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Seit 12 Jahren werden von Mitgliedern der Eurasian Dry Grassland Group (EDGG) und deren Vorgängerorganisationen Grasland-Sonderteile in Tuexenia herausgegeben. Der diesjährige Sonderteil enthält fünf Artikel, die das Grasland verschiedener mitteleuropäischer Länder mit unterschiedlichen Zielen untersuchen. Der erste Artikel untersucht Auswirkungen von Weide und Mahd auf die Diversität des Graslands in Deutschland in Abhängigkeit von verschiedenen Umweltfaktoren, der zweite die Auswirkung kleiner Büsche auf den Artenreichtum von Gefäßpflanzen in beweideten Wiesensteppen in Ungarn. Der dritte Artikel fragt, ob sich ungarische Sandtrockenrasen mit Festuca vaginata von solchen mit F. pseudovaginata in ihrer Vegetation und ihren Standortsbedingungen unterscheiden; die letztere war erst kürzlich beschrieben worden. Der vierte Artikel modelliert Auswirkungen des Klimawandels auf geschützte Graslandbestände in Serbien und deren Arten während schließlich der fünfte Artikel die Initiative einer neuen Datenbank des deutschen Graslands (GrassVeg.DE) vorstellt und dazu aufruft, sich daran zu beteiligen. Insgesamt haben zu diesem 12. Grasland-Sonderteil 41 Autoren aus fünf Ländern (Dänemark, Deutschland, Italien, Schweiz, Serbien und Ungarn) beigetragen.
Der Harz wurde über Jahrhunderte durch intensiven Bergbau und Erzverarbeitung geprägt. In ihrer Folge entstanden zahlreiche Sekundärstandorte mit schwermetallreichen Substraten auf Halden und kontaminierten Flussschottern. Daher stellt der Harz ein klassisches Gebiet des Studiums von Pflanzengesellschaften mit schwermetalltoleranten Arten dar. Allerdings lag bis heute keine systematische Übersicht und umfassende ökologische Analyse der Schwermetallvegetation und deren Standorte vor. - Grundlagen der Arbeit sind 120 Aufnahmen der Schwermetallvegetation und Analysen der Bodenbedingungen an 23 Orten auf Bergbau- und Schlackenhalden sowie kontaminierten Flussschottern im westlichen Harz und seinem Vorland. Die Rasen besitzen insgesamt nur wenige Phanerogamen; ihre Kenntaxa Armeria maritima ssp. halleri, Minuartia verna ssp. hercynica und Silene vulgaris var. humilis kommen aber in den meisten Beständen vor. Sie werden alle dem Armerietum halleri Libbert 1930 zugeordnet, das sich neben einer Silene-Pionierphase in drei Subassoziationen: A. cladonietosum chlorophaeae, A. typicum und A. achilletosum millefoliae gliedern lässt, die auch als Phasen einer Primärsukzession gedeutet werden können. Die beiden letzteren können weiter in je eine Typische und eine bodenfeuchtere Cardaminopsis halleri-Variante aufgeteilt werden. - In einer DCA trennen sich die Subassoziationen entlang der ersten Achse. Diese Achse ist positiv korreliert mit den Ellenberg-Zeigerwerten für Reaktion, Stickstoff und Feuchte sowie den Calcium-Gehalten der Bodenlösung, negativ mit den Kupfer-Gehalten und Anteilen offener Steine. Die Schwermetall-Gehalte der Böden sind durchgehend hoch. Im A. cladonietosum und A. typicum sowie der Silene-Pionierphase gibt es besonders große Zink- und Kupfer-Gehalte; weite Schwermetall/Calcium-Verhältnisse weisen hier auf extrem zinktoxische Bedingungen hin. Die Blei-Gehalte unterscheiden sich zwischen den Gesellschaften dagegen kaum. - Ein Vergleich der aktuellen Anzahl von Halden mit einer Liste von 1928 zeigt einen starken Rückgang der Schwermetallstandorte durch menschliche Zerstörung und natürliche Sukzession. Pflegemaßnahmen zur Erhaltung oder Regeneration werden erörtert. - In der Diskussion wird die Beibehaltung eines eigenständigen Armerietum halleri befürwortet. Die Auswertung von Literaturdaten in einer Übersichtstabelle für Deutschland ergibt eine Einengung der Violetea calaminariae auf einen Kern artenärmerer Gesellschaften. Für den übrig bleibenden einzigen Verband wird vorgeschlagen, den Namen Armerion halleri Ernst 1965 als nomen conservandum beizubehalten.
