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Applied and Environmental Microbiology, March 2003, p. 1614-1622, Vol. 69, No. 3
0099-2240/03/$08.00+0 DOI: 10.1128/AEM.69.3.1614-1622.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
S. Padmanabhan,1 C. DeRito,1 A. Gray,2 D. Gannon,2 J. R. Snape,3 C. S. Tsai,1 W. Park,1 C. Jeon,1 and E. L. Madsen1*
Department of Microbiology, Cornell University, Ithaca, New York 14853,1 AstraZeneca, Toronto, Ontario, Canada,2 AstraZeneca Global SHE, Brixham, Devonshire, United Kingdom3
Received 7 August 2002/ Accepted 3 December 2002
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When microbial processes are examined directly in field study sites and samples derived therefrom, the relevance of the data to in situ processes cannot be questioned. In some instances, stable isotopically labeled biomarkers are fortuitously present in the habitat of interest and these allow both biogeochemical processes and the active microorganisms to be documented (3, 17, 41). However, under routine circumstances, detection and quantification of metabolic processes in soil, water, and sediments becomes problematic because field sites are open systems where mass-balance approaches for measuring biogeochemical change is a challenge. In field-based investigations, the prospects for radiolabeling of active microbial populations are dim due to the unlikelihood of quantitative isotope retrieval from the field and to safety and environmental regulations. If experiments that release substrates to field sites are implemented, then nonradioactive surrogate compounds are likely to be employed (with or without conservative tracers that assist in mass-balance accounting [16, 49]).
Radajewski et al. (45) introduced stable isotope probing of community-extracted DNA as a laboratory-based means of identifying microbial populations involved in 13C-substrate metabolism. In the present investigation, we combined the realism of field-released 13C-substrates with extraction and sequencing of soil DNA. Our goals were to develop a 13C-based field respiration assay for testing biodegradability, apply the assay to a range of organic compounds representing diverse molecular structures, examine the contrast between the results of the field release assays and those of parallel assays conducted in sealed chambers, and link the 13C field release assay to DNA extraction analyses of the active microbial populations.
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Field treatments.
The open-bottom soil cover treatments were prepared by inserting truncated 250-ml glass canning jars 3 to 5 cm into the soil, enclosing 28 cm2 of the surface. Other treatments involved removal of soil adjacent to the soil cover tests and placement of intact soil peds (
30 g), soil cores (removed from soil after insertion of a 3-cm section of a 60-ml plastic syringe), or hand-crushed soil (5 g) into the same type of jars but with the bottom intact. The jars, with and without severed bottoms, were sealed with metal screw-cap canning-jar lids fitted with Teflon-coated butyl rubber septa. Within 5 min of the deployment of containers and soils in the four treatments (soil cover or jars containing ped, core, or crushed soil), aqueous solutions (
0.3 ml) of 13C-labeled substrates (glucose, phenol, caffeine [
450 µg total], or naphthalene [10 µg total]) were added dropwise to the soil to uniformly dispense the substrate over a circle of soil
4 cm in diameter. Screw-cap rings and lids were installed, and headspace sampling (250-µl gas-tight syringe) was begun and continued for 24 h. Three to five replicates of each treatment were prepared. After each sampling, the syringes were shuttled to the laboratory for gas chromatography/mass spectrometry (GC/MS) analysis.
Laboratory treatments.
Collamer Silt loam (5 g) was manually crushed and added to 38-ml serum bottles, which were closed with Teflon-faced septa and aluminum crimp seals. The soil was amended with 0.2- to 0.5-ml aqueous solutions of [13C]glucose, [13C]phenol, [13C]naphthalene, or [13C]caffeine to reach initial concentrations of 50, 50, 2, and 50 ppm, respectively. Control treatments included soil only, water only, and the same substrates but without 13C enrichment.
Chemicals.
The 13C-labeled substrates were glucose (13C6; 99% purity; Isotec Inc., Miamisburg, Ohio), phenol (13C6; 99% purity; Isotec Inc.), naphthalene (13C6; 99% purity; Cambridge Isotope Laboratories, Inc., Cambridge, Mass,), and caffeine (trimethyl-13C3; 99% purity; Cambridge Isotope Laboratories, Inc.). For preparation of the aqueous naphthalene 1 day prior to an experiment, 1 to 3 ml of water was added to a glass Teflon-sealed screw-cap vial. After autoclaving, approximately five crystals of [13C]naphthalene were transferred to the warm water. After a day at room temperature, high-performance liquid chromatography analysis verified that this produced a 20- to 24-ppm solution (
75% saturation). This was dispensed with a glass pipette. In the tracer test, SF6 (Matheson Gas Products, Montgomeryville, Pa.) was injected with a 3-ml syringe and mixed by withdrawing and refilling four times.
