Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana
Prof. Dr. Karsten M. Borgwardt (*1980), currently Associate Professor at ETH Zurich, has been appointed as Full Professor of Data Mining at ETH. Karsten is a highly renowned scientist who works on one of the key problems for the modern life sciences – efficient computer-based searches in fast-growing datasets. Congratulations, Karsten!
Today, on Charles Darwin’s 208th birthday, we announce the launch of GrENE-net. A coordinated distributed global evolution experiment to study the Genomics of rapid Evolution in Novel Environments, that will give clues about plant adaptation in a rapidly changing world.
In brief, the idea is to sow seed mixtures of ca. 200 Arabidopsis thaliana ecotypes (previously sequenced in the 1001 genomes project and phenotypically characterized) in a large number of sites around the globe, starting in autumn 2017. Participants will collect plant material during subsequent flowering seasons for pool sequencing to assess allele frequency changes genome-wide. This will be used to investigate rapid evolution by natural selection across space. Combining this data with previous knowledge of phenotypes as well as with records of environmental variables will help to understand natural selection in an ecological context.
You can also find more detailed information, including the latest version of the experimental protocol, on our project website on grene-net.org.
Research Associate (TV-L E13 65%)
Population and quantitative genomics of heterosis in cultivated Amaranth
The three species of grain amaranth are ancient crops whose grains have a high nutritional value. Their domestication history is characterized by hybridization and gene flow. Amaranth species are annual plants with small genomes and a short generation time, which makes them attractive model organisms for lab and field experiments. Based on genomic data sets and phenotypic data from intra- and interspecific segregating populations the specific project goals are to (1) identify genomic regions with high diversity and footprints of gene flow between species (2) investigate the effects of interspecific vs. intraspecific heterosis on phenotypic traits and environmental stability a nd (3) map heterosis-associated genomic regions.
We are looking for a highly motivated and creative Ph. D. student with a strong background in population genetics, quantitative genetics, bioinformatics, evolutionary biology or plant breeding to work on this project. The student will be co-advised by Dr. Karl Schmid (University of Hohenheim; evoplant.uni-hohenheim.de) and Dr. Detlef Weigel (MPI of Developmental Biology; www.weigelworld.org).
The project is part of the Hohenheim-Tübingen Regio Alliance, which offers very good opportunities for interaction and further training. The position is available immediately and is funded for three years according to the E13 TV-L government salary scale (65% part-time). Registration for the Ph.D. program of the Faculty of Agriculture to obtain a Ph.D. degree is expected. The University of Hohenheim is an equal opportunity employer. Women and members of minority groups are strongly encouraged to apply.
Application deadline: 21.02.2017
Please attach the following documents to your application: Please upload your application material (Cover letter, CV, publications, a short letter of motivation and research interests, addresses of at least two references) as a single PDF.
The University of Hohenheim accepts applications via a secure internet site. To the application
We are offering scientists temporary bench or desk space, library access and will help with finding accommodation for US-based scientists who are stranded abroad due to the White House Executive Order 13769 "Protecting the Nation from Foreign Terrorist Entry into the United States" of 27 January, 2017.
March 29, 3 pm
MPH Lecture Hall
April 5, 3 pm
MPH Lecture Hall
April 26, 3 pm
MPH Lecture Hall