Department Evolutionary Genetics (Tautz)

Head of Department (Director)

Prof. Dr. Diethard Tautz

Scientific member (Director)

Phone: + 49 4522 763-390

Fax: +49 4522 763-281

Email:

tautz@...

Room: 241

Links: ORCID Publication References

Office

Sabine Meier

Secretary

Phone: + 49 4522 763-391

Fax: +49 4522 763-281

Email:

meier@...

Room: 240

Research Group Leaders

Prof. Dr. Bernhard Haubold

Research Group Leader

Phone: + 49 4522 763-276

Fax: +49 4522 763-281

Email:

haubold@...

Room: 254

Links: http://guanine.evolbio.mpg.de Publication References

Dr. Julien Dutheil

Research Group Leader

Phone: +49 4522 763-298

Fax: +49 4522 763-281

Email:

dutheil@...

Room: 166

Links: ORCID Google Scholar ResearchGate Publication References

Dr. Linda Odenthal-Hesse

Research Group Leader

Phone: +49 4522 763-309

Fax: +49 4522 763-281

Email:

odenthalhesse@...

Room: 109

Links: ORCID Publication References

Department Evolutionary Genetics (Tautz)

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.

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 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]