Joint Calls

Application of genomics to dissect Polycomb-group protein mediated control of plant development

  • Acronym PcG-code
  • Duration 3 years
  • Project leader Franziska Turck, MPI for Plant Breeding Research, Cologne, Germany
  • Other project participants Heiko Schoof, MPI for Plant Breeding Research, Cologne, Germany
    Daniel Schubert, Heinrich Heine University of Düsseldorf, Germany
    Ben Scheres, University of Utrecht, The Netherlands
    Justin Goodrich, University of Edinburgh, UK
  • Funding The German Research Foundation (DFG), Germany
    Netherlands Genomics Initiative / Netherlands Organisation for Scientific Research (NGI/NWO), The Netherlands
    Biotechnological and Biological Sciences Research Council (BBSRC), UK
  • Total Granted budget € 1,372,515


The ERA-NET PcG-code aims to achieve three interdependent objectives. First, based on knowledge provided by existing genomic H3K27me3 ChIP and developmental transcriptome datasets new genes will be discovered that play an important role in plant development. Second, the existing genomic datasets will be complemented in order to provide the tool-box that is required to predict cis-elements that recruit PcG proteins, annotate the specific PRC2 complexes to groups of genes and infer functional predictions based on these relationships. All predictions will be experimentally tested and the quality of the approach evaluated accordingly. Last, target genes that are regulated by a selection of developmentally important transcription factors which are under PRC2 control will be identified and the interaction between PRC2 factors and upstream regulators of these genes will be dissected. The aim is to identify realizator genes that translate the developmental impact driven by PcG-controlled transcription factor networks to cellular function.

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