Interactions Between Macro- and Microorganisms in Marine Sediments

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By mapping ecological features onto a phylogenetic framework, the PIs will identify correlations among ecology, physiology, life history and evolutionary history that help elucidate the mechanisms of speciation under extreme stress.


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The PIs anticipate that dorvilleid polychaetes will ultimately provide a superb metazoan model for integrated extremophile research. Some full text articles may not yet be available without a charge during the embargo administrative interval. Some links on this page may take you to non-federal websites.

Interactions Between Macro- and Microorganisms in Marine Sediments

Their policies may differ from this site. Bertics, V. J, Treude, T. Levin, L. Ziebis, G. Mendoza, V. Growney - Cannon, S. Treude T. Boetius, A.. View record at Web of Science. Ziebis W. Please report errors in award information by writing to: awardsearch nsf. Search Awards. Recent Awards. Each vial also received a 4-mm glass bead and was immediately sealed. Nine vials received the 15 N solution, while nine were left unamended to act as a control. The poisoned slurry samples were subsequently analysed for concentrations of 29 N 2.


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The remaining sediment in each sediment core was sieved through a 1-mm sieve to retrieve deeper burrowing macrofauna individuals. Meiofaunal biomass was calculated according to Olafsson et al. One core per treatment was sacrificed for porosity determination. The sediment cores were sliced at 1-cm intervals and porosity was determined from water content and assuming a dry sediment density of 2. To use dynamic porosity values for interpretations of O 2 concentration profiles, the porosity profiles were fitted with polynomial functions One ml of this solution was transferred to each Exetainer 5.

The Exetainers received additional 3. Stereomicroscope observations showed that the nematodes were killed immediately after the concentrated ZnCl 2 solution was added. Net fluxes of O 2 and CH 4 across the sediment—water interface were calculated from the difference in concentration in the water column at the beginning and end of the incubation period. The concentrations of 29 N 2 and 30 N 2 in the Exetainers were determined by means of headspace analysis on a gas chromatograph-isotope ratio mass spectrometer 9.

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Excess 29 N 2 and 30 N 2 were used to calculate the N 2 production over time 31 , and the denitrification rate D 14 was calculated from the relation:. Analytical precision was 0. DNRA rate was calculated as follows:. The CTRL treatment was not compared with the manipulated treatments. Pairwise post hoc comparisons among treatments were carried out with the Tukey test. Statistical analyses were performed with Statistica 9.

The research was designed by S. All authors contributed to interpreting the data and writing the paper. How to cite this article: Bonaglia S. Meiofauna increases bacterial denitrification in marine sediments. National Center for Biotechnology Information , U. Nature Communications. Nat Commun. Published online Oct Bonaglia , a, 1 F.

A Nascimento , b, 2 M. Bartoli , 3 I. Klawonn , 2 and V. A Nascimento. Author information Article notes Copyright and License information Disclaimer. Received Mar 14; Accepted Sep 2. All Rights Reserved. This work is licensed under a Creative Commons Attribution 4. This article has been cited by other articles in PMC. Abstract Denitrification is a critical process that can alleviate the effects of excessive nitrogen availability in aquatic ecosystems subject to eutrophication.

Results Infauna abundances and community structure This experiment had four main treatments with changing infaunal composition. Table 1 Abundances and biomass of meiofauna. Open in a separate window. Concentration gradients and gas fluxes The average O 2 penetration depth and concentration profiles of O 2 are reported in Table 2 and Fig.

SoMAS - Organic carbon cycling by microbial communities in marine sediments and seawater

Figure 1. Measured oxygen concentration profiles and calculated oxygen consumption profiles. Table 2 Oxygen penetration, oxygen fluxes and diffusivity among treatments. Table 3 Summary of statistical test results. Figure 2. Fluxes of methane in the different treatments.

Figure 3. Rates of denitrification and DNRA in the different treatments. Discussion Our results show that high meiofauna bioturbation Fig.

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Figure 4. Bioturbation by meiofauna. Oxygen profiles and benthic diffusive oxygen flux Oxygen concentration profiles were measured using Clark-type microelectrodes OX, Unisense in two random sediment cores from each treatment and three to five microprofiles were carried out in each core. Author contributions S. Additional information How to cite this article: Bonaglia S. References Cardinale B.

Biodiversity improves water quality through niche partitioning.