Uzunkol, O. . (2013). Generalized class invariants with "Thetanullwerte". Turkish Journal of Mathematics, 37, 165–181. http://doi.org/10.3906/mat-1106-4
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.
Baca, D. ., Carlsson, B. ., Petersen, K. ., & Lundberg, L. . (2013). Improving software security with static automated code analysis in an industry setting. Software: Practice and Experience, 43, 259–279.
Nagel, K. ., Schneemann, I. ., Kajahn, I. ., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2012). Beneficial effects of 2,4-diacetylphloroglucinol- producing pseudomonads on the marine alga Saccharina latissima. Aquatic Microbial Ecology, 67, 239–249. Abgerufen von http://oceanrep.geomar.de/19108/ (Original work published 2024)
Abstract
Pseudomonas strains were shown to be regularly associated with the brown macroalga Saccharina latissima from the Baltic Sea, studied over several years, and were identified as producers of the antimicrobially active compound 2,4-diacetylphloroglucinol. These findings support the assumption of a stable association between the Pseudomonas spp. strains and S. latissima in the Baltic Sea. The metabolite profile of the Pseudomonas spp. comprised monoacetylphloroglucinol, 2,4-diacetylphloroglucinol, pyoluteorin and several rhizoxins, which exhibited broad-spectrum antibiotic activities against Gram-positive and Gram-negative bacteria as well as against fungi. Because the antibiotic activities included the inhibition of the 2 algal pathogens Pseudoalteromonas elyakovii and Algicola bacteriolytica, we propose a beneficial effect of these marine pseudomonads on their host S. latissima.
Bossanyi, E. ., Savini, B. ., Iribas, M. ., Hau, M. ., Fischer, B. ., Schlipf, D. ., … Carcangiu, C. E. (2012). Advanced controller research for multi-MW wind turbines in the UpWind project. Wind Energy, 15, 119–145. http://doi.org/10.1002/we.523 (Original work published 2024)
Barney, S. ., Petersen, K. ., Svahnberg, M. ., Aurum, A. ., & Barney, H. . (2012). Software quality trade-offs: A systematic map. Information and Software Technology, 54, 651–662.
Moehrle, M. G., & Gerken, J. M. (2012). Measuring textual patent similarity on the basis of combined concepts: design decisions and their consequences. Scientometrics, 91, 805–826.
Goecke, F. R., Labes, A. ., Wiese, J. ., & Imhoff, J. F. (2012). Dual effect of macroalgal extracts on growth of bacteria in Western Baltic Sea. Revista De Biologia Marina Y Oceanografia, 47, 75–86. Abgerufen von http://oceanrep.geomar.de/14347/
Abstract
It is assumed that the biological characteristics of the bacterial strains used in bioactivity tests have strong influences on their susceptibility against antibacterial compounds. Therefore, the selection of bacterial test strains may rush conclusions on the effect of macroalgal extracts and metabolites on bacteria. To proof this assumption, we have analysed the biological activities of crude extracts of 16 macroalgae from the coastal waters of Kiel Fjord (Germany), and tested their effect against a panel of 10 microorganisms comprising 5 standard test strains of bacteria and 5 macroalga-associated bacteria. Fourteen macroalgae (88\%) displayed antibacterial activity against at least one of the test strains. Despite the high proportion of extracts exhibiting antimicrobial activity, only 3 strains of the standard set were susceptible to macroalgal extracts and the overall activities were low (less than 80\% of inhibition). Most of active extracts inhibited Bacillus subtilis, while no inhibition effects were found against Erwinia amylovora, Escherichia coli, and the macroalga-associated bacteria. In contrast, all extracts produced stimulatory growth effects of at least two of the tested bacteria. While growth stimulation of standard set of bacteria was rare (22.5\% of total tests) with exception of plant pathogen Erwinia amylovora and two cases of Staphylococcus lentus, it was common among bacteria associated with macroalgae (77.5\%), especially Bacillus algicola, Pseudomonas marincola and both algal-pathogenic bacteria. This study demonstrates that macroalgal extracts can display different effects, i.e., inhibition or stimulation of bacterial growth depending on the origin of the test strains, which are derived from a standard panel or from the marine environment, respectively.