TY  - JOUR
A1  - Abdalla, Hassan E.
A1  - Abramowski, Attila
A1  - Aharonian, Felix A.
A1  - Benkhali, Faiçal Ait
A1  - Akhperjanian, A. G.
A1  - Angüner, Ekrem Oǧuzhan
A1  - Arrieta, M.
A1  - Aubert, Pierre
A1  - Backes, Michael
A1  - Balzer, Arnim
A1  - Barnard, Michelle
A1  - Becherini, Yvonne
A1  - Tjus, Julia Becker
A1  - Berge, David
A1  - Bernhard, Sabrina
A1  - Bernlöhr, K.
A1  - Birsin, E.
A1  - Blackwell, R.
A1  - Bottcher, Markus
A1  - Boisson, Catherine
A1  - Bolmont, J.
A1  - Bordas, Pol
A1  - Bregeon, Johan
A1  - Brun, Francois
A1  - Brun, Pierre
A1  - Bryan, Mark
A1  - Bulik, Tomasz
A1  - Capasso, M.
A1  - Carr, John
A1  - Casanova, Sabrina
A1  - Chakraborty, N.
A1  - Chalme-Calvet, R.
A1  - Chaves, Ryan C. G.
A1  - Chen, Andrew
A1  - Chevalier, J.
A1  - Chretien, M.
A1  - Colafrancesco, Sergio
A1  - Cologna, Gabriele
A1  - Condon, B.
A1  - Conrad, Jan
A1  - Couturier, C.
A1  - Cui, Y.
A1  - Davids, I. D.
A1  - Degrange, B.
A1  - Deil, Christoph
A1  - deWilt, P.
A1  - Djannati-Atai, Arache
A1  - Domainko, Wilfried
A1  - Donath, Axel
A1  - Dubus, Guillaume
A1  - Dutson, Kate
A1  - Dyks, J.
A1  - Dyrda, M.
A1  - Edwards, T.
A1  - Egberts, Kathrin
A1  - Eger, P.
A1  - Ernenwein, J. -P.
A1  - Eschbach, S.
A1  - Farnier, C.
A1  - Fegan, Stuart
A1  - Fernandes, M. V.
A1  - Fiasson, A.
A1  - Fontaine, G.
A1  - Foerster, A.
A1  - Funk, S.
A1  - Füßling, Matthias
A1  - Gabici, Stefano
A1  - Gajdus, M.
A1  - Gallant, Y. A.
A1  - Garrigoux, T.
A1  - Giavitto, Gianluca
A1  - Giebels, B.
A1  - Glicenstein, J. F.
A1  - Gottschall, Daniel
A1  - Goyal, A.
A1  - Grondin, M. -H.
A1  - Grudzinska, M.
A1  - Hadasch, Daniela
A1  - Hahn, J.
A1  - Hawkes, J.
A1  - Heinzelmann, G.
A1  - Henri, Gilles
A1  - Hermann, G.
A1  - Hervet, Olivier
A1  - Hillert, A.
A1  - Hinton, James Anthony
A1  - Hofmann, Werner
A1  - Hoischen, Clemens
A1  - Holler, M.
A1  - Horns, D.
A1  - Ivascenko, Alex
A1  - Jacholkowska, A.
A1  - Jamrozy, Marek
A1  - Janiak, M.
A1  - Jankowsky, D.
A1  - Jankowsky, Felix
A1  - Jingo, M.
A1  - Jogler, Tobias
A1  - Jouvin, Lea
A1  - Jung-Richardt, Ira
A1  - Kastendieck, M. A.
A1  - Katarzynski, Krzysztof
A1  - Katz, Uli
A1  - Kerszberg, D.
A1  - Khelifi, B.
A1  - Kieffer, M.
A1  - King, J.
A1  - Klepser, S.
A1  - Klochkov, Dmitry
A1  - Kluzniak, W.
A1  - Kolitzus, D.
A1  - Komin, Nu.
A1  - Kosack, K.
A1  - Krakau, S.
A1  - Kraus, Michael
A1  - Krayzel, F.
A1  - Kruger, P. P.
A1  - Laffon, H.
A1  - Lamanna, G.
A1  - Lau, Jeanie
A1  - Lees, J. -P.
A1  - Lefaucheur, J.
A1  - Lefranc, V.
A1  - Lemiere, A.
A1  - Lemoine-Goumard, M.
