Abstract
Methane production has been observed in a number of hypersaline environments, and it is generally thought that this methane is produced through the use of noncompetitive substrates, such as the methylamines, dimethylsulfide and methanol. Stable isotope measurements of the produced methane have also suggested that the methanogens are operating under conditions of substrate limitation. Here, substrate limitation in gypsum-hosted endoevaporite and soft-mat hypersaline environments was investigated by the addition of trimethylamine, a noncompetitive substrate for methanogenesis, and dried microbial mat, a source of natural organic matter. The δ13C values of the methane produced after amendments were compared to those in unamended control vials. At all hypersaline sites investigated, the δ13C values of the methane produced in the amended vials were statistically lower (by 10 to 71‰) than the unamended controls, supporting the hypothesis of substrate limitation at these sites. When substrates were added to the incubation vials, the methanogens within the vials fractionated carbon isotopes to a greater degree, resulting in the production of more 13C-depleted methane. Trimethylamine-amended samples produced lower methane δ13C values than the mat-amended samples. This difference in the δ13C values between the two types of amendments could be due to differences in isotope fractionation associated with the dominant methane production pathway (or substrate used) within the vials, with trimethylamine being the main substrate used in the trimethylamine-amended vials. It is hypothesized that increased natural organic matter in the mat-amended vials would increase fermentation rates, leading to higher H2 concentrations and increased CO2/H2 methanogenesis.
INTRODUCTION
Both soft and gypsum-hosted endoevaporite microbial mats can be found in hypersaline environments, with soft mats dominating at lower salinities and endoevaporites at higher salinities (see, for example, reference 1). Organisms living in these hypersaline microbial mat environments need to be able to regulate osmotic pressures within the cell, and most do it using organic solutes (2), with glycine betaine found to be one of the leading organic osmotic solutes (3). Glycine betaine degrades to trimethylamine (TMA) (4, 5), which is a substrate that can be used by methanogens within the mat. Although the two main substrates used by methanogens are CO2/H2 and acetate, high sulfate concentrations in hypersaline environments and the well-known competition for H2 and acetate between sulfate reducers and methanogens (6) allow the noncompetitive substrates, such as TMA, to be the dominant substrates used by methanogens in hypersaline environments (7–9). Other noncompetitive substrates include methanol, which is an end product of pectin degradation (10) and can be produced by phytoplankton (11), and dimethylsulfide, which is derived from dimethylsulfionopropionate, an osmolyte found in higher plants and algae (12).
Sources of methane, whether biogenic (produced by methanogenic Archaea using the substrates above) or thermogenic (produced from the breakdown of organic matter under high temperatures and pressures), can be identified by their stable isotopic composition. Biogenic methane results in δ13C values below ∼−50‰ and thermogenic methane in δ13C values above ∼−50‰ (13). Oxidation of the produced methane can affect this delineation, since oxidation results in the remaining methane becoming enriched in the heavier isotopes of both C and H (14). In recent work, Tazaz et al. (1) reported biogenic methane produced at hypersaline sites, with no evidence of oxidation occurring, having δ13C values greater than −50‰, with some as high as −35‰, which fall considerably outside the range generally considered biogenic. The most 13C-enriched biogenic methane was produced from the gypsum-hosted endoevaporite mats, as opposed to soft microbial mats, which were also found at their sites (1). These anomalously high, 13C-enriched δ13C values for biogenic methane have been hypothesized to be the result of substrate limitation occurring within the gypsum crusts (9).
In the present study, the generality of this hypothesis was tested at additional hypersaline sites in the Atacama Desert of Chile, as well as sites in Guerrero Negro, Mexico (also examined in references 1 and 9). Methane production rates and isotopic composition, as well as particulate organic carbon (POC) content and δ13C values, were measured at these sites, which contain both soft microbial mats and endoevaporite mats. Since TMA is the main substrate used by methanogens at hypersaline sites (see, for example, references 7, 8, and 9), high concentrations of TMA were added to incubation vials to alleviate substrate limitation, and the stable isotopic composition of the methane produced was determined. In addition, dried, autoclaved soft microbial mat material from a hypersaline environment, a source of natural organic matter, was also added to incubation vials. The resultant δ13C value of the methane produced was measured to ascertain the effects of increased organic matter content on methane production. We found that both TMA-amended and microbial mat-amended samples produced methane with δ13C values much lower than that of the unamended controls. These results indicate that the methanogens are operating under substrate limitation in situ, which can be alleviated by the addition of either methanogenic substrates or precursors of those substrates in the form of natural organic matter.
MATERIALS AND METHODS
Two main field areas were investigated: the salt ponds of the Exportadora de Sal, S.A. de C.V., salt company located in Guerrero Negro, Baja California Sur, Mexico, and the Atacama Desert, northern Chile (Fig. 1). The methane biogeochemistry at the Guerrero Negro salterns, the largest solar salt works in the world, has been studied for a number of years (1, 9, 15–17). At the Guerrero Negro salt works, samples were collected in March 2012 and November 2012 from Areas 1 and 9 (Table 1), with salinities of ∼60 (Area 1) and ∼160 (Area 9) parts per thousand (ppt). The Area 1 samples consisted of soft, thick microbial mats, while Area 9 contained gypsum crusts containing colorful endoevaporitic microbial communities.
