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Project funded by ministry of education (BMBF)

Our lab has started to explore the genomic and evolutionary features that associate with the mode of gene expression inheritance. By bridging approaches in population genetics and transcriptomics with the traditions of quantitative genetics, we systematically dissect the component of genetic variation that can directly sustain a response to selection.

The postdoctoral research associate will expand this line of work and integrate epigenetic, transcriptomic and phenotypic analyses of variation in the obligate outcrossing species A. lyrata. In close collaboration with our international team, the postdoc will also mentor students and actively participate to the lively scientific culture of our lab.

Application: search already actively ongoing - see attachment

Starting date: October 1st 2022.

For more information, have a look at the job offer (pdf) or contact Juliette de Meaux (jdemeaux[at]



Project funded by CEPLAS (Plant Science Center): This is a collaboration between my lab and the lab of Shamil Sunyaev at Harvard Med School.

Genetic studies of complex traits in animals and plants have shown that trait variation is controlled by thousands of loci. The heritability of these traits appears to localize to non-coding regions, including transcription factor binding sites (TFBS). Are there genetic variants in non-coding loci throughout the genome that create novel TFBS, which do not control gene expression directly? If such sites exist, can they work as sink loci, sequestering transcription factors and decreasing the total amount available to regulate genes elsewhere in the genome? We propose to test this hypothesis by combining information on gene expression, ChIP-Seq and population variation in two complex plant traits, flowering time and dormancy, that are both partly regulated by the transcription factor FLC. The project will establish the contribution of a non-canonical molecular component to complex traits in higher organisms, breaking the dogma of a linear gene-transcript-phenotype relationship.

Application here before June 6th :

Starting date: Jan 1st 2023.