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Applied and Environmental Microbiology, February 2007, p. 1041-1048, Vol. 73, No. 4
0099-2240/07/$08.00+0 doi:10.1128/AEM.01654-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
,
B. Song,2
A. G. Gault,1
D. A. Polya,1 and
J. R. Lloyd1*
Williamson Research Centre for Molecular Environmental Science, School of Earth, Atmospheric and Environmental Sciences, University of Manchester, Manchester M13 9PL, United Kingdom,1 Center for Marine Science, University of North Carolina Wilmington, 5600 Marvin K. Moss Lane, Wilmington, North Carolina 284092
Received 17 July 2006/ Accepted 3 November 2006
| ABSTRACT |
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| INTRODUCTION |
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The mechanism of arsenic release from aquifer sediments has been a topic of intense academic debate (2, 22, 26, 33, 43). However, a consensus is developing around the concept of microbially mediated release of arsenic from sediment-bound hydrated ferric oxides as the dominant mechanism of mobilization into groundwater systems of the Ganges Delta (2, 12, 13). These microbial processes may be sustained by predominantly sedimentary organic matter (23) but also influenced by organic matter more recently introduced into surface-derived waters that can percolate into the aquifer (10). Although the precise mechanism of arsenic mobilization remains to be characterized in detail, respiration of sorbed As(V) by dissimilatory As(V)-reducing prokaryotes may play a role, resulting in the formation of potentially more mobile As(III) (25). Dissimilatory As(V)-respiring prokaryotes comprise a diverse phylogenetic group, including Chrysiogenes, Bacillus, Desulfomicrobium, Sulfurospirillum, Shewanella, Citrobacter, and Sulfurihydrogenibium species (25). Although the ability to respire As(V) is spread across several phylogenetic groups, the mechanism of As(V) reduction in these organisms seems to be conserved. The first respiratory As(V) reductase, a periplasmic dimer (87- and 29-kDa subunits) of the dimethyl sulfoxide family of mononuclear molybdenum-containing enzymes, was characterized for Chrysiogenes arsenatis (15) and more recently for Bacillus selenitireducens (1) and Shewanella strain ANA-3 (1). The conserved nature of the characterized respiratory As(V) reductase genes has since been exploited to develop PCR primers (for examples, see Table S1 in the supplemental material). Despite the potential importance of dissimilatory As(V)-reducing prokaryotes in controlling arsenic mobility in the subsurface, there have been no systematic studies of the diversity and activity of these organisms in Southeastern Asian aquifer sediments.
The aim of this study was to use a suite of molecular techniques to identify As(V)-respiring bacteria and their corresponding respiratory As(V) reductase genes in sediments collected from a Cambodian aquifer with elevated aqueous arsenic concentrations. These organisms were stimulated under anaerobic conditions in laboratory microcosms by the addition of acetate as a proxy for organic matter, conditions that have been shown previously to support enhanced rates of arsenic mobilization in analogous sediments from West Bengal (13). The use of stable isotope-labeled [13C]acetate in these experiments and the subsequent isolation of 13C-labeled nucleic acids from the metabolically active fraction of the sediment microbial community allowed the detailed characterization of bacteria coupling acetate oxidization to As(V) reduction. In order to examine the diversity of As(V)-respiring bacteria, a suite of PCR primers were used to amplify 16S rRNA genes and the
-subunit of dissimilatory As(V) reductase genes. This is the first report describing As(V)-respiring bacteria and their corresponding genes in Southeast Asian aquifer sediments and among the first studies to use stable isotope probing (SIP) to dissect a sediment biogeochemical process.
| MATERIALS AND METHODS |
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Three sets of three replicate microcosms were constructed for treatment by combining 20 g of sediment (21% ± 0.4% standard error [SE] water content [wt/vol]) with 40 ml artificial groundwater (MgCl2, 0.34 mM; KH2PO4, 0.01 mM; NaHCO3, 0.51 mM; K2CO3, 0.025 mM; MgSO4, 0.03 mM; KNO3, 0.001 mM; and CaCO3, 1.85 mM; pH 7) in 100-ml serum bottles sealed with butyl rubber stoppers under an N2 atmosphere. Treatments consisted of (i) control treatment, no amendment; (ii) experimental treatment, augmented with 10 mM uniformly labeled [13C]sodium acetate (Sigma-Aldrich, United Kingdom); and (iii) experimental treatment, augmented with 10 mM uniformly labeled [13C]sodium acetate and 10 mM sodium arsenate. The effect of acetate concentration (0, 5, 10, 20, 50, or 100 mM) on nucleic acid yield was also investigated using the same microcosm design. All treatments were incubated in the dark at 20°C.