TABLE 1.
Siteb | Date | Salinity (ppt) | Temp (°C) | Methane production rate (nmol g−1 day−1) |
Methane δ13C value (‰) |
POC |
|||||
---|---|---|---|---|---|---|---|---|---|---|---|
Control | TMA | Mat | Control | TMA | Mat | Concn (%) | δ13C (‰) | ||||
Soft-microbial-mat/mud sites | |||||||||||
Area 1 | Mar 2012 | 62 | 20 | 5.4 (0.7) | NDc | ND | −56.5 (1.7) | ND | ND | 17.3 (3.0) | −10.8 (0.5) |
Area 1 | Nov 2012 | 60 | 28 | 22.5 (3.8) | 781 (127) | ND | −46.7 (1.3) | −68.1 (4.3) | ND | 10.1 (0.5) | −9.7 (0.2) |
ET2 | May 2012 | 13 | 14 | 6.0 (2.9) | 58.4 (4.2) | 112 (2.7) | −75.0 (4.1) | −78.2 (2.1) | −58.8 (0.7) | 3.2 (0.04) | −17.7 (0.3) |
ET2 | May 2013 | 10 | 3 | 289 (5.1) | 361 (17.5) | 1,910 (158) | −79.0 (0.3) | −79.7 (0.1) | −64.9 (2.0) | 4.2 (0.1) | −14.5 (0.1) |
LL8 | May 2013 | 55 | 26 | 1.3 (0.7) | 1.9 (0.2) | ND | −82.6 (0.3) | −93.1 (1.3) | ND | 2.3 (0.4) | −10.8 (0.0) |
Cejar1 | May 2013 | 45 | 20 | 24.0 (19.3) | 114 (14.5) | ND | −33.1 (5.0) | −81.7 (0.5) | ND | 6.0 (1.3) | −9.7 (0.5) |
Cejar2 | May 2013 | 54 | 22 | 7.8 (0.9) | 39.5(15.9) | ND | −37.8 (1.0) | −82.6 (1.5) | ND | 1.8 (0.3) | −11.0 (0.2) |
Chaxa1 | May 2013 | 102 | 20 | 30.4 (4.5) | 193 (7.2) | ND | −30.9 (0.8) | −76.7 (0.4) | ND | 3.2 (0.4) | −5.5 (0.2) |
Gypsum-hosted endoevaporite mat sites | |||||||||||
Area 9 | Mar 2012 | 160 | 21 | 32.4 (4.3) | 127 (17.1) | 6.5 (1.9) | −28.0 (0.2) | −67.2 (6.6) | −66.0 (1.0) | 0.4 (0.1) | −14.6 (0.2) |
Area 9 | Nov 2012 | 158 | 23 | 21.5 (5.5) | 28.0 (8.5) | 4.7 (0.2) | −52.7 (4.7) | −79.2 (1.4) | −64.8 (0.6) | 0.2 (0.0) | −14.7 (0.2) |
LL1 | May 2012 | 130 | 26 | 0.4 (0.1) | ND | ND | −37.0 (1.9) | ND | ND | 1.1 (0.3) | −10.0 (0.1) |
LL2 | May 2012 | 138 | 25 | 1.3 (0.4) | 5.4 (2.6) | 83.3 (28.8) | −31.1 (0.6) | −91.8 (2.6) | −41.7 (12.1) | 0.2 (0.02) | −12.0 (0.3) |
LL2 | May 2013 | 128 | 22 | 1.1 (0.4) | 3.6 (0.4) | ND | −20.2 (2.7) | −90.8 (1.0) | ND | 0.3 (0.03) | −12.1 (0.2) |
LL3 | May 2012 | 131 | 27 | 6.8 (1.4) | ND | ND | −32.7 (1.0) | ND | ND | 0.5 (0.2) | −10.6 (0.4) |
LL3 | May 2013 | 132 | 23 | 4.0 (2.5) | 4.5 (1.7) | 7.3 (3.9) | −43.9 (13.1) | −88.1 (1.6) | −64.0 (1.4) | 0.2 (0.04) | −12.2 (0.1) |
Cejar3 | May 2013 | 77 | 13 | 1.0 (0.1) | 1.3 (0.1) | 0.7 (0.2) | −35.0 (4.0) | −86.1 (1.2) | −67.0 (2.1) | 0.1 (0.01) | −13.0 (0.2) |
Error estimates are in parentheses.
That is, sites with methane production rates >0.1 nmol g−1 day−1 for unamended controls.
ND, not determined.
