Microbial turnover times in the deep seabed studied by amino acid racemization modelling

Abstract 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 measurem...

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Autores principales:	Stefan Braun, Snehit S. Mhatre, Marion Jaussi, Hans Røy, Kasper U. Kjeldsen, Christof Pearce, Marit-Solveig Seidenkrantz, Bo Barker Jørgensen, Bente Aa. Lomstein
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f024039c104847d0a3a0b97f715e21f8
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spelling	oai:doaj.org-article:f024039c104847d0a3a0b97f715e21f82021-12-02T15:05:25ZMicrobial turnover times in the deep seabed studied by amino acid racemization modelling10.1038/s41598-017-05972-z2045-2322https://doaj.org/article/f024039c104847d0a3a0b97f715e21f82017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05972-zhttps://doaj.org/toc/2045-2322Abstract 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.Stefan BraunSnehit S. MhatreMarion JaussiHans RøyKasper U. KjeldsenChristof PearceMarit-Solveig SeidenkrantzBo Barker JørgensenBente Aa. LomsteinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Stefan Braun Snehit S. Mhatre Marion Jaussi Hans Røy Kasper U. Kjeldsen Christof Pearce Marit-Solveig Seidenkrantz Bo Barker Jørgensen Bente Aa. Lomstein Microbial turnover times in the deep seabed studied by amino acid racemization modelling
description	Abstract 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	article
author	Stefan Braun Snehit S. Mhatre Marion Jaussi Hans Røy Kasper U. Kjeldsen Christof Pearce Marit-Solveig Seidenkrantz Bo Barker Jørgensen Bente Aa. Lomstein
author_facet	Stefan Braun Snehit S. Mhatre Marion Jaussi Hans Røy Kasper U. Kjeldsen Christof Pearce Marit-Solveig Seidenkrantz Bo Barker Jørgensen Bente Aa. Lomstein
author_sort	Stefan Braun
title	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_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_sort	microbial turnover times in the deep seabed studied by amino acid racemization modelling
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f024039c104847d0a3a0b97f715e21f8
work_keys_str_mv	AT stefanbraun microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT snehitsmhatre microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT marionjaussi microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT hansrøy microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT kasperukjeldsen microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT christofpearce microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT maritsolveigseidenkrantz microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT bobarkerjørgensen microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling AT benteaalomstein microbialturnovertimesinthedeepseabedstudiedbyaminoacidracemizationmodelling
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Microbial turnover times in the deep seabed studied by amino acid racemization modelling

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