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Applied and Environmental Microbiology, May 2008, p. 3022-3029, Vol. 74, No. 10
0099-2240/08/$08.00+0 doi:10.1128/AEM.00119-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Department of Botany and Microbiology and Institute for Energy and the Environment, University of Oklahoma, Norman, Oklahoma 73019
Received 14 January 2008/ Accepted 20 March 2008
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The ability of anaerobic microorganisms to biodegrade a variety of hydrocarbons has now been well documented and widely reviewed (e.g., see reference 41). Most work has been done in the interest of environmental restoration in response to anthropogenic fuel releases, but geological evidence suggests that anaerobic hydrocarbon biodegradation has occurred for millennia. For example, many of the earth's petroleum reserves have been altered to various extents, depending on such factors as nutrient and water availability, temperature, and the requisite microorganisms, presumably in the absence of oxygen (18). Indeed, Aitken et al. (1) detected anaerobic metabolites characteristic of polycyclic aromatic hydrocarbon metabolism in 52 of 77 oil samples from across the globe. The detection of numerous anaerobes, including methanogens, associated with petroleum reservoir fluids also supports this contention (26, 28). In fact, gasses of biological origin, including methane, are believed to be primary by-products of anaerobic oil decomposition in petroliferous deposits (18, 29), where oil quality has diminished due to the preferential consumption of "light" or shorter-chain hydrocarbons. n-Alkanes, a major fraction of most crude oils, have recently been found to be biodegradable under methanogenic conditions, both as pure substrates (3, 43) and in oily mixtures (23, 32, 37), and could be a substantial source of methane in biodegraded oil resources. Indeed, Jones et al. (23) recently combined isotopic fractionation measurements and the modeling of CH4 and CO2 in variously biodegraded oilfields with observations of methanogenic oil biodegradation in laboratory incubations to link biodegraded oil patterns in reservoirs with anaerobic biodegradation processes. In many cases, though, the biogenic methane that accumulated in petroliferous deposits was likely produced long ago; thus, methane production from these resources on a human time scale may not be substantial or economically viable without stimulation or inoculation (13). Following the first report of methanogenic alkane decay (43), it was speculated that oil entrained in marginal fields could be recovered as natural gas following biodegradation by microbes (30), but no report evaluating such a prospect exists. Here, we found that oil residing in marginal reservoir samples can be converted into methane by using a methanogenic microbial consortium as an inoculant.
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Chemical analyses.
Methane was monitored regularly by injecting 0.2 ml of an incubation headspace into a Varian 3300 gas chromatograph (GC) equipped with a flame ionization detector and a packed stainless steel column (Poropak Q with 80/100 mesh; Supelco, Bellefonte, PA). The injector and column temperatures were held at 100°C, and the detector was at 125°C. Acetate concentrations in the culture fluids were determined on the same model GC and flame ionization detector, but with a Carbopack B-DA (80/120 mesh)/4% Carbowax 20-M glass column (2 m by 2 mm inside diameter; Supelco) held isothermally at 155°C, with injector and detector temperatures at 200°C. To determine the loss of residual oil components in a time course experiment, multiple replicate incubations containing inoculated or uninoculated crushed core material were established (10 g core material [<1.18 mm] in 15 ml medium, prepared as described above) and duplicates were sacrificed at various time points by extraction with four aliquots of methylene chloride. Organic layers were pooled, dried over sodium sulfate, and concentrated under N2. A standard compound (C24D50; Isotec, Miamisburg, OH) was added to the cultures prior to organic extraction in order to quantify the alkane fraction of the residual oil extracts. Quantification was performed by summing the GC peak areas of alkanes ranging from C12 to C29 and dividing this sum by the peak area of the added C24D50 to obtain an n-alkane-to-standard ratio. For such residual oil analysis, an Agilent 6890 model GC, coupled with a 5973 model mass spectrometer, was used. One microliter of each extracted oil sample was injected at 270°C, and components were separated on an HP-5MS capillary column (30 m by 0.25 mm inside diameter, 0.25-µm film thickness; Agilent Technologies, Inc.) by initially holding the oven at 45°C for 5 min, increasing the temperature at a rate of 8°C/min to 270°C, and holding at this final temperature for 15 min. In order to prepare oil-free core material, methylene chloride was used to wash residual oil components from crushed core material until hydrocarbons could not be detected by GC, and the solvent was allowed to evaporate. Such oil-free core material was used in a set of experiments designed to pinpoint the substrates in the core material that were driving methanogenesis. In some cases, formation oil was aseptically added to the solvent-extracted, core-material-containing incubations through the stoppers using sterile N2-flushed syringes. Sulfate concentrations were measured using ion chromatography as described previously (8).
DNA analyses.
Two milliliters of culture fluid from the consortium was added to microfuge tubes containing sterile silica beads and centrifuged to pellet the cells, and the supernatant was removed (31). Commercially available DNA extraction kits were used to extract DNA from the cell pellets; each protocol combined mechanical (e.g., bead-beating) and chemical means to lyse the cells. Controls for sterility included processing one or two reagent controls to which no cells were added. Aliquots from reagent control tubes were used as the template DNA in the same set of PCRs used to create the clone libraries; however, no visible PCR products were formed. Following DNA extraction of the oil-degrading methanogenic consortium, three 16S rRNA gene libraries (two eubacterial and one archaeal) and three mcrA (methyl coenzyme M reductase) libraries were constructed. For the first eubacterial library (library 1) (clone series "E"), cells were collected on 26 May 2005 from two consortium samples (e.g., L2 and L4), extracted separately using the FastDNA spin kit for soil (Quantum Biotechnologies, Inc., Carlsbad, CA), and amplified separately. Nearly full-length 16S rRNA gene sequences (Escherichia coli positions 8 to 1492) were obtained from DNA purified from cells by amplification with primers targeting conserved regions and the cycling conditions described previously by Herrick et al. (19). Primers 27f and 907r (22) were used to create the PCR products for cloning eubacterial library 2 (clone series "lg1") from the L2 and L4 consortium samples collected on 8 September 2005 using the same PCR cycling conditions as those used for library 1. After an initial bead-beating step identical to that used for the May samples, DNA extraction of the September 2005 samples followed the protocol for the QIAamp DNA stool mini kit (Qiagen, Valencia, CA). Primers ARC333 and 958r and the PCR amplification conditions detailed previously by Struchtemeyer et al. (33) were used to obtain archaeal 16S rRNA gene sequences from the same template DNA as that used for eubacterial library 1 and from the L2 resampled on 27 April 2007. DNA was extracted from the 2007 sample with the MO BIO PowerSoil DNA isolation kit (MO BIO Laboratories, Inc., Carlsbad, CA), which has an initial bead-beating step. The mcrA libraries were created by using primers ME1 and ME2 (17) to amplify DNA extracted from the L2 sample collected on 26 May 2005 and resampled on 27 April 2007. Primers ME1 and ME2 were also used to amplify mcrA sequences after enrichment under conditions selective for methanogens utilizing H2/CO2. The PCR products were cloned into the TOPO-TA vector (Invitrogen, Carlsbad, CA). A preliminary screening of the eubacterial and archaeal 16S rRNA gene diversity was performed by randomly selecting a few white colonies from eubacterial library 1 (for L2, three colonies, and for L4, four colonies) and the archaeal 16S rRNA gene library (for L2, three colonies; for L4, four colonies; and for the L2-2007 sample, 11 colonies). Cloned DNA was directly amplified from transformed cells by using flanking M13 vector sequences and purified by spin filter centrifugation (Montage PCR purification units; Thermo Fisher Scientific). Sequencing was performed at the University of Oklahoma DNA Sequencing Facility on an ABI model 377 automated sequencer. The amplification primers and two internal primers (704f and 907r [22]) were employed to sequence eubacterial library 1. White colonies from eubacterial library 2 (for L2, 60 colonies, and for L4, 36 colonies) and the mcrA (for the L2-May 2005 sample, 12 colonies, and for the L2-April 2007 resample, 12 colonies) libraries were transferred with sterile toothpicks into 96-well microtiter plates containing 200 µl tryptone-yeast extract-glycerol broth with ampicillin (9), grown overnight at 37°C, and stored at –85°C until DNA isolation and sequencing could be performed at the Advanced Center for Genome Technology (Norman, OK), as described previously (9). For all libraries, initial phylogenetic assignments were made following BLASTN searches (Basic Local Alignment Search Tool [2]). Sequencher (Windows version 4.2; Gene Codes Corp., Ann Arbor, MI) was used to trim vector regions from the cloned sequences and to examine each cloned sequence for the presence of universally conserved regions (e.g., primer regions). Chimera-Check (Ribosomal Database Project [27]), Bellerophon (20), and Pintail (4) were used to check for putative chimeric sequences that were then removed from the data set. Many of the clones from eubacterial library 2 and the mcrA library had poor growth; the numbers of full-length, nonchimeric sequences for eubacterial library 2 were as follows: for L2, 33 sequences; for L4, 21 sequences; for the mcrA library May 2005 sample, 1 sequence; and for the April 2007 sample, 2 sequences. Sequences with greater than 97% similarity were grouped into operational taxonomic units (OTUs), and one sequence was chosen to represent each OTU used for phylogenetic tree construction. Phylogenetic placement of 16S sequences was further examined using the Classifier program (Ribosomal Database Project [27]). Sequences (from the BLASTN search) that most closely matched the sequences from the clones and sequences of selected outgroup strains were trimmed to a common region of approximately 800 bp, aligned using ClustalX (version 1.81) (36), and corrected manually as needed. An evolutionary distance tree was constructed using the neighbor-joining algorithm, and 1,000 bootstrap replicates were performed to estimate the support for each branch (11).