A1  - Lenain, J. -P.
A1  - Leser, Eva
A1  - Lohse, Thomas
A1  - Lorentz, M.
A1  - Lui, R.
A1  - Lypova, Iryna
A1  - Marandon, Vincent
A1  - Marcowith, Alexandre
A1  - Mariaud, C.
A1  - Marx, R.
A1  - Maurin, G.
A1  - Maxted, N.
A1  - Mayer, Michael
A1  - Meintjes, Petrus Johannes
A1  - Menzler, U.
A1  - Meyer, Manuel
A1  - Mitchell, A. M. W.
A1  - Moderski, R.
A1  - Mohamed, M.
A1  - Mora, K.
A1  - Moulin, Emmanuel
A1  - Murach, T.
A1  - de Naurois, Mathieu
A1  - Niederwanger, F.
A1  - Niemiec, J.
A1  - Oakes, L.
A1  - Odaka, Hirokazu
A1  - Ohm, Stefan
A1  - Oettl, S.
A1  - Ostrowski, M.
A1  - Oya, I.
A1  - Padovani, Marco
A1  - Panter, M.
A1  - Parsons, R. D.
A1  - Arribas, M. Paz
A1  - Pekeur, N. W.
A1  - Pelletier, G.
A1  - Petrucci, P. -O.
A1  - Peyaud, B.
A1  - Pita, S.
A1  - Poon, Helen
A1  - Prokhorov, Dmitry
A1  - Prokoph, Heike
A1  - Puehlhofer, Gerd
A1  - Punch, Michael
A1  - Quirrenbach, Andreas
A1  - Raab, S.
A1  - Reimer, Anita
A1  - Reimer, Olaf
A1  - Renaud, M.
A1  - de los Reyes, R.
A1  - Rieger, Frank
A1  - Romoli, Carlo
A1  - Rosier-Lees, S.
A1  - Rowell, G.
A1  - Rudak, B.
A1  - Rulten, C. B.
A1  - Sahakian, V.
A1  - Salek, David
A1  - Sanchez, David A.
A1  - Santangelo, Andrea
A1  - Sasaki, Manami
A1  - Schlickeiser, Reinhard
A1  - Schussler, F.
A1  - Schulz, Andreas
A1  - Schwanke, U.
A1  - Schwemmer, S.
A1  - Seyffert, A. S.
A1  - Shafi, N.
A1  - Simoni, R.
A1  - Sol, H.
A1  - Spanier, Felix
A1  - Spengler, G.
A1  - Spiess, F.
A1  - Stawarz, Lukasz
A1  - Steenkamp, R.
A1  - Stegmann, Christian
A1  - Stinzing, F.
A1  - Stycz, K.
A1  - Sushch, Iurii
A1  - Tavernet, J. -P.
A1  - Tavernier, T.
A1  - Taylor, A. M.
A1  - Terrier, R.
A1  - Tluczykont, Martin
A1  - Trichard, C.
A1  - Tuffs, R.
A1  - van der Walt, Johan
A1  - van Eldik, Christopher
A1  - van Soelen, Brian
A1  - Vasileiadis, Georges
A1  - Veh, J.
A1  - Venter, C.
A1  - Viana, A.
A1  - Vincent, P.
A1  - Vink, Jacco
A1  - Voisin, F.
A1  - Voelk, Heinrich J.
A1  - Vuillaume, Thomas
A1  - Wadiasingh, Z.
A1  - Wagner, Stefan J.
A1  - Wagner, P.
A1  - Wagner, R. M.
A1  - White, R.
A1  - Wierzcholska, Alicja
A1  - Willmann, P.
A1  - Woernlein, A.
A1  - Wouters, Denis
A1  - Yang, R.
A1  - Zabalza, Victor
A1  - Zaborov, D.
A1  - Zacharias, M.
A1  - Zdziarski, A. A.
A1  - Zech, Andreas
A1  - Zefi, F.
A1  - Ziegler, A.
