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Applied and Environmental Microbiology, October 2001, p. 4414-4425, Vol. 67, No. 10
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.10.4414-4425.2001
Changes in Populations of Rhizosphere Bacteria
Associated with Take-All Disease of Wheat
Brian B.
McSpadden
Gardener1,2,* and
David M.
Weller1
Root Disease and Biological Control Research
Unit, USDA Agricultural Research Service, Pullman,
Washington,1 and Department of Plant
Pathology, The Ohio State University, Wooster,
Ohio2
Received 3 May 2001/Accepted 8 July 2001
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ABSTRACT |
Take-all, caused by Gaeumannomyces
graminis var. tritici, is one of the most
important fungal diseases of wheat worldwide. Knowing that
microbe-based suppression of the disease occurs in monoculture wheat
fields following severe outbreaks of take-all, we analyzed the changes
in rhizosphere bacterial communities following infection by the
take-all pathogen. Several bacterial populations were more abundant on
diseased plants than on healthy plants, as indicated by higher counts
on a Pseudomonas-selective medium and a higher
fluorescence signal in terminal restriction fragment length
polymorphism analyses of amplified 16S ribosomal DNA (rDNA). Amplified
rDNA restriction analysis (ARDRA) of the most abundant cultured
populations showed a shift in dominance from Pseudomonas to Chryseobacterium species in the rhizosphere of
diseased plants. Fluorescence-tagged ARDRA of uncultured rhizosphere
washes revealed an increase in ribotypes corresponding to several
bacterial genera, including those subsequently identified by partial
16S sequencing as belonging to species of alpha-, beta-, and
gamma-proteobacteria, sphingobacteria, and flavobacteria. The
functional significance of some of these populations was investigated
in vitro. Of those isolated, only a small subset of the most abundant
Pseudomonas spp. and a
phlD+ Pseudomonas sp.
showed any significant ability to inhibit G. graminis var. tritici directly. When
cultured strains were mixed with the inhibitory
phlD+ Pseudomonas
strain, the Chryseobacterium isolates showed the least
capacity to inhibit this antagonist of the pathogen, indicating that
increases in Chryseobacterium populations may facilitate the suppression of take-all by 2,4-diacetylphloroglucinol-producing phlD+ pseudomonads.
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INTRODUCTION |
Take-all is a root disease of wheat
and barley caused by the fungus Gaeumannomyces
graminis var. tritici (2). Several
practices can be used to limit the disease on susceptible crops,
including tillage, rotation, choice of variety and N fertilizer, and
chemical and biological seed treatments (7, 10, 30, 38).
However, in regions where monoculturing of small grains is climatically and economically favored, continuous crops of wheat or barley can be
productively maintained despite the presence of the pathogen. Unlike
most root diseases, a severe outbreak of take-all followed by 4 to 6 years of monoculturing of wheat or barley will induce a natural
suppression of the disease called take-all decline (TAD) (13). The suppressive factor in TAD soils is known to be a
heat-labile fraction of soil microbial communities (2,
13). The occurrence of TAD in different wheat-growing regions of
the world is remarkable because soil microbial communities are affected
by both plant and soil factors (12, 17). In the state of
Washington, studies have shown that antibiotic-producing fluorescent
Pseudomonas spp. are present in TAD soils and can suppress
take-all (5, 8, 24, 32, 34, 36, 42, 44, 47, 48).
Recently, work has focused on understanding the contributions of
fluorescent Pseudomonas spp. that synthesize
2,4diacetylphloroglucinol (2,4-DAPG) to take-all suppression.
Pseudomonads that produce this broad-spectrum antibiotic can suppress a
variety of fungal root pathogens when applied as seed and soil
inoculants (14, 35, 39, 44). Indigenous populations of
these bacteria are abundant in TAD soils, and take-all suppression has
been correlated with their presence in soils(34, 36). The
diversity of these functionally important pseudomonad populations has
been investigated (22, 29), and the capacity of different
genotypes to control root diseases is the subject of ongoing study.
Other bacterial populations, including pseudomonads that do not produce
2,4-DAPG, are known to increase in abundance in the rhizosphere of
diseased roots (23, 37, 38, 46); however, their
involvement in the induction of TAD and their impact on populations of
2,4-DAPG-producing Pseudomonas spp. are unknown. To better
understand the roles of different microbial populations in the
development of take-all and its subsequent decline, it is necessary to
compare bacterial communities inhabiting the rhizospheres of both
healthy and diseased wheat plants. Past approaches for analyzing
microbial community structure in take-all pathosystems have focused on
isolating specific bacteria on selective media and identifying shifts
in responses to pathogen infections (23, 37, 38, 46). The
limitations of culture-based approaches are well known, and it has been
suggested that complementary methods should be used to properly assess
microbial communities in soil (18). In this study, we used
two high-throughput methods: a culture-dependent method for enumerating
specific populations of pseudomonads (28) and a
culture-independent method for analyzing terminal restriction fragment
length polymorphisms (T-RFLPs) of amplified 16S ribosomal DNA (rDNA)
(19), called fluorescence-tagged amplified rDNA
restriction analysis (FT-ARDRA) (25, 26).
The purpose of this study was to assess the changes in rhizosphere
bacterial communities that occur when wheat roots go from a healthy to
a diseased state. Our objectives were to (i) determine the association
between different populations of Pseudomonas spp. and
take-all disease on wheat roots, (ii) identify new bacterial taxa not
previously associated with the ecology of take-all or TAD, and (iii)
determine the capacity of the identified and cultured bacterial
populations to inhibit the take-all pathogen and 2,4-DAPG-producing biocontrol bacteria.
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MATERIALS AND METHODS |
Bacterial and fungal culturing.
