Multiplexed profiling of transcriptional regulators in plant cells

Transcriptional regulators play key roles in plant growth, development, and environmental responses; however, understanding how their regulatory activity is encoded at the protein level has been hindered by a lack of multiplexed large-scale methods to characterize protein libraries in planta. Here, we present ENTRAP-seq (Enrichment of Nuclear Trans-elements Reporter Assay in Plants), a high-throughput method that introduces protein-coding libraries into plant cells to drive a nuclear magnetic sorting-based reporter, enabling multiplexed measurement of regulatory activity from thousands of protein variants. Using ENTRAP-seq and machine learning, we screened 1,495 plant viruses and identified hundreds of novel putative transcriptional regulatory domains found in structural proteins and enzymes not associated with gene regulation. In addition, we combined ENTRAP-seq with machine-guided design to engineer the activity of a plant transcription factor in a semi-rational fashion. Our findings demonstrate how scalable protein function assays deployed in planta will enable the characterization of natural and synthetic coding diversity in plants.