New workflow for the structure elucidation of trace amount natural products with microgram-scale crystalline sponge method: a scaled-down genome-mining study

Abstract Genome mining, an effective approach to natural product discovery, often requires large-scale cultivation (several to dozens of liters). Here, we demonstrate that the crystalline sponge method significantly reduces the cultivation scale as the method requires only a microgram quantity of an analyte. Prior to the NMR study, we directly addressed the X-ray structure of a natural product from a terpene synthase, which was heterologously expressed by only a 25-mL scale cultivation.

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Publication Details

Journal
Chemistry Letters
Published
2024-11-01
DOI
https://doi.org/10.1093/chemle/upae202
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00

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article

New workflow for the structure elucidation of trace amount natural products with microgram-scale crystalline sponge method: a scaled-down genome-mining study

Chanho Park, Makoto Fujita, Naoki Wada, Takashi Kikuchi et al.
Chemistry Letters
Identification and Quantification in Food
article

New workflow for the structure elucidation of trace amount natural products with microgram-scale crystalline sponge method: a scaled-down genome-mining study

Chanho Park, Makoto Fujita, Naoki Wada, Takashi Kikuchi, Takaaki Mitsuhashi
article en

Abstract

Abstract Genome mining, an effective approach to natural product discovery, often requires large-scale cultivation (several to dozens of liters). Here, we demonstrate that the crystalline sponge method significantly reduces the cultivation scale as the method requires only a microgram quantity of an analyte. Prior to the NMR study, we directly addressed the X-ray structure of a natural product from a terpene synthase, which was heterologously expressed by only a 25-mL scale cultivation.

Chemistry LettersVol. 53(11)
Rigaku (Japan) (JP), Institute for Molecular Science (JP), Seikagaku Corporation (Japan) (JP), The University of Tokyo (JP)
Japan Agency for Medical Research and Development
Openalex Percentile: Top 82%
Identification and Quantification in Food
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