A1  - Zywucka, Natalia
T1  - Search for Dark Matter Annihilations towards the Inner Galactic Halo from 10 Years of Observations with HESS
JF  - Physical review letters
N2  - The inner region of the Milky Way halo harbors a large amount of dark matter (DM). Given its proximity, it is one of the most promising targets to look for DM. We report on a search for the annihilations of DM particles using gamma-ray observations towards the inner 300 pc of the Milky Way, with the H.E.S.S. array of ground-based Cherenkov telescopes. The analysis is based on a 2D maximum likelihood method using Galactic Center (GC) data accumulated by H.E.S.S. over the last 10 years (2004-2014), and does not show any significant gamma-ray signal above background. Assuming Einasto and Navarro-Frenk-White DM density profiles at the GC, we derive upper limits on the annihilation cross section <sigma nu >. These constraints are the strongest obtained so far in the TeV DM mass range and improve upon previous limits by a factor 5. For the Einasto profile, the constraints reach <sigma nu > values of 6 x 10(-26) cm(3) s(-1) in the W+W- channel for a DM particle mass of 1.5 TeV, and 2 x 10(-26) cm(3) s(-1) in the tau(+)tau(-) channel for a 1 TeV mass. For the first time, ground-based gamma-ray observations have reached sufficient sensitivity to probe <sigma nu > values expected from the thermal relic density for TeV DM particles.
Y1  - 2016
U6  - https://doi.org/10.1103/PhysRevLett.117.111301
SN  - 0031-9007
SN  - 1079-7114
VL  - 117
PB  - American Physical Society
CY  - College Park
ER  - 
TY  - JOUR
A1  - Almathen, Faisal
A1  - Charruau, Pauline
A1  - Mohandesan, Elmira
A1  - Mwacharo, Joram M.
A1  - Orozco-terWengel, Pablo
A1  - Pitt, Daniel
A1  - Abdussamad, Abdussamad M.
A1  - Uerpmann, Margarethe
A1  - Uerpmann, Hans-Peter
A1  - De Cupere, Bea
A1  - Magee, Peter
A1  - Alnaqeeb, Majed A.
A1  - Salim, Bashir
A1  - Raziq, Abdul
A1  - Dessie, Tadelle
A1  - Abdelhadi, Omer M.
A1  - Banabazi, Mohammad H.
A1  - Al-Eknah, Marzook
A1  - Walzer, Chris
A1  - Fayer, Bernard
A1  - Hofreiter, Michael
A1  - Peters, Joris
A1  - Hanotte, Olivier
A1  - Burger, Pamela A.
T1  - Ancient and modern DNA reveal dynamics of domestication and cross-continental dispersal of the dromedary
JF  - Proceedings of the National Academy of Sciences of the United States of America
N2  - Dromedaries have been fundamental to the development of human societies in arid landscapes and for long-distance trade across hostile hot terrains for 3,000 y. Today they continue to be an important livestock resource in marginal agro-ecological zones. However, the history of dromedary domestication and the influence of ancient trading networks on their genetic structure have remained elusive. We combined ancient DNA sequences of wild and early-domesticated dromedary samples from arid regions with nuclear microsatellite and mitochondrial genotype information from 1,083 extant animals collected across the species’ range. We observe little phylogeographic signal in the modern population, indicative of extensive gene flow and virtually affecting all regions except East Africa, where dromedary populations have remained relatively isolated. In agreement with archaeological findings, we identify wild dromedaries from the southeast Arabian Peninsula among the founders of the domestic dromedary gene pool. Approximate Bayesian computations further support the “restocking from the wild” hypothesis, with an initial domestication followed by introgression from individuals from wild, now-extinct populations. Compared with other livestock, which show a long history of gene flow with their wild ancestors, we find a high initial diversity relative to the native distribution of the wild ancestor on the Arabian Peninsula and to the brief coexistence of early-domesticated and wild individuals. This study also demonstrates the potential to retrieve ancient DNA sequences from osseous remains excavated in hot and dry desert environments.
KW  - anthropogenic admixture
KW  - Camelus dromedarius
KW  - demographic history
KW  - paleogenetics
KW  - wild dromedary
Y1  - 2016
U6  - https://doi.org/10.1073/pnas.1519508113
SN  - 0027-8424
VL  - 113
SP  - 6707
EP  - 6712
PB  - National Acad. of Sciences
CY  - Washington
ER  - 
TY  - JOUR
A1  - Gossner, Martin M.
A1  - Lewinsohn, Thomas M.
A1  - Kahl, Tiemo
A1  - Grassein, Fabrice
A1  - Boch, Steffen
A1  - Prati, Daniel
A1  - Birkhofer, Klaus
A1  - Renner, Swen C.
