Visualisation and Prediction of Phosphate Deficiency via Auto‐Glowing Plant Bioluminescent Sensors
Summary statement This study introduces BioLumiPi, a novel, low‐cost, and non‐invasive biosensor plant, engineered by combining a phosphate (Pi) deficiency‐induced promoter with a fungal bioluminescence system in tobacco. BioLumiPi plants emit light that accurately reflects endogenous Pi deficiency and responds specifically to Pi levels. Coupled with deep learning analysis, this technology offers a proof‐of‐concept strategy for real‐time visualisation and prediction of nutrient stress to optimise fertiliser application and advance sustainable agriculture.
Authors
- Haojun Lu
- Huang Huai-ji
- Karen S. Sarkisyan (ORCID: https://orcid.org/0000-0002-5375-6341)
- Alexander S. Mishin (ORCID: https://orcid.org/0000-0002-4935-7030)
- Chiu‐Han Hsiao (ORCID: https://orcid.org/0000-0002-8475-7400)
- Ting-Yang Lu
- Ming‐Jung Liu (ORCID: https://orcid.org/0000-0002-9886-9948)
- Ting‐Ying Wu (ORCID: https://orcid.org/0000-0001-6488-5133)
- Cheng-Jiun Huang
- Ching‐Wen Chiu
- Liang‐Jie Chiu
- Ya‐Ru Li
- Ya‐Fen Zhan
Institutions
- National Chung Hsing University (TW)
- National Taiwan University (TW)
- Southern Taiwan Science Park (TW)
- Research Center for Information Technology Innovation, Academia Sinica (TW)
- Institute of Plant and Microbial Biology, Academia Sinica (TW)
- Institute of Bioorganic Chemistry (RU)
- NIHR Imperial Biomedical Research Centre (GB)
- Agricultural Biotechnology Research Center, Academia Sinica (TW)
- MRC London Institute of Medical Sciences (GB)
- Imperial College London (GB)
- Southern Taiwan University of Science and Technology (TW)
- National Taipei University (TW)
Publication Details
- Journal
- Plant Cell & Environment
- Published
- 2026-05-31
- DOI
- https://doi.org/10.1111/pce.70637
- Primary Topic
- Light effects on plants
- Type
- article
- Field-Weighted Citation Impact
- 0.00