Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology

ABSTRACT Microbial and plant specialized metabolites, also known as natural products, are key mediators of microbe-microbe and host-microbe interactions and constitute a rich resource for drug development. In the past decade, genome mining has emerged as a prominent strategy for natural product disc...

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Autor principal: Marnix H. Medema
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Lenguaje:EN
Publicado: American Society for Microbiology 2018
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Acceso en línea:https://doaj.org/article/21f0e9c8f5004a0e8d814ad8976edbc2
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spelling oai:doaj.org-article:21f0e9c8f5004a0e8d814ad8976edbc22021-12-02T19:46:20ZComputational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology10.1128/mSystems.00182-172379-5077https://doaj.org/article/21f0e9c8f5004a0e8d814ad8976edbc22018-04-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00182-17https://doaj.org/toc/2379-5077ABSTRACT Microbial and plant specialized metabolites, also known as natural products, are key mediators of microbe-microbe and host-microbe interactions and constitute a rich resource for drug development. In the past decade, genome mining has emerged as a prominent strategy for natural product discovery. Initially, such mining was performed on the basis of individual microbial genome sequences. Now, these efforts are being scaled up to fully genome-sequenced strain collections, pangenomes of bacterial genera, and large sets of metagenome-assembled genomes from microbial communities. The Medema research group aims to play a leading role in these developments by developing and applying computational approaches to identify, classify, and prioritize specialized metabolite biosynthetic gene clusters and pathways and to connect them to specific molecules and microbiome-associated phenotypes. Moreover, we are extending the scope of genome mining from microbes to plants, which will allow more comprehensive interpretation of the chemical language between hosts and microbes in a microbiome setting.Marnix H. MedemaAmerican Society for Microbiologyarticlebioinformaticsbiosynthetic gene clustermicrobiomenatural productsspecialized metabolismMicrobiologyQR1-502ENmSystems, Vol 3, Iss 2 (2018)
institution DOAJ
collection DOAJ
language EN
topic bioinformatics
biosynthetic gene cluster
microbiome
natural products
specialized metabolism
Microbiology
QR1-502
spellingShingle bioinformatics
biosynthetic gene cluster
microbiome
natural products
specialized metabolism
Microbiology
QR1-502
Marnix H. Medema
Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
description ABSTRACT Microbial and plant specialized metabolites, also known as natural products, are key mediators of microbe-microbe and host-microbe interactions and constitute a rich resource for drug development. In the past decade, genome mining has emerged as a prominent strategy for natural product discovery. Initially, such mining was performed on the basis of individual microbial genome sequences. Now, these efforts are being scaled up to fully genome-sequenced strain collections, pangenomes of bacterial genera, and large sets of metagenome-assembled genomes from microbial communities. The Medema research group aims to play a leading role in these developments by developing and applying computational approaches to identify, classify, and prioritize specialized metabolite biosynthetic gene clusters and pathways and to connect them to specific molecules and microbiome-associated phenotypes. Moreover, we are extending the scope of genome mining from microbes to plants, which will allow more comprehensive interpretation of the chemical language between hosts and microbes in a microbiome setting.
format article
author Marnix H. Medema
author_facet Marnix H. Medema
author_sort Marnix H. Medema
title Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
title_short Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
title_full Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
title_fullStr Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
title_full_unstemmed Computational Genomics of Specialized Metabolism: from Natural Product Discovery to Microbiome Ecology
title_sort computational genomics of specialized metabolism: from natural product discovery to microbiome ecology
publisher American Society for Microbiology
publishDate 2018
url https://doaj.org/article/21f0e9c8f5004a0e8d814ad8976edbc2
work_keys_str_mv AT marnixhmedema computationalgenomicsofspecializedmetabolismfromnaturalproductdiscoverytomicrobiomeecology
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