Genetic footprinting in bacteria

A statistical framework for improving genomic annotations of transposon mutagenesis (TM) assigned essential genes

Whole-genome transposon mutagenesis (TM) experiment followed by sequence-based identification of insertion sites is the most popular genome-wise experiment to identify essential genes in Prokaryota. However, due to the limitation of high-throughput technique, this approach yields substantial systematic biases resulting in the incorrect assignments of many essential genes. To obtain unbiased and accurate annotations of essential genes from TM experiments, we developed a novel Poisson model based statistical framework to refine these TM assignments. In the model, first we identified and incorporated several potential factors such as gene length and TM insertion information which may cause the TM assignment biases into the basic Poisson model. Then we calculated the conditional probability of an essential gene given the observed TM insertion number. By factorizing this probability through introducing a latent variable the real insertion number, we formalized the statistical framework. Through iteratively updating and optimizing model parameters to maximize the goodness-of-fit of the model to the observed TM insertion data, we finalized the model. Using this model, we are able to assign the probability score of essentiality to each individual gene given its TM assignment, which subsequently correct the experimental biases. To enable our model widely useable, we established a user-friendly Web-server that is accessible to the public: http://research.cchmc.org/essentialgene/.

Metabolic network analysis-based identification of antimicrobial drug targets in category A bioterrorism agents

The 2001 anthrax mail attacks in the United States demonstrated the potential threat of bioterrorism, hence driving the need to develop sophisticated treatment and diagnostic protocols to counter biological warfare. Here, by performing flux balance analyses on the fully-annotated metabolic networks of multiple, whole genome-sequenced bacterial strains, we have identified a large number of metabolic enzymes as potential drug targets for each of the three Category A-designated bioterrorism agents including Bacillus anthracis, Francisella tularensis and Yersinia pestis. Nine metabolic enzymes- belonging to the coenzyme A, folate, phosphatidyl-ethanolamine and nucleic acid pathways common to all strains across the three distinct genera were identified as targets. Antimicrobial agents against some of these enzymes are available. Thus, a combination of cross species-specific antibiotics and common antimicrobials against shared targets may represent a useful combinatorial therapeutic approach against all Category A bioterrorism agents.

Selective Capture of Transcribed Sequences: A Promising Approach for Investigating Bacterium-Insect Interactions

Bacterial interactions with eukaryotic hosts are complex processes which vary from pathogenic to mutualistic. Identification of bacterial genes differentially expressed in the host, promises to unravel molecular mechanisms driving and maintaining such interactions. Several techniques have been developed in the past 20 years to investigate bacterial gene expression within their hosts. The most commonly used techniques include in-vivo expression technology, signature-tagged mutagenesis, differential fluorescence induction, and cDNA microarrays. However, the limitations of these techniques in analyzing bacterial in-vivo gene expression indicate the need to develop alternative tools. With many advantages over the other methods for analyzing bacterial in-vivo gene expression, selective capture of transcribed sequences (SCOTS) technique has the prospect of becoming an elegant tool for discovery of genes involved in the bacterium-host interaction. Here, we summarize the advances in SCOTS technique, including its current and potential applications in bacterial gene expression studies under a variety of conditions from in-vitro to in-vivo and from mammals to insects.

Tn5 transposase-assisted transformation of indica rice

Here, we describe experiments on Tn5 transposase-assisted transformation of indica rice. Transposomes were formed in vitro as a result of hyperactive Tn5 transposase complexing with a transposon that contained a 19-bp tetracycline operator (tetO) sequence. To form modified projectiles for transformation, the Tn10-derived prokaryotic tetracycline repressor (TetR) proteins, which can bind transposomes via the high affinity of TetR for tetO, were immobilized onto the surface of bare gold microscopic particles. These projectiles were introduced into cells of the indica rice cultivar Zhuxian B by particle bombardment. Once projectiles were inside the cell, tetracycline induced an allosteric conformational change in TetR that resulted in the dissociation of TetR from tetO, and thus generated free transposomes. Molecular evidence of transposition was obtained by the cloning of insertion sites from many transgenic plants. We also demonstrated that the introduced foreign DNA was inherited stably over several generations. This technique is a promising transformation method for other plant species as it is species independent.

