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Genomic approaches to antibacterial discovery.

This chapter describes two key strategies for the discovery of new antibacterial agents and illustrates the critical role played by genomics in each. The first approach is genomic target-based screening. Comparative genomics and bioinformatics are used to identify novel, selective antibacterial targets of the appropriate antibacterial spectrum. Genetic technologies integral for the success of this approach, such as essentiality testing, are also described. An unprecedented number of novel targets have been discovered via this approach, and a plethora of examples are discussed. This section concludes with the case history of a target successfully progressed from identification by genomics, to high-throughput screening, and onto proof of concept in curing experimental infections. The second approach is based on screening for compounds with antibacterial activity and then employing a broad variety of newer technologies to identify the molecular target of the antibacterial agent. The advantage of this approach is that compounds already possess antibacterial activity, which is a property often challenging to engineer into molecules obtained from enzyme-based screening approaches. The recent development of novel biochemical and genomic technologies that facilitate identification and characterization of the mode of action of these agents has made this approach as attractive as the genomic target-based screening strategy.

Anti-Bacterial Agents↗

Emerging infectious diseases: vulnerabilities, contributing factors and approaches.

We live in an ever more connected global village linked through international travel, politics, economics, culture and human-human and human-animal interactions. The realization that the concept of globalization includes global exposure to disease-causing agents that were formerly confined to small, remote areas and that infectious disease outbreaks can have political, economic and social roots and effects is becoming more apparent. Novel infectious disease microbes continue to be discovered because they are new or newly recognized, have expanded their geographic range, have been shown to cause a new disease spectrum, have jumped the species barrier from animals to humans, have become resistant to antimicrobial agents, have increased in incidence or have become more virulent. These emerging infectious disease microbes may have the potential for use as agents of bioterrorism. Factors involved in the emergence of infectious diseases are complex and interrelated and involve all classifications of organisms transmitted in a variety of ways. In 2003, outbreaks of interest included severe acute respiratory syndrome, monkeypox and avian influenza. Information from the human genome project applied to microbial organisms and their hosts will provide new opportunities for detection, diagnosis, treatment, prevention, control and prognosis. New technology related not only to genetics but also to satellite and monitoring systems will play a role in weather, climate and the approach to environmental manipulations that influence factors contributing to infectious disease emergence and control. Approaches to combating emerging infectious diseases include many disciplines, such as animal studies, epidemiology, immunology, ecology, environmental studies, microbiology, pharmacology, other sciences, health, medicine, public health, nursing, cultural, political and social studies, all of which must work together. Appropriate financial support of the public health infrastructure including surveillance, prevention, communication, adherence techniques and the like will be needed to support efforts to address emerging infectious disease threats.

Climate↗

PathoGene: a pathogen coding sequence discovery and analysis resource.

PathoGene is a web-based resource that streamlines the process of predicting genes in microorganisms and designs PCR primers for amplification to facilitate sequence analysis and experimentation. PathoGene currently supports primer design for every complete microbial, viral, and fungal genome as cataloged in GenBank by the National Center for Biotechnology Information (NCBI; http://www.ncbi.nlm.nih.gov/). The resulting primers can then be subjected to a stand-alone Basic Local Alignment Search Tool (BLAST) system called PathoBLAST in which the predicted PCR product and/or primers can be compared against the genome of interest or a similar genome to find related genes or estimate primer quality.

Bacillus anthracis↗

Streptomyces songxianensis sp. nov. SX92T: biocontrol of tobacco black shank and modulation of the rhizosphere microbiome.

Streptomyces species are well-known for their potential in biocontrol and plant growth promotion, with the rhizosphere serving a rich reservoir for novel isolates. In this study, a Streptomyces strain (SX92T) was isolated from the rhizosphere of healthy tobacco plants. In dual-culture assays, SX92T displayed broad-spectrum antagonistic activity against six major fungal pathogens of tobacco, with the highest inhibition (59.22%) against Phytophthora nicotianae, the causal agent of tobacco black shank. Polyphasic taxonomic characterization, combining 16S rRNA gene phylogeny, distinctive physiological traits, chemotaxonomic markers (LL-diaminopimelic acid, major menaquinones MK-10(H₄) and MK-9(H₈), and predominant fatty acids anteiso-C₁₅:₀ and C₁₆:₀), and genome-based metrics (ANI and dDDH), clearly distinguished SX92T from its closest relatives. Accordingly, strain SX92T is proposed as the type strain of a novel species, Streptomyces songxianensis sp. nov. The genome of SX92T is 9.69 Mb in size with a G + C content of 71% and contains 26 biosynthetic gene clusters, including one showing 100% similarity to the albaflavenone cluster. In field trials, application of SX92T fermentation broth significantly improved tobacco agronomic traits and reduced black shank incidence by 44.97%. Furthermore, SX92T treatment reshaped the rhizosphere microbiome by enriching beneficial bacteria such as Flavobacterium and altering the relative abundance of specific fungi, including a reduction in the arbuscular mycorrhizal fungus Rhizophagus irregularis. It also shifted soil enzyme activities, with increased cellulase and decreased catalase levels. These findings establish Streptomyces songxianensis SX92T as a promising multifunctional biocontrol agent for sustainable tobacco production.

Streptomyces↗

[Microorganisms and man. Various characteristics of their coexistence at present].

Modern data of literature on microbial associations and their role in human health and diseases are presented. As pointed out in this work, the characteristic feature of the XX century is the emergence and the re-emergence of 36 new infections. The emergence of many infections is associated with such factors as the increased migration of the population, ecological environmental disasters, etc. Grounds for a new view on the etiology of a number of chronic somatic diseases are given. The task of preparation development for the immunoprophylaxis of 25-30 infections has been set by WHO as its target for the year 2025. Prospects of new approaches to the development of new generation vaccines against bacterial, viral and parasitic infections, including HIV/AIDS, tuberculosis, virus hepatitides, malaria, etc., are shown.

Animals↗

Human antibodies to dengue and yellow fever do not react in diagnostic assays for hepatitis C virus.

Hepatitis C virus (HCV) is a recently described causative agent of the great majority of post-transfusion non A-non B hepatitis and is classified within the Flaviviridae family. Due to a high prevalence of anti-HCV and other flaviviruses circulating in Brazil, such as dengue and yellow fever, we investigated the possibility of serological cross-reactivity between these viruses. Different panels of human sera positive for dengue type 1 (9 cases) and type 2 (7 cases) from 6 patients naturally infected with yellow fever and from 94 adults vaccinated against the 17D strain of yellow fever were tested against HCV antigens used in diagnostic assays. Two enzyme immunoassay systems were tested: one, an in-house test using recombinant antigens from core, NS3 and NS5 regions of the HCV genome (Research Foundation for Microbial Disease of Osaka University, Japan); and another, using synthetic peptides representing immunodominant epitopes of structural core and non-structural NS4 and NS5 HCV regions (INNOTEST HCV Ab, Innogenetics, Belgium). A line immunoassay (INNO-LIA HCV Ab, Innogenetics, Belgium) was used as a confirmatory test. In this, HCV antigens are coated as discrete lines on a nylon strip with plastic backing. Besides 4 control lines on each strip, a total of 6 HCV lines are present: line A consists of several NS4 epitopes, line B consists of several NS5 epitopes and lines C-F contain several core epitopes. This test not only confirms but differentiates antibodies to hepatitis C virus. No positive results were detected with these tests, indicating that hepatitis C infection can be evaluated by current assays in regions where flaviviruses are endemic.

Antibodies, Viral↗

[Formation of M. hominis and A. laidlawii resistance to fluoroquinolones].

