TY - JOUR A1 - Pourteau, Amaury A1 - Scherer, Erik E. A1 - Schorn, Simon A1 - Bast, Rebecca A1 - Schmidt, Alexander A1 - Ebert, Lisa T1 - Thermal evolution of an ancient subduction interface revealed by Lu-Hf garnet geochronology, Halilbagi Complex (Anatolia) JF - Geoscience Frontiers N2 - The thermal structure of subduction zones exerts a major influence on deep-seated mechanical and chemical processes controlling arc magmatism, seismicity, and global element cycles. Accretionary complexes exposed inland may comprise tectonic blocks with contrasting pressure-temperature (P-T) histories, making it possible to investigate the dynamics and thermal evolution of former subduction interfaces. With this aim, we present new Lu-Hf geochronological results for mafic rocks of the Halilbagi Complex (Anatolia) that evolved along different thermal gradients. Samples include a lawsonite-epidote blueschist, a lawsonite-epidote eclogite, and an epidote eclogite (all with counter-clockwise P-T paths), a prograde lawsonite blueschist with a "hairpin"-type P-T path, and a garnet amphibolite from the overlying sub-ophiolitic metamorphic sole. Equilibrium phase diagrams suggest that the garnet amphibolite formed at similar to 0.6-0.7 GPa and 800-850 degrees C, whereas the prograde lawsonite blueschist records burial from 2.1 GPa and 420 degrees C to 2.6 GPa and 520 degrees C. Well-defined Lu-Hf isochrons were obtained for the epidote eclogite (92.38 +/- 0.22 Ma) and the lawsonite-epidote blueschist (90.19 +/- 0.54 Ma), suggesting rapid garnet growth. The lawsonite-epidote eclogite (87.30 +/- 0.39 Ma) and the prograde lawsonite blueschist (ca. 86 Ma) are younger, whereas the garnet amphibolite (104.5 +/- 3.5 Ma) is older. Our data reveal a consistent trend of progressively decreasing geothermal gradient from granulite-facies conditions at similar to 104 Ma to the epidote-eclogite facies around 92 Ma, and the lawsonite blueschist-facies between 90 Ma and 86 Ma. Three Lu-Hf garnet dates (between 92 Ma and 87 Ma) weighted toward the growth of post-peak rims (as indicated by Lu distribution in garnet) suggest that the HP/LT rocks were exhumed continuously and not episodically. We infer that HP/LT metamorphic rocks within the Halilbagi Complex were subjected to continuous return flow, with "warm" rocks being exhumed during the tectonic burial of "cold" ones. Our results, combined with regional geological constraints, allow us to speculate that subduction started at a transform fault near a mid-oceanic spreading centre. Following its formation, this ancient subduction interface evolved thermally over more than 15 Myr, most likely as a result of heat dissipation rather than crustal underplating. (C) 2018, China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. KW - Subduction KW - Lu/Hf dating of garnet KW - Metamorphic sole KW - Eclogite KW - Blueschist KW - Lawsonite Y1 - 2019 U6 - https://doi.org/10.1016/j.gsf.2018.03.004 SN - 1674-9871 VL - 10 IS - 1 SP - 127 EP - 148 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Foster, William J. A1 - Heindel, Katrin A1 - Richoz, Sylvain A1 - Gliwa, Jana A1 - Lehrmann, Daniel J. A1 - Baud, Aymon A1 - Kolar-Jurkovsek, Tea A1 - Aljinovic, Dunja A1 - Jurkovsek, Bogdan A1 - Korn, Dieter A1 - Martindale, Rowan C. A1 - Peckmann, Jörn T1 - Suppressed competitive exclusion enabled the proliferation of Permian/Triassic boundary microbialites JF - The Depositional Record : the open access journal of the International Association of Sedimentologists N2 - During the earliest Triassic microbial mats flourished in the photic zones of marginal seas, generating widespread microbialites. It has been suggested that anoxic conditions in shallow marine environments, linked to the end-Permian mass extinction, limited mat-inhibiting metazoans allowing for this microbialite expansion. The presence of a diverse suite of proxies indicating oxygenated shallow sea-water conditions (metazoan fossils, biomarkers and redox proxies) from microbialite successions have, however, challenged the inference of anoxic conditions. Here, the distribution and faunal composition of Griesbachian microbialites from China, Iran, Turkey, Armenia, Slovenia and Hungary are investigated to determine the factors that allowed microbialite-forming microbial mats to flourish following the end-Permian crisis. The results presented here show that Neotethyan microbial buildups record a unique faunal association due to the presence of keratose sponges, while the Palaeotethyan buildups have a higher proportion of molluscs and the foraminifera Earlandia. The distribution of the faunal components within the microbial fabrics suggests that, except for the keratose sponges and some microconchids, most of the metazoans were