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Applied and Environmental Microbiology, March 1999, p. 982-988, Vol. 65, No. 3
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Effect of Phenylurea Herbicides on Soil Microbial
Communities Estimated by Analysis of 16S rRNA Gene Fingerprints and
Community-Level Physiological Profiles
Saïd
el Fantroussi,
Laurent
Verschuere,
Willy
Verstraete, and
Eva M.
Top*
Laboratory of Microbial Ecology, University
of Ghent, B-9000 Ghent, Belgium
Received 27 July 1998/Accepted 8 December 1998
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ABSTRACT |
The effect of three phenyl urea herbicides (diuron, linuron, and
chlorotoluron) on soil microbial communities was studied by using
soil samples with a 10-year history of treatment. Denaturing gradient
gel electrophoresis (DGGE) was used for the analysis of 16S rRNA genes
(16S rDNA). The degree of similarity between the 16S rDNA profiles of
the communities was quantified by numerically analysing the DGGE band
patterns. Similarity dendrograms showed that the microbial community
structures of the herbicide-treated and nontreated soils were
significantly different. Moreover, the bacterial diversity seemed to
decrease in soils treated with urea herbicides, and sequence
determination of several DGGE fragments showed that the most affected
species in the soils treated with diuron and linuron belonged to an
uncultivated bacterial group. As well as the 16S rDNA fingerprints, the
substrate utilization patterns of the microbial communities were
compared. Principal-component analysis performed on BIOLOG data showed
that the functional abilities of the soil microbial
communities were altered by the application of the herbicides. In
addition, enrichment cultures of the different soils in medium with the
urea herbicides as the sole carbon and nitrogen source showed that
there was no difference between treated and nontreated soil in the rate
of transformation of diuron and chlorotoluron but that there was a
strong difference in the case of linuron. In the enrichment cultures
with linuron-treated soil, linuron disappeared completely after 1 week
whereas no significant transformation was observed in cultures
inoculated with nontreated soil even after 4 weeks. In conclusion, this
study showed that both the structure and metabolic potential of soil
microbial communities were clearly affected by a long-term application
of urea herbicides.
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INTRODUCTION |
The environmental chemistry, fate,
toxicology, and impact on soil fertility of phenylurea herbicides, used
for selective control of annual weeds in fruit and field crops and
noncrop areas, have already been studied in great detail (4,
5, 12). However, there is a serious lack of information
on the effect of urea herbicides on soil microbial communities. In
general, the effect of herbicides on soil microbial communities has
often been studied by conventional methods based on cultivation of the
microbial communities and on measurements of their metabolic activities
(27, 34). Nowadays it is well known that more than 90% of
the microorganisms existing in nature are refractory to selective
enrichment cultures (33). To overcome the drawbacks of these
culture-dependent methods, interest is currently focused on the use of
molecular biological techniques, given their powerful capacity to allow
the analysis of microorganisms in their natural habitats. In this
context, analysis of the 16S rRNA molecule or its corresponding gene
(16S rDNA) is by far the most widely used approach in the last
decade (3). Of the 16S rDNA-based methods used for
studying complex microbial populations, denaturing gradient gel
electrophoresis (DGGE) has received the most attention and has been
successfully applied to several natural habitats (15, 21, 29,
30). DGGE is based on the electrophoresis of PCR-amplified 16S
rDNA fragments in polyacrylamide gels containing a linearly increasing gradient of denaturants. In DGGE gels, DNA fragments of the same length
but with different base pair sequences can be separated (22).
In this paper, we describe the effect of three phenylurea
herbicides (diuron, linuron, and chlorotoluron) on the soil microbial communities of a soil that has been treated regularly with these herbicides for more than 10 years. A culture-independent approach based
on the PCR amplification of 16S rDNA genes followed by DGGE was used in
combination with the determination of substrate utilization patterns of
the microbial communities by using BIOLOG GN microplates.
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MATERIALS AND METHODS |
Soil.
