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2013|14 Annual Report Fraunhofer IGB

1 NGS at the Fraunhofer IGB: from sample prepa- ration, to sequencing, through to the complete biocomputational solution. 2 Visualizing the sequencing data from P. aphidis using the GeneScapes Viewer, which was devel- oped at the Fraunhofer IGB. 73 PaG_02719 PaG_02774 PaG_02723 10 5 PaG_02719 PaG_02774_1 PaG_02774_2 PaG_02723 10 5 10 5 in silico predicted annotation experimental annotation sequence reads 2 x 95 bp (0 h, not induced) sequence reads 1 x 50 bp (114 h, in glucose induced) sequence reads 1 x 50 bp (114 h, in soy bean oil and glucose induced) Contacts Dipl.-Biol. Christian Grumaz Phone +49 711 970-4079 christian.grumaz@igb.fraunhofer.de Dr. Kai Sohn Phone +49 711 970-4055 kai.sohn@igb.fraunhofer.de Sequencing the biosurfactant-producing strain Pseudozyma aphidis The majority of surfactants required by the cleaning and food industry are chemically produced from petroleum or plant oils. However, despite currently being comparatively costly, the production of biosurfactants from microorganisms offers great potential. Within the BioSurf project, we were able to use NGS in genome-wide investigations of a particularly ef- ficient producer of the biosurfactant MEL to identify genes required for MEL biosynthesis. These now serve as a blueprint for the metabolic engineering of the strain, with the aim of gaining MEL variants with customized properties. Characterization of microbial populations in biogas production Knowledge of the spatial and temporal composition of mi- crobial populations in ensiling and biogas processes and their targeted manipulation provides innovative possibilities for the optimization of the processes to yield more biogas. To this end, NGS technology enables the comprehensive characteriza- tion of complex microbial communities in the GOBi project. This also includes the capture of organisms previously impos- sible to identify using classical microbiology methods as they show poor or no growth in vitro. References [1] Lander, E. S. et al. (2001) Initial sequencing and analysis of the human genome, Nature 409 (6822): 860 – 921 [2] Venter, J. C. et al. (2001) The sequence of the human ge- nome, Science 291 (5507): 1304 – 1351 [3] Perkel, J. (2013) Finding the true $1000 genome, Biotech- niques Feb 54 (2): 71 – 74 [4] Metzker, M. L. (2010) Sequencing technologies – the next generation, Nature Review Genetics, 11(1): 31 – 46 Funding We would like to thank the Fraunhofer-Zukunftsstiftung (Fraun­ hofer Future Foundation) for funding the project “RIBOLUTION” and the German Federal Ministry of Education and Research (BMBF) for funding the projects “BioSurf” and “GOBi”. 2

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