UC Irvine UC Irvine Previously Published Works
Title Microbial activity and soil respiration under nitrogen addition in Alaskan boreal forest
Permalink https://escholarship.org/uc/item/5dg6p7gm
Journal Global change biology., 14(5)
ISSN 1354-1013
Authors ALLISON, STEVEND CZIMCZIK, CLAUDIAI TRESEDER, KATHLEENK
Publication Date 2008-05-01
DOI 10.1111/j.1365-2486.2008.01549.x
Peer reviewed
eScholarship.org Powered by the California Digital Library University of California Global Change Biology (2008) 14, 1156–1168, doi: 10.1111/j.1365-2486.2008.01549.x
Microbial activity and soil respiration under nitrogen addition in Alaskan boreal forest
STEVEN D. ALLISON*w, CLAUDIA I. CZIMCZIKw andKATHLEEN K. TRESEDER*w *Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA, wDepartment of Earth System Science, University of California, Irvine, CA 92697, USA
Abstract Climate warming could increase rates of soil organic matter turnover and nutrient mineralization, particularly in northern high-latitude ecosystems. However, the effects of increasing nutrient availability on microbial processes in these ecosystems are poorly understood. To determine how soil microbes respond to nutrient enrichment, we measured microbial biomass, extracellular enzyme activities, soil respiration, and the community composition of active fungi in nitrogen (N) fertilized soils of a boreal forest in central Alaska. We predicted that N addition would suppress fungal activity relative to bacteria, but stimulate carbon (C)-degrading enzyme activities and soil respiration. Instead, we found no evidence for a suppression of fungal activity, although fungal sporocarp production declined significantly, and the relative abundance of two fungal taxa changed dramatically with N fertilization. Microbial biomass as measured by chloroform fumigation did not respond to fertilization, nor did the ratio of fungi : bacter- ia as measured by quantitative polymerase chain reaction. However, microbial biomass C : N ratios narrowed significantly from 16.0 1.4 to 5.2 0.3 with fertilization. N fertilization significantly increased the activity of a cellulose-degrading enzyme and suppressed the activities of protein- and chitin-degrading enzymes but had no effect on soil respiration rates or 14C signatures. These results indicate that N fertilization alters microbial community composition and allocation to extracellular enzyme production without affecting soil respiration. Thus, our results do not provide evidence for strong microbial feedbacks to the boreal C cycle under climate warming or N addition. However, organic N cycling may decline due to a reduction in the activity of enzymes that target nitrogenous compounds. Keywords: Alaska, bacteria, boreal forest, carbon cycle, ectomycorrhizal fungi, extracellular enzyme, microbial biomass, nitrogen fertilization, nucleotide analog, soil respiration
Received 26 March 2007; revised version received 22 October 2007 and accepted 30 October 2007
(Suding et al., 2005), N saturation (Aber et al., 1989), and Introduction increased N losses (Hall & Matson, 1999). Nitrogen (N) is an essential element that can limit the Even in ecosystems where anthropogenic N inputs growth of living organisms across a wide range of are low, climate warming may increase the availability ecosystems (Vitousek & Howarth, 1991). However, hu- of N by increasing rates of nutrient release from soil man activities have more than doubled the input of N organic matter (Hobbie et al., 2002). This effect is a that enters ecosystems globally (Vitousek et al., 1997). particular concern in northern high-latitude ecosystems This increased N availability can have serious conse- where N inputs are low and permafrost and water- quences, including altered species composition (Oster- logging limit decomposition and the release of available tag & Verville, 2002), changes in biological diversity N from soil organic matter (Preston et al., 2006). Together, boreal forest and tundra ecosystems contain Correspondence: Steven D. Allison, Department of Ecology and 10–20% of global soil carbon (C) (Gorham, 1991; Evolutionary Biology, University of California, Irvine, CA 92697, Jobbagy & Jackson, 2000) and may warm by up to USA, tel. 11 949 824 2341, fax 11 949 824 2181, 8 1C over the next century (Houghton et al., 2001). If e-mail: [email protected] large amounts of N are released from this organic