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0.06 g of oil, the amount present in 5 g of core), methane production was significantly diminished (Fig. 1, line 3), suggesting that the core itself was providing a solid surface for the inoculum or perhaps some unidentified nutrient(s). No difference in methanogenesis was observed when the added core material was crushed to grain sizes ranging from <149 µm to >1.18 mm, suggesting that the culture could access the residual oil under these conditions (data not shown).
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FIG. 1. Methane production from inoculated, crushed residual-oil-bearing core material incubated under different conditions as follows: (lines 1 and 2 [overlapping data]) inoculum in medium only and inoculum in medium with solvent-extracted core, (line 3) inoculum in medium with formation oil (0.06 g), (line 4) inoculum in medium with solvent-extracted core plus formation oil (0.06 g) plus 1 mM sulfate, (line 5) inoculum in medium with solvent-extracted core plus formation oil (0.06 g), and (line 6) inoculum in medium with whole core (no solvent extraction). These incubations contained 5 g core material and 10 ml medium. Error bars represent 1 standard deviation of the mean of triplicate incubations.
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FIG. 2. (A) n-Alkane consumption and methane production in crushed residual-oil-bearing core incubations. Closed triangles, n-alkane-to-standard peak area ratio in inoculated residual oil cultures; open triangles, n-alkane-to-standard peak area ratio in uninoculated and sterile controls; closed circles, methane production in inoculated residual oil cultures; open circles, methane production in uninoculated residual oil incubations. (B) Total ion chromatograms showing the consumption of n-alkanes over 4 months when crushed residual-oil-bearing core material was inoculated with a methanogenic, hydrocarbon-degrading consortium. Pr, pristane; Ph, phytane; C24D50, extraction standard; S8, sulfur.
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FIG. 3. (A) Methane production from inoculated crushed residual-oil-bearing sandstone core incubations in the absence (closed circles) or presence (open circles) of exogenously added sulfate. Open triangles represent the sulfate concentrations in the sulfate-amended incubations. (B) Methane production from inoculated residual-oil-bearing sandstone core incubations at different salinity levels. Squares, no added NaCl; circles, 1% NaCl; triangles, 2% NaCl. Error bars represent 1 standard deviation of the mean of triplicate incubations.
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FIG. 4. Phylogenetic relationships of eubacterial clones from the oil-utilizing methanogenic consortium with respect to related sequences. The tree is constructed from approximately 800 bp 16S rRNA gene sequence using the neighbor-joining algorithm. One thousand bootstrap replications were performed; only values greater than 750 are shown. The numbers in parentheses following the accession numbers indicates the total number of clones represented by the OTU.
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FIG. 5. Methane production from six different inoculated petroliferous rocks sampled from different formations in Oklahoma relative to an inoculum-only control (line 7). Line 1 represents the sandstone core obtained from Nowata County. Core samples 2 to 6 (lines 2 through 6) are described in the text in Material and Methods. Error bars represent 1 standard deviation of the mean of triplicate incubations.
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The methanogenic decomposition of organic matter requires syntrophic organisms able to convert complex substrates in a series of reactions to acetate and H2 and two types of methanogens to consume these intermediates. Hydrocarbon-degrading consortia are no exception. Indeed, in a study of methanogenic hexadecane metabolism, sequence analysis revealed that most bacterial clones from the consortium were closely related to the genus Syntrophus within the Deltaproteobacteria, whereas archaeal sequences affiliated with both aceticlastic (Methanosaeta) and hydrogenotrophic (Methanospirillum and Methanoculleus) methanogens (43). Similar organisms were also identified in a methanogenic toluene-degrading enrichment (12). Jones et al. (23) found that an oil-degrading consortium derived from river sediment was dominated by Syntrophus sp. and H2/CO2-using methanogens among several other unidentified eubacterial OTUs. The researchers proposed that methanogenic oil biodegradation in the consortium occurs mainly through syntrophic alkane conversion to acetate and H2, with subsequent syntrophic acetate oxidation to CO2, coupled with hydrogenotrophic methanogenesis. This hypothesis was supported by CO2 isotopic signature data, both measured and modeled, suggesting that CO2 reduction to methane predominates in biodegraded reservoirs (23). In our residual oil-degrading inoculum, the predominant archaeal sequences retrieved most closely affiliated with the genus Methanosaeta, which suggests that aceticlastic methanogenesis can also be an important pathway for methane production from oil. In a consistent fashion, when BESA was added to residual-oil-amended incubations to inhibit methanogenesis, acetate was found to accumulate relative to uninhibited incubations. Nevertheless, we also obtained sequences indicating the presence of Methanoculleus sp. in the consortium, albeit in low abundance, so H2/CO2-based methane production is also a relevant process, but possibly to a lesser extent. The finding of predominantly aceticlastic methanogens in our inoculum is consistent with the findings of in a separate investigation, wherein methanogenesis was the predominant fate of acetate even in the presence of sulfate, with 95% (180 out of 190) of the sequenced archaeal clones found to affiliate with members of the Methanosaetaceae (33). Our observation of significant methane production from residual oil in the presence of 10 mM sulfate agrees with that study (33) in that methanogenesis is the preferred electron-accepting process, even in the presence of alternate electron acceptors. It should be noted that the microbial populations in both studies were derived from the same gas-condensate-contaminated aquifer. The predominant or particular route of hydrocarbon metabolism to methane likely varies with the source of a given consortium (7, 28).
