Browse by author
Lookup NU author(s): Dr Katherine DuncanORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2020 The Royal Society of Chemistry.Microbial and plant specialized metabolites constitute an immense chemical diversity, and play key roles in mediating ecological interactions between organisms. Also referred to as natural products, they have been widely applied in medicine, agriculture, cosmetic and food industries. Traditionally, the main discovery strategies have centered around the use of activity-guided fractionation of metabolite extracts. Increasingly, omics data is being used to complement this, as it has the potential to reduce rediscovery rates, guide experimental work towards the most promising metabolites, and identify enzymatic pathways that enable their biosynthetic production. In recent years, genomic and metabolomic analyses of specialized metabolic diversity have been scaled up to study thousands of samples simultaneously. Here, we survey data analysis technologies that facilitate the effective exploration of large genomic and metabolomic datasets, and discuss various emerging strategies to integrate these two types of omics data in order to further accelerate discovery.
Author(s): Van Der Hooft JJJ, Mohimani H, Bauermeister A, Dorrestein PC, Duncan KR, Medema MH
Publication type: Review
Publication status: Published
Journal: Chemical Society Reviews
Year: 2020
Volume: 49
Issue: 11
Pages: 3297-3314
Print publication date: 07/06/2020
Online publication date: 12/05/2020
Acceptance date: 02/04/2020
ISSN (print): 0306-0012
ISSN (electronic): 1460-4744
Publisher: Royal Society of Chemistry
URL: https://doi.org/10.1039/d0cs00162g
DOI: 10.1039/d0cs00162g
PubMed id: 32393943
