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Applied and Environmental Microbiology, December 2005, p. 7750-7758, Vol. 71, No. 12
0099-2240/05/$08.00+0 doi:10.1128/AEM.71.12.7750-7758.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Institut für Agrarökologie, Bundesforschungsanstalt für Landwirtschaft, 38116 Braunschweig, Germany
Received 3 May 2005/ Accepted 28 July 2005
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-Proteobacteria, Actinobacteria, and Pseudomonas, respectively. The diversity of the amplified products was analyzed by genetic profiling based on single-strand conformation polymorphism (SSCP). Neither the tolerant nor the sensitive plants, the latter with visible above-ground damage, showed ozone-induced differences in any of the SSCP profiles, with the single exception of Actinobacteria-targeted profiles from S. asper. To increase the stress, S. asper was germinated and raised in the continuous presence of an elevated level of ozone. SSCP profiles with Bacteria-specific primers combined with gene probe hybridizations indicated an ozone-related increase in a Xanthomonas-related 16S rRNA gene and a decrease in the respective gene from the plant plastids. The fact that only this latter unrealistic scenario caused a detectable effect demonstrated that ozone stress has a surprisingly small effect on the structural diversity of the bacterial community in rhizospheres. |
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Most ecological research on the impact of ozone on terrestrial ecosystems is limited to effects observed above ground. However, it can be assumed that below-ground processes may also be affected, as plants live in close association and interaction with soil microorganisms, particularly in the rhizospheres and during decay of the plant material (21, 25). Knowledge on the potential effects of ozone-stressed plants on soil is fairly limited to the fact that root growth seems to be more affected than shoot growth and that carbon allocation may change to the disadvantage of the roots (10). Ozone-stressed plants may have a different root morphology (19) and a decreased starch content in their roots (1, 10), probably leading to an altered rhizodeposition (30). At the ecosystem level, it was observed that total soil carbon formation in aspen and mixed aspen-birch forests was reduced by elevated ozone against a background of elevated carbon dioxide after an exposure of 4 years (23). A possible role of ozone stress altering soil processes was also reported in a study of ozone-stressed blue wild rye: in response to the ozone stress, soil bacterial biomass decreased, but fungal biomass increased (53).
The objective of this study was to elucidate the effect of ozone on the structural diversity of bacteria inhabiting the rhizosphere. As this habitat is mainly influenced by the carbon and energy sources released by the plants, it was suspected that an altered root metabolism of ozone-stressed plants would become evident in the selection of different bacterial communities. The structural composition of the bacterial communities was evaluated by a cultivation-independent approach, based on PCR-amplified partial 16S rRNA genes from DNA directly extracted from the rhizospheres (37). Single-strand conformation polymorphism (SSCP) was chosen as a genetic profiling technique to directly compare the community composition from different samples with each other and to allow the identification of differences by DNA sequencing and phylogenetic analyses (12, 40, 46). In previous studies, this approach allowed bacterial communities from rhizospheres of two crops grown in the same soil to be distinguished (38) and for the effects of genetically engineered plants on their associated bacterial communities to be evaluated (4, 39).
To study whether below-ground processes in natural ecosystems would be affected, a total of eight herbaceous plants native to Germany were grown in the same soil and exposed in open-top chambers (OTCs) to ozone concentrations that may occur on sunny summer days. In addition, controls were incubated with a normal background of ozone, as a complete lack of ozone in the atmosphere would have been unrealistic. According to their response to ozone, five of these species were considered ozone resistant (Anthoxanthum odoratum, Achillea millefolium, Poa pratensis, Rumex acetosa, and Veronica chamaedrys), with no visible injuries after the ozone incubations, while three species were ozone sensitive (Matricaria chamomilla, Sonchus asper, and Tanacetum vulgare), as detected by foliar injuries. In addition to these experiments, which represented real-world episodic ozone stress, one ozone-sensitive plant species, i.e., S. asper (5), was also grown and incubated under continuous levels of increased atmospheric ozone. This latter treatment was included to test the response of the bacterial community structure under more vigorous conditions.
