TY - JOUR
T1 - Linking genomics and metabolomics to chart specialized metabolic diversity
AU - van der Hooft, Justin J.J.
AU - Mohimani, Hosein
AU - Bauermeister, Anelize
AU - Dorrestein, Pieter C.
AU - Duncan, Katherine R.
AU - Medema, Marnix H.
PY - 2020/6/7
Y1 - 2020/6/7
N2 - 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.
AB - 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.
U2 - 10.1039/d0cs00162g
DO - 10.1039/d0cs00162g
M3 - Article
C2 - 32393943
AN - SCOPUS:85086284630
SN - 0306-0012
VL - 49
SP - 3297
EP - 3314
JO - Chemical Society Reviews
JF - Chemical Society Reviews
IS - 11
ER -