Establishment and metabolic analysis of a model microbial community for understanding trophic and electron accepting interactions of subsurface anaerobic environments
© Miller et al; licensee BioMed Central Ltd. 2010
Received: 9 December 2009
Accepted: 24 May 2010
Published: 24 May 2010
Communities of microorganisms control the rates of key biogeochemical cycles, and are important for biotechnology, bioremediation, and industrial microbiological processes. For this reason, we constructed a model microbial community comprised of three species dependent on trophic interactions. The three species microbial community was comprised of Clostridium cellulolyticum, Desulfovibrio vulgaris Hildenborough, and Geobacter sulfurreducens and was grown under continuous culture conditions. Cellobiose served as the carbon and energy source for C. cellulolyticum, whereas D. vulgaris and G. sulfurreducens derived carbon and energy from the metabolic products of cellobiose fermentation and were provided with sulfate and fumarate respectively as electron acceptors.
qPCR monitoring of the culture revealed C. cellulolyticum to be dominant as expected and confirmed the presence of D. vulgaris and G. sulfurreducens. Proposed metabolic modeling of carbon and electron flow of the three-species community indicated that the growth of C. cellulolyticum and D. vulgaris were electron donor limited whereas G. sulfurreducens was electron acceptor limited.
The results demonstrate that C. cellulolyticum, D. vulgaris, and G. sulfurreducens can be grown in coculture in a continuous culture system in which D. vulgaris and G. sulfurreducens are dependent upon the metabolic byproducts of C. cellulolyticum for nutrients. This represents a step towards developing a tractable model ecosystem comprised of members representing the functional groups of a trophic network.
Cultivation of individual microbial species has been at the core of experimental microbiology for more than a century but offers only a glimpse into the collective metabolism, ecology and ecophysiological potential of natural microbial systems. Microbial communities rather than individual species generally control process rates and drive key biogeochemical cycles, including those that determine the transformation of environmental pollutants. While the relatively recent advances in molecular ecology and metagenomic-enabled studies of microbial communities have greatly advanced our understanding of natural and engineered systems, such systems are often not amenable to precise experimental manipulation. Controlled studies of model consortia comprised of multiple species that mediate important biological processes are essential for advancing our understanding of many diverse areas of microbial ecology. Model consortia studies may be especially pertinent to engineered and biotechnology relevant processes including; human and animal environments [1–3], processes relevant to bioremediation and natural attenuation [4–6], bacterially mediated wastewater treatment processes [7, 8], and industrial biotechnological applications .
In their natural environments, microbial communities are often growth-limited by the availability of carbon and energy [10–12]. For this reason, growth of bacteria in carbon limited continuous-culture systems more closely resembles that in natural ecosystems  in contrast to the excess nutrients provided in most microbiological media . Moreover, the steady-state growth condition afforded by continuous-culture systems is more precise and statistically reproducible than the constantly changing physiological states of cells grown under batch culture conditions [13, 14]. Therefore these approaches may be favored for model community studies.
Previous studies of mixed cultures in the laboratory focused on understanding the syntrophic growth of sulfate-reducers and methanogens [15, 16], competition for nutrients and electron sinks between microorganisms [17–20], and functional community stability [21–23]. However, there is a lack of studies on consortia of microorganisms representing the higher-level trophic interactions based on the archetypical models of the functional groups within a trophic network. For example, an ideal model consortium representing a subsurface anoxic community might comprise a group of microorganisms representing several oxidation-reduction levels. This community would be capable of extracting considerable energy from organic monomers or polymers through various trophic interactions and several terminal electron-acceptor processes, ending with the least thermodynamically favorable process of methanogenesis. In undisturbed and unstimulated groundwater systems the primary carbon sources available may include humic acids and complex mixtures of carbohydrates that derive from the breakdown of vegetation inputs and cell wall constituents, as well as volatile fatty acids derived from the microbial breakdown of such inputs [24, 25]. Microbial activity in these systems is thought to be primarily driven by fermenters of complex carbohydrates, with subsequent utilization of fermentation products such as acetate, ethanol and other volatile fatty acids by sulfate reducing bacteria (SRB) and ferric iron reducing bacteria (FRB) that oxidize these products [26–30].