The soil samples were taken from the Royal Research
Station of Gorsem (Sint-Truiden, Belgium), an orchard that has been
regularly treated with different urea herbicides since 1987. The soil
plots investigated in this study were annually treated with diuron
(3.75 kg/ha), a mixture of diuron (2 kg/ha), linuron (3 kg/ha), and simazin (2 liters/ha), or chlorotoluron (5 kg/ha). The soil treated with the mixture is referred to below as "soil treated with
diuron+linuron" or "linuron-treated soil." Soil from a nontreated
plot at the same orchard was used as a control soil. All herbicides
were applied without carrier compounds. The soil taken from each plot
consists of 75% silt, 13% sand, and 12% clay. It has a cation
exchange capacity CEC of 10.8 meq/100 g, 2.6% organic carbon, and a pH in water of 6.6. In March 1998, 20 soil samples (30 g each) were taken
in different parts of each plot from 0 to 5 cm deep, using a soil
auger. The samples from each plot were then mixed and stored overnight
at 4°C. All data reported in this article were obtained from
experiments done less than 24 h after sampling. The data in Fig.
4B were obtained with duplicate soil samples taken at different
locations in the same plots in August 1998.
Viable counts and BIOLOG assays.
Suspensions of
microorganisms were prepared from soil samples as reported previously
(35). After appropriate dilution in sterile saline solution,
the cell suspensions were used to determine the number of culturable
heterotrophs and to inoculate BIOLOG microplates. The number of
culturable heterotrophs, expressed as CFU, was determined by
spreading 0.1 ml of the cell suspension onto R2A agar medium
(Difco, Detroit, Mich.) amended with cycloheximide (200 µg/ml) to
suppress fungal growth. Three replicates of each soil sample were
spread on agar plates and incubated for 2 days at room temperature. The
log-transformed CFU data were analyzed by one-way analysis of variance,
and the means were compared by the Duncan multiple-range test.
To obtain a substrate utilization fingerprint of the microbial
communities, three replicates of all the soil extracts were inoculated
in BIOLOG GN microtiter plates (BIOLOG Inc., Hayward, Calif.)
containing 95 different sole-carbon sources and a control without a
carbon source. The BIOLOG GN plates were incubated at 28°C, and the
optical density at 590 nm (OD590) in each well, produced
from the reduction of tetrazolium violet, was recorded after several
incubation times with a EL312e biokinetics reader and the KinetiCalc
EIA application software release 2.03 (Bio-tek Instruments Inc.,
Winoosky, Vermont). Before the data were further processed, the
OD590 at time zero was subtracted from the later readings,
yielding the net OD590. The physiological versatility of
the microbial community was evaluated by determining the number of
carbon sources with a net OD590 of >0.4 (30).
To reduce the dimensions of the highly multivariate data set and to
reveal latent associations between C sources and the communities,
principal-component analysis (PCA) was performed on the net
OD590 by using the C sources as variables. In all analyses,
three principal components (PCs) were retained and a varimax rotation
of the PCs with Kaizer normalization was performed to facilitate the
interpretation. Alternatively, relative similarity between the BIOLOG
GN fingerprints of the soil communities was assessed by cluster
analysis (CA) performed on the net OD590 by using the C
sources as variables. The squared Euclidian distance was used as a
dissimilarity index, and the average linkage between groups method was
used to cluster the cases. The result of the CA is shown in a
dendrogram. The statistical processing was performed with SPSS for
Windows release 7.5.2.
Enrichment cultures.
Soil (5 g) was added to 95 ml of a
mineral solution containing (milligrams per liter)
MgSO4 · 6H2O, 98.50;
CaCl2 · 2H2O, 5.88; ZnSO4 · 7H2O, 1.15;
H3BO3, 1.16;
MnSO4 · H2O, 1.69;
CoCl2 · 6H2O, 0.24; MoO3, 0.10;
FeSO4 · 7H2O, 2.78; and
CuSO4 · 5H2O, 0.37. The pH was adjusted to
around 7.0 with a phosphate buffer (KH2PO4, 10 mM; Na2HPO4, 10 mM). The urea herbicides,
diluted in water and sterilized by filtration (0.25-µm-pore-size
filters), were added as the sole source of carbon and nitrogen. The
concentrations of the herbicides used were 15 mg/liter for diuron and
25 mg/liter for linuron and chlorotoluron. For each herbicide, the
flasks were inoculated with the soil treated with the corresponding
herbicide or with the nontreated soil. The disappearance of the
herbicides was monitored over time by high-performance liquid
chromatography analyses. The high-performance liquid chromatography
system consisted of a Kontron liquid chromatograph with a DEGASYS
DG-1310 system to degas the mobile phase, 3 Kontron 325 high-pressure
pumps, a Kontron MSI 660 injector with a 20-µl loop, a Kontron DAD
495 (diode array detector), and a 450 MT2/DAD software system. A
C18 reversed-phase column (Alltech, Deerfield, Ill.) was
used. The mobile phase consisted of CH3OH,
NH4H2PO4 (0.1 M, pH 3.8), and H2O (70:25:5); the flow rate was 0.75 ml/min; and the UV
detector was set to 210 nm. Products were identified by comparison with authentic standards. After 10 days of incubation, DNA was extracted from 2 ml of each enrichment and DGGE analyses were carried out (see
below). All enrichment culture experiments were done in triplicate.
