2018
DOI: 10.3389/fmicb.2018.00967
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D:L-Amino Acid Modeling Reveals Fast Microbial Turnover of Days to Months in the Subsurface Hydrothermal Sediment of Guaymas Basin

Abstract: We investigated the impact of temperature on the microbial turnover of organic matter (OM) in a hydrothermal vent system in Guaymas Basin, by calculating microbial bio- and necromass turnover times based on the culture-independent D:L-amino acid model. Sediments were recovered from two stations near hydrothermal mounds (<74°C) and from one cold station (<9°C). Cell abundance at the two hydrothermal stations dropped from 108 to 106 cells cm-3 within ∼5 m of sediment depth resulting in a 100-fold lower cell numb… Show more

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Cited by 25 publications
(20 citation statements)
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“…Atribacteria," indicating the exponential growth phase (43). Thus, while we do not report measurements of biomass turnover such as amino acid racemization (44,45) or stable isotope probing (4,17), the steadily increasing microbial biomass of "Ca. Atribacteria" with increasing sediment depth together with the detected correlation between their abundance and transcriptional activity ( Fig.…”
Section: Resultsmentioning
confidence: 86%
“…Atribacteria," indicating the exponential growth phase (43). Thus, while we do not report measurements of biomass turnover such as amino acid racemization (44,45) or stable isotope probing (4,17), the steadily increasing microbial biomass of "Ca. Atribacteria" with increasing sediment depth together with the detected correlation between their abundance and transcriptional activity ( Fig.…”
Section: Resultsmentioning
confidence: 86%
“…Atribacteria", indicating exponential growth phase (43). Thus, while we do not report measurements of biomass turnover such as amino acid racemization (44,45) or stable isotope probing (4,17), the steadily increasing microbial biomass of "Ca. Atribacteria" with increasing sediment depth together with the detected correlation between their abundance and transcriptional activity (Fig.…”
Section: Gene Expression Analysismentioning
confidence: 84%
“…These variables affect the power requirements of microbial life, e.g., by increasing rates of biomolecule damage, and consequently also raise the power required by cells to maintain and repair essential biomolecules (Lever et al, 2015). As a result, the presence and abundance of microorganisms within subseafloor habitats varies greatly with location as a result of stark differences in cell-specific power supply and cell-specific power demand (Inagaki et al, 2015; Lever et al, 2015; Møller et al, 2018; Heuer et al, 2019).…”
Section: Introductionmentioning
confidence: 99%