36 research outputs found

    Clostridioides difficile infection is associated with differences in transcriptionally active microbial communities

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    Clostridioides difficile infection (CDI) is responsible for around 300,000 hospitalizations yearly in the United States, with the associated monetary cost being billions of dollars. Gut microbiome dysbiosis is known to be important to CDI. To the best of our knowledge, metatranscriptomics (MT) has only been used to characterize gut microbiome composition and function in one prior study involving CDI patients. Therefore, we utilized MT to investigate differences in active community diversity and composition between CDI+ (n = 20) and CDI− (n = 19) samples with respect to microbial taxa and expressed genes. No significant (Kruskal-Wallis, p > 0.05) differences were detected for richness or evenness based on CDI status. However, clustering based on CDI status was significant for both active microbial taxa and expressed genes datasets (PERMANOVA, p ≀ 0.05). Furthermore, differential feature analysis revealed greater expression of the opportunistic pathogens Enterocloster bolteae and Ruminococcus gnavus in CDI+ compared to CDI− samples. When only fungal sequences were considered, the family Saccharomycetaceae expressed more genes in CDI−, while 31 other fungal taxa were identified as significantly (Kruskal-Wallis p ≀ 0.05, log(LDA) ≄ 2) associated with CDI+. We also detected a variety of genes and pathways that differed significantly (Kruskal-Wallis p ≀ 0.05, log(LDA) ≄ 2) based on CDI status. Notably, differential genes associated with biofilm formation were expressed by C. difficile. This provides evidence of another possible contributor to C. difficile’s resistance to antibiotics and frequent recurrence in vivo. Furthermore, the greater number of CDI+ associated fungal taxa constitute additional evidence that the mycobiome is important to CDI pathogenesis. Future work will focus on establishing if C. difficile is actively producing biofilms during infection and if any specific fungal taxa are particularly influential in CDI

    Planck 2013 results. XXIX. Planck catalogue of Sunyaev-Zeldovich sources

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    We describe the all-sky Planck catalogue of clusters and cluster candidates derived from Sunyaev-Zeldovich (SZ) effect detections using the first 15.5 months of Planck satellite observations. The catalogue contains 1227 entries, making it over six times the size of the Planck Early SZ (ESZ) sample and the largest SZ-selected catalogue to date. It contains 861 confirmed clusters, of which 178 have been confirmed as clusters, mostly through follow-up observations, and a further 683 are previously-known clusters. The remaining 366 have the status of cluster candidates, and we divide them into three classes according to the quality of evidence that they are likely to be true clusters. The Planck SZ catalogue is the deepest all-sky cluster catalogue, with redshifts up to about one, and spans the broadest cluster mass range from (0.1 to 1.6) × 1015 MñƠℱ. Confirmation of cluster candidates through comparison with existing surveys or cluster catalogues is extensively described, as is the statistical characterization of the catalogue in terms of completeness and statistical reliability. The outputs of the validation process are provided as additional information. This gives, in particular, an ensemble of 813 cluster redshifts, and for all these Planck clusters we also include a mass estimated from a newly-proposed SZ-mass proxy. A refined measure of the SZ Compton parameter for the clusters with X-ray counter-parts is provided, as is an X-ray flux for all the Planck clusters not previously detected in X-ray surveys.The development of Planck has been supported by: ESA; CNES and CNRS/INSU-IN2P3-INP (France); ASI, CNR, and INAF (Italy); NASA and DoE (USA); STFC and UKSA (UK); CSIC, MICINN and JA (Spain); Tekes, AoF and CSC (Finland); DLR and MPG (Germany); CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland); RCN (Norway); SFI (Ireland); FCT/MCTES (Portugal); and PRACE (EU).Peer Reviewe

    Towards a realistic population of simulated galaxy groups and clusters

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    We present a new suite of large-volume cosmological hydrodynamical simulations called cosmo-OWLS. They form an extension to the OverWhelmingly Large Simulations (OWLS) project, and have been designed to help improve our understanding of cluster astrophysics and non-linear structure formation, which are now the limiting systematic errors when using clusters as cosmological probes. Starting from identical initial conditions in either the Planck or WMAP7 cosmologies, we systematically vary the most important ‘sub-grid’ physics, including feedback from supernovae and active galactic nuclei (AGN). We compare the properties of the simulated galaxy groups and clusters to a wide range of observational data, such as X-ray luminosity and temperature, gas mass fractions, entropy and density profiles, Sunyaev–Zel'dovich flux, I-band mass-to-light ratio, dominance of the brightest cluster galaxy and central massive black hole (BH) masses, by producing synthetic observations and mimicking observational analysis techniques. These comparisons demonstrate that some AGN feedback models can produce a realistic population of galaxy groups and clusters, broadly reproducing both the median trend and, for the first time, the scatter in physical properties over approximately two decades in mass (1013 M⊙ â‰Č M500 â‰Č 1015 M⊙) and 1.5 decades in radius (0.05 â‰Č r/r500 â‰Č 1.5). However, in other models, the AGN feedback is too violent (even though they reproduce the observed BH scaling relations), implying that calibration of the models is required. The production of realistic populations of simulated groups and clusters, as well as models that bracket the observations, opens the door to the creation of synthetic surveys for assisting the astrophysical and cosmological interpretation of cluster surveys, as well as quantifying the impact of selection effects

    A note on an occurrence of pseudo-pumice along the beaches of Goa and Karnataka

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    365-370<span style="font-size:9.0pt;font-family: " times="" new="" roman";mso-fareast-font-family:"ms="" mincho";mso-bidi-font-family:="" "times="" roman";mso-ansi-language:en-us;mso-fareast-language:ja;mso-bidi-language:="" ar-sa"="" lang="EN-US">Clasts showing typical physical features of pumice were found scattered along the beaches of Goa and Karnataka.  Their chemical composition suggests a large variation in SiO2 content (69% to 93%), with an unusual strong positive Ce-anomaly. These light weight fragments  do not correspond with natural pumice, but rather appear to be similar to the chemical composition of foam glass / artificial pumice available in the market. Therefore, it is concluded that these pumice clasts are a waste product of silica based industries (most probably originating from the ship breaking yards in Gujarat), that found its way towards the beaches of Goa and Karnataka by the action of waves and southerly littoral currents.</span

    Morphology and chemical composition of ash layer of about 8 Ma old from ODP-758 site, Bay of Bengal

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    871-876Glass shards from an ash layer of about 8 Ma old extracted from a core drilled at an ODP-758 site in the Bay of Bengal (BOB) were studied for morphology and chemical composition in order to trace their possible source. Glass shards are of bubble wall, platy and pumice shard type indicating magmatic type of eruption. Electron probe micro analysis (EPMA) of glass shards suggesta rhyolite composition and high K cal-alkaline series. FeO (1.23%) and TiO2 (0.1%) contents of these glass shards are distinctly higher compared to the earlier known Youngest (~74 ka), Middle (~0.54 Ma) and Oldest (~0.84 Ma) Toba Tuffs. Tectonomagmatic, triangular (Ti-Zr-Y) plot and chondrite- normalized REE pattern, are all indicative of volcanic arc source most probably from the nearby Indonesian arc volcanism
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