Evidence map›Paper›PMID 28720809›Full record

ArticleScientific reports2017

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

Stefan Braun, Snehit S Mhatre, Marion Jaussi, Hans Røy, Kasper U Kjeldsen, Christof Pearce, Marit-Solveig Seidenkrantz, Bo Barker Jørgensen, Bente Aa Lomstein

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 67 citations in OpenAlex.

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  9. Slow closure of Earth's carbon cycle.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Stefan BraunCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Snehit S MhatreCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Marion JaussiCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Hans RøyCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Kasper U KjeldsenCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Christof PearceCenter for Past Climate Studies, Department of Geoscience, Aarhus University, 8000, Aarhus C, Denmark.ORCID 0000-0002-4866-3204
Marit-Solveig SeidenkrantzCenter for Past Climate Studies, Department of Geoscience, Aarhus University, 8000, Aarhus C, Denmark.ORCID 0000-0002-1973-5969
Bo Barker JørgensenCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark.
Bente Aa LomsteinCenter for Geomicrobiology, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000, Aarhus C, Denmark. bente.lomstein@bios.au.dk.
Aarhus University · DKStockholm University · SE

Funding

European Research Council 294200
6 · The paper itself

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.

Indexed as

Amino AcidsAspartic AcidBacteriaBiomassGeologic SedimentsRNA, Ribosomal, 16SAmino AcidsAspartic AcidRNA, Ribosomal, 16S

Identifiers

PMID28720809
PMCPMC5516024
OpenAlexW2735683807

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.