Integration of biological and information technologies to enhance plant autoluminescence

Autoluminescent plants have been genetically modified to express the fungal bioluminescence pathway (FBP). However, a bottleneck in precursor production has limited the brightness of these luminescent plants. Here, we demonstrate the effectiveness of utilizing a computational model to guide a multiplex five-gene-silencing strategy by an artificial microRNA array to enhance caffeic acid (CA) and hispidin levels in plants. By combining loss-of-function-directed metabolic flux with a tyrosine-derived CA pathway, we achieved substantially enhanced bioluminescence levels. We successfully generated eFBP2 plants that emit considerably brighter bioluminescence for naked-eye reading by integrating all validated DNA modules. Our analysis revealed that the luminous energy conversion efficiency of the eFBP2 plants is currently very low, suggesting that luminescence intensity can be improved in future iterations. These findings highlight the potential to enhance plant luminescence through the integration of biological and information technologies.

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Publication Details

Journal
The Plant Cell
Published
2024-08-21
DOI
https://doi.org/10.1093/plcell/koae236
Citations
16
Primary Topic
Light effects on plants
Type
article
Field-Weighted Citation Impact
9.59

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article

Integration of biological and information technologies to enhance plant autoluminescence

Jingling Zhong, Tiange Wang, Jiming Xu, Suchen Li et al.
16 citations
The Plant Cell
Light effects on plants
9.59
article

Integration of biological and information technologies to enhance plant autoluminescence

Jingling Zhong, Tiange Wang, Jiming Xu, Suchen Li, Daren Luo, Xuye Lang, Chengyi Qu, Hongyu Chen, Zheng Peng, Qiao He, Jin Hu, Shun Wang, Wei Li, Jiayi Ji, Jieyu Ge
article en
16 citations

Abstract

Autoluminescent plants have been genetically modified to express the fungal bioluminescence pathway (FBP). However, a bottleneck in precursor production has limited the brightness of these luminescent plants. Here, we demonstrate the effectiveness of utilizing a computational model to guide a multiplex five-gene-silencing strategy by an artificial microRNA array to enhance caffeic acid (CA) and hispidin levels in plants. By combining loss-of-function-directed metabolic flux with a tyrosine-derived CA pathway, we achieved substantially enhanced bioluminescence levels. We successfully generated eFBP2 plants that emit considerably brighter bioluminescence for naked-eye reading by integrating all validated DNA modules. Our analysis revealed that the luminous energy conversion efficiency of the eFBP2 plants is currently very low, suggesting that luminescence intensity can be improved in future iterations. These findings highlight the potential to enhance plant luminescence through the integration of biological and information technologies.

The Plant CellVol. 36(11)
Zhejiang University of Science and Technology (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
China Agricultural University, Sun Yat-sen University, Ministry of Education, India, Zhejiang University, Chinese Academy of Agricultural Sciences, South China Agricultural University, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 2%
Light effects on plants
9.59
DOIOpen Access PDFOpenAlex
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