A1  - Sikorski, Johannes
A1  - Wubet, Tesfaye
A1  - Arndt, Hartmut
A1  - Baumgartner, Vanessa
A1  - Blaser, Stefan
A1  - Blüthgen, Nico
A1  - Börschig, Carmen
A1  - Buscot, Francois
A1  - Diekötter, Tim
A1  - Jorge, Leonardo Re
A1  - Jung, Kirsten
A1  - Keyel, Alexander C.
A1  - Klein, Alexandra-Maria
A1  - Klemmer, Sandra
A1  - Krauss, Jochen
A1  - Lange, Markus
A1  - Müller, Jörg
A1  - Overmann, Jörg
A1  - Pasalic, Esther
A1  - Penone, Caterina
A1  - Perovic, David J.
A1  - Purschke, Oliver
A1  - Schall, Peter
A1  - Socher, Stephanie A.
A1  - Sonnemann, Ilja
A1  - Tschapka, Marco
A1  - Tscharntke, Teja
A1  - Türke, Manfred
A1  - Venter, Paul Christiaan
A1  - Weiner, Christiane N.
A1  - Werner, Michael
A1  - Wolters, Volkmar
A1  - Wurst, Susanne
A1  - Westphal, Catrin
A1  - Fischer, Markus
A1  - Weisser, Wolfgang W.
A1  - Allan, Eric
T1  - Land-use intensification causes multitrophic homogenization of grassland communities
JF  - Nature : the international weekly journal of science
N2  - Land-use intensification is a major driver of biodiversity loss(1,2). Alongside reductions in local species diversity, biotic homogenization at larger spatial scales is of great concern for conservation. Biotic homogenization means a decrease in beta-diversity (the compositional dissimilarity between sites). Most studies have investigated losses in local (alpha)-diversity(1,3) and neglected biodiversity loss at larger spatial scales. Studies addressing beta-diversity have focused on single or a few organism groups (for example, ref. 4), and it is thus unknown whether land-use intensification homogenizes communities at different trophic levels, above-and belowground. Here we show that even moderate increases in local land-use intensity (LUI) cause biotic homogenization across microbial, plant and animal groups, both above- and belowground, and that this is largely independent of changes in alpha-diversity. We analysed a unique grassland biodiversity dataset, with abundances of more than 4,000 species belonging to 12 trophic groups. LUI, and, in particular, high mowing intensity, had consistent effects on beta-diversity across groups, causing a homogenization of soil microbial, fungal pathogen, plant and arthropod communities. These effects were nonlinear and the strongest declines in beta-diversity occurred in the transition from extensively managed to intermediate intensity grassland. LUI tended to reduce local alpha-diversity in aboveground groups, whereas the alpha-diversity increased in belowground groups. Correlations between the alpha-diversity of different groups, particularly between plants and their consumers, became weaker at high LUI. This suggests a loss of specialist species and is further evidence for biotic homogenization. The consistently negative effects of LUI on landscape-scale biodiversity underscore the high value of extensively managed grasslands for conserving multitrophic biodiversity and ecosystem service provision. Indeed, biotic homogenization rather than local diversity loss could prove to be the most substantial consequence of land-use intensification.
Y1  - 2016
U6  - https://doi.org/10.1038/nature20575
SN  - 0028-0836
SN  - 1476-4687
VL  - 540
SP  - 266
EP  - +
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Garbusow, Maria
A1  - Schad, Daniel
A1  - Sebold, Miriam Hannah
A1  - Friedel, Eva
A1  - Bernhardt, Nadine
A1  - Koch, Stefan P.
A1  - Steinacher, Bruno
A1  - Kathmann, Norbert
A1  - Geurts, Dirk E. M.
A1  - Sommer, Christian
A1  - Mueller, Dirk K.
A1  - Nebe, Stephan
A1  - Paul, Soeren
A1  - Wittchen, Hans-Ulrich
A1  - Zimmermann, Ulrich S.
A1  - Walter, Henrik
A1  - Smolka, Michael N.
A1  - Sterzer, Philipp
A1  - Rapp, Michael Armin
A1  - Huys, Quentin J. M.
