Qiwei Wang, Zhifen Huang, Sen Ma, Mingxue Ma, Sheng Ye, Si Liu
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引用次数: 0
Abstract
The growing demand for glycolate, fueled by economic development, requires the advancement of production methods. Escherichia coli (E. coli), a preferred host for glycolate production, has undergone extensive metabolic engineering to improve yield. Developing rapid and precise methods for quantifying glycolate concentration is essential for screening high-yielding strains. Here, we present the engineering of a novel circularly permuted green fluorescent protein (cpGFP)-based glycolate sensor, termed GLYCO. GLYCO exhibits high specificity (minimal interference from other metabolites), stability (no decrease in performance after 15 days at -80 °C), and ease of detection via fluorescence measurement, enabling effective in vitro glycolate quantification. GLYCO spans a quantification range from 10 μM to 1 mM, facilitating effective monitoring of glycolate production in metabolically engineered E. coli strains. This biosensor represents a significant advancement in the metabolic engineering toolkit, facilitating efficient detection and optimization of glycolate production in E. coli, with potential applications in industrial biotechnology.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.