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Plant seeds of Anthoxanthum odoratum, Achillea millefolium, Rumex acetosa, and Veronica chamaedrys were obtained from Rieger-Hofmann (Blaufelden-Raboldshausen, Germany); Poa pratensis var. LATO was obtained from Saatzucht Steinach (Steinach, Germany); Sonchus asper and Matricharia chamomilla were obtained from Blauetikett-Bornträger (Offstein, Germany); and Tanacetum vulgare was from Suffolk Herbs, Monks Farm (Kelvedon, Colchester, Essex, United Kingdom).
A total of eight plant species were analyzed in this study and tested in an accompanying study with the same OTC system. These species were classified as ozone tolerant or ozone sensitive depending on the absence or occurrence of visible leaf injuries after ozone exposure in the OTCs (E. Bergmann and J. Bender, unpublished results). In the first year of the study (2000), the ozone-resistant plant species A. odoratum, A. millefolium, P. pratensis, R. acetosa, and V. chamaedrys were analyzed. These plants were exposed to ozone over a period of 5 weeks. In the following growing season, the ozone-sensitive species M. chamomilla, S. asper, and T. vulgare were exposed to ozone for 6 weeks.
In the third year of this study, only S. asper was selected; this species had already been raised from seeds under continuous fumigation (8 h day1, except for days with sustained rainfall) with charcoal-filtered air (CF) as a control or CF plus approximately 50-ppb ozone (CF + 50). After 28 days in the control chamber, three pots were transferred to OTCs with CF + 50 to include the exposure that was applied in the previous years as a control stress treatment. Five plants were raised in each pot. For each treatment, three replicate mesocosms were analyzed, thus including a total of 15 individual plants. Samples of the rhizosphere microbial community were collected 63 days after germination. All plants were watered regularly.
Sampling of rhizosphere bacteria and DNA extraction.
At the end of the ozone exposure, bacterial cells were collected from the rhizosphere samples. In the course of a destructive harvest, the roots of an entire mesocosm were carefully separated from the surrounding soil. The core regions of the established root system of all plants within a pot were collected and combined for each species and mesocosm (four individual plants). Rough soil particles were removed by dipping the roots for 30 to 60 s into tap water. The bacterial cells were then detached from the roots and adhering rhizosphere soil by washing 15 to 20 g root material in 300 ml sterile saline solution (0.85% NaCl [wt/vol]) for 0.5 h at 4°C in an orbital shaker (GFL, Burgwedel, Germany) at 20 rpm. After removal of the root material, the cell suspensions were centrifuged at 4,100 x g for 30 min. The supernatants were discarded, and the pellets were stored at 70°C until DNA extraction.
The bacterial cell pellet was lysed using five subsequent cycles of freeze-thawing, followed by proteinase K treatment and DNA phenol-chloroform extraction, as described in more detail previously (40). The DNA was then purified with a DNA purification kit (Wizard-DNA purification; Promega, Mannheim, Germany) and stored at 20°C. Alternatively, in the third year of the study (S.asper experiment), total genomic DNA was extracted with the BIO101 FastDNA SPIN kit for soil (Qbiogene, Carlsbad, Calif.) according to the manufacturer's instructions, comprising a bead beater treatment. With both methods, a pellet of 0.1 to 0.2 g (wet weight) yielded 100 µl of DNA solution in the range of 10 to 100 ng DNA µl1.
PCR amplification of partial 16S rRNA genes.
For genetic profiling, a partial sequence of the 16S rRNA gene was PCR amplified. This sequence was located between positions 519 to 926, according to the numbering of the respective gene of Escherichia coli (7). The PCR product, which included the variable regions V4 and V5, was amplified by PCR with primers, universal for Bacteria (Com1 and Com2-Ph) (36, 40) (Table 1). The Com2-Ph primer was phosphorylated at the 5' end for the following single-strand digestion (40). A reaction mixture of 50 µl contained 1x PCR buffer, 1.5 mM MgCl2, 0.2 mM each deoxynucleoside triphosphate, 0.5 µM each primer, 2.5 U Platinum Taq-Polymerase (Invitrogen, Karlsruhe, Germany), and 1 µl of template (1:10 dilutions of the extracted DNA in 10 mM Tris-HCl, pH 8.0) (35). The PCR conditions were as follows: initial denaturation for 3 min at 94°C; 30 cycles, each consisting of denaturation for 1 min at 94°C, primer annealing for 1 min at 50°C, and a 70-s extension at 72°C; and a final elongation step of 5 min at 72°C. The thermocycling was conducted with 200-µl tubes in a MWG Primus 96 cycler (MWG Biotech, Ebersbach, Germany). All primers used in this study were synthesized by MWG Biotech. To decrease minor variations due to PCR variability, three independent PCRs were performed; subsequently, the PCR products were combined.