DNA extraction and purification.
Total DNA was isolated from
soil samples by a method reported previously (6). This
method was modified as follows. Soil (2 g) was added to a 14-ml
polypropylene round-bottom tube (Falcon). To this, 3 g of beads
(diameter, 0.10 to 0.11 mm) plus 6 ml of 10 mM Tris-HCl (pH 9) were
added. The mixture was beaten three times for 90 s each with a
bead beater (B. Braun Biotech International, Melsungen, Germany). After
this, lysozyme was added at a final concentration of 5 mg/ml, and the
samples were incubated for 15 min at 28°C with horizontal shaking. To
achieve complete lysis, 1% sodium dodecyl sulfate was added and the
samples were slowly mixed for 5 to 10 min. The supernatant was
collected after centrifugation at 6,000 × g for 15 min
at room temperature. Phenol extraction followed by chloroform-isoamyl
alcohol purification was applied. The aqueous phase was transferred to
a new tube containing isopropanol to 0.7 of its volume. Precipitation
was performed for 1 h at room temperature. Alternatively, 2.5 volumes of ethanol (90%) was added for an overnight precipitation. The
pellet (crude extract) was obtained by centrifugation at
12,000 × g for 30 min and resuspended in 250 µl of
dionized water. A 100-µl aliquot of the crude extract was further
purified with Wizard PCR preps (Promega, Madison, Wis.), and the
purified DNA was finally recovered in 50 µl of deionized water.
PCR conditions.
A 2-µl volume of the extracted DNA was
amplified by PCR with a 9600 thermal cycler (Perkin-Elmer, Norwalk,
Conn.). The PCR mixture used contained 0.5 µM each primer, 100 µM
each deoxynucleoside triphosphate, 10 µl of 10× Expand high-fidelity
PCR buffer, 2 U of Expand high-fidelity DNA polymerase (Boehringer,
Mannheim, Germany), 400 ng of bovine serum albumin (Boehringer) per
µl, and sterile water to a final volume of 100 µl. The 16S rRNA
genes from soil microbial communities were amplified by PCR with two different sets of primers. The first set consisted of primers P63f
(5'CAGGCCTAACACATGCAAGTC3', forward) and P518r,
(5'ATTACCGCGGCTGCTGG3', reverse). The specificity and
efficacy of P63f were tested systematically with a variety of bacterial
species and environmental samples, and it was found to be more useful
for 16S rRNA gene amplification in ecological and systematic studies
than are PCR amplimers that are currently more generally used
(19). P518r was based on a universally conserved region
(23). The length of the expected amplified fragment was 495 bp (the large fragment). The second set consisted of primer P338f
(5'ACTCCTACGGGAGGCAGCAG3', forward), which complements a
region conserved among members of the domain Bacteria, and
the reverse primer P518r described above (23). This set
amplified a fragment of 210 bp (the small fragment). A GC clamp of 40 bases (23) was added to each forward primer. Samples were
amplified as follows: 94°C for 5 min, followed by 30 cycles of 92°C
for 1 min, 55°C for 1 min, and 72°C for 1 min, with a final
extension at 72°C for 10 min.
DGGE.
DGGE based on the method cited by Muyzer et al.
