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Applied and Environmental Microbiology, May 2008, p. 3198-3215, Vol. 74, No. 10
0099-2240/08/$08.00+0 doi:10.1128/AEM.01751-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Andreas Kappler,4
Hans Røy,1
Alina Stadnitskaia,5
Jean-Paul Foucher,6 and
Antje Boetius1,2,7*
Max Planck Institute for Marine Microbiology, Bremen, Germany,1 Jacobs University, Bremen, Germany,2 Department of Earth Sciences, Utrecht University, Utrecht, The Netherlands,3 Center for Applied Geosciences, Eberhard Karls University, Tübingen, Germany,4 Royal Netherlands Institute for Sea Research (NIOZ), Texel, The Netherlands,5 Department of Marine Geosciences, IFREMER Centre de Brest, Plouzane Cedex, France,6 Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany7
Received 27 July 2007/ Accepted 29 February 2008
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At mud volcanoes, as well as at many other cold seeps, methane and sometimes higher hydrocarbons are transported upward with rising fluids and muds and can escape into the hydrosphere in the form of gas or oil bubbles (51, 59, 68). Anaerobic hydrocarbon degradation forms the basis of a steep sequence of biogeochemical processes connecting the carbon and sulfur cycles at these sites (1, 69). When hydrocarbons reach the sulfate-penetrated sediment zones, they are utilized by sulfate-reducing bacteria (SRB) as energy and carbon sources. The products of sulfate respiration with methane and higher hydrocarbons are sulfide and bicarbonate (1, 7, 28). Hence, hydrocarbon seepage is generally associated with high sulfide fluxes (59, 81). At methane seeps, most of the sulfide is produced via the anaerobic oxidation of methane (AOM) mediated by anaerobic methanotrophic archaea (ANME) (reference 21 and references therein). However, several oily cold seep systems have been discovered (28, 58), including some in the Eastern Mediterranean (Omoregie et al., submitted), where anaerobic oxidation of higher hydrocarbons coupled to sulfate reduction is the dominant sulfide source.
Sulfide is central to biogeochemical cycling in marine sediments as an energy-rich microbial substrate and the principal product of one of the most quantitatively important respiratory processes in ocean sediments, namely, sulfate reduction (32). Sulfide reacts spontaneously with Fe(III) and Fe(II) (80) and with Mn(II) and Mn(IV) (9) and is used as an electron donor in a variety of aerobic and anaerobic sulfide-oxidizing microorganisms. Well-known marine sulfide-oxidizing organisms include the giant vacuolated Gammaproteobacteria, such as Beggiatoa and Thiomargarita spp., which use oxygen or nitrate for respiration and often form dense mats above hydrocarbon seeps (7, 29, 59, 61). Other types of sulfide-oxidizing bacteria that are mostly known from hydrothermal vent systems but are also found sporadically in cold seep systems belong to the Epsilonproteobacteria (10). Little is known about the nature and functioning of other types of bacteria and archaea which appear to be commonly associated with cold seep ecosystems, such as the crenarchaeotal groups marine benthic group B (MBGB) and MBG1 (35, 36, 52).
Here we report on our investigation of the biogeochemistry and microbial community structure of two types of closely associated bacterial mats. These mats were discovered during a dive with the submersible Nautile (IFREMER) to a brine-impacted cold seep at the bottom of the Chefren mud volcano located in a large caldera of the western Nile Deep Sea Fan (Menes Caldera). Similar types of mats have been seen at hydrothermal vents (16, 74, 77) but to date have not been described in association with cold seeps. In this study we combined microscopic, biogeochemical, and molecular analyses to identify the underlying factors that cause the formation of these two distinct mat systems. This work was part of the ESF EUROCORES EUROMARGIN project MEDIFLUX, which is an integrated study of fluid and gas seepage through the seabed of the Nile Deep Sea Fan.
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FIG. 1. (A) Bathymetric map of the Nile Deep Sea Fan. The circle indicates the position of the Menes Caldera. (Adapted from reference 47 with permission of Geosciences Azur/CIESM.) (B) Bathymetric map of the Menes Caldera with its three mud volcano systems. (C) Bathymetric map of the Chefren mud volcano. "X" indicates the location close to Chefren characterized by orange and white mats, and the circle indicates the location where brine samples were obtained during Nautile dive 18. The maps in panels B and C were obtained during METEOR expedition BIONIL M70/2 in 2006 using the EM120 multibeam.