Mycoplasma hominis and Acholeplasma laidlawii cultures resistant to antibacterial fluoroquinolone drugs ciprofloxacin (Cpf), ofloxacin (Ofl), and lomefloxacin (Lmf) were prepared by selection in liquid nutrient medium with ascending concentrations of Cpf. Resistant mycoplasma clones contained point mutations in the gyrase. A gene region determining quinolone resistance (QRDR gyrA): M. hominis contained C-->T transition resulting in substitution of Ser(83) for Leu and A. laidlawii G-->A resulting in substitution of Asp (91) for Asn. The phenomena of mutation formation during mycoplasma culturing in the presence of fluoroquinolones is studied. In the presence of Cpf in culture medium in concentrations of up to 10 micrograms/ml (for M. hominis) and 1 microgram/ml (for A. laidlawii) the mycoplasma populations contained cells with both altered and wild genotype. Culturing in the presence of higher Cpf concentrations resulted in elimination of cells nonmutant for QRDR gyrA. Besides in vitro studies, we analyzed clinical strains of M. hominis in the presence of different Cpf concentrations. M. hominis clones resistant to Cpf varying in genotypes were detected. These data permit a conclusion that the mechanism of fluoroquinolone resistance formation in mycoplasma includes several stages.

Acholeplasma laidlawii↗

Towards a genome-based taxonomy for prokaryotes.

The ranks higher than the species in the prokaryotic taxonomy are primarily designated based on phylogenetic analysis of the 16S rRNA gene sequences, but no definite standards exist for the absolute relatedness (measured by 16S rRNA or other means) between the ranks. Accordingly, it remains unknown how comparable the ranks are between different organisms. To gain insights into this question, we studied the relationship between shared gene content and genetic relatedness for 175 fully sequenced strains, using as a robust measure of relatedness the average amino acid identity (AAI) of the shared genes. Our results reveal that adjacent ranks (e.g., phylum versus class) frequently show extensive overlap in terms of genetic and gene content relatedness of the grouped organisms, and hence, the current system is of limited predictive power in this respect. The overlap between nonadjacent ranks (e.g., phylum versus family) is generally limited and attributable to clear inconsistencies of the taxonomy. In addition to providing means for standardizing taxonomy, our AAI-based approach provides a means to evaluate the robustness of alternative genetic markers for phylogenetic purposes. For instance, the 23S rRNA gene was found to be as good a marker as the 16S rRNA gene, while several of the widely distributed protein-coding genes, such as the RNA polymerase and gyrase subunits, show a strong phylogenetic signal, albeit less strong than the rRNA genes (0.78 > R2 > 0.69 for the protein-coding genes versus R2 = 0.84 for the rRNA genes). The AAI approach outlined here could contribute significantly to a genome-based taxonomy for all microbial organisms.

Amino Acid Sequence↗

Proteogenomic approaches for the molecular characterization of natural microbial communities.

At the present time we know little about how microbial communities function in their natural habitats. For example, how do microorganisms interact with each other and their physical and chemical surroundings and respond to environmental perturbations? We might begin to answer these questions if we could monitor the ways in which metabolic roles are partitioned amongst members as microbial communities assemble, determine how resources such as carbon, nitrogen, and energy are allocated into metabolic pathways, and understand the mechanisms by which organisms and communities respond to changes in their surroundings. Because many organisms cannot be cultivated, and given that the metabolisms of those growing in monoculture are likely to differ from those of organisms growing as part of consortia, it is vital to develop methods to study microbial communities in situ. Chemoautotrophic biofilms growing in mine tunnels hundreds of meters underground drive pyrite (FeS(2)) dissolution and acid and metal release, creating habitats that select for a small number of organism types. The geochemical and microbial simplicity of these systems, the significant biomass, and clearly defined biological-inorganic feedbacks make these ecosystem microcosms ideal for development of methods for the study of uncultivated microbial consortia. Our approach begins with the acquisition of genomic data from biofilms that are sampled over time and in different growth conditions. We have demonstrated that it is possible to assemble shotgun sequence data to reveal the gene complement of the dominant community members and to use these data to confidently identify a significant fraction of proteins from the dominant organisms by mass spectrometry (MS)-based proteomics. However, there are technical obstacles currently restricting this type of "proteogenomic" analysis. Composite genomic sequences assembled from environmental data from natural microbial communities do not capture the full range of genetic potential of the associated populations. Thus, it is necessary to develop bioinformatics approaches to generate relatively comprehensive gene inventories for each organism type. These inventories are critical for expression and functional analyses. In proteomic studies, for example, peptides that differ from those predicted from gene sequences can be measured, but they generally cannot be identified by database matching, even if the difference is only a single amino acid residue. Furthermore, many of the identified proteins have no known function. We propose that these challenges can be addressed by development of proteogenomic, biochemical, and geochemical methods that will be initially deployed in a simple, natural model ecosystem. The resulting approach should be broadly applicable and will enhance the utility and significance of genomic data from isolates and consortia for study of organisms in many habitats. Solutions draining pyrite-rich deposits are referred to as acid mine drainage (AMD). AMD is a very prevalent, international environmental problem associated with energy and metal resources. The biological-mineralogical interactions that define these systems can be harnessed for energy-efficient metal recovery and removal of sulfur from coal. The detailed understanding of microbial ecology and ecosystem dynamics resulting from the proposed work will provide a scientific foundation for dealing with the environmental challenges and technological opportunities, and yield new methods for analysis of more complex natural communities.

Ecosystem↗

Relationship of the glyoxylate pathway to the pathogenesis of Cryptococcus neoformans.

Functional genomics has become a major focus in the study of microbial pathogenesis. This study used a functional genomic tool, differential display reverse transcription-PCR, to identify a transcriptional profile of Cryptococcus neoformans cells as they produced meningitis in an immunosuppressed host. This serial global gene expression during infection allowed for the identification of up- and down-regulated genes during infection. During this profiling, a single gene for the enzyme isocitrate lyase (ICL1) was found to be up regulated at 1 week of infection in a rabbit meningitis model and during a time of maximum host cellular response. The finding suggested that this enzyme and the glyoxylate shunt pathway are important to this yeast's energy production during infection. However, site-directed icl1 mutants had no apparent virulence defect in two animal models and no growth defect within macrophages. These observations suggest that although the yeast responded to a certain environmental cue(s) by an increase in ICL1 expression during infection, this gene was not necessary for progression of a C. neoformans infection. Compounds that specifically target only ICL1 are unlikely to cripple C. neoformans growth in vivo.

Amino Acid Sequence↗

Microbial diversity and function in soil: from genes to ecosystems.

Soils sustain an immense diversity of microbes, which, to a large extent, remains unexplored. A range of novel methods, most of which are based on rRNA and rDNA analyses, have uncovered part of the soil microbial diversity. The next step in the era of microbial ecology is to extract genomic, evolutionary and functional information from bacterial artificial chromosome libraries of the soil community genomes (the metagenome). Sophisticated analyses that apply molecular phylogenetics, DNA microarrays, functional genomics and in situ activity measurements will provide huge amounts of new data, potentially increasing our understanding of the structure and function of soil microbial ecosystems, and the interactions that occur within them. This review summarizes the recent progress in studies of soil microbial communities with focus on novel methods and approaches that provide new insight into the relationship between phylogenetic and functional diversity.

Bacteria↗

Functional annotation of putative aminoglycoside antibiotic modifying proteins in Mycobacterium tuberculosis H37Rv.