(22) was performed with the D Gene System (Bio-Rad,
Hercules, Calif.). PCR samples were loaded onto 6% (wt/vol)
polyacrylamide gels in 1× TAE (20 mM Tris, 10 mM acetate, 0.5 mM EDTA
[pH 7.4]) for the primer set P63f plus P518r or 8% polyacrylamide
gels for the set P338f plus P518r. The polyacrylamide gels were made
with a denaturing gradient ranging from 40 to 60% (where 100%
denaturant contains 7 M urea and 40% formamide). The electrophoresis
was run overnight at 60°C at 75 V for the primer set P63f plus P518r
or at 35 V for the set P338f plus P518r. After the electrophoresis, the
gels were soaked for 30 min in SYBR GreenI nucleic acid gel stain
(1:10,000 dilution; FMC BioProducts, Rockland, Maine). The stained gel
was immediately photographed on an UV transillumination table with a
video camera module (Vilbert Lourmat, Marne la Vallée, France).
Statistical comparison of different DGGE patterns, run on the same gel,
was done with GelCompar software 4.1 (Applied Maths,
Kortrijk,
Belgium). The similarity among the band patterns was
calculated by
using two similarity coefficients: (i) the coefficient
of Jaccard
(
Sj), using band positions (for each pattern,
Sj divides
the number of corresponding bands by
the total number of bands
in both patterns); and (ii) the
area-sensitive coefficient (
SD),
which is very
similar to the coefficient of Jaccard but is modified
to give more
weight to matching
bands.
Sequencing of DGGE fragments.
DNA fragments to be sequenced
were excised from the gel, placed into sterile Eppendorf tubes
containing 25 µl of sterilized water, and incubated overnight at
4°C. A 4-µl volume of the DNA diffused in water served as a
template for PCR amplification. The amplified products were subjected
to a new DGGE step to confirm their electrophoretic mobility. The PCR
products were purified with a QIAquick PCR purification kit (QIAGEN
GmbH, Hilden, Germany) before being sent for sequencing by Eurogentec
(Liège, Belgium). The sequences were aligned to 16S rRNA
sequences obtained from the National Centre for Biotechnology
Information database by using the BLAST 2.0 search program
(2).
Nucleotide sequence accession numbers.
The nucleotide
sequences for fragments C4, C3, and L3 have been deposited in the
GenBank database under accession no. AF103810, AF103811, and AF103812, respectively.
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RESULTS |
Analysis of soil microbial communities by using total counts and
BIOLOG GN microplates.
The effect of urea herbicides on soil
microbial communities was first estimated by culture-dependent
approaches. The numbers of total heterotrophic CFU in all three
herbicide-treated soils were significantly smaller (P < 0.05) than those in the nontreated soil, but the differences were
small (<1 log unit) (Fig. 1). The results of the PCA performed on the BIOLOG GN fingerprints of the
different soil microbial communities, obtained after 53 h of
incubation, are shown in Fig. 2A. It is
clear that the functional abilities of the soil microbial communities
were altered by the application of the herbicides. The explained
variance amounted to 28.2% for PC 1, 17.4% for PC 2, and 10.8% for
PC 3. The control soil and the soil treated with chlorotoluron were
separated along PC 1 from the soils treated with diuron and
diuron+linuron. Further separation of the BIOLOG fingerprints of the
four soils occurred along PC 2 and PC 3. CA revealed a clear
dissimilarity between the control soil and the soils treated with the
herbicides (Fig. 2B). Furthermore, the soils treated with chlorotoluron
were clearly distinguished from the other two treated soils whereas a
clear distinction could not be made by CA between the soils treated with diuron or with diuron+linuron.

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FIG. 1.
Viable heterotrophic bacterial counts from
different soil samples treated or not treated with urea
herbicides. Error bars represent standard deviations. Values with a
different letter are significantly different from each other
(P < 0.05).
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FIG. 2.
PCA (A) and CA (B) performed on the BIOLOG GN
fingerprints of the extracts of the soils treated with diuron
( ), chlorotoluron ( ), diuron+linuron ( ), and the
control soil ( ).
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Analysis of soil microbial communities by DGGE.
