Head of Department (Director)

Prof. Dr. Diethard Tautz
Prof. Dr. Diethard Tautz
Scientific member (Director)

Phone: + 49 4522 763-390
Fax: +49 4522 763-281
Room: 241
Links: Publication ReferencesORCID

Office

Sabine Meier
Sabine Meier
administrative assistant

Phone: + 49 4522 763-391
Fax: +49 4522 763-281
Room: 240

Research Group Leaders

Prof. Dr. Bernhard Haubold
Prof. Dr. Bernhard Haubold
Research Group Leader

Phone: + 49 4522 763-276
Fax: +49 4522 763-281
Room: 254
Links: Publication Referenceshttp://guanine.evolbio.mpg.de
Dr. Julien Dutheil
Dr. Julien Dutheil
Research Group Leader

Phone: +49 4522 763-298
Fax: +49 4522 763-281
Room: 166
Links: Publication ReferencesORCID Google Scholar ResearchGate
Dr. Linda Odenthal-Hesse
Dr. Linda Odenthal-Hesse
Research Group Leader

Phone: +49 4522 763-309
Fax: +49 4522 763-281
Room: 109
Links: Publication ReferencesORCID

Department Evolutionary Genetics (Tautz)

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Department Evolutionary Genetics

The group of Diethard Tautz is interested in the identification and characterization of genes involved in adaptation processes using the house mouse (Mus musculus) as a model system. It applies a broad range of genomic techniques, but also behavioral, morphological and mapping approaches. The characterization of the identified genes includes experiments in semi-natural environments.

Publications

Work Groups and Projects

Current research of the department is organized in many major projects, which investigate amongst others selective sweep analysis, copy-number evolution, morphology and genes, parallel selection mapping, mating and utrasound communication and de-novo evolution of genes. [more]
Research in the fledgling bioinformatics group is focused on two topics: computational genomics and speciation. In computational genomics we use modern string algorithms based on suffix trees to compare closely related genomes.

Research Group Bioinformatics (Haubold)

Research in the fledgling bioinformatics group is focused on two topics: computational genomics and speciation. In computational genomics we use modern string algorithms based on suffix trees to compare closely related genomes. [more]

Research Group Molecular Systems Evolution (Dutheil)

The group's research aims at understanding evolution at the molecular level using statistics and bioinformatics. We use population genetics and phylogenetic approaches to understand the evolution of molecular sequences at distinct levels: genes, genomes, RNA, proteins. We make an extensive use of complete genome sequences, gene family databases, (single cell) RNA sequencing datasets, models of protein structures, gene networks, etc.

[more]

Research Group Meiotic Recombination and Genome Instability (Odenthal-Hesse)

Research interests of the Research Group Meiotic Recombination and Genome Instability revolve around meiotic recombination, the regulation of accurate recombination placement and its impact on genome dynamics. We use single-molecule and small-pool allele-specific PCR approaches to study de-novo recombination in germ cells. We then apply this knowledge to computational approaches to understand how meiotic recombination shapes the genome. [more]

Staff

 
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