A1  - Schlagenhauf, Florian
A1  - Heinz, Andreas
T1  - Pavlovian-to-instrumental transfer effects in the nucleus accumbens relate to relapse in alcohol dependence
JF  - Addiction biology
N2  - In detoxified alcohol-dependent patients, alcohol-related stimuli can promote relapse. However, to date, the mechanisms by which contextual stimuli promote relapse have not been elucidated in detail. One hypothesis is that such contextual stimuli directly stimulate the motivation to drink via associated brain regions like the ventral striatum and thus promote alcohol seeking, intake and relapse. Pavlovian-to-Instrumental-Transfer (PIT) may be one of those behavioral phenomena contributing to relapse, capturing how Pavlovian conditioned (contextual) cues determine instrumental behavior (e.g. alcohol seeking and intake). We used a PIT paradigm during functional magnetic resonance imaging to examine the effects of classically conditioned Pavlovian stimuli on instrumental choices in n=31 detoxified patients diagnosed with alcohol dependence and n=24 healthy controls matched for age and gender. Patients were followed up over a period of 3 months. We observed that (1) there was a significant behavioral PIT effect for all participants, which was significantly more pronounced in alcohol-dependent patients; (2) PIT was significantly associated with blood oxygen level-dependent (BOLD) signals in the nucleus accumbens (NAcc) in subsequent relapsers only; and (3) PIT-related NAcc activation was associated with, and predictive of, critical outcomes (amount of alcohol intake and relapse during a 3 months follow-up period) in alcohol-dependent patients. These observations show for the first time that PIT-related BOLD signals, as a measure of the influence of Pavlovian cues on instrumental behavior, predict alcohol intake and relapse in alcohol dependence.
KW  - human Pavlovian-to-instrumental transfer
KW  - nucleus accumbens
KW  - relapse in alcohol use disorder
Y1  - 2016
U6  - https://doi.org/10.1111/adb.12243
SN  - 1355-6215
SN  - 1369-1600
VL  - 21
SP  - 719
EP  - 731
PB  - Wiley-Blackwell
CY  - Hoboken
ER  - 
TY  - GEN
A1  - Kuik, Friderike
A1  - Lauer, Axel
A1  - Churkina, Galina
A1  - Denier Van der Gon, Hugo Anne Cornelis
A1  - Fenner, Daniel
A1  - Mar, Kathleen A.
A1  - Butler, Tim M.
T1  - Air quality modelling in the Berlin–Brandenburg region using WRF-Chem v3.7.1
BT  - sensitivity to resolution of model grid and input data
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Air pollution is the number one environmental cause of premature deaths in Europe. Despite extensive regulations, air pollution remains a challenge, especially in urban areas. For studying summertime air quality in the Berlin-Brandenburg region of Germany, the Weather Research and Forecasting Model with Chemistry (WRF-Chem) is set up and evaluated against meteorological and air quality observations from monitoring stations as well as from a field campaign conducted in 2014. The objective is to assess which resolution and level of detail in the input data is needed for simulating urban background air pollutant concentrations and their spatial distribution in the Berlin-Brandenburg area. The model setup includes three nested domains with horizontal resolutions of 15, 3 and 1 km and anthropogenic emissions from the TNO-MACC III inventory. We use RADM2 chemistry and the MADE/SORGAM aerosol scheme. Three sensitivity simulations are conducted updating input parameters to the single-layer urban canopy model based on structural data for Berlin, specifying land use classes on a sub-grid scale (mosaic option) and downscaling the original emissions to a resolution of ca. 1 km x 1 km for Berlin based on proxy data including traffic density and population density. The results show that the model simulates meteorology well, though urban 2m temperature and urban wind speeds are biased high and nighttime mixing layer height is biased low in the base run with the settings described above. We show that the simulation of urban meteorology can be improved when specifying the input parameters to the urban model, and to a lesser extent when using the mosaic option. On average, ozone is simulated reasonably well, but maximum daily 8 h mean concentrations are underestimated, which is consistent with the results from previous modelling studies using the RADM2 chemical mechanism. Particulate matter is underestimated, which is partly due to an underestimation of secondary organic aerosols. NOx (NO + NO2) concentrations are simulated reasonably well on average, but nighttime concentrations are overestimated due to the model's underestimation of the mixing layer height, and urban daytime concentrations are underestimated. The daytime underestimation is improved when using downscaled, and thus locally higher emissions, suggesting that part of this bias is due to deficiencies in the emission input data and their resolution. The results further demonstrate that a horizontal resolution of 3 km improves the results and spatial representativeness of the model compared to a horizontal resolution of 15 km. With the input data (land use classes, emissions) at the level of detail of the base run of this study, we find that a horizontal resolution of 1 km does not improve the results compared to a resolution of 3 km. However, our results suggest that a 1 km horizontal model resolution could enable a detailed simulation of local pollution patterns in the Berlin-Brandenburg region if the urban land use classes, together with the respective input parameters to the urban canopy model, are specified with a higher level of detail and if urban emissions of higher spatial resolution are used.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 531 
KW  - urban canopy model
KW  - aqmeii phase-2
KW  - Mexico-City
KW  - Heat-Island
KW  - ozone
KW  - performance
KW  - transport
KW  - chemistry
KW  - meteorology
KW  - simulation
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-410131
SN  - 1866-8372
IS  - 531
ER  - 
TY  - JOUR
A1  - Holz, Nathalie E.