transported into the microbial framework via wave currents. The presence of both microbialites and metazoan associations were limited to oxygenated settings, suggesting that a factor other than anoxia resulted in a relaxation of ecological constraints following the mass extinction event. It is inferred that the end-Permian mass extinction event decreased the diversity and abundance of metazoans to the point of significantly reducing competition, allowing photosynthesis-based microbial mats to flourish in shallow water settings and resulting in the formation of widespread microbialites. KW - Competitive exclusion KW - Permian KW - Triassic KW - mass extinction KW - microbialites KW - palaeoecology Y1 - 2019 U6 - https://doi.org/10.1002/dep2.97 SN - 2055-4877 VL - 6 IS - 1 SP - 62 EP - 74 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Wendler, Petra A1 - Enenkel, Cordula T1 - Nuclear Transport of Yeast Proteasomes JF - Frontiers in molecular biosciences N2 - Proteasomes are key proteases in regulating protein homeostasis. Their holo-enzymes are composed of 40 different subunits which are arranged in a proteolytic core (CP) flanked by one to two regulatory particles (RP). Proteasomal proteolysis is essential for the degradation of proteins which control time-sensitive processes like cell cycle progression and stress response. In dividing yeast and human cells, proteasomes are primarily nuclear suggesting that proteasomal proteolysis is mainly required in the nucleus during cell proliferation. In yeast, which have a closed mitosis, proteasomes are imported into the nucleus as immature precursors via the classical import pathway. During quiescence, the reversible absence of proliferation induced by nutrient depletion or growth factor deprivation, proteasomes move from the nucleus into the cytoplasm. In the cytoplasm of quiescent yeast, proteasomes are dissociated into CP and RP and stored in membrane-less cytoplasmic foci, named proteasome storage granules (PSGs). With the resumption of growth, PSGs clear and mature proteasomes are transported into the nucleus by Blm10, a conserved 240 kDa protein and proteasome-intrinsic import receptor. How proteasomes are exported from the nucleus into the cytoplasm is unknown. KW - proteasome KW - nuclear transport KW - importin KW - karyopherin KW - Blm10 KW - proteasome storage granules Y1 - 2019 U6 - https://doi.org/10.3389/fmolb.2019.00034 SN - 2296-889X VL - 6 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Rosenbaum, Benjamin A1 - Raatz, Michael A1 - Weithoff, Guntram A1 - Fussmann, Gregor F. A1 - Gaedke, Ursula T1 - Estimating parameters from multiple time series of population dynamics using bayesian inference JF - Frontiers in ecology and evolution N2 - Empirical time series of interacting entities, e.g., species abundances, are highly useful to study ecological mechanisms. Mathematical models are valuable tools to further elucidate those mechanisms and underlying processes. However, obtaining an agreement between model predictions and experimental observations remains a demanding task. As models always abstract from reality one parameter often summarizes several properties. Parameter measurements are performed in additional experiments independent of the ones delivering the time series. Transferring these parameter values to different settings may result in incorrect parametrizations. On top of that, the properties of organisms and thus the respective parameter values may vary considerably. These issues limit the use of a priori model parametrizations. In this study, we present a method suited for a direct estimation of model parameters and their variability from experimental time series data. We combine numerical simulations of a continuous-time dynamical population model with Bayesian inference, using a hierarchical framework that allows for variability of individual parameters. The method is applied to a comprehensive set of time series from a laboratory predator-prey system that features both steady states and cyclic population dynamics. Our model predictions are able to reproduce both steady states and cyclic dynamics of the data. Additionally to the direct estimates of the parameter values, the Bayesian approach also provides their uncertainties. We found that fitting cyclic population dynamics, which contain more information on the process rates than steady states, yields more precise parameter estimates. We detected significant variability among parameters of different time series and identified the variation in the maximum growth rate of the prey as a source for the transition from steady states to cyclic dynamics. By lending more flexibility to the model, our approach facilitates parametrizations and shows more easily which