In parallel
with the culture-dependent approaches, DGGE analysis of 16S rDNA
fragments was used to investigate the effect of the urea herbicides on
the soil microbial communities. This was done after PCR amplification
of the 16S rDNA genes from total soil DNA with the two sets of primers,
described above. Figure 3 shows a DGGE
analysis of the small 16S rDNA fragment (primers P338f and P518r)
amplified from the three herbicide-treated soils and the one nontreated
soil. Numerical analysis of the DGGE patterns with two similarity
coefficients showed that the microbial communities of the treated and
nontreated soils were different (Fig. 3). The DGGE patterns of the
large 16S rDNA fragment (primers P63f and P518r) amplified from the
same four soil samples are shown in Fig.
4A. There are fewer bands in these DGGE
profiles than in the DGGE patterns of the small fragment. However, the
discrimination between different soil samples was much clearer with
this primer set. The preponderant bands seen on the gels can be
considered the most abundant bacterial species in each soil sample. The
fragment named C4 can, based on its intensity, be considered to
represent the most dominant species in the nontreated and in the
chlorotoluron-treated soil. Its sequence matched closely (96%) that of
an uncultivated-soil bacterium named clone S111 (16). Since
the corresponding 16S rDNA fragment was completely absent in the DGGE
patterns of the soils treated with diuron and diuron+linuron, these
treatments appear to cause the demise of this microbial species (Fig.
4A). To confirm the reproducibility of such meaningful information concerning the effect of herbicides on this abundant microbial species,
duplicate soil samples were taken 5 months later (August 1998) from
different locations within the same plots. As illustrated in Fig. 4B,
the bacterial species corresponding to fragment C4 was again not
observed among the predominant populations in the soils treated with
diuron and with diuron+linuron.

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FIG. 3.
DGGE analysis of 16S rDNA fragments of different soil
samples treated or not treated with urea herbicides. The 16S rDNA genes
were amplified with the primer set P338f plus P518r. For the
dendrograms of community relatedness, the percent similarity was
calculated on the basis of two band-based coefficients, the Jaccard and
area-sensitive coefficients.
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FIG. 4.
(A) DGGE analysis of 16S rDNA fragments of pooled soil
samples collected in March 1998, treated or not treated with urea
herbicides. Lanes: 1, nontreated soil; 2, diuron; 3, diuron+linuron; 4, chlorotoluron. (B) DGGE analysis of individual soil samples collected
in August 1998 from two different locations per herbicide-treated plot.
Lanes: 1 and 2, nontreated; 3 and 4, diuron; 5 and 6, diuron+linuron; 7 and 8, chlorotoluron. The 16S rDNA genes were amplified with the primer
set P63f plus P518r. Gels A and B were not run under exactly the same
conditions, which explains the difference in distances between bands.
C4 indicates the fragment that was excised and sequenced.
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Biodegradation of urea herbicides by enrichment cultures.
Enrichment studies with soil inocula taken from treated and nontreated
soils were carried out to investigate whether there was a difference in
the rate of biotransformation of the urea herbicides between soils with
and without a history of herbicide treatment. In each case, the
enrichment medium was inoculated with treated or nontreated soil in the
presence of the corresponding herbicide, added as the sole source
of carbon and nitrogen. Moreover, DGGE analyses were performed after 10 days of incubation to compare the 16S rDNA fingerprints of the enriched
bacterial communities. Figure 5a through
c depict the time curves corresponding to the transformation of diuron,
chlorotoluron, and linuron, respectively. When the treated and
nontreated soils were compared, there was no difference in the rate of
transformation of diuron (Fig. 5a), a weak difference in the rate of
transformation of chlorotoluron (Fig. 5b), and a strong difference in
transformation of linuron (Fig. 5c). Indeed, whereas a total
transformation of linuron was observed after 1 week of incubation in
flasks inoculated with treated soil, no significant disappearance of
linuron was observed in flasks inoculated with nontreated soil even
after 4 weeks of incubation (Fig. 5c).

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FIG. 5.
(a to c) Transformation of urea herbicides in enrichment
cultures. For each herbicide, nontreated soil ( ) and soil with a
10-year history of treatment ( ) were used as the inoculum. (d to f)
For each herbicide enrichment, the DGGE patterns from duplicate
cultures were obtained after 10 days of incubation: T, enrichments
inoculated with treated soil; NT, enrichments inoculated with
nontreated soil. The 16S rDNA genes were amplified with primer set P63f
and P518r. The arrow in panel f indicates a strong difference in the
profile between treated and nontreated soil. a and d, diuron; b and e,
chlorotoluron; c and f, linuron.
