Petersen, K., & Wohlin, C. (2010). Software process improvement through the Lean Measurement (SPI-LEAM) method. Journal of systems and software, 83, 1275–1287.
Goecke, F. R., Labes, A., Wiese, J., & Imhoff, J. F. (2010). Chemical interactions between marine macroalgae and bacteria. Marine Ecology Progress Series, 409, 267–299. Abgerufen von http://oceanrep.geomar.de/8734/
Abstract
We review research from the last 40 yr on macroalgal?bacterial interactions. Marine macroalgae have been challenged throughout their evolution by microorganisms and have developed in a world of microbes. Therefore, it is not surprising that a complex array of interactions has evolved between macroalgae and bacteria which basically depends on chemical interactions of various kinds. Bacteria specifically associate with particular macroalgal species and even to certain parts of the algal body. Although the mechanisms of this specificity have not yet been fully elucidated, ecological functions have been demonstrated for some of the associations. Though some of the chemical response mechanisms can be clearly attributed to either the alga or to its epibiont, in many cases the producers as well as the mechanisms triggering the biosynthesis of the biologically active compounds remain ambiguous. Positive macroalgal?bacterial interactions include phytohormone production, morphogenesis of macroalgae triggered by bacterial products, specific antibiotic activities affecting epibionts and elicitation of oxidative burst mechanisms. Some bacteria are able to prevent biofouling or pathogen invasion, or extend the defense mechanisms of the macroalgae itself. Deleterious macroalgal?bacterial interactions induce or generate algal diseases. To inhibit settlement, growth and biofilm formation by bacteria, macroalgae influence bacterial metabolism and quorum sensing, and produce antibiotic compounds. There is a strong need to investigate the bacterial communities living on different coexisting macroalgae using new technologies, but also to investigate the production, localization and secretion of the biological active metabolites involved in those possible ecological interactions.
Gerken, J. M., Moehrle, M. G., & Walter, L. (2010). Semantische Patentlandkarten zur Analyse technologischen Wandels: Eine Längsschnittstudie aus der Allradtechnik. In 6. Symposium für Vorausschau und Technologieplanung (S. 325–349).
Ferrari, R., Madhavji, N. H., Sudmann, O., Henke, C., Geisler, J., & Schafer, W. (2010). Requirements Engineering Decisions in the Context of an Existing Architecture: A Case Study of a Prototypical Project. In 18th IEEE International Requirements Engineering Conference (S. 79–88). Sydney. http://doi.org/10.1109/RE.2010.19
Wiese, J., Baumann, H. I., Labes, A., Ohlendorf, B., Schmaljohann, R., Schulz, D., … Imhoff, J. F. (2010). New drugs in oncology from marine bacteria and fungi. In AIO-Symposium "Academic Drug Development in Oncology ? Translating Basic Science Research Into Innovative Treatments". Abgerufen von http://oceanrep.geomar.de/10235/
Mujtaba, S., Feldt, R., & Petersen, K. (2010). Waste and lead time reduction in a software product customization process with value stream maps. In 2010 21st australian software engineering conference (S. 139–148).
Schneemann, I., Nagel, K., Kajahn, I., Labes, A., Wiese, J., & Imhoff, J. F. (2010). Comprehensive Investigation of Marine Actinobacteria Associated with the Sponge Halichondria panicea. Applied and Environmental Microbiology, 76, 3702–3714. Abgerufen von http://oceanrep.geomar.de/8488/
Abstract
Representatives of Actinobacteria were isolated from the marine sponge Halichondria panicea collected from the Baltic Sea (Germany). For the first time, a comprehensive investigation was performed with regard to phylogenetic strain identification, secondary metabolite profiling, bioactivity determination, and genetic exploration of biosynthetic genes, especially concerning the relationships of the abundance of biosynthesis gene fragments to the number and diversity of produced secondary metabolites. All strains were phylogenetically identified by 16S rRNA gene sequence analyses and were found to belong to the genera Actinoalloteichus, Micrococcus, Micromonospora, Nocardiopsis, and Streptomyces. Secondary metabolite profiles of 46 actinobacterial strains were evaluated, 122 different substances were identified, and 88 so far unidentified compounds were detected. The extracts from most of the cultures showed biological activities. In addition, the presence of biosynthesis genes encoding polyketide synthases (PKSs) and nonribosomal peptide synthetases (NRPSs) in 30 strains was established. It was shown that strains in which either PKS or NRPS genes were identified produced a significantly higher number of metabolites and exhibited a larger number of unidentified, possibly new metabolites than other strains. Therefore, the presence of PKS and NRPS genes is a good indicator for the selection of strains to isolate new natural products.
Ferrari, R., Sudmann, O., Henke, C., Geisler, J., Schäfer, W., & Madhavji, N. (2010). Requirements and Systems Architecture Interaction in a Prototypical Project: Emerging Results. In R. Wieringa & A. Persson (Hrsg.), Requirements Engineering: Foundation for Software Quality, Lecture Notes in Computer Science (Bd. 6182, S. 23–29). Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-14192-8_4
Nagel, K., Schneemann, I., Kajahn, I., Wiese, J., Labes, A., & Imhoff, J. F. (2010). Pseudomonads in association with Saccharina latissima ? evidence of a beneficial interaction in marine environments? In International VAAM-Workshop "Biology of bacteria producing natural products". Abgerufen von http://oceanrep.geomar.de/10252/