patterns in time series can be explained also by simple models. Applying Bayesian inference and dynamical population models in conjunction may help to quantify the profound variability in organismal properties in nature. KW - Bayesian inference KW - chemostat experiments KW - ordinary differential equation KW - parameter estimation KW - population dynamics KW - predator prey KW - time series analysis KW - trait variability Y1 - 2019 U6 - https://doi.org/10.3389/fevo.2018.00234 SN - 2296-701X VL - 6 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Perkins, Daniel M. A1 - Perna, Andrea A1 - Adrian, Rita A1 - Cermeno, Pedro A1 - Gaedke, Ursula A1 - Huete-Ortega, Maria A1 - White, Ethan P. A1 - Yvon-Durocher, Gabriel T1 - Energetic equivalence underpins the size structure of tree and phytoplankton communities JF - Nature Communications N2 - The size structure of autotroph communities - the relative abundance of small vs. large individuals - shapes the functioning of ecosystems. Whether common mechanisms underpin the size structure of unicellular and multicellular autotrophs is, however, unknown. Using a global data compilation, we show that individual body masses in tree and phytoplankton communities follow power-law distributions and that the average exponents of these individual size distributions (ISD) differ. Phytoplankton communities are characterized by an average ISD exponent consistent with three-quarter-power scaling of metabolism with body mass and equivalence in energy use among mass classes. Tree communities deviate from this pattern in a manner consistent with equivalence in energy use among diameter size classes. Our findings suggest that whilst universal metabolic constraints ultimately underlie the emergent size structure of autotroph communities, divergent aspects of body size (volumetric vs. linear dimensions) shape the ecological outcome of metabolic scaling in forest vs. pelagic ecosystems. Y1 - 2019 U6 - https://doi.org/10.1038/s41467-018-08039-3 SN - 2041-1723 VL - 10 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Wickert, Andrew D. A1 - Schildgen, Taylor F. T1 - Long-profile evolution of transport-limited gravel-bed rivers JF - Earth surface dynamics N2 - Alluvial and transport-limited bedrock rivers constitute the majority of fluvial systems on Earth. Their long profiles hold clues to their present state and past evolution. We currently possess first-principles-based governing equations for flow, sediment transport, and channel morphodynamics in these systems, which we lack for detachment-limited bedrock rivers. Here we formally couple these equations for transport-limited gravel-bed river long-profile evolution. The result is a new predictive relationship whose functional form and parameters are grounded in theory and defined through experimental data. From this, we produce a power-law analytical solution and a finite-difference numerical solution to long-profile evolution. Steady-state channel concavity and steepness are diagnostic of external drivers: concavity decreases with increasing uplift rate, and steepness increases with an increasing sediment-to-water supply ratio. Constraining free parameters explains common observations of river form: to match observed channel concavities, gravel-sized sediments must weather and fine - typically rapidly - and valleys typically should widen gradually. To match the empirical square-root width-discharge scaling in equilibrium-width gravel-bed rivers, downstream fining must occur. The ability to assign a cause to such observations is the direct result of a deductive approach to developing equations for landscape evolution. Y1 - 2019 U6 - https://doi.org/10.5194/esurf-7-17-2019 SN - 2196-6311 SN - 2196-632X VL - 7 IS - 1 SP - 17 EP - 43 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Lonsdorf, Tina B. A1 - Klingelhöfer-Jens, Maren A1 - Andreatta, Marta A1 - Beckers, Tom A1 - Chalkia, Anastasia A1 - Gerlicher, Anna A1 - Jentsch, Valerie L. A1 - Drexler, Shira Meir A1 - Mertens, Gaetan A1 - Richter, Jan A1 - Sjouwerman, Rachel A1 - Wendt, Julia A1 - Merz, Christian J. T1 - Navigating the garden of forking paths for data exclusions in fear conditioning research JF - eLife N2 - In this report, we illustrate the considerable impact of researcher degrees of freedom with respect to exclusion of participants in paradigms with a learning element. We illustrate this empirically through case examples from human fear conditioning research, in which the exclusion of ‘non-learners’ and ‘non-responders’ is common – despite a lack of consensus on how to define these groups. We illustrate the substantial heterogeneity in exclusion criteria identified in a systematic literature search and highlight the potential problems and