The other sampling sites were located within the Atacama Desert in Chile, the oldest and driest desert on Earth, receiving <1 mm of rainfall annually (18). The Atacama sites were sampled in May 2012 and 2013 (Table 1). In May 2012, samples from three different gypsum crusts (LL1 to LL3) were obtained from the largest of many hypersaline ponds at Salar de Llamara. The salinity of the overlying water was ∼130 ppt. In addition, a small, cool pool, ET2, was sampled at the El Tatio volcanic geyser field, the largest geothermal area in the Southern Hemisphere. The salinity at this site was ∼13 ppt (about 1/3 that of seawater), and the sample consisted of organic-rich muddy sediments (approximately the upper 25 cm was collected). Although this site is not strictly hypersaline (i.e., salinity greater than seawater), it provided a low-salinity end-member. In May 2013, the same sites at Salar de Llamara and El Tatio were again sampled. Another small pool (∼55 ppt) containing a soft microbial mat at the Salar de Llamara was also sampled (LL8). Furthermore, samples from two lagoons, Laguna Cejar and Laguna Chaxa, in the Salar de Atacama were obtained. Three sites at Laguna Cejar, of which the first two (Cejar1 and Cejar2) were soft microbial mats, were sampled. Salinities here were about 50 ppt. Gypsum crust was sampled at Cejar3, which was located near a deep central pool (salinity of ∼77 ppt). The single sample obtained at Laguna Chaxa (Chaxa1) was composed of a thin, soft microbial mat overlying organic-rich mud, with a salinity of ∼100 ppt.
A few other sites, including Areas 10 and 11 at Guerrero Negro, and LL4, a small pond at Salar de Llamara, were also sampled. Little, if any, methane was produced at any of these sites (production rates of ≤0.1 nmol g−1 day−1), so these sites will not be discussed further here.
From each site, samples of soft mat/mud or gypsum-hosted endoevaporite mat and overlying pond water were collected. Temperature was obtained at the depths where samples were collected. The salinity of site water was measured in the field or shortly thereafter using a hand-held refractometer.
In order to determine methane production rates and δ13C values from the sites, incubations were prepared in 38-ml serum vials using slurries containing approximately 10 to 20 g (ranging from 6 to 25 g) of homogenized soft mat/mud or crust and 10 ml of site water. Prior to use in incubations, site water was bubbled with N2 gas for at least 10 min to remove dissolved O2. Unamended control slurries contained only soft mat/mud or crust and 10 ml of site water, while either TMA or dried microbial mat material was added to additional incubation vials. TMA, with a δ13C value of −40‰, was added to incubation vials to a final concentration of 1,000 μM in order to determine the δ13C values of methane produced when the amount of substrate is not limiting. At a few sites, dried microbial mat material was added (1 g/vial) to slurries to investigate the effects of higher concentrations of organic matter. The mat was obtained from Area 4 of the Exportadora de Sal salt works in Guerrero Negro. The soft microbial mats of Guerrero Negro have been studied over many years (19–25). For the purposes of the present study, the microbial mat was autoclaved to kill any microorganisms and dried to remove moisture; this treatment (autoclaving/drying) would have also removed any volatile compounds, such as TMA. This autoclaved, dried microbial mat had a bulk POC δ13C value of −11‰ and a POC concentration of 12%. Once site water and any amendments were added, all incubation vials were stoppered and the headspaces of all vials were flushed with N2 gas for 5 min to remove any O2 gas in the headspace. Vials were inverted and incubated undisturbed at room temperature in the dark. Before measurements for methane concentrations, the vials were shaken for at least 2 min to drive dissolved methane up into the headspace.
Methane production rates were determined by measuring methane concentration in the headspace of incubation vials at known time intervals. Concentrations were measured with a gas chromatograph equipped with a flame ionization detector and Porapak Q column. The frequency of sampling was adjusted based on how quickly methane concentrations increased in the headspace. Upon reaching concentrations greater than ∼1,000 ppm, an adequate methane concentration for obtaining δ13C values with our instrumentation, samples were frozen (still inverted) to stop biological activity. Incubations lasted anywhere from about 2 days to about 2 months.
A linear regression fitted to a plot of methane concentration over time was used to calculate methane production rates for each incubation vial. Methane production in some samples began to exhibit exponential increases in concentration over time. In these cases, only the initial linear portions of the curves (portions with r2 values of ∼0.9 or greater) were used to determine production rates. Methane production rates were normalized to the total amount of sample incubated and reported in nmol g−1 day−1.
At the end of the incubation, the headspace gas was analyzed for methane δ13C values using a gas chromatograph with a 60-m PoroPLOT capillary column in line with a ThermoQuest Finnigan Delta Plus XL isotope ratio mass spectrometer (IRMS). Samples were thawed and, depending on the headspace methane concentrations, between 25 and 600 μl of gas was injected into the gas chromatograph. For samples that had methane concentrations less than ∼2,000 ppm, a cryofocusing method (26) was used. This cryofocusing method allows for injections of larger volumes of gas for δ13C determinations at lower methane concentrations.
POC content and δ13C values were determined from samples of the soft mat/mud or crust used in the incubation slurries. These samples were collected in triplicate in precombusted (450°C for 6 h) 20-ml glass vials. Each POC sample was refrigerated in the field following collection. Upon return to the laboratory, these samples were dried at approximately 65°C and homogenized using mortar and pestle. Inorganic carbon was removed by treatment with hydrochloric acid (HCl). In accordance with the method of Hedges and Stern (27), each sample was weighed and treated with 2 ml of 1 N HCl daily until all visual signs of chemical reaction between acid and carbonate had ceased. Decarbonation took up to 2 weeks for some samples. After removal of the inorganic carbon, samples were dried again and loaded into tin capsules for elemental and isotopic composition analyses on an elemental analyzer connected through a ConFlo III to the IRMS. POC concentration values were corrected for the amount of salts formed from the addition of acid during the removal of inorganic carbon.