Coenzyme A biosynthesis: an antimicrobial drug target

Pantothenic acid, a precursor of coenzyme A (CoA), is essential for the growth of pathogenic microorganisms. Since the structure of pantothenic acid was determined, many analogues of this essential metabolite have been prepared. Several have been demonstrated to exert an antimicrobial effect against a range of microorganisms by inhibiting the utilization of pantothenic acid, validating pantothenic acid utilization as a potential novel antimicrobial drug target. This review commences with an overview of the mechanisms by which various microorganisms acquire the pantothenic acid they require for growth, and the universal CoA biosynthesis pathway by which pantothenic acid is converted into CoA. A detailed survey of studies that have investigated the inhibitory activity of analogues of pantothenic acid and other precursors of CoA follows. The potential of inhibitors of both pantothenic acid utilization and biosynthesis as novel antibacterial, antifungal and antimalarial agents is discussed, focusing on inhibitors and substrates of pantothenate kinase, the enzyme catalysing the rate-limiting step of CoA biosynthesis in many organisms. The best strategies are considered for identifying inhibitors of pantothenic acid utilization and biosynthesis that are potent and selective inhibitors of microbial growth and that may be suitable for use as chemotherapeutic agents in humans.

Whole-genome detection of conditionally essential and dispensable genes in Escherichia coli via genetic footprinting

We present a whole-genome approach to genetic footprinting in Escherichia coli using Tn5-based transposons to determine gene essentiality. A population of cells is mutagenized and subjected to outgrowth under selective conditions. Transposon insertions in the surviving mutants are detected using nested polymerase chain reaction (PCR), agarose gel electrophoresis, and software-assisted PCR product size determination. Genomic addresses of these inserts are then mapped onto the E. coli genome sequence based on the PCR product lengths and the addresses of the corresponding genome-specific primers. Gene essentiality conclusions were drawn based on a semiautomatic analysis of the number and relative positions of inserts retained within each gene after selective outgrowth.

High-precision mapping of protein protein interfaces: an integrated genetic strategy combining en masse mutagenesis and DNA-level parallel analysis on a yeast two-hybrid platform

Understanding networks of protein–protein interactions constitutes an essential component on a path towards comprehensive description of cell function. Whereas efficient techniques are readily available for the initial identification of interacting protein partners, practical strategies are lacking for the subsequent high-resolution mapping of regions involved in protein–protein interfaces. We present here a genetic strategy to accurately map interacting protein regions at amino acid precision. The system is based on parallel construction, sampling and analysis of a comprehensive insertion mutant library. The methodology integrates Mu in vitro transposition-based random pentapeptide mutagenesis of proteins, yeast two-hybrid screening and high-resolution genetic footprinting. The strategy is general and applicable to any interacting protein pair. We demonstrate the feasibility of the methodology by mapping the region in human JFC1 that interacts with Rab8A, and we show that the association is mediated by the Slp homology domain 1.

From Bacterial Genomes to Novel Antibacterial Agents: Discovery, Characterization, and Antibacterial Activity of Compounds that Bind to HI0065 (YjeE) from Haemophilus influenzae

As part of a fully integrated and comprehensive strategy to discover novel antibacterial agents, NMR- and mass spectrometry-based affinity selection screens were performed to identify compounds that bind to protein targets uniquely found in bacteria and encoded by genes essential for microbial viability. A biphenyl acid lead series emerged from an NMR-based screen with the Haemophilus influenzae protein HI0065, a member of a family of probable ATP-binding proteins found exclusively in eubacteria. The structure-activity relationships developed around the NMR-derived biphenyl acid lead were consistent with on-target antibacterial activity as the Staphylococcus aureus antibacterial activity of the series correlated extremely well with binding affinity to HI0065, while the correlation of binding affinity with B-cell cytotoxicity was relatively poor. Although further studies are needed to conclusively establish the mode of action of the biphenyl series, these compounds represent novel leads that can serve as the basis for the development of novel antibacterial agents that appear to work via an unprecedented mechanism of action. Overall, these results support the genomics-driven hypothesis that targeting bacterial essential gene products that are not present in eukaryotic cells can identify novel antibacterial agents.