r 2008 The Authors 1156 Journal compilation r 2008 Blackwell Publishing Ltd BOREAL MICROBIAL ACTIVITY UNDER N ADDITION 1157 matter, the increase in N availability could feed back to the boreal growing season and measuring functional affect C cycling by altering rates of decomposition or characteristics of the microbial community such as soil plant growth (Hobbie et al., 2002; Stro¨mgren & Linder, respiration and extracellular enzyme activity. We hypothe- 2002; Mack et al., 2004; Olsson et al., 2005). sized that N addition would increase bacterial abundance Because N availability is low in many boreal soils, and suppress fungal abundance, particularly ectomycor- these ecosystems are highly sensitive to N deposition rhizae. Based on allocation theory, we predicted that (Kellner & Ma˚rshagen, 1991; Strengbom et al., 2001). In N fertilization would increase the activity of C-degrading particular, soil fungi show strong and typically negative enzymes but suppress the activity of N-releasing responses to N deposition and fertilization (Boxman enzymes. Because of the increase in C-degrading en- et al., 1998; Brandrud & Timmermann, 1998; Lilleskov zyme activity, we hypothesized that soil respiration et al., 2001, 2002a). This pattern is critical because fungi would also increase with N addition. However, we are believed to be the most important regulators of soil expected that this effect might be partially offset by
C and nutrient cycling in ecosystems with low soil pH, reduced CO2 production from ectomycorrhizae. such as boreal forests (Fierer & Jackson, 2006; Ho¨gberg et al., 2007). In these systems, fungi control the break- down of complex organic matter (e.g. wood) and form Materials and methods mycorrhizal symbioses that facilitate nutrient acquisi- tion by plants (Robinson, 2002; Read et al., 2004). Site description Many groups of fungi are known to produce hydro- We collected samples from a boreal forest site in central lases and oxidases that degrade complex polymers in Alaska, USA (631550N, 1451440W), described in detail by soil and convert organically bound nutrients into forms Treseder et al. (2004). The site is dominated by mature that are available to plants and microbes (Dighton, black spruce [Picea mariana (P. MILL) B.S.P.] with an 2003). The activities of these enzymes may change if understory of shrubs, mosses, and lichens. The growing N addition alters microbial allocation to enzyme pro- season lasts 4 months, with bud break occurring in duction or shifts the abundance of fungi that produce mid-May and leaf senescence in mid-September. Back- specific enzymes (Sinsabaugh & Moorhead, 1994). For ground N deposition in the region is 1kgha 1 yr 1 example, N addition could cause microbes to produce (EPA, 2006). In 2002, we established a fully factorial more C-degrading enzymes relative to N-degrading N phosphorus (P) fertilization experiment with enzymes, thereby increasing rates of C cycling (Allison 10 m 10 m control, N, P, and N 1 P plots in a rando- & Vitousek, 2005). Given these potential consequences mized block design (n 5 4). N was added at a rate of for C and nutrient cycling, surprisingly few studies 200 kg N ha 1 yr 1 as NH 1 NO– in 2002–2003 and have investigated how soil enzyme activities respond 4 3 100 kg N ha 1 yr 1, thereafter. Rates of P addition were to N addition in boreal ecosystems. half those of N. These high rates of addition were Mycorrhizal fungi are especially sensitive to N addi- chosen to ensure that nutrients were no longer limiting tion because plants are thought to reduce C allocation to to any biological processes, such as plant or microbial mycorrhizal symbionts when N availability is high growth. Fertilizer was applied annually during the first (Ho¨gberg et al., 2003). N addition often suppresses half of June. Soil pH was determined in a 2 : 1 (w : w) mycorrhizal fungi (Arnolds, 1991; Lilleskov et al., water : soil slurry in May 2007, and did not differ 2001, 2002a), and may reduce organic N cycling, CO 2 significantly among control and N-fertilized plots respiration, and the sequestration of C in mycorrhizal (P 5 0.10, t-test, Table 1). pools. Ericoid and ectomycorrhizal fungi in particular produce extracellular proteases and other enzymes that break down organic polymers in soil (Read & Perez- Nutrient availability Moreno, 2003); reduced allocation of C resources to these fungi could therefore affect enzyme production We used resin bags to measure the availability of and the turnover of soil C pools. ammonium and nitrate in the fertilized and control In an earlier study, we found that N addition in plots. Nylon mesh bags were filled with 5 g cation or Alaskan boreal forest reduced fungal diversity, but anion exchange resin, soaked in 0.5 M HCl for 20 min, had relatively little effect on the community structure rinsed in deionized water (DI) water, and washed with of soil fungi (Allison et al., 2007). However, that study 2 M NaCl until the pH of the wash solution was 45. On was conducted early in the growing season, before the May 28, 2005, we placed four cation and four anion bags peak activity of ectomycorrhizal host plants. The objec- in each plot at 5 cm depth. We retrieved the bags on tive of the current study was to expand on our prior July 27, 2005, and replaced them with new bags that work by assessing fungal responses to N at the peak of remained in the soil until September 15, 2005. In 2006, r 2008 The Authors Journal compilation r 2008 Blackwell Publishing Ltd, Global Change Biology, 14, 1156–1168 1158 S. D. ALLISON et al.
