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BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea

The Baltic Sea is one of the world’s largest brackish water bodies and is characterised by pronounced physicochemical gradients where microbes are the main biogeochemical catalysts. Meta-omic methods provide rich information on the composition of, and activities within, microbial ecosystems, but are...

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Autores principales: Alneberg, Johannes, Sundh, John, Bennke, Christin, Beier, Sara, Lundin, Daniel, Hugerth, Luisa W., Pinhassi, Jarone, Kisand, Veljo, Riemann, Lasse, Jürgens, Klaus, Labrenz, Matthias, Andersson, Anders F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067050/
https://www.ncbi.nlm.nih.gov/pubmed/30063227
http://dx.doi.org/10.1038/sdata.2018.146
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author Alneberg, Johannes
Sundh, John
Bennke, Christin
Beier, Sara
Lundin, Daniel
Hugerth, Luisa W.
Pinhassi, Jarone
Kisand, Veljo
Riemann, Lasse
Jürgens, Klaus
Labrenz, Matthias
Andersson, Anders F.
author_facet Alneberg, Johannes
Sundh, John
Bennke, Christin
Beier, Sara
Lundin, Daniel
Hugerth, Luisa W.
Pinhassi, Jarone
Kisand, Veljo
Riemann, Lasse
Jürgens, Klaus
Labrenz, Matthias
Andersson, Anders F.
author_sort Alneberg, Johannes
collection PubMed
description The Baltic Sea is one of the world’s largest brackish water bodies and is characterised by pronounced physicochemical gradients where microbes are the main biogeochemical catalysts. Meta-omic methods provide rich information on the composition of, and activities within, microbial ecosystems, but are computationally heavy to perform. We here present the Baltic Sea Reference Metagenome (BARM), complete with annotated genes to facilitate further studies with much less computational effort. The assembly is constructed using 2.6 billion metagenomic reads from 81 water samples, spanning both spatial and temporal dimensions, and contains 6.8 million genes that have been annotated for function and taxonomy. The assembly is useful as a reference, facilitating taxonomic and functional annotation of additional samples by simply mapping their reads against the assembly. This capability is demonstrated by the successful mapping and annotation of 24 external samples. In addition, we present a public web interface, BalticMicrobeDB, for interactive exploratory analysis of the dataset.
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spelling pubmed-60670502018-08-10 BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea Alneberg, Johannes Sundh, John Bennke, Christin Beier, Sara Lundin, Daniel Hugerth, Luisa W. Pinhassi, Jarone Kisand, Veljo Riemann, Lasse Jürgens, Klaus Labrenz, Matthias Andersson, Anders F. Sci Data Data Descriptor The Baltic Sea is one of the world’s largest brackish water bodies and is characterised by pronounced physicochemical gradients where microbes are the main biogeochemical catalysts. Meta-omic methods provide rich information on the composition of, and activities within, microbial ecosystems, but are computationally heavy to perform. We here present the Baltic Sea Reference Metagenome (BARM), complete with annotated genes to facilitate further studies with much less computational effort. The assembly is constructed using 2.6 billion metagenomic reads from 81 water samples, spanning both spatial and temporal dimensions, and contains 6.8 million genes that have been annotated for function and taxonomy. The assembly is useful as a reference, facilitating taxonomic and functional annotation of additional samples by simply mapping their reads against the assembly. This capability is demonstrated by the successful mapping and annotation of 24 external samples. In addition, we present a public web interface, BalticMicrobeDB, for interactive exploratory analysis of the dataset. Nature Publishing Group 2018-07-31 /pmc/articles/PMC6067050/ /pubmed/30063227 http://dx.doi.org/10.1038/sdata.2018.146 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ 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/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Alneberg, Johannes
Sundh, John
Bennke, Christin
Beier, Sara
Lundin, Daniel
Hugerth, Luisa W.
Pinhassi, Jarone
Kisand, Veljo
Riemann, Lasse
Jürgens, Klaus
Labrenz, Matthias
Andersson, Anders F.
BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title_full BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title_fullStr BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title_full_unstemmed BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title_short BARM and BalticMicrobeDB, a reference metagenome and interface to meta-omic data for the Baltic Sea
title_sort barm and balticmicrobedb, a reference metagenome and interface to meta-omic data for the baltic sea
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067050/
https://www.ncbi.nlm.nih.gov/pubmed/30063227
http://dx.doi.org/10.1038/sdata.2018.146
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