All chemicals were obtained
from Sigma Chemical Co., St. Louis, Mo., unless noted otherwise. All
bacterial and fungal cultures were incubated at room temperature
(23 ± 2oC) in the dark. Bacteria were
maintained on a Pseudomonas-selective medium, 1/3×
KMB+++ (28), based on Simon-Ridge
medium (40). Stock cultures of all strains were stored in
1/3× KMB (no antibiotics added)-18% glycerol at
80°C.
G. graminis var. tritici strain
R3-111a-1 (32) was used to infest soil and for in vitro
inhibition assays. Fungi were maintained on fresh 1/5× PDA
(containing, per liter, 4 g of dextrose, infusion from 40 g
of freshly boiled potatoes [pH 6.3], and 18 g of agar). Oat
kernel inoculum of G. graminis var. tritici was prepared by adding sliced agar cultures of
G. graminis var. tritici to sterilized
oat kernels in 1-liter flasks and incubating the mixtures at room
temperature for 3 to 4 weeks. Colonized oat seeds were then air dried
in a laminar flow hood and stored at room temperature for up to 6 months prior to use. Virulent stock cultures of G. graminis var. tritici were stored at 5°C.
Soils used for comparisons.
Soils at the Washington State
University Mount Vernon Research and Extension Unit, Mount Vernon, are
conducive to take-all and develop suppressiveness for take-all with
several years of wheat monoculturing. On 3 November 1997, winter wheat
(Triticum aestivum L. cv. Madsen) was
mechanically sown at a rate of 90 lb of seed per acre. Part of the
field was infested with G. graminis var.
tritici-infested oat kernels (20% [wt/wt] of seed, or
0.6 g of oat kernels per row meter) (32).
Infested and noninfested plots were established side by side across the
field. Soil from the noninfested portions of the field was designated
soil A, and soil from the infested portions was designated soil B. In
October 1998 and October 1999, the field was again seeded with wheat, but no G. graminis var. tritici
inoculum was added. During the 1997-1998 growing season, plants
growing in soil A were significantly more healthy than those growing in
soil B (P < 0.05), as indicated by lower root disease
ratings, higher head counts, and yield (data not shown). During the
following growing season, disease was observed across the entire field,
and no significant differences in crop health were noted between the
two soils (data not shown). Soils A and B were collected in the fall
seasons of 1998 and 1999 from field plots following harvest for use in
growth chamber assays.
Growth chamber assays.
Tapered plastic tubes (SC-10
Supercell containers; Hummert International, Earth City, Mo.) were
filled with 0.1 kg of fresh soil into which two seeds of wheat
(T. aestivum L. cv. Penewawa) were planted 1 cm
below the surface. To half of the tubes, five to eight G. graminis var. tritici-infested oat kernels were
added to the soil in a single layer 3 cm below the seed. The tubes were watered to saturation, covered with clear plastic wrap to maintain humidity, and placed in a growth chamber (15°C, 12-h light-dark cycle). After 5 days, the plastic wrap was removed, and the tubes were
watered biweekly as needed. At 10 to 14 days after planting, plants
were thinned to one per container and returned to the chamber. At 5 weeks after planting, the plants were harvested for microbiological analyses. Each tube served as a replicate, and a total of 15 to 18 replicates of each treatment were used in each experiment.
Processing of rhizosphere samples.
Rhizospheres from
individual plants were processed separately as described previously
(28). Briefly, samples from different treatments were
processed in parallel. The intact portion of each root system was
recovered from the soil, separated from the shoot, and placed in 7.5 ml
of sterile distilled water. Bacteria and adhering soil were dislodged
from the roots by vortexing and subsequent incubation in a sonication
bath. One-hundred microliters of each sample was serially diluted 1:3
in a 96-well microtiter plate (Costar, Corning, N.Y.), each well of
which was prefilled with sterile distilled water. Aliquots from these
"rhizosphere-wash" plates were used to inoculate dilution plates
for culturing bacteria and as templates for PCR amplification of rDNA
sequences (see below).
Enumeration of cultured bacterial populations.
Growth
chamber assays were used to determine the abundance and diversity of
cultured rhizosphere bacterial populations. From rhizosphere-wash
plates, 50 µl of each dilution was transferred to other 96-well
plates containing 200 µl of 1/3× KMB+++ per
well. These culture plates were incubated at room temperature in the
dark for 48 ± 4 h, and bacterial growth was assayed
spectrophotometrically (an optical density at 600 nm of
0.05 was
scored as positive). Replica plates were made by transferring half of
each culture into an equal volume of 35% glycerol, and these plates
were stored at
80°C. The original culture plates were frozen at
80°C for a minimum of 1 h and then transferred to a
20°C
freezer for storage.
The abundance and diversity of 2,4-DAPG-producing
Pseudomonas spp. in the dilution cultures were determined
using a previously described PCR-based assay (28).
Briefly, portions of the phlD gene (4) were
amplified using gene-specific primers B2BF (ACC CAC CGC AGC ATC GTT TAT
GAG C) and BPR4 (CCG CCG GTA TGG AAG ATG AAA AAG TC). To determine the
genotype of phlD+ populations,
amplification products were digested with HaeIII or
TaqI (New England Biolabs, Beverly, Mass.). DNA fragments
were separated on agarose gels in 0.5× Tris-borate-EDTA and visualized by ethidium bromide staining. Gel images were processed using a Kodak
(Rochester, N.Y.) EDAS120 or EDAS290 digital imaging system.
Characterization of cultured bacterial populations.
The most
abundant cultured bacterial populations were recovered from the highest
dilution scored positive for growth (i.e., the terminal dilution
culture [TDC]) and stored in glycerol. In most instances, a single
dominant bacterial morphotype was isolated from each TDC by streaking
on 1/3× KMB+++ agar. In instances when two
morphotypes appeared to be equally dominant, both were purified
and used in subsequent analyses. The distributions of morphotypes
recovered from fresh and frozen TDCs matched exactly (data not shown).