The growing availability of sequences of bacterial genomes has revealed a number of open reading frames predicted by sequence alignment to encode antibiotic resistance proteins. The presence of these putative resistance genes within bacterial genomes raises important questions regarding potential reservoirs of resistance elements and their evolution. Here we examine four gene products encoding predicted aminoglycoside-aminocyclitol antibiotic modifying enzymes, two phosphotransferases and two acetyltransferases, derived from analysis of the genome sequence of Mycobacterium tuberculosis strain H37Rv with the goal of assigning biochemical function by purification of each protein and characterization of their ability to modify aminoglycoside antibiotics. Only one of these enzymes, the previously characterized aminoglycoside acetyltransferase AAC(2')-Ic, displayed compelling aminoglycoside modifying activity. While the putative phosphotransferase encoded by the Rv3225c gene did display low levels of aminoglycoside kinase activity, the predicted kinase encoded by the Rv3817 gene lacked any such activity. A potential aminoglycoside 6'-acetyltransferase, encoded by the Rv1347c gene, did not show antibiotic acylation activity but did demonstrate selective thioesterase activity with numerous acyl-CoAs. This activity, together with the genomic environment of the Rv1347c gene in a likely polyketide synthesis cluster, suggests a role for this protein in secondary metabolism and not in antibiotic modification. It was thus shown that only one of four putative aminoglycosides modifying enzymes derived from the whole genome sequencing of M. tuberculosis H37Rv showed sufficient predicted enzyme activity to be annotated as an aminoglycoside resistance element. This study demonstrates the necessity of biochemical annotation methods as a follow up to in silico sequence alignment-based methods of assigning gene product function.

Acetyltransferases↗

Probing the molecular physiology of the microbial organism, Escherichia coli using proteomics.

Genomics and proteomics technologies have yielded volumes of data for more than 20 years, and they continues to produce data at an astounding rate. Has all of this data helped us understand more about life, or it is just bogging us down in details that cannot be assembled into meaningful ideas? This review of the proteomics efforts over the last couple of decades is meant to emphasize that a new scientific discipline has emerged, Molecular Physiology, and that, indeed, this discipline is contributing to our understanding of life. Molecular physiology offers the reductionisms details of individual cellular molecules and offers the systems biology multivariant and high-dimensional datasets of cellular molecules.

Bacterial Proteins↗

In silico genome mining and characterization of putative horse feces-derived bacterial phytases as potential monogastric animal feed additive candidates.

Phytic acid exerts a significant antinutritional effect in poultry, swine, and fish, which can be mitigated by supplementing monogastric feeds with efficient microbial phytases. Accordingly, mining bacterial genomes for novel phytases represents a strategic computational approach to identifying candidates for improving monogastric animal nutrition. In this study, 162 bacterial genomes associated with horse feces were systematically mined using an in silico pipeline to identify and characterize putative phytases.A total of 69 non-redundant sequences were identified and classified as histidine acid phytase (HAPhy) or protein tyrosine phosphatase-like phytase (PTPLPhy). HAPhys were detected in the genomes of Escherichia coli, Klebsiella pneumoniae, Salmonella enterica, Acinetobacter baumannii, and Cutibacterium equinum, whereas PTPLPhys were found in K. pneumoniae, Limosilactobacillus reuteri, Pediococcus acidilactici, Bifidobacterium pseudolongum, and Prescottella equi. Principal component analysis identified glucose-1-phosphatase (CAJ1242485.1) and bifunctional acid phosphatase (NHR17779.1) as the HAPhy candidates exhibiting the most favorable predicted physicochemical properties for potential feed applications. Similarly, among the PTPLPhys, protein tyrosine phosphatase (UNQ40438.1) and a hypothetical protein (CAJ1246072.1) showed the most favorable computational profiles. Biosafety analysis identified potential virulence factors, indicating that sources should be screened prior to feed application. High-quality AlphaFold2 models were obtained for these phytases (90.9-97.2). Molecular docking analysis showed that NHR17779.1 exhibited the strongest binding to phytic acid, whereas CAJ1246072.1 demonstrated the weakest interaction. Overall, this study identifies the horse fecal microbiota as a diverse source of putative phytases that may serve as promising targets for genetic and protein engineering; however, further in vitro and in vivo studies are essential to validate the enzymatic activity and industrial efficacy of these computational candidates.

Bacterial phytase↗

Analysis of sequence-tagged-connector strategies for DNA sequencing.

