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Applied and Environmental Microbiology, January 2005, p. 197-206, Vol. 71, No. 1
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.1.197-206.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
J. Jason L. Cantera,1
Mark E. Fenn,2 and
Lisa Y. Stein1*
Department of Environmental Sciences, University of California, Riverside,1 Forest Fire Laboratory, Pacific Southwest Research Station, USDA Forest Service, Riverside, California2
Received 5 February 2004/ Accepted 10 August 2004
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It has been hypothesized that microbial activity, nitrification in particular, contributes to acidification and nitrate accumulation in soils at CP (13-15, 17, 27). High nitrification rates were demonstrated in laboratory incubations of CP soils without nutrient amendment, which accumulated nitrate at a rate of 1.0 mg kg of soil1 day1 and depleted the residual soil ammonium within 1 week (17). In contrast, soils from the eastern side of the pollution gradient at BF had slower rates of nitrification and took five times longer to deplete the residual ammonium. Higher nitrification rates at CP were also inferred from enrichments in the pool of 15NH4+-N in CP soils relative to that in soils from a study site 10 km down gradient (27). Furthermore, water and soils from other N-impacted forested ecosystems had depleted [15N]nitrate pools, suggesting that nitrification activity is commonly responsible for elevated nitrate concentrations in these systems (7, 8). It is widely thought that nitrification in acidic soils relies on the activities of autotrophic AOB despite their sensitivity to low pH when cultivated (11).
Autotrophic AOB are comprised of tightly clustered lineages within the ß-subgroup and a lineage within the
-subgroup of the Proteobacteria (26). The application of molecular fingerprinting techniques using 16S rRNA genes has significantly increased our understanding of the global ecology and distribution of autotrophic AOB (29). In terrestrial ecosystems, the dominant autotrophic AOB include species of Nitrosomonas and Nitrosospira, which can be further divided into nine distinct taxonomic clusters (43, 46). A number of studies have clearly demonstrated that specific environmental switches or factors, such as ammonia availability, organic matter content, and pH, select for particular clusters. For example, agricultural and forest soils tend to be dominated by Nitrosospira clusters 2, 3, and 4 (6, 21, 28, 30, 32, 35, 41, 45), whereas soils with high ammonia content are generally dominated by Nitrosospira cluster 1 or 3 and representatives of Nitrosomonas spp. (3, 31, 32, 38). Nitrosospira cluster 4 is typically dominant in unimproved soils with low ammonia content, including coniferous forest soils in Oregon (31, 32, 37). Sequences affiliated with Nitrosospira cluster 2 have often been associated with acidic soils (33, 45). For example, a recent study of autotrophic AOB in an acidic N-saturated forest soil revealed numerous gene clones from Nitrosospira cluster 2 that were close relatives to the acid-tolerant cultivar, Nitrosospira sp. strain AHB1 (33). In the present study, we used similar molecular approaches with 16S rRNA genes combined with activity measurements to characterize the role of autotrophic AOB populations in N-saturated, acidic, mixed-conifer forest soils.
We hypothesized that the composition, abundance, and activity of autotrophic AOB were positively correlated to the degree of nitrogen saturation in the soils. The San Bernardino Mountain forest soils are unique in that they are exposed to unusually high levels of nitrogen deposition under a Mediterranean climate. The soils are relatively unweathered and naturally high in base cations compared to more mesic forested areas (13). As a result of the Mediterranean climate, dry nitrogen deposition plays a dominant role during the long dry summers, in contrast to much of northern Europe and northeastern North America, where a larger fraction of nitrogen deposition occurs as acidic precipitation (5). Furthermore, deposition of nitrogen in fog is also substantial in the San Bernardino Mountains, particularly in the spring and fall (18). These forest soils are also unique in that nitrate concentrations at the most N-impacted site are considerably higher than in any other soil previously reported in the literature (16, 17). To our knowledge, there have been no other autotrophic AOB ecology studies conducted in forest soils impacted by chronic, dry, nitrogen deposition under a Mediterranean climate.
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DNA extraction and generation of 16S rRNA gene clone libraries.
DNA was extracted directly from the soil using the UltraClean DNA extraction kit (MOBio, Solona Beach, Calif.) and vortex mixing as per the manufacturer's instructions. Due to the presence of contaminating humic material, the DNA was purified further using an additional column from the kit, and the resulting product was diluted 1:10 with deionized, UV-irradiated water. For positive controls, genomic DNA was extracted from pure cultures of Nitrosomonas europaea and Nitrosospira multiformis using a genomic DNA isolation kit according to the manufacturer's instructions (Bio-Rad, Hercules, Calif.). PCR of 16S rRNA genes using soil DNA as template was performed with ßAMOf 161f and ßAMOr1301 primers (34) at annealing temperatures of 55 and 62.5°C. PCR products from each reaction mixture were separately cloned into Escherichia coli TOPO10 cells by using the TA-TOPO PCR cloning kit according to the manufacturer's instructions (Invitrogen, Carlsbad, Calif.).
Clone library analysis.
Insert-containing colonies from each clone library were randomly selected and screened using a second PCR with internal primers that target ß-Proteobacteria AOB (CTO189f and CTO654r) (30) at annealing temperatures of 55 or 62.5°C in correspondence with annealing temperatures used to generate the clone libraries. The clone libraries created and screened at 55°C ensured inclusion of abundant autotrophic AOB gene sequences with mismatches to the CTO primer set, i.e., some Nitrosomonas spp. (30). Alternatively, the clone libraries created and screened at 62.5°C ensured greater specificity, mainly for Nitrosospira spp., that exactly matched the CTO primer set. Clones yielding positive amplification were classified by gene sequencing and/or oligonucleotide hybridization. Complete 1.1-kb 16S rRNA gene sequences were determined by bidirectional sequencing with primers from the cloning vector, using an automated capillary DNA sequencer (model 377; Applied Biosystems). The sequences were compiled using STADEN software (12) and manually aligned to their nearest relatives using ARB (1999 release plus manual uploading of closely related sequences based on BLAST results) (47). No chimeric sequences were identified using the online program CHECK_CHIMERA (Ribosomal Database Project [RDP]). Phylogenetic inferences were calculated using a neighbor-joining algorithm with Kimura two-parameter genetic distances (2:1 transition/transversion ratio). Neighbor-joining and maximum parsimony bootstrap values were calculated separately from 1,000 resampled data sets using PHYLIP (Phylogeny Inference Package). Clone libraries created and screened using PCR annealing temperatures of 55°C mostly contained gene sequences unrelated to ß-Proteobacteria AOB (90% of 600 clones) and included no representative Nitrosomonas spp. and few relatives of Nitrosospira spp. (data not shown). Therefore, our analysis focused on clone libraries generated and screened with PCR annealing temperatures of 62.5°C to characterize dominant Nitrosospira spp. in the soils.
For oligonucleotide hybridization, purified plasmid (1 µg) was transferred onto a Zeta-Probe membrane (Bio-Rad) by using a Mini-Fold I dot blot system (Schleicher & Schuell, Keene, N.H.). Prehybridization and hybridization of membranes with 32P-end-labeled (kit from Promega, Madison, Wis.) oligonucleotides specific for Nitrosospira cluster 2, 3, or 4 (45) were carried out in Z-Hybe buffer (1 mM EDTA, 0.25 M Na2HPO4 [pH 7.2], 7% sodium dodecyl sulfate) at 45°C overnight. Membranes were rinsed free of unbound probe by washing twice (15 min each) with wash buffer (0.2x SSPE [1x SSPE is 0.18 M NaCl, 10 mM NaH2PO4, and 1 mM EDTA; pH 7.7]-0.1% sodium dodecyl sulfate) at room temperature followed by one stringency wash at 2 to 3°C lower than the empirically determined melting temperature for each oligonucleotide, i.e., 42, 50, and 48°C for Nitrosospira clusters 2, 3, and 4, respectively. Membranes were placed onto phosphor storage screens for 1 h and analyzed using a Typhoon PhosphorImager and ImageQuant software (Amersham, Piscataway, N.J.).
qPCR.
