ReviewJournal of biological engineering2025
Development of a semi-endogenous PRT-based expression system for Methylotuvimicrobium alcaliphilum and its application to enhance 3-hydroxybutyric acid production from methanol.
Review in Journal of biological engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Hybrid metabolic engineering enables xylose-driven co-production of polyhydroxybutyrate and violacein in Escherichia coli.Journal of biological engineering · 2026Article
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2 authors.
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Abstract
backgroundEndogenous expression systems, such as those incorporating promoters, ribosome-binding sites (RBS), and terminators (i.e., PRT systems), have been developed for various bacterial host strains. However, intact native promoters are typically long sequences that include regulated regions, which hinder the production of recombinant proteins.
resultsIn this study, a semi-endogenous PRT system based on 20-40 nucleotide motif sequences derived from the genome of the target host strains was developed using machine learning-based prediction tools. This system was subsequently fine-tuned and optimized based on transcription and translation rates as well as the Gibbs free energy of the terminator structure. This system was validated, and its effectiveness was demonstrated by using it to induce the expression of dTomato, ZeocinR, and phaCAB cluster genes in E. coli. The semi-endogenous PRT was also used for enhanced production of 303 ± 6.39 mg/L 3-hydroxybutyric acid (3-HB) from methanol as the sole carbon source in a 50-mL nitrate mineral salt (NMS) flask after 234 h with overexpression of exogenous phaA and phaB genes in the Methylotuvimicrobium alcaliphilum 20ZX strain.
conclusionsThe semi-endogenous PRT system was efficiently designed and served as an endogenous expression system in both E. coli and methanotroph. This system will offer more choices for selecting an endogenous expression platform tailored to the target host strain.
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