Analytical techniques.
Sediment slurry (4 ml) was removed prior to the introduction of the Na acetate (0 days) and then after 4, 8, 12, 16, 20, and 30 days of incubation. Fe(II) concentrations were measured spectrophotometrically using the method of Lovley and Phillips (17). Briefly, sediment slurry (100 µl) was added to 4.9 ml HCl (0.5 M) and incubated at room temperature (
20°C, 1 h). Aliquots of this mixture (50 µl) were added to a ferrozine solution (2 mM ferrozine, 5 mM HEPES; pH 7.0) and incubated at room temperature (
20°C, 30 s) before the concentration of Fe(II) was measured at 562 nm for comparison to a standard curve prepared with known concentrations of Fe(II) (as ferrous ethylene diammonium sulfate). Acetate was quantified using ion chromatography. An aliquot of sediment suspension (2 ml) was centrifuged (5,600 x g, 3 min) and the supernatant filtered with a 0.45-µm PTFE membrane filter (Whatman, United Kingdom). Concentrations of acetate within the solution were measured using a Dionex DX-120 IC separation center and a Dionex AS-11HC anion-exchange column, with a mobile phase comprising 20 mM NaOH. Samples (200 µl) were injected for analysis at a flow rate of 1.3 ml min1. Total aqueous arsenic concentrations were measured using inductively coupled plasma optical emission spectroscopy (Horizon; VG-Elemental). The oxidation state of arsenic within the microcosms was assessed using X-ray adsorption near edge structure (XANES) spectroscopy at the K-edge using station 16.5 at the CCLRC Daresbury Laboratory, as previously detailed by Rowland et al. (30).
Isolation of soil RNA and DNA.
Sediment samples (2 g) were removed and stored at 80°C until required for analysis. Sediment DNA was extracted using an Ultraclean soil DNA isolation kit (Mol Bio Labs) according to the manufacturer's instructions. Soil RNA was extracted selectively using the modified method of Griffiths et al. (9), excluding cetyltrimethylammonium bromide (CTAB) from the buffer solution. Extracted nucleic acids were resuspended in sterile, nuclease-free water and stored at 80°C until required for analysis.
PCR regimens.
Various PCR regimens were undertaken in order to characterize bacterial diversity and identify the key organisms present within individual sediment microcosms (see Table S1 in the supplemental material). To characterize the dominant groups of bacteria, a conserved region of the 16S rRNA gene was amplified by PCR using the universal bacterial primers 8Forward and 519Reverse (11). PCR products were purified using a QIAQuick purification kit (QIAGEN Ltd., Crawley, United Kingdom) and cloned into a pCR2.1 vector by using a TA cloning kit (Invitrogen Ltd., Paisley, United Kingdom) and competent Escherichia coli cells (One Shot TOP10; Invitrogen Ltd.) according to the manufacturer's instructions. Recombinant clones were selected by antibiotic (ampicillin) resistance (carried within the vector) and blue/white colony screening before the presence of the 16S rRNA gene fragment was verified by PCR and agarose gel electrophoresis.
Clones were separated into operational taxonomic units (OTUs) based upon the similarity of restriction fragment length polymorphism profiles. PCR products were incubated (16 h, 37°C) with the restriction endonucleases Sau3AI and MspI (0.1 U µl1; Roche Products Ltd., Welwyn Garden City, United Kingdom) and digested fragments imaged following electrophoresis with agarose gels, stained with ethidium bromide. The nucleotide sequences of each OTU were determined by the dideoxynucleotide method, utilizing an ABI Prism BigDye terminator cycle sequencing kit in combination with an ABI Prism 877 integrated thermal cycler and an ABI Prism 377 DNA sequencer (Perkin Elmer Applied Biosystems, Warrington, United Kingdom).
