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.