Abstract
The saline springs of Gypsum Hill in the Canadian high Arctic are a rare example of cold springs originating from deep groundwater and rising to the surface through thick permafrost. The heterotrophic bacteria and autotrophic sulfur-oxidizing bacteria (up to 40% of the total microbial community) isolated from the spring waters and sediments were classified into four phyla (Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria) based on 16S rRNA gene analysis; heterotrophic isolates were primarily psychrotolerant, salt-tolerant, facultative anaerobes. Some of the isolates contained genes for thiosulfate oxidation (soxB) and anoxygenic photosynthesis (pufM), possibly enabling the strains to better compete in these sulfur-rich environments subject to long periods of illumination in the Arctic summer. Although leucine uptake by the spring water microbial community was low, CO2 uptake was relatively high under dark incubation, reinforcing the idea that primary production by chemoautotrophs is an important process in the springs. The small amounts of hydrocarbons in gases exsolving from the springs (0.38 to 0.51% CH4) were compositionally and isotopically consistent with microbial methanogenesis and possible methanotrophy. Anaerobic heterotrophic sulfur oxidation and aerobic autotrophic sulfur oxidation activities were demonstrated in sediment slurries. Overall, our results describe an active microbial community capable of sustainability in an extreme environment that experiences prolonged periods of continuous light or darkness, low temperatures, and moderate salinity, where life seems to rely on chemolithoautotrophy.
Perennial springs are extremely rare in areas underlain by deep, continuous permafrost, because of the limited opportunity for exchange between sub- and suprapermafrost groundwater systems. The perennial springs found at Gypsum Hill (GH) on west-central Axel Heiberg Island in the Canadian high Arctic originate from deep saline groundwater and rise to the surface through ∼600-m-thick continuous permafrost in a region with a mean annual temperature of −15°C (38). They discharge oligotrophic brines (7.5 to 7.9% salt) that are rich in inorganic sulfur compounds, saturated with dissolved gasses (primarily N2), and maintain a constant temperature (−1.3°C to 6.9°C) throughout the year despite air temperatures that drop below −40°C during the winter (36, 38). The springs' location at nearly 80oN exposes them to long periods of continuous illumination or total darkness during the Arctic summer and winter, respectively.
Recent reports have examined mesophilic (15) and cold sulfur (14, 22, 23) springs, including cold springs in Germany that harbor a string-of-pearls-like community consisting of microbial filaments of Archaea in close association with sulfide-oxidizing bacteria related to Thiothrix (33). Sulfur springs usually support a diversity of sulfur-oxidizing bacteria, including anaerobic anoxygenic phototrophs (purple and green sulfur bacteria) that use reduced sulfur compounds as electron donors during photosynthesis (14, 15). Our initial culture-independent study, based on 16S rRNA gene analysis, suggested that the GH springs are also dominated by sulfur oxidizers (36), and abundant grayish-white microbial streamers have been observed in the spring channels during the late winter. However, despite the high sulfide concentration in the GH springs and the continuous illumination during the sampling period, neither anaerobic anoxygenic phototrophs nor any other photoautotrophic microorganisms were detected in our initial study (36).
Sulfur-based chemolithoautotrophy, mainly performed by Epsilonproteobacteria, was shown to sustain microbial ecosystems devoid of light, such as hydrothermal vents (28) and aphotic (cave) sulfidic springs (16, 17, 45). Chemolithoautotrophic Thiomicrospira species are believed to be important primary producers in Antarctic subglacial outflows (32). As the GH springs undergo ∼3 months of total darkness during the Arctic winter, non-photosynthesis-based primary production was hypothesized to be important in the GH springs' microbial ecosystem (36).
In this study, we build upon our earlier work (36) with an examination of the heterotrophic and autotrophic compositions of the GH springs' bacterial isolates and measured metabolic activities (leucine and bicarbonate uptakes, sulfur metabolism, carbon isotope signatures for methane [CH4] and dissolved inorganic carbon [DIC]) in sediments and outflow waters. The objectives were to identify phylogenetic and physiological characteristics that enable microorganisms to inhabit and sustain this unique and still poorly characterized Arctic ecosystem.
MATERIALS AND METHODS
Site description and sampling.
The GH site is located at 79°24′30″N, 90°43′05″W. Forty springs and seeps discharge along a band that is nearly 300-m long and 30-m wide at the base of a steep slope formed by the Expedition Diapir (GH) (38). The discharged saline waters (7.5 to 7.9% salt) have temperatures ranging from −1.3°C to 6.9°C and a pH of 7.4. Oxidoreduction potential values from −283 to −375 mV indicate that the spring outlets are highly reducing environments, although not anaerobic, as low dissolved-oxygen concentrations (0.05 to 0.2 ppm) were detected in the water layer just overlying the sediments. The waters were shown to contain 25 to 50 ppm of sulfide and 3,724 mg/liter of sulfate (34). The four main springs (GH-1, GH-2, GH-3, and GH-4) (see Fig. S1 in the supplemental material), examined in our initial investigation, were also chosen for this study. As physicochemical parameters are similar for all the springs and bacterial and archaeal community profiles were shown to be similar by denaturing gradient gel electrophoresis, one spring (GH-4) was selected for activity analyses (leucine and bicarbonate uptakes, sulfur oxidation, and sulfate reduction in microcosms) and for most probable number (MPN) determination. Microbial counts by epifluorescence microscopy and enumeration of culturable bacteria by the spread plate method were performed for all four springs' waters and sediments. In July 2005, 50-ml composite sediment samples (top 10 cm) were collected; they were composed of 5 to 10 subsamples, depending on the size of the springs, to ensure that the samples were representative of the composition of the springs. One liter of water was also collected from each of the same four GH springs. These samples were brought back to the McGill High Arctic Research Station (MARS) where they were processed for microbial enumeration (epifluorescence microscopy and culturing) as described below.
Total microbial counts by epifluorescence microscopy.
Total microbial numbers were determined by epifluorescence microscopy for the four springs' waters and sediments, as described by Bloem (9). In brief, 10-ml volumes of the water samples were fixed with filtered formalin (2% final concentration), stained with acridine orange (100 μg/ml final concentration) for 2 h in the dark, and filtered onto 25-mm 0.22-μm-pore-size black polycarbonate filters (Osmonics, Inc., Minnetonka, MN). For the sediments, 5 g were mixed with 45 ml filtered deionized water and vortexed for 1 min at maximum speed. Nine milliliters of the sediment suspension was fixed with filtered formalin (3.7% final concentration). Ten microliters of the suspension was evenly distributed in a specific area of 113 mm2 defined by a hole with a diameter of exactly 12 mm on an adhesive plastic tape attached to the surface of the slide. The slide was covered with 5-(4,6-dichlorotriazinyl)aminofluorescein, and the evenness of the suspension was verified by examining cell distribution by microscopy. For each sample, at least 10 fields were counted at random with a Nikon Eclipse E600 microscope at 1,000× magnification on triplicate slides. Counts are reported as the mean of the results for triplicate assays with the standard deviation for each sediment sample.
Culture media and enumeration of culturable bacteria by the spread plate and MPN methods.