Sixty-nine isolates were obtained from the 1998 samples, and 98 more
were obtained from the 1999 samples. All isolates were classified
initially by morphotype and genomic fingerprinting using the
primer BOXAIR (BOX=PCR) as described previously (29) (data
not shown), and 53 representative isolates from independent replicates
of each treatment in each year were chosen for further analyses. The
genotypes of these representative isolates were determined using
amplified rDNA restriction analysis (ARDRA) of 16S rDNA, and partial
sequences of multiple representative ribotypes were subsequently
determined as described below. In addition, two
phlD+ isolates, MtV1 and MtV2, present in
Mount Vernon soils A and B, respectively, were obtained on glycerol
replica plates from the terminal dilution in which they were detected
as described previously (28).
Characterizations of amplified 16S rDNA sequences.
Nearly
full-length portions of 16S rDNA were PCR amplified from eubacterial
templates with high-pressure liquid chromatography-purified oligonucleotide primers 8F (5'-AGA GTT TGA TCC TGG CTC AG-3') and 1492R
(5'-ACG GCT ACC TTG TTA CGA CTT-3'), based on those described by
Weisburg et al. (45) (Operon Technologies, Alameda, Calif.). For FT-ARDRA, a fluorescence-labeled primer, 8F-HEX, was used
instead of 8F. Templates for PCR amplification were obtained from
freeze-thaw lysates of either (i) whole cells of isolated bacteria,
(ii) the third and fourth dilutions of the rhizosphere-wash plates, or
(iii) isolated plasmids containing cloned 16S sequences. Amplification
was carried out with a 25-µl reaction mixture containing 2.5 µl of
10× buffer (Promega Corp., Madison, Wis.), 1.8 µl of 25 mM
MgCl2, 2.5 µl of 2 mM deoxynucleoside
triphosphates, 14.4 µl of sterile distilled water, 1 µl of each
primer (50 pmol per µl), 0.2 µl of RNase A (2 mg/ml), 0.33 µl of
Taq DNA polymerase (5 U/µl) (Promega), and 5 µl of
template. Amplification was performed with a PTC-200 Thermocycler (MJ
Research Inc., Watertown, Mass.). The cycling program included a 5-min
initial denaturation step at 95°C; 30 cycles of 94°C for 60 s,
54°C for 45 s, and 70°C for 60 s; and an 8-min final
extension step at 70°C. Amplification products were separated on
agarose gels and visualized as described above.
Restriction digestions were performed with 96-well plates. Each
digestion included 7 µl of a PCR reaction mixture and 10 U
of
either
RsaI or
MspI (New England Biolabs) in a
total volume
of 30 µl. Reaction mixtures were incubated at 37°C for
2 to 4
h and then stored at

20°C. For standard ARDRA,
restriction fragments
were separated by electrophoresis on 1.6%
agarose gels and visualized
as described above. For FT-ARDRA, digests
were submitted to the
Laboratory for Biotechnology and Bioanalysis,
Washington State
University, Pullman, for electrophoresis and imaging.
There, 2
µl of each digest was mixed with 2 µl of loading buffer
containing
a fluorescence-labeled DNA size standard (G2500-ROX; Applied
Biosystems,
Foster City, Calif.) and loaded onto 6% urea-containing
polyacrylamide
gels. Electrophoresis was performed with an ABI373
sequencer (Applied
Biosystems) such that DNA fragments of

1,100 bp
could be sized.
Data were collected automatically using the B filter
and analyzed
with GeneScan 2.1 software and Genotyper 2.1 (Applied
Biosystems).
To identify the bacteria corresponding to different ribotypes in T-RFLP
profiles, we initially analyzed our results using
web-based TRFLP-TAP
software (
21) available through the Ribosomal
Database
Project (
http://www.cme.msu.edu/RDP/html/analyses.html;
Center for
Microbial Ecology, Michigan State University, East
Lansing)
(
20). Using this software, we assembled lists of bacteria
whose sequences were present in the 16S ribosomal database (release
7.0) and predicted to have terminal restriction fragments (TRFs)
corresponding to three possible situations: (i) one terminal
restriction
fragment (TRF) increasing in each profile with similar peak
areas
(matched pairs), (ii) one TRF increasing in each profile but with
dissimilar peak areas (unmatched pairs), and (iii) one TRF increasing
in one profile and a predicted matching signal that was visible
but not
actually increasing in the second profile (lone peak).
Given the
extensiveness of the lists, only matched and unmatched
pairs were
considered useful for predicting the bacterial genera
corresponding to
specific ribotypes given the two restriction
enzymes used in our
analyses.
Additional analyses relied on partial sequencing of amplified16S
rDNA. For identification of the cultured isolates, direct
sequencing
was performed using primer 8F. To supplement FT-ARDRA,
a clone bank was
prepared from rDNA amplified from three different
diseased plants. To
do so, amplification products were separated
on an 0.7% agarose gel,
extracted using a QIAEX II gel extraction
kit (Qiagen, Valencia,
Calif.), and ligated into the pGEM-T Easy
vector (Promega) according to
the manufacturer's protocol. Plasmids
were introduced into
Escherichia coli cells and isolated from
transformants using standard methods (
3). Plasmids
containing
inserts representing distinct ribotypes were identified from
a
collection of over 70 transformants by ARDRA of whole-cell templates.
