Labes, A. . (2013). Early drug discovery: Models for Entering Pharmaceutical Pipelines. In 2. Deutsch-Russisches Forum Biotechnologie. Abgerufen von http://oceanrep.geomar.de/23001/
Kasoju, A. ., Petersen, K. ., & Mäntylä, M. . , V. (2013). Analyzing an automotive testing process with evidence-based software engineering. Information and Software Technology, 55, 1237–1259.
Labes, A. . (2013). Genome based methods for the exploration of natural products from marine fungi for the treatment of cancer. In Tagung der Vereinigung für allgemeine und angewandte Mikrobiologie. Abgerufen von http://oceanrep.geomar.de/23000/
Baca, D. ., & Petersen, K. . (2013). Countermeasure graphs for software security risk assessment: An action research. Journal of Systems and Software, 86, 2411–2428.
Penzenstadler, B. ., Khurum, M. ., & Petersen, K. . (2013). Towards Incorporating Sustainability while Taking Software Product Management Decisions. In 7th International Workshop on Software Product Management (S. 71–58).
Oesterwalbesloh, J. ., Wiese, J. ., Labes, A. ., & Imhoff, J. F. (2013). Habitat specific provocation of secondary metabolite production by marine bacteria ? microbial communication and pharmaceutical use. In VAAM Jahrestagung 2013. Abgerufen von http://oceanrep.geomar.de/20913/
Goecke, F. R., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2013). Phylogenetic analysis and antibiotic activity of bacteria isolated from the surface of two co-occurring macroalgae from the Baltic Sea. European Journal of Phycology, 48, 47–60. Abgerufen von http://oceanrep.geomar.de/19592/
Abstract
Bacteria associated with Fucus vesiculosus and Delesseria sanguinea, two macroalgae from the Kiel Fjord were investigated seasonally over two years by cultivation-based methods. A total of 166 bacterial strains were isolated from the macroalgae, affiliated to seven classes of bacteria (Actinobacteria, Bacilli, Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, Cytophagia and Flavobacteria). According to 16S rRNA gene sequence similarities they were arranged in 82 phylotypes of\ensuremath>99.0\% sequence identity. Assuming that chemical factors rule the bacteriamacroalga and bacteriabacteria interactions on algal surfaces, we tested the antibiotic activity of the bacterial isolates not only against a panel of four standard test organisms (Bacillus subtilis, Candida glabrata, Escherichia coli and Staphylococcus lentus) but also four macroalga-associated microorganisms: Algicola bacteriolytica and Pseudoalteromonas elyakovii (macroalgal pathogens), and Bacillus algicola and Formosa algae (strains associated with algal surfaces). Organic extracts of more than 51\% of the isolates from the two macroalgae inhibited the growth of at least one of the tested microorganisms. As much as 46\% and 45\% of the isolates derived from F. vesiculosus and D. sanguinea, respectively, showed antimicrobial activity against the set of macroalga-associated bacteria, compared with 13 and 19\% against a standard set of microorganisms. High antibacterial activity against macroalgal pathogens and bacterial competitors support the assumption that complex chemical interactions shape the relationships of bacteria associated with macroalgae and suggest that these bacteria are a rich source of antimicrobial metabolites.
Gencel, C. ., Petersen, K. ., Mughal, A. A., & Iqbal, M. I. (2013). A decision support framework for metrics selection in goal-based measurement programs: GQM-DSFMS. Journal of Systems and Software, 86, 3091–3108.
Labes, A. . (2013). Bio-mining the microbial treasures of the ocean: Early drug discovery and models for entering pharmaceutical pipelines. In SUBMARINER. Abgerufen von http://oceanrep.geomar.de/23002/