Error estimates for methane production rates, isotopic composition of methane and POC, and POC concentrations are reported as the standard deviations of triplicate samples, except in rare occurrences when one of the triplicate samples was lost due to instrument malfunction or human error. In those cases, half of the range between the two values is reported as the error.
RESULTS
Methane production rates from unamended control incubations varied across sample sites, with no apparent relationship between production rates and salinity (Fig. 2A). As noted above, a few sites produced little to no methane. Of those that had measurable rates, methane production ranged from 0.4 to 289 nmol g−1 day−1 (Table 1). The methane δ13C values also exhibited a very large range (−83 to −20‰) (Table 1), with the higher-salinity, gypsum-hosted sites producing the higher, more 13C-enriched methane δ13C values (Fig. 2B). The methane δ13C values at these gypsum sites were significantly more 13C-enriched than sites containing soft mat/mud (Student t test, P < 0.02).
POC concentrations ranged from 0.1 to 17.3%, with concentrations generally decreasing with increasing salinity (Fig. 2C). The percent POC (%POC) at gypsum-hosted sites was significantly less than the %POC at soft-mat/mud sites (Student t test, P < 0.02). The POC δ13C values ranged from −17.7 to −9.7‰ (Table 1), with no relationship to salinity. The δ13C values of POC at gypsum-hosted sites were not significantly different from soft-mat/mud sites (Student t test, P > 0.4).
When 1,000 μM TMA was added to incubation vials, methane production was increased over the unamended controls, resulting in production rates ranging from 1.3 to 781 nmol g−1 day−1 (Table 1). If all of the methane that was produced came from the added TMA, then between 4 and 61% of the TMA was used, with a median value of 9%. The isotopic composition of the methane that was produced ranged from −93 to −67‰ (Table 1; Fig. 3), with no difference between the lower-salinity, soft-mat/mud sites and the higher-salinity, gypsum-hosted sites (Student t test, P > 0.7). The methane δ13C values, however, were significantly 13C depleted compared to the unamended controls (paired Student t test, P < 0.01).
Dried microbial mat material was added (1 g/vial) to samples from five sites (ET2, LL2, LL3, Cejar3, and Area 9), with ET2 and Area 9 being sampled during two different sampling events. This amount of dried mat material increased organic carbon content in vials at all sites by 1.3- to 7-fold. At the four Atacama sites, methane production rates either increased or were not different than the unamended controls, while at Area 9, rates were decreased by the mat addition. Overall methane production rates of mat-amended vials ranged from 0.7 to 1910 nmol g−1 day−1 (Table 1). The methane δ13C values produced from mat-amended vials ranged from −67 to −42‰ and were generally 13C depleted relative to the unamended controls, although the mat-amended δ13C values were not as 13C depleted as the TMA-amended values (Table 1, Fig. 3). Similar to the TMA-amended vials, the δ13C values from mat-amended, lower-salinity, soft-mat/mud sites were not different from the higher-salinity, gypsum-hosted sites (Student t test, P > 0.8).
DISCUSSION
The main purpose of the present study was to further investigate the biogenic production of methane with anomalously high, 13C-enriched δ13C values by microbial communities living within evaporitic minerals in hypersaline systems. The hypothesis of substrate limitation in these environments was tested by increasing the availability of TMA and organic matter to methanogens and observing any changes in the stable isotopic composition of the methane produced.
Similar to what Tazaz et al. (1) observed, the isotopic composition of methane produced by gypsum-hosted endoevaporite mats at the higher salinity sites was distinctly different from that produced by soft microbial mats/mud at the lower-salinity sites. The gypsum-hosted endoevaporite mats produced methane that was significantly enriched in 13C, with δ13C values ranging from −20 to −53‰. The endoevaporite mats also had significantly lower POC content than the soft microbial mats. It was this relationship between POC and methane δ13C values that first suggested that substrate limitation plays a role in the isotopic composition of the methane (9).
Because the isotopic composition of the methane depends upon the isotopic composition of the substrate from which it is derived, fractionation factors are used to take the source material into account. However, since methane produced from environmental samples is generally derived from more than one substrate, apparent fractionation factors (28, 29) are usually determined. If the POC δ13C value is used as a proxy for all substrates (see, for example, references 9 and 30), then the apparent fractionation factor (α) is calculated as follows: α = (δ13C-POC + 1,000)/(δ13C-CH4 + 1,000), where δ13C-POC and δ13C-CH4 are the stable isotopic compositions of POC and methane, respectively. In Fig. 4 it can be seen that the apparent fractionation factors are significantly higher, indicating more fractionation, for the soft microbial mat/mud sites than the gypsum-hosted endoevaporite mat sites. This suggests that substrate limitation, which decreases isotopic fractionation, may be occurring to a greater extent at the higher-salinity gypsum-hosted sites than at the soft-mat/mud sites.
Adding high concentrations of TMA increased the methane production rates, as expected (Table 1). In addition, the δ13C values of the methane produced in the TMA-amended vials were significantly 13C depleted (paired Student t test, P < 0.01) relative to those produced in the unamended controls (Fig. 3). The TMA-amended vials had methane δ13C values ranging from −93 to −67‰, easily falling within Whiticar's (13) biogenic range. All hypersaline sites, both soft-mat/mud and gypsum-hosted sites, exhibited a shift to lower, more 13C-depleted methane δ13C values with the addition of the TMA. On average, the soft-mat/mud sites shifted to lower values by about 30‰, whereas the average shift for the gypsum-hosted sites was about 50‰ (Fig. 3). This shift to lower, more commonly observed biogenic δ13C methane values occurred at all hypersaline sites (both soft and endoevaporite mat sites), suggesting that substrate limitation may be a widespread phenomenon in hypersaline environments. The only site that did not show a significant decrease in the isotopic composition of methane with added TMA was ET2, the low-salinity mud site from the El Tatio geothermal field. For both years sampled, the unamended controls and the TMA-amended vials produced methane with δ13C values in the low −70s‰ (Table 1). These similar and very 13C-depleted δ13C values suggest that the methanogens at this site were fully fractionating and not experiencing substrate limitation in situ.
It was curious that when dried, autoclaved microbial mat was added as a source of additional organic matter, methane production rates were not stimulated consistently across all sites. Instead, methane production rates increased (or stayed the same) at the Atacama sites, and decreased at Area 9, the only site tested at Guerrero Negro (Table 1). This decrease in methane production was unexpected, as the mat additions increased the organic carbon content in the incubations vials of Area 9 by 5- to 6-fold the original POC concentration (up to 1 to 2% POC in the samples). As noted above, organic carbon content in all vials was increased by 1.3- to 7-fold.
The mechanism by which the microbial mat amendments affected methane production rates and why rates were stimulated at the Atacama sites and inhibited at Area 9 in Guerrero Negro are unclear. One possible explanation is that with the increase in organic carbon content, caused by the addition of microbial mat, fermentation increased. Fermentation produces low-molecular-weight organic molecules, as well as H2 and CO2 (31). Increasing the H2 concentration could let methanogens effectively compete with sulfate reducers for H2, allowing methanogenesis by CO2 reduction to occur. Increased fermentation and organic matter remineralization in the mat-amended vials is supported by higher headspace CO2 concentrations in the mat-amended vials relative to unamended control vials (32). Although this explanation is consistent with increased methane production rates at the Atacama sites, it does not explain the inhibition observed at Area 9, since the methanogens at Area 9 should still produce methane at unamended control rates by using the substrates already present. However, if increased fermentation and growth of fermenters occurred, then competition for the osmolyte glycine betaine may have also occurred. Because of the energetic expense of biosynthesis, most halophilic or halotolerant heterotrophic microorganisms accumulate glycine betaine from the environment rather than synthesize it themselves (3, 33). If competition for any glycine betaine in the medium occurred, then this may have lessened the amount of TMA (derived from glycine betaine) in the environment, reducing the amount of methane produced from TMA and allowing for the grow-in of CO2 reducing methanogens. Hydrogenotrophic (CO2 reducing) methanogens are either not active or active to a small extent in the Guerrero Negro ponds and yet will increase in number when conditions become favorable (34, 35). At the Atacama sites, preliminary data from both Salar de Llamara and El Tatio suggest that the most abundant methanogens are members of the orders Methanomicrobiales and Methanobacteriales (B. Valenzuela et al., unpublished data). All members of both orders can use CO2/H2 (36); so if H2 concentrations had in fact increased, methanogenesis could have immediately increased. Unfortunately, it is unknown whether H2 concentrations were higher in mat-amended vials, since H2 concentrations were not measured.
Similar to the TMA-amended vials, the methane δ13C values of the mat-amended vials at the gypsum-hosted hypersaline sites, including Area 9, were also 13C depleted, with values ranging from −67 to −42‰ (Table 1). The methane δ13C values produced in mat-amended vials at site ET2, the only soft-mat/mud site tested, were higher than the unamended controls, rising from approximately −77 to −62‰ (averaged between sampling events/years). This mat-amended δ13C value for ET2 (−62‰) is similar to the average of the gypsum-hosted sites (−61‰) (Fig. 3), suggesting a similar methanogenic pathway in these vials, perhaps CO2 reduction.
Apparent fractionation factors have been used to infer pathways of methanogenesis in natural environments (30), since methanogens will fractionate carbon isotopes to various degrees depending on the substrate used (13, 29). The substrates can be ordered based on the amount of fractionation that occurs. This ordering, from least to greatest fractionation (with fractionation factors indicated in parentheses), is as follows: acetate (1.01 to 1.03), dimethylsulfide (1.04 to 1.05), CO2/H2 (1.03 to 1.08), trimethylamine (1.05 to 1.07), and methanol (1.07 to 1.09) (29, 37–39). The process of CO2 reduction has been the most widely studied methane production pathway, encompassing both culture and environmental studies (29), which may explain why the widest range of fractionation factors is reported for this process. Although there is full overlap between fractionation factors for CO2/H2 and TMA, TMA falls at the higher end of the range (29, 39).