The nucleotide sequences of cloned inserts and PCR products from
individual isolates were determined by using an ABI Prism dye
terminator cycle sequencing kit (Perkin-Elmer) according to the
manufacturer's instructions. Sequence data were analyzed with
BLAST
using the web server housed at the National Center for Biotechnology
Information (
1). Taxonomic designations were made
following
the terminology of Bergey's Manual Trust
(
http://www.cme.msu.edu/bergeys/taxonomyinfo.html),
Michigan State University, East
Lansing.
In vitro inhibition assays.
Agar plugs (7-mm diameter) of
G. graminis var. tritici were
transferred to the center of a fresh plate of 1/5× PDA and incubated at room temperature in the dark. On the following day, a bacterial inoculum was prepared by resuspending isolated colonies in 150 µl of
1/3× KMB to an optical density at 600 nm of between 0.2 and 0.4. Ten
microliters of the bacterial inoculum (106 cells)
from four different bacterial strains was inoculated at four
equidistant positions along the perimeter of the assay plate. For each
assay, the positions of the inoculated strains were randomized, each
strain appeared on four different assay plates inoculated on two
separate occasions, and three uninoculated control plates were used.
Plates were incubated for up to 8 days at room temperature in the dark.
Growth of the fungus was assayed at two different time points in each
assay, when the growth on the uninoculated control plates was
approximately 0.7 times and 1.0 times the radius of the plate. Two
measurements were made: the distance from the edge of the plug to the
growing edge of the fungus (x) and the distance from the
edge of the bacterial growth to the growing edge of the fungus
(y). For each replicate, an inhibition index (i)
was calculated as follows: i = y/(x+y). The impact of each bacterial
strain on the activity of 2,4-DAPG-producing fluorescent Pseudomonas spp. was assessed in similar assays in which a
mixed bacterial inoculum was used, with each individual strain and
strain MtV1 being present at a 3:1 ratio.
Statistical analyses.
Statistical analyses were performed
with the assistance of the JMP statistical software package (SAS Inc.,
Cary, N.C.) and the data analysis package bundled with Microsoft Excel
97 (Microsoft Corp., Redmond, Wash.) and with appropriate parametric
and nonparametric procedures (27). Disease ratings, median
population counts, and TRF peak areas were compared using the
two-sample Mann-Whitney test, and inhibition indices were compared
using the Tukey-Kramer multiple-range test.
Nucleotide sequence accession numbers.
Cloned sequences were
deposited into GenBank under accession numbers AF375827 through
AF375850.
 |
RESULTS |
Changes in cultured bacterial populations.
Using a
Pseudomonas-selective liquid medium (i.e., 1/3×
KMB+++), we observed differences in the size and
diversity of bacterial populations cultured from healthy and diseased
roots of wheat plants grown in a growth chamber. Changes in specific
bacterial populations were associated with increased levels of disease
in four different comparisons (Table 1).
In each of the comparisons, the abundance of cultured bacteria was
higher in diseased than in healthy rhizospheres (P < 0.05). Amplified rDNA restriction analyses of 16S sequences obtained
from the dominant bacterial populations (i.e., those recovered from
TDCs) revealed several different genotypes (Fig.
1). In these experiments, two groups of
bacteria were found in the majority of TDCs, ARDRA groups I and II.
These two ARDRA-defined genotypes belong to Pseudomonas and
Chryseobacterium, respectively, based on >500 bp of16S rDNA sequence obtained from several isolates of each group. The ARDRA group
II bacteria were isolated more frequently from the TDCs obtained from
diseased plants than any other ARDRA-defined genotype. In contrast,
ARDRA group I isolates were obtained less frequently from the
rhizospheres of diseased roots than from those of healthy roots.
Populations of phlD+ Pseudomonas
spp. were more abundant in the rhizospheres of diseased plants only
when they were grown in the previously noninfested field soil (soil A).
These differences were observed as both counts of and frequency
of rhizosphere colonization by indigenous
phlD+ bacteria. In all instances, the RFLP
pattern of the detected phlD sequences matched that of known
BOX D genotypes of phlD-containing pseudomonads
(28), and phlD-containing pseudomonads
corresponding to that genotype were isolated (Fig.
2).
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TABLE 1.
Changes in cultured bacterial populations associated with
take-all disease on wheat grown in two Mount Vernon soils in growth
chambers
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FIG. 1.
ARDRA of distinct strains of the most abundant bacterial
populations isolated from wheat rhizospheres in this study. All
bacteria were cultured on 1/3× KMB+++. ARDRA of 16S
sequences was performed using MspI and
RsaI. Restriction digests of 16S sequences amplified
from the most abundant cultured bacteria obtained from the 1998 (lanes
1 through 5) and 1999 (lanes 6 through 12) growth chamber experiments
are shown, as are digests of sequences obtained from bacteria with the
capacity to inhibit G. graminis var.
tritici in vitro (lanes 13 through 15). The ARDRA group
designation for each strain is indicated at the bottom of the figure.
The five ARDRA groups identified in the1998 samples are represented by
isolates U5 (lane 1), dI14 (lane 2), U3 (lane 3), dU1 (lane 4), and U1
(lane 5). The seven ARDRA groups identified in the 1999 samples are
represented by strains C201A (lane 6), C201 (lane 7), C2+6 (lane 8),
C2+4 (lane 9), E1+1 (lane 10), E102 (lane 11), and C204B (lane 12). In
addition, representative strains with the ability to inhibit the
take-all pathogen are also displayed: strain dI1 (lane 13), strain E206
(lane 14), and phlD+ strain MtV1 (lane 15).
The sizes of individual fragments were determined based on the 100-bp
ladder shown in lanes M.
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FIG. 2.
