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TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy
Microbial taxonomy is increasingly influenced by genome-based computational methods. Yet such analyses can be complex and require expert knowledge. Here we introduce TYGS, the Type (Strain) Genome Server, a user-friendly high-throughput web server for genome-based prokaryote taxonomy, connected to a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522516/ https://www.ncbi.nlm.nih.gov/pubmed/31097708 http://dx.doi.org/10.1038/s41467-019-10210-3 |
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author | Meier-Kolthoff, Jan P. Göker, Markus |
author_facet | Meier-Kolthoff, Jan P. Göker, Markus |
author_sort | Meier-Kolthoff, Jan P. |
collection | PubMed |
description | Microbial taxonomy is increasingly influenced by genome-based computational methods. Yet such analyses can be complex and require expert knowledge. Here we introduce TYGS, the Type (Strain) Genome Server, a user-friendly high-throughput web server for genome-based prokaryote taxonomy, connected to a large, continuously growing database of genomic, taxonomic and nomenclatural information. It infers genome-scale phylogenies and state-of-the-art estimates for species and subspecies boundaries from user-defined and automatically determined closest type genome sequences. TYGS also provides comprehensive access to nomenclature, synonymy and associated taxonomic literature. Clinically important examples demonstrate how TYGS can yield new insights into microbial classification, such as evidence for a species-level separation of previously proposed subspecies of Salmonella enterica. TYGS is an integrated approach for the classification of microbes that unlocks novel scientific approaches to microbiologists worldwide and is particularly helpful for the rapidly expanding field of genome-based taxonomic descriptions of new genera, species or subspecies. |
format | Online Article Text |
id | pubmed-6522516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65225162019-05-20 TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy Meier-Kolthoff, Jan P. Göker, Markus Nat Commun Article Microbial taxonomy is increasingly influenced by genome-based computational methods. Yet such analyses can be complex and require expert knowledge. Here we introduce TYGS, the Type (Strain) Genome Server, a user-friendly high-throughput web server for genome-based prokaryote taxonomy, connected to a large, continuously growing database of genomic, taxonomic and nomenclatural information. It infers genome-scale phylogenies and state-of-the-art estimates for species and subspecies boundaries from user-defined and automatically determined closest type genome sequences. TYGS also provides comprehensive access to nomenclature, synonymy and associated taxonomic literature. Clinically important examples demonstrate how TYGS can yield new insights into microbial classification, such as evidence for a species-level separation of previously proposed subspecies of Salmonella enterica. TYGS is an integrated approach for the classification of microbes that unlocks novel scientific approaches to microbiologists worldwide and is particularly helpful for the rapidly expanding field of genome-based taxonomic descriptions of new genera, species or subspecies. Nature Publishing Group UK 2019-05-16 /pmc/articles/PMC6522516/ /pubmed/31097708 http://dx.doi.org/10.1038/s41467-019-10210-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Meier-Kolthoff, Jan P. Göker, Markus TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title | TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title_full | TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title_fullStr | TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title_full_unstemmed | TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title_short | TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
title_sort | tygs is an automated high-throughput platform for state-of-the-art genome-based taxonomy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522516/ https://www.ncbi.nlm.nih.gov/pubmed/31097708 http://dx.doi.org/10.1038/s41467-019-10210-3 |
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