GC/MS assays.
A Hewlett-Packard 5971A GC/MS equipped with a Hewlett-Packard Pora Plot Q column (25 m by 0.32 mm; 10-µm film thickness; He as the carrier gas) in the splitless mode was utilized to separate gaseous components. The detector was operated at 1.10-5 torr and 70 eV (56). The GC oven program was isothermal at 60°C. CO2 eluted at 2.5 min. Using the single ion monitoring mode, the detector was able to simultaneously quantify 12CO2 (m/z = 44) from 13CO2 (m/z = 45). SF6 eluted at 1.3 min. CO2 quantification was based on standards (Scott Specialty Gases Inc., Plumsteadville, Pa.) and serial dilutions prepared therefrom.
DNA extraction and CsCl fractionation of [13C]DNA.
After headspace sampling had been completed, the soil that received substrate was removed with a sterile spatula. Approximately 10 g from each jar was transferred to a sterile 35-ml centrifuge tube containing 10 ml of phosphate buffer (1 mM), which was then placed on dry ice, transported to the lab on dry ice, and stored at -80°C. After thawing, 0.25 g of sodium dodecyl sulfate was added to each tube and vortexed (1 min). The tubes were incubated for 30 min at 70°C, with rigorous mixing and vortexing every 5 min. Soil and cell debris were pelleted (10 min; 11,951 x g; 4°C). After transfer to a clean centrifuge tube, the supernatant was extracted twice with an equal volume of phenol-chloroform-isoamyl alcohol (25:24:1) and extracted again with an equal volume of chloroform-isoamyl alcohol (24:1). The DNA was precipitated (two times the volume) in ethanol and washed twice with 70% ethanol (20 ml), dried at room temperature in a hood, and then dissolved in 1 ml of Tris-EDTA (TE) buffer.
As a positive control for [13C]DNA and [12C]DNA, Pseudomonas putida strain G7 was grown in two mineral salts media, one with 100% [13C]glucose and the other with nonenriched (i.e., 12C) glucose, and DNA was extracted as described above. One milliliter of the DNA solution was diluted to 4.5 ml with TE buffer, and 4.5 g of CsCl was added and shaken gently until dissolved. Ethidium bromide (100 µl; 10 mg/ml) was added to each ultracentrifuge tube, which was then sealed. Tubes were centrifuged at 140,000 x g (Vti 81 rotor; 41,900 rpm) for 66 h at 20°C. Resultant bands were clearly separated (9 to 12 mm). The centrifuge tubes were pierced, using standard methods (46), with an 18-gauge needle in two locations: 2 mm below where we could see the 12C band and 2 mm below the band depth that matched that of another tube containing a 13C standard. In processing DNA from the [13C]naphthalene-treated soil, we compensated for partial 12C labeling of DNA by sampling approximately 3 mm above the 13C band. In processing DNA from the [13C]caffeine-treated soil, no such compensation was made because methyl groups were the presumed substrate. Approximately 0.5 to 0.7 ml of CsCl solution containing the DNA was withdrawn and transferred to another centrifuge tube. Ethidium bromide was extracted from the DNA by the addition of 10 to 20 volumes (e.g., 6 to 12 ml to 0.6 ml) of TE-saturated 1-butanol by gentle mixing. The organic layer was discarded and the extraction was repeated five to six times, and then the volume of DNA was brought to 3 ml in TE. DNA precipitation occurred overnight at -20°C by addition of 300 µl of 3 M sodium acetate (pH 4.6) and twice the volume of ethanol. After pelleting at 13,000 to 15,000 x g for 30 min, the DNA was washed twice with 70% ethanol, centrifuged at the same speed for 10 min, resuspended in 50 to 100 µl of TE, and stored at -20°C.
PCR cloning, restriction digestion, and sequencing.