14 Table 1 Soil pH, nutrient availability, microbial biomass parameters, and C-CO2 signatures in control and nitrogen (N)-fertilized soils
Control (Mean SE) Nitrogen (Mean SE)
Soil pH 2007 4.9 0.2 5.5 0.1 1 1 w Resin NO3 (mgNg resin day ) 2005 0.011 0.004 24 8*** 2006 0.028 0.005 35 12*** 1 1 1 w Resin NH4 (mgNg resin day ) 2005 0.036 0.017 17 4*** 2006 0.026 0.009 21 3*** Microbial biomass (CFDE) (mgg 1 dry soil) C 1234 150 1073 280 N79 12 204 46* C : N 16.0 1.4 5.2 0.3** Bacterial relative abundancez (qPCR) May 2005 1.00 0.09 1.22 0.59 August 2005 0.80 0.17 0.84 0.28 Fungal relative abundancez (qPCR) May 2005 1.00 0.12 0.76 0.35 August 2005 1.79 0.35 1.95 0.48 14 D C-CO2 (%)97 493 4
*Po0.05. **Po0.01. ***Po0.001 for comparison of control vs. nitrogen. wRepresents average of two sampling dates in 2005. zValues scaled to DNA quantity in May 2005 samples. bags were placed in the soil on May 14 and retrieved on for DNA analysis and determined the dry weight of the September 17. remaining material (65 1C). Retrieved bags were rinsed briefly to remove soil particles and extracted in 100 mL 0.1 M HCl/2.0 M NaCl Microbial biomass for 1 h with shaking at 120 rpm. The cation extracts were analyzed for ammonium concentrations using a modi- We measured microbial biomass C and N using the fied Berthelot-salicylate method (Weatherburn, 1967) chloroform fumigation-direct extraction technique adapted for 96-well microplates. Absorbance was (Brookes et al., 1985; Vance et al., 1987). On July 2, measured spectrophotometrically at 650 nm. Nitrate con- 2006, we collected five 2 cm 5 cm cores from each centrations in anion extracts were determined spectro- experimental plot and shipped them to UCI at 4 1C for photometrically at 540 nm using the vanadium method analysis within 1 week. For each plot, the five cores of Doane & Horwath (2003) modified for microplate were homogenized by hand and subsampled (10 g) to assays. Blanks were included to account for background determine soil water content. We calculated microbial
N in the reagents. We expressed ammonium-N and biomass as the difference in K2SO4-extractable C or N nitrate-N availability as mgNg 1 resin day 1. concentration between fumigated and unfumigated soils, divided by 0.45 for C (Vance et al., 1987) and 0.54 for N (Brookes et al., 1985). Sporocarp sampling On August 18, 2005, we collected all sporocarps present Nucleotide analog labeling of active fungal communities in control plots and plots that had been fertilized with N, P and N 1 P for a total of 16 10 m 10 m plots. We Also on August 18, 2005, we used the method of Borne- included sporocarp biomass data from P plots to in- man (1999) and Allison et al. (2007) to label the DNA of crease our sample size; because there was no significant active soil microbes with the nucleotide analog 3-bro- P effect on sporocarp biomass, we pooled data into N mo-deoxyuridine (BrdU). Briefly, we used a sterile and 1 N treatments. Although sporocarps may appear needle to inject 10 mL of 2.5 mM BrdU solution at five throughout the growing season, preliminary surveys points arranged in an ‘X’ pattern 30 cm wide in each indicated that the vast majority of sporocarp production plot. The needle was inserted and withdrawn to dis- occurs in early to mid-August, just before our sampling tribute the BrdU solution evenly throughout the top time. Collected sporocarps were frozen within 4 h, 5 cm of organic horizon (mean O-horizon depth is shipped to the University of California, Irvine (UCI) 9.8 cm). Where present, litter and living moss were frozen, and stored at 20 1C. Using a sterile scalpel, we removed from the soil surface before injection. In one excised a 100 mg tissue sample from each sporocarp pair of adjacent control and N plots, we carried out a
