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Applied and Environmental Microbiology, November 2008, p. 6690-6696, Vol. 74, No. 21
0099-2240/08/$08.00+0 doi:10.1128/AEM.00797-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Department of Soil Science, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5A8, Canada
Received 7 April 2008/ Accepted 2 September 2008
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Accumulated evidence from work with fungal isolates indicates that the fungal pathway for the respiratory reduction of nitrogen oxides to nitric oxide (NO) and N2O is different from that of bacteria. Fungal nitric oxide reductase (P450nor) is a cytochrome p450-containing enzyme that receives electrons directly from NADH for the reduction of NO to N2O (32, 58). Consequently, small amounts of O2 (hypoxia) are required to generate NADH from the oxidation of citrate in the tricarboxylic acid cycle (Fig. 1). This is in contrast to bacterial denitrification, where successive enzymes in the pathway are increasingly sensitive to O2 inhibition (44, 59). The O2 requirement for fungal denitrification, however, has not been tested explicitly in soil.
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FIG. 1. Proposed O2- and formate-dependent fungal denitrification pathway developed from the cited works. 1, Kuwazaki et al., 2003 (24); 2, Zhou et al., 2002 (57); 3, Uchimura et al., 2002 (47); 4, Nakahara et al., 1993 (32); 5, Zhou et al., 2001 (58). TCA, tricarboxylic acid cycle; FDH, formate dehydrogenase; NAR, nitrate reductase; NIR, nitrite reductase; Acetyl-CoA, acetyl coenzyme A.
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We hypothesized that soil N2O production by fungi is formate and O2 dependent and that land use and landform influence the proportion of N2O attributable to fungi. Land use factors, such as tillage, have an influence on fungi by physically disturbing the soil (17), while fertilizer applications can have an inhibitory effect on fungi (4, 16). Land use and landform also affect water distribution (18, 30) and the quantity and quality of soil organic matter (48), which, in turn, can affect soil fungi. Using substrate-induced respiration inhibition (SIRIN) under anaerobic and aerobic conditions, in combination with 15N gas analysis, we evaluated the importance of formate and O2 to N2O production by fungi in cultivated and uncultivated soils at the St. Denis National Wildlife Area in Saskatchewan, Canada.
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A digital elevation model was used to subdivide the cultivated wetlands (CW) into convex (CX; topographically high positions with a positive profile curvature that sheds water) and cultivated depression center (CD; level positions, roughly circular in shape, which temporarily collect rain or snowmelt water) landform elements (55). These two landforms represent the extremes in terms of N2O emission, soil moisture conditions, and biological productivity within the cultivated landscape (19, 54, 55). Uncultivated wetlands (UW) were found in nonagricultural portions of the site. These were divided into two landform elements roughly equivalent to those in the cultivated wetlands. Basin centers (BC) are level areas covered by 99 nongrass plant species, collect rain and snowmelt water, and are analogous to the CD elements. Uncultivated wetlands also included nonlevel fringe areas covered with Bromus inermis, termed riparian grass (RG) areas. The RG elements represent the driest areas within uncultivated wetlands and, in this sense, are analogous to CX elements in the cultivated wetlands.
Soil sampling and soil carbon and nitrogen determination.
Three cultivated and three uncultivated wetlands (each constituting a land use replicate [6]) were sampled on 12 September 2006. Five soil cores (0 to 15 cm; 15-cm internal diameter [i.d.]) were collected from the individual landform elements in each of the six wetlands. The cores from each individual landform element were bulked together to form a composite sample for that location, yielding a total of 12 composite samples (2 land uses x 2 landforms x 3 replicates). Samples were transported on ice, and subsamples were collected for soil formate extraction and lyophilization (for phospholipid fatty acid [PLFA] extraction). The remaining soil was air dried just enough (<24 h) to pass through a 2-mm sieve without smearing and stored at –20°C. Inorganic nitrogen (2 M KCl extracts) (28), soil organic carbon (dry combustion) (37), and total nitrogen (Dumas method) (34) were determined by standard methods, and results are listed in Table 1.