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DGGE analyses of the enrichment cultures after 10 days were performed
with primer set P63r and P518r (large fragment). Figure
5d through f
show the DGGE patterns of duplicate enrichment cultures
with diuron,
chlorotoluron, and linuron, respectively, as the
C and N source. The
DGGE patterns of the enrichment cultures with
diuron as the sole C and
N source were closely related regardless
of whether treated or
nontreated soil was used as an inoculum
(Fig.
5d). In the chlorotoluron
enrichments, a few differences
can be seen between the enrichments of
treated and nontreated
soil (Fig.
5e). However, for the linuron
enrichments, there was
a strong difference in the DGGE profiles between
flasks inoculated
with treated and nontreated soil (Fig.
5f). The
results obtained
with all herbicides showed that the degree of
difference in herbicide
transformation between the treated and
nontreated soil was correlated
with the degree of difference in their
16S rDNA fingerprints.
The enrichment experiment was repeated with soil
samples taken
from the same plots 5 months later (August 1998), and
showed very
similar herbicide degradation results and DGGE patterns to
those
presented in Fig.
5 (data not
shown).
The striking results observed with linuron enrichments led us to
compare the evolution of the microbial fingerprint before
and after
enrichments. Figure
6 shows the DGGE
patterns of the
soils treated or not treated with linuron and of their
respective
enrichment cultures after 10 days in the medium containing
25
mg of linuron per liter as the sole source of carbon and nitrogen.
This experiment confirmed the fingerprints of the microbial communities
of the linuron-treated and nontreated soil, as shown in Fig.
4A
(lanes
3 and 1). Moreover, the same clear shifts in the communities
during
enrichment, which were different for the two different
soils as shown
in the previous experiment (Fig.
5f), were again
demonstrated here.
Fragment C4, found only in the nontreated soil,
was maintained as a
preponderant band in the corresponding linuron
enrichment culture even
after 10 days. This bacterial species
was, however, completely absent
in linuron enrichments inoculated
with linuron-treated soil. Other
fragments have also been sequenced;
fragments C1 and C2 obtained from
the nontreated soil showed high
sequence similarity (98%) to
Pseudomonas putida and
Pseudomonas chlororaphis, respectively. These two fragments had appeared after
enrichment in the linuron-treated soil (Fig.
6). Fragment C3,
detected
in the nontreated soil as well as in the soil treated
with
diuron+linuron, matched closely (96%) with an unidentified
member
of the

subclass of the
Proteobacteria (
19).
In addition,
fragments L1, L2, and L3 (Fig.
6), which seemed to be
specific
to the enrichments inoculated with the linuron-treated soil,
were
excised and sequenced. Fragments L1 and L2 showed high similarity
(97%) to
Pseudomonas mandelii and
Pseudomonas
jessenii, respectively.
Fragment L3 matched closely (95% of
similarity) with
Variovorax sp.

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FIG. 6.
Comparison of DGGE fingerprints between linuron treated
and nontreated soil. Lanes: 1, nontreated soil before enrichment; 2 and
3, microbial communities enriched from nontreated and linuron-treated
soil, respectively; 4, linuron-treated soil before enrichment. The
enrichments were carried out in minimal medium containing 25 mg of
linuron per liter. The 16S rDNA genes were amplified with primer set
P63f plus P518r.
