FLASH: A high-efficiency soybean-native protoplast platform for real-time protein localization and interaction studies
Soybean ( Glycine max (L.) Merr.), is one of the world’s most important oilseed and economic crops, yet its cell-biology-oriented gene-function studies remain hampered by low transformation efficiency and poor detection of fluorescent tags such as GFP. Researchers therefore routinely resort to heterologous systems like Arabidopsis or Nicotiana benthamiana , risking mis-localization and artifactual activity of soybean proteins and compromising physiological relevance. A robust, soybean-based platform is urgently needed. In this study, we introduce FLASH ( F luorescent L ocalization A ssay for S ubcellular in H airy-root-derived callus protoplasts). Transgenic hairy roots expressing fluorescent proteins are bulked into callus, from which protoplasts are isolated in a single step, > 80% of cells display bright, stable fluorescence within 24 h. Using FLASH we monitored, in real time, light-induced assembly of GmCRY photobodies in both the nucleus and cytoplasm, and confirmed nuclear co-localization of GmCRY1b with STF1. FLASH offers a high-fidelity, high-throughput solution for subcellular localization, protein–protein interaction and phase-separation studies of soybean proteins.
Authors
- Tao Zhao (ORCID: https://orcid.org/0000-0002-5641-8161)
- Ronghuan Ji (ORCID: https://orcid.org/0000-0001-7746-0943)
- Bin Liu (ORCID: https://orcid.org/0000-0002-5836-2333)
- Jun Liu
- Hongyu Li (ORCID: https://orcid.org/0000-0002-0466-3931)
- Chao Qin
- Xiuzhi Wei
Institutions
- Institute of Crop Sciences (CN)
Publication Details
- Journal
- The Crop Journal
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1016/j.cj.2026.03.006
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China