Based on our initial culture-independent study, culture media for microbial enumeration and isolation were selected to target heterotrophic, sulfur-oxidizing, and sulfate-reducing bacteria (SRB), as well as haloarchaea. Heterotrophic bacteria were cultured on Difco marine medium 2216 (0.6% carbon) and an oligotrophic medium (designated AH-H; 0.03% carbon) specifically designed for the GH springs. AH-H medium was supplemented with 2.5% NaCl (AH-H2) or 8% NaCl (AH-H8) and contained the following components (per liter): 0.05 g each of yeast, peptone, casein, glucose, Na-acetate, Na-formate; 4.0 g Na2SO4; 0.72 g KCl; 0.27 g NH4Cl; 0.09 g Na2HPO4·7H2O; 5.0 g MgCl2·6H2O; 1.0 g CaCl2·2H2O; and 1.12 g tampon Tris-EDTA-saccharose. A thiosulfate medium (AH-S2; 0.4 g NH4Cl, 4.0 g KH2PO4, 4.0 g K2HPO4, 0.8 g MgSO4·7H2O, 0.03 g CaCl2, 0.02 g FeCl3·6H2O, 0.02 g MnSO4·H2O, 5.0 g Na2S2O3·5H2O, and 25.0 g NaCl per liter) was used for cultivating chemolithoautotrophic sulfur oxidizers. Postgate's medium B (39), supplemented with 2.5% NaCl, was used for SRB. DSMZ medium 372 (http://www.dsmz.de/microorganisms/html/media/medium000372.html) supplemented with two antibiotics (ampicillin and kanamycin; 75 μg/ml final concentration) was used for haloarchaea. All media were supplemented with 1 ml trace element solution SL-10 (5) and 10 ml Balch's vitamin solution (5) and adjusted to pH 7.0 to 7.5; solid media were prepared by adding 15 g/liter of agar. Liquid media used for anaerobic studies (all except AH-S2) were made anaerobic by degassing, followed by charging with N2 three times. Controls with resazurin were prepared in parallel to ensure that anaerobic conditions were obtained and maintained throughout the experiment.
Culturable aerobic bacteria were enumerated by the spread plate method (GH-1, GH-2, GH-3, and GH-4 waters and sediments). The number of CFU was determined by spreading 100 μl of sediment dilutions or 500 μl of spring water onto the surface of the solid media. Aerobic and anaerobic culturable bacteria (GH-4 sediment) were enumerated by the MPN method using triplicate serial dilutions to 10−7, as described previously (49). Plates and tubes were incubated at 5°C for 2 months and were checked again periodically for up to 6 months. MPN tubes were marked as positive by visual observation, i.e., cloudiness and color change after the addition of 1 drop of bromothymol blue 1% as a pH indicator. Ambiguous tubes and the first negative tubes of each set of dilutions were checked by microscopy after DAPI (4′,6-diamidino-2-phenylindole; Sigma) staining of a 1-ml subsample as described by Junge et al. (27). Plate count results are presented as the mean of the results for triplicate assays. MPNs were calculated using the MPN calculator VB6 (http://www.i2workout.com/mcuriale/mpn/index.html) (25).
Isolation and growth characterization of the bacterial isolates.
More than 200 colonies were selected on the agar media, based on morphology, pigmentation, and size (more than one identical colony when possible) and obtained as pure isolates. Aliquots (100 μl) of the most dilute MPN tubes of each medium were also plated onto agar media, and the corresponding isolates were identified as the most abundant culturable bacteria. The ability of each heterotrophic isolate to grow at different temperatures and salt concentrations was determined on R2A agar (43) supplemented with 0%, 2.5%, 5%, 7.5%, and 10% NaCl and incubated at 5°C, room temperature (RT) of 23 ± 2°C, and 37°C for up to 1 month. Anaerobic growth was assessed at 5°C on R2A agar 2.5% NaCl in an anaerobic jar flushed with N2 and containing a dry anaerobic indicator strip (BBL, MD).
Genomic DNA extraction, PCR amplification, and analyses of the 16S rRNA, pufM, and soxB genes.
The genomic DNA of the bacterial isolates was extracted from cells grown in 2 ml broth cultures by the phenol-chloroform-isoamyl alcohol method (4). PCR amplifications were performed on ∼20 ng of DNA. All isolates were identified by sequencing of ∼600 bp of the 16S rRNA gene with primers 341F and 926R. Strains with identical sequences were assigned to the same group (phylotype), and one representative of each phylotype (49 strains) was chosen for near-full-length (∼1,500 bp) 16S rRNA gene amplification using the primers 8F and 1492R (44). A 229-bp portion of the pufM gene was amplified using the primers pufM.557F and pufM.750R as described previously (1). The partial soxB gene was amplified using the primers soxB432F and soxB1446B (37). The amplicons were sequenced on both strands at the McGill University Genome Quebec Innovation Centre. The 16S rRNA, pufM, and soxB DNA sequences were submitted for comparison to the GenBank databases using the BlastN algorithm (2). The DNA sequences were aligned with their closest relatives by using ClustalW, and phylogenetic trees (neighbor-joining algorithm with Jukes-Cantor corrections) were constructed using the MacVector 7.2 software package (Accelrys). The robustness of inferred topologies was tested by 1,000 bootstrap resamplings of the neighbor-joining data.
Radiolabeled leucine and bicarbonate uptake.
The uptake of radiolabeled substrates was performed in the field on freshly collected GH-4 spring water samples. Leucine uptake was performed in July 2005 and bicarbonate uptake in July 2006 as indicators of heterotrophic and autotrophic activity, respectively. The reaction bottles (sterile acid-washed serum bottles sealed with butyl rubber stoppers and aluminum crimps) were incubated at the MARS at a temperature close to the spring water in situ temperature (∼6.9°C). Leucine uptake was determined in triplicate by the addition of l-[4,5-3H]leucine (10 nM final concentration) (specific activity, 168 Ci/mmol; Amersham Biosciences) to 10 ml of spring water. Formaldehyde-killed controls were treated in parallel. The reaction was terminated after 3 h by the addition of 10% trichloroacetic acid, and the samples were heated at 80°C for 15 min before filtration on 25-mm 0.2-μm-pore-size mixed cellulose ester filters (Millipore). Bicarbonate uptake was performed based on the method described by Joint et al. (26). 14C-labeled sodium bicarbonate (10 μCi) (specific activity, 53.5 mCi/mmol; MP Biochemicals, Inc.) was added to 60 ml of spring water. Three bottles were used as experimental replicates for light and three as experimental replicates for dark. Three controls were prepared: a killed control (with 1% formaldehyde final concentration), a no-14C control (no radiolabel added), and a no-cell control (prepared with deionized water). After 30 h, 30 ml was removed from each bottle by using a sterile needle, and the volume removed was replaced by air filtered through a 0.2-μm-pore-size syringe filter. The remaining 30 ml was incubated for a total of 54 h, and particulate material was collected on mixed cellulose ester filters. The filters were acidified with concentrated (fuming) HCl to eliminate adsorbed and abiotically precipitated inorganic 14C.
Filters from both experiments were air dried, placed in a scintillation vial, and frozen for later processing. The filters were then dissolved with 0.5 ml of ethyl acetate, 10 ml of scintillation cocktail was added to each vial, and the radioactivity of the particulate material was determined in a Beckman LS-6500 scintillation counter (Beckman-Coulter Inc., Fullerton, CA). No uptake was observed in the experimental controls.
Sulfur oxidation and sulfate reduction in microcosms.