Changes in the diversity of the bacterial community were assessed using denaturing gradient gel electrophoresis (DGGE). The primers GC338Forward and 530Reverse targeted a smaller region of the same conserved 16S rRNA gene, while the GC-clamped product facilitated community analysis via DGGE, according to the method of van der Gast et al. (42). PCR samples (20 µl) were loaded onto a 10% (wt/vol) polyacrylamide gel with a 40 to 60% denaturing gradient in 0.5%x Tris-acetate-EDTA buffer (pH 8.3). Electrophoresis was undertaken for 16 h at 60°C, and a constant voltage of 100 V was applied using a SciPlas denaturing gradient CDC unit (Wolf Laboratories Ltd., York, United Kingdom). Gels were stained (20 min) in 0.5x Tris-acetate-EDTA buffer containing 2 mg ml1 SYBR gold (Molecular Probes Inc., OR) and imaged under short-wave UV light. DGGE profiles of sequenced clone fragments were compared to those of mixed microbial communities to facilitate species identification.
Various arsenate-reducing bacteria have been identified previously (25). Primers targeting the functional genes involved in either the bacterial respiration of As(V) (arrA) or resistance to As(V) (arsC) are listed in Table S1 in the supplemental material. PCR was completed by observing published, optimized amplification procedures (20, 38). Nested primers AS1F, AS1R, and AS2F were designed (B. Song et al., unpublished) by comparing conserved regions in the arrA genes from Bacillus selenitireducens, Chrysiogenes arsenatis, Shewanella sp. strain ANA-3, Desulfitobacterium hafniense DCB-2, and Wolinella succinogenes. The first PCR was performed with AS1F and AS1R primers by using a 5-min denaturation step at 94°C, followed by 35 cycles of a 30-s denaturation at 94°C, primer annealing of 30 s at 50°C, and a 1-min extension at 72°C. The second PCR amplification was performed with AS2F and AS1R primers and using the first PCR as templates. The second PCR cycle began with a 2-min denaturation step at 94°C, followed by 30 cycles of a 30-s denaturation at 94°C, primer annealing of 30 s at 55°C, and a 1-min extension at 72°C. The presence of all amplification products was verified by electrophoresis with 1% agarose gels, stained with ethidium bromide.
Stable isotope probing of nucleic acids.
The incorporation of a stable-isotope-labeled substrate (i.e., [13C]sodium acetate) into cellular biomarkers, including nucleic acids, enables substrate-assimilating organisms to be identified via SIP (5, 29). RNA SIP was used in conjunction with DNA SIP, as the greater turnover of RNA within biological cells creates a more responsive biomarker (21) during the early phase of experimental incubation (4 days). DNA SIP was utilized to assess later stages of the incubations (16 days), where a lower rate of turnover is beneficial to prevent the bias of cross-feeding (the secondary use of 13C by organisms utilizing assimilated 13C rather than the labeled acetate).
To confirm that nucleic acids had incorporated 13C, the standard nucleic acid fraction was separated from the higher-density fractions (containing 13C) by equilibrium (isopycnic) density gradient centrifugation, as described by Manefield et al. (21). Briefly, nucleic acids (500 ng) were combined with 5.1 ml cesium trifluoracetate and 166 µl deionized formamide to achieve a solution density of 1.71 or 1.8 g ml1 for DNA or RNA, respectively, before being loaded into polyallomer bell top quick-seal centrifuge tubes (Beckman Instruments UK, High Wycombe, United Kingdom), which were heat sealed. Samples were then centrifuged (140,000 x g, 36 h, 20°C) (Optima TLX ultracentrifuge; Beckman Instruments UK).
Gradients were fractionated by displacement with water by using a peristaltic pump (205 U; Watson-Marlow Bredel, United Kingdom) at a flow rate of 3.3 µl s1, collecting fractions from the pierced base of the tube. A density gradient profile was created by weighing known volumes of the solution on a bench-top balance. RNA was precipitated from the solution with 0.6 volumes of isopropanol and centrifuged at 5,600 x g for 10 min. The pellet was washed in ethanol (20°C) and allowed to air dry before being resuspended in nuclease-free water. Fractions determined to contain predominantly unlabeled or labeled nucleic acids are referred to as light and heavy fractions, respectively.
Reverse transcription.
