Welcome to the Leibniz Institute DSMZ

German Collection of Microorganisms and Cell Cultures GmbH


The research focus of the almost 100 scientists at the DSMZ are the various aspects of biodiversity in prokaryotes & eukaryotes.

Research groups


In our online shop we offer the most diverse portfolio of bioresources for researchers from academia & industry.



We offer a comprehensive portfolio of services like identification, characterization, specific analyses & online tools.



On 16 March 2023, the Scientific Director of the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Jörg Overmann, was…

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Am 16. März 2023 ist der Wissenschaftliche Direktor des Leibniz-Instituts DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen Jörg Overmann…

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An international team of researchers led by microbiologists from the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH…

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Ein internationales Forschungsteam unter Führung Braunschweiger Mikrobiologen vom Leibniz-Institut DSMZ-Deutsche Sammlung von Mikroorganismen und…

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Statement by microbiologist Prof. Dr. Jörg Overmann

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> 35,500 strains


> 730 strains

Plant viruses

> 830 viruses

Human & Animal Cell Lines

> 880 cell lines


> 250 plasmids

Fungi & Yeasts

> 8,000 strains


> 1,000 phages

Cyanobacteria & Protists

> 110 bioresources


The Bacterial Diversity Metadatabase

Our metadatabase of organism-linked information covering the multifarious aspects of bacterial and archaeal biodiversity.


Type (Strain) Genome Server

TYGS offers a truly genome-based classification and identification of prokaryotic strains without overestimating phylogenetic confidence.


List of Prokaryotic names with Standing in Nomenclature

LPSN is a compilation of all names of Bacteria & Archaea which have been validly published according to the Bacteriological Code.

Short Tandem Repeat (STR) Profile Search

Analysis of Short Tandem Repeats

Since STR microsatellites are stable as well as highly polymorphic in human populations, STR profiling is shown to be ideal for authentication of human cell line samples.