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  • 1
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 377, No. 6605 ( 2022-07-29)
    Abstract: Plants deploy intracellular nucleotide-binding leucine-rich repeat (NLR) receptors to detect pathogen effectors that are delivered to host cells during infection. Effector recognition leads to NLR oligomerization, which induces effector-triggered immunity (ETI), often involving host cell death. The NLR receptor subclass called TNL (TIR-NLR) has an N-terminal Toll/interleukin-1 receptor (TIR) signaling domain. Pathogen effector–activated TNLs form tetrameric complexes (resistosomes) with nicotinamide adenine dinucleotide hydrolase (NADase) activity encoded in the TIR domain. The NADase activity of TNLs or TIR domain proteins confers pathogen immunity and/or host cell death. Activated TNLs signal through conserved lipase-like proteins consisting of EDS1 (Enhanced Disease Susceptibility 1) and its two exclusive partners, PAD4 (Phytoalexin Deficient 4) and SAG101 (Senescence-Associated Gene 101), together with a small group of conserved coiled-coil domain–containing helper (signaling) NLRs. In Arabidopsis , EDS1-PAD4 and EDS1-SAG101 dimers cooperate with particular helper NLR subgroups, ADR1 (Activated Disease Resistance 1) and NRG1 (N requirement gene 1), respectively, to induce immune responses. The biochemical mechanisms underlying TNL and TIR dependence on these two EDS1 dimer–helper NLR modules remain unknown. RATIONALE In Arabidopsis TNL- or TIR-triggered immunity, EDS1-PAD4 dimers associate with ADR1-type helper NLRs to restrict pathogen growth, whereas EDS1-SAG101 dimers interact with NRG1-type helper NLRs to promote host cell death. Plant TNLs and TIRs catalyze production of several nucleotide-based molecules in vivo, which suggests that TIR-catalyzed products might activate immune outputs of ADR1 and NRG1. Based on similar but nonidentical EDS1-PAD4 and EDS1-SAG101 surface grooves, we hypothesized that EDS1 dimer binding of TIR NADase–catalyzed products induces association with their corresponding helper NLRs. We identified 2′-(5′′-phosphoribosyl)-5′-adenosine diphosphate (pRib-ADP) and monophosphate (pRib-AMP) as the TIR-catalyzed bioactive compounds that bind to and induce EDS1-PAD4 interaction with ADR1. However, these molecules have only weak EDS1-SAG101 binding activity, which suggests that different TIR catalytic products activate the EDS1-SAG101-NRG1 immunity branch. RESULTS We found that coexpression of an Arabidopsis TNL (RPP1) resistosome or the monocot TIR-only protein from Brachypodium distachyon with EDS1, SAG101, and NRG1 induced TNL or TIR NADase–dependent specific interaction between EDS1-SAG101 and NRG1. Coupled with high-resolution mass spectrometry (HRMS) data, a cryo–electron microscopy–generated structure of TNL-activated EDS1-SAG101 revealed that a small molecule, ADP-ribosylated adenosine triphosphate (ADPr-ATP), binds at a similar pocket as pRib-ADP and pRib-AMP to EDS1-PAD4, establishing EDS1-SAG101 as a receptor for this small molecule. ADPr-ATP binding to EDS1-SAG101 induces a conformational change in the C-terminal part of SAG101, which allosterically enables its interaction with NRG1. This mechanism is conserved in pRib-ADP– and pRib-AMP–triggered EDS1-PAD4 binding to ADR1 and explains the recruitment of helper NLR types by their corresponding EDS1 heterodimers. Residues coordinating small molecule binding in both dimers are conserved in seed plant species, suggesting broad relevance. TIR activation resulted in TIR NADase–dependent accumulation of ADPr-ATP in plant tissues. ADPr-ATP is synthesized by TIR-catalyzed transfer of ADP-ribose (ADPR) from NAD + (called ADP-ribosylation) to ATP. A related product, ADPr-ADPR (di-ADPR), with similar activity in inducing EDS1-SAG101 interaction with NRG1 is formed by ADP-ribosylation of ADPR. Synthesis of pRib-ADP and pRib-AMP likely involves a two-step mechanism through TIR-catalyzed hydrolysis of ADPr-ATP and di-ADPR. CONCLUSION TIR enzyme