Bücherschau
(2004)
The endoplasmic reticulum–mitochondria encounter structure (ERMES) connects the mitochondrial outer membrane with the ER. Multiple functions have been linked to ERMES, including maintenance of mitochondrial morphology, protein assembly and phospholipid homeostasis. Since the mitochondrial distribution and morphology protein Mdm10 is present in both ERMES and the mitochondrial sorting and assembly machinery (SAM), it is unknown how the ERMES functions are connected on a molecular level. Here we report that conserved surface areas on opposite sides of the Mdm10 β-barrel interact with SAM and ERMES, respectively. We generated point mutants to separate protein assembly (SAM) from morphology and phospholipid homeostasis (ERMES). Our study reveals that the β-barrel channel of Mdm10 serves different functions. Mdm10 promotes the biogenesis of α-helical and β-barrel proteins at SAM and functions as integral membrane anchor of ERMES, demonstrating that SAM-mediated protein assembly is distinct from ER-mitochondria contact sites.
Background: Alzheimer's disease is a common debilitating dementia with known heritability, for which 20 late onset susceptibility loci have been identified, but more remain to be discovered. This study sought to identify new susceptibility genes, using an alternative gene-wide analytical approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer's Project Consortium, comprising over 7 m genotypes from 25,580 Alzheimer's cases and 48,466 controls.
Principal findings: In addition to earlier reported genes, we detected genome-wide significant loci on chromosomes 8 (TP53INP1, p = 1.4×10−6) and 14 (IGHV1-67 p = 7.9×10−8) which indexed novel susceptibility loci.
Significance: The additional genes identified in this study, have an array of functions previously implicated in Alzheimer's disease, including aspects of energy metabolism, protein degradation and the immune system and add further weight to these pathways as potential therapeutic targets in Alzheimer's disease.
Bipolar disorder (BD) is a highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. BD shows substantial clinical and genetic overlap with other psychiatric disorders, in particular schizophrenia (SCZ). The genes underlying this etiological overlap remain largely unknown. A recent SCZ genome wide association study (GWAS) by the Psychiatric Genomics Consortium identified 128 independent genome-wide significant single nucleotide polymorphisms (SNPs). The present study investigated whether these SCZ-associated SNPs also contribute to BD development through the performance of association testing in a large BD GWAS dataset (9747 patients, 14278 controls). After re-imputation and correction for sample overlap, 22 of 107 investigated SCZ SNPs showed nominal association with BD. The number of shared SCZ-BD SNPs was significantly higher than expected (p = 1.46x10-8). This provides further evidence that SCZ-associated loci contribute to the development of BD. Two SNPs remained significant after Bonferroni correction. The most strongly associated SNP was located near TRANK1, which is a reported genome-wide significant risk gene for BD. Pathway analyses for all shared SCZ-BD SNPs revealed 25 nominally enriched gene-sets, which showed partial overlap in terms of the underlying genes. The enriched gene-sets included calcium- and glutamate signaling, neuropathic pain signaling in dorsal horn neurons, and calmodulin binding. The present data provide further insights into shared risk loci and disease-associated pathways for BD and SCZ. This may suggest new research directions for the treatment and prevention of these two major psychiatric disorders.
We report on the activities of the European Dry Grassland Group (EDGG) during the last year, namely the 8th European Dry Grassland Meeting in Uman', Ukraine in June 2011, the 3rd EDGG Research Expedition in Bulgaria in August 2011, the 4th EDGG Research Expedition in Sicily in April 2012, as well as the completed and forthcoming EDGG-coordinated special features in international journals. Then we provide a brief bibliometrical analysis of the Dry Grassland Special Features in Tuexenia since 2005. The 32 contributions of the years 2005–2011 constituted approx. 17% of the overall content of Tuexenia in this period. Including this 7th Dry Grassland Special Feature, sixty-one authors from 12 countries have contributed to these Special Features, guest-edited by yearly changing teams from a total of 16 guest editors. In the years with statistically reliable data, contributions in the Dry Grassland Special Features have been cited approximately four times as much as regular Tuexenia contributions. It is likely that this fact together with the internationality of the Special Features has contributed to the final inclusion of the journal in the Web of Science in 2011. Finally, we introduce the four research articles of this 7th Dry Grassland Special Feature. Two of them are focusing on vegetation change and restoration issues of cryptogam-rich sand dunes in the Netherlands and calcareous grasslands in Bavaria (Germany), respectively. The others, dealing with siliceous grasslands in Hesse (central Germany) and the results of EDGG Research Expedition 2009 to Transylvania (Romania), focus on syntaxonomy.