Experimental and computational assessment of conditionally essential genes in Escherichia coli

Genome-wide gene essentiality data sets are becoming available for Escherichia coli, but these data sets have yet to be analyzed in the context of a genome scale model. Here, we present an integrative model-driven analysis of the Keio E. coli mutant collection screened in this study on glycerol-supplemented minimal medium. Out of 3,888 single-deletion mutants tested, 119 mutants were unable to grow on glycerol minimal medium. These conditionally essential genes were then evaluated using a genome scale metabolic and transcriptional-regulatory model of E. coli, and it was found that the model made the correct prediction in approximately 91% of the cases. The discrepancies between model predictions and experimental results were analyzed in detail to indicate where model improvements could be made or where the current literature lacks an explanation for the observed phenotypes. The identified set of essential genes and their model-based analysis indicates that our current understanding of the roles these essential genes play is relatively clear and complete. Furthermore, by analyzing the data set in terms of metabolic subsystems across multiple genomes, we can project which metabolic pathways are likely to play equally important roles in other organisms. Overall, this work establishes a paradigm that will drive model enhancement while simultaneously generating hypotheses that will ultimately lead to a better understanding of the organism.

Generating tetracycline-inducible auxotrophy in Escherichia coli and Salmonella enterica serovar Typhimurium by using an insertion element and a hyperactive transposase

We report the construction and application of a novel insertion element for transposase-mediated mutagenesis in gram-negative bacteria. Besides Km(r) as a selectable marker, the insertion element InsTet(G-)1 carries the anhydrotetracycline (atc)-regulated outward-directed PA promoter so that atc-dependent conditional gene knockouts or knockdowns are generated. The complex formed between the purified hyperactive transposase and InsTet(G-)1 was electroporated into Escherichia coli or Salmonella enterica serovar Typhimurium, and mutant pools were collected. We used E. coli strains with either TetR or the reverse variant revTetR(r2), while only TetR was employed in Salmonella. Screening of the InsTet(G-)1 insertion mutant pools revealed 15 atc-regulatable auxotrophic mutants for E. coli and 4 atc-regulatable auxotrophic mutants for Salmonella. We have also screened one Salmonella mutant pool in murine macrophage-like J774-A.1 cells using ampicillin enrichment. Two mutants with the InsTet(G-)1 insertion in the gene pyrE or argA survived this procedure, indicating a reduced intracellular growth rate in J774-A.1 cells. The nature of the mutants and the modes of their regulation are discussed.

When will the genomics investment pay off for antibacterial discovery?

Effective solutions to antibacterial resistance are among the key unmet medical needs driving the antibacterial industry. A major thrust in a number of companies is the development of agents with new modes of action in order to bypass the increasing emergence of antibacterial resistance. However, few antibacterials marketed in the last 30 years have novel modes of action. Most recently, genomics and target-based screening technologies have been emphasized as a means to facilitate this and expedite the antibacterial discovery process. And although no new antibacterials have yet been marketed as result of these technologies, genomics has delivered well-validated novel bacterial targets as well as a host of genetic approaches to support the antibacterial discovery process. Likewise, high throughput screening technologies have delivered the capacity to perform robust screenings of large compound collections to identify target inhibitors for lead generation. One of the principal challenges still facing antibacterial discovery is to become proficient at optimizing target inhibitors into broad-spectrum antibacterials with appropriate in vivo properties. Genomics-based technologies clearly have the potential for additional application throughout the discovery process especially in the areas of structural biology and safety assessment.

A genetic selection for supercoiling mutants of Escherichia coli reveals proteins implicated in chromosome structure

Chromosomes are divided into topologically independent regions, called domains, by the action of uncharacterized barriers. With the goal of identifying domain barrier components, we designed a genetic selection for mutants with reduced negative supercoiling of the Escherichia coli chromosome. We employed a strain that contained two chromosomally located reporter genes under the control of a supercoiling-sensitive promoter and used transposon mutagenesis to generate a wide range of mutants. We subjected the selected mutants to a series of secondary screens and identified five proteins as modulators of chromosomal supercoiling in vivo. Three of these proteins: H-NS, Fis and DksA, have clear ties to chromosome biology. The other two proteins, phosphoglucomutase (Pgm) and transketolase (TktA), are enzymes involved in carbohydrate metabolism and have not previously been shown to affect DNA. Deletion of any of the identified genes specifically affected chromosome topology, without affecting plasmid supercoiling. We suggest that at least H-NS, Fis and perhaps TktA assist directly in the supercoiling of domains by forming topological barriers on the E. coli chromosome.