Genotyping of phlD-containing bacteria
present in the soils of Mount Vernon, Wash. Representative results for
the growth chamber assays are shown. The phlD sequences
were amplified using gene-specific primers B2BF and BPR4 and
subsequently digested with either HaeIII or
TaqI. Set 1 includes samples of several terminal
phlD+ dilutions and isolates obtained from
rhizospheres of wheat grown in soils A and B. Set 2 includes three
isolates of a different genotype obtained from a Lind, Wash., soil for
contrast. A known 2,4-DAPG-producing, BOX D genotype strain of
Pseudomonas fluorescens (Q8r1-96) was
used as a positive control for comparison (lane C). The sizes of
individual fragments were determined based on the 100-bp ladder shown
in lanes M.
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Changes in uncultured bacterial populations.
To identify
differences in other bacterial populations, we examined rhizosphere
bacterial communities using FT-ARDRA. Analyses were performed with
fluorescence-tagged sequences amplified from washes of healthy and
diseased roots grown in growth chambers (n = 8) and in
field conditions (n = 6). Four comparisons of
the bacterial communities inhabiting diseased and healthy roots were made using the same growth chamber-grown plants as those used for the
culture-based assays (see above). The T-RFLP profiles generated for one
of these comparisons (1998 soil A) are shown in Fig.
3. The results of the other three
comparisons were similar (data not shown). Additionally, a fifth
comparison was made of the bacterial communities inhabiting healthy and
diseased roots of mature wheat grown in the field in 1998 (Fig.
4) because differences in take-all
disease were readily apparent that year. In all five comparisons, the
total fluorescence signal (i.e., total PCR product) was greater in
amplifications of diseased samples than in those of healthy ones
(P < 0.05). The threefold serial dilution of the wash
template resulted in a significant reduction of the amplified signal (P < 0.01 for each experiment), but the overall
topology of the T-RFLP profiles (i.e., the rank order of TRF peak
areas) was maintained (Fig. 3 and 4). In each profile, approximately 24 TRFs were clearly visible above the background noise level, and
approximately half of those contributed the large majority of the
fluorescence signal in each T-RFLP profile.

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FIG. 3.
FT-ARDRA of bacterial communities inhabiting the
rhizospheres of healthy and diseased wheat grown in growth chambers.
The analysis shown was perfomed on rhizosphere washes of diseased (D)
and healthy (H) plants grown in soil A which had been collected from
Mount Vernon, Wash., following harvest in 1998. The T-RFLP profiles
were generated from amplified 16S sequences digested with either
MspI or RsaI. In each panel, overlaid
chromatographic traces from four independent samples are displayed. The
data for two serial dilutions (3 and 4) of rhizosphere washes from each
condition (D and H) are shown. Signals corresponding to TRFs that
increased significantly in the rhizospheres of diseased plants in all
of the 1998 and 1999 growth chamber experiments are indicated by black
arrows, while those specific to this 1998 experiment are indicated by
grey arrows. The size of each TRF in base pairs is indicated by the
horizontal scale at the top the GeneScan results display, and the
abundance of each is correlated with the peak area given in arbitrary
fluorescence units on the vertical scale.
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FIG. 4.
FT-ARDRA of bacterial communities inhabiting the
rhizospheres of healthy and diseased wheat grown in the field. The
analysis shown was performed on rhizosphere washes of diseased (D) and
healthy (H) plants grown at Mount Vernon, Wash., in 1998. The T-RFLP
profiles were generated from amplified 16S sequences digested with
either MspI or RsaI. In each panel,
overlaid chromatographic traces from six independent samples are
displayed. The data for two serial dilutions (3 and 4) of rhizosphere
washes from each condition (D and H) are shown. Signals corresponding
to TRFs that increased significantly in the rhizospheres of diseased
plants both in the field and in the growth chamber experiments are
indicated by black arrows, while those specific to the field samples
are indicated by the grey arrows. The size of each TRF in base pairs is
indicated by the horizontal scale at the top the GeneScan results
display, and the abundance of each is correlated with the peak area
given in arbitrary fluorescence units on the vertical scale.
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Comparisons of the T-RFLP profiles from diseased and healthy plants
revealed differences in several fluorescence signals,
each comprising
>1% of the total peak area. Most of the significant
differences were
observed in all four growth chamber comparisons,
but some were soil
and/or year specific (Fig.
3). In these assays,
the peak areas
of fluorescence-labeled TRFs observed at 204, 334,
404, 490, and 542 bp
in the
MspI-generated profiles and at 94,
118, 179, 310, 474, 829, 884 bp in the
RsaI-generated profiles
were greater
in the profiles of
G. graminis var.
tritici-infected
root samples (
P < 0.05 for
each signal, all experiments). These
differences indicated that the
bacterial genomes that gave rise
to each of these signals were more
abundant in the rhizospheres
of take-all-infected plants. The relative
abundance, i.e., the
proportion of an individual peak area relative to
the total peak
area, was also greater for some of these TRFs: M404,
M542, R179,
and R310 (
P < 0.10 for each signal, all
comparisons). Similar
results were obtained in comparisons of the
T-RFLP profiles of
the more mature healthy and diseased plants grown in
the field
in 1998 (Fig.
4). In these rhizospheres, the peak areas of
most
of the fluorescence-labeled TRFs observed to increase in the
growth
chamber experiments were also observed to increase in the
field
(
P < 0.05), including M334, M404, M490,
M542, R118, R310, R474,
R829, and R884 (Fig.
4).
In the course of doing these experiments, we observed soil-to-soil and
year-to-year variations in the T-RFLP profiles. For
example, the
profiles of the younger, growth chamber-grown plants
did not completely
match those obtained from the mature, field-grown
plants (compare Fig.
3 and Fig.
4). Some of these differences
included signals that were
identified as significant in comparisons
made for individual growth
chamber assays (Fig.
3) or the single
field assay (Fig.