S-metabolizing activities were determined in laboratory microcosms by monitoring the change in the sulfate concentration of GH-4 sediment slurries. A first set of experiments performed in 2006 consisted of a 15-ml sample of sediment slurries prepared with filtered GH-4 spring water (1 part sediment to 1 part filtered spring water) in 60-ml glass serum bottles. The microcosms were amended with selected substrates (20 mM thiosulfate, 20 mM molybdate, 20 mM lactate), and sterilized controls (autoclaved) were used to determine abiotic S transformations. Sulfate reduction was assessed in anaerobic microcosms as described in Purdy et al. (40) examining Antarctic sediments. Lactate was used as the substrate as Knoblauch et al. (30) demonstrated that, unlike acetate, lactate was used by their five psychrophilic SRB strains from Arctic sediments. The microcosms for S reduction were prepared anaerobically under sterile N2 in a glove bag (Cole-Parmer Canada Inc., Montreal, Canada). The bottles were sealed with butyl rubber stoppers and aluminum crimps, and the microcosm bottle headspaces were further flushed with N2 three times for 5 min each, as described above. The 2006 microcosms were incubated at 5 to 8°C in the dark. A second set of experiments (2007) consisted of a 15-ml sample of sediment slurries prepared with the same thiosulfate medium (20 mM thiosulfate) as for cultivation (1 part sediment to 2 parts thiosulfate medium). The 2007 microcosms were incubated at 5 to 8°C (in the dark) or at RT (23 ± 2°C) (in the dark and light).
The microcosms were mixed on a rotary shaker (150 rpm) for 1 h every day. Liquid aliquots (200 μl) were withdrawn at time zero and at different time intervals for 30 days and centrifuged at 10,000 × g for 5 min. The aliquots were diluted with distillated water, and their sulfate concentrations (ppm) were determined by ion exchange high-pressure liquid chromatography (model SP8800; Spectra-Physics). The sulfate concentrations measured during the 30-day incubation were used to calculate the sulfur oxidation rates (SORs), as nanomoles of sulfate produced per cm3 of sediment per day. Sterile controls were performed in parallel to determine the abiotic SORs, which were subtracted from the overall SORs. The sediments were equally distributed in each bottle of the same assay (7.5 g of sediment for 7.5 ml of spring water in 2006; 5 g of sediment for 10 ml liquid medium in 2007), and the rates were normalized between samples by taking into account the different dilution factors (i.e., by multiplying by 2 for the 2006 rates and by 3 for the 2007 rates). The results are presented as the mean of the results for triplicate assays. Standard errors (SE) were calculated with the equation SE = SD/√n, where SD is the standard deviation and n is the number of experimental replicates.
Gas compositional and isotopic analysis.
Dissolved gas samples discharging from the springs were collected in July 2005 and 2006 and in May 2007, as in the work of Ward et al. (51). Compositional analyses of gas-phase samples arising from the springs were performed on a Varian 3400 gas chromatograph equipped with a flame ionization detector to determine the concentrations of CH4, C2H6, C3H8, and C4H10. A thermal conductivity detector and molecular sieve 5A PLOT column (25 m by 0.53-mm internal diameter) were used to determine concentrations of the inorganic gas components (H2, He, O2, CO2, and N2). All analyses were run in duplicate, and the mean values are reported. Reproducibility for duplicate analyses was ±5%. Analyses for δ13CCH4 values were performed by continuous-flow-compound-specific carbon isotope ratio mass spectrometry with a Finnigan MAT 252 mass spectrometer interfaced with a Varian 3400 capillary gas chromatograph and a Poraplot Q column (25 m by 0.32-mm internal diameter). Total error incorporating both accuracy and reproducibility was ±0.5‰ with respect to the Vienna-Pee Dee Belemnite international isotopic standard. Detailed analytical methods can be found in the work by Ward et al. (51).
Samples for quantitative and isotopic analysis of DIC were analyzed on an OI analytical TIC-TOC analyzer model 1010 according to the method of St-Jean (50). The TIC-TOC analyzer was connected via an interface to a Finnigan Mat DeltaPlus isotope ratio mass spectrometer. Data were normalized by an internal standard. The total analytical uncertainty for each sample is 5% for the quantitative analysis and ±0.5‰ for the isotopes, including both accuracy and reproducibility (50).
Nucleotide sequence accession numbers.
The DNA sequences obtained in this study have been deposited in the GenBank database under accession numbers EU196298 to EU196353.
RESULTS
Microbial abundance.
The total microbial numbers (cells ml−1) in the GH spring waters were as follows: GH-1, 8.4 ± 0.3 × 103; GH-2, 3.4 ± 0.4 × 104; GH-3, 7.5 ± 0.8 × 103; and GH-4, 2.6 ± 0.2 × 104. Total microbial numbers (cells g−1) in the GH spring sediments were as follows (average based on triplicate assays on a single composite sediment sample): GH-1, 8.3 ± 1.1 × 107; GH-2, 4.0 ± 1.0 × 107; GH-3, 8.2 ± 0.4 × 107; and GH-4, 3.5 ± 1.5 × 107. Plate count numbers were too low in the waters to be significant, except with the thiosulfate medium where the numbers reached 3.0 ± 0.5 × 103 CFU/ml for GH-3, which represented 40% of the total microbial count. The highest plate counts (1.9 × 105 to 2.5 × 105 CFU/g) in sediments were obtained with the thiosulfate medium (AH-S2) (Fig. 1). Since some heterotrophic bacteria can use agar as the sole carbon source, 16S rRNA gene sequencing (∼600 bp) of 10 random colonies growing on the thiosulfate medium (all the colonies had the same morphology [shape, size, and color]) was performed, and the obtained sequences were all 99% related to the chemolithoautotrophic sulfur oxidizer Halothiobacillus. SRB were not detected in Postgate's medium B with anaerobic cultivation even though SRB phylotypes of Desulfobacteriaceae were retrieved in our initial culture-independent study (36). SRB were detected in the same batch of MPN tubes inoculated with sediment from a similar cold saline spring at Colour Peak, located 11 km away from the GH site, indicating that our conditions were adequate for the culture of at least some SRB species. Haloarchaea were not cultured either; microorganisms that grew in the DSMZ medium 372 were related to Marinobacter, despite the high salt concentration (20%) and the presence of two antibiotics. The MPN results for GH-4 were similar to the GH-4 spread plate counts; i.e., the highest MPN count (3.7 × 105 cells/g) was obtained with the aerobic thiosulfate medium (AH-S2), while the highest heterotrophic number (1.7 × 105 cells/g) was obtained with the M2216 medium (aerobic and anaerobic). The AH-H2 medium enumerated 3.7 × 104 cells/g (aerobic and anaerobic). The 8% NaCl oligotrophic medium AH-H8 gave the lowest MPN counts with 1.7 × 104 cells/g (aerobic) and 1.4 × 103 cells/g (anaerobic). The similar MPN counts in aerobic and anaerobic tubes suggested that the most abundant culturable bacterial populations were facultative anaerobes, which was subsequently confirmed by strain characterization. The resazurin controls showed that anaerobic conditions were maintained in the MPN tubes throughout the incubation period.
FIG. 1.

Culturable microbial counts (CFU/g) obtained by the spread plate method on heterotrophic (M2216, AH-H2, and AH-H8) and thiosulfate (AH-S2) media for the GH spring sediments.
Characterization of the bacterial isolates.