RNA samples were treated with DNase (RQ1 RNase-free DNase; Promega, WI) to remove genomic DNA contamination. cDNA was synthesized using the treated RNA samples and the necessary reverse primers (see Table S1 in the supplemental material) with an avian myeloblastosis virus reverse transcriptase (Promega) according to the manufacturer's instructions. PCRs were undertaken to amplify the 16S rRNA and arrA genes from the cDNA using the primers listed in Table S1 in the supplemental material. The light and heavy fractions of RNA were successfully separated using isopycnic centrifugation, appearing within two separate gradient zones, as observed by agarose gel electrophoresis of the PCR product. Fragments were cloned and sequenced and the bacterial diversity attained from the RNA SIP methodology compared to that achieved from extracted DNA. All samples included control reactions with avian myeloblastosis virus excluded from the transcription procedure; no products were obtained.
Statistical analysis.
Sequences were analyzed against the NCBI BLAST database to find the most closely matched known gene sequences. Sequences were aligned using the ClustalX v1.8 (40) software package and corrected manually. Phylogenetic distance analysis was performed using the TREECON package (41), employing the Jukes and Cantor correction and bootstrap resampling process, and dendrograms constructed from the matrix via neighbor joining (32). Phylogenetic analysis for translated amino acid sequences of the arrA genes was performed using PAUP 4.0.
XANES data (four scans per sample) were corrected using background subtraction and summed using the Daresbury programs EXCALIB and EXBACK (8). XANES spectra were fitted using the Daresbury laboratory program LINCOM (http://srs.dl.ac.uk/XRS/index.html). t tests were performed as applicable to the data set, using two sets of paired means or nonpaired samples assuming equal variance.
Nucleotide sequence accession numbers.
The 36 sequences obtained in this study have been deposited in the GenBank database under accession no. EF014909 to EF014944.
| RESULTS |
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0.05) (data not shown).
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Arsenic speciation was monitored using XANES (Fig. 1c), revealing the initial distribution of arsenic to be 35% As(V) (unamended control) but to progress to 55% over the duration of the study. The proportion of As(V) was expectedly far higher within the As(V)-amended sediment (90%; 0 days). Nevertheless, by the end of the study (30 days), most (80 to 90%) was present as the reduced As(III), as was also noted within experimental treatments amended solely with acetate [10% as As(V)].
Molecular analysis of microcosm bacterial communities.
Concentrations of extractable rRNA appeared low within the sediment (0 days), assessed using agarose gel electrophoresis of total nucleic acids (data not shown). However, with the addition of 10 mM acetate, quantities of rRNA increased within 3 days (data not shown), indicating that the microbial community was rapidly able to assimilate this new source of carbon. The same rapid increase in extractable rRNA was not observed with the further addition of 10 mM sodium arsenate, giving further support to the hypothesis that the metalloid was inhibitory to overall microbial activity.
Nucleic acid stable isotope probing.
Light and heavy fractions of both DNA and RNA were successfully separated using isopycnic centrifugation, being present mainly within fractions exhibiting buoyant densities of 1.790 and 1.805 g ml1 for RNA and 1.705 and 1.760 g ml1 for DNA (data not shown), respectively. Although it is not possible to completely separate light and heavy fractions (18), there was no visible evidence of RNA (or rather PCR product, following reverse transcription-PCR) in gradient fractions between these samples. Separation was less distinct for the DNA gradient fractions.
Bacterial community diversity.
Analysis of 16S rRNA genes present within the initial (0 days) microbial community revealed a varied consortium comprised primarily of the ß-proteobacteria (63%) (Fig. 2) (based on OTU abundance), dominated by strains related to the genera Acidovorax (15%) and Comamonadaceae (15%) (clones GL_ARS2 and GL_ARS3, respectively [see Table S2 in the supplemental material]). The examination of 16S rRNA templates revealed a slightly less varied consortium (Fig. 3), similarly comprised mainly of ß-proteobacteria, but with
-proteobacteria also prevalent (48 and 38% of the cloned community, respectively). Analysis of sediment rRNA showed the active microbial community to be dominated by strains related to Novosphingobium capsulatum (25%; clone GL_ARS1) and Acidovorax sp. strain JS42 (17%; clone GL_ARS2). Included in the rRNA library were strains linked to the reduction of Fe(III) (clone GL_ARS15, 2%; related to Geobacter sp. [see Table S2 in the supplemental material]; not isolated from sediment DNA) and the oxidation of ammonia (clone GL_ARS3, related to Nitrosospira sp. strain NSp 17, 11%; also comprising 2.5% of the extracted DNA).
