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A codon-based live-cell biomonitoring system for assessing intracellular phenylalanine bioavailability in cyanobacteria.

Authors :
Jin, Haojie
Zhang, Jiaqi
Wang, Yan
Ge, Wanzhao
Jing, Yike
Cao, Xiaoyu
Huo, Yixin
Fu, Yujie
Source :
Biosensors & Bioelectronics. Jan2024, Vol. 244, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Phenylalanine, as an essential aromatic amino acid, is not only needed for protein and vital molecules such as neurotransmitter and hormone synthesis but also a substrate for the biosynthesis of phenylpropanoids and various bioactive compounds. The metabolism of phenylalanine is dynamic and transitory, which would otherwise inhibit cell growth. Therefore, it is challenging and imperative to monitor intracellular phenylalanine bioavailability in real time, which has great significance for evaluating the effectiveness of introducing pathway-specific genetic modifications to enhance phenylalanine generation. In this study, we proposed a live-cell biomonitoring system to assess phenylalanine bioavailability in real time in cyanobacteria based on codon degeneracy and species-specific usage bias. The biomonitoring system was generated through genetic modification of phenylalanine codons in the chloramphenicol antibiotic resistance gene to wholly preferred and rare codons, in combination with an orthogonal constitutive promoter Trc to express these genes. Cyanobacterial cells equipped with a preferred codon-based gene showed a significant growth advantage over those with rare codons under antibiotic pressure, while the delayed growth caused by rare codon-based genes could be rescued by supplementing phenylalanine in the cultivation medium. Increasing intracellular phenylalanine bioavailability could promote rare codon-based gene containing cell growth to a similar level as wild-type strains harboring preferred codon-based gene, providing a live-cell visualized screening method to relatively define phenylalanine content from either random mutation libraries or pathway-specific engineering cyanobacterial chassis before conducting labor-intensive quantitative measurements. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
244
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
173692248
Full Text :
https://doi.org/10.1016/j.bios.2023.115792