The GH isolates divided into 49 different phylotypes that grouped into four phyla: Actinobacteria (12% of the phylotypes), Bacteroidetes (12%), Firmicutes (18%), and Proteobacteria (58%) with representatives of the Alpha- (29%) and Gammaproteobacteria subclasses (71%) (Fig. 2 and 3). The five phylotypes isolated on the thiosulfate medium were highly related (96 to 99% DNA sequence identity) to chemolithoautotrophic sulfur oxidizers of the gammaproteobacterial genera Halothiobacillus and Thiomicrospira. The most common phylotypes classified as Gillisia, Psychrobacter, Marinobacter, Sporosarcina, and Halothiobacillus. Most of the isolates were highly related (≥98% identity) to bacteria previously isolated from marine and permanently cold environments, including perfect matches with bacteria from Antarctica. Four isolates had ≤95% sequence identity to their closest NCBI match and likely represent novel bacterial genera. NP25 was related only distantly to any cultured bacteria, the closest bacterium being Fusibacter paucivorans (86% identity), an anaerobic thiosulfate reducer isolated from an oil-producing well (42).
FIG. 2.
Phylogenetic relationships of 16S rRNA gene sequences from the GH springs' bacterial isolates (in boldface type) related to the Actinobacteria, Bacteroidetes, and Firmicutes. The tree was inferred by neighbor-joining analysis of 1,018 homologous positions of sequence from each isolate. Numbers on the nodes are the bootstrap values (percentages) based on 1,000 replicates. The scale bar indicates the estimated number of base changes per nucleotide sequence position.
FIG. 3.
Phylogenetic relationships of 16S rRNA gene sequences from the GH springs' bacterial isolates (in boldface type) related to the Proteobacteria. The tree was inferred by neighbor-joining analysis of 827 homologous positions of sequence from each isolate. Numbers on the nodes are the bootstrap values (percentages) based on 1,000 replicates. The scale bar indicates the estimated number of base changes per nucleotide sequence position.
The most-abundant culturable bacteria were related to Marinobacter spp. (strains SYO J55 and BSi20041 and Marinobacter salsuginis), Alkalibacterium olivoapovliticus, and Halothiobacillus sp. strain RA13. All the isolates tested were psychrotolerant as they grew at 5°C and at RT of 23 ± 2°C, and six isolates were also able to grow at 37°C (Table 1). All isolates grew with 2.5%, 5%, and 7.5% NaCl, with 7.5% NaCl being the salinity of the natural environment. Isolates NP15, NP21, and NP35 were able to grow without NaCl at 5°C but not at RT. These strains needed NaCl in the medium to grow at RT, which may be an example of osmotic reversal of temperature sensitivity, in which bacteria are able to grow at nonpermissive higher temperatures on media of sufficiently high osmolality (8). Four isolates related to Gillisia (NP9, NP10, NP17, and NP18), NP13, and NP16 were true halophiles, requiring salt in the medium for growth. With the exception of NP1, NP16, and the five isolates classified as Gillisia, all isolates grew anaerobically.
TABLE 1.
Growth characteristics of the GH spring heterotrophic isolates on R2A agara
| Isolate | Growth under indicated incubation condition
|
|||||||
|---|---|---|---|---|---|---|---|---|
| 5°C/RTb at NaCl concn (%) of:
|
37°C at 2.5% NaCl concn | AN at 2.5% NaCl concn | ||||||
| 0c | 0d | 2.5 | 5 | 7.5 | 10 | |||
| NP1 | + | + | + | + | + | + | − | − |
| NP2 | + | + | + | + | + | − | − | + |
| NP3 | + | + | + | + | + | − | − | + |
| NP4 | + | + | + | + | + | + | − | + |
| NP6 | + | + | + | + | + | + | + | + |
| NP7 | + | + | + | + | + | − | − | + |
| NP8 | + | + | + | + | + | − | − | − |
| NP9 | − | − | + | + | + | − | − | − |
| NP10 | − | − | + | + | + | − | − | − |
| NP11 | + | + | + | + | + | + | − | + |
| NP12 | + | + | + | + | + | + | − | + |
| NP13 | − | − | + | + | + | + | − | + |
| NP15 | + | − | + | + | + | + | − | + |
| NP16 | − | − | + | + | + | + | − | − |
| NP17 | − | − | + | + | + | − | − | − |
| NP18 | − | − | + | + | + | − | − | − |
| NP19 | + | + | + | + | + | + | + | + |
| NP21 | + | − | + | + | + | − | − | + |
| NP22 | + | + | + | + | + | + | − | + |
| NP23 | + | + | + | + | + | + | − | + |
| NP24 | + | + | + | + | + | + | + | + |
| NP25 | + | + | + | + | + | + | − | + |
| NP26 | + | + | + | + | + | − | − | + |
| NP27 | + | + | + | + | + | − | − | + |
| NP28 | + | + | + | + | + | + | − | + |
| NP29 | + | + | + | + | + | − | − | + |
| NP30 | ND | ND | ND | ND | ND | ND | ND | ND |
| NP31 | + | + | + | + | + | − | − | + |
| NP32 | + | + | + | + | + | − | − | + |
| NP33 | + | + | + | + | + | + | − | + |
| NP34 | + | + | + | + | + | − | − | + |
| NP35 | + | − | + | + | + | + | − | + |
| NP39 | + | + | + | + | + | + | + | + |
| NP38 | + | + | + | + | + | + | + | + |
| NP40 | + | + | + | + | + | + | − | + |
| NP41 | + | + | + | + | + | − | − | + |
| NP42 | + | + | + | + | + | + | + | + |
| NP43 | + | + | + | + | + | + | − | + |
| NP44 | + | + | + | + | + | + | − | + |
| NP45 | + | + | + | + | + | − | − | + |
| NP46 | ND | ND | ND | ND | ND | ND | ND | ND |
| NP47 | ND | ND | ND | ND | ND | ND | ND | ND |
| NP48 | + | + | + | + | + | − | − | + |
| NP52 | + | + | + | + | + | + | − | + |
+, growth; −, no growth; AN, anaerobic incubation; ND, not determined.
When not indicated otherwise, the results are for incubations at both 5°C and RT.
Results are for incubations at 5°C.
Results are for incubations at RT.
All the isolates were screened by PCR for the presence of soxB and pufM, which are involved in thiosulfate oxidation and anoxygenic phototrophy, respectively. A soxB sequence (Fig. 4) was found in NP40 (related to gammaproteobacterium Marinobacter sp. strain SYO J55 [Fig. 3]) and in NP29 and NP30 (related to the alphaproteobacteria Loktanella and Roseobacter, respectively [Fig. 3]). A soxB gene has previously been found in Marinobacter sp. HY-106 and Roseobacter denitrificans, but this is the first report of a putative soxB gene in a species of Loktanella. The Loktanella sequence branched with other soxB sequences from Alphaproteobacteria. Sequences of pufM (Fig. 5) were amplified from isolates NP13, NP29, and NP30, related to Alkalibacterium (Fig. 2), Loktanella, and Roseobacter (Fig. 3), respectively. Interestingly, the 229-bp partial pufM DNA sequences from NP13 and NP29 were 100% identical, suggesting horizontal gene transfer. Hu et al. (24) reported sequences of pufM from Gammaproteobacteria clustering with sequences from Alphaproteobacteria, but here we report possible horizontal gene transfer of pufM between bacteria of two different phyla, Firmicutes and Proteobacteria. In agreement with the 16S rRNA gene groupings, all the isolates assigned to the same phylotype showed the same growth patterns and the same pufM and soxB genotypes.