The most basic behavioural states of animals can be described as active or passive. However, while high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which the automated VHF radio-tracking of small vertebrates fitted with lightweight transmitters (< 0.2 g) is used to distinguish between active and passive behavioural states.
A dataset containing > 3 million VHF signals was used to train and test a random forest model in the assignment of either active or passive behaviour to individuals from two forest-dwelling bat species (Myotis bechsteinii (n = 50) and Nyctalus leisleri (n = 20)). The applicability of the model to other taxonomic groups was demonstrated by recording and classifying the behaviour of a tagged bird and by simulating the effect of different types of vertebrate activity with the help of humans carrying transmitters. The random forest model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F-score 0.96–0.98).
The utility of the model in tackling ecologically relevant questions was demonstrated in a study of the differences in the daily activity patterns of the two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that significant differences in the timing of species activity according to ecological preferences or seasonality can be distinguished using our method.
Our approach enables the assignment of VHF signal patterns to fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radio-tracking method, we provide the trained random forest models together with an R-package that includes all necessary data-processing functionalities. In combination with state-of-the-art open-source automated radio-tracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
he most basic behavioural states of animals can be described as active or passive. While high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which a combination of automatic radiotracking and machine learning is used to distinguish between active and passive behaviour in small vertebrates fitted with lightweight transmitters (<0.4 g).
We used a dataset containing >3 million signals from very-high-frequency (VHF) telemetry from two forest-dwelling bat species (Myotis bechsteinii [n = 52] and Nyctalus leisleri [n = 20]) to train and test a random forest model in assigning either active or passive behaviour to VHF-tagged individuals. The generalisability of the model was demonstrated by recording and classifying the behaviour of tagged birds and by simulating the effect of different activity levels with the help of humans carrying transmitters. The model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F1 0.96–0.98).
We provide an ecological case-study demonstrating the potential of this automated monitoring tool. We used the trained models to compare differences in the daily activity patterns of two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that subtle differences in the timing of species' activity can be distinguished using our method.
Our approach can classify VHF-signal patterns into fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radiotracking method, we provide the trained random forest models together with an R package that includes all necessary data processing functionalities. In combination with state-of-the-art open-source automated radiotracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
Ligand stimulation of CD95 induces activation of Plk3 followed by phosphorylation of caspase-8
(2016)
Upon interaction of the CD95 receptor with its ligand, sequential association of the adaptor molecule FADD (MORT1), pro-forms of caspases-8/10, and the caspase-8/10 regulator c-FLIP leads to the formation of a death-inducing signaling complex. Here, we identify polo-like kinase (Plk) 3 as a new interaction partner of the death receptor CD95. The enzymatic activity of Plk3 increases following interaction of the CD95 receptor with its ligand. Knockout (KO) or knockdown of caspase-8, CD95 or FADD prevents activation of Plk3 upon CD95 stimulation, suggesting a requirement of a functional DISC for Plk3 activation. Furthermore, we identify caspase-8 as a new substrate for Plk3. Phosphorylation occurs on T273 and results in stimulation of caspase-8 proapoptotic function. Stimulation of CD95 in cells expressing a non-phosphorylatable caspase-8-T273A mutant in a rescue experiment or in Plk3-KO cells generated by CRISPR/Cas9 reduces the processing of caspase-8 prominently. Low T273 phosphorylation correlates significantly with low Plk3 expression in a cohort of 95 anal tumor patients. Our data suggest a novel mechanism of kinase activation within the Plk family and propose a new model for the stimulation of the extrinsic death pathway in tumors with high Plk3 expression.