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Applied and Environmental Microbiology, April 2002, p. 1516-1523, Vol. 68, No. 4
0099-2240/02/$04.00+0 DOI: 10.1128/AEM.68.4.1516-1523.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.
Institute of Terrestrial Ecol., Swiss Federal Institute of Technology Zürich, CH-8952 Schlieren,1 Geological Institute, Swiss Federal Institute of Technology Zürich, CH-8092 Zürich, Switzerland2
Received 21 September 2001/ Accepted 25 January 2002
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During the degradation of PHC, low-molecular-weight organic acids such as acetate, propionate, and butyrate are intermediates (11), which in turn may serve as carbon sources for SRB. Unfortunately, little is known about the role that such low-molecular-weight organic acids may play in the community pathway of PHC degradation in contaminated aquifers. In marine sediments, organic acids derived primarily from fermentation serve as the SRB's main carbon source (33, 45). Numerous studies have shown that all SRB genera preferentially degrade certain organic acids and cannot degrade others (19, 24, 50-52). Only a few SRB genera are known to readily degrade a wide range of organic acids; e.g., Desulforhabdus amnigenus is able to consume lactate, acetate, butyrate, and propionate (14). In general, lactate seems to be the most generic carbon source for SRB.
In the laboratory, microbial SO42- reduction was investigated by using batch and column studies (13, 20, 37, 48). However, over the last decade it has become increasingly apparent that an accurate assessment of SO42- reduction in aquifers requires appropriate in situ test methods (17, 26, 27). Recently, single-well "push-pull" tests (PPTs) have been used for the in situ quantification of microbial activities in PHC-contaminated aquifers (21, 36, 41). In a PPT, a test solution that contains a nonreactive, conservative tracer and one or more reactive solutes (reactants) is injected (pushed) into the aquifer through an existing well. During an initial incubation period (i.e., a rest phase without pumping), indigenous microorganisms ideally consume reactants and generate metabolic products. Thereafter, the test solution-groundwater mixture is extracted (pulled) from the same location, and the concentrations of tracer, reactants, and products are analyzed. Rates of microbial activities are then determined by comparing the breakthrough curves of tracer and reactants (18, 44).
Recently, we successfully employed PPTs to quantify microbial SO42- reduction concomitant with PHC degradation in a contaminated aquifer (42). Stable sulfur isotope fractionation in extracted, unconsumed SO42- during those tests provided strong evidence that SO42- reduction was microbially mediated.
To our knowledge, no study has been published specifically addressing the diversity of SRB in PHC-contaminated aquifers. Nevertheless, this information is essential for our understanding of the biogeochemical processes that are intimately linked to bacterial diversity. Direct information on SRB communities may be obtained by using laboratory molecular methods such as fluorescence in situ hybridization (FISH) (4) and PCR with subsequent denaturing gradient gel electrophoresis (DGGE) (30). These methods have been used previously to investigate SRB communities in marine sediments (12), seawater (47), and anaerobic bioreactors (49).
Unfortunately, we do not know whether the introduction of reactants during PPTs changes the microbial community in the subsurface. If it does, rate coefficients determined by using this method may not reflect the activities of the native community. Analysis of the suspended population during a PPT may provide some information on this issue, even though suspended and attached populations may be dissimilar (1).
The purpose of this research was to assess SRB diversity in a PHC-contaminated aquifer by using macroscopic measurements of activities as well as molecular analyses. We quantified carbon source (acetate, propionate, butyrate, and lactate) -enhanced microbial SO42- reduction by using PPTs and related SO42- and carbon source consumption to the presence of certain SRB genera. These findings were compared with results from molecular analyses (FISH and PCR-DGGE), which we used to assess suspended SRB diversity and to monitor population changes of suspended bacteria during PPTs. Stable sulfur isotope analyses of extracted, unconsumed SO42- were used to determine isotope enrichment factors, which served as indicators of microbial SO42- reduction.
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1 m below the groundwater table. Groundwater in PS3 exhibited reduced conditions and contained up to 1 mg of dissolved PHC liter-1 (7). Previous studies have shown that PS3 is located within a transition zone where both SO42--reducing and methanogenic conditions are found (7, 8).
PPTs and sample collection procedures.
To quantify rates of microbial SO42- reduction concomitant with the degradation of either propionate, butyrate, lactate, or acetate, we performed four PPTs (PPTpr, PPTbu, PPTla, and PPTac, respectively) over a 6-month period from May to October 2000 in a fashion similar to that described by Schroth et al. (42). Test solutions were prepared by collecting groundwater in 500-liter plastic carboys and adding Br- (as KBr) as a nonreactive, conservative tracer and SO42- (as K2SO4) as a reactant to achieve final concentrations of
0.5 mM Br- and
1.0 mM SO42- (Table 1). As carbon sources, we added either propionate, butyrate, acetate (prepared from their respective sodium salts), or lactate (prepared from a 50% DL-sodium lactate solution) to achieve final concentrations of
2.0 mM. In all PPTs, the carboys were continuously sparged with nitrogen gas to minimize O2 dissolution from air into test solutions during preparation and subsequent injection.
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View this table: [in a new window] |
TABLE 1. Summary of experimental conditions during four PPTs performed to evaluate microbial SO42- reduction concomitant with carbon source degradation in a PHC-contaminated aquifer
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Water samples for chemical and biological analyses were obtained during the collection of groundwater in carboys (background concentrations), injection of test solutions (injection concentrations), and at regular intervals during the extraction phases of the PPTs. Specifically, samples for the analysis of Br-, SO42-, and organic acids were filtered in the field by using 0.45-µm polyvinylidene fluoride filters (Millipore, Bedford, Mass.) and stored in 12-ml plastic vials. Samples for the determination of CH4 concentrations were collected without headspace in 117-ml serum bottles by using butyl rubber stoppers. Samples for sulfur isotope measurements in unconsumed SO42- were collected in 1-liter glass bottles acidified with 2 ml of 32% HCl. All samples were stored at 4°C prior to analysis.
For total cell counts and FISH, 50 ml of unfiltered water was collected in sterile Falcon tubes. During PPTac, unfiltered water samples (250 ml each) were collected in sterilized glass bottles for use in subsequent PCR-DGGE analysis. All samples for biological analyses were immediately placed on ice until further processing in the laboratory.
Analytical methods.
Bromide, SO42-, and organic acid concentrations were determined by using a DX-320 ion chromatograph system equipped with an electrical conductivity detector and an EG40 eluent gradient generator (Dionex, Sunnyvale, Calif.). The following KOH eluent gradient was used: 0 to 7 min, 1 mM KOH; 7 to 25 min, 1 mM to 25 mM KOH; 25 to 28 min, 25 mM to 60 mM KOH; 28 to 28.1 min, 60 mM to 1 mM KOH; and 28.1 to 32 min, 1 mM KOH. Methane was quantified by using the headspace method described by Bolliger et al. (7).
Stable sulfur isotope measurements were conducted as described previously (42). Data are reported in the conventional
notation relative to the Vienna-Canyon Diabolo Troilite (V-CDT) standard by using:
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Determination of isotope enrichment factors.
Sulfur isotope fractionation was quantified by computing isotope enrichment factors
(in per mille). In a closed system, enrichment factors can be determined by fitting Rayleigh distillation equations to experimental data (29). Specifically, enrichment factors of extracted, unconsumed SO42- may be determined from measured
34S values by using (10):
![]() | (2) |
34S(SO42-)0 is the initial isotope composition of SO42- in the injected test solution. We corrected values of
34S(SO42-) to account for the isotope composition of background SO42- (by using Br- breakthrough data as a measure of dilution between test solutions and native groundwater).
Determination of first-order rate coefficients.
First-order rate coefficients for SO42- reduction and carbon source degradation were determined from SO42- and carbon source consumption by the method of Haggerty et al. (18). This method is based on an analysis of tracer and reactant transport in the diverging-converging radial flow field surrounding a monitoring well during a PPT. Assuming a first-order type reaction d Cr /d t = -k Cr, where Cr is the reactant concentration and t is the time, the rate coefficient k can be determined from (18):
![]() | (3) |
Calculation of stoichiometric ratios.
Theoretical stoichiometric ratios (moles of carbon source per mole of SO42-) for incomplete carbon source degradation (to acetate) may be obtained from the following reactions:
![]() | (4) |
![]() | (5) |
![]() | (6) |
![]() | (7) |
Actual stoichiometric ratios were calculated individually for each water sample by using measured concentrations of reactants and tracer. Alternatively, we calculated stoichiometric ratios from total masses recovered during the PPTs. In these calculations we assumed that added SO42- was used exclusively for the degradation of added carbon sources during the PPTs.
Cell counts and in situ hybridization.
Cell counts and FISH were performed on samples collected during PPTla and PPTac. Total cell counts were conducted by using 4',6'-diamidino-2-phenylindole (DAPI) staining (54). For in situ hybridization, we used the indocarbocyanine (Cy3)-labeled 16S rRNA oligonucleotide probes (all purchased from MWG Biotech, Ebersberg, Germany) EUB338 to target Bacteria (3), Arch915 (46) for Archaea, SRB385 (2) plus SRB385-Db (35) for SRB, DSV698 plus DSV1292 for Desulfovibrio, DSB985 for Desulfobacter, and probe 660 for Desulfobulbus (28). Water samples for DAPI and FISH counts were processed within a few hours after sampling by centrifugation at 2,500 x g for 5 min and resuspension of the debris or cell pellet in 1 ml of 4% paraformaldehyde in phosphate-buffered saline (130 mM NaCl, 7 mM Na2HPO4, 3 mM NaH2PO4).
Samples were further processed as described before (54); 20 µl from each fixed and dispersed sample was spotted onto ethanol-washed slides. Drying, hybridizations with oligonucleotide probes, DAPI staining and washing were performed under standard conditions (54). Formamide concentrations in the hybridization mix were 30% for probe EUB338, 20% for Arch915, SRB385, SRB385-Db, and DSB985, 35% for DSV698 and DSV1292, and 60% for probe 660. Sodium chloride concentrations in the wash buffer were 112 mM for probe EUB338, 250 mM for Arch915, SRB385, SRB385-Db, and DSB985, 88 mM for DSV698 and DSV1292, and 15.6 mM for probe 660. The slides were mounted, and visually detectable cells were counted (54). Counting results were corrected by subtracting autofluorescent cells.
DNA extraction and PCR-DGGE.
To concentrate suspended bacterial cells, groundwater (250 ml) was filtered through 0.22-µm polyvinylidene fluoride filters (Millipore, Bedford, Mass.), followed by storage of the filters in 1.5 ml of lysis buffer (50 mM Tris [pH 8], 50 mM EDTA, 50 mM NaCl) at -20°C. Following the addition of
0.7 g of glass beads (0.10 to 0.11 mm in diameter) to the lysis buffer or filters, DNA was extracted by bead beating in a FastPrep 120 (Savant Instruments, Inc., Holbrook, N.Y.) for 15 s at 4.5 m s-1. After brief centrifugation to settle the filter pieces, the buffer-DNA supernatant was transferred into a new tube, and the extraction of the filters was repeated with 0.5 ml of lysis buffer. Approximately 10 mg of lysozyme ml-1 was added to the combined buffer-DNA solutions, and the samples were incubated at room temperature for 10 min. Then 100 µl of sodium dodecyl sulfate (SDS) (20%) and 20 µl of proteinase K (100 µg ml-1) were added to each sample, followed by incubation for 30 min at 37°C and 10 min at 55°C. DNA was further purified by chloroform-phenol extraction and isopropanol precipitation (38), and resuspended in 100 µl of water. Further cleanup of the DNA was performed by using the QIAquick gel extraction kit (Qiagen AG, Basel, Switzerland). DNA was quantified by measuring absorbance at 260 nm and stored at -20°C.
PCR of partial 16S rRNA genes was performed by using two sets of primers. Primers UNIV 907 r-gc (5'-GC clamp-CCG TCA ATT CCT TTR AGT TT-3') and SRB 385-f (5'CCT GAC GCA GCG ACG CCG-3') (5) were used to amplify approximately 523 bp of the 16S rRNA gene from SRB as well as some gram-positive bacteria and other
-proteobacteria (39). A second set of primers, BAC 968 f-gc (5'-GC clamp-AAC GCG AAG AAC CTT AC-3') and BAC 1401 r (5'-CGG TGT GTA CAA GAC CC-3'), were used to amplify approximately 434 bp of the 16S rRNA gene sequence from most Bacteria (16). DGGE of PCR products was performed in a denaturing gradient of 30 to 55% at 200 V for 3 h as described previously (43). DNA banding patterns were digitized and photographed by using the GelDoc 2000 system and QuantityOne software (Bio-Rad Laboratories, Hercules, Calif.).
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FIG. 1. Extraction phase breakthrough curves for Br-, SO42-, propionate, butyrate, lactate, and acetate during (a) PPTpr, (b) PPTbu, (c) PPTla, and (d) PPTac.
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5 µM) in native groundwater from well PS3. During the extraction phases of all PPTs, we recovered 43% ± 7% (average ± standard deviation) of the injected Br- mass and 33% ± 5% of the injected SO42- mass (computed by integrating solute breakthrough curves shown in Fig. 1). Furthermore, 43% of propionate, 35% of butyrate, 39% of lactate, and 21% of acetate were recovered. Acetate was also detected during the extraction phase of PPTpr (Fig. 1a). Concentrations of acetate decreased linearly from 40 µM in the beginning to 10 µM at the end of PPTpr. In all other PPTs, no intermediate organic acids were detected. Methane concentrations were 0.48 ± 0.61 mM in native groundwater of well PS3 and 0.27 ± 0.19 mM in the injection solutions and remained essentially constant during all PPT extraction phases, with concentrations at 0.45 ± 0.26 mM (not shown).
Rate coefficients and stoichiometric ratios.
Computed values of k for SO42- reduction (ksulfate) were lowest for PPTbu and highest for PPTla and PPTpr (Table 2). Standard deviations ranged between 4.2 and 7.8% of the value of ksulfate. For carbon source degradation, k values were highest for PPTac and lowest for PPTla with intermediate values for PPTpr and PPTbu and standard deviations between 3.6 and 10.0% of the respective first-order rate coefficient.
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TABLE 2. First-order rate coefficients k, stoichiometric ratios for SO42- reduction concomitant with the degradation of carbon sources, and isotope enrichment factors during microbial SO42- reduction in four PPTs
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If we assume complete oxidation of the carbon sources by SRB, the stoichiometry of the reactions would indicate that SO42- reduction accounted for 41% ± 12% of degraded propionate, 25% ± 4% of the butyrate, 69% ± 11% of the lactate, and 29% ± 5% of the acetate. These numbers represent the minimum amount of carbon sources that were consumed by SRB when assuming that injected SO42- was used exclusively for degradation of these carbon sources. If we assume incomplete oxidation of the carbon sources by SRB, the stoichiometry of the reactions would indicate that SO42- reduction accounted for 96% ± 27% of the degraded propionate, 41% ± 7% of the butyrate, and 210% ± 33% of the lactate. Assimilation of carbon and sulfur by SRB was not taken into account in these calculations, since it was assumed to be low (51).
Isotope enrichment factors.
Sulfur isotope fractionation in unconsumed SO42- was observed during extraction phases of all PPTs. Values of
34S(SO42-) were 10.7
± 0.2
in test solutions [
34S(SO42-)0] and increased up to 20.4
± 5.0
on average during PPT extraction phases. Computed isotope enrichment factors (equation 2) ranged from 16.1
± 0.8
to 25.7
± 1.8
(Table 2).
Cell counts and in situ hybridization.
Total cell numbers in PPTla and PPTac (DAPI) ranged from 6.6 x 104 to 1.51 x 105 cells ml-1. Percentages of cells hybridizing with probe EUB338 ranged from 16 to 33% and with probe Arch915 from 27 to 44% of total (DAPI-stained) cells during PPTla (Fig. 2a) and PPTac (Fig. 2b). Probes SRB385 and SRB385-Db together detected between 11 and 24% of total cells (Fig. 2). In both PPTs, lower percentages of Bacteria and SRB were determined in the background than during extraction phases.
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FIG. 2. DAPI fractions of cells in (a) PPTla and (b) PPTac hybridizing with fluorescent probes. BG, background. Error bars indicate 1 standard deviation.
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PCR-DGGE.
DGGE of PCR products generated from both primer sets resulted in distinct profiles, which exhibited approximately eight dominant bands each and an underlying smear of DNA that represented nondominant phylotypes (Fig. 3). Apart from slight band intensity differences, little change could be detected between the DGGE profiles of DNA extracted from native groundwater from well PS3 (background) and samples taken during PPTac, regardless of the primer set used (as an example, profiles from the 1.0 extracted volume/injected volume sample are shown in Fig. 3).
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FIG. 3. DGGE profiles of DNA extracted from groundwater during PPTac, generated with (a) SRB and (b) EUB primer sets. BG, background; 1.0 = 1.0 extracted volume/injected volume sample.
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0.4 m day-1) at the site (42). Thus, during the PPTs, a significant portion of test solution migrated beyond the radius of influence of PS3. However, it is important to note that complete tracer mass recovery is not required during PPTs for an accurate quantification of rate coefficients (18). Sulfide and Fe(II) concentrations were routinely measured in all PPTs according to Schroth et al. (42). However, precipitation of these ions as FeS or FeCO3 obscures true sulfide and Fe(II) concentrations, rendering these data useless for quantification purposes.
Rate coefficients and stoichiometric ratios.
We determined values of ksulfate that were up to seven times higher than ksulfate values obtained from PPTs in the same location in which only SO42- was added (42). Therefore, addition of carbon sources in the current PPTs substantially enhanced microbial SO42- reduction in the vicinity of well PS3. Hence, the rate coefficients we measured do not represent indigenous conditions, even though they are within the range of values reported elsewhere in the literature (for a discussion, see Schroth et al. [42]). A variety of environmental factors may evoke variations of ksulfate between tests, e.g., groundwater temperature. However, in this case groundwater temperature variations cannot explain differences in ksulfate because the temperature varied only by ±1.3°C between tests (Table 1). Therefore, differences between ksulfate in the PPTs seemed to be due largely to distinct carbon source degradability. Hence, ksulfate values must be discussed in combination with rate coefficients for carbon sources (Fig. 4) and stoichiometries (Table 2).
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FIG. 4. First-order rate coefficients for SO42- reduction and carbon source degradation during PPTpr, PPTbu, PPTla, and PPTac. Error bars indicate 1 standard deviation.
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30% of total acetate degradation in PPTac. Therefore, most of the acetate was probably consumed by Archaea that were an important part of the suspended population (Fig. 2). Their activity was indicated by the presence of CH4. If we assume complete degradation of the carbon sources by SRB, the observed SO42- consumption would only account for a part of the total carbon source consumption during the PPTs. Therefore, incomplete degradation of propionate, butyrate, and lactate by SRB may have been a dominant degradation pathway (equations 4 to 6). Fermentation processes (acetogenesis) may also have been important for propionate, butyrate, and lactate degradation. For example, even when we assume incomplete degradation of butyrate by SRB, this only accounts for 41% of total butyrate degraded during PPTbu. Fermentation may well have been responsible for the missing 59% (23).
Isotope enrichment factors.
Enrichment factors computed for our tests (Table 2) were in the same range as those determined previously in the same aquifer during PPTs without carbon source addition (22.8
± 1.7
and 20.2
± 2.8
) (42). However, in this study, variations in
between tests were higher. Interestingly, our data also agreed with enrichment factors determined for a mixed, toluene-degrading, SO42--reducing batch culture for which the inoculum was collected from the same aquifer (19.8 to 28.2
) (9). Furthermore, enrichment factors agreed well with
values obtained by others for microbial SO42- reduction in different environments, and they were within a range that is indicative of microbial SO42- reduction (for a discussion, see Schroth et al. [42]). Thus, these data clearly suggest that observed SO42- consumption during the PPTs was microbially mediated.
In situ hybridization.
Numbers of suspended cells associated with the domain Bacteria (EUB338, 16 to 33%) during PPTla and PPTac were similar to Bacteria numbers determined in a previous study for the same aquifer (13 to 32%) (8). Archaea numbers, however, were higher (Arch915, 27 to 44% in our samples compared to 9 to 31% previously [8]). Counts of SRB (SRB385 plus SRB385-Db) detected in this study (11 to 24%) were higher than those detected by other authors using the same method in different environments, e.g., in activated sludge, anaerobic biofilms, and bulk soil (1 to 12% of total bacteria) (5, 28, 54). The reasons for this difference may include the environment that we investigated and our choice of probes (SRB385 and SRB385-Db in combination), which may likely have resulted in higher detection rates. Moreover, we are aware that both probes also detect a range of other anaerobic bacteria (28). Thus, the numbers reported here likely overestimate true SRB numbers.