Functional genomics in antibacterial drug discovery

Antibacterial drug discovery has experienced a paradigm shift from phenotypic screening for antibacterial activity to rational inhibition of preselected targets. Functional genomics techniques are implemented at various stages of the early drug discovery process and play a central role in target validation and mode of action determination. The spectrum of methods ranges from genetic manipulations (e.g. knockout studies, mutation analyses and the construction of conditional mutants) to transcriptome and proteome expression profiling. Functional genomics supports antibacterial drug discovery by improving knowledge on gene function, bacterial physiology and virulence and the effects of antibiotics on bacterial metabolism.

Scanning the Escherichia coli chromosome by random transposon mutagenesis and multiple phenotypic screening

Analysis of the complete DNA sequences of many microbial genomes available reveals a fair number of putative ORFs without an identified function. A systematic scan of the Escherichia coli chromosome was achieved by random transposition with a newly developed Tn5 minitransposon derivative carrying the arabinose-inducible araP(BAD) promoter oriented outward at one end (Tn5-araP(BAD)). The transposon insertion mutants obtained were assayed for conditional lethal phenotypes (arabinose dependence or sensitivity), for growth at two temperatures (37 and 15 degrees C) and in different media (rich and minimal medium). The Tn5-araP(BAD)-tagged genes were identified by sequencing the transposon insertion points. In this way we found a new essential gene cluster (yhbN-yhbG), produced conditional lethal (arabinose-dependent) mutations in already known essential genes (folD, frr, plsC, thiL, serS, thrS, and trpS) and provided a new phenotype (cold sensitivity) to other known genes (holD, ahpC, and tolA). Moreover, we identified eight putative ORFs (kch, ycaM, ycbQ, yddA, yddB, ydeK, ydeX, and yliF) that appear to be required in optimum growth conditions (rich medium at 37 degrees C) but not in the cold and in minimal medium.

Genome-scale identification of conditionally essential genes in E. coli by DNA microarrays

Identifying the genes required for the growth or viability of an organism under a given condition is an important step toward understanding the roles these genes play in the physiology of the organism. Currently, the combination of global transposon mutagenesis with PCR-based mapping of transposon insertion sites is the most common method for determining conditional gene essentiality. In order to accelerate the detection of essential gene products, here we test the utility and reliability of a DNA microarray technology-based method for the identification of conditionally essential genes of the bacterium, Escherichia coli, grown in rich medium under aerobic or anaerobic growth conditions using two different DNA microarray platforms. Identification and experimental verification of five hypothetical E. coli genes essential for anaerobic growth directly demonstrated the utility of the method. However, the two different DNA microarray platforms yielded largely non-overlapping results after a two standard deviations cutoff and were subjected to high false positive background levels. Thus, further methodological improvements are needed prior to the use of DNA microarrays to reliably identify conditionally essential genes on genome-scale.

Large-scale identification of essential Salmonella genes by trapping lethal insertions

A novel screening approach based on insertion-duplication mutagenesis (IDM) was established to efficiently screen for essential genes of Salmonella enterica serovar Typhimurium under laboratory conditions. Small, randomly generated genomic fragments were cloned into a conditionally replicating vector, and the resulting library of single Salmonella clones was grown under permissive conditions. Upon switching to non-permissive temperature, discrimination between lethal and non-lethal insertions following homologous recombination allowed the trapping of genes with essential functions. Further characterization of a total of 498 fragments resulting in such lethal knockout revealed 145 known essential genes and 112 functionally characterized or hypothetical genes not yet shown to encode essential genes, among them three Salmonella-specific genes. The essentiality was demonstrated for a prioritised set of 15 putative indispensable genes by creating conditional lethal phenotypes. The results of this large-scale screening indicate that in rich media, the class of Salmonella genes indispensable for growth is composed of approximately 490 genes.

