TY - GEN A1 - Blenau, Wolfgang A1 - Grohmann, Lore A1 - Erber, Joachim A1 - Ebert, Paul R. A1 - Strünker, Timo A1 - Baumann, Arnd T1 - Molecular and functional characterization of an octopamine receptor from honeybee (Apis mellifera) brain N2 - Biogenic amines and their receptors regulate and modulate many physiological and behavioural processes in animals. In vertebrates, octopamine is only found in trace amounts and its function as a true neurotransmitter is unclear. In protostomes, however, octopamine can act as neurotransmitter, neuromodulator and neurohormone. In the honeybee, octopamine acts as a neuromodulator and is involved in learning and memory formation. The identification of potential octopamine receptors is decisive for an understanding of the cellular pathways involved in mediating the effects of octopamine. Here we report the cloning and functional characterization of the first octopamine receptor from the honeybee, Apis mellifera . The gene was isolated from a brain-specific cDNA library. It encodes a protein most closely related to octopamine receptors from Drosophila melanogaster and Lymnea stagnalis . Signalling properties of the cloned receptor were studied in transiently transfected human embryonic kidney (HEK) 293 cells. Nanomolar to micromolar concentrations of octopamine induced oscillatory increases in the intracellular Ca2+ concentration. In contrast to octopamine, tyramine only elicited Ca2+ responses at micromolar concentrations. The gene is abundantly expressed in many somata of the honeybee brain, suggesting that this octopamine receptor is involved in the processing of sensory inputs, antennal motor outputs and higher-order brain functions. KW - Biogenic amine KW - Ca2+ KW - cyclic AMP KW - G protein-coupled receptor KW - insect Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-44293 ER - TY - JOUR A1 - Dengler, Jürgen A1 - Wagner, Viktoria A1 - Dembicz, Iwona A1 - Garcia-Mijangos, Itziar A1 - Naqinezhad, Alireza A1 - Boch, Steffen A1 - Chiarucci, Alessandro A1 - Conradi, Timo A1 - Filibeck, Goffredo A1 - Guarino, Riccardo A1 - Janisova, Monika A1 - Steinbauer, Manuel J. A1 - Acic, Svetlana A1 - Acosta, Alicia T. R. A1 - Akasaka, Munemitsu A1 - Allers, Marc-Andre A1 - Apostolova, Iva A1 - Axmanova, Irena A1 - Bakan, Branko A1 - Baranova, Alina A1 - Bardy-Durchhalter, Manfred A1 - Bartha, Sandor A1 - Baumann, Esther A1 - Becker, Thomas A1 - Becker, Ute A1 - Belonovskaya, Elena A1 - Bengtsson, Karin A1 - Benito Alonso, Jose Luis A1 - Berastegi, Asun A1 - Bergamini, Ariel A1 - Bonini, Ilaria A1 - Bruun, Hans Henrik A1 - Budzhak, Vasyl A1 - Bueno, Alvaro A1 - Antonio Campos, Juan A1 - Cancellieri, Laura A1 - Carboni, Marta A1 - Chocarro, Cristina A1 - Conti, Luisa A1 - Czarniecka-Wiera, Marta A1 - De Frenne, Pieter A1 - Deak, Balazs A1 - Didukh, Yakiv P. A1 - Diekmann, Martin A1 - Dolnik, Christian A1 - Dupre, Cecilia A1 - Ecker, Klaus A1 - Ermakov, Nikolai A1 - Erschbamer, Brigitta A1 - Escudero, Adrian A1 - Etayo, Javier A1 - Fajmonova, Zuzana A1 - Felde, Vivian A. A1 - Fernandez Calzado, Maria Rosa A1 - Finckh, Manfred A1 - Fotiadis, Georgios A1 - Fracchiolla, Mariano A1 - Ganeva, Anna A1 - Garcia-Magro, Daniel A1 - Gavilan, Rosario G. A1 - Germany, Markus A1 - Giladi, Itamar A1 - Gillet, Francois A1 - Giusso del Galdo, Gian Pietro A1 - Gonzalez, Jose M. A1 - Grytnes, John-Arvid A1 - Hajek, Michal A1 - Hajkova, Petra A1 - Helm, Aveliina A1 - Herrera, Mercedes A1 - Hettenbergerova, Eva A1 - Hobohm, Carsten A1 - Huellbusch, Elisabeth M. A1 - Ingerpuu, Nele A1 - Jandt, Ute A1 - Jeltsch, Florian A1 - Jensen, Kai A1 - Jentsch, Anke A1 - Jeschke, Michael A1 - Jimenez-Alfaro, Borja A1 - Kacki, Zygmunt A1 - Kakinuma, Kaoru A1 - Kapfer, Jutta A1 - Kavgaci, Ali A1 - Kelemen, Andras A1 - Kiehl, Kathrin A1 - Koyama, Asuka A1 - Koyanagi, Tomoyo F. A1 - Kozub, Lukasz