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Engineering carboxyl methyltransferase for high-efficiency biosynthesis of methyl salicylate in Escherichia coli.

Created on 21 Sep 2026

Authors

Yuan Gao, Shibo Guo, Jun Wu, Jingyan Wang, Huan Liu, Jimin Guo, Xinxiao Sun, Jia Wang, Xiaolin Shen, Qipeng Yuan

Published in

Bioresource technology. Pages 135886. Sep 20, 2026. Epub Sep 20, 2026.

Abstract

Methyl salicylate (MeSA) is a volatile methylated aromatic ester widely used in agriculture, food, and pharmaceuticals. Microbial biosynthesis offers a sustainable alternative to plant extraction and petrochemical synthesis; however, efficient MeSA production remains limited by the low catalytic efficiency of carboxyl methyltransferases, insufficient intracellular supply of S-adenosylmethionine (SAM), and severe product volatilization during fermentation. In this study, we systematically screened salicylate carboxymethyltransferase and identified CbSAMT as a relatively efficient catalyst for salicylic acid (SA). To further improve catalytic performance, we engineered CbSAMT through fusion-protein design. Remarkably, the catalytic efficiency of 7 × His-CbSAMT was 12-fold higher than that of the wild-type. Molecular dynamics simulations and computational analyses revealed that the polyhistidine tag reshaped the catalytic microenvironment by remodeling the hydrogen-bonding network and reducing the distance between SA and key substrate-positioning residues, thereby enhancing substrate binding and catalytic turnover. To further enhance MeSA biosynthesis, we reinforced intracellular SAM regeneration and established an in situ two-phase fermentation system using n-dodecane as the extractant to alleviate product volatilization. Finally, fed-batch fermentation achieved a MeSA titer of 5.12 g/L, representing the highest production level reported to date. Collectively, this study highlights the potential of polyhistidine tags in enzyme engineering and provides an efficient platform for the biosynthesis of volatile methylated natural products.

PMID:
42764027
Bibliographic data and abstract were imported from PubMed on 21 Sep 2026.

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