachia. Third, sex ratio is a trait with a heritable component in this species; thus, it can evolve under selection. Fourth, the sex ratio produced by uninfected (cured) females changes over time, approaching the sex ratio produced by females from the infected culture. On the basis of these results, we suggest that after sex ratio manipulation by Wolbachia, a host compensatory mechanism evolved that allows infected females to produce the sex ratio favored by nuclear genes. We discuss the evolution of “mutualism” with respect to the evolution of host mechanisms that compensate for effects induced by vertically transmitted “parasites.”

Strain Dependent Genetic Networks for Antibiotic-Sensitivity in a Bacterial Pathogen with a Large Pan-Genome.

The interaction between an antibiotic and bacterium is not merely restricted to the drug and its direct target, rather antibiotic induced stress seems to resonate through the bacterium, creating selective pressures that drive the emergence of adaptive mutations not only in the direct target, but in genes involved in many different fundamental processes as well. Surprisingly, it has been shown that adaptive mutations do not necessarily have the same effect in all species, indicating that the genetic background influences how phenotypes are manifested. However, to what extent the genetic background affects the manner in which a bacterium experiences antibiotic stress, and how this stress is processed is unclear. Here we employ the genome-wide tool Tn-Seq to construct daptomycin-sensitivity profiles for two strains of the bacterial pathogen Streptococcus pneumoniae. Remarkably, over half of the genes that are important for dealing with antibiotic-induced stress in one strain are dispensable in another. By confirming over 100 genotype-phenotype relationships, probing potassium-loss, employing genetic interaction mapping as well as temporal gene-expression experiments we reveal genome-wide conditionally important/essential genes, we discover roles for genes with unknown function, and uncover parts of the antibiotic’s mode-of-action. Moreover, by mapping the underlying genomic network for two query genes we encounter little conservation in network connectivity between strains as well as profound differences in regulatory relationships. Our approach uniquely enables genome-wide fitness comparisons across strains, facilitating the discovery that antibiotic responses are complex events that can vary widely between strains, which suggests that in some cases the emergence of resistance could be strain specific and at least for species with a large pan-genome less predictable.