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TABLE 1. Primer specificities and their sequences used for PCR amplification of partial 16S rRNA genes in this study
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For the group-specific PCR amplifications, a reaction mixture of 25 µl was prepared with 1x PCR buffer, 1.5 mM MgCl2, 0.2 mM each deoxynucleoside triphosphate, 0.5 µM each primer, 1.25 U Platinum Taq-Polymerase, and 0.5 µl template DNA (1:10 dilution of the original DNA solution). Thermal cycling started with an initial denaturation for 3 min at 94°C, followed by 25 cycles each consisting of denaturation at 94°C for 1 min; primer annealing, depending on the chosen primer pair (Table 1); a 2-min extension at 72°C; and a final elongation for 10 min at 72°C. To amplify the 16S rRNA genes of
-Proteobacteria, an annealing temperature of 56°C and an incubation time of 1 min were chosen. For the group of Actinobacteria, the annealing temperature was 63°C for 1 min. To obtain amplicons of the genus Pseudomonas, each cycle included an annealing of 2 min at 63°C. All PCR products were analyzed for their expected size and purity by electrophoresis on 1% agarose gels stained with ethidium bromide (35). The second PCR amplification was done with primers Com1 and Com2-Ph as described in the paragraph above, but here only with 25 cycles.
SSCP.
All PCR products subjected to SSCP analysis were purified with QIAquick spin columns (QIAGEN, Hilden, Germany) and quantified with PicoGreen reagent for double-stranded DNA (Molecular Probes, Eugene, Oreg.) according to the manufacturers' instructions. For single-strand digestion, up to 1,000 ng of DNA was digested for 45 min at 37°C in a total volume of 50 µl, with 2.5 U lambda exonuclease in 1x exonuclease buffer (New England Biolabs, Beverly, MA). The digestion was stopped with the first step of the purification with spin columns of the MinElute DNA cleanup system (QIAGEN).The columns were eluted with 10 µl of the supplied buffer; afterwards, 9 µl of SSCP loading buffer (10 mM NaOH, 0.25% xylene cyanol [wt/vol], 0.25% bromophenol blue [wt/vol], and 95% formamide [vol/vol]) was added to the eluate. The samples were denatured (2 min at 95°C, following 3 min on ice) directly before 6 µl of sample was loaded into each well. Based on the DNA concentrations of the PCR products, each lane of an SSCP gel received the same amount of total DNA to increase comparability of the SSCP profiles on a gel with each other.
The SSCP analysis was carried out following the protocol described in more detail previously (12). Briefly, the samples were separated on 0.4-mm-thick, 21-cm-long nondenaturing polyacrylamide gels of 0.625x MDE (Cambrex, East Rutherford, NJ) in 1x Tris-borate-EDTA (35). Electrophoresis was carried out for 17 h at 400 V (maximum, 8 mA) and at 20°C in a Macrophor (Amersham Bioscience, Freiburg, Germany). The SSCP profiles were visualized by silver staining (3).
Cloning and sequencing of partial 16S rRNA genes.
The sequences of 16S rRNA genes were determined either (i) directly from PCR products amplified from total bacterial DNA extracted from the rhizospheres or (ii) from bands selected from SSCP profiles. The PCR products from community DNA were cloned into competent cells of E. coli JM109 using the pGEM-T Vector system from Promega (Mannheim, Germany). The cloned PCR products were amplified with vector-specific primers as previously described (36). The amplified products were analyzed by amplified ribosomal DNA restriction enzyme analysis (ARDRA) (48). ARDRA groups were defined on the basis of DNA patterns obtained from two restriction endonucleases, i.e., AluI (Amersham Bioscience) and TacI (New England Biolabs, Beverly, MA).
