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Adverse environmental conditions are detrimental to plant growth and development. Acclimation to abiotic stress conditions involves activation of signaling pathways which often results in changes in gene expression via networks of transcription factors (TFs). Mediator is a highly conserved co-regulator complex and an essential component of the transcriptional machinery in eukaryotes. Some Mediator subunits have been implicated in stress-responsive signaling pathways; however, much remains unknown regarding the role of plant Mediator in abiotic stress responses. Here, we use RNA-seq to analyze the transcriptional response of Arabidopsis thaliana to heat, cold and salt stress conditions. We identify a set of common abiotic stress regulons and describe the sequential and combinatorial nature of TFs involved in their transcriptional regulation. Furthermore, we identify stress-specific roles for the Mediator subunits MED9, MED16, MED18 and CDK8, and putative TFs connecting them to different stress signaling pathways. Our data also indicate different modes of action for subunits or modules of Mediator at the same gene loci, including a co-repressor function for MED16 prior to stress. These results illuminate a poorly understood but important player in the transcriptional response of plants to abiotic stress and identify target genes and mechanisms as a prelude to further biochemical characterization.
Adverse environmental conditions are detrimental to plant growth and development. Acclimation to abiotic stress conditions involves activation of signaling pathways which often results in changes in gene expression via networks of transcription factors (TFs). Mediator is a highly conserved co-regulator complex and an essential component of the transcriptional machinery in eukaryotes. Some Mediator subunits have been implicated in stress-responsive signaling pathways; however, much remains unknown regarding the role of plant Mediator in abiotic stress responses. Here, we use RNA-seq to analyze the transcriptional response of Arabidopsis thaliana to heat, cold and salt stress conditions. We identify a set of common abiotic stress regulons and describe the sequential and combinatorial nature of TFs involved in their transcriptional regulation. Furthermore, we identify stress-specific roles for the Mediator subunits MED9, MED16, MED18 and CDK8, and putative TFs connecting them to different stress signaling pathways. Our data also indicate different modes of action for subunits or modules of Mediator at the same gene loci, including a co-repressor function for MED16 prior to stress. These results illuminate a poorly understood but important player in the transcriptional response of plants to abiotic stress and identify target genes and mechanisms as a prelude to further biochemical characterization.
Virtuelle Communities bezeichnen Gemeinschaften von Individuen, die maßgeblich über das Internet miteinander kommunizieren und kollaborieren. Anders als in Unternehmen, in denen Motivationsstrukturen primär auf finanziellen Anreizen basieren, gilt für Virtuelle Communities, dass die Zuarbeit in diesen in der Regel freiwillig und ohne monetäre Interessen der Mitglieder stattfindet. Unternehmen nutzen Virtuelle Communities für Zwecke des Customer Relationship Management, des Wissensmanagement und des Customer Integration. Universitäten bilden virtuelle Lernnetzwerke, um die Interaktion zwischen Studierenden zu erhöhen und hierdurch Lernerfolge zu steigern. Die Potenziale Virtueller Communities werden jedoch in vielen Fällen nicht vollständig ausgeschöpft. Insbesondere der Frage nach einer systematischen Mitgliedersteuerung kommt aufgrund der vorherrschenden komplexen Motivationsstrukturen der freiwillig partizipierenden Mitglieder eine besondere Bedeutung zu. In bisherigen wissenschaftlichen Arbeiten wurde dieser Aspekt jedoch vernachlässigt. Das Untersuchungsdesign der Arbeit zielt darauf ab, diese Forschungslücke zu schließen und einen Ordnungsrahmen zu gestalten, der einen systematischen Aufbau, Betrieb und insbesondere eine Steuerung Virtueller Communities ermöglicht. Die Identifikation von Steuerungsinstrumenten wurde im Rahmen der Arbeit durch eine Analyse der Strukturen und Funktionsweisen in Open Source-Projekten vorgenommen, anschließend wurden diese auf andere Typen Virtueller Communities übertragen. Im Rahmen zweier Fallstudien wurde der entwickelte Ordnungsrahmen unter realen Bedingungen an einem Expertennetzwerk an der Börse Berlin AG und einem universitären Lernnetzwerk erprobt. Die anschließende Analyse gibt Aufschluss über die Wirkungsweisen wettbewerblicher, kooperativer und hierarchischer Steuerungsinstrumente in Virtuellen Communities.
Taking a new perspective
(2016)
Network analysis has attracted significant attention when researching the phenomenon of transnational terrorism, particularly Al Qaeda. While many scholars have made valuable contributions to mapping Al Qaeda, several problems remain due to a lack of data and the omission of data provided by international organizations such as the UN. Thus, this article applies a social network analysis and subsequent mappings of the data gleaned from the Security Council's consolidated sanctions list, and asks what they can demonstrate about the structure and organizational characteristics of Al Qaeda. The study maps the Al Qaeda network on a large scale using a newly compiled data set. The analysis reveals that the Al Qaeda network consists of several hundred individual and group nodes connecting almost all over the globe. Several major nodes are crucial for the network structure, while simultaneously many other nodes only weakly and foremost regionally connect to the network. The article concludes that the findings tie in well to the latest research pointing to local and simultaneously global elements of Al Qaeda, and that the new data is a valuable source for further analyses, potentially in combination with other data.
Objective: Hormone secretion from metabolically active tissues, such as pancreatic islets, is governed by specific and highly regulated signaling pathways. Defects in insulin secretion are among the major causes of diabetes. The molecular mechanisms underlying regulated insulin secretion are, however, not yet completely understood. In this work, we studied the role of the GTPase ARFRP1 on insulin secretion from pancreatic 13-cells. <br /> Methods: A 13-cell-specific Arfrp1 knockout mouse was phenotypically characterized. Pulldown experiments and mass spectrometry analysis were employed to screen for new ARFRP1-interacting proteins. Co-immunoprecipitation assays as well as super-resolution microscopy were applied for validation. <br /> Results: The GTPase ARFRP1 interacts with the Golgi-associated PDZ and coiled-coil motif-containing protein (GOPC). Both proteins are co localized at the trans-Golgi network and regulate the first and second phase of insulin secretion by controlling the plasma membrane localization of the SNARE protein SNAP25. Downregulation of both GOPC and ARFRP1 in Min6 cells interferes with the plasma membrane localization of SNAP25 and enhances its degradation, thereby impairing glucose-stimulated insulin release from 13-cells. In turn, overexpression of SNAP25 as well as GOPC restores insulin secretion in islets from 13-cell-specific Arfrp1 knockout mice. <br /> Conclusion: Our results identify a hitherto unrecognized pathway required for insulin secretion at the level of trans-Golgi sorting. (c) 2020 The Authors. Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).