For both Bacteria and SRB and during both tests, differences between numbers of cells in extraction phase samples compared to background samples were in the same range. Therefore, the increase in the Bacteria numbers may have been due to an increase in SRB numbers. This agrees with an increase in counts with the genus-specific SRB probes during the tests. Interestingly, counts of Desulfovibrio (2.6 to 7.6%) and Desulfobacter (0 to 6%) in this PHC-contaminated environment were in the same range as was found in activated sludge, another freshwater environment (2.8 to 5.2% and 1.8%, respectively [28]). However, the same authors detected Desulfobulbus numbers below the detection limit (<0.1%), compared to 2.6 to 8% in our samples, which may be due to the different environments examined. Differences in cell counts between the tests, especially with regard to Desulfobacter spp., are difficult to interpret and may be caused by naturally occurring fluctuations of the populations due to changes of environmental conditions.
PCR-DGGE.
The presence of several bands in DGGE profiles indicated a diverse bacterial population in groundwater near well PS3. Although we cannot statistically test the significance of this observation, our results suggest that the suspended bacterial community of the dominant species remained the same during PPTac (Fig. 3). At first, this finding does not seem to agree with the FISH results, as FISH indicated higher SRB and Bacteria activity during extraction phases compared to background samples. However, FISH detects the active portion of the microbial population, which may change during a PPT (increase in RNA content), while DGGE profiles reveal the population patterns, which appeared to remain unaltered.
Comparison of chemical data with molecular analyses.
Although the carbon sources that we added in the current PPTs may not be important SRB substrates in situ in this aquifer, their consumption in the tests may be related to the presence of certain SRB genera and hence provide information on the bacterial community. Since most SRB are unable to readily degrade all of the added carbon sources (19, 24, 50-52), substantial enhancement of SO42- reduction in all of our tests compared to tests without carbon source addition (42) suggests that a diverse SRB population is present. This agrees with our results from FISH and DGGE. More specifically, consumption of acetate, propionate, and lactate coupled to SO42- reduction suggests the presence of Desulfobacter, Desulfobulbus, and Desulfovibrio, respectively, because these genera were commonly found to be associated with the degradation of the respective carbon sources in many different environments (32, 34, 40) and also degrade them in pure culture (51). Indeed, by using FISH we demonstrated the presence of these three genera.
Interestingly, acetate as a bacterial metabolite was detected during PPTpr, suggesting incomplete degradation of propionate. This agrees with the presence of Desulfobulbus, an incomplete propionate oxidizer (51). However, fermentation of propionate to acetate may also have occurred. Butyrate, on the other hand, is degraded by none of the three genera mentioned, suggesting the presence of additional SRB.
Nevertheless, the comparison of results from molecular analyses with measurements of macroscopic activities is complicated by the fact that with the former we targeted only the suspended bacteria population, while the latter reflects both attached and suspended populations. Although we are aware that suspended microbial communities may not accurately reflect the overall microbial population (1), others have indicated that, in contaminated aquifers, the difference between structures of suspended and attached microbial populations may not be significant (6). This will remain an issue of further study.
Conclusions.
In this study, we presented a novel combination of single-well PPTs with molecular microbiological methods. Molecular and chemical data complemented each other and provided valuable insights into microbial processes and activities in the SO42--reducing zone of a PHC-contaminated aquifer. SRB from this freshwater environment were able to use a variety of organic carbon sources, which is indicative of a diverse SRB population, as many SRB are specialized for only a few carbon sources. Molecular data confirmed substantial diversity of suspended SRB. Activities of SRB were considerably enhanced by addition of organic carbon sources, which was corroborated by higher FISH detection rates during PPTs compared to native groundwater. Results from DGGE indicated that within the time frame of our experiments (4 days), the introduction of reactants during PPTs did not change the suspended microbial community of the dominant species. In future studies we will focus on community members responsible for PHC degradation and characterization of populations that are attached to the aquifer solid matrix.
This study was funded by the Swiss National Science Foundation, Priority Program Environment, and by the Swiss Agency for the Environment, Forests and Landscape (BUWAL).
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