TY - CONF A1 - Schumacher, Julia T1 - Photoregulation in Plant- & Rock-associated Black Fungi N2 - Fungi that share light-flooded habitats with phototrophs may profit from excess photosynthetic products. But to cope with sunlight-associated stresses it is important for fungi to accurately sense and respond to changes in light. To test the hypothesis that light is an environmental cue that Ascomycota use to coordinate growth, stress responses as well as to establish pathogenic or symbiotic relationships, the photoreceptor (PR) distribution in species from different ecological niches was analysed. The genomes of black fungi from phyllosphere and exposed solid surfaces contain multiple photoreceptors (PRs). The filamentous foliar plant pathogen Botrytis cinerea (Leotiomycetes) has a highly sophisticated photosensory and signalling system that helps to avoid light and to locate susceptible hosts. Rock-inhabiting Dothideo- and Eurotiomycetes including Knufia petricola possess equal numbers of PRs along with the same set of protective pigments. This similarity between black fungi from plant and rock surfaces suggests that photoperception and photoregulation are important for fungi that avoid loss of energy and nutrients through cooperation with phototrophs. T2 - Scientific Colloquium at the Department of Genetics, University of Seville CY - Seville, Spain DA - 24.10.2019 KW - Light sensing KW - Knufia petricola KW - Botrytis cinerea PY - 2019 AN - OPUS4-49637 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gerrits, Ruben A1 - Pokharel, R. A1 - Breitenbach, Romy A1 - Radnik, Jörg A1 - Wirth, R. A1 - Schuessler, J. A. A1 - Benning, L. G. A1 - von Blanckenburg, F. A1 - Gorbushina, Anna A1 - Feldmann, Ines T1 - Olivine weathering by the genetically amenable rock-inhabiting fungus Knufia petricola A95 N2 - In arid sun-exposed environments, rock-inhabiting fungi dominate microbial communities on rock surfaces. Fungi are known to enhance rock weathering, although the exact mechanisms are not completely understood. These natural processes can be simulated by reproducible experimental systems. Particularly attractive are genetically amenable rock-weathering fungi, where certain traits can be knocked-out to identify weathering-relevant functions. Here, we studied the effect of the rock-inhabiting fungus Knufia petricola A95 and its melanin-deficient mutant (ΔKppks) on the weathering of a Fe-bearing olivine. We examined the olivine dissolution kinetics and looked at the olivine-fungus interface. For the former we inoculated olivine powder with the fungus in batch and mixed flow reactors and analysed the medium solution by ICP-OES, for the latter biofilm-covered olivine sections from flow-through reactors were analysed by FIB-TEM. In general olivine dissolution was lower when olivine was incubated without fungi: the abiotic olivine dissolution rates were lowest and the surface of the abiotically reacted olivine sections showed no etching. Various chemical analyses show Fe (oxyhydr)oxide precipitation on top of the abiotically reacted olivine, indicating its role in inhibiting olivine dissolution. Both the wild type (WT) and ΔKppks solubilised and bound significant amounts of Fe released by olivine dissolution. Fe (oxyhydr)oxide precipitation was thus reduced, explaining the enhanced olivine dissolution in their presence. Particularly efficient at preventing Fe precipitation were attached WT cells: the inhibition of olivine dissolution almost completely disappeared. The attachment capacity of the WT is most likely caused by the production of WT-specific extracellular polymeric substances. Our presented experimental systems allowed the precipitation of Fe (oxyhydr)oxides and included a rock-inhabiting fungus and thus simulated weathering processes relevant to natural ecosystems. T2 - ISEB 2019 CY - Potsdam, Germany DA - 23.09.2019 KW - Olivine KW - Weathering KW - Fungus PY - 2019 AN - OPUS4-49585 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kayser, Y. A1 - Pollakowski-Herrmann, Beatrix A1 - Hönicke, P. A1 - Friese, Carmen A1 - Seeger, Stefan A1 - Cara, E. A1 - Boarino, L. A1 - Gianotti, V. A1 - Laus, M. A1 - Beckhoff, Burkhard T1 - AEROMET – Traceable and reliable chemical analysis of aerosols by X-ray spectrometry N2 - Traceable and reliable chemical element analysis of aerosols by X-ray spectrometry was investigated using aerosol samples from field campaigns which have been measured in the GIXRF-beamline at BESSY. The reference-free XRF approach allows for a traceable analysis of the mass deposition. Traceable quantification by means of XRF can be transfered to benchtop instrumentation used in the laboratory Chemical and dimensional analysis of deposited aerosol allows for a comprehensive analysis of aerosols, e.g. for toxicity assessment and determination of the source The folowing elements could be identified and quantified in the field samples: Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn, As, Se, Br, Rb, Sr, Y, W, Pb. T2 - European Aerosol Conference EAC 2019 CY - Gothenburg, Sweden DA - 25.08.2019 KW - TXRF KW - Element mass concetration KW - Ambient aerosol KW - Cascade impactor PY - 2019 AN - OPUS4-49583 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bucar, K. A1 - Zitnik, M. A1 - Stabile, L. A1 - Ozan, J. A1 - Seeger, Stefan T1 - Performance of a Sharp GP2Y low-cost aerosol PM sensor N2 - Simple particulate matter sensors are gaining popularity due to their low price, easy handling and good temporal resolution. In this presentation, we report on the performance of a Sharp optical PM sensor GP2Y1010AU0F, which costs less than 15 €. The sensor is built around an infrared emitting diode (ILED) and a phototransistor detecting the light scattered from the aerosol particle. An electronic circuit shapes the detected light in a pulsed signal. The manufacturer advises sampling the output signal 280 microseconds after the ILED pulse. The measured output voltage is an indicator of dust concentration. We have built two identical simple PM monitoring devices using Raspberry Pi 3 computer interfacing the PM sensor with Microchip’s MCP3002 ADC via SPI. The ADC is capable of more than 100 ksamples/s at 10-bit resolution. The Rpi3 was pulsing the sensor at 10Hz, digitizing and saving the data and sending the results wirelessly. Sensor’s output pulse shape was sampled with 10 microsecond time steps and saved, thus making offline analysis possible. A time jitter of output pulses can be observed and suggests a peak fitting as a better approach to the signal readout compared to the single sampling at a fixed time after pulse triggering We compared both methods. T2 - European Aerosol Coference EAC 2019 CY - Gothenburg, Sweden DA - 25.08.2019 KW - Aerosol KW - Low cost aerosol PM sensor KW - PM PY - 2019 AN - OPUS4-49581 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -