Linking biosynthetic genes to natural products using inverse stable isotopic labeling (InverSIL).


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2024
Historique:
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 18 8 2024
Statut: ppublish

Résumé

The sequencing of microbial genomes has far outpaced their functional annotation. Stable isotopic labeling can be used to link biosynthetic genes with their natural products; however, the availability of the required isotopically substituted precursors can limit the accessibility of this approach. Here, we describe a method for using inverse stable isotopic labeling (InverSIL) to link biosynthetic genes with their natural products. With InverSIL, a microbe is grown on an isotopically substituted medium to create a fully substituted culture, and subsequently, the incorporation of precursors of natural isotopic abundance can be tracked by mass spectrometry. This eliminates issues with isotopically substituted precursor availability. We demonstrate the utility of this approach by linking a luxI-type acyl-homoserine lactone synthase gene in a bacterium that grows on methanol with its quorum sensing signal products. In the future, InverSIL can also be used to link biosynthetic gene clusters hypothesized to produce siderophores with their natural products.

Identifiants

pubmed: 39155113
pii: S0076-6879(24)00290-8
doi: 10.1016/bs.mie.2024.06.005
pii:
doi:

Substances chimiques

Biological Products 0
Bacterial Proteins 0
Carbon Isotopes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

215-227

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Tashi C E Liebergesell (TCE)

Department of Chemistry and the Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, UT, United States.

Aaron W Puri (AW)

Department of Chemistry and the Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, UT, United States. Electronic address: a.puri@utah.edu.

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Classifications MeSH