activity catalyzes ADP-ribosylation of ATP and ADPR to produce NAD + -derived small molecules that activate two distinctive EDS1 dimer–helper NLR immunity modules. Allosteric activation enables EDS1 dimer association with its cofunctioning helper NLR. The ligands and their receptor mechanisms are likely conserved across seed plants to regulate immune responses. TIR-catalyzed small molecules controlling two immunity branches. Activated TIRs and TNLs use NAD + or NAD + with ATP as substrates to produce ADPr-ATP and di-ADPR through ADP-ribosylation reactions, which are likely to be further hydrolyzed to pRib-ADP and pRib-AMP. pRib-ADP and pRib-AMP and ADPr-ATP and di-ADPR bind specifically to EDS1-PAD4 and EDS1-SAG101 dimers, triggering conformational changes of PAD4 and SAG101 EP domains to allosterically induce interaction with CNL-type helper NLRs, ADR1 and NRG1, for plant resistance and cell death, respectively.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
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    SSG: 11
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  • 2
    In: Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 21, No. 20 ( 2021-10-22), p. 15783-15808
    Abstract: Abstract. During the 1-year MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition, the German icebreaker Polarstern drifted through Arctic Ocean ice from October 2019 to May 2020, mainly at latitudes between 85 and 88.5∘ N. A multiwavelength polarization Raman lidar was operated on board the research vessel and continuously monitored aerosol and cloud layers up to a height of 30 km. During our mission, we expected to observe a thin residual volcanic aerosol layer in the stratosphere, originating from the Raikoke volcanic eruption in June 2019, with an aerosol optical thickness (AOT) of 0.005–0.01 at 500 nm over the North Pole area during the winter season. However, the highlight of our measurements was the detection of a persistent, 10 km deep aerosol layer in the upper troposphere and lower stratosphere (UTLS), from about 7–8 to 17–18 km height, with clear and unambiguous wildfire smoke signatures up to 12 km and an order of magnitude higher AOT of around 0.1 in the autumn of 2019. Case studies are presented to explain the specific optical fingerprints of aged wildfire smoke in detail. The pronounced aerosol layer was present throughout the winter half-year until the strong polar vortex began to collapse in late April 2020. We hypothesize that the detected smoke originated from extraordinarily intense and long-lasting wildfires in central and eastern Siberia in July and August 2019 and may have reached the tropopause layer by the self-lifting process. In this article, we summarize the main findings of our 7-month smoke observations and characterize the aerosol in terms of geometrical, optical, and microphysical properties. The UTLS AOT at 532 nm ranged from 0.05–0.12 in October–November 2019 and 0.03–0.06 during the main winter season. The Raikoke aerosol fraction was estimated to always be lower than 15 %. We assume that the volcanic aerosol was above the smoke layer (above 13 km height). As an unambiguous sign of the dominance of smoke in the main aerosol layer from 7–13 km height, the particle extinction-to-backscatter ratio (lidar ratio) at 355 nm was found to be much lower than at 532 nm, with mean values of 55 and 85 sr, respectively. The 355–532 nm Ångström exponent of around 0.65 also clearly indicated the presence of smoke aerosol. For the first time, we show a distinct view of the aerosol layering features in the High Arctic from the surface up to 30 km height during the winter half-year. Finally, we provide a vertically resolved view on the late winter and early spring conditions regarding ozone depletion, smoke occurrence, and polar stratospheric cloud formation. The latter will largely stimulate research on a potential impact of the unexpected stratospheric aerosol perturbation on the record-breaking ozone depletion in the Arctic in spring 2020.
