6 research outputs found
Isolation and characterization of <i>Magnetospirillum</i> sp strain 15-1 as a representative anaerobic toluene-degrader from a constructed wetland model
Previously, Planted Fixed-Bed Reactors (PFRs) have been used to investigate microbial toluene removal in the rhizosphere of constructed wetlands. Aerobic toluene degradation was predominant in these model systems although bulk redox conditions were hypoxic to anoxic. However, culture-independent approaches indicated also that microbes capable of anaerobic toluene degradation were abundant. Therefore, we aimed at isolating anaerobic-toluene degraders from one of these PFRs. From the obtained colonies which consisted of spirilli-shaped bacteria, a strain designated 15-1 was selected for further investigations. Analysis of its 16S rRNA gene revealed greatest similarity (99%) with toluene-degrading Magnetospirillum sp. TS-6. Isolate 15-1 grew with up to 0.5 mM of toluene under nitrate-reducing conditions. Cells reacted to higher concentrations of toluene by an increase in the degree of saturation of their membrane fatty acids. Strain 15-1 contained key genes for the anaerobic degradation of toluene via benzylsuccinate and subsequently the benzoyl-CoA pathway, namely bssA, encoding for the alpha subunit of benzylsuccinate synthase, bcrC for subunit C of benzoyl-CoA reductase and bamA for 6-oxocyclohex-1-ene-1-carbonyl-CoA hydrolase. Finally, most members of a clone library of bssA generated from the PFR had highest similarity to bssA from strain 15-1. Our study provides insights about the physiological capacities of a strain of Magnetospirillum isolated from a planted system where active rhizoremediation of toluene is taking place
Bringing Research Data Management to Academic Libraries
Modern research institutions are faced with rapidly increasing challenges imposed by data-driven science and have to deal with new demands from funding agencies and publishers regarding open access to research data as well as from the Code of Conduct for Research Integrity on reproducibility of results. In reply to these requirements, the Technical University of Denmark (DTU) has adapted a two-fold strategy of bringing together decision-makers, relevant support units in the administration and researchers from all departments for the task of designing policies and services in alignment with common traditions in the different fields of research. This mixed “bottom-up” / “top-down” approach ensures that best practices for research data management can be implemented in the daily routines of employees in a practical and supportive way while ensuring that the researchers can live up to all relevant administrative, legal and ethical standards.
In this presentation, we will show how DTU Library has taken over a central position in this process by investigating the needs and demands from researchers in the different fields, drafting procedures and guidelines for research data management and establishing support functions and training for all aspects of the data life cycle. Within this new and complex area, the creation of new positions for research data management at the library in addition to an optimal utilization of existing resources and knowledge has been crucial for building up the necessary expertise and thus for the success of the strategy.
AuthorsFalco Jonas Hüser, PhDProject Officer – Research Data Managementemail: [email protected] 0000-0001-9645-6691Paula Maria Martinez Lavanchy, PhDProject Officer – Research Data Managementemail: [email protected] 0000-0003-1448-091
Data Management in Practice Supplementary Files
This collection of supplementary files relate to the report: “Data Management in Practice Results and Evaluation”. The report presents the results of the Data Management i Praksis (DMiP) project (in English: Data Management in Practice). The project was funded by Denmark’s Electronic Research Library (DEFF), the National Danish Archives and the participating main Danish libraries. The following partners participated in the project: Aalborg University Library, Danish e-Infrastructure Cooperation (DeIC), DTU Library, Roskilde University Library, The Danish National Archives, Royal Danish Library and The University Library of Southern Denmark.The general objective of the project was to establish a Danish setup covering all aspects of the lifecycle of research data: from application, through the research phase, and finally to the dissemination of results and sharing of research data. The setup was to be based on researchers’ demands, and the suggestions and results of the project were to be at an international level. The project should also demonstrate that research libraries have a role to play regarding research data. Furthermore, the project should ensure development of competences at the libraries, which can then be used in the future process of managing research data
Data Management in Practice Results and Evaluation
 This report presents the results of the Data Management i Praksis (DMiP) project (in English: Data Management in Practice). The project was funded by Denmark’s Electronic Research Library (DEFF), the National Danish Archives and the participating main Danish libraries. The following partners participated in the project: Aalborg University Library, Danish e-Infrastructure Cooperation (DeIC), DTU Library, Roskilde University Library, The Danish National Archives, Royal Danish Library and The University Library of Southern Denmark. The general objective of the project was to establish a Danish setup covering all aspects of the lifecycle of research data: from application, through the research phase, and finally to the dissemination of results and sharing of research data. The setup was to be based on researchers’ demands, and the suggestions and results of the project were to be at an international level. The project should also demonstrate that research libraries have a role to play regarding research data. Furthermore, the project should ensure development of competences at the libraries, which can then be used in the future process of managing research data.