Bands of SSCP profiles were cut out from dried gels, and the DNA was recovered by the crush and soak procedure (35). The DNA was then amplified by PCR with the primers Com1 and Com2-Ph, as described above. The PCR products were purified with QIAquick spin columns (QIAGEN; samples taken in 2000) or NucleoSpin Extract spin columns (Machery & Nagel; samples taken in 2002) and cloned as described above. The cloned DNA sequences were amplified with vector-specific primers (36), and the products were further amplified with Com1 and Com2-Ph. These products were subjected to another SSCP procedure to compare their electrophoretic mobility with the bands from the original community profiles. Only cloned PCR products in the expected positions were sequenced by cycle sequencing (36). The corresponding forward and reverse sequences were aligned with Consed software (http://www.phrap.org) to generate consensus sequences, which were then imported into the ARB software environment (24) for alignment and deletion of the primers. The sequences were compared to public databases using FASTA (http://www.ebi.ac.uk/fasta33/) or blastn (http://www.ncbi.nlm.nih.gov/blast/) and analyzed for chimera with the respective tool provided by the Ribosomal Database Project (8).
Gene probes and Southern blotting of SSCP gels.
The Southern blotting procedure for SSCP gels as used in this study has been described in detail previously (12, 37). Briefly, both plates enclosing the SSCP gel were treated with Repel-Silane (Amersham Bioscience). Sample preparation and electrophoresis were performed as described above, except that the gels were not stained after the electrophoretic run. Instead, the DNA separated by SSCP was transferred from the gels to positively charged nylon membranes (Hybond N+; Amersham Bioscience) by electroblotting using a Multiphor II (Amersham Bioscience) with a NovaBlot transfer unit, according to the manufacturer's instructions. The transfer conditions were set to 0.8 mA cm2 for 5 h with 1x Tris-borate-EDTA. Membranes were dried at room temperature and DNA was cross-linked to the membrane with UV light (266 nm; FluoLink) at 1.5 J cm2.
Specific probes to target the 16S rRNA gene between E. coli position 537 and 906 (7) were designed with the ARB software environment (24) and evaluated with OLIGO 6 software (MBI, Cascade, Colo.) and the Probe Match tool of the Ribosomal Database Project (8). Oligonucleotide probes were purchased from MWG Biotech and directly labeled with alkaline phosphatase using the AlkPhos Direct Labeling and Detection system (Amersham Bioscience). Membranes were hybridized in tubes, 4 cm in diameter and 30 cm long, with 20 ml hybridization buffer supplemented with 0.5 M NaCl and 100 ng labeled probe. The tubes were incubated in a hybridization oven (Oncor Appligene) for approximately 16 h at the temperature specified for each probe (Table 2).
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TABLE 2. Description of gene probes developed and applied in this study
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Digital image and statistical analyses of SSCP profiles.
To calculate similarities between different SSCP profiles, GelCompar II software (Applied Bio-maths, Kortrijk, Belgium) was used. For each gel, individual background subtraction and median filtering with least-square filtering were applied as suggested by the software. The profiles were normalized with help of the SSCP migration markers (Fig. 1), and the Pearson correlation was used to calculate a similarity matrix based on pairwise comparison of densitometric curves. Mean similarity values and the respective standard deviations were calculated for replicate samples or for groups that were compared to each other (e.g., treatment compared to control). Statistical significance of variance was evaluated by one-way analysis of variance (ANOVA) using SigmaStat 2.03 software for Windows (SPSS Inc., San Rafael, CA) by comparing mean similarity values of different treatments to the values generated from all treatments to be compared.
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FIG. 1. SSCP profiles of rhizosphere bacterial communities from the ozone control treatment (CF + 25) of Veronica chamaedrys, Poa pratensis, Anthoxanthum odoratum, Rumex acetosa, and Achillea millefolium. Four independent replicates are shown for each species. The 16S rRNA genes were PCR amplified with the universal primers Com1 and Com2-Ph. M, lanes with SSCP migration markers, which consisted of PCR-amplified rRNA genes from pure cultures of (from top to bottom) Bacillus licheniformis, Rhizobium trifolii, Flavobacterium johnsoniae, and Rhizobium radiobacter (double band).