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DNA SIP was undertaken on the samples after 16 days, as As(V) was rapidly transformed to As(III) within the amended microcosms after this time (Fig. 1c). After 16 days, as perhaps would be expected given the dominance of the ß-proteobacteria within the sediment 16S rRNA template (4 days), the addition of acetate increased the proportion of clones related to this phylum represented within the labeled DNA to 82% within the acetate only-amended treatments, again dominated by organisms related to the family Comamonadaceae (79%). Absent from the labeled fraction but present in the unlabeled DNA were sequences related to Fe(III)-reducing members of the genus Geobacter (10%; clone GL_ARS15). A smaller contingent of clones associated with the dissimilatory As(V)-reducing bacterium (24) Desulfotomaculum auripigmentum (2%; clone GL_ARS18, GenBank accession no. EF014942, 97% identity, 505 bp) and Desulfosporosinus sp. strain P3 (2%; clone GL_ARS19, GenBank accession no. EF014943, only 93% identity, 291 bp) were also detected. The proportion of clone GL_ARS18 was further increased within the As(V)-enriched sediment, comprising 13% of the unlabeled fraction.
When also incubated with 10 mM As(V), clones related to the As(V)-respiring
-proteobacterium Sulfurospirillum sp. strain NP-4 (clone GL_GLY16) became a significant component of the sediment microbial community, detected solely within the labeled DNA fraction (13% of clones). Sulfurospirillum sp. strain NP-4 is closely related to the bacterium Sulfurospirillum deleyianum, which is similarly known to respire through the dissimilatory reduction of As(V) (25). Clones related to Sulfurospirillum sp. strain NP-4 were observed solely within As(V)-amended microcosms.
Although both communities continued to be dominated by ß-proteobacteria after incubation with acetate (30 days), significant differences were apparent in microbial community composition between microcosms with and without amendment of 10 mM As(V). Microbial diversity appeared to be greater in the non-As(V)-amended sediments where the community was dominated by relatives of Aquaspirillum delicatum (30%; clone GL_GLY9) but also included a large percentage of clones related to the family Geobacteraceae (21%; clone GL_ARS15), a member of the group of
-proteobacteria. No clones closely related to Geobacter species were detected from sediments incubated with 10 mM As(V). Here, the microbial community was once again dominated (29%) by members associated with the family Comamonadaceae (namely, isolate PIV-8-1; clone GL_ARS4) but also the As(V)-respiring
-proteobacterium Sulfurospirillum sp. strain NP-4 (19%; clone GL_GLY16) and members of the genus Acidovorax (16%; clone GL_ARS2).
Analysis of the sediment microbial community by DGGE revealed that five main bands dominated microcosms incubated with additional acetate and As(V). The dominant species constituting each band were assigned by comparison of these bands with profiles obtained from cloned and sequenced 16S rRNA gene fragments, previously isolated from the community. Where different clones generated similar banding patterns, it was assumed that the most prevalent clone (based on number of OTUs) contributed most to the intensity of the DGGE band. One new band appeared within the arsenic-enriched sediments after 16 days (Fig. 4), and it appeared to correspond to an increase in the proportion of organisms related to Desulfomicrobium BS16 (clone GL_GLY15) within the microcosms over time. Bands which appeared to represent the increase in number of clone GL_GLY16 (related to Sulfurospirillum strain NP-4) were further observed. The band appearing on day 8 may be caused by heterogeneity in the sample, for example, localized microcolony development, prior to the establishment of bacterium GL_GLY16 as a significant component of the sediment microbial community.
