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Journal of Clinical Microbiology, January 2001, p. 139-145, Vol. 39, No. 1
0095-1137/01/$04.00+0 DOI: 10.1128/JCM.39.1.139-145.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Comparison of Antifungal Activities and 16S
Ribosomal DNA Sequences of Clinical and Environmental Isolates of
Stenotrophomonas maltophilia
Arite
Minkwitz and
Gabriele
Berg*
Department of Biosciences, Microbiology,
University of Rostock, D-18055 Rostock, Germany
Received 20 July 2000/Returned for modification 23 August
2000/Accepted 10 October 2000
 |
ABSTRACT |
In recent years, the gram-negative bacterium Stenotrophomonas
maltophilia has become increasingly important in biotechnology and as a nosocomial pathogen, giving rise to a need for new information about its taxonomy and epidemiology. To determine intraspecies diversity and whether strains can be distinguished based on the sources
of their isolation, 50 S. maltophilia isolates from
clinical and environmental sources, including strains of
biotechnological interest, were investigated. The isolates were
characterized by in vitro antagonism against pathogenic fungi and the
production of antifungal metabolites and enzymes. Phenotypically the
strains showed variability that did not correlate significantly with
their sources of isolation. Clinical strains displayed remarkable
activity against the human pathogenic fungus Candida
albicans. Antifungal activity against plant pathogens was more
common and generally more severe from the environmental isolates,
although not exclusive to them. All isolates, clinical and
environmental, produced a range of antifungal metabolites including
antibiotics, siderophores, and the enzymes proteases and chitinases.
From 16S ribosomal DNA sequencing analysis, the isolates could be
separated into three clusters, two of which consisted of isolates
originating from the environment, especially rhizosphere isolates, and
one of which consisted of clinical and aquatic strains. In contrast to
the results of other recent investigations, these strains could be grouped based on their sources of isolation, with the exception of
three rhizosphere isolates. Because there was evidence of nucleotide signature positions within the sequences that are suitable for distinguishing among the clusters, the clusters could be defined as
different genomovars of S. maltophilia. Key sequences on
the 16S ribosomal DNA could be used to develop a diagnostic method that
differentiates these genomovars.
 |
INTRODUCTION |
Stenotrophomonas
maltophilia (29), previously referred to as
Pseudomonas maltophilia (18) and
Xanthomonas maltophilia (35), is ubiquitous in
a wide variety of environments and geographical regions, and it
occupies various ecological niches (11). This bacterium is
often associated with plants and has been isolated from numerous
diverse rhizospheres (4, 6, 22). Investigations have
indicated a potential role for this species in biotechnology, e.g., as
a biological control agent of fungal plant pathogens in agriculture
(5, 20, 25) and in bioremediation (8). In the
last decade, S. maltophilia has also become important as a
nosocomial multidrug-resistant pathogen associated with significant case/fatality ratios in certain patient populations, particularly those
who are severely debilitated or immunosuppressed (for a review, see
reference 12). S. maltophilia is now the second most frequently isolated nosocomial bacterium after Pseudomonas aeruginosa (39).
Several physiological and molecular studies have revealed considerable
heterogeneity among strains tentatively classified as S. maltophilia. Palleroni and Bradbury (29) highlighted
the high intraspecies diversity in the type description of S. maltophilia; the physiological parameters also displayed a wide
range of heterogeneity (35, 38) which was later confirmed
by genotypic studies (9, 17). Nesme et al.
(27) assumed that S. maltophilia species form a
less coherent taxon as indicated by evidence of different restriction
endonuclease sites within the 16S rRNA genes. Epidemiological studies
have suggested that the majority of patients with S. maltophilia infections had unique types of S. maltophilia, indicating that most infections were independently
acquired (12). Today, it is still unclear how S. maltophilia finds its way into the clinical environment, and it is
also not possible to distinguish the sources of the strains (7,
12, 17).
Although there have been many reports in recent years on the antifungal
activity of and production of antifungal compounds by environmental
Stenotrophomonas isolates (6, 19, 25), there
has been no report on the antifungal properties of clinical isolates.
Therefore, the question remains whether strains present in hospitals
possess antifungal properties similar to those of environmental isolates.
Berg et al. (7) investigated S. maltophilia
strains of clinical and environmental origin by phenotypic profiling
and by molecular methods. All strains were identified as S. maltophilia but with considerable variability in their properties.
The question then arose as to how closely related the strains were.
We investigated 50 isolates of S. maltophilia with different
clinical and environmental origins, including some strains of biotechnological interest and type strain DSMZ 50170 (18).
Various phenotypic methods included analyses of in vitro activity
against human and plant pathogenic fungi and the production of
antifungal metabolites and enzymes. Genotypic methods included a
comparison of 50 complete 16S rRNA gene sequences. With these methods,
we developed a system that characterizes variability among S. maltophilia species as well as distinguishing between clinical and
environmental (aquatic and plant-associated) isolates.
 |
MATERIALS AND METHODS |
Strains.
A total of 50 isolates was investigated. Most of
these isolates (c1 through 20 and e1 through e20) had already been
characterized pheno- and genotypically (7). Strains c1
through c20 were isolated in the Rigshospitalet, Copenhagen, Denmark,
from various patient sites (tracheal aspirates, sputa, blood, throat,
wounds, skin, ulcers, drainage fluids and aspirates, catheters, urine,
etc. [14]). Strains c21 through c25, originally isolated
from humans, were obtained from a reference laboratory in Leipzig,
Germany. The environmental aquatic (e-a) strains originated from a
brackish lagoon (Zingster Strom) in the southern Baltic region (e-a1
and e-a2), from a sewage treatment plant in Brunswick, Germany (e-a21 and e-a22), and from eye care solution (e-a23 and e-a24) (L. Bader, K. G. Riedel, G. Maydl, E. Ritter, C. Wirsing von König, A. Meroe, J. Billing, G. Hensel, and J. Heesemann. 1999. Augeninfekt.
