Sorghum Metabolic Atlas: A fluorescent protein‐based subcellular localization resource for sorghum enzymes
Purva Karia, William P. Dwyer, Ava Kloss‐Schmidt, Charles Hawkins, Bo Xue, Daniel Ginzburg, Maxine L. Gutierrez, Ritesh Mewalal, Ian Blaby, David W. Ehrhardt, Seung Y. RheeSUMMARY
Plant metabolism drives traits essential for productivity and resilience, yet understanding metabolic networks requires subcellular, cellular, and tissue‐level spatial context that remains limited, particularly in crop species. Experimentally derived subcellular localization data for enzymes are sparse, constraining analyses of metabolic organization in the cell. We developed a high‐throughput protoplast transformation and fluorescent protein (FP) tagging system optimized for
Sorghum bicolor
, a climate‐resilient C
4
crop. Using this platform, we experimentally determined the subcellular localization of 234 metabolic enzymes spanning 184 pathways. The sorghum enzymes we characterized localize to 12 subcellular compartments. Comparison with computational predictions highlights variable accuracy across compartments, and cross‐species comparison with
Arabidopsis thaliana
shows partial agreement with available experimental data. All data are accessible through the Sorghum Metabolic Atlas (