FIG. 4.

Neighbor-joining tree based on 465 nucleotide positions of the soxB gene from the GH springs' bacterial isolates (in boldface type). Numbers on the nodes are the bootstrap values (percentages) based on 1,000 replicates. The scale bar indicates the estimated number of base changes per nucleotide sequence position.
FIG. 5.

Neighbor-joining tree based on 184 nucleotide positions of the pufM gene from the GH springs' bacterial isolates (in boldface type). The scale bar indicates the estimated number of base changes per nucleotide sequence position. The bootstrap values were lower than 50 and are not indicated on the nodes.
Potential activities of the GH springs' microbial community.
The rate of leucine uptake by the spring heterotrophic microorganisms was 0.30 ± 0.03 pmol liter−1 h−1. The dark CO2 uptake by autotrophic microorganisms was 2.78 ± 0.48 nmol C liter−1 day−1, which was 22% higher than under natural light incubation. The uptake rates of the radiolabeled compounds were linear at the selected incubation times.
SORs were indirectly estimated by sulfate production in aerobic microcosms. The SOR determined in sediment slurries prepared with filtered GH spring water (Fig. 6a) were very similar in unamended microcosms and in microcosms with thiosulfate added, indicating that reduced sulfur compounds were already present in nonlimiting concentrations in the original sediment/water slurry. Unexpectedly, SOR in aerobic microcosms supplemented with thiosulfate and molybdate was 2.3 times higher (917 nmol/cm3/day compared to 394 nmol/cm3/day) than with thiosulfate alone. Molybdate was used as an inhibitor of sulfate reduction and was added even though the microcosms were incubated aerobically. It is possible that sulfate reduction occurred in these aerobic microcosms in anaerobic pockets formed by insufficient aeration and that the inhibition of SRB activity with molybdate provoked a net sulfate increase due to the activity of sulfur oxidizers. The 2007 microcosms (synthetic thiosulfate medium) resulted in an SOR similar to that of the 2006 microcosms (natural spring water) when incubated under similar conditions, i.e., 5°C and 7.5% NaCl (Fig. 6b). The SOR was approximately three times higher at lower salt concentrations (2.5%) than it was at 7.5% NaCl, the salinity of the natural environment. The SORs were similar at 5°C and RT, showing that the enzymatic machinery of the sulfur-oxidizing population was well adapted to life at cold temperatures. After 10 days, the SOR was slightly higher under light incubation than it was under dark incubation, although the difference is not statistically significant since the standard error bars overlap (Fig. 6b). Sulfate concentrations remained unchanged over time in the anaerobic unamended microcosms and the microcosms amended with molybdate only (Fig. 6c). The anaerobic microcosms amended with lactate unexpectedly showed an increase in sulfate over time (a decrease would be expected for sulfate reduction), particularly in those that also contained molybdate, suggesting that heterotrophic anaerobic sulfur oxidation was occurring using the reduced sulfur compounds (such as sulfide) (36) already present in the slurry, to produce sulfate. The smaller increase in sulfate in anaerobic microcosms amended with lactate and no molybdate suggested that sulfate reduction was indeed occurring with lactate as the energy source, counterbalancing the heterotrophic anaerobic sulfur oxidation.
FIG. 6.

Evolution of the sulfate concentration (ppm) in microcosms for the GH-4 spring sediment. (a) 2006 aerobic microcosms. ▴, S2O3/molybdate (Mo); ▪, S2O3; dashed line, unamended; ○, S2O3, autoclaved. (b) 2007 aerobic microcosms. ▵, 2.5% NaCl at RT under light incubation; ▴, 2.5% NaCl at RT under dark incubation; ♦, 2.5% NaCl at 5°C under dark incubation; □, 7.5% NaCl at RT under light incubation; •, 7.5% NaCl at 5°C under dark incubation; ▪, 7.5% NaCl at RT under dark incubation. (c) 2006 anaerobic microcosms. □, lactate/Mo; ▪, lactate; ▵, Mo; dashed line, unamended. The error bars represent the standard errors.
Carbon isotope signatures of CH4 gas from the GH springs.
Gas emissions from the springs consisted predominantly of N2 (87 to 99%), although they also contained from 0.38 to 0.51% CH4, ∼0.3% He, and ∼1% Ar (data not shown). CO2, H2, and higher hydrocarbon gases (ethane, propane, butane) were all below the detection limit. The lack of any significant concentrations of higher hydrocarbons associated with the CH4 suggests that the gas originates from microbial methanogenesis (52). Values of δ13CCH4 for the GH springs showed significant variation both from spring to spring and over time. In 2006, GH-2 had a δ13C value of −71.2‰, consistent with the 13C-depleted isotopic signature expected for microbial methanogenesis. Samples taken in 2005 and in 2007 for this spring, however, had δ13C values of −6.1‰ and −12.4‰, respectively. Such pronounced isotopic enrichments are typical of methanotrophy, which enriches the residual methane pool in 13C (resulting in a less negative δ13C value) due to preferential enzymatic breakage of 12C-H bonds versus that of 13C-H bonds (52). Similarly, GH-4 showed very enriched δ13C values in 2005 and 2007 (−10.3‰ and −6.5‰, respectively) compared to a value of −32.0‰ in 2006. The isotopic composition of methane for GH-1 and GH-3 were obtained in only 1 year, but once again, their very 13C-enriched values of −12.7‰ and −12.1‰ suggest methanotrophic activity in the springs. In 2007, concentrations and carbon isotope compositions (δ13C) of the DIC from the GH springs were first analyzed. DIC concentrations range between 7.0 and 7.6 ppm while DIC δ13C values were −5.6‰ and −6.5‰ for GH-2 and GH-4, respectively.
DISCUSSION
Total microbial numbers in the GH springs were lower than those in the nearby Arctic Ocean (107 cells/ml of water and 109 cells/g of sediments) (41) or other cold saline aquatic environments, such as supercooled brines in permafrost (107 cells/ml) (20) and the hypersaline deep-sea basin Urania (105 cells/ml) (46), but are similar to the counts for supraglacial sulfur springs on Ellesmere Island in the Canadian high Arctic (22). The total microbial numbers in the sediments of these permafrost springs were comparable to those determined in a sedimentary permafrost sample (3.56 × 107 cells/g) from the same region of the Canadian high Arctic (49). The highest numbers of culturable bacteria were obtained with thiosulfate as the sole energy source and CO2 as the sole carbon source. This abundance of chemolithoautotrophic sulfur-oxidizing bacteria is in agreement with the results of our initial culture-independent study (36), which found that 30% of the bacterial clones from a GH-4 clone library were related to chemolithoautotrophic sulfur oxidizers.