pitfalls of different definitions through case examples based on re-analyses of existing data sets. On the basis of these studies, we propose a consensus on evidence-based rather than idiosyncratic criteria, including clear guidelines on reporting details. Taken together, we illustrate how flexibility in data collection and analysis can be avoided, which will benefit the robustness and replicability of research findings and can be expected to be applicable to other fields of research that involve a learning element. Y1 - 2019 U6 - https://doi.org/10.7554/eLife.52465 SN - 2050-084X VL - 8 PB - eLife Sciences Publications CY - Cambridge ER - TY - JOUR A1 - Lonsdorf, Tina B. A1 - Klingelhöfer-Jens, Maren A1 - Andreatta, Marta A1 - Beckers, Tom A1 - Chalkia, Anastasia A1 - Gerlicher, Anna Maria Veronika A1 - Jentsch, Valerie L. A1 - Drexler, Shira Meir A1 - Mertens, Gaetan A1 - Richter, Jan A1 - Sjouwerman, Rachel A1 - Wendt, Julia A1 - Merz, Christian J. T1 - Navigating the garden of forking paths for data exclusions in fear conditioning research JF - eLife Y1 - 2019 U6 - https://doi.org/10.7554/eLife.52465 SN - 2050-084X VL - 8 PB - eLife Sciences Publications CY - Cambridge ER - TY - JOUR A1 - Günther, Erika A1 - Klauß, André A1 - Toro-Nahuelpan, Mauricio A1 - Schüler, Dirk A1 - Hille, Carsten A1 - Faivre, Damien T1 - The in vivo mechanics of the magnetotactic backbone as revealed by correlative FLIM-FRET and STED microscopy JF - Scientific reports N2 - Protein interaction and protein imaging strongly benefit from the advancements in time-resolved and superresolution fluorescence microscopic techniques. However, the techniques were typically applied separately and ex vivo because of technical challenges and the absence of suitable fluorescent protein pairs. Here, we show correlative in vivo fluorescence lifetime imaging microscopy Forster resonance energy transfer (FLIM-FRET) and stimulated emission depletion (STED) microscopy to unravel protein mechanics and structure in living cells. We use magnetotactic bacteria as a model system where two proteins, MamJ and MamK, are used to assemble magnetic particles called magnetosomes. The filament polymerizes out of MamK and the magnetosomes are connected via the linker MamJ. Our system reveals that bacterial filamentous structures are more fragile than the connection of biomineralized particles to this filament. More importantly, we anticipate the technique to find wide applicability for the study and quantification of biological processes in living cells and at high resolution. Y1 - 2019 U6 - https://doi.org/10.1038/s41598-019-55804-5 SN - 2045-2322 VL - 9 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Thomas, Jessica E. A1 - Carvalho, Gary R. A1 - Haile, James A1 - Rawlence, Nicolas J. A1 - Martin, Michael D. A1 - Ho, Simon Y. W. A1 - Sigfusson, Arnor P. A1 - Josefsson, Vigfus A. A1 - Frederiksen, Morten A1 - Linnebjerg, Jannie F. A1 - Castruita, Jose A. Samaniego A1 - Niemann, Jonas A1 - Sinding, Mikkel-Holger S. A1 - Sandoval-Velasco, Marcela A1 - Soares, Andre E. R. A1 - Lacy, Robert A1 - Barilaro, Christina A1 - Best, Juila A1 - Brandis, Dirk A1 - Cavallo, Chiara A1 - Elorza, Mikelo A1 - Garrett, Kimball L. A1 - Groot, Maaike A1 - Johansson, Friederike A1 - Lifjeld, Jan T. A1 - Nilson, Goran A1 - Serjeanston, Dale A1 - Sweet, Paul A1 - Fuller, Errol A1 - Hufthammer, Anne Karin A1 - Meldgaard, Morten A1 - Fjeldsa, Jon A1 - Shapiro, Beth A1 - Hofreiter, Michael A1 - Stewart, John R. A1 - Gilbert, M. Thomas P. A1 - Knapp, Michael T1 - Demographic reconstruction from ancient DNA supports rapid extinction of the great auk JF - eLife N2 - The great auk was once abundant and distributed across the North Atlantic. It is now extinct, having been heavily exploited for its eggs, meat, and feathers. We investigated the impact of human hunting on its demise by integrating genetic data, GPS-based ocean current data, and analyses of population viability. We sequenced complete mitochondrial genomes of 41 individuals from across the species' geographic range and reconstructed population structure and population dynamics throughout the Holocene. Taken together, our data do not provide any evidence that great auks were at risk of extinction prior to the onset of intensive human hunting in the early 16th century. In addition, our population viability analyses reveal that even if the great auk had not been under threat by environmental change, human hunting alone could have been sufficient to cause its extinction. Our results emphasise the vulnerability of even abundant and widespread species to intense and localised exploitation. Y1 - 2019 U6 - https://doi.org/10.7554/eLife.47509 SN - 2050-084X VL - 8 PB - eLife Sciences Publications CY - Cambridge ER -