As a first step towards developing a model anaerobic and syntrophic community, we sought to use 3 to 4 model organisms to serve as archetypes for the various functional redox groups. All candidate microorganisms have sequenced genomes http://genome.jgi-psf.org/cloce/cloce.info.html[31, 32], tractable genetic systems [33–36], and have been previously studied individually or in co-culture in continuous flow systems [37–42]. Clostridium cellulolyticum was chosen as the basal organism due the diverse ability of this organism for the fermentation of complex carbohydrate polymers. As it ferments cellobiose, for example, acetate, lactate, ethanol and hydrogen are produced that can potentially be used by other organisms including SRB and FRB. The secondary stage in the chain of nutrient and electron flow was represented by both Desulfovibrio vulgaris and by Geobacter sulfurreducens, each of which can utilize the metabolites of C. cellulolyticum. In this system, D. vulgaris and G. sulfurreducens were provided with sulfate and fumarate, respectively, as electron-acceptors in order to avoid electron-acceptor competition as well as the precipitates from using ferric iron as an electron-acceptor for Geobacter. Both Desulfovibrio-like and Geobacter-like organisms also represent organisms commonly responsible for the reduction of Uranium, Chromium and other heavy metals as found in contaminated sites [27–30, 43, 44]. By constructing this consortia from the a priori criteria described above, we were also able to quickly refine minimal medium and cultivation conditions. This strategy also enables the future development and application of analytical methods that take full advantage of genome enabled tools to characterize and track consortia dynamics at the molecular level.
The goals of this study were to; 1) develop a stable microbial consortia in continuous flow systems that could be used for physiological and functional genomic studies in tractable and manipulable experiments, 2) to develop and apply analytical methods for quantifying the community members and monitoring individual as well as community metabolism, and 3) to build a simple metabolic model of the community. Here we present analysis of a stable consortium comprised of C. cellulolyticum, D. vulgaris, and G. sulfurreducens for understanding trophic interactions in anaerobic subsurface environments.
Results and Discussion
Tri-culture inoculation and metabolite monitoring reveals limiting nutrients
In all co-cultures, the 2.2 mM cellobiose decreased to less than 0.5 mM within 2 days and thereafter rarely exceeded 0.1 mM (Figure 2 and Additional File 1). This was different than in preliminary continuous culture experiments where non-steady state "upsets" occurred that were often associated with sporulation of C. cellulolyticum. In these cases, the concentration of cellobiose reached up to 2 mM for three or more days until a new steady state approached. Cellobiose fermentation resulted primarily in the production of acetate and CO2 at steady state. While quantifiable CO2 was within the nitrogen gas flushed across the vessel headspace and exiting the vessel, hydrogen remained below the 0.3 μM detection limit. The concentrations of these compounds stabilized as the culture reached a stable optical density of ~0.4. Ethanol was also occasionally detected at trace amounts.
D. vulgaris likely utilized H2 and ethanol as the electron donors for sulfate-reduction while acetate likely provided a carbon source. Acetate also provided a carbon and energy source for G. sulfurreducens as it used the 5 mM fumarate as an electron-acceptor and produced succinate. The complete removal of fumarate with remaining acetate in solution indicated that the electron-acceptor limited the metabolism and growth of G. sulfurreducens. However, in other three species community culture experiments under continuous flow conditions, when > 5 mM fumarate was provided, an "upset" of the steady-state co-culture often resulted that was associated with, and possibly caused by, the accumulation of succinate (data not shown).
In addition to the HPLC analysis, sulfate depletion was measured using a commercially available kit based on the barium chloride assay . These results demonstrated that D. vulgaris depleted 6.1 mM sulfate (out of the 8 mM supplied) from the medium by sulfate reduction (Additional File 1). However, sulfate remained in the medium at a concentration of about 2 mM suggesting that D. vulgaris was not growth limited by the amount of sulfate available. The abundance of acetate coupled with the availability of sulfate suggests that electron donors were limiting the growth of D. vulgaris. Small amounts of hydrogen (< 10 μM) were detected in the culture gas phase as shown in Additional File 1, suggesting its availability for interspecies hydrogen transfer. However, in preliminary experiments using these same reactor conditions, these H2 concentrations proved insufficient to support the growth of Methanococcus maripaludis over sustained periods at this dilution and gas flushing rate (data not shown). It is possible that a combination of the reactor agitation rate combined with the gas exchange rate decreased the H2 partial pressure to a point where the growth of the methanogen was unsustainable.