PCR amplification of 16S rRNA genes (rDNA) in the [13C]DNA fraction utilized universal eubacterial primers (27f and 1492r) by methods described previously (2). The product was ligated into the vector pCR2.1 (TA cloning; Invitrogen, Carlsbad, Calif.) by following the manufacturer's recommended protocol. Following transformation of plasmids into host cells and blue/white screening, colonies with inserts were verified by PCR with primers 27f and 1492r. The amplicons were digested with HaeIII and HhaI. Restriction fragment length polymorphism (RFLP) patterns were analyzed on 3% MetaPhore agarose gels (BioWhittaker; Molecular Applications, Rockland, Maine) with a 100-bp/1-kb ladder (Promega) as a marker. Clones containing unique RFLP patterns were selected for sequencing, grown overnight in 5 ml of Luria-Bertani broth with appropriate antibiotics (kanamycin and ampicillin), and pelleted, and plasmids were purified (QiaPrep spin miniprep kit; Qiagen, Santa Clarita, Calif.). PCR primers 27f, 533f, and 1492r (16 µl; 1 pM/µl) were used by the Cornell DNA sequencing facility (Ithaca, N.Y.). Raw sequence data from both strands were assembled into full-length sequences by using the SeqMan II program (DNASTAR, Inc.). After assembly, the consensus sequence was verified manually by referring to the corresponding ABI chromatograms of the sequencing reactions. The computational tools of the Ribosomal Database-II project (http://www.cme.msu.edu/RDP/html/analyses.html) were used to check chimeras and to calculate the similarity values for individual rDNA sequences by using the SEQUENCE_MATCH program. A BLAST search (http://www.ncbi.nlm.nih.gov.BLAST) was also used to identify the additional related sequences. The closest relatives identified from both searches were included in further phylogenetic analysis. Sequences were then imported into the ARB rRNA software (Technical University of Munich, Munich, Germany; http://www.arb-home.de) for phylogenetic tree construction.
Statistics.
Data produced from replicated treatments were averaged. The differences between treatments at discrete sampling times were assessed with Student's t test.
Nucleotide sequence accession numbers.
The nucleotide sequence data reported here have been submitted to GenBank under accession no. AF534190 to AF534218.
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FIG. 1. Evolution of 13CO2 from 13C-labeled substrates added to soil (naphthalene, 2 ppm; other substrates, 50 ppm) in sealed chambers incubated in the laboratory. Data show net production of 13CO2 evolved from 5 g of soil. Net production was computed by subtracting 13CO2 in the water-only control from total 13CO2. The percentage in parentheses shows the proportion of the total of each added substrate recovered as 13CO2. Averages of three replicate treatments are shown; error bars indicate standard deviations.
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FIG. 2. Behavior of gases in soil cover field chamber. SF6 was injected at the beginning of the experiment. 13CO2 was derived from native soil organic matter. Averages of three replicate treatments are shown; error bars indicate standard deviations.
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To evaluate the above-mentioned extrapolation approach for predicting background levels of 13CO2, we initiated both laboratory microcosm and field assays. In laboratory incubations analogous to those that produced the results shown in Fig. 1, treatments included unamended soil and soil amended with water only or [12C]phenol or [13C]phenol. After a 14-day incubation (data not shown), the total 13CO2 evolved in the [13C]phenol treatment was 1.2 ± 0.2 µmol (equivalent to 35% of added substrate). The amounts of total 13CO2 evolved in all three of the control treatments (0.2 ± 0.06 µmol) were statistically indistinguishable from one another and from the background value interpolated from the concentration of 12CO2 produced in the [13C]phenol treatment. If the 13C-phenol substrate had had a mixture of 12C and 13C atoms, then the total pool of measured 12CO2 would have been slightly larger, the corresponding background values for inferred 13CO2 would also have been higher, and the estimate of net 13CO2 from 13C-substrate would be conservative. A field-based experiment using the open-bottom soil cover assay also compared inferred (1.17% of 12CO2) and directly measured amounts of 13CO2 (Fig. 3). A burst of [13C]glucose respiration was found in these open chambers after 6 h, corresponding to 2% of the total added. But most importantly, the background level of 13CO2 measured beneath chambers lacking [13C]glucose matched the 13CO2 concentration inferred from the 12CO2 concentration measured in the treatment receiving [13C]glucose.
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FIG. 3. Field respiration experiment verifies that interpolated (inferred) 13CO2 matches that of measured controls. In the field release open-bottom soil cover assay, treatments were with water only and 400 µg of [13C]glucose. The percentage in parentheses shows the proportion of the total substrate recovered as 13CO2. The inferred background was 1.17% of the 12CO2 in the 13C-glucose treatment. Each treatment was performed in triplicate; error bars indicate standard deviations. (Note: the ambient temperature during this assay was 10°C cooler than for the ones shown in Fig. 4.)
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FIG. 4. Results of field release open-bottom soil cover assay. All four 13C-labeled substrates were added to field soil and covered with a chamber. GC/MS analysis monitored both 12CO2 and 13CO2 concentrations. Net 13CO2 reflects total 13CO2 minus inferred background 13CO2. The percentage in parentheses shows the proportion of the total of each added substrate recovered as 13CO2. Three to five replicate treatments were prepared; error bars indicate standard deviations.