Transposon-based strategies for microbial functional genomics and proteomics

Transposons are mobile genetic elements that can relocate from one genomic location to another. As well as modulating gene expression and contributing to genome plasticity and evolution, transposons are remarkably diverse molecular tools for both whole-genome and single-gene studies in bacteria, yeast, and other microorganisms. Efficient but simple in vitro transposition reactions now allow the mutational analysis of previously recalcitrant microorganisms. Transposon-based signature-tagged mutagenesis and genetic footprinting strategies have pinpointed essential genes and genes that are crucial for the infectivity of a variety of human and other pathogens. Individual proteins and protein complexes can be dissected by transposon-mediated scanning linker mutagenesis. These and other transposon-based approaches have reaffirmed the usefulness of these elements as simple yet highly effective mutagens for both functional genomic and proteomic studies of microorganisms.

Experimental determination and system level analysis of essential genes in Escherichia coli MG1655

Defining the gene products that play an essential role in an organism's functional repertoire is vital to understanding the system level organization of living cells. We used a genetic footprinting technique for a genome-wide assessment of genes required for robust aerobic growth of Escherichia coli in rich media. We identified 620 genes as essential and 3,126 genes as dispensable for growth under these conditions. Functional context analysis of these data allows individual functional assignments to be refined. Evolutionary context analysis demonstrates a significant tendency of essential E. coli genes to be preserved throughout the bacterial kingdom. Projection of these data over metabolic subsystems reveals topologic modules with essential and evolutionarily preserved enzymes with reduced capacity for error tolerance.

Microbial pathogen genomes - new strategies for identifying therapeutic and vaccine targets

Efficient mining of genomic sequence information from multiple pathogens for therapeutic and vaccine targets requires efficient tools. Fortunately, robust methods applicable to whole genomes have been developed and applied in the past few years to identify genes essential for growth or virulence and to detect potential vaccine targets. Successful approaches to identify potential therapeutic targets include a variety of ingenious uses of nearly random transposon insertions, more directed methods such as antisense and insertion-duplication mutagenesis, and expression profiling facilitated by microarrays. Vaccine targets have been identified by gene fusion and expression experiments to discover gene products that are immunogenic in humans or animal models. All genome-wide methods require focused secondary assays to validate the findings, but these genomic methods excel at reducing to a manageable number the genes to be examined further. This editorial reviews the latest developments in genome-wide target identification tools.

Genetic strategies for antibacterial drug discovery

The availability of genome sequences is revolutionizing the field of microbiology. Genetic methods are being modified to facilitate rapid analysis at a genome-wide level and are blossoming for human pathogens that were previously considered intractable. This revolution coincided with a growing concern about the emergence of microbial drug resistance, compelling the pharmaceutical industry to search for new antimicrobial agents. The availability of the new technologies, combined with many genetic strategies, has changed the way that researchers approach antibacterial drug discovery.

Chromosomal deletion formation system based on Tn5 double transposition: use for making minimal genomes and essential gene analysis

In this communication, we describe the use of specialized transposons (Tn5 derivatives) to create deletions in the Escherichia coli K-12 chromosome. These transposons are essentially rearranged composite transposons that have been assembled to promote the use of the internal transposon ends, resulting in intramolecular transposition events. Two similar transposons were developed. The first deletion transposon was utilized to create a consecutive set of deletions in the E. coli chromosome. The deletion procedure has been repeated 20 serial times to reduce the genome an average of 200 kb (averaging 10 kb per deletion). The second deletion transposon contains a conditional origin of replication that allows deleted chromosomal DNA to be captured as a complementary plasmid. By plating cells on media that do not support plasmid replication, the deleted chromosomal material is lost and if it is essential, the cells do not survive. This methodology was used to analyze 15 chromosomal regions and more than 100 open reading frames (ORFs). This provides a robust technology for identifying essential and dispensable genes.