The bacteria isolated from the GH springs were predominantly psychrotolerant, facultative anaerobes and grew at salt concentrations at least as high as the in situ salinity. Gillisia, Psychrobacter, Marinobacter, and Sporosarcina had the highest diversity of phylotypes. However, members of these four heterotrophic genera were not detected in the previously published clone library from GH (library coverage of 84% as defined by Good's calculation) (21). While the abundance of DNA from sulfur oxidizers could have masked their presence, heterotrophic bacteria may have been successfully cultured on heterotrophic media owing to the absence of concurrent growth from sulfur-oxidizers. Only one identical phylotype related to a heterotrophic species, Loktanella salsilacus, was found in both studies, compared to three sulfur-oxidizing species (Thiomicrospira psychrophila, Halothiobacillus sp. strain RA13, and Halothiobacillus sp. strain EBD bloom). Overall, the isolates grouped into four phyla that were also identified in the clone library. Three additional divisions were found in the culture-independent study (Verrucomicrobia, Gemmatimonadetes, and Spirochaetes), but these phyla have few cultured members and comprised only one phylotype each in our clone library. Overall, both methods showed the prevalence of Proteobacteria. Three of the Sporosarcina spp. isolated from the GH springs were also isolated in a 9-m-deep permafrost sample from Eureka (Ellesmere Island) (49), indicating that some of the Sporosarcina spring strains may be permafrost inhabitants that are being picked up as the spring water rises through the 600 m of permafrost. On the other hand, the GH springs' bacterial composition was clearly different than the one found in the Eureka permafrost, which was dominated by Firmicutes spore formers (49). Many of the bacteria inhabiting these remote Arctic springs were phylogenetically highly related to bacteria isolated from Antarctic environments. Very similar isolates obtained from different poles have been reported elsewhere (11, 12, 48), and phylogenetic surveys of the world's oceans have strongly suggested the mixing of bacterial populations on a global scale (11). However, 16S rRNA similarity is not sufficient to establish that identical species occur at both poles. Staley and Gosink (48) proposed a number of postulates to determine if a species is cosmopolitan, including assessing DNA-DNA reassociation.
Interestingly, Marinobacter species, some of the most abundant culturable heterotrophs in the spring sediments, are abundant in other polar environments, such as a subglacial outflow in Antarctica (32), Arctic pack ice (11), Arctic supraglacial cold sulfidic springs (22), and a nearby methane-rich hypersaline spring on Axel Heiberg Island (L. Whyte and T. Niederberger, personal communication). Marinobacter spp. are moderately halophilic marine Gammaproteobacteria that use a wide variety of hydrocarbons as sole sources of carbon and energy (19, 47). The presence of Marinobacter in the GH springs could be linked to a possible marine origin of the springs (38); hydrocarbons C10 to C50 were not detected in spring sediment samples collected in 2006 (unpublished data), and shorter-chain hydrocarbons other than CH4 were not detected in the gas emitting from the springs.
Like autotrophic bacteria, heterotrophic bacteria can also use light (photoheterotrophic) and reduced sulfur compounds, but only as a supplemental, not as the sole, energy source (31). The pufM gene, which encodes a pigment-binding protein for the M subunit of the anoxygenic photosynthetic reaction center (7, 24) and the soxB gene, encoding an enzyme essential for thiosulfate oxidation by sulfur-oxidizing bacteria of various phylogenetic groups (37), were used to detect strains capable of these metabolic activities. We found that one of the Marinobacter isolates and the isolates related to Loktanella salsilacus and Roseobacter, all facultative anaerobes, possessed a putative soxB gene. Loktanella-related species and some Roseobacter spp. are known to oxidize reduced sulfur compounds under both oxic and anoxic conditions (13); the corresponding GH strains could be involved in heterotrophic anaerobic sulfur oxidation in the spring sediments. Since the GH springs are oligotrophic and sulfidic with very low levels of oxygen, the capacity to derive energy from reduced sulfur compounds, particularly under anoxic conditions, would give a physiological advantage for competing in these ecosystems. Three isolates from the springs are putative photoheterotrophs, since they possess a pufM sequence; these bacteria would benefit from the long periods of summer light in this high latitude ecosystem.
While heterotrophic bacterial activity was lower than that of other polar environments (e.g., 2 to 130 pmol of leucine liter−1 h−1 in Lake Fryxell, Antarctica) (6), CO2 fixation was relatively high under dark incubation, indicating chemolithoautotrophic activity. Similar dark CO2 uptakes (1.2 to 3.2 nmol C liter−1 day−1) were determined in an Antarctic subglacial outflow (32) and subglacial lake water (18). Similar to aphotic ecosystems such as deep-sea hydrothermal vents and sulfidic groundwater, chemoautotrophs may be the main primary producers in the GH springs' ecosystem. There are several lines of evidence supporting this hypothesis as follows: (i) an abundance of chemolithoautotrophic sulfur oxidizers were found in both this culture-dependent study and the initial culture-independent study (36); (ii) photoautotrophic phylotypes of sulfur oxidizers or cyanobacteria were not detected in the culture-independent study despite the high sulfide concentration and the continuous illumination during the sampling period; (iii) eukaryotic DNA (so no phototrophic eukaryotes) was not detected in the GH spring sediments by using diverse sets of 18S rRNA gene primers, and phototrophic eukaryotic cells were not seen by microscopic observation (unpublished data); (iv) chlorophyll was not detected over the surface of the carbonates from ∼100 spring locations by using a pulse amplitude modulation fluorometer (3); and (v) the only possible photosynthetic organisms detected were the heterotrophic bacterial isolates possessing a pufM sequence. However, such photoheterotrophs do not use carbon dioxide as their sole carbon source: they use organic compounds from the environment for their carbon requirements. Thus, unlike photoautotrophs, they do not provide net supplies of carbon to the ecosystem (29).
The predominance of CH4 in the springs rather than a CH4-higher hydrocarbon mixture suggests a microbial origin for these gases. The δ13CCH4 value of −71.2‰ in 2006 is also consistent with this hypothesis. The significant variation in δ13CCH4 values observed over time indicates, however, that the system is more complex, with methanotrophic activity as the most likely cause of the enriched δ13C values (52). While δ13CCH4 values for DIC were determined only for one spring, the very small isotopic difference between δ13CDIC and δ13CCH4 for this sample is consistent with the effects of methanotrophy (52). The highly reduced environment in the springs (−283 to −324 mV) should allow methanogenesis, and 16S rRNA gene sequences related to Methanosarcinales were detected in our culture-independent study (36). Methanotrophy in the GH springs may be performed by aerobic methanotrophs but could also be the result of anaerobic methane oxidation, which is catalyzed by Archaea phylogenetically related to Methanosarcinales in association with deltaproteobacterial SRB (10, 35). Isolates or 16S rRNA gene sequences directly related to known aerobic methane-oxidizing bacteria or anaerobic methane-oxidizing archaea have not yet been detected in the GH springs; on the other hand, a high proportion of sequences related to Methanosarcinales and deltaproteobacterial sulfate reducers were identified.
Conclusions.
The springs of GH experience long consecutive periods of illumination or total darkness. These conditions have an unknown effect on the springs' phototrophic microbial populations and, accordingly, on photosynthetic primary production. Our results suggest that the springs' microbial community is primarily sustained by chemolithoautotrophic primary production performed by sulfur-oxidizing bacteria, even in the period of continuous illumination in the Arctic summer. To date, ecosystems of this type have been found only in permanently dark hydrothermal vents and sulfidic groundwater but not in illuminated ecosystems.
Supplementary Material
Acknowledgments
We thank Thomas Niederberger for assistance in the field. Logistic support was provided by the Canadian Polar Continental Shelf Project (PCSP 664-06 and 666-05) and McGill University's High Arctic Research Station.