4). One example
is the 440-bp TRF in the
MspI-generated
profile that was
increased in all of the1998 experiments but not
in the 1999 growth
chamber experiments. There were also changes
in the relative abundances
of some signals. For example, TRF R118
represented a much smaller
fraction of the total signal in the
profiles obtained from the field
samples than in those obtained
from the growth chamber samples (compare
Fig.
4 to Fig.
3).
Identification of significant ribotypes.
Having determined the
sizes of the major MspI- and RsaI-generated TRFs,
especially those associated with take-all infection, we attempted to
identify the bacterial species giving rise to these ribotypes using two
different methods. The first used the web-based TRFLP-TAP tool to
generate a list of bacterial genera that could have given rise to those
TRFs. The second approach was to sequence 16S rDNA sequences directly
from rhizosphere washes and cultured isolates and compare their
individual T-RFLP profiles to those generated from the
whole-rhizosphere samples.
In total, over 24, primarily gram-negative, prokaryotic genera
belonging to 10 different bacterial divisions were predicted
to be
potentially present in our profiles by the TRFLP-TAP tool.
These
included the well-known soil- and root-inhabiting genera
Pseudomonas,
Aeromonas,
Caulobacter,
Sphingomonas,
Azospirillum,
Zooglea,
Burkholderia,
Klebsiella,
Serratia,
Enterobacter,
Erwinia,
Pantoea,
Rhizobium,
Agrobacterium,
Rhodopseudomonas,
Cytophaga,
Flavobacterium, and
Flexibacter. Gram-positive genera that were
predicted to be
present in the profiles, included
Achromobacter,
Acetobacter,
Bacillus, and
Actinobacillus, all well known as soil
inhabitants.
Arthrobacter-like signals were conspicuously
absent
in this study. Additionally, mycoplasma-like and
chloroplast-like
signals were present in the
profiles.
We next tried to identify bacterial ribotypes corresponding to matched
pairs of TRFs that were more abundant in the profiles
of
take-all-infected roots. The first of these, M542 and R310,
corresponded to the greatest single difference in terms of total
peak
area in comparisons of healthy and diseased plants (Fig.
3 and
4). Four
possible genera contained strains that could be
responsible for these
signals:
Flexibacter,
Cytophaga,
Pedobacter,
and
Psychrospora. (It is important to
note here that not all known
species of these genera were predicted to
give TRFs M542 and R310).
The second matched pair was M204 and R94
(Fig.
3), and the bacteria
that could give rise to these signals were
predicted to belong
to
Chryseobacterium or
Riemerella. Some signals that were more
prominent in the
diseased samples than in the healthy samples
were putatively identified
using the TRFLP-TAP tool as unmatched
pairs. In this way, the M204
signal might also be ascribed to
two other lineages known only by their
16S sequences, "str. DCM-like"
(R878) and "clone 1-60-like"
(R309) bacteria. This is because
the corresponding
MspI-generated TRFs predicted by the TRFLP-TAP
tool were
observed to be much more intense (i.e., much larger
peak area) than the
observed
MspI-generated peaks. Similar observations
were
made for M334, which was matched only to an uncultured lineage
similar
to clone JW32 (R490). In contrast, most of the other unmatched
pairs
were similar to previously cultured genera listed above.
For example,
the M404 signal might have originated from a strain(s)
of
Sphingomonas or
Zymomonas (R118),
Rhizobium (R826), or
Bartonella (R828 and R870).
However, little could be inferred from most of
these predictions
because so many of them consisted of very different
genera.
Furthermore, without having additional digests, it was
impossible to
deduce which combinations of peaks could be reasonably
combined to give
rise to the observed
profiles.
To further elucidate which bacterial taxa gave rise to specific TRFs,
we analyzed individual 16S rDNA sequences amplified
from (i) the
dominant bacterial isolates growing on the
Pseudomonas-selective
media and (ii) a clone bank of
sequences amplified from the rhizospheres
of diseased roots. In the
first situation, we partially sequenced
the 16S rDNAs amplified from 18 different isolates, a set which
represented all of the distinct ARDRA
groups obtained from both
the 1998 and the 1999 growth chamber
experiments (Fig.
2). Direct
sequencing of these amplified sequences
followed by BLAST comparisons
to GenBank revealed a high degree of
sequence similarity to known
species of
Pseudomonas
(ARDRA group I),
Chryseobacterium (ARDRA
group II),
Sphingobacterium (ARDRA group III),
Agrobacterium
(ARDRA
group IV),
Stenotrophomonas (ARDRA group V), and
Flavobacterium (ARDRA group VI). We also sequenced 31 clones
representing distinct
ARDRA genotypes present in a clone bank prepared
from washes of
diseased rhizospheres and found that they had
significant similarity
to a number of known soil-inhabiting bacterial
genera (data not
shown). Of these 49 sequences, 17 contained
MspI and
RsaI restriction
sites that could give
rise to matched pairs of TRFs that increased
in abundance in the
rhizospheres of diseased roots (Table
2).
Based on partial sequencing, the TRFLP-TAP tool predictions, and
the
TRFs of the isolated sequences, we can reasonably assert that
the
bacterial taxa responsible for particular TRFs identified
can be
ascribed to strains belonging to the genera listed in Table
2.
Interestingly, more than one unique sequence and/or isolate
could
account for each of the six different matched signals. For
example,
clones A13 and A20 had identical patterns of TRFs (i.e.,
M490 and R119)
but differed somewhat in their actual sequences.
Likewise, isolates
dI1, I5B, C101A, U5, E206, and E201 all gave
rise to TRFs M490 and R880
but differed in their colony morphologies
(data not shown) and capacity
to inhibit the take-all pathogen
(see below) as well as their 16S rDNA
sequences. These results
indicate that some degree of diversity is
present in these signals
at the subgenus level.