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30 g); (ii) a soil core; and (iii)
5 g of crushed soil. Table 1 provides a summary of the results of all 16 field respiration treatments (four substrates and four soil treatments). Among the four treatments with glucose listed in Table 1, that with crushed soil within the sealed chamber had the highest metabolic activity: the total 13CO2, net 13CO2, proportion of substrate respired (68%), and rates were consistently at least three times greater than those for the other glucose treatments. Predictably, the values for the respiration of glucose in the open-bottom soil cover assay, especially the total recovered as 13CO2, were the lowest among the four treatments. Nonetheless, the initial rate of respiration in the soil cover assay nearly matched that of the sealed chambers containing intact ped and core. |
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TABLE 1. Summary of 13CO2 field respiration assays conducted in the agricultural field test plots
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After monitoring of the 13CO2 production in the open-bottom soil cover field chambers (Fig. 4), the surface soil from both 13C and 12C treatments was collected and DNA was fractionated. Although only the [12C]DNA band was visible, we removed fluid from the ultracentrifuge tubes in the location where [13C]DNA was expected. In all paired treatments of 12C- and 13C-amended soils, an amplicon of 16S rDNA (
1,500 bp) was obtained only from the location of [13C]DNA in 13C-substrate-treated soil. Because no amplicons resulted from our attempts to amplify the 16S rDNA from the location of [13C]DNA in 12C-substrate treatments, we concluded that amplicons from the 13C-substrate-treated soils represented microbial populations that directly or indirectly metabolized and grew on the 13C-substrates in situ.
Following cloning of the mixture of 16S rDNA amplicons,
100 white colonies were screened from each soil extract by their RFLP patterns and 29 unique clones were selected for sequencing. A phylogenetic tree was constructed from the full sequences and 23 reference strains. Sequences derived from the seven glucose-metabolizing populations were related to Arthrobacter spp. (high G+C gram-positive cluster); to Pseudomonas, Acinetobacter, and Massilia spp. (
and ß proteobacteria); and to Flavobacterium and Pedobacter spp. (Cytophaga/Flavobacterium/Bacteroides group). The 14 active phenol-degrading populations were related to members of the
and ß proteobacteria: Pseudomonas, Alcaligenes, Acinetobacter, Pantoea, Enterobacter, and Stenotrophomonas. The five caffeine-degrading populations were restricted exclusively to the
proteobacteria: Acinetobacter, Pantoea, Enterobacter, and Stenotrophomonas. The three naphthalene-degrading populations (
and ß proteobacteria) were related to Pseudomonas, Acinetobacter, and Variovorax.
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Approaches to assess biodegradation have traditionally relied upon laboratory-based measures of metabolic potential (10, 14, 34). As mentioned in the introduction, a long-standing criticism of this approach is that resultant data may be misleading because of artifacts imposed on microbial reactions by unrealistic laboratory conditions (34, 55). Other approaches to measure biodegradation have ranged from empirical observation of diminished effectiveness of intentionally released chemicals (e.g., herbicides [38]) to rare field release of 14C-labeled substrates (8, 30) to the use of conservative tracers during injection and retrieval of substrates in subsurface environments (16, 22, 25, 47). Issues surrounding the effectiveness and interpretations of such assays have been previously addressed (34, 39).
To our knowledge, this report is the first to implement methodologies that simultaneously assess the activity and identity of soil microorganisms metabolizing 13C-labeled substrates in situ. The metabolic activity assay is based on the detection of substrate-derived 13CO2 in excess of background 13CO2 respired from soil organic matter. The limits of sensitivity reflect the interactions among total 13C-substrate added, the size of native soil microbial populations adapted for substrate metabolism, the ambient rate of 13CO2 produced from soil organic matter, and the volume of soil contributing to headspace 13CO2. We had hoped that SF6 might act as a conservative tracer that would allow calculation of 13CO2 recovery; however, this proved futile because a single dose of SF6 in the headspace does not mimic a constant source of CO2 beneath. Preclusion of a mass-balance budget for the added substrate has obvious drawbacks, especially for compounds that are only slowly metabolized. Despite such drawbacks, the data presented here provide a proof of principle that the open-bottom soil cover approach is able to document in situ substrate mineralization. Predictably, when the physical soil structure was destroyed, respiration rates were very high (Table 1); this disturbance artifact has been extensively documented previously (5, 12, 52). Surprisingly, the initial rates in the open-bottom soil cover assay nearly matched the rates detected in sealed adjacent vessels in which the soil structure had been kept intact (Table 1). This lack of departure between true in situ and adjacent ex situ assays may have important implications. It may be that disturbance artifacts implicit in the carrying out of laboratory-based soil biodegradation assays can be minimized by maintaining soil structure and carefully mimicking genuine field conditions. This possibility needs to be verified and could add needed robustness to biodegradation testing techniques.
