Linking genomics and metabolomics to chart specialized metabolic diversity.
Bacteria
/ metabolism
Biological Products
/ chemistry
Biosynthetic Pathways
Computational Biology
Computer Simulation
Data Mining
Databases, Genetic
Drug Discovery
Fungi
/ metabolism
Genomics
/ methods
High-Throughput Screening Assays
Humans
Metabolomics
/ methods
Plants
/ metabolism
Secondary Metabolism
Journal
Chemical Society reviews
ISSN: 1460-4744
Titre abrégé: Chem Soc Rev
Pays: England
ID NLM: 0335405
Informations de publication
Date de publication:
07 Jun 2020
07 Jun 2020
Historique:
pubmed:
13
5
2020
medline:
9
1
2021
entrez:
13
5
2020
Statut:
ppublish
Résumé
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.
Substances chimiques
Biological Products
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM