Divalent metal transport in the green microalga Chlamydomonas reinhardtii is mediated by a protein similar to prokaryotic Nramp homologues

Information about the molecular mechanisms of metal transport in algae is scarce, despite the significant status these organisms have in aquatic ecosystems. In the present study, we describe the cloning and functional characterization of a divalent metal transporter (named DMT1) in the green microalga Chlamydomonas reinhardtii Dangeard. The longest open reading frame of the cloned DMT1 cDNA encodes a protein of 513 amino acids with 11 putative transmembrane domains. The protein belongs to the Nramp family of divalent metal transporters and shows surprisingly higher similarity to some prokaryotic than to eukaryotic polypeptides. Especially the N-terminus, which is longer than of every other homologue considered in this study, displays - uniquely among selected eukaryotic Nramps - exclusively prokaryotic characteristics. Functional complementation experiments in yeast strains with impaired metal transport systems, revealed that C. reinhardtii DMT1 has a broad specificity, acting in the transport of several divalent metals (manganese, iron, cadmium, copper), but excluding zin

Enhanced olivine weathering in permeable sandy sediments from the North Sea – a laboratory study using flow-through reactors

The Earth’s climate is increasingly warming due to ongoing anthropogenic carbon dioxide (CO2) emissions. In order to mitigate the human-made climate change and to meet the Paris Agreement goals of limiting the warming below 2°C, active carbon dioxide removal (CDR) from the atmosphere is of great importance in addition to massive CO2 emission reductions. A possible CDR method is rock weathering and the associated dissolution of minerals in the ocean, which leads to marine alkalinity enhancement and, thus, an enhanced flux of CO2 from the atmosphere into the ocean. In the framework of the project RETAKE, a consortium of the German Marine Research Alliance (DAM) research mission CDRmare, we investigate the potential, feasibility and side effects of olivine dissolution in high-energy coastal environments where strong currents and advection of seawater through permeable sediments have been proposed to accelerate weathering of silicate rocks. Here, we present data from laboratory experiments with flow-through reactors that are filled with permeable sandy sediments from the North Sea amended with different amounts and grain sizes of olivine. Permeable sediments are generally characterized by advective pore-water flow. Under advective conditions, higher weathering rates than those found in diffusion-controlled depositional settings are expected since the reaction products are rapidly removed and the formation of authigenic mineral coatings on olivine grains is prevented. The flow-through experiments are conducted under oxic conditions whereby air-saturated natural seawater is continuously pumped through the reactors. In addition to the permanent measurement of oxygen, pH and temperature, the circulating water is regularly sampled and alkalinity, dissolved inorganic carbon, major cation and trace metal (e.g., nickel) concentrations are analyzed. Preliminary results indicate an increase in alkalinity up to 3.2 mM in the reactor with the largest amount of olivine while the alkalinity in the control reactor (without olivine addition) is close to background seawater concentrations of 2.3 mM. Similarly, highest dissolved nickel concentrations were found in the reactor with highest olivine contents added. In order to detect and characterize secondary minerals that possibly formed, the sediment/olivine mixtures are sampled after completion of the experiments and analyzed with respect to the mineralogical and chemical composition

Effect of the Salmonella Pathogenicity Island 2 Type III Secretion System on Salmonella Survival in Activated Chicken Macrophage-Like HD11 Cells

In order to better identify the role of the Salmonella pathogenicity island 2 (SPI-2) type III secretion system (T3SS) in chickens, we used the well-known gentamicin protection assay with activated HD11 cells. HD11 cells are a macrophage-like chicken cell line that can be stimulated with phorbol 12-myristate 13-acetate (PMA) to exhibit more macrophage-like morphology and greater production of reactive oxygen species (ROS). Activated HD11 cells were infected with a wild-type Salmonella enterica subspecies enterica serovar Typhimurium (S. Typhimurium) strain, a SPI-2 mutant S. Typhimurium strain, a wild-type Salmonella enterica subspecies enterica serovar Enteritidis (S. Enteritidis) strain, a SPI-2 mutant S. Enteritidis strain, or a non-pathogenic Escherichia coli (E. coli) strain. SPI-2 mutant strains were found to survive as well as their parent strain at all time points post-uptake (PU) by the HD11 cells, up to 24 h PU, while the E. coli strain was no longer recoverable by 3 h PU. We can conclude from these observations that the SPI-2 T3SS of S. Typhimurium and S. Enteritidis is not important for survival of Salmonella in the activated macrophage-like HD11 cell line, and that Salmonella must employ other mechanisms for survival in this environment, as E. coli is effectively eliminated

NeuroExaminer: an all-glass microfluidic device for whole-brain in vivo imaging in zebrafish

While microfluidics enables chemical stimuli application with high spatio-temporal precision, light-sheet microscopy allows rapid imaging of entire zebrafish brains with cellular resolution. Both techniques, however, have not been combined to monitor whole-brain neural activity yet. Unlike conventional microfluidics, we report here an all-glass device (NeuroExaminer) that is compatible with whole-brain in vivo imaging using light-sheet microscopy and can thus provide insights into brain function in health and disease

Short-circuit mechanical effects on outdoor HV substations with wide bundling.

peer reviewedThis paper presents results of a research project investigating the mechanical effects of short-circuit currents in high-voltage substations with conductor bundles. The experimental part was performed on two set-ups, called "100 kV arrangement" and "400 kV arrangement". Those two set-ups differed in the height of the crossarm, the phase-to-phase distance and the conductor sag. Additional parameters which were varied in the course of the experiments included the level and duration of the short-circuit current, the type and number of the spacers used and the bundle spacing. Various forces in the flexible busbar and the supporting structure were recorded during the tests and the stiffness as well as the eigenfrequency of the portals used for supporting the conductors were determined. The test results were evaluated with respect to the maxima of the pinch force, the tensile force and the drop force. They are presented and compared with existing assumptions and calculation methods. The results of this project shall enable IEC standardization committees and CIGRE working groups to carry on with their intended studies and establish a comprehensive method of calculating the mechanical effects in substations with bundle conductors

DynaMod: Dynamische Analyse für modellgetriebene Software-Modernisierung

Erfolgreiche Softwaresysteme leben lange. Gleichzeitig sind diese jedoch der enormen Geschwindigkeit der Fortentwicklung der technischen Komponenten und Plattformen unterworfen, so dass die Anwendungen technisch sehr schnell altern. Von dieser Alterung sind jedoch nicht nur Programmiertechniken betroffen, sondern auch die Softwarearchitekturen erodieren sehr schnell. Um dieser Alterung entgegenzuwirken, neue technologische Potentiale zu nutzen und auch auf zukünftige Anforderungen flexibel reagieren zu können, ist eine kontinuierliche Modernisierung von Softwaresystemen erforderlich. Bei der Neuentwicklung von Softwaresystemen hat sich mit der Modellgetriebenen Softwareentwicklung (Model-Driven Software Development, MDSD) ein Konzept etabliert, das eine elegante Lösung dieser Problematik bietet: Anstatt das System vollständig in einer technischen Programmiersprache zu entwickeln, werden fachliche Aspekte mittels geeigneter, abstrakter Modellierungssprachen dargestellt. Hierbei handelt es sich oftmals um sogenannte domänenspezifische Sprachen (Domain Specific Languages, DSLs), die speziell auf die betreffende Anwendungsdomäne zugeschnitten sind und dadurch eine knappe und präzise Formulierung der relevanten Sachverhalte ermöglichen. Die Überführung dieser abstrakten Modelle in technische Artefakte, beispielsweise Quellcode in einer Programmiersprache, wird automatisiert durch Codegeneratoren vorgenommen. Auf diese Weise ist es möglich, durch Anpassung der Generatoren die Implementierung der Modelle zu verändern, ohne Modifikationen an den zugrundeliegenden Modellen vornehmen zu müssen. Im Gegensatz zu Neuentwicklungen stehen bei vielen Bestandssystemen keine derartigen Modelle zur Verfügung. Klassische Ansätze der Modernisierung von Bestandssystemen versuchen stattdessen, die im Quellcode unmittelbar codierten Strukturen des bestehenden Systems automatisiert in Quellcode des Neusystems zu überführen. Da durch diesen Ansatz eine Transformation auf sehr elementarer Ebene stattfindet, kann dieser Ansatz der zuvor erwähnten Erosion der Anwendungsarchitektur nicht begegnen. Zudem ist auch die Übertragung elementarer Strukturen zwischen Programmiersprachen nicht trivial; häufig muss in der Zielsprache das originäre Konstrukt mit zusätzlichem Aufwand simuliert werden. Dadurch kommt es zu einer Aufblähung des Quellcodes, was der Wartbarkeit abträglich ist. Zuletzt bleiben technologische Potentiale der Zielplattform häufig ungenutzt, da das ursprüngliche System letztlich strukturuell unverändert übertragen wird. Im DynaMod-Projekt wurde mit der modellgetriebenen Modernisierung (Model Driven Modernisation, MDM) ein neuer, innovativer Ansatz untersucht, Modelle aus bestehenden Softwaresystemen abzuleiten, die in einem MDSD-Prozess genutzt werden können und dem Bestandssystem auf diese Weise die zuvor beschriebene Flexibilität der Implementierung verleiht. Zur Ableitung dieser Modelle werden nicht nur die statischen Strukturen des Softwaresystems betrachtet; ein besonderer Schwerpunkt ist die Nutzung dynamischer Analyseverfahren, d.h. der Untersuchung des Verhaltens des Softwaresystems zur Laufzeit. Diese dynamischen Analysen erlauben Einblick in die tatsächliche Nutzung des Systems durch die Nutzer und produziert somit Informationen, die zur Modernisierung eines Systems unabdingbar sind. Von besonderem Interesse ist eine gleichzeitige Betrachtung statisch und dynamisch gewonnener Informationen, eine sogenannte hybride Analyse. Hierbei entfaltet die Nutzung abstrakter Modelle eine besondere Stärke, da die Modelle eine Plattform bieten, auf der die verschiedenen Daten zusammengeführt werden können. Auch Daten aus anderen Quellen, beispielsweise Expertenwissen, können den Modellen hinzugefügt werden und führen Wissen auf der Semantikebene hinzu, das automatisiert nicht erhoben werden kann. Auf diese Weise zeigen die Modelle ein strukturiertes und umfangreiches Bild der Anwendung, das als Grundlage für eine Modernisierung dienen kann. Neben der eigentlichen Modernisierung lag ein weiterer Fokus auf der Nutzung der gewonnenen Analysedaten zum systematischen Testen der modernisierten Anwendung. Hier bestand das Ziel darin, Methoden zu entwickeln und zu erproben, die Tests zur Prüfung funktionaler und nicht-funktionaler Eigenschaften der Anwendung aus den Analysedaten generieren können