r 2008 The Authors Journal compilation r 2008 Blackwell Publishing Ltd, Global Change Biology, 14, 1156–1168 BOREAL MICROBIAL ACTIVITY UNDER N ADDITION 1159 second set of injections 5 m from the first injection Cloning and DNA sequencing site to assess within-plot heterogeneity in fungal com- We used the PCR products from the control and N munity structure. The BrdU solution was allowed to treatments to create clone libraries (Allison et al., 2007). incubate in the field for 24 h before removing The plot is the unit of replication for subsequent ana- 2cm 5 cm cores from each injection site. The cores lyses. The number of sequences obtained per plot were frozen within 1 h, shipped to UCI frozen, and ranged from 76 to 93, except for the two plots in which stored at 80 1C. we conducted two sets of BrdU injections where the number of sequences was 171–181. The no-BrdU control sample produced a very weak PCR product that we also DNA extraction and amplification subjected to the cloning procedure. Sporocarp DNA samples were sequenced using the The five soil cores from within each plot were combined primers nu-SSU-1536-30 and ITS1 (Gardes & Bruns, and homogenized briefly ( 10 s) in a blender before 1993). Thus, we obtained two sequence reads per spor- DNA extraction. Because we wanted to examine the ocarp, one with 760 bp of the 18S region and another entire active fungal community, roots and ectomycor- with 650 bp of the ITS region. rhizal root tips were not removed from the soil. For each sample, we extracted total DNA from a 0.12 g subsam- ple of homogenized soil using the MoBio PowerSoil Sequence analysis DNA kit (MO BIO Laboratories, Carlsbad, CA, USA). To extract sporocarp DNA, we used the MoBio UltraClean We edited 18S and ITS sequences using BioEdit (Hall, Plant DNA kit. 1999), and aligned 653 bp of the 18S sequences with Following extraction of total soil DNA, we used the CLUSTALW (Chenna et al., 2003). The quality of the align- immunocapture procedure of Yin et al. (2004) and ment was verified by careful visual examination and Allison et al. (2007) to separate BrdU-labeled DNA from manual adjustment. Bad sequence reads, one nonfungal unlabeled DNA. This method was also applied to a sequence, and two potential chimeras were removed. The comparable soil DNA sample from the same site that alignments were input to the Phylip program DNADIST was not labeled with BrdU to determine if any unla- (Felsenstein, 2005) to generate distance matrices for sub- beled DNA passed through the separation procedure. sequent analyses of N effects on fungal communities. We used the general fungal primers nu-SSU-0817-50 We grouped fungal DNA sequences into operational and nu-SSU-1536-30 to amplify a 760 bp region of the taxonomic units (OTUs) and analyzed community 18S ribosomal RNA gene from BrdU-labeled soil DNA structure using the approaches described in Allison (Borneman & Hartin, 2000). Sequence similarity is rela- et al. (2007). The software program DOTUR (Schloss & tively conserved in this region, allowing us to identify Handelsman, 2005) was used to assign 18S sequences sequences at the family to phylum level (Anderson & into OTUs defined by 99% sequence similarity. With- Cairney, 2004). Targeting the internal transcribed spacer in each treatment (excluding sporocarps), we calculated (ITS) region of the rRNA gene complex would have the relative abundance of each OTU in each plot. Using allowed for greater taxonomic resolution, but unknown these abundance distributions, we calculated a matrix ITS sequences cannot be reliably assigned to broad of community distances between plots (SAS PROC DIS- taxonomic groups. Therefore, we only sequenced the TANCE, NONMETRIC option) (SAS, Version 9.0, 2004, SAS 18S rRNA gene in our soil DNA samples. For sporocarp Institute Inc., Cary, NC, USA). OTUs were identified to 0 DNA, we used the primers nu-SSU-0817-5 