The [13C]DNA assay used here, aimed at identification of active populations, was pioneered by Radajewski et al. (45) and is analogous to a lipid biomarker assay developed by Boschker et al. (4). The principle (extraction, separation, and PCR amplification of 16S [13C]rDNA sequences in soil) is elegant. In the original application, [13C]methanol was added in two doses at a relatively high concentration (50 µl to 10 g of soil). Furthermore, in order to be certain that a strong [13C]DNA band appeared in the CsCl gradient, the laboratory incubation was for 44 days. It is likely that the incubation conditions chosen by Radajewski et al. (45) caused substantial alteration in the active populations (enrichment); furthermore, by the end of the assay the 13C label may have migrated beyond 1° degraders to other members of the microbial community. Our field strategy avoided the long incubation. This was enforced by the fact that the burst of 13CO2 from added substrate was not likely to be detectable beyond the first day of incubation. Despite the relatively brief exposure period to 13C-substrates used here (1 day), we cannot be certain that the 16S rDNA sequences that we recovered represented the organisms active in the first step of community metabolism.
The data in Fig. 4 and 5 show that glucose and phenol were rapidly converted to 13CO2 in soil and that the 13C fraction of soil DNA identified active populations. Surprisingly, even when no 13CO2 was detected in excess of the background produced from soil organic matter (naphthalene and caffeine treatments), the [13C]DNA assay revealed active populations. There are two ways to explain this apparent anomaly. The first involves questioning the validity of our strategy for identifying the active cells. We only analyzed amplicons from the location of the [13C]DNA band in 13C-treated soil when the corresponding CsCl location from 12C-treated soil failed to contain amplifiable 16S rDNA. The logic here seems sound and directs us to the next explanation: we speculate that the microbial populations able to grow on naphthalene and caffeine were present, active, and doubled at least twice within 24 h. Two doublings are necessary to obtain a pool of DNA fully labeled with13C. If the populations were small enough, then they may have produced PCR-detectable 16S rDNA but failed to produce 13CO2 in excess of that emitted from organic matter in soil beneath the chamber.
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FIG. 5. Dendrogram showing phylogenetic relationships among 29 16S rDNA sequences obtained from extracted 13C-labeled soil DNA and 23 relevant reference strains. The sequences from treatments receiving [13C]glucose, [13C]phenol, [13C]caffeine, and [13C]naphthalene are indicated by the prefixes "Glu," "Phe," "Caf," and "Nap," respectively.
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700 g of soil beneath the open-bottom treatment), but in no case did the soil become saturated. Net respiration appeared to be independent of soil mass (Table 1). Our interpretation is that in all treatments the soil matrix provided sufficient volume to contain the aqueous substrates; thus, the effective population sizes exposed to the 13C-substrates were equivalent. The portion of soil adjacent to that which was in contact with the aqueous-phase 13C-substrates apparently only influenced the biodegradation assay by contributing background CO2. Many previous investigations have reported soil enrichment and/or plating and isolation experiments that identify bacterial cultures capable of growing on a variety of organic compounds on defined media in the laboratory (19). Also, previous studies have surveyed substrate-responsive populations in laboratory-incubated environmental samples (29). However, to our knowledge, no prior study has produced a list of bacterial genera active in situ in field soil on particular carbon substrates. While PCR primer and cell lysis biases must be acknowledged as a potential influence in the information produced (Fig. 5), it is still noteworthy that this approach delivered sequence data on members of 11 genera with overlapping niches (6 genera active on glucose, 6 on phenol, 4 on caffeine, and 3 on naphthalene). Perusal of Bergey's Manual (19) and the GenBank database indicates that 10 of the genera retrieved from field soil have routinely been isolated as chemoorganotrophs from soil, water, and/or sewage habitats. The 11th, Massilia, has representatives from human and environmental samples. Thus, there is remarkable agreement between the results reported here and those from prior culture-based investigations. The results of this investigation, which introduced C substrates to soil, confirm the notion that the genera whose sequences were found are ecological opportunists (r selected [1]). The amendment-based approach utilized in this study would not likely be able to identify less responsive, slow-growing (K-selected [1]) members of the soil microbial community.
Present address: National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020, India. ![]()
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