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FIG. 2. Microbial mat system of the brine-impacted seep at the rim of the Chefren mud volcano. (A) Photograph taken by the submersible Nautile at the site of recovery of the orange and white mats. On the right side, the sediments are populated by sessile worms (arrows) forming tubes from sediment particles. Scale bar = 3 m. (B) Close-up of the mat system. Brine flowed downward (arrows) from the steep rim of the Chefren mud volcano across the white mats. Scale bar = 1 m. (C) Photographs of a core from the white mat. (Left) Black to gray sediment layers below the white mat. (Right) Top of the core. The white mat was composed of cotton ball-like precipitates overlying black fluidic sediments. Scale bar = 3 cm. (Inset) Small motile polychaetes associated with the white mat and the black sediment layer. The red color of the polychaetes indicates elevated hemoglobin levels, a typical adaptation to reduced sediments. Scale bar = 0.5 cm. (D) Photographs of a core from the orange mat. (Left) Greyish sediment layers below the orange mat. (Right) Top of the core. The arrows indicate a sessile worm (top arrows) and the orange fluffy material and flakes overlaying grayish sediments (bottom arrow). Scale bar = 3 cm. (E) Orange precipitates on sediments at the border of the brine lake. Scale bar = 20 cm. (F) Dense white mats floating on top of the large brine lake filling the center of the Chefren mud volcano. Scale bar = 3 m. (Panels A, B, E, and F were taken by the Nautile submersible during the 2003 Nautinil campaign [photos courtesy of Ifremer].)
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Methane oxidation rate determination.
Methane oxidation rates were measured using 14CH4 gas, based on previously described methods (24, 81). Subcores were injected with 10 µl of 14CH4 (2.5 kBq [total radioactivity] dissolved in double-distilled H2O) and incubated for 24 h in the dark at the in situ temperature, 14°C. Following incubation the cores were sectioned and fixed with 2.5% NaOH. Further processing was done as described by Treude et al. (81). AOM rates were determined using the following equation: AOM rate = [14CO2/ (14CO2 + 14CH4)]·[CH4]/V/t, where 14CO2 is the activity of CO2 produced, 14CH4 is the activity of the residual injected 14CH4, [CH4] is the CH4 concentration, V is the sediment volume, and t is time.
SR rate determination.
Sulfate reduction (SR) rates were obtained using 35SO4–2 and previously described methods (27). Subcores were injected with 5 µl 35SO4–2 (100 kBq [total radioactivity] dissolved in double-distilled H2O) and incubated for 24 h at the in situ temperature in the dark. Following incubation, the sediment was sectioned and placed in a polypropylene tube containing 20% zinc acetate. Further processing was done as described by Kallmeyer et al. (30). SR rates were calculated using the following equation: SR rate = [TRI35S/(TRI35S + 35SO4–2)] x [SO4–2]/V/t, where TRI35S is the activity of total reduced inorganic sulfur, 35SO42– is the activity of the residual 35SO4–2 tracer, [SO4–2] is the SO4–2 concentration in the sample, V is the sediment volume, and t is time.
Geochemical measurements.
For sulfide analysis, 10 µl of 0.1 N NaOH was added to 2-ml pore water subsamples. Subsamples were analyzed on board using a TRAACS800 continuous-flow analyzer and colorimetric methods described by Grasshoff et al. (20). Pore water major element analyses were conducted using inductively coupled plasma atomic emission spectroscopy; 2-ml subsamples were acidified by adding 100 µl of suprapur HNO3 (1 M), bubbled to remove sulfide, and stored in the dark at 4°C. Sulfate concentrations were measured by analyzing S. The standard deviation for all measurements was <3%. The geochemical composition of the solid phase was also determined by inductively coupled plasma atomic emission spectroscopy after total dissolution of sediments in an acid mixture containing HClO4, HNO3, and HF (64). The organic carbon content was determined using the method described by van Santvoort et al. (85). International and in-house standards and duplicates were processed to monitor precision and accuracy. Note that very little pore water was recovered from the 7- to 9-cm sample from the orange mat; therefore, a high error is likely associated with values for this sample.
Light and epifluorescence microscopy.