This work was supported by grants from NASA's Exobiology program (NAG5-12395), the Natural Sciences and Engineering Research Council of Canada (NSERC; Discovery Program and Northern Supplements), and the Canadian Space Agency Canadian Analogue Research Network program. Additional funding for student research was provided by the Department of Indian and Northern Affairs—Northern Scientific Training Program, the McGill University Centre for Climate and Global Change Research, and the Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT).
Footnotes
Published ahead of print on 19 September 2008.
Supplemental material for this article may be found at http://aem.asm.org/.
REFERENCES
- 1.Achenbach, L. A., J. Carey, and M. T. Madigan. 2001. Photosynthetic and phylogenetic primers for detection of anoxygenic phototrophs in natural environments. Appl. Environ. Microbiol. 67:2922-2926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Altschul, S., W. Gish, W. Miller, E. Myers, and D. J. Lipman. 1990. Basic local alignment search tool. J. Mol. Biol. 215:403-410. [DOI] [PubMed] [Google Scholar]
- 3.Andersen, D. 2004. Perennial springs in the Canadian high arctic: analogues of hydrothermal systems on Mars. Ph.D. thesis. McGill University, Montreal, Canada.
- 4.Ausubel, F. M., R. Brent, R. E. Kingston, D. D. Moore, J. G. Seidman, J. A. Smith, and K. Struhl (ed.). 1999. Short protocols in molecular biology: a compendium of methods from Current protocols in molecular biology, 4th ed. John Wiley & Sons, New York, NY.
- 5.Balch, W. E., G. E. Fox, L. J. Magrum, C. R. Woese, and R. S. Wolfe. 1979. Methanogens: reevaluation of a unique biological group. Microbiol. Rev. 43:260-296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bayliss, P., J. Ellis-Evans, and J. Laybourn-Parry. 1997. Temporal patterns of primary production in a large ultra-oligotrophic Antarctic freshwater lake. Polar Biol. 18:363-370. [Google Scholar]
- 7.Béjà, O., M. T. Suzuki, J. F. Heidelberg, W. C. Nelson, C. M. Preston, T. Hamada, J. A. Eisen, C. M. Fraser, and E. F. DeLong. 2002. Unsuspected diversity among marine aerobic anoxygenic phototrophs. Nature 415:630-633. [DOI] [PubMed] [Google Scholar]
- 8.Bilsky, A. Z., and J. B. Armstrong. 1973. Osmotic reversal of temperature sensitivity in Escherichia coli. J. Bacteriol. 113:76-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Bloem, J. 1995. Fluorescent staining of microbes for total direct counts, p. 1-12. In A. D. Akerrmans, J. D. van Elsas, and F. J. de Bruijn (ed.), Molecular microbial ecology manual, vol. 4.1.8. Kluwer Academic Publishers, Dordrecht, The Netherlands. [Google Scholar]
- 10.Boetius, A., K. Ravenschlag, C. Schubert, D. Rickert, F. Widdel, A. Gieseke, R. Amann, B. Jorgersen, U. Witte, and O. Pfannkuche. 2000. A marine microbial consortium apparently mediating anaerobic oxidation of methane. Nature 407:623-626. [DOI] [PubMed] [Google Scholar]
- 11.Brinkmeyer, R., K. Knittel, J. Jurgens, H. Weyland, R. Amann, and E. Helmke. 2003. Diversity and structure of bacterial communities in Arctic versus Antarctic pack ice. Appl. Environ. Microbiol. 69:6610-6619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Christner, B. C., E. Mosley-Thompson, L. Thompson, V. Zagorodnov, K. Sandman, and J. Reeve. 2000. Recovery and identification of viable bacteria immured in glacier ice. Icarus 144:479-485. [Google Scholar]
- 13.Cytryn, E., J. van Rijn, A. Schramm, A. Gieseke, D. de Beer, and D. Minz. 2005. Identification of bacteria potentially responsible for oxic and anoxic sulfide oxidation in biofilters of a recirculating mariculture system. Appl. Environ. Microbiol. 71:6134-6141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Douglas, S., and D. Douglas. 2001. Structural and geomicrobiological characteristics of a microbial community from a cold sulfide spring. Geomicrobiol. J. 18:401-422. [Google Scholar]
- 15.Elshahed, M. S., J. M. Senko, F. Z. Najar, S. M. Kenton, B. A. Roe, T. A. Dewers, J. R. Spear, and L. R. Krumholz. 2003. Bacterial diversity and sulfur cycling in a mesophilic sulfide-rich spring. Appl. Environ. Microbiol. 69:5609-5621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Engel, A. S., N. Lee, M. L. Porter, L. A. Stern, P. C. Bennett, and M. Wagner. 2003. Filamentous “Epsilonproteobacteria” dominate microbial mats from sulfidic cave springs. Appl. Environ. Microbiol. 69:5503-5511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Engel, A. S., M. L. Porter, L. A. Stern, S. Quinlan, and P. C. Bennett. 2004. Bacterial diversity and ecosystem function of filamentous microbial mats from aphotic (cave) sulfidic springs dominated by chemolithoautotrophic “Epsilonproteobacteria.” FEMS Microbiol. Ecol. 51:31-53. [DOI] [PubMed] [Google Scholar]
- 18.Gaidos, E., B. Lanoil, T. Thorsteinsson, A. Graham, M. Skidmore, S. K. Han, T. Rust, and B. Popp. 2004. A viable microbial community in a subglacial volcanic crater lake, Iceland. Astrobiology 4:327-344. [DOI] [PubMed] [Google Scholar]
- 19.Gauthier, M. J., B. Lafay, R. Christen, L. Fernandez, M. Acquaviva, P. Bonin, and J. C. Bertrand. 1992. Marinobacter hydrocarbonoclasticus gen. nov., sp. nov., a new, extremely halotolerant, hydrocarbon-degrading marine bacterium. Int. J. Syst. Bacteriol. 42:568-576. [DOI] [PubMed] [Google Scholar]
- 20.Gilichinsky, D., E. Rivkina, V. Shcherbakova, K. Laurinavichuis, and J. Tiedje. 2003. Supercooled water brines within permafrost—an unknown ecological niche for microorganisms: a model for astrobiology. Astrobiology 3:331-341. [DOI] [PubMed] [Google Scholar]
- 21.Good, I. 1953. The population frequencies of species and the estimation of population of parameters. Biometrica 40:237-264. [Google Scholar]
- 22.Grasby, S. E., C. C. Allen, T. G. Longazo, J. T. Lisle, D. W. Griffin, and B. Beauchamp. 2003. Supraglacial sulfur springs and associated biological activity in the Canadian high arctic—signs of life beneath the ice. Astrobiology 3:583-596. [DOI] [PubMed] [Google Scholar]
- 23.Grasby, S. E., and K. L. Londry. 2007. Biogeochemistry of hypersaline springs supporting a mid-continent marine ecosystem: an analogue for Martian springs? Astrobiology 7:662-683. [DOI] [PubMed] [Google Scholar]
- 24.Hu, Y., H. Du, N. Jiao, and Y. Zeng. 2006. Abundant presence of the gamma-like proteobacterial pufM gene in oxic seawater. FEMS Microbiol. Lett. 263:200-206. [DOI] [PubMed] [Google Scholar]