    Type of Medium: Online Resource
    ISSN: 1680-7324
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2021
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    detail.hit.zdb_id: 2069847-1
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  • 3
    In: JAMA, American Medical Association (AMA), Vol. 324, No. 6 ( 2020-08-11), p. 560-
    Type of Medium: Online Resource
    ISSN: 0098-7484
    RVK:
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2020
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    detail.hit.zdb_id: 2018410-4
    SSG: 5,21
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  • 4
    In: Atmospheric Measurement Techniques, Copernicus GmbH, Vol. 16, No. 16 ( 2023-08-18), p. 3809-3834
    Abstract: Abstract. Ground-based observations of horizontal winds have been performed at Leipzig (51.35∘ N, 12.43∘ E), Germany, and at Punta Arenas (53.15∘ S, 70.91∘ W), Chile, in the framework of the German initiative EVAA (Experimental Validation and Assimilation of Aeolus observations) with respect to the validation of the Mie and Rayleigh wind products of Aeolus (L2B data). In Leipzig, at the Leibniz Institute for Tropospheric Research (TROPOS), radiosondes have been launched for the Aeolus overpasses on each Friday (ascending orbit) since the middle of May 2019. In Punta Arenas, scanning Doppler cloud radar observations have been performed in the framework of the DACAPO-PESO campaign (dacapo.tropos.de) for more than 3 years from the end of 2018 until the end of 2021 and could be used to validate Aeolus measurements on its ascending and descending orbits. We present two case studies and long‐term statistics of the horizontal winds derived with the ground-based reference instruments compared to Aeolus horizontal line-of-sight (HLOS) winds. The wind products of Aeolus considered are the Mie cloudy and Rayleigh clear products. It was found that the deviation of the Aeolus HLOS winds from the ground reference is usually of Gaussian shape, which allowed the use of the median bias and the scaled median absolute deviation (MAD) for the determination of the systematic and random errors of Aeolus wind products, respectively. The case study from August 2020 with impressive atmospheric conditions at Punta Arenas shows that Aeolus is able to capture strong wind speeds of up to more than 100 m s−1. The long-term validation was performed in Punta Arenas covering the period from December 2018 to November 2021 and in Leipzig from May 2019 until September 2022. This analysis showed that the systematic error of the Aeolus wind products could be significantly lowered during the mission lifetime with the changes introduced into the processing chain (different versions are called baselines). While in the early mission phase, systematic errors of more than 2 m s−1 (absolute values) were observed for both wind types (Mie and Rayleigh), these biases could be reduced with the algorithm improvements, such as the introduction of the correction for temperature fluctuations at the main telescope of Aeolus (M1 temperature correction) with Baseline 09. Hence, since Baseline 10, a significant improvement in the Aeolus data was found, leading to a low systematic error (close to 0 m s−1) and similar values for the midlatitudinal sites in both hemispheres. The random errors for both wind products were first decreasing with an increasing baseline but later increasing again due to performance losses of the Aeolus lidar instrument. Nevertheless, no significant increase in the systematic error in the Aeolus wind products was found. Thus, one can conclude that the uncertainty introduced by the reduced atmospheric return signal received by Aeolus mostly affects the random error. Even when considering all the challenges during the mission, we can confirm the general validity of Aeolus observations during its lifetime. Therefore, this space explorer mission could demonstrate that it is possible to perform active wind observations from space with the applied technique.