Sediment sections were preserved in 2% formalin and artificial seawater for acridine orange (AO) staining, as well as for light microscopy. Samples for fluorescence in situ hybridization (FISH) were initially fixed in a 2% formalin-seawater solution, washed several times with phosphate-buffered saline, and finally stored in a phosphate-buffered saline-ethanol solution (1:1). Specific groups of Bacteria and Archaea were quantified using catalyzed reporter deposition FISH (CARD-FISH); the exceptions were ANME-2 and aerobic methanotrophic bacteria (M
705 probe) (15), for which monolabeled FISH probes were used because no results were obtained with CARD-FISH probes. AO staining (6), FISH (73), and CARD-FISH (23) were all performed using previously described methods. All FISH and CARD-FISH slides were counterstained with 4',6'-diamidino-2-phenylindole (DAPI). At least 30 grids were counted randomly for each slide for AO, FISH, and CARD-FISH counts. Probe hybridization details are given in Table 1. Cell numbers for conspicuous ANME-SRB aggregates were estimated using a semidirect method (7). All aggregates and cells were assumed to be spherical. The average cell volume was estimated to be 0.065 µm3. The volume of an average aggregate (82 µm3) was divided by the cell volume, and a ratio of archaeal cells to bacterial cells of 1:1 was used to calculate bacterial and archaeal cell numbers in the consortium.
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TABLE 1. Oligonucleotide probes and hybridization conditions used in this study
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16S rRNA gene construction and phylogenetic analysis.
Sectioned sediment samples were frozen at –20°C until processing. Archaeal and bacterial 16S rRNA gene libraries were created as described by Niemann et al. (58). Briefly, total community DNA was extracted from sediment sections and orange flakes using a FastDNA spin kit for soil (Q-Biogene, Irvine, CA). Total DNA was extracted from formalin-preserved white granules using Chelex-100 resin. Granules were boiled at 100°C in the presence of Chelex-100 resin, the beads were allowed to settle, and the supernatant was used for PCR. The 16S rRNA gene was amplified from archaea using primers ARCH20F (49) and Uni1392R (38) and from bacteria using primers GM3F (53) and GM4R (31). Amplification products were cloned, and the purified plasmid was sequenced using an ABI 3100 genetic analyzer. Plasmids were sequenced initially in one direction (approximately 0.6 kb). Sequences were manually inspected, and poor-quality sequences were removed from further analysis. Sequences were also screened for chimeras using the Mallard program (4). Anomalous sequences were then further investigated using BLAST and the Pintail program (3). Sequences with genuine chimeras were then excluded from further analyses. Selected clones were then sequenced fully (approximately 1.5 kb) and used for subsequent phylogenetic analysis with the ARB (44) software package. Statistical analysis of 16S rRNA gene libraries was performed using the s-libshuff program by Schloss et al. (70). Distance matrices calculated with ARB using the neighbor-joining tool were used for s-libshuff.
Fluid flow models.
Mass transfer models including fluid flow and molecular diffusion were created using the Comsol-Multiphysics modeling suite and were calibrated against the measured Cl– concentration. As Cl– can be considered nonreactive, the mass balance is governed by diffusion and advection according to the following equation: 0 =
·Ds·d2C/dz2 – v
dC/dz, where C is the pore water Cl– concentration, z is the vertical distance,
is the porosity, Ds is the diffusion coefficient for Cl– in the pore space, and v is the vertical velocity.
Diffusion coefficients were corrected for tortuosity using the interpolated porosity at each depth and the procedure of Iversen and Jørgensen (25). The concentrations at the surface were set to the Cl– concentration measured in the bottom water of the push cores, and the concentration at the lower boundary of the modeled regimen (1 m) was set to the concentration measured below 15 cm (below the white mat) or 17 cm (below the orange mat) in both cores. This left the pore water flow as the only unknown, which could be estimated by numerically finding the best fit to the measured Cl– profiles. Each steady-state calculation was followed by 10 h of stagnation to include the time that the sediment was contained in the core liner before sectioning.
Nucleotide sequence accession numbers.
Sequences determined in this study have been deposited in the GenBank database under accession numbers EF687138 to EF687656 and EF688595.
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We followed the orange and white mat structure to the southwest along the same depth contour for about 50 m. Irregular patches of orange mat occurred within a band that was about 2 m wide and also in association with the edge of the brine lake in the center of the Chefren mud volcano (Fig. 2E). When using the manipulator arm of Nautile to dig into the orange patches, we observed that the subsurface sediments were dark gray to blackish, while the surrounding seafloor was light brown-beige, typical of pelagic sediments in the deep Eastern Mediterranean. No trace of gas ebullition was observed upon disturbance of the seafloor. Wide areas of the brine lakes located at the top of the Chefren and Cheops mud volcanoes were covered with white mats (Fig. 2F) similar to those observed on the sediments.
Microscopy.