From the metabolic analysis several conclusions can be drawn about the three species community comprised of C. cellulolyticum, D. vulgaris, and G. sulfurreducens. Given that cellobiose was virtually exhausted in the culture supernatant, C. cellulolyticum was likely growth limited by the availability of cellobiose and not by the dilution rate which was considerably slower than the maximum growth rate observed in monoculture chemostat studies [37, 46]. Analysis of the three species community's metabolism coupled with results from a C. cellulolyticum single species chemostat fed with a similar medium suggests that C. cellulolyticum produced little to no lactate under these conditions (data not shown) in agreement with previous studies [37, 46].
Culture composition determined by quantitative PCR
Oligonucleotide primers used for qPCR
Estimated Carbon and e- Recovery of Three Species Community*
energy in digestible end products
three species community
Fluorescent microscopy confirms the presence of each species
Proposed Carbon and Electron Flow
In the proposed model describing the metabolism of the three species community culture, the culture feed concentration of 2.2 mM cellobiose was completely consumed by the C. cellulolyticum with the major end product being 5.93 mM acetate and a similar quantity of CO2. A combined 3.3 moles of carbon dioxide was produced by C. cellulolyticum and G. sulfurreducens, but not by D. vulgaris which has an incomplete TCA cycle . Each mole of cellobiose led to 2.7 moles acetate in the supernatant while approximately 0.7 moles of acetate equivalents likely went towards either the electron donating food source of the Geobacter or into the biomass of the Geobacter and Desulfovibrio cells. Hydrogen and ethanol, though generally below detectable limits in tri-culture chemostats, were likely produced by C. cellulolyticum and used by D. vulgaris to reduce 2.7 moles of sulfate to hydrogen sulfide. The ratio of ethanol and hydrogen available to the sulfate reducer was estimated from the ratio of acetate:ethanol:hydrogen from a pure culture chemostat of C. cellulolyticum under the same physical and media conditions (data not shown). However, it was not clear what form of electron equivalents (hydrogen, interspecies electron transfer, or ethanol) was consumed by the sulfate reducer and this could not be distinguished in our measurements so the modeled values are considered preliminary (indicated by the circle in Figure 5). Hydrogen, though abundant in C. cellulolyticum pure culture batch experiments, was generally below detectable limits in the three species community, being less than 0.1 mM consumed. D. vulgaris, consumed 6.1 mM sulfate (2.7 per mole of cellobiose consumed) leaving behind 2 mM while both hydrogen and ethanol were not detectable suggesting its growth was likely limited by the availability of electron donors. It was possible D. vulgaris used fumarate as an electron donor producing succinate and acetate  but that was unlikely in the presence of excess sulfate. Fumarate disproportionation would have produced more acetate and succinate and would have resulted in slow growth rates approaching the chemostat dilution rate. Complex interplays of fumarate, malate, succinate, and acetate between the D. vulgaris and G. sulfurreducens were possible, with the proposed modeled framework (Figure 5) representative of carbon flow and likely electron flow.
Geobacter sulfurreducens likely utilized approximately 0.45 moles acetate per mole of cellobiose consumed. Approximately 0.3 moles acetate was modeled as the electron donor producing 0.6 moles CO2 with a minor fraction of the acetate incorporated into biomass. While 4.9 mM fumarate was provided to the tri-culture, 2.23 moles of fumarate were transformed per mole of cellobiose consumed. The 2.23 moles of fumarate were reduced to 1.63 moles of succinate with 0.02 moles of malate also detected. Incomplete recovery of the fumarate-malate-succinate couple may be due to some carbon potentially diverted to biomass. G. sulfurreducens was electron acceptor limited as verified by its complete removal of fumarate, and being electron acceptor limited likely facilitated electron equivalents being available for sulfate reduction. However, that limitation was forced by an apparent inhibition of the C. cellulolyticum whenever succinate approached 10 mM in experiments with elevated fumarate levels (data not shown).