Expertise – Förderung von Lesekompetenz

Die in vielen Facetten unbefriedigenden Ergebnisse zur Lesekompetenz von Jugendlichen in Deutschland stellen den Ausgangspunkt für die vorliegende Expertise zum Thema „Förderung von Lesekompetenz“ dar, die vom Bundesministerium für Bildung und Forschung in Auftrag gegeben wurde. Das Ziel der Expertise gilt dem Nachweis, welche Möglichkeiten der Förderung von Lesekompetenz existieren, die die umfangreichen Länderaktivitäten der Förderung sinnvoll ergänzen. (DIPF/Orig.

PetaFLOP Molecular Dynamics for Engineering Applications

Molecular dynamics (MD) simulations enable the investigation of multicomponent and multiphase processes relevant to engineering applications, such as droplet coalescence or bubble formation. These scenarios require the simulation of ensembles containing a large number of molecules. We present recent advances within the MD framework ls1 mardyn which is being developed with particular regard to this class of problems. We discuss several OpenMP schemes that deliver optimal performance at node-level. We have further introduced nonblocking communication and communication hiding for global collective operations. Together with revised data structures and vectorization, these improvements unleash PetaFLOP performance and enable multi-trillion atom simulations on the HLRS supercomputer Hazel Hen. We further present preliminary results achieved for droplet coalescence scenarios at a smaller scale.BMBF, 01IH16008, Verbundprojekt: TaLPas - Task-basierte Lastverteilung und Auto-Tuning in der Partikelsimulatio

Multi-omics Reveals the Lifestyle of the Acidophilic, Mineral-Oxidizing Model Species Leptospirillum ferriphilumT.

Leptospirillum ferriphilum plays a major role in acidic, metal-rich environments, where it represents one of the most prevalent iron oxidizers. These milieus include acid rock and mine drainage as well as biomining operations. Despite its perceived importance, no complete genome sequence of the type strain of this model species is available, limiting the possibilities to investigate the strategies and adaptations that Leptospirillum ferriphilum DSM 14647T (here referred to as Leptospirillum ferriphilum T) applies to survive and compete in its niche. This study presents a complete, circular genome of Leptospirillum ferriphilum T obtained by PacBio single-molecule real-time (SMRT) long-read sequencing for use as a high-quality reference. Analysis of the functionally annotated genome, mRNA transcripts, and protein concentrations revealed a previously undiscovered nitrogenase cluster for atmospheric nitrogen fixation and elucidated metabolic systems taking part in energy conservation, carbon fixation, pH homeostasis, heavy metal tolerance, the oxidative stress response, chemotaxis and motility, quorum sensing, and biofilm formation. Additionally, mRNA transcript counts and protein concentrations were compared between cells grown in continuous culture using ferrous iron as the substrate and those grown in bioleaching cultures containing chalcopyrite (CuFeS2). Adaptations of Leptospirillum ferriphilum T to growth on chalcopyrite included the possibly enhanced production of reducing power, reduced carbon dioxide fixation, as well as elevated levels of RNA transcripts and proteins involved in heavy metal resistance, with special emphasis on copper efflux systems. Finally, the expression and translation of genes responsible for chemotaxis and motility were enhanced.IMPORTANCE Leptospirillum ferriphilum is one of the most important iron oxidizers in the context of acidic and metal-rich environments during moderately thermophilic biomining. A high-quality circular genome of Leptospirillum ferriphilum T coupled with functional omics data provides new insights into its metabolic properties, such as the novel identification of genes for atmospheric nitrogen fixation, and represents an essential step for further accurate proteomic and transcriptomic investigation of this acidophile model species in the future. Additionally, light is shed on adaptation strategies of Leptospirillum ferriphilum T for growth on the copper mineral chalcopyrite. These data can be applied to deepen our understanding and optimization of bioleaching and biooxidation, techniques that present sustainable and environmentally friendly alternatives to many traditional methods for metal extraction