Examination of the granules recovered from the surface of the white mat (Fig. 3A) revealed the presence of tufts of thin filaments (Fig. 3B) morphologically similar to those produced by the epsilonproteobacterium "Candidatus Arcobacter sulfidicus" (77, 78). SEM coupled to EDX analysis revealed that these tufts were characterized by large amounts of Fe and S (Fig. 3C). Framboidal pyrite grains (not shown) were also detected within these granules. FISH with probe Arc94 (Fig. 3D), which targets "Ca. Arcobacter sulfidicus" and related species, indicated that this group of organisms constituted up to 24% of the total cells within the white granules and in the underlying black sediment (Table 2). However, several morphologies (e.g., filamentous and coccoid) of cells which hybridized with the probe were observed, some of which were not the typical crescent-shaped "Ca. Arcobacter sulfidicus" cells.
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FIG. 3. (A) Dissecting microscope image of an S aggregate from the white mat. Scale bar = 1 mm. (B) Phase-contrast image of S filaments from the white mat. Scale bar = 10 µm. (C) High-resolution SEM image of filaments and associated cells from the white mat. (D) FISH image showing Arc94-targeted cells (green). (E) Image of Fe oxide flakes from the orange mat. Scale bar = 1 mm. (F) Light microscope image of an orange flake. (G) High-resolution SEM image of damaged sheaths from a flake. The arrows indicate two distinct types of sheathed bacteria (bacteria are not visible, but their sheaths are). (H) FISH image showing M 705-targeted sheaths. The arrows indicate two distinct types of sheathed bacteria similar to C. fusca (arrow 1) and C. polyspora (arrow 2). (B to D and F to H) Scale bars = 10 µm. Cores NL18PC3(5) and NL18PC1(8) were used for microscopy.
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TABLE 2. FISH counts for the white and orange mats, as well the underlying sedimentsa
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705 probe (Fig. 3H) for type I methanotrophs but not by domain-specific probes for Alpha-, Beta-, and Gammaproteobacteria. Two morphotypes of sheathed bacteria were targeted by the M
705 probe, one with rectangular cells similar to Clonothrix fusca cells (87) and the other with square cells similar to Crenothrix polyspora cells (75). These two morphotypes often appeared to be bundled together.
Fluid flow model.
The orange mats had a shallow Cl– gradient indicative of relatively low fluid flow. Hence, the 10-h stagnation of the flow in the core liners before processing had little effect on the shape of the profile, and the upward fluid flow velocity could be calculated with good accuracy and was 0.6 m per annum (a–1) (Fig. 4B). The white mats were associated with a much steeper Cl– gradient, indicating higher fluid flow velocities. The relaxation of the gradient during the 10-h recovery caused the maximum velocity to be uncertain, but the minimum upward fluid flow under the white mat was estimated to be 15 m a–1 (Fig. 4A).
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FIG. 4. Cl– profiles from fluid flow models. (A) Measured Cl– profile from underneath the white mats (circles), modeled Cl– profile at a constant flow of 15 m·a–1 (straight line), and modeled Cl– profile after 10 h with a fluid flow velocity of zero (dashed line). (B) Measured Cl– profile from underneath the orange mats (circles), modeled Cl– profile at a constant flow of 0.6 m·a–1 (straight line), and modeled Cl– profile after 10 h with a fluid flow velocity of zero (dashed line).
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TABLE 3. Pore water and solid-phase geochemical profiles of the white and orange mats, as well as the underlying sediments
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FIG. 5. (A) Replicate SR rates (circles) and sulfate concentrations underneath the white mats. (B) Replicate rates of methane oxidation (circles) and methane concentrations underneath the white mats. (C) Fe(II) (open circles) and HS– (filled circles) concentrations underneath the white mats. (D) Sedimentological description of the sediment underneath the white mats. (E) Replicate SR rates (circles) and sulfate concentrations underneath the orange mats. (F) Replicate methane oxidation rates (circles) and methane concentrations underneath the orange mats. (G) Fe(II) (open circles) and HS– (filled circles) concentrations underneath the orange mats. (H) Sedimentological description of the sediment underneath the orange mats.
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The organic carbon contents (Table 3) in both cores were low (0.18 to 0.77%), which is typical for oligotrophic Eastern Mediterranean deep-sea sediments, indicating that the energy source for microbial reactions was not detritus based.
CARD-FISH and FISH counts.
The total cell numbers (Table 2) for both cores were around 109 cells·cm–3 in the upper 10 cm. In the white mat and its underlying sediment, the total cell numbers decreased to 108 cells·cm–3 below 10 cm, whereas below the orange mat the total cell numbers were more or less stable for the first 18 cm of sediment. Archaeal cells accounted for less than 3% of the total cells in both mats but generally accounted for 12 to 38% of the total cells in the underlying sediments. In accordance with the biogeochemistry of the cores, ANME were detected in the top 6 cm of both cores (Table 2 and Fig. 6A and C). ANME-2 cells formed consortia with SRB belonging to the Desulfosarcina/Desulfococcus cluster (Fig. 6A). Free-living ANME-2 cells were not detected in the sediments. In contrast, the ANME-3 cells were all single cells and comprised 6 to 27% of the total cells in the 6- to 10-cm zone under the white mat and 7% of the total cells in the 8- to 12-cm zone under the orange mat (Table 2 and Fig. 6B).