A1 - Kuzemko, Anna A1 - Kyrkjeeide, Magni Olsen A1 - Landi, Sara A1 - Langer, Nancy A1 - Lastrucci, Lorenzo A1 - Lazzaro, Lorenzo A1 - Lelli, Chiara A1 - Leps, Jan A1 - Loebel, Swantje A1 - Luzuriaga, Arantzazu L. A1 - Maccherini, Simona A1 - Magnes, Martin A1 - Malicki, Marek A1 - Marceno, Corrado A1 - Mardari, Constantin A1 - Mauchamp, Leslie A1 - May, Felix A1 - Michelsen, Ottar A1 - Mesa, Joaquin Molero A1 - Molnar, Zsolt A1 - Moysiyenko, Ivan Y. A1 - Nakaga, Yuko K. A1 - Natcheva, Rayna A1 - Noroozi, Jalil A1 - Pakeman, Robin J. A1 - Palpurina, Salza A1 - Partel, Meelis A1 - Paetsch, Ricarda A1 - Pauli, Harald A1 - Pedashenko, Hristo A1 - Peet, Robert K. A1 - Pielech, Remigiusz A1 - Pipenbaher, Natasa A1 - Pirini, Chrisoula A1 - Pleskova, Zuzana A1 - Polyakova, Mariya A. A1 - Prentice, Honor C. A1 - Reinecke, Jennifer A1 - Reitalu, Triin A1 - Pilar Rodriguez-Rojo, Maria A1 - Rolecek, Jan A1 - Ronkin, Vladimir A1 - Rosati, Leonardo A1 - Rosen, Ejvind A1 - Ruprecht, Eszter A1 - Rusina, Solvita A1 - Sabovljevic, Marko A1 - Maria Sanchez, Ana A1 - Savchenko, Galina A1 - Schuhmacher, Oliver A1 - Skornik, Sonja A1 - Sperandii, Marta Gaia A1 - Staniaszek-Kik, Monika A1 - Stevanovic-Dajic, Zora A1 - Stock, Marin A1 - Suchrow, Sigrid A1 - Sutcliffe, Laura M. E. A1 - Swacha, Grzegorz A1 - Sykes, Martin A1 - Szabo, Anna A1 - Talebi, Amir A1 - Tanase, Catalin A1 - Terzi, Massimo A1 - Tolgyesi, Csaba A1 - Torca, Marta A1 - Torok, Peter A1 - Tothmeresz, Bela A1 - Tsarevskaya, Nadezda A1 - Tsiripidis, Ioannis A1 - Tzonev, Rossen A1 - Ushimaru, Atushi A1 - Valko, Orsolya A1 - van der Maarel, Eddy A1 - Vanneste, Thomas A1 - Vashenyak, Iuliia A1 - Vassilev, Kiril A1 - Viciani, Daniele A1 - Villar, Luis A1 - Virtanen, Risto A1 - Kosic, Ivana Vitasovic A1 - Wang, Yun A1 - Weiser, Frank A1 - Went, Julia A1 - Wesche, Karsten A1 - White, Hannah A1 - Winkler, Manuela A1 - Zaniewski, Piotr T. A1 - Zhang, Hui A1 - Ziv, Yaron A1 - Znamenskiy, Sergey A1 - Biurrun, Idoia T1 - GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands JF - Phytocoenologia N2 - GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board. KW - biodiversity KW - European Vegetation Archive (EVA) KW - Eurasian Dry Grassland Group (EDGG) KW - grassland vegetation KW - GrassPlot KW - macroecology KW - multi-taxon KW - nested plot KW - scale-dependence KW - species-area relationship (SAR) KW - sPlot KW - vegetation-plot database Y1 - 2018 U6 - https://doi.org/10.1127/phyto/2018/0267 SN - 0340-269X VL - 48 IS - 3 SP - 331 EP - 347 PB - Cramer CY - Stuttgart ER - TY - JOUR A1 - Ward, Nigel G. A1 - Vega, Alejandro A1 - Baumann, Timo T1 - Prosodic and temporal features for language modeling for dialog JF - Speech communication N2 - If we can model the cognitive and communicative processes underlying speech, we should be able to better predict what a speaker will do. With this idea as inspiration, we examine a number of prosodic and timing features as potential sources of information on what words the speaker is likely to say next. In spontaneous dialog we find that word probabilities do vary with such features. Using perplexity as the metric, the most informative of these included recent speaking rate, volume, and pitch, and time until end of utterance. Using simple combinations of such features to augment trigram language models gave up to a 8.4% perplexity benefit on the Switchboard corpus, and up to a 1.0% relative reduction in word error rate (0.3% absolute) on the Verbmobil II corpus. KW - Dialog dynamics KW - Dialog state KW - Prosody KW - Interlocutor behavior KW - Word probabilities KW - Prediction KW - Perplexity KW - Speech recognition KW - Switchboard corpus KW - Verbmobil corpus Y1 - 2012 U6 - https://doi.org/10.1016/j.specom.2011.07.009 SN - 0167-6393 VL - 54 IS - 2 SP - 161 EP - 174 PB - Elsevier CY - Amsterdam ER -