Quantitative PCR (qPCR) was carried out using a previously developed primer and probe set (22). The specificities of the primers and probes were verified using the Probe Match program and the RDP database (http://rdp.cme.msu.edu/html/). The forward primer set, CTO189a/b/c, was the most highly conserved and recognized the majority of ß-Proteobacteria AOB, having only a single mismatch that detected Azoarcus spp., whereas the less-specific Taqman probe and reverse primer exactly matched several ß-Proteobacteria 16S rRNA genes outside of the autotrophic AOB group. The annealing temperature of the qPCR assay was optimized using both N. multiformis and N. europaea genomic DNA on the gradient function of the iCycler (Bio-Rad) to maximize specificity of the reaction and ensure detection of all dominant ß-Proteobacteria AOB (i.e., Nitrosospira spp.) in the soils. Although the optimal annealing temperature was higher than the highest calculated melting temperature for the primers, the possibility remained, as with all PCR-based methods, for nonspecific amplification of 16S rRNA genes unrelated to the ß-Proteobacteria AOB. However, the approach of combining specific and nonspecific probes and primers for qPCR has been successfully utilized in other microbial ecology studies (20, 48).
Due to the extreme sensitivity of the qPCR and interference by humic material, soil DNA extracted from a single MOBio Ultra-Clean DNA column was further purified by gel filtration on Sephadex G-100 columns (Island Scientific). Total DNA was carefully quantitated immediately prior to performing qPCR by measuring the intensity of ethidium bromide-stained bands on agarose gels against a dilution series of a 1-kb ladder (Promega), using a Gel Doc documentation system and Quantity One software (Bio-Rad). Quantification of autotrophic AOB abundance in each sample was determined in replicate reaction mixtures against a standard curve of 150 fg to 1.5 ng of N. multiformis genomic DNA. Standard curves generated mean correlation coefficients, PCR efficiency, and slopes of 0.93 ± 5 (mean ± coefficient of variation [CV]), 96% ± 3%, and 3.41 ± 2, respectively. The detection limit of the assay was 500 fg; ca. 200 N. multiformis cells, assuming an average genome mass of 2.3 fg and a single copy of the 16S rRNA gene per genome, as in N. europaea (10), or ca. 0.001% of total extracted DNA from the soils. Three to four separate soil DNA preparations were analyzed in triplicate from each site. To rule out PCR inhibition by humic material in extracted soil DNA, a known concentration of genomic DNA from N. multiformis was mixed with one replicate soil DNA preparation for each experiment. Due to the generally low numbers of autotrophic AOB in the soil DNA preparations, some reactions failed to generate a threshold cycle even though the control sample spiked with N. multiformis DNA amplified with high efficiency (>80%). For these reactions, we assumed that the lower limit of detection was an accurate representation of the autotrophic AOB population and included this number in calculations of the mean percentage of autotrophic AOB in total extracted soil DNA.
Potential nitrification activity of native soils.
Six replicate, composite, sieved, soil samples (5 g, air-dried weight) for each site were placed into glass bottles (125 ml), washed with sodium phosphate buffer (1 mM; pH 7.2), and collected by centrifugation to remove soluble nitrate. The washed soils were resuspended in 50 ml of the same buffer containing NH4Cl (1.5 mM). The slurries were shaken continuously in the dark at 25°C for 3 to 5 days. The pH was adjusted to 7 with NaOH every day over the course of the experiment. Half of the samples were treated with 1% (vol/vol) acetylene to inactivate autotrophic ammonia oxidation activity (24). Aliquots of slurry (2 ml) were taken at 24, 48, 72 and, for September 2002 samples, 115 h. The aliquots were centrifuged, and the supernatants were analyzed for nitrite plus nitrate ions (Rapid Flow analyzer; Alpkem). Headspace samples were analyzed on a gas chromatograph (TCD molecular sieve column; Shimadzu, Kyoto, Japan) to monitor oxygen and acetylene concentrations at the end of each experiment. In addition to the forest soils, slurries of highly drained loamy sand collected from a fertilized turf grass ecosystem (collected from the Coachella Valley in California) with high nitrification activity were monitored for nitrite plus nitrate production as a positive control.
Ammonia consumption in native soils.
Ammonia concentrations were measured at time zero and after 30 days (TRAACS 2000) for triplicate (50 g, air-dried weight) composite soil samples collected from each site in September 2002. The samples were initially amended with 200 mg of (NH4)2SO4 kg1 and maintained at field capacity moisture in foil-covered glass flasks.
Activity of N. multiformis inoculated into sterile soils.