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TABLE 1. Organic carbon and mineral and total nitrogen in soils of the St. Denis National Wildlife Area, Saskatchewan, Canadaa
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Preliminary experiments also were conducted to determine the optimal cycloheximide and streptomycin concentrations for use with the CD and BC soils. Optimum concentrations of the inhibitors were determined using a modification of the method described by Laughlin and Stevens (25). The modifications included bringing the soils to 70% WFPS and adding potassium formate (2 mg formate-C g–1 soil; equivalent to about 2% of the maximum soil organic carbon found in the St. Denis soils) and potassium nitrate (80 µg NO3-N g–1 soil; this gave a ratio of soil organic carbon to total N [C/N ratio] of 24:1). The optimum concentration of both cycloheximide and streptomycin was found to be 4 mg inhibitor g–1 soil for the CD soils and 8 mg inhibitor g–1 soil for the BC soils. These levels of inhibitor also were applied to the respective upland soils. Because cycloheximide is soluble only in methanol, the cycloheximide stock solution consisted of 4 g of cycloheximide dissolved in 10 ml of methanol and dispersed in deionized water to a final volume of 50 ml. Streptomycin and control (no-biocide) solutions were made with a similar volume and methanol/water ratio. The addition of the inhibitors resulted in an increase in soil moisture content to approximately 60% WFPS. Thus, the tubes were recapped with Parafilm and incubated in the dark at 23°C for an additional 24 h prior to the addition of the formate and nitrate (11). After adjustment of the soils to a final moisture content of 70% WFPS, the tubes were sealed with butyl-rubber caps and incubated in the dark at 23°C for a 24-h incubation. After 24 h, a 20-ml gas sample was withdrawn from the headspace using a 20-ml disposable syringe equipped with a 25-gauge needle and injected into a preevacuated 12-ml Exetainer vial (Labco Ltd., United Kingdom). Headspace N2O concentrations were determined using a gas chromatograph equipped with an electron capture detector (55).
15N stable isotope incubation with N2O, ammonium, and nitrate analyses.
Modified SIRIN incubations were repeated for the CD and BC soils in which the N substrate was enriched with 15N. That is, the added KNO3 consisted of 78 µg KNO3-N g–1 soil and 2 µg K15NO3-15N g–1 soil (at 98% 15N enrichment). The 15N studies were conducted under both aerobic and anaerobic conditions. Anaerobic systems were prepared by replacing the headspace air in the culture tubes with ultrahigh-purity N2 (i.e., working in an anaerobic chamber under a N2 atmosphere). Gas samples were collected as described for SIRIN incubations, after which the soils were destructively sampled for ammonium and nitrate by extraction with 2 M KCl.
15N-labeled N2O was analyzed by isotope ratio mass spectrometry at the University of California—Davis Stable Isotope Facility (Davis, CA). The fractionation of 15N-labeled N2O was calculated as described by Arah (1) and Stevens et al. (41). The diffusion disk technique described by Stark and Hart (40) and modified by Bedard-Haughn et al. (7) was used to concentrate soil ammonium and nitrate for 15N analysis.
Soil N2O emissions in response to increasing concentrations of formate.
Soils were removed from cold storage, thawed at room temperature, and packed to a 10-ml volume at the bottom of a 55-ml glass culture tube to yield bulk densities similar to those observed in the field. The soil water content was adjusted to 50% WFPS, and the tubes were capped with Parafilm and stored at 4°C for 48 h. The soils were then amended with formate (at concentrations of 0.0, 0.1, 0.2, 0.4, 0.8, and 1.6 nmol formate-C g–1 soil) and adjusted to 70% WFPS; the tubes were then sealed with butyl-rubber caps and incubated in the dark at 23°C for 24 h. Gas sampling and analysis were carried out as described for the SIRIN incubations. The effect of formate additions on N2O emissions was modeled using the Enzyme Kinetics Module (single-substrate model) in SigmaPlot version 9.0 (Systat Software, Inc., San Jose, CA).
Soil formate extraction and analysis.
Soil formate was extracted using the centrifugation drainage technique described by van Hees et al. (50). Extracts were stored at –20°C prior to analysis and were analyzed using the capillary electrophoresis method for anion detection described by Swallow and Low (43). The analyses were carried out using a Waters Quanta 4000 capillary electrophoresis system (Waters Corporation, Millford, MA) equipped with a 60-cm by 75-µm (i.d.) fused silica column. The electrolyte buffer was 5 mM sodium chromate-0.4 mM OFM-BT (Waters Corporation) adjusted to pH 8 with lactic acid and filtered through a 0.45-µm Millipore membrane filter (Millipore, Billerica, MA). Anions were detected at 254 nm using indirect UV detection. Samples and standards were analyzed according to the following sequence: (i) 30-s hydrostatic injection, (ii) 5-min run time at 25 kV, (iii) 1.5-min rinse with 0.1 M NaOH, (iv) 4-min rinse with Nanopure deionized water, and (v) 5-min purge with electrolyte buffer.