and ITS4 the family or ordinal level using BLAST searches of the (Gardes & Bruns, 1993) to amplify 2000 bp that National Center for Biotechnology Information data- included the 18S region, as well as the ITS1, ITS2, and base (see Supplementary material Appendix SA1). For 5.8S region of the ribosomal RNA gene complex. ITS sporocarp sequences, identifications could be made The polymerase chain reaction (PCR) conditions for the at the genus or species level. Sequences generated from soil samples are described in Allison et al. (2007). For this study are available in GenBank under the accession sporocarp samples, the PCR contained 3.3 mM MgSO4, numbers EU222021–EU223006. 1 0.5 mg mL BSA, 250 mM of each dNTP, 333 nM of each To test for significant N effects on fungal community primer, 0.03 U mL 1 Platinum Taq, 1 Platinum Taq buf- structure, we used multiresponse permutational proce- fer, and 0.1 mLtemplateDNAmL 1 reaction mixture. The dures (MRPP) (McCune & Grace, 2002) in the statistical reactions were run with a 3 min initial denaturation step package R (R Development Core Team, 2006, R: A Lan- at 94 1C; 32 cycles of 1 min denaturation at 94 1C, 1.5–3 min guage and Environment for Statistical Computing,RFounda- primer annealing at 54.0–55.5 1C, and 2–5 min elongation tion for Statistical Computing, Vienna, Austria). We also at 72 1C; and a final 10 min elongation step at 72 1C. tested for treatment effects on the relative frequencies of r 2008 The Authors Journal compilation r 2008 Blackwell Publishing Ltd, Global Change Biology, 14, 1156–1168 1160 S. D. ALLISON et al. individual OTUs using nonparametric Kruskal–Wallis at 21 1C with constant shaking. Substrate solutions were tests. The level of significance was set at Po0.05. 5mM p-nitrophenyl-b-glucopyranoside for BG; 50 mM pyrogallol, 50 mM EDTA for PPO; 2 mM p-nitrophenyl- b-N-acetylglucosaminide for NAG; and 5 mM glycine Quantitative PCR (qPCR) p-nitroanilide for GAP, all in acetate buffer. After We used qPCR to measure the abundance of fungal 18S incubation, 100 mL of the slurry-substrate supernatant and bacterial 16S DNA in control and N-fertilized soils. (without soil particles) was carefully transferred On May 30, 2005, and August 18, 2005, we collected soil to another microplate for colorimetric determination cores and extracted total DNA using the procedures of product concentrations. Eight analytical replicates described above. Assays were carried out in 96-well were run per sample, and controls were included to plates with a BioRad MyiQ single color real-time PCR account for background absorbance by the substrate detection system (Bio-Rad Laboratories, Hercules, CA, solution and soil slurry. Activities are expressed as mmol USA). For fungal abundances, each 30 mL reaction con- product formed g 1 dry soil h 1, except PPO, which is tained 15 mL iQSYBR Green PCR Super Mix, 3 mL DNA presented as mmol substrate consumed g 1 dry soil h 1. template, and 0.6 mL (10 mM) of each of the primers nu- SSU-0817-50 and nu-SSU-1196-30 (Borneman & Hartin, Soil respiration 2000). qPCR amplifications were run as follows: 95 1C initial denaturation step for 15 min followed by 37 Soil CO2 fluxes were determined using flux chambers cycles of 15 s denaturation at 94 1C, 30 s annealing at and a PP Systems EGM-4 infrared gas analyzer. Two 55.5 1C, and 30 s elongation at 72 1C. Each sample extract chamber bases were inserted 2 cm into the soil surface was amplified in triplicate, and bulk DNA extracted at random locations in each plot on May 25, 2005. We did from the study soils was used to construct standard not remove grasses and shrubs because they were not curves. A melting curve analysis was performed after abundant within the chambers. Because mosses cannot each analysis to confirm the specificity of the qPCR. be removed without