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Microbial turnover times in the deep seabed studied by amino acid racemization modelling
The study of active microbial populations in deep, energy-limited marine sediments has extended our knowledge of the limits of life on Earth. Typically, microbial activity in the deep biosphere is calculated by transport-reaction modelling of pore water solutes or from experimental measurements invo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516024/ https://www.ncbi.nlm.nih.gov/pubmed/28720809 http://dx.doi.org/10.1038/s41598-017-05972-z |
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author | Braun, Stefan Mhatre, Snehit S. Jaussi, Marion Røy, Hans Kjeldsen, Kasper U. Pearce, Christof Seidenkrantz, Marit-Solveig Jørgensen, Bo Barker Lomstein, Bente Aa. |
author_facet | Braun, Stefan Mhatre, Snehit S. Jaussi, Marion Røy, Hans Kjeldsen, Kasper U. Pearce, Christof Seidenkrantz, Marit-Solveig Jørgensen, Bo Barker Lomstein, Bente Aa. |
author_sort | Braun, Stefan |
collection | PubMed |
description | The study of active microbial populations in deep, energy-limited marine sediments has extended our knowledge of the limits of life on Earth. Typically, microbial activity in the deep biosphere is calculated by transport-reaction modelling of pore water solutes or from experimental measurements involving radiotracers. Here we modelled microbial activity from the degree of D:L-aspartic acid racemization in microbial necromass (remains of dead microbial biomass) in sediments up to ten million years old. This recently developed approach (D:L-amino acid modelling) does not require incubation experiments and is highly sensitive in stable, low-activity environments. We applied for the first time newly established constraints on several important input parameters of the D:L-amino acid model, such as a higher aspartic acid racemization rate constant and a lower cell-specific carbon content of sub-seafloor microorganisms. Our model results show that the pool of necromass amino acids is turned over by microbial activity every few thousand years, while the turnover times of vegetative cells are in the order of years to decades. Notably, microbial turnover times in million-year-old sediment from the Peru Margin are up to 100-fold shorter than previous estimates, highlighting the influence of microbial activities on element cycling over geologic time scales. |
format | Online Article Text |
id | pubmed-5516024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55160242017-07-19 Microbial turnover times in the deep seabed studied by amino acid racemization modelling Braun, Stefan Mhatre, Snehit S. Jaussi, Marion Røy, Hans Kjeldsen, Kasper U. Pearce, Christof Seidenkrantz, Marit-Solveig Jørgensen, Bo Barker Lomstein, Bente Aa. Sci Rep Article The study of active microbial populations in deep, energy-limited marine sediments has extended our knowledge of the limits of life on Earth. Typically, microbial activity in the deep biosphere is calculated by transport-reaction modelling of pore water solutes or from experimental measurements involving radiotracers. Here we modelled microbial activity from the degree of D:L-aspartic acid racemization in microbial necromass (remains of dead microbial biomass) in sediments up to ten million years old. This recently developed approach (D:L-amino acid modelling) does not require incubation experiments and is highly sensitive in stable, low-activity environments. We applied for the first time newly established constraints on several important input parameters of the D:L-amino acid model, such as a higher aspartic acid racemization rate constant and a lower cell-specific carbon content of sub-seafloor microorganisms. Our model results show that the pool of necromass amino acids is turned over by microbial activity every few thousand years, while the turnover times of vegetative cells are in the order of years to decades. Notably, microbial turnover times in million-year-old sediment from the Peru Margin are up to 100-fold shorter than previous estimates, highlighting the influence of microbial activities on element cycling over geologic time scales. Nature Publishing Group UK 2017-07-18 /pmc/articles/PMC5516024/ /pubmed/28720809 http://dx.doi.org/10.1038/s41598-017-05972-z Text en © The Author(s) 2017 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 Braun, Stefan Mhatre, Snehit S. Jaussi, Marion Røy, Hans Kjeldsen, Kasper U. Pearce, Christof Seidenkrantz, Marit-Solveig Jørgensen, Bo Barker Lomstein, Bente Aa. Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title | Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title_full | Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title_fullStr | Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title_full_unstemmed | Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title_short | Microbial turnover times in the deep seabed studied by amino acid racemization modelling |
title_sort | microbial turnover times in the deep seabed studied by amino acid racemization modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516024/ https://www.ncbi.nlm.nih.gov/pubmed/28720809 http://dx.doi.org/10.1038/s41598-017-05972-z |
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