    Type of Medium: Online Resource
    ISSN: 1867-8548
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2023
    detail.hit.zdb_id: 2505596-3
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  • 5
    In: Atmospheric Chemistry and Physics, Copernicus GmbH, Vol. 21, No. 17 ( 2021-09-09), p. 13397-13423
    Abstract: Abstract. An advanced multiwavelength polarization Raman lidar was operated aboard the icebreaker Polarstern during the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition to continuously monitor aerosol and cloud layers in the central Arctic up to 30 km height. The expedition lasted from September 2019 to October 2020 and measurements were mostly taken between 85 and 88.5∘ N. The lidar was integrated into a complex remote-sensing infrastructure aboard the Polarstern. In this article, novel lidar techniques, innovative concepts to study aerosol–cloud interaction in the Arctic, and unique MOSAiC findings will be presented. The highlight of the lidar measurements was the detection of a 10 km deep wildfire smoke layer over the North Pole region between 7–8 km and 17–18 km height with an aerosol optical thickness (AOT) at 532 nm of around 0.1 (in October–November 2019) and 0.05 from December to March. The dual-wavelength Raman lidar technique allowed us to unambiguously identify smoke as the dominating aerosol type in the aerosol layer in the upper troposphere and lower stratosphere (UTLS). An additional contribution to the 532 nm AOT by volcanic sulfate aerosol (Raikoke eruption) was estimated to always be lower than 15 %. The optical and microphysical properties of the UTLS smoke layer are presented in an accompanying paper (Ohneiser et al., 2021). This smoke event offered the unique opportunity to study the influence of organic aerosol particles (serving as ice-nucleating particles, INPs) on cirrus formation in the upper troposphere. An example of a closure study is presented to explain our concept of investigating aerosol–cloud interaction in this field. The smoke particles were obviously able to control the evolution of the cirrus system and caused low ice crystal number concentration. After the discussion of two typical Arctic haze events, we present a case study of the evolution of a long-lasting mixed-phase cloud layer embedded in Arctic haze in the free troposphere. The recently introduced dual-field-of-view polarization lidar technique was applied, for the first time, to mixed-phase cloud observations in order to determine the microphysical properties of the water droplets. The mixed-phase cloud closure experiment (based on combined lidar and radar observations) indicated that the observed aerosol levels controlled the number concentrations of nucleated droplets and ice crystals.
    Type of Medium: Online Resource
    ISSN: 1680-7324
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2092549-9
    detail.hit.zdb_id: 2069847-1
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  • 6
    Online Resource
    Online Resource
    Copernicus GmbH ; 2022
    In:  Geoscientific Model Development Vol. 15, No. 8 ( 2022-04-22), p. 3315-3345
    In: Geoscientific Model Development, Copernicus GmbH, Vol. 15, No. 8 ( 2022-04-22), p. 3315-3345
    Abstract: Abstract. There is a gap between the need for city-wide air-quality simulations considering the intra-urban variability and mircoscale dispersion features and the computational capacities that conventional urban microscale models require. This gap can be bridged by targeting model applications on the gray zone situated between the mesoscale and large-eddy scale. The urban dispersion model CAIRDIO is a new contribution to the class of computational-fluid dynamics models operating in this scale range. It uses a diffuse-obstacle boundary method to represent buildings as physical obstacles at gray-zone resolutions in the order of tens of meters. The main objective of this approach is to find an acceptable compromise between computationally inexpensive grid sizes for spatially comprehensive applications and the required accuracy in the description of building and boundary-layer effects. In this paper, CAIRDIO is applied on the simulation of black carbon and particulate matter dispersion for an entire mid-size city using a uniform horizontal grid spacing of 40 m. For model evaluation, measurements from five operational air monitoring stations representative for the urban background and high-traffic roads are used. The comparison also includes the mesoscale host simulation, which provides the boundary conditions. The measurements show a dominant influence of the mixing layer evolution at background sites, and therefore both the mesoscale and large-eddy simulation (LES) results are in good agreement with the observed air pollution levels. In contrast, at the high-traffic sites the proximity to emissions and the interactions with the building environment lead to a significantly amplified diurnal variability in pollutant concentrations. These urban road conditions can only be reasonably well represented by CAIRDIO while the meosocale simulation indiscriminately reproduces a typical urban-background profile, resulting in a large positive model bias. Remaining model discrepancies are further addressed by a grid-spacing sensitivity study using offline-nested refined domains. The results show that modeled peak concentrations within street canyons can be further improved by decreasing the horizontal grid spacing down to 10 m, but not beyond. Obviously, the default grid spacing of 40 m is too coarse to represent the specific environment within narrow street canyons. The accuracy gains from the grid refinements are still only modest compared to the remaining model error, which to a large extent can be attributed to uncertainties in the emissions. Finally, the study shows that the proposed gray-scale modeling is a promising downscaling approach for urban air-quality applications. The results, however, also show that aspects other than the actual resolution of flow patterns and numerical effects can determine the simulations at the urban microscale.
    Type of Medium: Online Resource
    ISSN: 1991-9603
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2456725-5
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