PLFA extraction and analysis.
PLFAs were extracted from lyophilized soil samples (4.0 g) using the method described by White et al. (53). Briefly, lipids were extracted from soils in a mixture of methanol, chloroform, and phosphate buffer (2:1:0.8 [vol/vol/vol]). Lipids were separated on silica gel columns (Bond Elut, Varian, Inc., Mississauga, Canada) by sequential applications of chloroform, acetone, and methanol (with the methanol fraction containing the phospholipids) (20). Phospholipids were methylated and separated by using a Hewlett Packard 5890 Series II gas chromatograph equipped with a 25-m by 0.2-mm (i.d.) Ultra 2 column (J&W Scientific; MIDI, Inc., Newark, DE) and a flame ionization detector. Lipid peaks were identified by comparisons of retention times to those in the TSBA version 4.1 and CLIN version 4.0 lipid libraries (MIDI, Inc.). Methylnonadecanoate (19:0) fatty acid (1 µg) was added to each sample as the internal standard before the methylation step (20). The PLFA 18:2
6,9 was used as the fungal biomass marker (2).
Statistical analysis.
The SIRIN and 15N gas data were imported into Minitab (v. 11.21; State College, PA) and analyzed using two-way analysis of variance (ANOVA) with a general linear model (
= 0.1) after verification that the data met the ANOVA assumptions (using the Anderson-Darling test for normality and Bartlett's and Levene's tests for homogeneity of variance). Classification variables were landform and treatment. Because there were significant differences in landform (P = 0.001) and landform versus treatment (P < 0.001), Tukey's pairwise comparison was used to assess the significance of treatment differences within a landform. PLFA data were compared using one-way ANOVA and Tukey's pairwise comparisons with landform as the classification variable.
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FIG. 2. Nitrous oxide emission from a SIRIN assay incubated at 70% WFPS for 24 h. Reported values are means with standard error bars (n = 3). An asterisk above the error bar denotes N2O emission from a treatment incubation with results that were significantly different from those of the control incubation (P < 0.1).
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FIG. 3. SIRIN assay with 15N-labeled nitrate incubated at 70% WFPS for 24 h. Reported values are means with standard error bars (n = 3). (A and B) Total N2O emissions. An asterisk above the error bar denotes N2O emission from a treatment incubation with results that were significantly different from those of the control incubation (P < 0.1). (C and D) Percentage of emitted N2O attributable to denitrification or processes that oxidized 15NO3– to 15N2O.
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FIG. 4. N2O emitted as a function of added formate concentration. Closed circles indicate experimental means of N2O emitted with standard error bars (n = 3); the solid line is the modeled response. Units for Vmax are nanomoles N2O-N nanomoles formate-C–1 day–1. Km has the same units as the x axis. The r2 is the goodness of fit for the nonlinear regression line as determined by the Enzyme Kinetics Module for SigmaPlot 9.0 using the single-substrate (formate) model. Reported soil formate concentrations are means with the standard error in parentheses (nanomoles formate-C grams–1 soil). ND, not detected.
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FIG. 5. Fungal biomass in soil as determined by PLFA extraction. Shown are the mol% of fungal PFLA biomass marker (A) and fungi/bacteria PLFA biomass marker (B). Reported values are means with standard error bars (n = 3). Different letters below error bars denote significant differences ( = 0.1); lowercase letters are used for comparisons between soils of cultivated wetlands, and uppercase letters are used for comparisons between soils of uncultivated wetlands.
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The hyperbolic dependence of N2O emission on formate concentration, as modeled by Michaelis-Menten kinetics, supports our contention, outlined in Fig. 1, that a formate dehydrogenase/nitrate reductase couple and/or a formate-dependent nitrite reductase is directly linked to N2O emissions. The enzymatic characteristics of the formate-dependent N2O emissions differed between soils of water-accumulating landforms (CD and BC) and the soils from the corresponding water-shedding or drier landforms (CX and RG). For example, the higher affinity (lower Km) for formate in CD and BC soils would impart a competitive advantage to those fungi in soils with low soil formate concentrations. Also, the potential maximum formate-dependent N2O emission per unit formate-C (Vmax) was 2.5 to 6 times greater in soils from water-accumulating than from upland landforms. The reported enzymatic parameters and magnitude of the formate-dependent N2O emissions may be underestimated, because experimental additions of formate can encourage nitrogen immobilization by increasing the C/N ratio (29).