severely disrupting the soil surface, Fungal biomass is expressed as relative abundance, they were also left in the chambers if present. Fifty scaled to the quantity of fungal DNA observed on May percent of the moss and litter volume was subtracted 30, 2005 in control plots. We used the same method to from the total chamber volume. Measurements were determine bacterial relative abundance, but with the made approximately monthly during the growing sea- primers Eub338 and Eub518 (Fierer et al., 2005) and sons of 2005 and 2006, starting in July 2005. Fluxes are 2 1 PCR parameters as follows: 95 1C initial denaturation step expressed as mg CO2-C m h (Czimczik et al., 2006). for 15 min followed by 37 cycles of 15 s denaturation at We also measured the 14C isotopic composition of
94 1C, 30 s annealing at 56 1C, and 30 s elongation at 72 1C. soil-respired CO2 in order to determine if N addition altered the C source of soil respiration. In the 1950s and 1960s, atmospheric weapons testing nearly doubled the Enzyme activities concentration of 14C in the atmosphere, and this ‘bomb Starting in May 2005, we collected soils for enzyme spike’ has declined over time due to mixing with analyses approximately monthly during the growing oceanic and biospheric C reservoirs and dilution by seasons of 2005–2006. From each plot, we collected at fossil fuel-derived CO2. Thus, a shift in the source of soil least three 2 cm 5 cm cores and processed them in the respiration from recently fixed plant C to 40–50-year- same manner as the microbial biomass samples (above). old soil organic C would result in a greater D14C value. We assayed the activities of four extracellular enzymes We expected that such a shift might occur if N fertiliza- involved with the breakdown of complex organic poly- tion suppressed the activity of mycorrhizal fungi that mers in soil: b-glucosidase (BG) catalyzes one of the respire recently fixed plant C. Because 14C samples were final steps in cellulose breakdown, polyphenol oxidase collected in mid-September when plants were senes- (PPO) is a nonspecific enzyme that breaks down recal- cent, we expected root respiration to be relatively low. 14 citrant polymers such as lignin and humic acids, We measured the C signature of chamber CO2 on N-acetyl-glucosaminidase (NAG) aids in chitin break- September 13, 2005, by closing the tubing on the cham- down, and glycine aminopeptidase (GAP) is involved ber lid and allowing the CO2 to accumulate for 14 in protein degradation. 30 min. CO2 was trapped and analyzed for C con- Enzyme activities were determined according to the tent according to Czimczik et al. (2006). Before CO2 procedures of Allison & Jastrow (2006), modified for 96- accumulation, we circulated chamber air through soda well microplates. Briefly, 50 mL of homogenized soil lime traps to reduce the amount of atmospheric CO2 slurry in 50 mM pH 5.0 acetate buffer was combined present in our chamber samples. However, the samples with 150 mL substrate solution and incubated for 1–5 h still contained some CO2 from the atmosphere.
r 2008 The Authors Journal compilation r 2008 Blackwell Publishing Ltd, Global Change Biology, 14, 1156–1168 BOREAL MICROBIAL ACTIVITY UNDER N ADDITION 1161
We assumed that the 13C value of soil respiration was 23% and used a mixing model to calculate the fraction of chamber CO2 derived from air vs. soil respiration (Czimczik et al., 2006). The 14C signature of soil respira- tion was calculated based on this fraction and the 14C signature of ambient air sampled from a well-aerated area adjacent to the sampling site (Czimczik et al., 2006). 13C signatures of saprotrophic and ectomycorrhizal sporocarps did not differ significantly at the site (unpublished data), so changes in fungal community structure are unlikely to affect the assumed 13C value of respired CO2.