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| DISCUSSION |
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Similarities in microbial community composition of the acetate-enriched sediment were apparent between the present study and the comparable experiment undertaken by Rowland et al. (31), with the dominance of ß-proteobacteria and including a large proportion of
-proteobacteria affiliated with the family Geobacteraceae. These bacteria are known to respire through the dissimilatory reduction of Fe(III), which is present at significant concentrations in the sediments, but are not thought to mobilize arsenic (14), although at least one Geobacter species (G. uraniumreducens) may harbor the genes for arsenic respiration (C. W. Saltikov, personal communication). Interestingly, As(V) reductase genes affiliated with genes from this sequenced organism were detected in microcosms supplemented with acetate and arsenate. In addition, several bacteria known to respire using arsenic and their As(V) reductase genes were detected in this study. Clone DNA closely matched to Desulfotomaculum auripigmentum (97% match;
500 bp) and Sulfurospirillum sp. strain NP-4 (100% match;
500 bp) was present after 16 days, suggesting that naturally occurring dissimilatory As(V)-reducing bacteria increased in number/activity within the sediment microcosms. Matches also suggested the presence of members related to the genera Desulfosporosinus (94% match;
500 bp) and Desulfomicrobium (98% match;
500 bp), similarly known to include dissimilatory As(V)-respiring bacteria, although in common with Desulfotomaculum auripigmentum these organisms can also respire using sulfate as an electron acceptor, which was noted in the groundwater at the sampling site at concentrations of about 10 ppm (0.1 mM). That such strains were not detected within the original sediment (0 or 4 days) suggests they were selectively enriched from a previously low background contingent, which was further supported by DGGE profiling. Genes associated with D. auripigmentum were detected only within sediment enriched solely with acetate, while clones related to Sulfurospirillum sp. strain NP-4 were identified only from sediment also enriched with 10 mM As(V). This indicates that such organisms may be more tolerant to higher concentrations of arsenic within As(V)-amended microcosms or may gain selective advantage from arsenate respiration.
No clones closely related to Desulfotomaculum (or Desulfosporosinus) species were detected within the labeled DNA fractions. This is perhaps consistent with the findings of Newman et al. (24), who determined that D. auripigmentum was unable to utilize acetate as a sole electron donor, a suggested characteristic of As(V)-respiring bacteria (19), including Sulfurospirillum sp. strain NP-4 (44). However, close relatives Sulfurospirillum arsenophilum strain MIT-13 and S. barnesii strain SES-3 have been observed to utilize acetate as a source of carbon (35) in the presence of other electron donors, including hydrogen. The variant of Sulfurospirillum detected within this study increased proportionally over time to become a dominant member of the microbial community within just 30 days and was detected only within the labeled fraction of the sediment nucleic acids, demonstrating the utilization of acetate-derived 13C.
This study provides a unique insight into the direct influence of exogenous carbon sources on microbial diversity and arsenic speciation within sediments containing naturally elevated levels of arsenic and is among the first to use SIP within the complex environment of natural sediments. A direct link between inputs of carbon and the increased prevalence of organisms which actively convert As(V) to the potentially more mobile As(III) has been identified. An increase in the presence of genes associated with As(V) respiratory reductases suggests that these may provide a reliable marker for dissimilatory As(V) reduction within complex environmental communities. That these reductases have been shown to be comprised of acetate-derived 13C supports the hypothesis that inputs of exogenous organic matter can directly stimulate the growth and activity of bacteria capable of increasing the mobility of arsenic within naturally contaminated aquifer environments, such as those bordering the city of Phnom Penh, Cambodia. Indeed, recent studies of Bangladeshi sediments (10, 27) have suggested biogeochemical processes including the mobilization of arsenic to be driven by inflows of radiocarbon young carbon (e.g., with 14C signatures from bomb testing). Further research is now required to confirm the role of As(V)-respiring prokaryotes, such as those detected in this study, in mobilizing arsenic within aquifers in situ and to understand the factors that control their metabolism in aquifers, including critical biogeochemical controls on the delivery of electron donors and other limiting nutrients.
| ACKNOWLEDGMENTS |
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XANES analysis was carried out under CCLRC Daresbury beamtime awards 42/217, 43/322, and 44/258 to D.A.P. and A.G.G. We thank Bob Bilsborrow and John Charnock (CCLRC Daresbury) for assistance with XANES data acquisition and analysis, Paul Lythgoe and Alastair Bewsher for chemical analysis, and Vibol Long, Richard Pattrick, Helen Rowland, Roy Wogelius, and Som Yen for assistance with the drilling for and the collection of samples in the field.
| FOOTNOTES |
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Published ahead of print on 17 November 2006. ![]()
Supplemental material for this article may be found at http://aem.asm.org/. ![]()
Present address: School of Biological Sciences, The University of Auckland, Private Bag 92-019, Auckland, New Zealand. ![]()
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