BLUEPRINT:
Verbundprojekt BLUEPRINT: Biologisches Objektiv, welches genetischen Abdruck nutzt; Vorhaben: Räumlich-zeitliche Variationen im mikoobiellen 'Blueprint' (Blaupause) der Ostsee u. Hinführung in seine praktische Funktionsfähigkeit
- Duration:
- 01.01.2014 - 30.04.2018
- Project coordinated by:
- University of Copenhagen
- Project manager (IOW):
- Prof. Dr. Klaus Jürgens
- Funding:
- BONUS / BMBF
- Researchfocus:
-
Focus 1: Small- and meso-scale processes
- Partners:
Abstract
Publikationen
- Salamon Slater, E. R., K. A. Turk-Kubo, S. Hallstrøm, K. Kesy, P. Laas, J. Magasin, J. P. Zehr, M. Labrenz and L. Riemann (2023). Composition and distribution of diazotrophs in the Baltic Sea. Estuar. Coast. Shelf Sci. 294: 108527, doi: 10.1016/j.ecss.2023.108527
- Pinhassi, J., H. Farnelid, S. M. García, E. Teira, P. E. Galand, I. Obernosterer, C. Quince, M. Vila-Costa, J. M. Gasol, D. Lundin, A. F. Andersson, M. Labrenz and L. Riemann (2022). Functional responses of key marine bacteria to environmental change – toward genetic counselling for coastal waters. Front. Microbiol. 13: 869093, doi: 10.3389/fmicb.2022.869093
- Janßen, R., A. J. Beck, J. Werner, O. Dellwig, J. Alneberg, B. Kreikemeyer, E. Maser, C. Böttcher, E. P. Achterberg, A. F. Andersson and M. Labrenz (2021). Machine learning predicts the presence of 2,4,6-trinitrotoluene in sediments of a Baltic Sea munitions dumpsite using microbial community compositions. Front. Microbiol. 12: 626048, doi: 10.3389/fmicb.2021.626048
- Alneberg, J., C. Bennke, S. Beier, C. Bunse, C. Quince, K. Ininbergs, L. Riemann, M. Ekman, K. Jürgens, M. Labrenz, J. Pinhassi and A. F. Andersson (2020). Ecosystem-wide metagenomic binning enables prediction of ecological niches from genomes. Commun. Biol. 3: 119, doi: 10.1038/s42003-020-0856-x
- Alneberg, J., J. Sundh, C. Bennke, S. Beier, D. Lundin, L. W. Hugerth, J. Pinhassi, V. Kisand, L. Riemann, K. Jürgens, M. Labrenz and A. F. Andersson (2018). Data Descriptor: BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea. Sci. Data 5: 180146, doi: 10.1038/sdata.2018.146
- Bennke, C. M., F. Pollehne, A. Müller, R. Hansen, B. Kreikemeyer and M. Labrenz (2018). The distribution of phytoplankton in the Baltic Sea assessed by a prokaryotic 16S rRNA gene primer system. J. Plankton Res. 40: 244-254, doi: 10.1093/plankt/fby008
- Beier, S., D. Shen, T. Schott and K. Jürgens (2017). Metatranscriptomic data reveal the effect of different community properties on multifunctional redundancy. Mol. Ecol. 26: 6813-6826, doi: 10.1111/mec.14409
- Wäge, J., G. Valvassori, J. D. Hardege, A. Schulze and M. C. Gambi (2017). The sibling polychaetes Platynereis dumerilii and Platynereis massiliensis in the Mediterranean Sea: are phylogeographic patterns related to exposure to ocean acidification? Mar. Biol. 164: 199, doi: 10.1007/s00227-017-3222-x