Formate stimulated nonfungal N2O emissions. In the bacterial pathway, formate mediates the reduction of nitrate to ammonia (nitrate ammonification) (8), with N2O being released as a result of the nonspecific action of dissimilatory nitrate reductase. Although energetically less favorable than denitrification (42), nitrate ammonification is reported to be the more important process in respiratory nitrate reduction under anaerobic conditions and when nitrate is limiting (44, 45). However, this did not appear to be the case; i.e., we did not observe any 15N enrichment of the ammonium pool as would have been expected. Alternatively, bacteria capable of mixotrophy (e.g., Paracoccus denitrificans) can denitrify nitrate using formate/H2 as an electron donor (38, 39).
Under hypoxic conditions, heterotrophic nitrification may also contribute to N2O release. Evidence suggests this is an important N transformation process for organic N and NH4+ in a variety of soil systems (11, 26, 35). Heterotrophic nitrification derives energy from organic C oxidation rather than NH3 oxidation (23), with N2O being a product of the incomplete oxidation of hydroxylamine. Castaldi and Smith (11) demonstrated that fungal heterotrophic nitrification can be the dominant N2O-emitting process in woodland and arable soils. In addition, heterotrophic nitrifiers produce N2O from denitrification of nitrification products (i.e., fungal nitrifier denitrification) (12). Fungal heterotrophic nitrification would produce primarily 14N2O. Under hypoxic conditions with formate, 15N2O dominated, whereas without formate, only 10% of the N2O was 15N2O. Thus, under hypoxic conditions, there may be two fungal pathways contributing to N2O release: fungal denitrification via P450nor and fungal heterotrophic nitrification. Our results suggest that the relative importance of these two processes is linked to soil formate concentrations.
Nitrous oxide emissions associated with fungi were landform, but not land use, dependent. It is often reported that fungal biomass is greater in native (uncultivated) soils than in adjacent cultivated soils and that fungal biomass increases with decreasing land use intensity (e.g., in no-tillage versus conventional-tillage soils) (13, 14, 17). Such was not the case in the present study; instead, differences in the fungal community appeared to be linked to landscape position (i.e., landform) through its influence on water redistribution. For example, fungal biomass (mycorrhizal and saprotrophic) has been shown to decline in soils that experience periods of flooding or high soil water content (30). This presumably reflects decreased mycorrhizal associations (33) or decreased saprotrophic activity under conditions of decreased O2 availability imposed during these periods.
We did not observe fungus-linked N2O emissions in the CX and RG landforms on the basis of our cycloheximide inhibition experiment. The cycloheximide concentrations were optimized for the CD and BC landforms and then applied to the CX and RG landforms. We hypothesized that since soils of CD and BC landforms have the highest levels of organic matter (Table 1), the levels of cycloheximide that inhibit fungi in these soils would be effective in the soils of water-shedding landforms, CX and RG. If this was incorrect, we may have underestimated the importance of fungus-linked N2O emissions in the water-shedding landform elements.
Technical limitations and questions associated with the specificity of the inhibitors and substrate (formate) dictate that future investigations will require novel ideas to validate the findings of this work. To validate the specific activity of the inhibitors, quantification of 18S and 16S rRNA gene fragments or transcripts (36) could shed light on how the 18S or 16S pool is affected by the different inhibitor treatments. Isolation and characterization of the P450nor and formate dehydrogenase enzymes by mass spectrometry (32, 47) from soil would provide credence to our hypothesis as shown in Fig. 1. Inoculation with and activity monitoring of fungi with wild-type and mutant genotypes of these two enzymes into soil may also support our arguments.
For the first time, soil N2O emissions related to fungi are linked to soil formate concentration and O2 availability. This finding poses interesting management considerations. First, the selection of crop varieties that exude smaller amounts of formate (9) could mitigate N2O production from fungi in areas where fungal denitrification is prevalent. Second, the benefits of improved soil fertility and plant growth through H2 release from nodules of legumes (15, 27) could be countered by increased N2O production from soil fungi because of formate production from H2 and CO2 (21).
Published ahead of print on 12 September 2008. ![]()
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6,9 as biomarkers for fungi in boreal forest soils. Soil Biol. Biochem. 38:3431-3435.[CrossRef]
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