Isolation of antibiotic hypersusceptibility mutants of Acinetobacter spp. by selection for DNA release

Isolation of bacterial mutants hypersusceptible to antibiotics can reveal novel targets for antibiotic potentiators. However, identification of such mutants is a difficult task which normally requires laborious replica plating of thousands of colonies. The technique proposed here allows for the positive selection of genetic knockout mutants leading to hypersusceptibility. This technique, designated SDR (selection for DNA release), involves introduction of random insertions of a marker gene into the chromosome of a highly transformable bacterial species, followed by treatment of the obtained library with an antibiotic at subinhibitory concentrations. DNA released by lysing bacteria is collected and used to transform fresh bacteria, selecting for insertion of the marker gene. These selection cycles are repeated until variants with a hypersusceptibility phenotype caused by insertion of the marker begin to dominate in the library. This approach allowed for isolation of a number of mutants of the gram-negative opportunistic pathogen Acinetobacter sp. susceptible to 4- to 16-times-lower concentrations of ampicillin than wild-type bacteria. The mutations affected proteins involved in peptidoglycan turnover and, surprisingly, proteins involved in exopolysaccharide production. A further modification of the SDR technique is described which allows for selecting mutants hypersensitive to agents that affect bacterial physiology but do not cause cell lysis, e.g., inhibitors of translation. This application of SDR is illustrated here by identification of several mutants of Acinetobacter sp. with increased susceptibility (two- to fivefold decrease in the MIC) to erythromycin. The same technique can be used to identify prospective targets for potentiators of many other antibacterial agents.

Identifying essential genes in fungal pathogens of humans

Opportunistic fungal pathogens are an important cause of fatal invasive diseases and one of the many threats facing immunocompromised patients. Because of the limitations of the antifungal therapies currently available such as their toxicity, their narrow spectrum and the emergence of resistant pathogens, there is a significant demand for a broader antifungal arsenal. The characterization of genes essential for fungal growth will be an important step in the identification and development of novel antifungal drugs. Original strategies and new technologies including in vivo or in vitro transposon mutagenesis and post-transcriptional gene silencing are being developed for genome-scale identification of essential genes in fungal species that are pathogenic to humans.

From genetic footprinting to antimicrobial drug targets: examples in cofactor biosynthetic pathways

Novel drug targets are required in order to design new defenses against antibiotic-resistant pathogens. Comparative genomics provides new opportunities for finding optimal targets among previously unexplored cellular functions, based on an understanding of related biological processes in bacterial pathogens and their hosts. We describe an integrated approach to identification and prioritization of broad-spectrum drug targets. Our strategy is based on genetic footprinting in Escherichia coli followed by metabolic context analysis of essential gene orthologs in various species. Genes required for viability of E. coli in rich medium were identified on a whole-genome scale using the genetic footprinting technique. Potential target pathways were deduced from these data and compared with a panel of representative bacterial pathogens by using metabolic reconstructions from genomic data. Conserved and indispensable functions revealed by this analysis potentially represent broad-spectrum antibacterial targets. Further target prioritization involves comparison of the corresponding pathways and individual functions between pathogens and the human host. The most promising targets are validated by direct knockouts in model pathogens. The efficacy of this approach is illustrated using examples from metabolism of adenylate cofactors NAD(P), coenzyme A, and flavin adenine dinucleotide. Several drug targets within these pathways, including three distantly related adenylyltransferases (orthologs of the E. coli genes nadD, coaD, and ribF), are discussed in detail.

Selection analyses of insertional mutants using subgenic-resolution arrays

We describe a method of genome-wide analysis of quantitative growth phenotypes using insertional mutagenesis and DNA microarrays. We applied the method to assess the fitness contributions of Escherichia coli gene domains under specific growth conditions. A transposon library was subjected to competitive growth selection in Luria-Bertani (LB) and in glucose minimal media. Transposon-containing genomic DNA fragments from the selected libraries were compared with the initial unselected transposon insertion library on DNA microarrays to identify insertions that affect fitness. Genes involved in the biosynthesis of nutrients not provided in the growth medium were found to be significantly enriched in the set of genes containing negatively selected insertions. The data also identify fitness contributions of several uncharacterized genes, including putative transcriptional regulators and enzymes. The applicability of this high-resolution array selection in other species is discussed.