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Calculation of phylogenetic trees.
Phylogenetic trees were calculated with ARB software (24). The ARB database (ssjun02.arb) was updated with the closest related 16S rRNA gene sequences of the respective target sequences found by database searches. Maximum-likelihood trees (FastDNA ML) were calculated from selected sequences of at least 1,000 nucleotides by applying the respective column filters. Conservation filters of 50% minimal similarity were generated for each tree on the respective sequences with >1,000 nucleotides, with all options at the "don't use when maximum" setting. Shorter sequences were added to the trees with the parsimony interactive option, including local optimization and the respective conservation filter.
Nucleotide sequence accession number.
The sequences determined in this study have been deposited in the GenBank database under the accession numbers AJ874129 to AJ874261 and AJ937631 to AJ937668.
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FIG. 2. SSCP profiles of rhizosphere bacterial communities from Matricaria chamomilla, Sonchus asper, and Tanacetum vulgare from the ozone control treatments (, CF + 25) and treatments with ozone-enriched air (+, NF + 50), four replicates each treatment. These gels were normalized for the position of the SSCP migration markers (see Fig. 1 for markers). The profiles were generated by PCR of 16S rRNA genes from the following groups according to different primer specificities (Table 1), i.e., Bacteria (A), -Proteobacteria (B), Actinobacteria (C), and Pseudomonas (D). The arrowheads indicate sequences similar to the following species, from top to bottom: Caulobacter henricii, Rhizobium giardinii, and Devosia riboflavina (B); Streptomyces lincolnensis and Streptomyces turgidiscabies (C); and Pseudomonas sp. (D).
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-Proteobacteria (39 clones) affiliated within this group (AJ874253 to AJ874255 and AJ937631 to AJ937641). The accuracy of the approach targeting Pseudomonas (30 clones) was 87% (AJ 874258 and AJ937642 to AJ937653), with all non-Pseudomonas sequences affiliating with the Xanthomonadaceae (AJ937654 to AJ937655).The PCR targeting the Actinobacteria (34 clones) had an accuracy of 77% for this phylum (AJ874256, AJ874253, and AJ937656 to AJ937662); all sequences outside of the Actinobacteria belonged to the phylum Verrucomicrobia and within this phylum only to the family Verrucomicrobiaceae (AJ937663 to AJ937668). An in silico analysis using the ARB program confirmed the potential detection of all nontarget sequences reported here (data not shown). Despite the detection of nonspecific sequences, the chosen primer pairs of this study were regarded as sufficiently specific to distinguish the effect of ozone stress on different phylogenetic groups within the Bacteria.
Effects of ozone on rhizosphere bacterial communities of tolerant plant species.
The ozone-tolerant plant species (Anthoxanthum odoratum, Achillea millefolium, Poa pratensis, Rumexacetosa, and Veronica chamaedrys) exhibited no symptoms in response to an incubation with daily ozone episodes (NF + 50) over a period of 5 weeks (data not shown). The SSCP analysis of the rhizosphere bacterial community, based on the universal primers (Com1 and Com2-Ph) targeting all Bacteria, generated profiles which consisted of 15 to 30 detectable bands, depending on the plant species. The profiles from bacterial communities of ozone-stressed plants (NF + 50) were indistinguishable from those of the unstressed controls (CF + 25), as judged on the basis of visual inspection of the profiles and on ANOVA of similarity values between densitometric curves (Fig. 1; data of the stress treatment not shown). The SSCP profiles were highly specific for each plant species, indicating the sensitivity of this approach to detect structural differences in the bacterial rhizosphere communities.
To characterize the diversity of bacteria that was detected with the SSCP profiles, dominant bands from those profiles were chosen for DNA sequencing. From a total of 124 clones selected, most sequences (53.2%) fell into the phylum Proteobacteria; among these, most were attributed to members of the
-Proteobacteria (26.6% of all clones analyzed), while 9.7% were related to the ß-Proteobacteria and 6.9% were related to the
-Proteobacteria (see the supplemental material). Bacteroidetes (19.4%) and Actinobacteria (8.9%) were other prominent phyla that contributed to the profiles. About 60% of the sequences affiliated with sequences from noncultivated organisms. Interestingly, 50% of all sequences were most closely related to 16S rRNA genes that had been detected in bacteria from soil or sediment, while of the other 50%, almost half affiliated with sequences obtained from rhizosphere bacteria (see the supplemental material).
Rhizosphere bacterial communities of ozone-sensitive plants.
Before the ozone exposure, all plant species included were healthy with no leaf injuries. After an exposure to daily elevated ozone episodes over a period of 6 weeks, however, all plants from the elevated ozone treatments showed visible injuries on the leaves, as well as an increased ratio of chlorotic and senescent leaves compared to plants taken from OTCs with the control treatment (CF + 25) (data not shown). The SSCP profiles generated from the Bacteria-specific amplicons did not differ between the controls and the ozone-stressed plants (ANOVA of mean similarity values; P < 0.05), despite ozone-specific damage to the individual plants (Fig. 2A). As found with the ozone-tolerant plants, each of the ozone-sensitive plants harbored a structurally different bacterial community. The complexity of the profiles with 15 to 30 bands was similar to that of the ozone-tolerant plants.
Nested-PCR approaches were applied to increase the sensitivity of detection for specific members of phylogenetic groups suspected to be quantitatively and possibly qualitatively important, i.e.,
-Proteobacteria, Actinobacteria, and Pseudomonas. The use of this approach reduced the complexity of the profiles to <15 distinguishable bands. With each targeted phylogenetic group, specific profiles were obtained (Fig. 2B to D). Pairwise comparisons of the similarity matrices with ANOVA (P < 0.05) indicated a response to ozone exposure only for S.asper-derived profiles targeting Actinobacteria. All other profiles were unaffected.
Interestingly, the SSCP profiles that were generated by nested PCR were less specific for each plant species than the profiles for the Bacteria, as indicated by higher similarity values for the respective specific profiles from all plants than those calculated for the Bacteria-specific profiles (data not shown). Thus, bacteria from other than the selected phylogenetic groups were more sensitive to different host plants. The profiles targeting the
-Proteobacteria (Fig. 2B) exhibited some specificity for T. vulgare compared to the other two species, the latter being more similar to each other. On the other hand, several dominant bands from the group-specific profiles were seen in the Bacteria-specific profiles, indicating their quantitative contribution to total bacterial diversity.
Sequencing of the dominant bands found in the
-Proteobacteria indicated the prevalence of bacteria that could be attributed to the genera Caulobacter (AJ874255), Rhizobium (AJ874254), and Devosia (AJ8742453) (bands marked in Fig. 2B). These dominant bands were also detected in the profiles of the universal analysis (Fig. 2A) where they were strong in the profiles of M. chamomilla, but weaker in those of S. asper and T. vulgare. The dominant bands from the SSCP profiles targeting the Actinobacteria (Fig. 2C) were closely related or identical to 16S rRNA genes of Streptomyces lincolnensis (AJ874256) and Streptomyces turgidiscabies (AJ874257). Comparable bands were detected in the profiles of the universal analysis of all plant species, indicating that they contributed to the dominant members of the total bacterial rhizosphere community. In contrast, the dominant bands of the analysis targeting Pseudomonas (Fig. 2D) were hardly detectable in profiles obtained with universal primers, suggesting a quantitatively minor role of this group in the total rhizosphere bacterial community. Sequencing of the dominant bands, indicated in Fig. 2D, revealed a single sequence (AJ874258) which was identical to the respective gene of Pseudomonas fluorescens, Pseudomonas tolaasii, and Pseudomonas corrugata, respectively.
Effect of continuous ozone exposure on rhizosphere bacteria.