Unfortunately, because substrate limitation reduces isotopic fractionation, we cannot infer in situ pathways of methanogenesis from the unamended control vials using the above literature fractionation factors, since those fractionation factors were generally determined under nonlimiting conditions. However, with the TMA and mat amendments, substrate limitation appears to be alleviated based on the 13C-depleted methane δ13C values relative to the controls and the fact that, on average, <20% of the TMA was used in the TMA-amended vials (median value = 9%). However, two hypersaline sites used more than 35% of the TMA amendment (Area 9 [March 2012] and Area 1 [November 2012]), if all of the methane produced came from the added TMA. These two sites had TMA-amended methane δ13C values closer to the added TMA isotopic value (−40‰) than the other sites (Table 1) and so may not have been fractionating to the full extent possible. However, these two sites were still almost 30‰ more 13C depleted than the added TMA.
The methane δ13C values for the TMA-amended vials (−93 to −67‰) were consistently more 13C depleted than those for the mat-amended vials (−67 to −42‰) (Fig. 3), pointing toward differences in pathways for methane production in these two amendment treatments. Within these treatment vials, the methane carbon can be derived both from the POC in situ and from the amendment, whether TMA or mat material.
To determine apparent fractionation factors for the mat-amended vials, isotopic mass balance calculations can be used to calculate the isotopic composition of the total organic carbon (POC plus mat addition) within the vials. Because of the low %POC at the gypsum-hosted endoevaporite mat sites (Table 1), the calculated isotopic composition of total organic matter within these mat-amended vials was dominated by the mat (−11‰), with δ13C values ranging from −11.6 to −11.2‰. At the ET2 site, with its higher %POC (Table 1), the calculated isotopic compositions of total organic matter within the mat-amended vials were −16.0‰ in May 2012 and −13. 8‰ in May 2013. The apparent fractionation factors determined using these δ13C values of the total organic carbon within the mat-amended vials, along with the δ13C values of the resultant methane, range from 1.03 to 1.06. These factors are in the range of those determined for CO2 reduction (29), supporting the hypothesis of increased fermentation and H2 production leading to CO2/H2 methanogenesis with mat addition.
It would also be satisfying to calculate apparent fractionation factors for the TMA-amended vials to show that they fall within the range for TMA use from the literature. Although it is apparent that TMA is used for methanogenesis in the TMA-amended vials, determining apparent fractionation factors in this case is not easily accomplished. This is due to the large difference in δ13C values between the TMA added (−40‰) and the POC in situ (−18 to −6‰) and to the fact that we do not know how much of either is used. If only added TMA was used to produce the methane, then the fractionation factors average 1.05 (range, 1.03 to 1.06). Presumably, some in situ TMA, as well as other substrates, was also used to some extent. If only POC-derived substrates were used (assuming these substrates, which would be part of the dissolved organic carbon pool, have similar isotope values as the POC [40]), apparent fractionation factors average 1.08 (range, 1.06 to 1.09). Simplistically, if half of the methane was produced by the added TMA and the other half derived from the POC, then apparent fractionation factors would average 1.06, a value that falls within the range for TMA use as determined by Summons et al. (38) and Londry et al. (39).
The data described here show that when either TMA or dried microbial mat (as a source of natural organic matter) was added to incubation vials, the isotopic composition of the methane produced had significantly lower 13C-depleted δ13C values at all hypersaline sites examined. This suggests that substrate limitation for methanogenesis may be a widespread phenomenon at these sites, with greater limitation (and so less fractionation) occurring at the gypsum-hosted endoevaporite sites than at soft-mat/mud sites. The δ13C values of methane measured from TMA-amended vials were also significantly more 13C depleted than methane from the mat-amended vials. This is consistent with greater fermentation in the mat-amended vials that could have allowed for a marked increase in methane production from CO2/H2 in these vials.
ACKNOWLEDGMENTS
This study was supported by NASA exobiology grants to C.A.K. and B.M.B.
We thank Exportadora de Sal, S.A., for access to field sites in Guerrero Negro, Mexico. We also thank Alfonso Davila, Jonathan García, José García Maldonado, and Bernardita Velenzuela for logistical and field help.