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FIG. 6. (A) Double hybridization using FISH probes ANME2-538 (red) and DSS658 (green). (B) ANME3-1249-targeted cells. (C) DSS658-targeted cells. (D) M 705-targeted single cells. Bars = 10 µm. Cores NL18PC3(5) and NL18PC1(8) were used for microscopy.
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Arc94-targeted cells made up 5 to 24% of the white mat and the top 4 cm of the underlying sediment (Table 2 and Fig. 3D). These cells comprised 4% of the total cells within the orange mat and <1% of the total cells in the underlying sediment. Type I methanotrophs targeted by M
705 (Table 2 and Fig. 3H) comprised <1% of the cells in the white mat and in the sediment but 2 to 8% of the cells in the orange mat and the 2-cm interval beneath it.
16 rRNA gene analyses.
16S rRNA gene libraries for bacteria were constructed for both mats and the top 4 cm of sediment beneath the mats, whereas archaeal libraries were constructed only for the sediments. The phylotypes identified in the bacterial libraries for the mats, as well as for the underlying sediment, were very diverse and corresponded to microorganisms capable of many types of C, Fe, N, O, and S transformations. The Deltaproteobacteria represented the largest group of sequences in all of the libraries except those for the orange mat (Table 4 and Fig. 7). Most of these sequences were closely related to sequences of the Desulfobacteraceae and Desulfobulbaceae SRB clades. Sequences belonging to relatives of the Desulfuromonadaceae were recovered from the sediments underneath the orange mat, as well as from the white mat (Table 4 and Fig. 7). Members of this family are capable of Fe(III) and S reduction (42, 66).
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TABLE 4. Breakdown of 16S rRNA gene sequence groups, expressed as percentages obtained from the white and orange mats as well as the top 4 cm of sediment beneath the mats
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FIG. 7. Maximum parsimony tree of 16S rRNA gene sequences from Deltaproteobacteria obtained in this study, as well as from the GenBank database. The names in brackets are those of well-known cold seeps and hydrothermal vents. The bootstrap values at the nodes are percentages based on 500 replicates. Sequences obtained in this study are indicated by bold type, and the numbers in parentheses indicate the numbers of sequences with 98% identity to the relevant sequences from the white mat, the sediment underlying the white mat, the orange mat, and the sediment underlying the orange mat. Only selected sequences are displayed. Sequences that are targeted by the DSS658 and 660 probes are indicated.
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FIG. 8. Maximum parsimony tree of 16S rRNA gene sequences from Gamma-, Beta-, and Epsilonproteobacteria and unidentified sequences obtained in this study, as well as from the GenBank database. The bootstrap values at the nodes are percentages based on 500 replicates. The names in brackets are those of well-known cold seeps and hydrothermal vents. Sequences from this study are indicated by bold type, and the numbers in parentheses indicate the numbers of sequences with 98% identity to the relevant sequences from the white mat, the sediment underlying the white mat, the orange mat, and the sediment underlying the orange mat. Only selected sequences are displayed. Sequences that are targeted by Arc94 and M 705 are indicated.
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FIG. 9. Maximum parsimony tree of 16S rRNA gene sequences from Archaea obtained in this study, as well as from the GenBank database. The names in brackets are those of well-known cold seeps and hydrothermal vents. The bootstrap values at the nodes are percentages based on 500 replicates. Sequences from this study are indicated by bold type, and the numbers in parentheses indicate the numbers of sequences with 98% identity to the relevant sequences from the white mat, the sediment underlying the white mat, the orange mat, and the sediment underlying the orange mat. Only selected sequences are displayed. The sequence with accession number DQ369741 was excluded from the bootstrap analysis and added to the tree using the parsimony tool in ARB. Sequences that are targeted by ANME-1-350, ANME-2-538, and ANME-3-1249 are indicated.
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Generally, at cold seeps, sites with high sulfide fluxes across the seafloor are marked by mat-forming bacteria, which oxidize sulfide to sulfur or sulfate, using oxygen or nitrate as the electron acceptor. The cells are often mobile and hence can bridge the gap between sulfide and oxygen penetration in the sediments. The giant vacuolated sulfide oxidizers store elemental sulfur internally, which gives the mats a characteristic white color (29, 56, 61). Mats formed by giant vacuolated sulfide oxidizers typically appear to be smooth (59), furry (attached vacuolated filamentous cells) (61), or crusty (e.g., Thiomargarita spp. cold seep mats [29]). The mats described here have a different appearance both macroscopically (cotton ball structure) and microscopically (external sulfur storage).
