47 research outputs found

    PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes

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    <p>Abstract</p> <p>Background</p> <p>The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved. Although some tools are available for visualizing and comparing the order of genes between genomes of study, few support an efficient and organized analysis between large numbers of genomes. The Prokaryotic Sequence homology Analysis Tool (PSAT) is a web tool for comparing gene neighborhoods among multiple prokaryotic genomes.</p> <p>Results</p> <p>PSAT utilizes a database that is preloaded with gene annotation, BLAST hit results, and gene-clustering scores designed to help identify regions of conserved gene order. Researchers use the PSAT web interface to find a gene of interest in a reference genome and efficiently retrieve the sequence homologs found in other bacterial genomes. The tool generates a graphic of the genomic neighborhood surrounding the selected gene and the corresponding regions for its homologs in each comparison genome. Homologs in each region are color coded to assist users with analyzing gene order among various genomes. In contrast to common comparative analysis methods that filter sequence homolog data based on alignment score cutoffs, PSAT leverages gene context information for homologs, including those with weak alignment scores, enabling a more sensitive analysis. Features for constraining or ordering results are designed to help researchers browse results from large numbers of comparison genomes in an organized manner. PSAT has been demonstrated to be useful for helping to identify gene orthologs and potential functional gene clusters, and detecting genome modifications that may result in loss of function.</p> <p>Conclusion</p> <p>PSAT allows researchers to investigate the order of genes within local genomic neighborhoods of multiple genomes. A PSAT web server for public use is available for performing analyses on a growing set of reference genomes through any web browser with no client side software setup or installation required. Source code is freely available to researchers interested in setting up a local version of PSAT for analysis of genomes not available through the public server. Access to the public web server and instructions for obtaining source code can be found at <url>http://www.nwrce.org/psat</url>.</p

    A Francisella Mutant in Lipid A Carbohydrate Modification Elicits Protective Immunity

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    Francisella tularensis (Ft) is a highly infectious Gram-negative bacterium and the causative agent of the human disease tularemia. Ft is designated a class A select agent by the Centers for Disease Control and Prevention. Human clinical isolates of Ft produce lipid A of similar structure to Ft subspecies novicida (Fn), a pathogen of mice. We identified three enzymes required for Fn lipid A carbohydrate modifications, specifically the presence of mannose (flmF1), galactosamine (flmF2), or both carbohydrates (flmK). Mutants lacking either galactosamine (flmF2) or galactosamine/mannose (flmK) addition to their lipid A were attenuated in mice by both pulmonary and subcutaneous routes of infection. In addition, aerosolization of the mutants (flmF2 and flmK) provided protection against challenge with wild-type (WT) Fn, whereas subcutaneous administration of only the flmK mutant provided protection from challenge with WT Fn. Furthermore, infection of an alveolar macrophage cell line by the flmK mutant induced higher levels of tumor necrosis factor-α (TNF-α) and macrophage inhibitory protein-2 (MIP-2) when compared to infection with WT Fn. Bone marrow–derived macrophages (BMMø) from Toll-like receptor 4 (TLR4) and TLR2/4 knockout mice infected with the flmK mutant also produced significantly higher amounts of interleukin-6 (IL-6) and MIP-2 than BMMø infected with WT Fn. However, production of IL-6 and MIP-2 was undetectable in BMMø from MyD88−/− mice infected with either strain. MyD88−/− mice were also susceptible to flmK mutant infection. We hypothesize that the ability of the flmK mutant to activate pro-inflammatory cytokine/chemokine production and innate immune responses mediated by the MyD88 signaling pathway may be responsible for its attenuation, leading to the induction of protective immunity by this mutant

    Evolution of Burkholderia pseudomallei in Recurrent Melioidosis

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    Burkholderia pseudomallei, the etiologic agent of human melioidosis, is capable of causing severe acute infection with overwhelming septicemia leading to death. A high rate of recurrent disease occurs in adult patients, most often due to recrudescence of the initial infecting strain. Pathogen persistence and evolution during such relapsing infections are not well understood. Bacterial cells present in the primary inoculum and in late infections may differ greatly, as has been observed in chronic disease, or they may be genetically similar. To test these alternative models, we conducted whole-genome comparisons of clonal primary and relapse B. pseudomallei isolates recovered six months to six years apart from four adult Thai patients. We found differences within each of the four pairs, and some, including a 330 Kb deletion, affected substantial portions of the genome. Many of the changes were associated with increased antibiotic resistance. We also found evidence of positive selection for deleterious mutations in a TetR family transcriptional regulator from a set of 107 additional B. pseudomallei strains. As part of the study, we sequenced to base-pair accuracy the genome of B. pseudomallei strain 1026b, the model used for genetic studies of B. pseudomallei pathogenesis and antibiotic resistance. Our findings provide new insights into pathogen evolution during long-term infections and have important implications for the development of intervention strategies to combat recurrent melioidosis

    Burkholderia thailandensis as a Model System for the Study of the Virulence-Associated Type III Secretion System of Burkholderia pseudomallei▿

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    Burkholderia pseudomallei is a bacterial pathogen that causes a broad spectrum of clinical symptoms collectively known as melioidosis. Since it can be acquired by inhalation and is difficult to eradicate due to its resistance to a wide group of antibiotics and capacity for latency, work with B. pseudomallei requires a biosafety level 3 (BSL-3) containment facility. The bsa (Burkholderia secretion apparatus)-encoded type III secretion system (TTSS) has been shown to be required for its full virulence in a number of animal models. TTSSs are export devices found in a variety of gram-negative bacteria that translocate bacterial effector proteins across host cell membranes into the cytoplasm of host cells. Although the Bsa TTSS has been shown to play an important role in the ability of B. pseudomallei to survive and replicate in mammalian cells, escape from the endocytic vacuole, and spread from cell to cell, little is known about its effectors mediating these functions. Using bioinformatics, we identified homologs of several known TTSS effectors from other bacteria in the B. pseudomallei genome. In addition, we show that orthologs of these putative effectors exist in the genome of B. thailandensis, a closely related bacterium that is rarely pathogenic to humans. By generating a Bsa TTSS mutant B. thailandensis strain, we also demonstrated that the Bsa TTSS has similar functions in the two species. Therefore, we propose B. thailandensis as a useful BSL-1 model system to study the role of the Bsa TTSS during Burkholderia infection of mammalian cells and animals

    PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes-1

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    , , , and ). The PSAT graphic demonstrated that genes in this operon are missing in subspecies SchuS4 suggesting that leucine biosynthesis may be impaired in this strain of the bacteria.<p><b>Copyright information:</b></p><p>Taken from "PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes"</p><p>http://www.biomedcentral.com/1471-2105/9/170</p><p>BMC Bioinformatics 2008;9():170-170.</p><p>Published online 26 Mar 2008</p><p>PMCID:PMC2358893.</p><p></p

    PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes-0

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    PSAT genomic neighborhood browser, however, highlighted a gene cluster between U112 and genomes from genera such as and . The conserved order of the homologs provided secondary evidence that the genes in this cluster are orthologs.<p><b>Copyright information:</b></p><p>Taken from "PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes"</p><p>http://www.biomedcentral.com/1471-2105/9/170</p><p>BMC Bioinformatics 2008;9():170-170.</p><p>Published online 26 Mar 2008</p><p>PMCID:PMC2358893.</p><p></p

    Genome-Wide Screen in Francisella novicida for Genes Required for Pulmonary and Systemic Infection in Mice ▿

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    Francisella tularensis is a gram-negative, highly infectious, aerosolizable facultative intracellular pathogen that causes the potentially life-threatening disease tularemia. To date there is no approved vaccine available, and little is known about the molecular mechanisms important for infection, survival, and dissemination at different times of infection. We report the first whole-genome screen using an inhalation mouse model to monitor infection in the lung and dissemination to the liver and spleen. We queried a comprehensive library of 2,998 sequence-defined transposon insertion mutants in Francisella novicida strain U112 using a microarray-based negative-selection screen. We were able to track the behavior of 1,029 annotated genes, equivalent to a detection rate of 75% and corresponding to ∼57% of the entire F. novicida genome. As expected, most transposon mutants retained the ability to colonize, but 125 candidate virulence genes (12%) could not be detected in at least one of the three organs. They fell into a variety of functional categories, with one-third having no annotated function and a statistically significant enrichment of genes involved in transcription. Based on the observation that behavior during complex pool infections correlated with the degree of attenuation during single-strain infection we identified nine genes expected to strongly contribute to infection. These included two genes, those for ATP synthase C (FTN_1645) and thioredoxin (FTN_1415), that when mutated allowed increased host survival and conferred protection in vaccination experiments
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