Fermentative bacteria such as the Clostridia present in the inoculum are currently not known to directly catalyze alkane transformations, but probably utilize various hydrocarbon intermediates to generate methanogenic precursors. However, it has recently been speculated that such traditional fermentative organisms may be able to oxidize hydrocarbons (24). In contrast, SRB have definitely been shown to utilize oil components directly (e.g., see references 6 and 41). Individually, SRB have a relatively narrow substrate range (5, 41), so a complex assemblage of organisms to metabolize the range of components in oil is consistent with our observations. Some members of the Desulfotomaculum cluster I organisms, typically known as gram-positive SRB, have lost the ability for sulfate respiration and opt for a syntrophic lifestyle in concert with methanogens (21). Based on its phylogenetic position, we can only speculate that the Cryptanaerobacter clone E449-8 (Fig. 4) plays a comparable role in our culture.
As has been found by others who have examined oil field environments (26, 28), many of our sequences show no close affiliation to 16S rRNA eubacterial gene sequences from named strains (e.g., lg1a03, which has 91.8% similarity to Clostridium akagii; lg1c04, which has 86% similarity to Cryptanaerobacter phenolicus; and lg1f05, which has 86.7% similarity to Ruminococcus sp. strain CCUG 37327). The repeated occurrence of 16S rRNA gene sequences from environmental clones similar to that of lg1f04 has been noted (42) and designated "cluster TA" in recognition of their distance from sequences of named strains (e.g., 82.2% 16S rRNA gene sequence similarity to that of Anaeromyxobacter dehalogenans). In addition to the low similarity of many of our 16S rRNA eubacterial gene sequences to those of named species, our clone libraries are too small for us to claim complete representation of the diversity. However, as an examination of diversity by cloning and sequencing entails certain biases (25), it will be important for future research to also use alternative approaches to determine the species composition and physiology in these consortia. Determining the exact function of the consortium members will be of great interest for designing and optimizing methane recovery efforts from marginal domestic reservoirs.
In the United States, energy recovery from marginal wells approximates 1 million barrels of oil per day, which equates to about 19% of domestic oil production (www.fossil.energy.gov/programs/oilgas/marginalwells/index.html). It may be possible to increase this percentage by converting a portion of the oil in marginal wells to methane. The extent of the effect can be extrapolated from our data to determine how much methane can theoretically be recovered from known domestic U.S. reservoirs (e.g., 375 billion barrels [38]). For example, if we take into account our measured rates of 0.1 to 0.4 µmol methane/day/g core, the average residual oil saturation of our model marginal core (0.013 g oil per gram core), and the density of the model formation oil (0.79 g/ml) and assume that 1% of residual oil supplies (e.g., 3.75 billion barrels) would be amenable to biological transformation, the resulting production could be 3 to 13 Bcf of CH4 per day or 1 to 5 Tcf of CH4 per year, a substantial fraction of current natural gas consumption in the United States, which is nearing 30 Tcf per year (10). While an oversimplification, these calculations provide some insight as to how an oil-to-methane bioconversion process can potentially recover economically valuable energy. As it will likely be necessary to utilize a suite of new methods and processes in combination to meet future world energy demands (16, 39), the microbial conversion of residual oil to natural gas could occupy a niche in energy recovery. Clearly, the nutritional and physiological limits (such as temperature and pressure limits) of the inoculum described here, its ability to migrate through formations, and the engineering design for such an energy recovery scheme will need to be determined.
We thank M. Brackin of Arrow Oil & Gas, Inc., Norman, OK, for the petroliferous sandstone core and formation crude oil from Nowata County, OK, used in this study.
Published ahead of print on 31 March 2008. ![]()
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-subunit (mcrA) genes in rice field soil and enrichment cultures reveal the methanogenic phenotype of a novel archaeal lineage. Environ. Microbiol. 3:194-204.[CrossRef][Medline]
13C composition of gas components. Org. Geochem. 31:1363-1373.[CrossRef]
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