Soils collected from CP and DW were sterilized by gamma irradiation in an effort to maintain organic matter structure and composition. Accusand (Unimin Corporation, New Canaan, Conn.), a commercially available silica quartz matrix containing no organic matter, was sterilized by autoclave. Six replicate samples of each soil and sand (5 g, air-dried weight) were washed of free nitrate, as described above, placed aseptically into glass bottles, and inoculated with 5 x 107 N. multiformis cells (grown to mid-log phase in American Type Culture Collection medium 929) for a final concentration of 107 cells g of dry soil1 plus sodium phosphate buffer (50 ml) and NH4Cl (1.5 mM). Three of the replicate samples were treated with acetylene to inhibit autotrophic AOB activity as described above. The slurries were shaken continuously in the dark at 25°C for 3 days while the pH was maintained at 7 with NaOH. Samples (1 ml) were taken at 2, 4, 8, 16, 24, 48, and 72 h, centrifuged, and analyzed colorimetrically for nitrite using NIT Schezchrome reagent as per the manufacturer's instructions (Polysciences, Warrington, Pa.). Uninoculated, sterilized CP and DW soils and Accusand slurries were prepared, treated, and sampled as above to serve as negative controls.
Statistics.
Analysis of variance (ANOVA) was conducted at
= 0.05 to determine significant differences between soil chemical characteristics (i.e., pH, nitrate, and ammonium) among the three sites (n = 6). Significance of the qPCR results among the sites was tested using both parametric and one-way nonparametric (Kruskal-Wallis) ANOVAs, either with or without outlying values at 95% confidence intervals. No significant differences were found among sites by using either test with or without outlying values. Reported numbers do not include outliers. Standard linear regressions were used to estimate the mean potential nitrification activity (PNA) over the 3- to 5-day time courses. The errors associated with PNA rates were calculated by regression analysis, using the mean from each data set and standard deviations from the means. ANOVA was conducted to determine the significance between rates of PNA for each site.
Nucleotide sequence accession number.
Sequence data obtained in this study were deposited in the GenBank database under accession numbers AY293074 to AY293115.
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TABLE 1. Rates of atmospheric N deposition and chemical parameters of forest soils
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One hundred eighty-four clones that produced a PCR product from both primer sets were selected at random for additional classification by direct sequencing and/or oligonucleotide hybridization. Forty-two gene sequences (1.1 kb) shared 98 to 100% identity to cultivated Nitrosospira isolates from soils and affiliated with cluster 2, 3, or 4 (Fig. 1). More than half of all the sequences were most similar to Nitrosospira cluster 4 isolate Ka3. None of the sequences clustered with Nitrosomonas or Nitrosomonas-like species. Oligonucleotide hybridization with probes specific to Nitrosospira clusters 2, 3, and 4 (45) allowed classification of the remaining clones. The combination of gene sequence and oligonucleotide hybridization revealed the relative distribution of Nitrosospira clusters among gene clones from the three sampled sites (Table 2). Only 20% of the clones analyzed were related to Nitrosospira cluster 2, which contains acid-tolerant isolates, and were evenly distributed among the three sites despite significant differences in soil pH. There appeared to be an equal distribution of cluster 3- and 4-related sequences in CP soils, suggesting a possible trend towards cluster 3-like sequences compared to clone distributions of the other two soils. The seven gene clones (ca. 4% of the total) unrelated to Nitrosospira clustered outside of the AOB group but within the ß-Proteobacteria as determined by full or partial sequences (data not shown).
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FIG. 1. Phylogenetic positions of cloned 1.1-kb 16S rRNA gene sequences. This phylogenetic tree was rooted with a 16S rRNA gene sequence for E. coli and was constructed using the neighbor-joining method and Kimura two-parameter model for nucleotide change. A mask of 733 nucleotides, including all nonambiguously aligned positions, was included. Bootstrap values over 75 (from 1,000 replications) generated using the maximum parsimony method (above) and neighbor-joining method (below) are indicated at the nodes (*). Italicized names are sequences from bacterial isolates, whereas nonitalicized names are cloned environmental gene sequences obtained from the GenBank database.
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TABLE 2. Affiliation of cloned 16S rRNA genes with Nitrosospira spp. gene clustersa
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TABLE 3. Abundance of autotrophic AOB in each soil as determined by qPCR
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FIG. 2. Daily accumulation of soluble NO2-N plus NO3-N in washed and buffered slurries of CP, SP, and DW soils collected in September 2002 and February 2003. Incubations without (black bars) and with (gray bars) acetylene are shown. Error bars represent 1 standard deviation from the mean (n = 3).
