Visualisation and Prediction of Phosphate Deficiency via Auto‐Glowing Plant Bioluminescent Sensors
Year: 2026
Type: article
Abstract: 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.
Source: Plant Cell & Environment
DOI: 10.1111/pce.70637
Institutions: Academia Sinica, Research Center for Information Technology Innovation, Academia Sinica, National Taiwan University, Institute of Bioorganic Chemistry, Imperial College London, Institute of Plant and Microbial Biology, Academia Sinica, National Chung Hsing University, Agricultural Biotechnology Research Center, Academia Sinica
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $5,440
Awards: G2662501274, G3852845872, G4525998366
OpenAlex ID: W7162995068