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Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations

Microorganisms in the terrestrial deep biosphere host up to 20% of the earth's biomass and are suggested to be sustained by the gases hydrogen and carbon dioxide. A metagenome analysis of three deep subsurface water types of contrasting age (from <20 to several thousand years) and depth (171...

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Autores principales: Wu, Xiaofen, Holmfeldt, Karin, Hubalek, Valerie, Lundin, Daniel, Åström, Mats, Bertilsson, Stefan, Dopson, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029217/
https://www.ncbi.nlm.nih.gov/pubmed/26484735
http://dx.doi.org/10.1038/ismej.2015.185
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author Wu, Xiaofen
Holmfeldt, Karin
Hubalek, Valerie
Lundin, Daniel
Åström, Mats
Bertilsson, Stefan
Dopson, Mark
author_facet Wu, Xiaofen
Holmfeldt, Karin
Hubalek, Valerie
Lundin, Daniel
Åström, Mats
Bertilsson, Stefan
Dopson, Mark
author_sort Wu, Xiaofen
collection PubMed
description Microorganisms in the terrestrial deep biosphere host up to 20% of the earth's biomass and are suggested to be sustained by the gases hydrogen and carbon dioxide. A metagenome analysis of three deep subsurface water types of contrasting age (from <20 to several thousand years) and depth (171 to 448 m) revealed phylogenetically distinct microbial community subsets that either passed or were retained by a 0.22 μm filter. Such cells of <0.22 μm would have been overlooked in previous studies relying on membrane capture. Metagenomes from the three water types were used for reconstruction of 69 distinct microbial genomes, each with >86% coverage. The populations were dominated by Proteobacteria, Candidate divisions, unclassified archaea and unclassified bacteria. The estimated genome sizes of the <0.22 μm populations were generally smaller than their phylogenetically closest relatives, suggesting that small dimensions along with a reduced genome size may be adaptations to oligotrophy. Shallow ‘modern marine' water showed community members with a predominantly heterotrophic lifestyle. In contrast, the deeper, ‘old saline' water adhered more closely to the current paradigm of a hydrogen-driven deep biosphere. The data were finally used to create a combined metabolic model of the deep terrestrial biosphere microbial community.
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spelling pubmed-50292172016-09-21 Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations Wu, Xiaofen Holmfeldt, Karin Hubalek, Valerie Lundin, Daniel Åström, Mats Bertilsson, Stefan Dopson, Mark ISME J Original Article Microorganisms in the terrestrial deep biosphere host up to 20% of the earth's biomass and are suggested to be sustained by the gases hydrogen and carbon dioxide. A metagenome analysis of three deep subsurface water types of contrasting age (from <20 to several thousand years) and depth (171 to 448 m) revealed phylogenetically distinct microbial community subsets that either passed or were retained by a 0.22 μm filter. Such cells of <0.22 μm would have been overlooked in previous studies relying on membrane capture. Metagenomes from the three water types were used for reconstruction of 69 distinct microbial genomes, each with >86% coverage. The populations were dominated by Proteobacteria, Candidate divisions, unclassified archaea and unclassified bacteria. The estimated genome sizes of the <0.22 μm populations were generally smaller than their phylogenetically closest relatives, suggesting that small dimensions along with a reduced genome size may be adaptations to oligotrophy. Shallow ‘modern marine' water showed community members with a predominantly heterotrophic lifestyle. In contrast, the deeper, ‘old saline' water adhered more closely to the current paradigm of a hydrogen-driven deep biosphere. The data were finally used to create a combined metabolic model of the deep terrestrial biosphere microbial community. Nature Publishing Group 2016-05 2015-10-20 /pmc/articles/PMC5029217/ /pubmed/26484735 http://dx.doi.org/10.1038/ismej.2015.185 Text en Copyright © 2016 International Society for Microbial Ecology http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Original Article
Wu, Xiaofen
Holmfeldt, Karin
Hubalek, Valerie
Lundin, Daniel
Åström, Mats
Bertilsson, Stefan
Dopson, Mark
Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title_full Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title_fullStr Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title_full_unstemmed Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title_short Microbial metagenomes from three aquifers in the Fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
title_sort microbial metagenomes from three aquifers in the fennoscandian shield terrestrial deep biosphere reveal metabolic partitioning among populations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029217/
https://www.ncbi.nlm.nih.gov/pubmed/26484735
http://dx.doi.org/10.1038/ismej.2015.185
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