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Peer-reviewedCC BYThe Plant journal : for cell and molecular biology

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

  • Purva Karia1
  • William P Dwyer1
  • Ava Kloss-Schmidt1
  • Charles Hawkins1,2,3,4,5
  • Bo Xue1,2,3,4,5
  • Daniel Ginzburg1
  • Maxine L Gutierrez1
  • Ritesh Mewalal6
  • Ian Blaby6
  • David W Ehrhardt1
  • Seung Y Rhee1,2,3,4,5
6 affiliations
  1. 1Department of Plant Biology, Biosphere Sciences and Engineering, Carnegie Science, Stanford, California, 94305, USA.
  2. 2Plant Resilience Institute, Michigan State University, East Lansing, Michigan, 48824, USA.
  3. 3Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, 48824, USA.
  4. 4Department of Plant Biology, Michigan State University, East Lansing, Michigan, 48824, USA.
  5. 5Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, Michigan, 48824, USA.
  6. 6DOE Joint Genome Institute (JGI), Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA.
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Abstract

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 C₄ 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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Cite

BibTeXRIS
BibTeX
@article{karia2026sorghum,
  title = {{Sorghum Metabolic Atlas: A fluorescent protein-based subcellular localization resource for sorghum enzymes.}},
  author = {Purva Karia and William P Dwyer and Ava Kloss-Schmidt and Charles Hawkins and Bo Xue and Daniel Ginzburg and Maxine L Gutierrez and Ritesh Mewalal and Ian Blaby and David W Ehrhardt and Seung Y Rhee},
  journal = {The Plant journal : for cell and molecular biology},
  year = {2026},
  month = oct,
  doi = {10.1111/tpj.71166},
  url = {https://europepmc.org/article/MED/42958708},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Sorghum Metabolic Atlas: A fluorescent protein-based subcellular localization resource for sorghum enzymes.
AU  - Purva Karia
AU  - William P Dwyer
AU  - Ava Kloss-Schmidt
AU  - Charles Hawkins
AU  - Bo Xue
AU  - Daniel Ginzburg
AU  - Maxine L Gutierrez
AU  - Ritesh Mewalal
AU  - Ian Blaby
AU  - David W Ehrhardt
AU  - Seung Y Rhee
PY  - 2026
DA  - 2026/10/29
JO  - The Plant journal : for cell and molecular biology
DO  - 10.1111/tpj.71166
UR  - https://europepmc.org/article/MED/42958708
AB  - 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 C₄ 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.
SN  - 0960-7412
SN  - 1365-313X
ER  -