A1  - Boecker-Schlier, Regina
A1  - Jennen-Steinmetz, Christine
A1  - Buchmann, Arlette F.
A1  - Blomeyer, Dorothea
A1  - Baumeister, Sarah
A1  - Plichta, Michael M.
A1  - Esser, Günter
A1  - Schmidt, Martin
A1  - Meyer-Lindenberg, Andreas
A1  - Banaschewski, Tobias
A1  - Brandeis, Daniel
A1  - Laucht, Manfred
T1  - Positive coping styles and perigenual ACC volume: two related mechanisms for conferring resilience?
JF  - Frontiers in human neuroscience
N2  - Stress exposure has been linked to increased rates of depression and anxiety in adults, particularly in females, and has been associated with maladaptive changes in the anterior cingulate cortex (ACC), which is an important brain structure involved in internalizing disorders. Coping styles are important mediators of the stress reaction by establishing homeostasis, and may thus confer resilience to stress-related psychopathology. Anatomical scans were acquired in 181 healthy participants at age 25 years. Positive coping styles were determined using a self-report questionnaire (German Stress Coping Questionnaire, SVF78) at age 22 years. Adult anxiety and depression symptoms were assessed at ages 22, 23 and 25 years with the Young Adult Self-Report. Information on previous internalizing diagnoses was obtained by diagnostic interview (2-19 years). Positive coping styles were associated with increased ACC volume. ACC volume and positive coping styles predicted anxiety and depression in a sex-dependent manner with increased positive coping and ACC volume being related to lower levels of psychopathology in females, but not in males. These results remained significant when controlled for previous internalizing diagnoses. These findings indicate that positive coping styles and ACC volume are two linked mechanisms, which may serve as protective factors against internalizing disorders.
KW  - coping styles
KW  - perigenual anterior cingulate cortex
KW  - resilience
KW  - anxiety disorders
KW  - mood disorders
Y1  - 2016
U6  - https://doi.org/10.1093/scan/nsw005
SN  - 1749-5016
SN  - 1749-5024
VL  - 11
SP  - 813
EP  - 820
PB  - Oxford Univ. Press
CY  - Oxford
ER  - 
TY  - JOUR
A1  - Holz, Nathalie
A1  - Boecker-Schlier, Regina
A1  - Buchmann, Arlette F.
A1  - Blomeyer, Dorothea
A1  - Baumeister, Sarah
A1  - Hohmann, Sarah
A1  - Jennen-Steinmetz, Christine
A1  - Wolf, Isabella
A1  - Rietschel, Marcella
A1  - Witt, Stephanie H.
A1  - Plichta, Michael M.
A1  - Meyer-Lindenberg, Andreas
A1  - Schmidt, Martin H.
A1  - Esser, Günter
A1  - Banaschewski, Tobias
A1  - Brandeis, Daniel
A1  - Laucht, Manfred
T1  - Evidence for a Sex-Dependent MAOAx Childhood Stress Interaction in the Neural Circuitry of Aggression
JF  - Cerebral cortex
N2  - Converging evidence emphasizes the role of an interaction between monoamine oxidase A (MAOA) genotype, environmental adversity, and sex in the pathophysiology of aggression. The present study aimed to clarify the impact of this interaction on neural activity in aggression-related brain systems. Functional magnetic resonance imaging was performed in 125 healthy adults from a high-risk community sample followed since birth. DNA was genotyped for the MAOA-VNTR (variable number of tandem repeats). Exposure to childhood life stress (CLS) between the ages of 4 and 11 years was assessed using a standardized parent interview, aggression by the Youth/Young Adult Self-Report between the ages of 15 and 25 years, and the VIRA-R (Vragenlijst Instrumentele En Reactieve Agressie) at the age of 15 years. Significant interactions were obtained between MAOA genotype, CLS, and sex relating to amygdala, hippocampus, and anterior cingulate cortex (ACC) response, respectively. Activity in the amygdala and hippocampus during emotional face-matching increased with the level of CLS in male MAOA-L, while decreasing in male MAOA-H, with the reverse pattern present in females. Findings in the opposite direction in the ACC during a flanker NoGo task suggested that increased emotional activity coincided with decreased inhibitory control. Moreover, increasing amygdala activity was associated with higher Y(A)SR aggression in male MAOA-L and female MAOA-H carriers. Likewise, a significant association between amygdala activity and reactive aggression was detected in female MAOA-H carriers. The results point to a moderating role of sex in the MAOAx CLS interaction for intermediate phenotypes of emotional and inhibitory processing, suggesting a possible mechanism in conferring susceptibility to violence-related disorders.