The BAC-end sequencing, or sequence-tagged-connector (STC), approach to genome sequencing involves sequencing the ends of BAC inserts to scatter sequence tags (STCs) randomly across the genome. Once any BAC or other large segment of DNA is sequenced to completion by conventional shotgun approaches, these STC tags can be used to identify a minimum tiling path of BAC clones overlapping the nucleation sequence for sequence extension. Here, we explore the properties of STC-sequencing strategies within a mathematical model of a random target with homologous repeats and imperfect sequencing technology to understand the consequences of varying various parameters on the incidence of problem clones and the cost of the sequencing project. Problem clones are defined as clones for which either (A) there is no identifiable overlapping STC to extend the sequence in a particular direction or (B) the identified STC with minimum overlap comes from a nonoverlapping clone, either owing to random false matches or repeat-family homology. Based on the minimum overlap, we estimate the number of clones to be entirely sequenced and, then, using cost estimates, identify the decision rule (the degree of sequence similarity required before a match is declared between an STC and a clone) to minimize overall sequencing cost. A method to optimize the overlap decision rule is highly desirable, because both the total cost and the number of problem clones are shown to be highly sensitive to this choice. For a target of 3 Gb containing approximately 800 Mb of repeats with 85%-90% identity, we expect <10 problem clones with 15 times coverage by 150-kb clones. We derive the optimal redundancy and insert sizes of clone libraries for sequencing genomes of various sizes, from microbial to human. We estimate that establishing the resource of STCs as a means of identifying minimally overlapping clones represents only 1%-3% of the total cost of sequencing the human genome, and, up to a point of diminishing returns, a larger STC resource is associated with a smaller total sequencing cost.

Genome, Human↗

Characterization of uncultivated prokaryotes: isolation and analysis of a 40-kilobase-pair genome fragment from a planktonic marine archaeon.

One potential approach for characterizing uncultivated prokaryotes from natural assemblages involves genomic analysis of DNA fragments retrieved directly from naturally occurring microbial biomass. In this study, we sought to isolate large genomic fragments from a widely distributed and relatively abundant but as yet uncultivated group of prokaryotes, the planktonic marine Archaea. A fosmid DNA library was prepared from a marine picoplankton assemblage collected at a depth of 200 m in the eastern North Pacific. We identified a 38.5-kbp recombinant fosmid clone which contained an archaeal small subunit ribosomal DNA gene. Phylogenetic analyses of the small subunit rRNA sequence demonstrated it close relationship to that of previously described planktonic archaea, which form a coherent group rooted deeply within the Crenarchaeota branch of the domain Archaea. Random shotgun sequencing of subcloned fragments of the archaeal fosmid clone revealed several genes which bore highest similarity to archaeal homologs, including large subunit ribosomal DNA and translation elongation factor 2 (EF2). Analyses of the inferred amino acid sequence of archaeoplankton EF2 supported its affiliation with the Crenarchaeote subdivision of Archaea. Two gene fragments encoding proteins not previously found in Archaea were also identified: RNA helicase, responsible for the ATP-dependent alteration of RNA secondary structure, and glutamate semialdehyde aminotransferase, an enzyme involved in initial steps of heme biosynthesis. In total, our results indicate that genomic analysis of large DNA fragments retrieved from mixed microbial assemblages can provide useful perspective on the physiological potential of abundant but as yet uncultivated prokaryotes.

Amino Acid Sequence↗

Opinion: Re-evaluating prokaryotic species.

There is no widely accepted concept of species for prokaryotes, and assignment of isolates to species is based on measures of phenotypic or genome similarity. The current methods for defining prokaryotic species are inadequate and incapable of keeping pace with the levels of diversity that are being uncovered in nature. Prokaryotic taxonomy is being influenced by advances in microbial population genetics, ecology and genomics, and by the ease with which sequence data can be obtained. Here, we review the classical approaches to prokaryotic species definition and discuss the current and future impact of multilocus nucleotide-sequence-based approaches to prokaryotic systematics. We also consider the potential, and difficulties, of assigning species status to biologically or ecologically meaningful sequence clusters.

Bacteria↗