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FIG. 3. Daily accumulation of soluble NO2-N plus NO3-N in a slurry of fertilized, irrigated, sandy soil. Incubations without (black bars) and with (gray bars) acetylene are shown. Error bars represent 1 standard deviation from the mean (n = 3).
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TABLE 4. PNA rates in soil slurries and change in ammonium concentrations in static soils
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FIG. 4. Daily accumulation of soluble NO2 by cultivated cells of N. multiformis inoculated onto sterilized, washed, and buffered soil slurries from CP ( ), DW ( ), and silica sand ( ). Incubations containing acetylene (open symbols) and uninoculated slurries (open symbols with dashed lines) are shown. Error bars represent 1 standard deviation from the mean (n = 3).
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The stability of the nitrogen pollution gradient from N-saturated to less-impacted soils was demonstrated by higher soil nitrate and ammonium concentrations and lower pH values in CP soils than soils 10 km down gradient at DW (Table 1). Although soils at SP and DW received similar amounts of atmospheric N-deposition, SP soils were intermediate between CP and DW soils in pH and retained nitrate concentrations. Previous studies of soils along this pollution gradient suggested that rates of nitrification were positively correlated with rates and amounts of N-deposition (13-15, 17, 27). Because autotrophic AOB are thought to catalyze the first step of nitrification in most acidic forest soils (11), we assessed their relative role in soils at three sites along the N-deposition gradient.
We hypothesized that acid-tolerant AOB (Nitrosospira cluster 2) or those generally found in high ammonium content soils (Nitrosospira cluster 3) would preferably occupy the highly N-impacted site at CP relative to the less impacted site at DW. Sequencing and oligonucleotide probing of cloned 16 rRNA genes extracted from CP, SP, and DW soils revealed the presence of only Nitrosospira-related AOB, consistent with previous reports of the ubiquity of Nitrosospira spp. in terrestrial environments (Fig. 1 and Table 2) (3, 4, 6, 29, 37, 41, 49). The CTO PCR primer set used in this and many other studies contains mismatches to multiple Nitrosomonas spp., which could potentially misrepresent actual compositions of AOB populations in gene clone libraries (30). We ensured that gene sequences related only to Nitrosospira spp., and none related to Nitrosomonas spp., were detected in the forest soils by generating and screening gene clone libraries at both stringent and permissive annealing temperatures. The majority of AOB gene sequences from all of the soils were related to Nitrosospira cluster 4 isolate Ka3 (Fig. 1). Interestingly, the 16S rRNA gene sequence of Ka3 is nearly identical to that of Nitrosospira Ka4, the dominant group isolated from Oregon forest soils, the only other coniferous forest soil in the western United States examined to date for autotrophic AOB community composition (37). The dominance of similar gene sequences from two soils with such different physicochemical properties indicates a biogeographical linkage for this lineage of autotrophic AOB. Similar distributions of clones from Nitrosospira clusters 2, 3, and 4 were found among the three sites, indicating that differences in pH and levels of soil nitrate and ammonium did not overtly influence the composition of the community (Table 2). This result is in contrast to other studies of N-impacted soils where Nitrosospira cluster 2 dominated acidic soils (31, 33, 45, 46) and cluster 3 dominated neutral pH soils (3, 6, 49). Although pH assumedly plays a major role in selecting for autotrophic AOB due to its effect on ammonia availability, several studies including the present one indicate that acidic soils can support the presence of several Nitrosospira species, and sometimes Nitrosomonas species, rather than selecting specifically for acid-tolerant clusters (3, 6, 9, 49).