The model of the three species community culture accounts for 236 mg per liter biomass corresponding to 5.25 × 108 cells per ml. Based upon PCR amplification ratios and cell counts, nearly 80% of the community was comprised of C. cellulolyticum with minor contributions by G. sulfurreducens and D. vulgaris (Figure 5 and Additional File 1). Biomass was ascribed a molecular weight of 104 g/M based on the C4H7O1.5N + minerals formula with the oxidation of said mole requiring 17 electron equivalents of ~ -0.3 mV as described by Harris and Adams 1979 . Accordingly, mass balance determinations accounted for 93% of the carbon and 112% of the electrons available to the tri-culture.
These results demonstrate that C. cellulolyticum, D. vulgaris, and G. sulfurreducens can be grown in coculture in a continuous culture system in which D. vulgaris and G. sulfurreducens are dependent upon the metabolic byproducts of C. cellulolyticum for nutrients. Moreover, the overall cell densities achieved and maintained under these conditions were appropriate for observing changes in the cell densities resulting from growth or decline from perturbations of nutrients or by stress conditions. Effective methods have been developed to monitor population dynamics and metabolic fluxes of the coculture. This represents a step towards developing a tractable model ecosystem comprised of members representing the functional groups of a trophic network.
Future studies will aim to add additional complexities with the goal of better representing subsurface communities and conditions, as well as responses after perturbing the systems with various stresses (i.e. high salt concentrations, nitrate load, and varying pH conditions) in order to determine how the individual members and the community respond in terms of growth rate and metabolic activity. Efforts are also underway to apply systems biology level approaches, including for example microarrays to determine expression levels of key metabolic genes during the shift to coculture growth as well as during artificially-induced physical and chemical stress.
Strains and Growth Medium
Bacterial strains used in this study were as follows: Clostridium cellulolyticum H10 (ATCC 35319), Desulfovibrio vulgaris subsp. vulgaris Hildenborough NCIMB 8303 , and Geobacter sulfurreducens. B3M medium as described by Stolyar et al. 2007  was modified to support the growth of C. cellulolyticum and called B3A. Notably, the buffering agent was changed to 3-(n-morpholino)propanesulfonic acid (MOPS) due to its greater buffering capacity to cope with the fermentation by C. cellulolyticum and eliminate the need for continuous pH adjustment of the cultures. B3A medium contained (per liter) 3 g NaCl, 0.5 g MgCl2·6H2O, 1 g NH4Cl, 0.1 g KCl, 2 g 3-(n-morpholino)propanesulfonic acid (MOPS), and 0.2 mg resazurine added to milli-Q water. The pH was adjusted to 7.2 prior to autoclaving. The following compounds were added from stock solutions after autoclaving to the final concentration shown: 0.2 nM L-alanine, 1 mM CaCl2, 2.2 mM cellobiose, 0.2% cysteine, 5 mM fumarate, 5 mM NaHCO3, 8 mM Na2SO4, and 10 mM K2HPO4. 2 ml per liter of a vitamin solution (containing per liter 0.02 g biotin, 0.02 g folic acid, 0.1 g pyridoxine HCl, 0.05 g thiamine HCl, 0.05 g riboflavin, 0.05 g nicotinic acid, 0.05 g calcium pantothenate, 0.05 g p-aminobenzoic acid, 0.01 g vitamin B12, 0.05 g thioctic acid), and 1 ml per liter of a trace minerals solution (containing per liter 0.2 g FeCl2·4H2O, 0.1 g MnCl2·4H2O, 0.1 g CoCl2·2H2O, 0.05 g ZnCl2, 0.01 g Na2MoO4, 0.005 g H3BO3, 0.024 g NiCl2·6H2O, 0.002 g CuCl2·2H2O, 0.017 g Na2SeO3·5H2O, 0.020 g Na2WO4·2H2O, 1.5 g nitrilotriacetic acid, 0.1 g MgCl2·6H2O, 1 g CaCl2·2H2O) was also added after autoclaving.