- 25.Hurley, M. A., and M. E. Roscoe. 1983. Automated statistical analysis of microbial enumeration by dilution series. J. Appl. Bacteriol. 55:159-164. [Google Scholar]
- 26.Joint, I., A. Pomroy, G. Savidge, and P. Boyd. 1993. Sizefractionated primary productivity in the northeast Atlantic in May-June 1989. Deep-Sea Res. Part II 40:423-440. [Google Scholar]
- 27.Junge, K., F. Imhoff, T. Staley, and J. W. Deming. 2002. Phylogenetic diversity of numerically important Arctic sea-ice bacteria cultured at subzero temperature. Microb. Ecol. 43:315-328. [DOI] [PubMed] [Google Scholar]
- 28.Karl, D. C. W., and H. Jannasch. 1980. Deep-sea primary production at the Galapagos hydrothermal vents. Science 207:1345-1347. [Google Scholar]
- 29.Kepkay, P., R. Cooke, and J. Novitsky. 1979. Microbial autotrophy: a primary source of organic carbon in marine sediments. Science 204:68-69. [DOI] [PubMed] [Google Scholar]
- 30.Knoblauch, C., K. Sahm, and B. B. Jorgensen. 1999. Psychrophilic sulfate-reducing bacteria isolated from permanently cold Arctic marine sediments: description of Desulfofrigus oceanense gen. nov., sp. nov., Desulfofrigus fragile sp. nov., Desulfofaba gelida gen. nov., sp. nov., Desulfotalea psychrophila gen. nov., sp. nov. and Desulfotalea arctica sp. nov. Int. J. Syst. Bacteriol. 49:1631-1643. [DOI] [PubMed] [Google Scholar]
- 31.Mason, J., and D. P. Kelly. 1988. Thiosulfate oxidation by obligately heterotrophic bacteria. Microb. Ecol. 15:123-134. [DOI] [PubMed] [Google Scholar]
- 32.Mikucki, J. A., and J. C. Priscu. 2007. Bacterial diversity associated with Blood Falls, a subglacial outflow from the Taylor Glacier, Antarctica. Appl. Environ. Microbiol. 73:4029-4039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Moissl, C., C. Rudolph, and R. Huber. 2002. Natural communities of novel Archaea and Bacteria with a string-of-pearls-like morphology: molecular analysis of the bacterial partners. Appl. Environ. Microbiol. 68:933-937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Omelon, C. R., W. H. Pollard, and D. T. Andersen. 2006. A geochemical evaluation of perennial spring activity and associated mineral precipitates at Expedition Fjord, Axel Heiberg Island, Canadian High Arctic. Appl. Geochem. 21:1-15. [Google Scholar]
- 35.Orphan, V., C. House, K. Hinrichs, K. McKeegan, and E. DeLong. 2001. Methane-consuming archaea revealed by directly coupled isotopic and phylogenetic analysis. Science 293:484-487. [DOI] [PubMed] [Google Scholar]
- 36.Perreault, N. N., D. T. Andersen, W. H. Pollard, C. W. Greer, and L. G. Whyte. 2007. Characterization of the prokaryotic diversity in cold saline perennial springs of the Canadian high Arctic. Appl. Environ. Microbiol. 73:1532-1543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Petri, R., L. Podgorsek, and J. F. Imhoff. 2001. Phylogeny and distribution of the soxB gene among thiosulfate-oxidizing bacteria. FEMS Microbiol. Lett. 197:171-178. [DOI] [PubMed] [Google Scholar]
- 38.Pollard, W., C. Omelon, D. Andersen, and C. McKay. 1999. Perennial spring occurrence in the Expedition Fiord area of western Axel Heiberg Island, Canadian High Arctic. Can. J. Earth Sci. 36:105-120. [Google Scholar]
- 39.Postgate, J. 1984. The sulphate-reducing bacteria, 2nd ed. Cambridge University Press, Cambridge, United Kingdom.
- 40.Purdy, K. J., D. B. Nedwell, and T. M. Embley. 2003. Analysis of the sulfate-reducing bacterial and methanogenic archaeal populations in contrasting Antarctic sediments. Appl. Environ. Microbiol. 69:3181-3191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ravenschlag, K., K. Sahm, and R. Amann. 2001. Quantitative molecular analysis of the microbial community in marine arctic sediments (Svalbard). Appl. Environ. Microbiol. 67:387-395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ravot, G., M. Magot, M. L. Fardeau, B. K. C. Patel, P. Thomas, J. L. Garcia, and B. Ollivier. 1999. Fusibacter paucivorans gen. nov., sp. nov., an anaerobic, thiosulfate-reducing bacterium from an oil-producing well. Int. J. Syst. Bacteriol. 49:1141-1147. [DOI] [PubMed] [Google Scholar]
- 43.Reasoner, D., and E. Geldreich. 1985. A new medium for enumeration and subculture of bacteria from potable water. Appl. Environ. Microbiol. 49:1-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Reysenbach, A. L., G. S. Wickham, and N. R. Pace. 1994. Phylogenetic analysis of the hyperthermophilic pink filament community in Octopus Spring, Yellowstone National Park. Appl. Environ. Microbiol. 60:2113-2119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sarbu, S. M., T. C. Kane, and B. K. Kinkle. 1996. A chemoautotrophically based cave ecosystem. Science 272:1953-1955. [DOI] [PubMed] [Google Scholar]
- 46.Sass, A. M., H. Sass, M. J. Coolen, H. Cypionka, and J. Overmann. 2001. Microbial communities in the chemocline of a hypersaline deep-sea basin (Urania basin, Mediterranean Sea). Appl. Environ. Microbiol. 67:5392-5402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Shivaji, S., P. Gupta, P. Chaturvedi, K. Suresh, and D. Delille. 2005. Marinobacter maritimus sp. nov., a psychrotolerant strain isolated from sea water off the subantarctic Kerguelen islands. Int. J. Syst. Evol. Microbiol. 55:1453-1456. [DOI] [PubMed] [Google Scholar]
- 48.Staley, J. T., and J. J. Gosink. 1999. Poles apart: biodiversity and biogeography of sea ice bacteria. Annu. Rev. Microbiol. 53:189-215. [DOI] [PubMed] [Google Scholar]
- 49.Steven, B., G. Briggs, C. P. McKay, W. H. Pollard, C. W. Greer, and L. G. Whyte. 2007. Characterization of the microbial diversity in a permafrost sample from the Canadian high Arctic using culture-dependent and culture-independent methods. FEMS Microbiol. Ecol. 59:513-523. [DOI] [PubMed] [Google Scholar]
- 50.St-Jean, G. 2003. Automated quantitative and isotopic (13C) analysis of dissolved inorganic carbon and dissolved organic carbon in continuous-flow using a total organic carbon analyser. Rapid Commun. Mass Spectrom. 17:418-428. [DOI] [PubMed] [Google Scholar]
- 51.Ward, J., G. Slater, D. Moser, L.-H. Lin, G. Lacrampe-Couloume, A. Bonin, M. Davidson, J. Hall, B. Mislowack, R. Bellamy, T. Onstott, and B. Sherwood Lollar. 2004. Microbial hydrocarbon gases in the Witwatersrand Basin, South Africa: implications for the deep biosphere. Geochim. Cosmochim. Acta 68:3239-3250. [Google Scholar]
- 52.Whiticar, M. 1999. Carbon and hydrogen isotope systematics of bacterial formation and oxidation of methane. Chem. Geol. 161:291-314. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.


