Computational genomics of specialized metabolism : From natural product discovery to microbiome ecology
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, pan-genomes 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.
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Bioinformatics, Biosynthetic gene cluster, Microbiome, Natural products, Specialized metabolism, |
Online Access: | https://research.wur.nl/en/publications/computational-genomics-of-specialized-metabolism-from-natural-pro |
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dig-wur-nl-wurpubs-5365612024-09-23 Medema, Marnix H. Article/Letter to editor mSystems 3 (2018) 2 ISSN: 2379-5077 Computational genomics of specialized metabolism : From natural product discovery to microbiome ecology 2018 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, pan-genomes 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. en application/pdf https://research.wur.nl/en/publications/computational-genomics-of-specialized-metabolism-from-natural-pro 10.1128/mSystems.00182-17 https://edepot.wur.nl/447217 Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism |
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Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism Medema, Marnix H. Computational genomics of specialized metabolism : From natural product discovery to microbiome ecology |
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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, pan-genomes 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/Letter to editor |
topic_facet |
Bioinformatics Biosynthetic gene cluster Microbiome Natural products Specialized metabolism |
author |
Medema, Marnix H. |
author_facet |
Medema, Marnix H. |
author_sort |
Medema, Marnix H. |
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 |
url |
https://research.wur.nl/en/publications/computational-genomics-of-specialized-metabolism-from-natural-pro |
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AT medemamarnixh computationalgenomicsofspecializedmetabolismfromnaturalproductdiscoverytomicrobiomeecology |
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1813198294766059520 |