The ozone-sensitive species S. asper was successfully raised from seeds in the OTCs under continuous ozone fumigation (CF + 50). As expected, all plants exposed to ozone showed visible injuries in contrast to the healthy plants of the control treatment. The different SSCP profiles generated with the Bacteria-specific primers from the communities of the rhizospheres from ozone-stressed and control plants were very similar and not distinguishable by statistical methods (ANOVA; P < 0.05). However, some minor variations occurred in the intensities of three single bands (Fig. 3A). Band a in the upper part of the profiles was stronger in the samples of the control experiment (t test; P < 0.05), whereas the intensities of band b in the middle of the profile and band c at the bottom seemed to increase with prolonged ozone exposure (Fig. 3A). However, these latter differences could statistically not be confirmed.
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FIG. 3. SSCP profiles of PCR-amplified rRNA genes of bacterial communities from the rhizosphere of Sonchus asper germinated and raised from seeds under ozone exposure (65 days of exposure) or in the control chamber (0 days of exposure) or germinated from seeds in the control chamber and moved after 37 days to the chamber with elevated tropospheric ozone levels (28 days of exposure); three independent replicates of each. (A) Silver-stained SSCP gels; (B to D) Southern blot analysis with the ORGA620 probe (B), STEN838 probe (C), and the OXAL635 probe (D). For description of lanes M, see the legend to Fig. 1.
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As band intensities are only an indicator of abundance but not proof (37), the relevant SSCP gel was blotted onto a membrane and successively hybridized with gene probes, specifically developed from the three respective sequences (see Materials and Methods). Labeled probes discovered the corresponding bands in all lanes and were specific only for these targeted bands. The probe ORGA620 which targeted the 16S rRNA gene of plastids (band a) revealed that the intensity of the bandin fact decreased with prolonged ozone exposure (t test) (Fig. 3B). In contrast, the intensity of band b, which seemed to increase under ozone exposure in the silver-stained SSCP profiles, did not hybridize accordingly with probe OXAL635. Thus, it was likely that the band variation was caused by an additional sequence that was not detected with the selected gene probe (Fig. 3D). However, the hybridization with probe STEN838 targeting the Xanthomonas-like sequence retrieved from band c in fact detected a slight increase in the intensity of this band with exposure to ozone (t test; P < 0.05) (Fig. 3C). Thus, the quantitative stimulation of this as-yet-uncultured Xanthomonas-related organism by ozone stress was confirmed.
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The rhizosphere represents a microbial habitat in soil that is most strongly influenced by plants. It has been shown in several studies that the composition of root exudates, which mainly serve as carbon and energy sources of bacteria and fungi, has a strong influence on the structural diversity of bacteria inhabiting this ecological niche (22, 31, 38, 40, 42). Following the conclusion of Hofstra and coworkers (19) that below-ground processes may be changed by elevated levels of trophospheric ozone before symptoms on plants become detectable, this study first examined the structural diversity of bacteria from the rhizospheres of ozone-tolerant plants. The ozone stress chosen in this study corresponded with the normal elevated ozone concentrations that can be found in the summer in Germany (nonfiltered air plus 50-ppb ozone). As a control, these plants were compared to charcoal-filtered air plus 25 ppb of ozone to avoid the detection of ozone stress caused by a lack of ozone. It turned out that the elevated levels of ozone did not select for a different bacterial community composition, as seen by a diversity of approximately 30 different SSCP bands representing different ribosomal rRNA genes. Despite known biases generated by the use of PCR amplifications of partial rRNA genes from mixed templates (13, 36, 45, 49), it can be assumed that most of the amplified rRNA genes were derived from bacteria with a considerable, if not dominant, abundance in the rhizospheres. In contrast to the lack of detection of an effect caused by ozone exposure, the profiling technique was sensitive enough to detect differences between the four plant species investigated in this context.