View this table:
[in this window]
[in a new window]
|
TABLE 2.
16S rDNA sequence-based identification of bacterial
isolates and cloned sequences corresponding to matched pairs of
T-RFLP signals that increased following take-all infection
|
|
In vitro interactions among dominant cultured populations,
G. graminis var. tritici,
and 2,4-DAPG producers.
Having identified differences in specific
rhizosphere populations, we investigated the capacity of some of these
bacteria to inhibit G. graminis var.
tritici in the presence and absence of
phlD+ bacteria in vitro (Table
3). The
phlD+ strains had the greatest capacity to
inhibit the take-all pathogen. Of the 53 phlD-negative isolates tested, only five (dI1, dI1B, I1, I5B, and E206) displayed any significant inhibition of the take-all
pathogen. These five isolates represented approximately 10% of the
dominant cultured populations in terms of the random sample of 53 isolates and the full set of 167 isolates obtained from the TDCs and
analyzed by BOX-PCR (data not shown). Notably, all five belonged to
ARDRA group I, the same group as that of phlD+ strain MtV1 (Fig. 2). The 22 other
ARDRA group I isolates did not show any significant capacity to inhibit
G. graminis var. tritici (Table 3).
When each of the 53 isolates was mixed 3:1 with the
phlD+ strain, several of them appeared to
reduce the capacity of the phlD+ strain to
inhibit the pathogen in vitro; however, none of the observed
differences was statistically significant (P > 0.10). Notably, though, the ARDRA group II isolates showed the least capacity
to interfere with the inhibition of G. graminis
var. tritici by the phlD+
strain (Table 3). In most instances, the morphology of the mixed cultures differed from that of the individual isolates on the inhibition plates. However, mixtures containing I1 or E206 developed a
morphology indistinguishable from that of the isolates themselves, indicating that these two isolates prevented the growth of the phlD+ strain.
View this table:
[in this window]
[in a new window]
|
TABLE 3.
Inhibition of G. graminis var.
tritici and phlD+ strain MtV1 by
representative isolates of the most abundant bacterial strains
cultured from the rhizospheres of healthy and diseased wheat
|
|
 |
DISCUSSION |
Because no single method can give an absolutely comprehensive view
of soil microbial communities (18), we used two
independent measures of bacterial population structure to obtain a more
complete picture of the monotonic changes in rhizosphere bacterial
populations that occurred following take-all infection. Culturing on
Pseudomonas-selective media and FT-ARDRA of rhizosphere
washes revealed that the diversity of rhizosphere bacterial populations
changed following the development of take-all disease (Table 1 and Fig.
3 and 4). The two types of assays also allowed us to independently
detect significant increases in two different bacterial
populations associated with take-all infection. These populations were
subsequently identified as species of Pseudomonas and
Chryseobacterium (Table 2). Other differences in bacterial
populations were observed only in the culture-independent T-RFLP
analyses of amplified16S rDNA sequences. Web-based analyses can be
performed to identify the phlyogenetic group(s) giving rise to specific
TRFs in these types of analyses (21), but the limits to
this approach are only now becoming fully recognized (9,
21). In this study, the genera of the cultured and uncultured
ribotypes could not be accurately determined, except by partial
sequencing of amplified 16S rDNA (Table 2), but sequence-based
identification using rDNA amplified from environmental samples is not
without its limitations as well (33, 41). Nonetheless, there was a correspondence between these two approaches at the level of
bacterial genera. Indeed, the genus for the highest-scoring match from
GenBank always corresponded to one of the bacterial genera identified
by the TRFLP-TAP tool as a potential source of the ribotype of that
sequence. The use of primers specific to a subset of bacterial
taxa below the superkingdom level of eubacteria might alleviate the
need for partial sequencing of isolated 16S sequences, but such a
choice would also limit the breadth of bacterial taxa examined. Using
our combined approach, we identified a number of changes in rhizosphere
bacterial communities following take-all infection.
The rhizospheres of wheat plants infected with the take-all pathogen
harbor larger populations of several bacterial species than healthy
roots, as indicated by higher culturable counts (Table 1) and increased
total fluorescence signal in the T-RFLP profiles (see Results).
Previous work showed that the sizes of culturable bacterial
populations, especially pseudomonads, were larger in the rhizospheres
of wheat infected with G. graminis var.
tritici (38, 46). In this study, we observed
larger populations of cultured Pseudomonas spp. inhabiting
G. graminis var. tritici-infected roots when plants were grown in growth chambers. While the data for
these cultured populations were confounded by the occurrence of
nonpseudomonads (especially Chryseobacterium spp.) growing on the semiselective media, the total pseudomonad populations were
calculated to be larger on diseased roots, even when samples dominated
by nonpseudomonads were excluded from the analysis (data not shown).
Additional evidence for increased abundance of fluorescent pseudomonads
in the rhizospheres of diseased plants came from the profiles generated
by FT-ARDRA. The fluorescence signals corresponding to TRFs indicative
of Pseudomonas spp. (e.g., M490 and R884) were more intense
in the profiles of diseased plants than in those of healthy plants
(P < 0.05) (Fig. 3 and 4), even though the difference was less dramatic in the comparison of field-grown plants because of a
higher degree of plant-to-plant variation (Fig. 4).