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DISCUSSION |
In this study we opted for the combination of culture-dependent
methods (CFU, BIOLOG, and enrichments) and a culture-independent technique, DGGE, to gain a better understanding of the impact of urea
herbicides on soil microbial communities. To achieve this goal, natural
soil samples with a history of herbicide treatment (more than 10 years)
were used. In the DGGE experiments, two sets of primers were used for
the analysis of bacterial communities. Primer set P338f and P518r,
first designed by Øvreas et al. (23), amplified a 210-bp
fragment. This set seems to be very useful for surveys of bacterial
diversity. Indeed, we have shown, by converting the DGGE banding
patterns to a binary format for statistical comparisons, that the
microbial communities in soils treated with different herbicides
clustered differently. The numerical analysis of DGGE patterns with the
primer set P338r and P518r provides an analytical tool to study the
diversity of microbial communities of herbicide-treated soils. However,
sequence information from such small rDNA fragments cannot readily be
used to compare populations between environments, given that it is
often not easy to place such short partial sequences accurately in
phylogenetic trees, especially if the sequences lack close relatives in
the database (17). Furthermore, it has been shown that the
PCR amplification of 16S rDNA fragments can be biased by several
parameters (24, 28). Most recently, it has been shown
by Hansen et al. (11) that PCR amplification of 16S rDNA was
highly biased, so that the rDNA from one species in four was
preferentially amplified. To overcome such bias, those authors
suggested the use of at least two different sets of primers
(11). Because of these different reasons, it is highly
recommended that at least two different primer sets be used to study
the diversity of microbial communities by DGGE. We therefore used a
second set of primers (P63r and P518r), and the corresponding DGGE
profiles again showed that the genomic fingerprints of the bacterial
communities of the treated and nontreated soils were different. Only
this set of primers, which generated a larger, 495-bp fragment, was
used to determine the sequence of the resulting DGGE bands. Of the
sequenced fragments, C4 was the most intriguing. This most preponderant
species in nontreated soil disappeared completely in soils treated with
diuron or diuron+linuron and did not reappear after 10 days of
incubation in enrichment media. The BLAST program identified a number
of similar 16S rDNA fragments (percent similarity ranging from 90 to
96%), all of which have been identified as uncultivated soil bacteria.
Two bacterial clones, clone S111 (16) and clone RB43
(18), showed the highest percent similarity to fragment C4,
i.e., 96 and 94%, respectively. Both clones have been isolated from
soil, and they both seem to belong to a new, widely distributed
bacterial division named Acidobacterium (14), in
spite of the large differences in characteristics and geographic
locations of the different soils (17, 18). This new
bacterial division has emerged as a result of the impact of
culture-independent studies on the bacterial phylogeny (14).
In this study, we report for the first time the effect of urea
herbicides on such widely distributed nonculturable bacterial species.
It is unclear whether these effects are caused by the herbicide
molecules directly or indirectly by virtue of their impact on the
ground cover. The disappearance of this dominant species was not due to
local variability in the soils. First, the DGGE analyses of the soil
samples collected in March 1998 were performed on pooled samples and
thus represent average patterns per plot. Moreover, the DGGE patterns
obtained from duplicate nonpooled soil samples collected 5 months later
revealed that the same intense C4 band was present in the patterns of
the control and chlorotoluron-treated soil but absent in the diuron-
and linuron+diuron-treated soils (Fig. 4).
Another striking result revealed by sequencing DGGE fragments concerned
fragment L3 (95% similarity to Variovorax sp.), detected in
enrichments inoculated with linuron-treated soil (Fig. 6). Given that
this bacterial species was found only in enrichments where linuron was
degraded, one can assume that it was involved in the transformation of
linuron. This hypothesis is supported by several previous studies,
which have shown that bacterial strains of the genus
Variovorax are involved in the transformation of aromatic
compounds such as the herbicide 2,4-dichlorophenoxyacetic acid
(16) and homovanillate (1). The role in the
degradation of linuron by this strain and the other strains that
appeared (L1 and L2 in Fig. 6), closely related to P. mandelii and P. jessenii, will be investigated further.
The results obtained by DGGE were in accordance with those obtained by
BIOLOG after 53 h of incubation. Indeed, both methods showed that
the fingerprints of the microbial communities of the nontreated and
herbicide-treated soils differed from each other. However, at later
incubation times, the differences among the BIOLOG GN fingerprints
tended to disappear. As an example, the physiological versatility of
the microbial communities in the different soils was compared at 53 and
165 h of incubation. The important differences in physiological
versatility between the different soils, observed after 53 h of
incubation of the BIOLOG GN plates, had disappeared after 165 h
(data not shown). These results are in accordance with the DGGE
profiles obtained with enrichment cultures inoculated with treated or
nontreated soils (Fig. 5). Although the DGGE patterns of the different
soils before enrichment differed substantially, the DGGE patterns of
the corresponding enrichment cultures were quite similar after 10 days,
except for those inoculated with the linuron-treated soil.
