Visualisation and Prediction of Phosphate Deficiency via Auto‐Glowing Plant Bioluminescent Sensors

Plant Cell & Environment 2026 Open access

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Authors: Ching‐Wen Chiu, Ya‐Fen Zhan, Ting-Yang Lu, Liang‐Jie Chiu, Ya‐Ru Li, Cheng-Jiun Huang, Haojun Lu, Huang Huai-ji, Alexander S. Mishin, Karen S. Sarkisyan, Ting‐Ying Wu, Chiu‐Han Hsiao
+1 more Ming‐Jung Liu
DOI: 10.1111/pce.70637
Cited by: 1
References: 13

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.

Fields of Study & Subjects

Light effects on plants bioluminescence and chemiluminescence research Plant and Biological Electrophysiology Studies

Publication details

Journal / source
Plant Cell & Environment
Publisher
Wiley
Volume
49
Issue
9
Pages
6558–6561
Publication date
31 May 2026
Language
EN