Footnotes
Published ahead of print 19 September 2014
REFERENCES
- 1.Tazaz AM, Bebout BM, Kelley CA, Poole J, Chanton JP. 2013. Redefining the isotopic boundaries of biogenic methane: methane from endoevaporites. Icarus 224:268–275. 10.1016/j.icarus.2012.06.008. [DOI] [Google Scholar]
- 2.Oren A. 2011. Thermodynamic limits to microbial life at high salt concentrations. Environ. Microbiol. 13:1908–1923. 10.1111/j.1462-2920.2010.02365.x. [DOI] [PubMed] [Google Scholar]
- 3.Oren A, Elevi Bardavid R, Kandel N, Aizenshtat Z, Jehlička J. 2013. Glycine betaine is the main organic osmotic solute in a stratified microbial community in a hypersaline evaporitic gypsum crust. Extremophiles 17:445–451. 10.1007/s00792-013-0522-z. [DOI] [PubMed] [Google Scholar]
- 4.Reed RH, Chudek JA, Foster R, Stewart WDP. 1984. Osmotic adjustment in cyanobacteria from hypersaline environments. Arch. Microbiol. 138:333–337. 10.1007/BF00410900. [DOI] [Google Scholar]
- 5.Oren A. 1990. Formation and breakdown of glycine betaine and trimethylamine in hypersaline environments. Antonie Van Leeuwenhoek 58:291–298. 10.1007/BF00399342. [DOI] [PubMed] [Google Scholar]
- 6.Reeburgh WS. 2007. Oceanic methane biogeochemistry. Chem. Rev. 107:486–513. 10.1021/cr050362v. [DOI] [PubMed] [Google Scholar]
- 7.Oremland RS, Polcin S. 1982. Methanogenesis and sulfate reduction: competitive and noncompetitive substrates in estuarine sediments. Appl. Environ. Microbiol. 44:1270–1276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.King GM. 1988. Methanogenesis from methylated amines in a hypersaline algal mat. Appl. Environ. Microbiol. 54:130–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kelley CA, Poole JA, Tazaz AM, Chanton JP, Bebout BM. 2012. Substrate limitation for methanogenesis in hypersaline environments. Astrobiology 12:89–97. 10.1089/ast.2011.0703. [DOI] [PubMed] [Google Scholar]
- 10.Schink B, Zeikus JG. 1982. Microbial ecology of pectin decomposition in anoxic lake sediments. J. Gen. Microbiol. 128:393–404. [Google Scholar]
- 11.Mincer TJ, Aicher AC. 2013. Production of methanol by a wide phylogenetic array of phytoplankton and implications for epibiont interactions, abstr. 12040 Abstr. ASLO 2013 Aquat. Sci. Meet. Association for the Sciences of Limnology and Oceanography, Waco, TX. [Google Scholar]
- 12.Capone DG, Kiene RP. 1988. Comparison of microbial dynamics in marine and freshwater sediments: contrasts in anaerobic carbon catabolism. Limnol. Oceanogr. 33:725–749. 10.4319/lo.1988.33.4_part_2.0725. [DOI] [Google Scholar]
- 13.Whiticar MJ. 1999. Carbon and hydrogen isotope systematics of bacterial formation and oxidation of methane. Chem. Geol. 161:291–314. 10.1016/S0009-2541(99)00092-3. [DOI] [Google Scholar]
- 14.Coleman DD, Risatti JB, Schoell M. 1981. Fractionation of carbon and hydrogen isotopes by methane-oxidizing bacteria. Geochim. Cosmochim. Acta 45:1033–1037. 10.1016/0016-7037(81)90129-0. [DOI] [Google Scholar]
- 15.Bebout BM, Hoehler TM, Thamdrup B, Albert D, Carpenter SP, Hogan M, Turk K, Des Marais DJ. 2004. Methane production by microbial mats under low sulfate concentrations. Geobiology 2:87–96. 10.1111/j.1472-4677.2004.00024.x. [DOI] [Google Scholar]
- 16.Kelley CA, Prufert-Bebout LE, Bebout BM. 2006. Changes in carbon cycling ascertained by stable isotopic analyses in a hypersaline microbial mat. J. Geophys. Res. 111:GO4012, 10.1029/2006JG000212. [DOI] [Google Scholar]
- 17.Orphan VJ, Jahnke LL, Embaye T, Turk KA, Pernthaler A, Summons RE, Des Marais DJ. 2008. Characterization and spatial distribution of methanogens and methanogenic biosignatures in hypersaline microbial mats of Baja California. Geobiology 6:376–393. 10.1111/j.1472-4669.2008.00166.x. [DOI] [PubMed] [Google Scholar]
- 18.McKay CP, Friedmann EI, Gómez-Silva B, Cáceres-Villanueva L, Andersen D, Landheim R. 2003. Temperature and moisture conditions for life in the extreme arid regions of the Atacama Desert: four years of observations including the El Niño of 1997-1998. Astrobiology 3:393–406. 10.1089/153110703769016460. [DOI] [PubMed] [Google Scholar]
- 19.Javor BJ, Castenholz RW. 1980. Laminated microbial mats, Laguna Guerrero Negro, Mexico. Geomicrobiol. J. 2:237–273. [Google Scholar]
- 20.Des Marais DJ, Cohen Y, Nguyen H, Cheatham M, Cheatham T, Munoz E. 1989. Carbon isotopic trends in the hypersaline ponds and microbial mats at Guerrero Negro, Baja California Sur, Mexico: implications for precambrian stromatolites, p 191–203 In Cohen Y, Rosenberg E. (ed), Microbial mats: physiological ecology of benthic microbial communities. ASM Press, Washington, DC. [Google Scholar]
- 21.Canfield DE, Des Marais DJ. 1993. Biogeochemical cycles of carbon, sulfur, and free oxygen in a microbial mat. Geochim. Cosmochim. Acta 57:3971–3984. 10.1016/0016-7037(93)90347-Y. [DOI] [PubMed] [Google Scholar]
