Linking genomics and metabolomics to chart specialized metabolic diversity

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.

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Main Authors: van der Hooft, Justin J.J., Mohimani, Hosein, Bauermeister, Anelize, Dorrestein, Pieter C., Duncan, Katherine R., Medema, Marnix H.
Format: Article/Letter to editor biblioteca
Language:English
Subjects:Life Science,
Online Access:https://research.wur.nl/en/publications/linking-genomics-and-metabolomics-to-chart-specialized-metabolic-
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spelling dig-wur-nl-wurpubs-5663092024-10-02 van der Hooft, Justin J.J. Mohimani, Hosein Bauermeister, Anelize Dorrestein, Pieter C. Duncan, Katherine R. Medema, Marnix H. Article/Letter to editor Chemical Society Reviews 49 (2020) 11 ISSN: 0306-0012 Linking genomics and metabolomics to chart specialized metabolic diversity 2020 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. en application/pdf https://research.wur.nl/en/publications/linking-genomics-and-metabolomics-to-chart-specialized-metabolic- 10.1039/d0cs00162g https://edepot.wur.nl/525204 Life Science https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Life Science
Life Science
spellingShingle Life Science
Life Science
van der Hooft, Justin J.J.
Mohimani, Hosein
Bauermeister, Anelize
Dorrestein, Pieter C.
Duncan, Katherine R.
Medema, Marnix H.
Linking genomics and metabolomics to chart specialized metabolic diversity
description 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.
format Article/Letter to editor
topic_facet Life Science
author van der Hooft, Justin J.J.
Mohimani, Hosein
Bauermeister, Anelize
Dorrestein, Pieter C.
Duncan, Katherine R.
Medema, Marnix H.
author_facet van der Hooft, Justin J.J.
Mohimani, Hosein
Bauermeister, Anelize
Dorrestein, Pieter C.
Duncan, Katherine R.
Medema, Marnix H.
author_sort van der Hooft, Justin J.J.
title Linking genomics and metabolomics to chart specialized metabolic diversity
title_short Linking genomics and metabolomics to chart specialized metabolic diversity
title_full Linking genomics and metabolomics to chart specialized metabolic diversity
title_fullStr Linking genomics and metabolomics to chart specialized metabolic diversity
title_full_unstemmed Linking genomics and metabolomics to chart specialized metabolic diversity
title_sort linking genomics and metabolomics to chart specialized metabolic diversity
url https://research.wur.nl/en/publications/linking-genomics-and-metabolomics-to-chart-specialized-metabolic-
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