Sorghum Metabolic Atlas: A fluorescent protein‐based subcellular localization resource for sorghum enzymes

SUMMARY 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 ( www.sorghummetabolicatlas.org ) web platform, enabling search, visualization, and download. This study presents a large‐scale experimental dataset of enzyme localization in sorghum, providing a resource for studies of plant metabolic organization and comparative analyses.

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Publication Details

Journal
The Plant Journal
Published
2026-10-29
DOI
https://doi.org/10.1111/tpj.71166
Primary Topic
Plant nutrient uptake and metabolism
Type
article
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article

Sorghum Metabolic Atlas: A fluorescent protein‐based subcellular localization resource for sorghum enzymes

William Dwyer, Charles L. Hawkins, Ritesh Mewalal, Bo Xue et al.
The Plant Journal
Plant nutrient uptake and metabolism
article

Sorghum Metabolic Atlas: A fluorescent protein‐based subcellular localization resource for sorghum enzymes

William Dwyer, Charles L. Hawkins, Ritesh Mewalal, Bo Xue, David W. Ehrhardt, Ian K. Blaby, Daniel N. Ginzburg, Seung Y. Rhee, Purva Karia, Ava Kloss-Schmidt, Maxine L. Gutierrez
article en

Abstract

SUMMARY 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 ( www.sorghummetabolicatlas.org ) web platform, enabling search, visualization, and download. This study presents a large‐scale experimental dataset of enzyme localization in sorghum, providing a resource for studies of plant metabolic organization and comparative analyses.

The Plant JournalVol. 128(3)
Joint Genome Institute (US), Carnegie Institution for Science (US), Carnegie Department of Plant Biology (US), Michigan State University (US)
Openalex Percentile: Top 14%
Plant nutrient uptake and metabolism
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