Populations of phlD+
Pseudomonas spp. (i.e., 2,4-DAPG producers) were also
significantly larger in the rhizospheres of diseased plants in
three of four comparisons (Table 1). Interestingly, the one comparison
in which no difference was observed used 1998 soil B, which had
experienced severe take-all in the field (Table 1). In this instance,
it is possible that the populations of phlD+ bacteria built up during the 1998 field season in this soil but not soil A, which saw little or no
take-all. While the indigenous phlD+
pseudomonads had the capacity to inhibit G. graminis var. tritici, they represented only a
small fraction of the total pseudomonad counts in our assays. Others
have reported that indigenous populations of
phlD+ pseudomonads inhabiting plant roots
generally represent less than 10% of the total culturable
Pseudomonas populations (31, 36), and in our
assays they averaged less than 1% of the total (Table 1). While
this is the first report of an increase in indigenous 2,4-DAPG-producing bacteria following take-all infection, a similar observation was made when the abundance of an inoculated
2,4-DAPG-producing strain on healthy and diseased roots was examined
(23). In this study, a single genotype was identified as
the dominant phlD+ strain in the soils
obtained from Mount Vernon, Wash., as determined by RFLP analysis of
the phlD gene (Fig. 2). Interestingly, this genotype was
previously noted for its wide geographic distribution (29)
and its unique ability to efficiently colonize wheat roots (35).
The abundance of two other bacterial populations also increased
significantly in the rhizospheres of take-all-infected plants. The
first population belongs to the genus Chryseobacterium,
represented by both the ARDRA group II isolates (Table 1 and Fig. 1)
and the M204 and R94 ribotypes detected in the T-RFLP profiles of rhizosphere washes (Fig. 3 and 4). The second population contains other
members of the flavobacteria and the sphingobacteria,
represented by the M542 and R310 ribotypes, one of which was isolated
and determined to be a Flavobacterium sp. (ARDRA group VI;
Fig. 1). Taxonomically similar bacteria were isolated from plant roots and composts, but their ability to inhibit the growth of plants and
microorganisms in vitro varied tremendously from isolate to isolate
(11, 15, 16, 43). This is the first report of these two
bacterial populations being associated with take-all infection. The
larger bacterial populations inhabiting the rhizospheres of diseased
plants may be explained by the release of utilizable growth substrates
from infected tissues. However, the partitioning of these substrates
among detrimental (e.g., pathogenic), neutral (e.g., saprophytic), and
beneficial (e.g., mutualistic) microbial populations is not well understood.
We investigated the ability of the most abundant cultured populations
to interact with the take-all pathogen and a 2,4-DAPG-producing Pseudomonas sp. in vitro to determine which bacterial
populations might contribute to the development of take-all suppression
(Table 3). Only a few isolates of the dominant Pseudomonas
spp. (ARDRA group I, M490 and R880) displayed significant in vitro
inhibition (Table 3); however, they were not isolated any more
frequently from the rhizospheres of diseased plants than from those
of healthy plants. In contrast, the
phlD+ pseudomonads (a subgroup of the ARDRA
I strains; Fig. 2) had the greatest capacity of all the tested strains
to inhibit the take-all pathogen (Table 3), and they were generally
more abundant in the rhizospheres of G. graminis
var. tritici-infected wheat roots (Table 1). These
observations are consistent with other studies that indicated a key
role for 2,4-DAPG-producing Pseudomonas spp. in TAD soils
(34, 36). Isolates of the other dominant genera, including
those belonging to Chryseobacterium (ARDRA group II, M204
and R94) and Flavobacterium (ARDRA group VI, M542 and R310),
displayed no ability to inhibit the pathogen in vitro, counterindicating their direct involvement in pathogen suppression.
We also determined the potential for the dominant cultured bacteria to
inhibit a known biocontrol population (i.e., 2,4-DAPG producers) in
vitro. Several of the dominant Pseudomonas isolates reduced
the ability of the indigenous phlD+ strain,
MtV1, to inhibit the pathogen in vitro when coinoculated (Table 3).
This result was not unexpected, because negative interactions between
different strains of fluorescent pseudomonads have been observed in
vitro and in the field when applied as seed treatments (32; L. S. Pierson III, personal communication).
Such negative interactions could be mediated by signal molecules
(6) as well as antibiotic activities (Pierson, personal
communication). These results contrast with those for the other
cultured isolates, especially the Chryseobacterium and
Flavobacterium strains, which showed little or no
capacity to reduce the inhibitory capacity of MtV1 (Table 3).
Therefore, it is possible that shifts in rhizobacterial community
structures that occur following take-all infection result in an
environment more conducive to the biocontrol activity of 2,4-DAPG producers.
Nonetheless, much more work needs to be done to establish the
functional role(s) of different rhizosphere bacterial populations in
the ecology of take-all infection and suppression. We suspect that some
of the observed changes in the rhizospheres of diseased plants will
correspond to secondary colonization by saprophytes that have little
direct impact on either the take-all pathogen or biological control
bacteria. However, it is possible that some proportion of the ribotypes
identified directly or indirectly contributes to the suppression of
G. graminis var. tritici. In the
future, studies aimed at isolating and characterizing multiple representatives of the ribotypes identified in this study will be
useful in determining their role in the ecology of take-all and TAD.
 |
ACKNOWLEDGMENTS |
This research was supported by grants 97-35107-4804 and
01-35107-1011 from the U.S. Department of Agriculture, National
Research Initiative, Competitive Grants Program.
We thank D. Pouchnik, K. Schroeder, D. Mavrodi, G. Philips, L. Morgan,
E. Sachs, and E. Lutton for technical assistance in performing this
study, L. Thomashow for many helpful discussions, and K. Nielsen for
critically reading the manuscript prior to review.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Plant Pathology, The Ohio State University, OARDC, 1680 Madison Ave., Wooster, OH 44691-4096. Phone: (330) 202-3565. Fax: (330) 263-3841. E-mail: bbmg+{at}osu.edu.
 |
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Applied and Environmental Microbiology, October 2001, p. 4414-4425, Vol. 67, No. 10
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.10.4414-4425.2001
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