KW  - aggression
KW  - amygdala
KW  - fMRI
KW  - life stress
KW  - MAOA
Y1  - 2016
U6  - https://doi.org/10.1093/cercor/bhu249
SN  - 1047-3211
SN  - 1460-2199
VL  - 26
SP  - 904
EP  - 914
PB  - Oxford Univ. Press
CY  - Cary
ER  - 
TY  - JOUR
A1  - Kuik, Friderike
A1  - Lauer, Axel
A1  - Churkina, Galina
A1  - Van der Gon, Hugo A. C. Denier
A1  - Fenner, Daniel
A1  - Mar, Kathleen A.
A1  - Butler, Tim M.
T1  - Air quality modelling in the Berlin-Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data
JF  - Geoscientific model development : an interactive open access journal of the European Geosciences Union
N2  - Air pollution is the number one environmental cause of premature deaths in Europe. Despite extensive regulations, air pollution remains a challenge, especially in urban areas. For studying summertime air quality in the Berlin–Brandenburg region of Germany, the Weather Research and Forecasting Model with Chemistry (WRF-Chem) is set up and evaluated against meteorological and air quality observations from monitoring stations as well as from a field campaign conducted in 2014. The objective is to assess which resolution and level of detail in the input data is needed for simulating urban background air pollutant concentrations and their spatial distribution in the Berlin–Brandenburg area. The model setup includes three nested domains with horizontal resolutions of 15, 3 and 1 km and anthropogenic emissions from the TNO-MACC III inventory. We use RADM2 chemistry and the MADE/SORGAM aerosol scheme. Three sensitivity simulations are conducted updating input parameters to the single-layer urban canopy model based on structural data for Berlin, specifying land use classes on a sub-grid scale (mosaic option) and downscaling the original emissions to a resolution of ca. 1 km × 1 km for Berlin based on proxy data including traffic density and population density. The results show that the model simulates meteorology well, though urban 2 m temperature and urban wind speeds are biased high and nighttime mixing layer height is biased low in the base run with the settings described above. We show that the simulation of urban meteorology can be improved when specifying the input parameters to the urban model, and to a lesser extent when using the mosaic option. On average, ozone is simulated reasonably well, but maximum daily 8 h mean concentrations are underestimated, which is consistent with the results from previous modelling studies using the RADM2 chemical mechanism. Particulate matter is underestimated, which is partly due to an underestimation of secondary organic aerosols. NOx (NO + NO2) concentrations are simulated reasonably well on average, but nighttime concentrations are overestimated due to the model's underestimation of the mixing layer height, and urban daytime concentrations are underestimated. The daytime underestimation is improved when using downscaled, and thus locally higher emissions, suggesting that part of this bias is due to deficiencies in the emission input data and their resolution. The results further demonstrate that a horizontal resolution of 3 km improves the results and spatial representativeness of the model compared to a horizontal resolution of 15 km. With the input data (land use classes, emissions) at the level of detail of the base run of this study, we find that a horizontal resolution of 1 km does not improve the results compared to a resolution of 3 km. However, our results suggest that a 1 km horizontal model resolution could enable a detailed simulation of local pollution patterns in the Berlin–Brandenburg region if the urban land use classes, together with the respective input parameters to the urban canopy model, are specified with a higher level of detail and if urban emissions of higher spatial resolution are used.