- 22.Des Marais DJ. 1995. The biogeochemistry of hypersaline microbial mats. Adv. Microb. Ecol. 14:251–274. 10.1007/978-1-4684-7724-5_6. [DOI] [PubMed] [Google Scholar]
- 23.Bebout BM, Carpenter SP, Des Marais DJ, Discipulo M, Embaye T, Garcia-Pichel F, Hoehler TM, Hogan M, Jahnke LL, Keller RM, Miller SR, Profert-Bebout LE, Raleigh C, Rothrock M, Turk K. 2002. Long-term manipulations of intact microbial mat communities in a greenhouse collaborator: simulating Earth's present and past field environments. Astrobiology 2:383–402. 10.1089/153110702762470491. [DOI] [PubMed] [Google Scholar]
- 24.Ley RE, Harris JK, Wilcox J, Spear JR, Miller SR, Bebout BM, Maresca JA, Bryant DA, Sogin ML, Pace NR. 2006. Unexpected diversity and complexity of the Guerrero Negro hypersaline microbial mat. Appl. Environ. Microbiol. 72:3685–3695. 10.1128/AEM.72.5.3685-3695.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Huerta-Diaz MA, Delgadillo-Hinojosa F, Siqueiros-Valencia A, Valdivieso-Ojeda J, Reimer JJ, Segovia-Zavala JA. 2012. Millimeter-scale resolution of trace metal distributions in microbial mats from a hypersaline environment in Baja California, Mexico. Geobiology 10:531–547. 10.1111/gbi.12008. [DOI] [PubMed] [Google Scholar]
- 26.Rice AL, Gotoh AA, Ajie HO, Tyler SC. 2001. High precision continuous-flow measurement of δ13C and δD of atmospheric CH4. Anal. Chem. 73:4104–4110. 10.1021/ac0155106. [DOI] [PubMed] [Google Scholar]
- 27.Hedges JI, Stern JH. 1983. Carbon and nitrogen determinations of carbonate-containing soils. Limnol. Oceanogr. 29:657–663. [Google Scholar]
- 28.Chanton J, Chaser L, Glaser P, Siegel D. 2005. Carbon and hydrogen isotopic effects in microbial methane from terrestrial environments, p 85–105 In Flanangan LB, Ehleringer JR, Pataki DE. (ed), Stable isotopes and biosphere-atmosphere interactions: physiological ecology series. Elsevier Academic Press, London, United Kingdom. [Google Scholar]
- 29.Conrad R. 2005. Quantification of methanogenic pathways using stable carbon isotopic signatures: a review and a proposal. Org. Geochem. 36:739–752. 10.1016/j.orggeochem.2004.09.006. [DOI] [Google Scholar]
- 30.Potter EG, Bebout BM, Kelley CA. 2009. Isotopic composition of methane and inferred methanogenic substrates along a salinity gradient in a hypersaline microbial mat system. Astrobiology 9:383–390. 10.1089/ast.2008.0260. [DOI] [PubMed] [Google Scholar]
- 31.Wüst PK, Horn MA, Drake HL. 2009. Trophic links between fermenters and methanogens in a moderately acidic fen soil. Environ. Microbiol. 11:1395–1409. 10.1111/j.1462-2920.2009.01867.x. [DOI] [PubMed] [Google Scholar]
- 32.Nicholson BE. 2013. Effect of increasing trimethylamine and organic matter concentration on stable carbon isotopes of methane produced in hypersaline, substrate limited environments. M.S. thesis University of Missouri, Columbia, MO. [Google Scholar]
- 33.Oren A. 2001. The bioenergetics basis for the decrease in metabolic diversity at increasing salt concentrations: implications for the functioning of salt lake ecosystems. Hydrobiologia 466:61–72. 10.1023/A:1014557116838. [DOI] [Google Scholar]
- 34.García-Maldonado JQ, Bebout BM, Everroad RC, López-Cortéz A. 10 August 2014. Evidence of novel phylogenetic lineages of methanogenic Archaea from hypersaline microbial mats. Microb. Ecol. 10.1007/s00248-014-0473-7. [DOI] [PubMed] [Google Scholar]
- 35.Smith JM, Green SJ, Kelley CA, Prufert-Bebout L, Bebout BM. 2008. Shifts in methanogen community structure and function associated with long-term manipulation of sulfate and salinity in a hypersaline microbial mat. Environ. Microbiol. 10:386–394. 10.1111/j.1462-2920.2007.01459.x. [DOI] [PubMed] [Google Scholar]
- 36.Garcia J-L, Patel BKC, Ollivier B. 2000. Taxonomic, phylogenetic, and ecological diversity of methanogenic Archaea. Anaerobe 6:205–226. 10.1006/anae.2000.0345. [DOI] [PubMed] [Google Scholar]
- 37.Krzycki JA, Kenealy WR, DeNiro MJ, Zeikus JG. 1987. Stable carbon isotope fractionation by Methanosarcina barkeri during methanogenesis from acetate, methanol, or carbon dioxide-hydrogen. Appl. Environ. Microbiol. 53:2597–2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Summons RE, Franzmann PD, Nichols PD. 1998. Carbon isotopic fractionation associated with methylotrophic methanogenesis. Org. Geochem. 28:465–475. 10.1016/S0146-6380(98)00011-4. [DOI] [Google Scholar]
- 39.Londry KL, Dawson KG, Grover HD, Summons RE, Bradley AS. 2008. Stable carbon isotope fractionation between substrates and products of Methanosarcina barkeri. Org. Geochem. 39:608–621. 10.1016/j.orggeochem.2008.03.002. [DOI] [Google Scholar]
- 40.Bauer JE, Haddad RI, Des Marais DJ. 1991. Method for determining stable isotope ratios of dissolved organic carbon in interstitial and other natural marine waters. Mar. Chem. 33:335–351. 10.1016/0304-4203(91)90076-9. [DOI] [PubMed] [Google Scholar]