Most probable number (MPN) approaches were used in a previous study to enumerate autotrophic AOB populations in CP and DW soils (17). The reported numbers of autotrophic AOB per gram of soil collected in 1993 and 1994 had considerably variable ranges: 350 ± 76 and 801 ± 918 at CP and 263 ± 33 and 311 ± 306 at DW, respectively, such that statistical differences in numbers of bacteria between the sites were not supported. Thus, we chose to estimate the abundance of autotrophic AOB at each site by real-time qPCR with a previously developed probe and primer set for 16S rRNA genes (22). As with MPN values, the qPCR values obtained for autotrophic AOB abundances were not significantly different across the N-saturation gradient, suggesting that these populations were not preferentially enriched in soils with higher N content (Table 3). The range of values obtained from the qPCR assay was wide, which is common when enumerating target molecules near the assay detection limit (19, 48). However, even with the large reported ranges, the mean abundances of autotrophic AOB were congruent with abundances reported in other soil environments (22, 23). Furthermore, other studies have shown that molecular methods, such as competitive PCR, estimate autotrophic AOB populations at 10 to 100 times higher than MPN methods, similar to our findings (17, 42). The discrepancy in abundance estimates between molecular and cultivation-dependent methods is likely due to the detection of both active and inactive populations of bacteria with molecular techniques, versus detecting only those that grow under experimental conditions with the MPN approach. The detection limit of our qPCR assay was similar to that of another study that used qPCR to enumerate genes extracted from soils (ca. 104 cells g of soil1; i.e., 0.1 to 0.001%, assuming the estimated 107 to 109 cells g of soil1 (25, 50).
Although the composition and abundance of autotrophic AOB populations were not significantly different across the N-saturation gradient, the PNA rates were significantly higher in the CP and SP soils than in the DW soils, whereas the potential contribution of autotrophic AOB was highest in the DW soils (Fig. 2 and Table 4). Together, our observations indicate that other microbial populations or other processes besides those involving autotrophic AOB were likely responsible for relatively high PNA rates in CP and SP soils, whereas low PNA rates in the less N-impacted DW soil were predominantly catalyzed by autotrophic AOB. Low autotrophic AOB activities were also observed in mixed-conifer forest soils in the Sierra Nevada Mountains in California, where nitrification activity was only partially inhibited by acetylene (40). This study used 15N pool dilution techniques to demonstrate that inorganic ammonia was not the substrate for nitrate accumulation in mature forest soils.
Besides autotrophic AOB, acidic soils can support the activity of heterotrophic nitrifiers (11). Heterotrophic nitrifiers include bacteria and fungi that oxidize both organic and inorganic ammonia while utilizing organic carbon as an energy source. Evidence for heterotrophic nitrification in CP and SP soils is supported by the accumulation of nitrite plus nitrate in the presence of acetylene in ammonium-amended soil slurries (Fig. 2 and Table 4) and the increase in soluble ammonium concentrations in ammonium-amended static soil incubations (Table 4). These data indicate that the nitrifying community produced nitrate at the expense of organic rather than inorganic sources of ammonia. We are confident that we accurately determined PNA rates in the present study because of the following: (i) the average rates of PNA were similar to those observed by Fenn and colleagues for the same soils sampled in 1994 (17), (ii) the rates of PNA were mostly higher than those measured in other acidic forest soils (33, 37, 40), and (iii) acetylene completely inhibited a very high rate of PNA in a fertilized sandy soil control (Fig. 3). The inhibition of ammonia oxidation by N. multiformis when inoculated into sterile CP and DW soils further explained the low contribution of autotrophic AOB to rates of PNA in these soils, although the actual mechanism of inhibition was not characterized (Fig. 4). Apparently, the soils are not ideal environments even for an autotrophic AOB species adapted to relatively high ammonium concentrations. This inhibition may have been caused by monoterpenes or other compounds that slow nitrification activity in forest soils (39).
The inferred dominance of heterotrophic over autotrophic nitrification activity in N-saturated, low-pH forest soils is similar to that reported in another forest soil in California (40, 44), but in sharp contrast to other N-impacted soils where autotrophic AOB activities dominate (11, 32, 33, 41, 46). The ecology of heterotrophic nitrifiers has been highly understudied in the field of microbial ecology. The present study uncovered a unique N-impacted environment where heterotrophic nitrification apparently dominates over autotrophic nitrification. Furthermore, this study expanded the biogeographical range for Nitrosospira gene clusters 2, 3, and 4 to heavily N-impacted forest soils under a Mediterranean climate.
We thank Elisha Wakefield and Diane Alexander for assistance with soil chemistry analyses.
Present address: Environmental Research Laboratory, Department of Soil, Water and Environmental Sciences, University of Arizona, Tucson, AZ 85706. ![]()
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15N and
15O to differentiate NO3 sources in runoff at two watersheds in the Catskill Mountains of New York. Water Resour. Res. 38:1051.[CrossRef]
15N and
18O. Water Resour. Res. 38:1052.[CrossRef]
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