7 research outputs found

    Gammaherpesvirus modulation of mouse adenovirus type 1 pathogenesis

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    AbstractImmune function is likely to be shaped by multiple infections over time. Infection with one pathogen can confer cross-protection against heterologous pathogens. We tested the hypothesis that latent murine gammaherpesvirus 68 (γHV68) infection modulates host inflammatory responses and susceptibility to mouse adenovirus type 1 (MAV-1). Mice were infected intranasally (i.n.) with γHV68. 21 days later, they were infected i.n. with MAV-1. We assessed cytokine and chemokine expression by quantitative reverse transcriptase real-time PCR, cellular inflammation by histology, and viral loads by quantitative real-time PCR. Previous γHV68 infection led to persistently upregulated IFN-γ in lungs and spleen and persistently upregulated CCL2 and CCL5 in the lungs. Previous γHV68 infection amplified MAV-1-induced CCL5 upregulation and cellular inflammation in the lungs. Previous γHV68 infection was associated with lower MAV-1 viral loads in the spleen but not the lung. There was no significant effect of previous γHV68 on IFN-γ expression or MAV-1 viral loads when the interval between infections was increased to 44 days. In summary, previous γHV68 infection modulated lung inflammatory responses and decreased susceptibility to a heterologous virus in an organ- and time-dependent manner

    σ Factor and Anti-σ Factor That Control Swarming Motility and Biofilm Formation in Pseudomonas aeruginosa.

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    International audiencePseudomonas aeruginosa is capable of causing a variety of acute and chronic infections. Here, we provide evidence that sbrR (PA2895), a gene previously identified as required during chronic P. aeruginosa respiratory infection, encodes an anti-σ factor that inhibits the activity of its cognate extracytoplasmic-function σ factor, SbrI (PA2896). Bacterial two-hybrid analysis identified an N-terminal region of SbrR that interacts directly with SbrI and that was sufficient for inhibition of SbrI-dependent gene expression. We show that SbrI associates with RNA polymerase in vivo and identify the SbrIR regulon. In cells lacking SbrR, the SbrI-dependent expression of muiA was found to inhibit swarming motility and promote biofilm formation. Our findings reveal SbrR and SbrI as a novel set of regulators of swarming motility and biofilm formation in P. aeruginosa that mediate their effects through muiA, a gene not previously known to influence surface-associated behaviors in this organism.This study characterizes a σ factor/anti-σ factor system that reciprocally regulates the surface-associated behaviors of swarming motility and biofilm formation in the opportunistic pathogen Pseudomonas aeruginosa. We present evidence that SbrR is an anti-σ factor specific for its cognate σ factor, SbrI, and identify the SbrIR regulon in P. aeruginosa. We find that cells lacking SbrR are severely defective in swarming motility and exhibit enhanced biofilm formation. Moreover, we identify muiA (PA1494) as the SbrI-dependent gene responsible for mediating these effects. SbrIR have been implicated in virulence and in responding to antimicrobial and cell envelope stress. SbrIR may therefore represent a stress response system that influences the surface behaviors of P. aeruginosa during infection

    The C-Terminal Repeating Units of CsgB Direct Bacterial Functional Amyloid Nucleation

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    Curli are functional amyloids produced by enteric bacteria. The major curli fiber subunit, CsgA, self-assembles into an amyloid fiber in vitro. The minor curli subunit protein, CsgB, is required for CsgA polymerization on the cell surface. Both CsgA and CsgB are composed of five predicted β–strand-loop-β–strand-loop repeating units that feature conserved glutamine and asparagine residues. Because of this structural homology, we proposed that CsgB might form an amyloid template that initiates CsgA polymerization on the cell surface. To test this model, we purified wild-type CsgB, and found that it self-assembled into amyloid fibers in vitro. Preformed CsgB fibers seeded CsgA polymerization as did soluble CsgB added to the surface of cells secreting soluble CsgA. To define the molecular basis of CsgB nucleation, we generated a series of mutants that removed each of the five repeating units. Each of these CsgB deletion mutants was capable of self-assembly in vitro. In vivo, membrane-localized mutants lacking the 1(st), 2(nd) or 3(rd) repeating units were able to convert CsgA into fibers. However, mutants missing either the 4(th) or 5(th) repeating units were unable to complement a csgB mutant. These mutant proteins were not localized to the outer membrane, but were instead secreted into the extracellular milieu. Synthetic CsgB peptides corresponding to repeating units 1, 2 and 4 self assembled into ordered amyloid polymers, while peptides corresponding to repeating units 3 and 5 did not, suggesting that there are redundant amyloidogenic domains in CsgB. Our results suggest a model where the rapid conversion of CsgB from unstructured protein to a β-sheet-rich amyloid template anchored to the cell surface is mediated by the C-terminal repeating units

    Simulation of Oxygen Isotopes in a Global Ocean Model

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    Abstract: We incorporate the oxygen isotope composition of seawater δ18Ow into a global ocean model that is based on the Modular Ocean Model (MOM, version 2) of the Geophysical Fluid Dynamics Laboratory (GFDL). In a first experiment, this model is run to equilibrium to simulate the present-day ocean; in a second experiment, the oxygen isotope composition of Antarctic Surface Water (AASW) is set to a constant value to indirectly account for the effect of sea-ice. We check the depth distribution of δ18Ow against observations. Furthermore, we computed the equilibrium fractionation of the oxygen isotope composition of calcite δ18Oc from a paleotemperature equation and compared it with benthic foraminiferal δ18O. The simulated δ18Ow distribution compares fairly well with the GEOSECS data. We show that the δ18Ow values can be used to characterize different water masses. However, a warm bias of the global ocean model yields δ18Oc values that are too light by about 0.5 ‰ above 2 km depth and exhibit a false vertical gradient below 2 km depth. Our ultimate goal is to interpret the wealth of foraminiferal δ18O data in terms of water mass changes in the paleocean, e.g. at the Last Glacial Maximum (LGM). This requires the warm bias of the global ocean model to be corrected. Furthermore the model must probably be coupled to simple atmosphere and sea-ice models such that neither sea-surface salinity (SSS) nor surface δ18Ow need to be prescribed and the use of present-day δ18Ow-salinity relationships can be avoided

    Climate and hydrological models to assess the impact of climate change on hydrological regime: a review

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