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Bernhard M. Fuchs

Researcher at Max Planck Society

Publications -  134
Citations -  18925

Bernhard M. Fuchs is an academic researcher from Max Planck Society. The author has contributed to research in topics: Bacterioplankton & Algal bloom. The author has an hindex of 53, co-authored 125 publications receiving 16737 citations. Previous affiliations of Bernhard M. Fuchs include Technische Universität München & Plymouth Marine Laboratory.

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SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB

TL;DR: SILVA (from Latin silva, forest), was implemented to provide a central comprehensive web resource for up to date, quality controlled databases of aligned rRNA sequences from the Bacteria, Archaea and Eukarya domains.
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Bacterioplankton compositions of lakes and oceans: a first comparison based on fluorescence in situ hybridization.

TL;DR: FISH with rRNA-targeted oligonucleotide probes was used to investigate the phylogenetic composition of bacterioplankton communities in several freshwater and marine samples, finding that Beta subclass proteobacteria constituted a dominant fraction in freshwater systems and members of the Cytophaga-Flavobacterium cluster were the most abundant group detected in the marine systems.
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Massive nitrogen loss from the Benguela upwelling system through anaerobic ammonium oxidation.

TL;DR: It is shown that instead, the anammox process (the anaerobic oxidation of ammonium by nitrite to yield N2) is mainly responsible for nitrogen loss in the OMZ waters of one of the most productive regions of the world ocean, the Benguela upwelling system.
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Single-cell identification in microbial communities by improved fluorescence in situ hybridization techniques

TL;DR: This Review provides an update on the recent methodological improvements that have allowed more reliable quantification of microbial populations in situ in complex environmental samples, with a particular focus on the usefulness of group-specific probes in this era of ever-growing rRNA databases.