Statistical analyses To test for nutrient effects on sporocarp biomass, we conducted ANOVAs with SAS PROC MIXED (SAS Institute, Fig. 1 Sporocarp biomass in control and nitrogen (N)-fertilized 2004). Block was included as a random effect, and data plots by taxon based on BLAST matches to 18S ribosomal and were log-transformed before analysis to achieve nor- internal transcribed spacer DNA sequences. Po0.018 for N effect mality. We analyzed resin nutrients, enzyme activities, on total sporocarp biomass across taxa (n 5 8). and soil respiration using repeated measures ANOVAsin SAS PROC MIXED, with a compound symmetry covariance structure and block as a random effect. Where date material Appendix SA1). Thus, a majority of the Basi- fertilization effects were significant, we used the SLICE diomycetes that produced sporocarps may have also option in SAS to test for significant fertilization effects by been present in our soil molecular survey. Most of the date. Nutrient data, BG activities, NAG activities, and identified sporocarp biomass belonged to the genera
CO2 fluxes were log-transformed before analysis to Lactarius, Tricholoma, and Hydnellum (Fig. 1). improve normality. PPO and GAP activities were square-root transformed. We used t-tests to discern Microbial biomass significant fertilization effects on microbial biomass C and N, qPCR data, and 14C signatures. The level of Microbial biomass C as measured by chloroform fumi- significance was set at a 5 0.05. gation-direct extraction was 1073 to 1234 mgCg 1 dry soil and did not change significantly with N fertilization (Table 1). However, microbial biomass N increased Results significantly (Po0.05) from 79 12 to 204 46 mgNg 1 dry soil. This change resulted in a significant reduction Nutrient availability in the microbial biomass C : N ratio from 16.0 to 5.2 – Resin NO3 availability increased significantly with N ferti- under N fertilization (Table 1). The reduction in C : N lization from 0.011 0.004 to 24 8 mgNg 1 resin day 1 ratio was not associated with a shift in the dominance of in 2005 and from 0.028 0.005 to 35 12 mgNg 1 bacteria vs. fungi, because neither bacterial abundance 1 1 resin day in 2006 (Table 1). NH4 availability also nor fungal abundance as measured by qPCR varied increased significantly in both years, from 0.03 0.02 significantly with N addition (Table 1). to 17 4 mgNg 1 resin day 1 in 2005 and 0.026 0.009 to 21 3 mgNg 1 resin day 1 in 2006. Active fungal communities under N addition We obtained 874 active fungal DNA sequences from Sporocarp biomass control and N-fertilized plots. DOTUR assigned these N addition significantly reduced mean sporocarp bio- sequences to 59 OTUs using a cutoff of 99% sequence mass from 0.64 0.25 g m 2 to 0.08 0.03 g m 2 (Fig. 1, similarity, with 34 OTUs in control plots and 36 in N P 5 0.018). We obtained usable DNA sequences from 57 plots. Consistent with these values, there were no sporocarps, which were assigned to 13 OTUs ( 99% statistically significant differences in diversity indices similarity for 18S region) by DOTUR. Nine of these between the two treatments (data not shown). OTUs representing 42 sporocarp sequences were also We assume that contamination by unlabeled DNA is observed in the soil clone libraries (Supplementary minimal in the clone libraries because we obtained r 2008 The Authors Journal compilation r 2008 Blackwell Publishing Ltd, Global Change Biology, 14, 1156–1168 1162 S. D. ALLISON et al.
Table 2 Relative abundances (%) of major taxa in control and nitrogen-fertilized clone libraries
Fungal class Control SE Nitrogen SE
Basidiomycetes 87.9 2.3 85.8 5.1 Ascomycetes 7.7 1.3 6.1 1.2 Zygomycetes 0.7 0.4 3.1 2.2 Urediniomycetes 2.3 1.3 1.3 1.0 Unknown 1.4 0.8 1.8 0.9 Ustilaginomycetes 0.0 1.1 1.4 Chytridiomycetes 0.0 0.4 0.6 Saccharomycetes 0.0 0.2 0.3
OTU designationw
Number Class Order Family Control SE Nitrogen SE
4* Basidiomycetes Agaricales 6.5 2.9 43.4 12.1 5* Basidiomycetes Agaricales Cortinariaceae 32.4 10.2 0.4 0.6 12 Basidiomycetes Agaricales Cortinariaceae 17.5 14.9 0.4 0.3 7 Basidiomycetes Cantharellales Hydnaceae 5.4 4.5 10.1 6.2 1 Basidiomycetes Russulales Russulaceae 3.5 4.6 8.8 11.0 24 Basidiomycetes Phallales 8.9 5.6 0.0 3 Ascomycetes 4.2 0.9 4.0 0.9 15 Basidiomycetes Agaricales Cortinariaceae 0.0 6.5 8.2 13 Basidiomycetes Russulales Russulaceae 1.6 1.0 3.8 2.3 18 Basidiomycetes Tremellales Exidiaceae 2.3 1.3 1.8 0.3 9 Basidiomycetes Agaricales Clavariaceae 4.0 2.5 0.0 8 Urediniomycetes 2.3 1.3 0.7 0.5 16 Basidiomycetes Thelephorales 0.2 0.1 2.5 1.9 25 Basidiomycetes Agaricales 0.0 2.7 1.3 34 Basidiomycetes Boletales Boletaceae 2.8 1.6 0.0
*Po0.05 for Kruskal–Wallis test of control vs. nitrogen. wOperational Taxonomic Unit from DOTUR analysis, followed by taxonomic designation based on BLAST matches to GenBank sequences.