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Lookup NU author(s): Dr Katherine DuncanORCiD
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© 2019 FEMS. Secondary metabolites can be viewed as a chemical language, facilitating communication between microorganisms. From an ecological point of view, this metabolite exchange is in constant flux due to evolutionary and environmental pressures. From a biomedical perspective, the chemistry is unsurpassed for its antibiotic properties. Genome sequencing of microorganisms has revealed a large reservoir of Biosynthetic Gene Clusters (BGCs); however, linking these to the secondary metabolites they encode is currently a major bottleneck to chemical discovery. This linking of genes to metabolites with experimental validation will aid the elicitation of silent or cryptic (not expressed under normal laboratory conditions) BGCs. As a result, this will accelerate chemical dereplication, our understanding of gene transcription and provide a comprehensive resource for synthetic biology. This will ultimately provide an improved understanding of both the biosynthetic and chemical space. In recent years, integrating these complex metabolomic and genomic data sets has been achieved using a spectrum of manual and automated approaches. In this review, we cover examples of these approaches, while addressing current challenges and future directions in linking these data sets.
Author(s): Soldatou S, Eldjarn GH, Huerta-Uribe A, Rogers S, Duncan KR
Publication type: Review
Publication status: Published
Journal: FEMS Microbiology Letters
Year: 2019
Volume: 366
Issue: 13
Print publication date: 01/07/2019
Online publication date: 28/06/2019
Acceptance date: 19/07/2019
ISSN (print): 0378-1097
ISSN (electronic): 1574-6968
Publisher: Oxford University Press
URL: https://doi.org/10.1093/femsle/fnz142
DOI: 10.1093/femsle/fnz142
PubMed id: 31252431