Two replicate custom built anaerobic glass fermentation vessels (Allen Glass, Boulder, CO) with working volumes of approximately 650 ml were filled with B3A medium (Figure 1). The fermentation vessels were fed medium from the same carboy by individual peristaltic pumps set to deliver media at a flow rate of 0.34 ml min-1 (Figure 1) which was equivalent to a dilution rate of 0.03 h-1. The headspace of the 19 L carboy was flushed with N2 at ~10 ml min-1 keeping an inert blanket over the medium. Each fermentation vessel was constantly stirred via a magnetic stir bar and anaerobic conditions were maintained by a constant flow of nitrogen gas (49 ml min-1) through the medium inlet tube. Sparging the inlet drip-tube proved instrumental in reducing biofilm development in the medium dispensing system and allowed for the prevention of microbial contamination in the sterile medium carboy over four of weeks of operation. The temperature was maintained constant at 30°C ± 2°C by circulating water through the water jackets of each fermentation vessel via a recirculating water bath. Spent culture fluid was allowed to drain out of the vessel overflow vent into a closed collection vessel at the same rate as the replenishing medium thereby maintaining a constant volume. Gas exited the fermentation vessel in the same manner and the collection vessel off gas was passed through an acidified Zn-acetate solution (1% mass to volume) in order to remove hydrogen sulfide before being vented into a chemical fume hood. Gas samples were taken with needles and syringes through ports at the top of the vessels that were sealed with butyl rubber bungs. Liquid samples were taken from the media overflow tubing.
Genomic DNA Isolation
Total genomic DNA was isolated from the bacterial co-cultures by using the Wizard Genomic DNA purification kit (Promega) according to the manufacturer's protocol with slight modifications. Briefly, 10 ml of co-culture samples were harvested and resuspended in 520 μl of 50 mM EDTA. The cells were further treated with 30 μl of 100 mg/ml lysozyme and incubation at 37°C for 30 minutes followed by addition of 10 μl of 10 mg/ml proteinase K and further incubation at 37°C for 30 minutes. Cell lysis and RNase treatment were performed according to the manufacturer's recommendations. DNA was precipitated with a 0.6 volume of isopropanol, and dissolved in 100 μl TE buffer. The concentration and purity of both DNA and RNA samples were determined by spectrophotometric ratio assay at 260 nm and 280 nm using a Nanodrop spectrophotometer.
Quantitative Polymerase Chain Reaction (qPCR) Assay
where amount is total amount of DNA in ng and length is the total length of DNA in bp. To obtain the 16S rRNA genes copies per ml, the gene copy numbers obtained from the standard curves was multiplied by the total volume of extracted DNA and divided by the volume of sample from which the DNA was extracted and the number of 16S rRNA gene copies for each organism (eight copies for C. cellulolyticum, five copies for D. vulgaris and two copies for G. sulfurreducens).
Filtered supernatants were acidified with 200 mM sulfuric acid (giving a final concentration of 5 mM) before injection into a Hitachi Lachrom Elite HPLC system (Hitachi High Technologies, USA). Metabolites were separated on an Aminex HPX-87H column (BioRad Laboratories) under isocratic temperature (40°C) and flow (0.5 ml/min) conditions then passed through a refractive index (RI) detector (Hitachi L-2490). Identification was performed by comparison of retention times with known standards. Quantitation of the metabolites was calculated against linear standard curves. All standards were prepared in uninoculated culture media to account for interference of salts in the RI detector.