To our knowledge, orange mats have not been described previously for marine cold seeps, but similar mats are have been found in a few hydrothermal vent settings (16, 34, 74) and at groundwater Fe(II) seeps (17). At these sites, the mats are thought to be created by Fe(II)-oxidizing Beta- or Gammaproteobacteria belonging to the genera Gallionella, Leptothrix, and Marinobacter, as well as the gammaproteobacterial strain PV-1. Both the orange and white mats investigated here appear to represent important communities at brine-impacted cold seeps of the Eastern Mediterranean and were commonly observed floating on the brine (white mats [Fig. 2F]) or at the edge of brine lakes (orange mats [Fig. 2E]).
Composition of the white mats and orange mats.
The granules recovered from the white mat were composed of elemental S filaments, as shown by light microscopy, SEM, and EDX analysis (Fig. 3). These filaments were most likely produced by chemoautotrophic sulfide-oxidizing organisms related to "Ca. Arcobacter sulfidicus," as indicated by 16S rRNA gene analysis and FISH, which showed that up to 24% of the cells within the mat were cells of close relatives of this organism. "Ca. Arcobacter sulfidicus" secretes long S filaments as a by-product of sulfide oxidation (72), forming dense accumulations of elemental S in hydrothermal vent settings (72) and in laboratory bioreactors (77). "Ca. Arcobacter sulfidicus" has also been detected in cold seep settings (65). These environments are typically sulfidic, high-fluid-flow environments where sulfide and oxygen gradients overlap due to advective processes.
Sequences closely related to sequences of Desulfocapsa sulfoexigens, which is capable of S disproportionation into sulfide, sulfate, and H+ (19), represented another significant portion of the sequences from the white mat. The activities of these organisms within this mat would likely enhance S cycling as they would consume S, as well as provide additional sulfide.
The flakes that made up the orange mat were composed of Fe(III) (hydr)oxide-encrusted sheaths (Fig. 3F and G) similar to those produced by the neutrophilic Fe(II)-oxidizing betaproteobacterium L. ochracea (86). Such sheaths have been shown to be encrusted with Fe(III) (hydr)oxides (33, 74) and were identified in several hydrothermal vent settings (16, 34, 74). The metabolism of L. ochracea is unclear as this species has not been obtained in pure culture. However, L. ochracea is generally considered a heterotroph and is often found in organic matter-rich environments. It is unlikely that the low organic carbon content of the Chefren sediments provides energy to heterotrophic mat-forming iron oxidizers (Table 3). Hence, we speculate that the organisms responsible for mat formation are unknown chemoautotrophs, which obtain energy from aerobic Fe(II) oxidation utilizing the high flux of upwardly flowing, Fe(II)-rich pore water.
Fe(II)-oxidizing bacteria are thought to form Fe oxide-encrusted sheaths in order to locate the electron transfer process close to the cell, as well as provide a means for the cell to escape encrustation by Fe(III) (hydr)oxides. The energetic yield of this process is very low; therefore, large amounts of Fe(II) need to be turned over in order to provide enough energy for growth, leading to large amounts of Fe(III) (hydr)oxide but very few cells (16). Neutrophilic Fe(II) oxidation, although it occurs in a variety of environments, such as hydrothermal vents (16), freshwater springs (26), and plant root nodules (18), remains somewhat enigmatic, as under these conditions Fe(II) spontaneously oxidizes to Fe(III). However, neutrophilic Fe(II)-oxidizing bacteria have been shown to increase Fe oxidation rates to values that are up to fourfold greater than abiotic rates (26, 57). The exact mechanism of this process is currently unknown, but it has been suggested that it occurs through the binding and sequestration of Fe(II) by bacterial exopolymers (57).
It is possible that the M
705-targeted sheaths and related 16S rRNA gene sequences obtained from the orange mat corresponded to organisms similar to C. polyspora and C. fusca (87). They often occur bundled together, as observed in this study. Whether these organisms can oxidize Fe(II) in addition to methane remains unclear, as they have only recently been cultivated. However, they are often found in environments where Fe(II) and methane cooccur, such as groundwater springs. Additionally, there have been several reports of C. polyspora sheaths incrusted in Fe(III) (hydr)oxides (79, 88). No 16S rRNA gene sequences recovered from the orange mat were similar to sequences of known Fe(II)-oxidizing species (e.g., sheath-forming Leptothrix spp., stalk-forming Gallionella spp., PV-1, and other organisms).