Y1  - 2016
U6  - https://doi.org/10.5194/gmd-9-4339-2016
SN  - 1991-959X
SN  - 1991-9603
VL  - 9
SP  - 4339
EP  - 4363
PB  - Copernicus
CY  - Göttingen
ER  - 
TY  - JOUR
A1  - Soliveres, Santiago
A1  - van der Plas, Fons
A1  - Manning, Peter
A1  - Prati, Daniel
A1  - Gossner, Martin M.
A1  - Renner, Swen C.
A1  - Alt, Fabian
A1  - Arndt, Hartmut
A1  - Baumgartner, Vanessa
A1  - Binkenstein, Julia
A1  - Birkhofer, Klaus
A1  - Blaser, Stefan
A1  - Blüthgen, Nico
A1  - Boch, Steffen
A1  - Böhm, Stefan
A1  - Börschig, Carmen
A1  - Buscot, Francois
A1  - Diekötter, Tim
A1  - Heinze, Johannes
A1  - Hölzel, Norbert
A1  - Jung, Kirsten
A1  - Klaus, Valentin H.
A1  - Kleinebecker, Till
A1  - Klemmer, Sandra
A1  - Krauss, Jochen
A1  - Lange, Markus
A1  - Morris, E. Kathryn
A1  - Müller, Jörg
A1  - Oelmann, Yvonne
A1  - Overmann, Jörg
A1  - Pasalic, Esther
A1  - Rillig, Matthias C.
A1  - Schaefer, H. Martin
A1  - Schloter, Michael
A1  - Schmitt, Barbara
A1  - Schöning, Ingo
A1  - Schrumpf, Marion
A1  - Sikorski, Johannes
A1  - Socher, Stephanie A.
A1  - Solly, Emily F.
A1  - Sonnemann, Ilja
A1  - Sorkau, Elisabeth
A1  - Steckel, Juliane
A1  - Steffan-Dewenter, Ingolf
A1  - Stempfhuber, Barbara
A1  - Tschapka, Marco
A1  - Türke, Manfred
A1  - Venter, Paul C.
A1  - Weiner, Christiane N.
A1  - Weisser, Wolfgang W.
A1  - Werner, Michael
A1  - Westphal, Catrin
A1  - Wilcke, Wolfgang
A1  - Wolters, Volkmar
A1  - Wubet, Tesfaye
A1  - Wurst, Susanne
A1  - Fischer, Markus
A1  - Allan, Eric
T1  - Biodiversity at multiple trophic levels is needed for ecosystem multifunctionality
JF  - Nature : the international weekly journal of science
Y1  - 2016
U6  - https://doi.org/10.1038/nature19092
SN  - 0028-0836
SN  - 1476-4687
VL  - 536
SP  - 456
EP  - +
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Mieth, Bettina
A1  - Kloft, Marius
A1  - Rodriguez, Juan Antonio
A1  - Sonnenburg, Soren
A1  - Vobruba, Robin
A1  - Morcillo-Suarez, Carlos
A1  - Farre, Xavier
A1  - Marigorta, Urko M.
A1  - Fehr, Ernst
A1  - Dickhaus, Thorsten
A1  - Blanchard, Gilles
A1  - Schunk, Daniel
A1  - Navarro, Arcadi
A1  - Müller, Klaus-Robert
T1  - Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies
JF  - Scientific reports
N2  - The standard approach to the analysis of genome-wide association studies (GWAS) is based on testing each position in the genome individually for statistical significance of its association with the phenotype under investigation. To improve the analysis of GWAS, we propose a combination of machine learning and statistical testing that takes correlation structures within the set of SNPs under investigation in a mathematically well-controlled manner into account. The novel two-step algorithm, COMBI, first trains a support vector machine to determine a subset of candidate SNPs and then performs hypothesis tests for these SNPs together with an adequate threshold correction. Applying COMBI to data from a WTCCC study (2007) and measuring performance as replication by independent GWAS published within the 2008-2015 period, we show that our method outperforms ordinary raw p-value thresholding as well as other state-of-the-art methods. COMBI presents higher power and precision than the examined alternatives while yielding fewer false (i.e. non-replicated) and more true (i.e. replicated) discoveries when its results are validated on later GWAS studies. More than 80% of the discoveries made by COMBI upon WTCCC data have been validated by independent studies. Implementations of the COMBI method are available as a part of the GWASpi toolbox 2.0.
Y1  - 2016
U6  - https://doi.org/10.1038/srep36671
SN  - 2045-2322
VL  - 6
PB  - Nature Publ. Group
CY  - London
ER  -