Gases were collected from the fermenter vessel headspace via 5 ml syringes and stored at room temperature in 10 ml anaerobic serum bottles from which 5 ml of gas was removed before being analyzed on an Agilent 6850 gas chromatograph (Agilent Technologies, USA) equipped with a thermal conductivity detector (TCD). All gas analytes were separated on an HP-PLOT U column (30m × 0.32 mm × 0.10 um film) (J&W Scientific, Agilent Technologies, USA). Two HP-PLOT U columns were joined together for a total length of 60 m for optimized separation. Samples for carbon dioxide and hydrogen sulfide measurements were injected into a 185°C split-splitless injector with the split ratio set to 3:1 and isocratic oven (70°C) and helium carrier flow (5.1 ml/min). The detector had 10 ml/min helium makeup flow at 185°C, with the detector filament set for positive polarity. Samples to detect hydrogen concentrations were injected into a 185°C split-splitless injector with a split ratio of 3:1 and isocratic oven (180°C) and nitrogen carrier flow (3.5 ml/min). The detector had 10 ml/min nitrogen makeup flow at 185°C with the detector filament at negative polarity. Peak identifications were performed by comparison with known standards. Quantification of each compound was calculated against individual linear standard curves. Henry's Law was used to calculate the solubility of the gases in the media. For carbon dioxide, a modified Henry's Law calculation accounting for the chemical reactivity of the gas was used to determine the amount of gas in solution .
Sulfate concentrations were measured using the Sulfaver 4 kit according to Hach Company's instructions. Aqueous hydrogen sulfide was determined by a colorimetric method developed by Pachmayr and described by Brock et al. 1971 .
Fluorescence Microscopy and Direct Cell Counts
Cells were fixed in 4% paraformaldehyde for 20 min at room temperature and washed 3 times in phosphate buffered saline (PBS; 137 mM NaCl, 10 mM phosphate, 2.7 mM KCl [pH 7.4]) and resuspended in PBS. The fixed cells (2 to 5 × 106 cells) were collected on a 0.2-μm black polycarbonate filter (Millipore, Isopore GTPB 02500), and the cells on the filter were transferred to 0.1% gelatin coated slides which contained 5 microliters of water by applying a vacuum for 5 minutes to transfer the cells to the slides . The cells were incubated with fluorophore conjugated polyclonal antibodies FITC for D. vulgaris and Rhodamine for C. cellulolyticum for 30 min at room temperature, washed with PBS three times, and subsequently were stained with DAPI (4',6'-diamidino-2-phenylindole) 3 μM for 15 minutes. SlowFade® Gold from Invitrogen was applied to the slides and the slides were mounted on a Zeiss AX10 microscope. Images were taken by a black and white AxioCam MRm digital camera (Carl Zeiss, Inc.) and then colorized to the appropriate color and merged using photo editing software. Microscopic direct counts of cells were performed using a Petroff Hausser Counting Chamber using a Zeiss Axioskop 2 plus microscope.
Carbon and Electron Balance and Metabolic Modeling
The metabolic model of the three species community including the carbon and electron balance was designed based on the replicate fermenter steady-state and single culture chemostats and was complemented by batch culture experiments and data from the literature.
For a 640 ml culture with an OD600 of 0.4, the biomass was 236 mg dw/L based on a cell dry weight biomass of 590 mg dw/L for a C. cellulolyticum culture with an OD600 of 1.0 and 1.3 × 109 cells/ml. The 236 mg per liter biomass corresponded to 5.25 × 108 cells per ml. Fractions of the specific populations were based upon PCR amplification ratios and cell counts. Biomass was ascribed a molecular weight of 104 g/M based on the C4H7O1.5N + minerals formula with the oxidation of said mole requiring 17 electron equivalents of ~ -0.37 mV as described by Harris and Adams 1979 .
Carbon and electron balances in Tables 2 and 1 were based on the model (Figure 5) and analytics, accomplished by comparing carbon inputs with products. The electron balance was based on electron equivalents of inputs compared to electron equivalents of products, including biomass as described above. The fraction of energy available in digestible end products was based on the number of electron equivalents and their energies of all substrates as compared to the energy of the electron equivalents in readily digestible end products such as acetate, succinate, ethanol or hydrogen but excluding biomass or sulfide.
The authors would like to thank Meghan Drake for culturing assistance. We also thank two anonymous reviewers for helpful comments. This work was part of work by the Virtual Institute for Microbial Stress and Survival http://vimss.lbl.gov/ sponsored by the U.S. Department of Energy, Office of Science, and Office of Biological and Environmental Research Genomics:GTL program. Oak Ridge National Laboratory is managed by UT Battelle, LLC, for the U.S. Department of Energy under contract DE-ACO5-00OR22725.
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