| Literature DB >> 34099916 |
Tristan de Rond1, Julia E Asay2, Bradley S Moore3,4.
Abstract
Multidomain enzymes orchestrate two or more catalytic activities to carry out metabolic transformations with increased control and speed. Here, we report the design and development of a genome-mining approach for targeted discovery of biochemical transformations through the analysis of co-occurring enzyme domains (CO-ED) in a single protein. CO-ED was designed to identify unannotated multifunctional enzymes for functional characterization and discovery based on the premise that linked enzyme domains have evolved to function collaboratively. Guided by CO-ED, we targeted an unannotated predicted ThiF-nitroreductase di-domain enzyme found in more than 50 proteobacteria. Through heterologous expression and biochemical reconstitution, we discovered a series of natural products containing the rare oxazolone heterocycle and characterized their biosynthesis. Notably, we identified the di-domain enzyme as an oxazolone synthetase, validating CO-ED-guided genome mining as a methodology with potential broad utility for both the discovery of unusual enzymatic transformations and the functional annotation of multidomain enzymes.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34099916 PMCID: PMC8238888 DOI: 10.1038/s41589-021-00808-4
Source DB: PubMed Journal: Nat Chem Biol ISSN: 1552-4450 Impact factor: 15.040