In contrast, the orange mat contained many 16S rRNA gene sequences from bacteria that may constitute the reductive portion of the Fe cycle. Interestingly, sequences that grouped with Sulfurospirillum deleyianum, which is capable of Fe(III) reduction via S cycling, were detected within this mat (76). The presence of an active group of such microorganisms could couple and enhance S and Fe cycling by oxidizing S compounds with Fe(III). Additionally, enrichments (Straub et al., unpublished) using sediment from underneath the white mat with ferrihydrite as the sole electron acceptor resulted in high numbers of "Ca. Arcobacter sulfidicus" sequences in the 16S rRNA gene libraries, suggesting that these organisms have a role in Fe(III) reduction.
Biogeochemical processes supporting white and orange microbial mat formation.
Spatial heterogeneity in fluid flow on scales of meters to kilometers has been observed in several cold seep systems (45, 67). Here we observed large variations in fluid flow (Fig. 4) through microbial mats on scales of centimeters to meters associated with brine seepage. Brine seepage is a common feature of mud volcanoes in the Eastern Mediterranean Ridge (90, 91) and western province of the Nile Deep Sea Fan (Huguen et al., submitted). The brines often comigrate with hydrocarbons and sulfides (12, 84). Fluids from the brine pool at Chefren had high methane (2.4 mM) and sulfide (7.2 mM) concentrations, a salinity of 150
, and sulfate concentrations of around 50 mM (J.-C. Caprais, personal communication). Unfortunately, we could not sample the brine flowing from black exposed sediments to the white mats (Fig. 2B), but it is likely that sulfide was present in the brine, which precipitated Fe(II). The brine flow across the white mat likely impeded the exchange with oxygenated water from the water column, providing a microaerophilic environment for sulfide oxidation. Although the Cl– and Na+ profiles indicated that there was upward fluid flow, the possibility of multidirectional (i.e., lateral and downward) advection cannot be ruled out.
Sulfide underneath the white mat was clearly provided by SR rather than by upward transport with brine (Fig. 5). Furthermore, the distribution of DSS658-targeted cells matched the sulfide profile, as these cells accounted for a maximum of 24% of the total cells between 0 and 6 cm (Table 2). Although our sampling resolution did not allow precise determination of the limits of sulfide penetration, the rapid sulfide consumption at the fluidic top of the core was likely due to the activity of "Ca. Arcobacter sulfidicus" and other sulfide oxidizers. This environment is similar to high-fluid-flow environments (72, 77), where sulfide and oxygen overlap due to advective processes, and is likely to be a niche for "Ca. Arcobacter sulfidicus" rather than for the giant vacuolated sulfide-oxidizing bacteria.
Similar to the biogeochemistry of the white mat, the SR rates under the orange mat were significantly higher than the AOM rates (Fig. 5). SRB cells accounted for 7 to 19% of the total cells under the orange mat. The maximum SR activity occurred at roughly 4 to 10 cm, which corresponded to the zone where there were increased amounts of solid-phase Fe and S (Fig. 5). Sulfide produced in this subsurface zone likely caused the precipitation of Fe and S complexes, similar to the situation in the sediment horizon directly under the white mat. No free sulfide was detected within this core; therefore, it is likely that the entire sulfide production went into the reduction of Fe(III) and precipitation of Fe(II). The source of the very high free Fe(II) concentration under the orange mat remains unknown; in situ microbial Fe(III) reduction and upward flow of Fe-rich subsurface fluids are plausible possibilities.
Bacterial community composition.
As predicted from the markedly different biogeochemistries, significant differences (P value of < 0.01) were detected in comparisons of bacterial 16S rRNA gene libraries obtained in this study between the two mats, as well as between the mats and their underlying sediments. The importance of SR was reflected by the high percentage of sequences (Table 4) belonging to members of the Deltaproteobacteria in both sediment libraries (31 to 42% [Table 4]). As expected, these sequences grouped with sequences from genera of known sulfate reducers (Fig. 7) present at cold seeps, such as Desulfobacter, Desulfosarcina, Desulfocapsa, and Desulfobulbus (35) Some members of these genera are also capable of iron reduction (43), which occurred within the orange mat and in the underlying sediment. Sequences from members of the Gammaproteobacteria which are able to perform Fe(II) oxidation, sulfide oxidation, or methane oxidation were very prevalent in the libraries (8 to 74%). Most of these organisms grouped with aerobic type I methanotrophs, such as M. marinus, C. polyspora, and C. fusca (Fig. 8), as well as with environmental sequences from methane-rich sediments and symbionts in the gills of methanotrophic clams. Cultivated members of this group primarily oxidize methane with oxygen, but they are also capable of oxidizing other C-1 compounds. As methane occurred at the top of both cores and was present in the water column, the sediment surface and especially the more oxidized orange mats represent potential niches for aerobic methanotrophy.
