作者: Justin J. J. van der Hooft , Hosein Mohimani , Anelize Bauermeister , Pieter C. Dorrestein , Katherine R. Duncan
DOI: 10.1039/D0CS00162G
关键词: Omics data 、 Metabolic diversity 、 Genomics 、 Chemical diversity 、 Experimental work 、 Metabolomics 、 Computational biology
摘要: Microbial and plant specialized metabolites constitute an immense chemical diversity, play key roles in mediating ecological interactions between organisms. Also referred to as natural products, they have been widely applied medicine, agriculture, cosmetic food industries. Traditionally, the main discovery strategies centered around use of activity-guided fractionation metabolite extracts. Increasingly, omics data is being used complement this, it has potential reduce rediscovery rates, guide experimental work towards most promising metabolites, identify enzymatic pathways that enable their biosynthetic production. In recent years, genomic metabolomic analyses metabolic diversity scaled up study thousands samples simultaneously. Here, we survey analysis technologies facilitate effective exploration large datasets, discuss various emerging integrate these two types order further accelerate discovery.