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Detalle de: Engineering a Robust Escherichia coli W Platform for Scalable Production of Flavonoid‐O‐Glucosides

Title Engineering a Robust Escherichia coli W Platform for Scalable Production of Flavonoid‐O‐Glucosides
Abstract

Flavonoids are valuable for pharmaceutical, cosmetic and food applications. However, poor solubility and bioavailability limit their widespread use. Biotechnological glycosylation of flavonoids helps address these limitations, but such bioprocesses remain constrained by the cost and availability of uridine diphosphate glucose (UDPG) and the inherent toxicity of flavonoids. In this study we demonstrate that Escherichia coli W is an optimal microbial host for glycosylation bioprocesses using sucrose as a carbon and UDPG source. Escherichia coli W outperforms the model E. coli K12 strain in terms of flavonoid tolerance and glycosylation capabilities. Optimization of sucrose metabolism through adaptive laboratory evolution (ALE) and targeted metabolic engineering to reroute glucose metabolism to UDPG further enhances E. coli W's glycosylation abilities. We validated our glycosylation platform for bench‐scale production of chrysin‐7‐O‐glucoside (C7O), a valuable flavonoid glucoside, overcoming key challenges related to the low solubility and bioavailability of its precursor, chrysin. To address bioavailability limitations, we implemented a fed‐batch bioprocess in a 3 L bioreactor which returned 1844 mg/L (3.3 mM) C7O, a specific production rate of 0.17 mmol C7O/g DCW·h and a 25.24 mg/g Yp/s after 76 h. An 82.1% yield (1515 mg/L C7O) post extraction and purification demonstrates the efficiency and scalability of the process for industrial bioproduction.

Apa Reference Carranza‐Saavedra, D., Torres‐Bacete, J., Bouju, E., Nuccio, S., Sordon, S., Huszcza, E., Popłoński, J., de Vaumas, R. & Nogales, J. (2025). Engineering a Robust Escherichia coli W Platform for Scalable Production of Flavonoid‐O‐Glucosides. Microbial Biotechnology, 18(10). 10.1111/1751-7915.70226
Doi 10.1111/1751-7915.70226
Publication Date Oct 2025
Publication Type Article
Researcher Juan Nogales
Ontology Model organisms, Metabolome profiling, Synthetic biology, Metabolic engineering
Research Groups Systems Biotechnology Group
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