Plant species-specific effects were also seen in profiles from ozone-sensitive plants incubated under the same conditions. As expected, these plants exhibited typical ozone-specific leaf injuries and chlorosis, as they have been described in more detail elsewhere (5). With the focus on the bacterial diversity in the rhizospheres, however, these differences between ozone-stressed and unstressed controls were generally not seen below ground. Neither Bacteria-specific profiles nor those with a more narrow phylogenetic range picked up an ozone-triggered difference, with the exception of the Actinobacteria in the rhizosphere of S. asper. These differences were picked up by statistical analysis of digitalized SSCP profiles, but they could not be attributed to the presence or absence of specific bands. All selected phylogenetic groups chosen in this study, i.e., Actinobacteria,
-Proteobacteria, and Pseudomonas, can typically be found as members of the bacterial communities in rhizospheres (15, 18, 20, 37). However, other equally important groups, i.e., the ß-Proteobacteria and
-Proteobacteria other than Pseudomonas-Xanthomonas or Bacteroidetes were left out of this study; sequencing of several SSCP bands from the Bacteria-specific profiles indicated their abundance in the rhizospheres of the selected plants of this study. Thus, it may be possible that ozone-specific effects on those groups were missed. However, dramatic quantitative changes are unlikely, as the profiles encompassing all Bacteria were also unaffected.
The result that the ozone-damaged plants harbored the same structural diversity as the controls was quite surprising, as it is well documented that ozone stress affects the carbon allocation between shoot and root (1, 10), as well as rhizodeposition (29, 30). Obviously, for the herbaceous plants tested in this study, these signals were not sufficient to modify the structural composition of the bacterial community. In some recent studies based on genetic profiling of PCR-amplified 16S rRNA genes, it could be shown that this technique is sensitive enough to distinguish even between bacterial communities of the same plant but of different ages (4, 16, 38, 42). Thus, it can be assumed that the applied technique was sufficiently sensitive to detect a substantially different root exudation. This assumable minor effect of ozone is corroborated by a study of microbial communities found beneath trees after incubation at elevated levels of tropospheric ozone over a period of 3 years (34). In that study, phospholipid fatty acid (PFLA) analysis of the microbial communities revealed that the relative proportions of gram-positive and gram-negative indicator PFLAs were not affected. In contrast, a reduction of fungal PFLAs was observed in that study, indicating that fungi are possibly more responsive in the rhizospheres of ozone-stressed plants than bacteria.
Provoked by the inertia of the bacterial community structure in response to ozone stress under a bad but realistic scenario, another experiment was included to increase the vigorousness of ozone stress. The ozone-sensitive plant S. asper was raised under continuous presence of increased levels of ozone in a background of charcoal-filtered air (CF + 50), whereas the control received ozone-free air. It should be noted that for S.asper, in contrast to other plants, a lack of ozone does not result in any symptoms of stress (5). An intermediate treatment was included with plants germinated and grown for 28 days in ozone-free air and then transferred to continuous ozone exposure. Despite visible injuries under ozone exposure, only 3 bands of a total of >35 bands of the SSCP profiles presumably changed, with 2 bands increasing in intensity with ozone and 1 band decreasing. Gene probe hybridization revealed that the band decreasing in intensity was related to plastids and a band increasing in intensity was related to a member of the Xanthomonas group. The gene probe targeting the third band did not respond to the treatment, indicating that the evaluation of band intensities may not always be sufficient for quantitative interpretations of genetic profiles. The changing band intensity may have been caused by additional comigrating sequences, as has been described in other studies based on SSCP or denaturing gradient gel electrophoresis (37, 41).
Plastids in root cells typically store starch as an energy reservoir. The decrease in the plastids of root cells from ozone-stressed S. asper plants is in accordance with the observation that was made with two different tree species, in which a decrease in starch content of the roots was detected in response to ozone stress (2, 9). The only bacterium that was detected to be more abundant in the rhizospheres of ozone-stressed plants was a member of the Xanthomonas group. Although phylogenetic affiliation can at best be suggestive of the biology of an organism, the increase in abundance of a Xanthomonas, a genus that harbors plant pathogenic bacteria (33, 43), raises the question of an elevated sensitivity to pathogens of the plant in response to ozone. On the other hand, it has been reported that ozone may reduce the infection severity of bacterial plant diseases (27), which is in agreement with the observation that ozone triggered the pathogen defense pathway (52). Thus, an increase in a single organism from the Xanthomonas group may simply be the effect of accelerated senescence triggered by ozone stress, as it has been described at the symptomatic level for another herbaceous plant (26).
This work was supported by the European Commission (BIOSTRESSproject; contract no. EVK2-CT-1999-00040).
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