The high numbers of sequences of sulfur-oxidizing Epsilonproteobacteria (Fig. 8) in the white mat are consistent with the visual and biogeochemical data.
Archaeal community composition.
Fifty-five to 74% of the archaeal sequences (Table 4) recovered from sediments underlying the orange and white mats belonged to the ANME-2 and ANME-3 clusters (Fig. 9). The quantitative distributions of these sequences differed between the sediments underlying the mats, and they overlapped only in one horizon (4 to 6 cm) under the white mat (Tab 3). In contrast, most other cold seeps typically contain a mixture of ANME communities and there is a clear dominance of one community (36). The Chefren seep represents the second known cold seep habitat characterized by a relatively high abundance of ANME-3 cells (59). However, none of the ANME-3 cells that were detected were associated with bacterial partners. The remaining archaeal sequences comprised members of two marine benthic groups (MBGB and MBGD) which are typical members of cold seep and subsurface communities (22, 36). However, no members of these two groups have been cultivated; therefore, their roles in the sediments of Chefren and elsewhere remain unknown. A comparison of the coverage of archaeal sequences from sediments underneath the white mat to the coverage of archaeal sequences from sediments underneath the orange mat revealed a statistical difference (P value of < 0.01), indicating a different community structure. The reciprocal test showed that the sediment community under the orange mat was not significantly different from that under the white mat (P value of > 0.05); rather, it may have represented a subset of the white mat community. It is possible that the archaeal communities were more similar to each other than to the bacterial community in the sediments because they were largely comprised of methanotrophs, which could be less affected by the differences in sulfide and iron biogeochemistry.
Comparison to other cold seep ecosystems.
While the fluid flow velocities and SR rates were similar to those in previously investigated cold seep systems, the associated AOM rates were comparatively low (58, 59, 81, 83; Omoregie et al., submitted). The ratio of the SR rate to the methane oxidation rate (>28:1) differed substantially from the known stoichiometry of AOM to SR (1:1) (54). Hence, the sulfate-reducing community apparently utilized compounds other than methane or organic detritus (Table 3). High rates of SR that are severalfold greater than AOM rates are generally associated with seepage of higher hydrocarbons and petroleum (28, 39, 58, 63; Omoregie et al., submitted). Besides methane, higher hydrocarbon compounds have been detected within the pore waters of Chefren and in the overlying water column and may fuel SR and Fe(III) reduction (V. Mastalerz, unpublished data). Also, ANME-2 cells (Table 2) accounted for only 8 to 25% of the total cells in this zone, and ANME-3 cells accounted for only 6 to 27% of the total cells. These values, as well as the total cell numbers (<109 cells cm–3), are lower than the values for other sites where AOM is the dominant biogeochemical process. Sites such as Hydrate Ridge, the Black Sea, and the Haakon Mosby mud volcano typically have ANME cell levels of >109 cells cm–3, and these cells were found to comprise >90% of the total cells (7, 35).
Conclusion.
This study elucidated some of the dominant microorganisms and processes involved in the formation of Fe(II)-oxidizing and sulfide-oxidizing mats at an active cold seep. Previously, these types of mats have been described only for hydrothermal vent settings, where sulfide and reduced iron were produced by seawater-rock interactions and advected by venting. Our findings suggest that such mats could also be fueled by microbial SR based on anaerobic hydrocarbon degradation maintained by relatively high fluid flow. Several questions still remain, such as the actual substrates fueling SR, the rates of microbial oxidation versus chemical Fe(II) and sulfide oxidation, the spatial relationship between the organisms that carry out these processes, and the ultimate fate of the end products [i.e., elemental S and Fe(III) (hydr)oxide)].
The work of A.K. was supported by an Emmy-Noether fellowship from the German Research Foundation (DFG). The work of E.O.O. and A.B. in the ESF EUROCORES MEDIFLUX was financially supported by ESF, DFG, and the Max Planck Society.
Published ahead of print on 31 March 2008. ![]()
Present address: Department of Biogeochemistry, Vienna University, Vienna, Austria. ![]()
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-proteobacterium. Appl. Environ. Microbiol. 73:3556-3565.This article has been cited by other articles:
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