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The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota
Anaerobic bacteria from the human microbiome produce a wide array of molecules at high concentrations that can directly or indirectly affect the host. The production of these molecules, mostly derived from their primary metabolism, is frequently encoded in metabolic gene clusters (MGCs). However, de...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262752/ https://www.ncbi.nlm.nih.gov/pubmed/34019648 http://dx.doi.org/10.1093/nar/gkab353 |
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author | Pascal Andreu, Victòria Roel-Touris, Jorge Dodd, Dylan Fischbach, Michael A Medema, Marnix H |
author_facet | Pascal Andreu, Victòria Roel-Touris, Jorge Dodd, Dylan Fischbach, Michael A Medema, Marnix H |
author_sort | Pascal Andreu, Victòria |
collection | PubMed |
description | Anaerobic bacteria from the human microbiome produce a wide array of molecules at high concentrations that can directly or indirectly affect the host. The production of these molecules, mostly derived from their primary metabolism, is frequently encoded in metabolic gene clusters (MGCs). However, despite the importance of microbiome-derived primary metabolites, no tool existed to predict the gene clusters responsible for their production. For this reason, we recently introduced gutSMASH. gutSMASH can predict 41 different known pathways, including MGCs involved in bioenergetics, but also putative ones that are candidates for novel pathway discovery. To make the tool more user-friendly and accessible, we here present the gutSMASH web server, hosted at https://gutsmash.bioinformatics.nl/. The user can either input the GenBank assembly accession or upload a genome file in FASTA or GenBank format. Optionally, the user can enable additional analyses to obtain further insights into the predicted MGCs. An interactive HTML output (viewable online or downloadable for offline use) provides a user-friendly way to browse functional gene annotations and sequence comparisons with reference gene clusters as well as gene clusters predicted in other genomes. Thus, this web server provides the community with a streamlined and user-friendly interface to analyze the metabolic potential of gut microbiomes. |
format | Online Article Text |
id | pubmed-8262752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627522021-07-08 The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota Pascal Andreu, Victòria Roel-Touris, Jorge Dodd, Dylan Fischbach, Michael A Medema, Marnix H Nucleic Acids Res Web Server Issue Anaerobic bacteria from the human microbiome produce a wide array of molecules at high concentrations that can directly or indirectly affect the host. The production of these molecules, mostly derived from their primary metabolism, is frequently encoded in metabolic gene clusters (MGCs). However, despite the importance of microbiome-derived primary metabolites, no tool existed to predict the gene clusters responsible for their production. For this reason, we recently introduced gutSMASH. gutSMASH can predict 41 different known pathways, including MGCs involved in bioenergetics, but also putative ones that are candidates for novel pathway discovery. To make the tool more user-friendly and accessible, we here present the gutSMASH web server, hosted at https://gutsmash.bioinformatics.nl/. The user can either input the GenBank assembly accession or upload a genome file in FASTA or GenBank format. Optionally, the user can enable additional analyses to obtain further insights into the predicted MGCs. An interactive HTML output (viewable online or downloadable for offline use) provides a user-friendly way to browse functional gene annotations and sequence comparisons with reference gene clusters as well as gene clusters predicted in other genomes. Thus, this web server provides the community with a streamlined and user-friendly interface to analyze the metabolic potential of gut microbiomes. Oxford University Press 2021-05-21 /pmc/articles/PMC8262752/ /pubmed/34019648 http://dx.doi.org/10.1093/nar/gkab353 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Pascal Andreu, Victòria Roel-Touris, Jorge Dodd, Dylan Fischbach, Michael A Medema, Marnix H The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title | The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title_full | The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title_fullStr | The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title_full_unstemmed | The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title_short | The gutSMASH web server: automated identification of primary metabolic gene clusters from the gut microbiota |
title_sort | gutsmash web server: automated identification of primary metabolic gene clusters from the gut microbiota |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262752/ https://www.ncbi.nlm.nih.gov/pubmed/34019648 http://dx.doi.org/10.1093/nar/gkab353 |
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