The shifts in microbial communities after cultivation, detected by both
DGGE and BIOLOG assays, can be explained by the fact that organisms
which grow rapidly in the presence of high concentrations (like
pseudomonads) respond well in BIOLOG assays (10) and
enrichment cultures. A typical example observed in this study concerned
the two Pseudomonas species (bands C1 and C2) detected in
the nontreated soil but not in treated soil before enrichment culture.
After 10 days of enrichment, these two species appeared with almost the
same signal intensity in DGGE patterns of all linuron enrichments (Fig.
6). In this context, it is interesting that previous reports have
concluded that the meaning of differences in community-level physiological profiles remains unclear, even if the fraction of the
community that responds in the assay was accurately defined (10). Recently, the analysis of the microbial communities of the BIOLOG GN microplates by DGGE or temperature gradient gel electrophoresis showed that carbon source utilization profiles obtained
with BIOLOG GN plates do not necessarily reflect the functional
potential of the numerically dominant members of the microbial
community used as the inoculum. Indeed, changes in the structure of the
microbial community had occurred during the BIOLOG assay
(26).
The study of biodegradation of the herbicides in enrichment cultures
showed that there was no significant difference between treated and
nontreated soil for the transformation of diuron and chlorotoluron. On
the other hand, a striking difference was observed with linuron, since
this herbicide persisted for more than 4 weeks in enrichment cultures
inoculated with nontreated soil. This different behavior of the three
herbicides in the enrichment cultures could be explained by the fact
that different enzymes are involved in the biotransformation of urea
herbicides. One can speculate that there are two different aryl acyl
amidases. The first, specific for the transformation of linuron
(N'-methoxy) (Fig. 5c), leads to the production of
N,O-dimethylhydroxylamine, a compound identified by
thin-layer chromatography during transformation of linuron by cell
extracts of Bacillus sphaericus ATCC 12123 (7).
The second aryl acylamidase leads to the formation of a dimethylamine from diuron and chlorotoluron (1,1-dimethyl) (Fig. 5a and b). This
hypothesis is in accordance with the results obtained previously with
B. sphaericus, which was able to degrade linuron and
monolinuron but not diuron and several other nonmethoxy herbicides
(32). The hypothesis that different enzymes are involved in
the transformation of diuron and linuron is supported by the results
obtained by Roberts et al. (25), who enriched a stable mixed
bacterial culture capable of degrading the herbicide linuron. This
culture was also able to degrade related herbicides such as monolinuron
but was unable to degrade 1,1-dimethyl-substituted ureas, such as
monuron, and diuron. However, it must be noted that other
transformation pathways, involving the demethylation of the urea group
as a first enzymatic reaction, cannot be excluded, given that the
transformation of diuron can lead to the formation of
N'-(3,4-dichlorophenyl)-N-methylurea and
3,4-dichlorophenylurea in ground water and surface water
(9).
In conclusion, our data have shown that an effect of urea herbicides on
the soil microbial community could be observed by using both PCA plus
cluster analysis of BIOLOG fingerprints and cluster analysis of DGGE
profiles. More specifically, it seemed that certain species were either
eliminated or stimulated by the application of the herbicides,
especially linuron. Moreover, sequencing of DGGE bands allowed us to
observe specific, possibly important changes in the species composition
of the dominant soil microbial populations, caused by human impact,
which would not be observed by culture-dependent techniques.
 |
ACKNOWLEDGMENTS |
This work was supported by grant G.O.A. 1997-2002 of the
"Ministerie van de Vlaamse Gemeenschap, Bestuur Wetenschappelijk Onderzoek" (Belgium) and by an F.W.O. project grant (1998-2001). E. M. Top is also indebted to the Fund for Scientific Research of
Flanders (F.W.O-Vlaanderen) for a position as Research Associate (Onderzoeksleider), and for an equipment grant "Krediet aan
Navorsers, 1995."
We thank K. Smalla for sharing practical tips concerning the DGGE
analysis, S. Maertens for technical assistance, T. Tanghe for his
advice and help with the HPLC analyses, and T. Deckers, Royal Research
Station of Gorsem (Sint Truiden, Belgium), for allowing and helping us
to collect the soil samples.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Laboratory of
Microbial Ecology, University of Ghent, Coupure Links 653, B-9000
Ghent, Belgium. Phone: 32/9/264 59 12. Fax: 32/9/264 62 48. E-mail:
Eva.Top{at}rug.ac.be.
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