Herstell. kontam. intraokul. Spüllösung. abstr. 6P6, p.
241, 1999. Deutsche Gesellschaft für Hygiene und
Microbiologie-Tagung, Regensburg, Germany.). The other environmental
strains are plant associated (e-p) and were isolated from the
rhizosphere of oilseed rape (e-p3 through e-p13), the rhizosphere of
the potato (e-p14 through e-p16 and e-p20), and the geocaulosphere of
the potato (e-p17 through e-p19) (7, 22). Strain e-p3 was
used as a biocontrol agent against phytopathogenic fungi
(6), and e-p8 has shown antifungal properties (6,
19). S. maltophilia DSMZ 50170 (ATCC 13637, type
strain isolated from pleural fluid of a patient with oral carcinoma
[18]) was used as a reference strain for comparison. All
isolates were identified using the API system (BioMérieux, Mercy
Etoile, France) and the BIOLOG identification system (Biolog Inc.,
Hayward, Calif.) (7).
Bioassay for antifungal activity in vitro.
Antifungal
activity was determined by a dual-culture in vitro assay on Waksman
agar (WA) containing 5 g of proteose-peptone (Merck, Darmstadt,
Germany), 10 g of glucose (Merck), 3 g of meat extract
(Chemex, München, Germany), 5 g of NaCl (Merck), 20 g of agar (Difco, Detroit, Mich.), and distilled water (to 1 liter) (pH
6.8). Zones of inhibition were measured after 5 days of incubation at
20°C by the method of Berg (4). All strains were tested in three independent replicates. Fungi used in this bioassay included Rhizoctonia solani, Verticillium dahliae,
Sclerotinia sclerotiorum, and Candida
albicans. The fungal strain R. solani DSMZ 63010 was obtained from the Deutsche Sammlung für Mikroorganismen
and Zellkulturen GmbH, Braunschweig, Germany. The other pathogenic
fungi were obtained from the strain collection of the Department of
Microbiology, University of Rostock. These fungi were routinely grown
on Sabouraud medium (Gibco, Paisley, United Kingdom) and stored in
broth containing 15% glycerol at
70°C.
Production of antifungal secondary metabolites.
Antibiosis
against V. dahliae by the bacterial strains was assayed on
WA plates (15 ml) containing 5 ml of sterile culture filtrate (64-h
culture, nutrient broth II [Sifin]). The pH was adjusted to between 7 and 8. A 5-mm plug from a V. dahliae agar plate was placed
in the center of a WA plate. As a control, WA plates (20 ml) were
similarly inoculated with mycelial plugs. Colony diameters were
measured daily for 10 days, and the reduction in linear growth of the
fungi was calculated. Siderophore production was assayed by the method
of Schwyn and Neilands (33).
Production of lytic enzymes.
Colonies were screened by
plating on chitin-agar plates containing 1.62 g of nutrient broth
(Sifin), 0.5 g of NaCl, 6 g of M9 salts, 2 g of
colloidal chitin, 0.1 mM CaCl2, 1 mM MgSO4, 3 nM Thiamin-HCl (all from Sigma, Deisenhofen, Germany), 15 g of Bacto Agar (Difco), and distilled water (to 1 liter). Clearance halos
indicating chitin degradation or protease activity (nutrient agar
[Sifin] containing 2% gelatine) were measured after 5 days of
incubation at 30°C.
-1,3-Glucanase activity was determined by
measuring the production of reducing sugars from laminarin (Fluka,
Buchs, Switzerland) by the method of Daugrois et al. (10).
DNA preparation and amplification.
Bacterial DNA was
prepared following the protocol of Andersen and McKay (3),
modified for genomic DNA. 16S ribosomal DNA (rDNA) was amplified by PCR
using the procaryote-specific forward primer 16F27 and reverse primer
16R1525 (numbering in Escherichia coli 16S rDNA sequence
[21]) synthesized by MWG-Biotech, Ebersberg, Germany. A
fifty-microliter reaction mixture contained at least 100 ng of genomic
DNA (in 10 mM Tris-HCl [pH 8]), 0.2 µM each primer, and PCR
SuperMix High Fidelity (Gibco, Eggenstein, Germany). PCR reactions were
performed in a peltier thermal cycler PTC-200 (BIOzym, Oldendorf,
Germany) using the following conditions: initial denaturation for 5 min
at 95°C; 10 cycles of denaturation (30 s at 95°C), annealing (30 s
at 52°C), and extension (1.5 min at 70°C); 20 cycles of the same
program to prolong the extension by 10 s per cycle; and a final
extension of 5 min at 70°C. The PCR products were separated on a
0.8% agarose gel in TAE (40 mM Tris-acetate, 1 mM EDTA). The amplified
bands of 16S rDNA were eluted from the agarose and purified by GFX PCR
DNA and the Gel Band purification kit (Amersham Pharmacia Biotech,
Piscataway, N.J.) following the manufacturer's instructions. The
elution efficiency was estimated by electrophoresis.
DNA cloning.
16S rDNA fragments were cloned into the pGEM-T
vector (Promega, Madison, Wis.), a linear plasmid with T overhangs at
both ends. The 10-µl ligation mixture contained 50 ng of vector, at least 100 ng of PCR product, 3 U of T4 DNA ligase per µl, and 5 µl
of 2× buffer (Rapid Ligation kit; Promega). The mixture was incubated
for 2 h at room temperature and overnight at 4°C. Preparation of
competent E. coli cells and transformation were carried out using Hanahan's protocol (16) with slight modifications.
The complete ligation mixture was transformed into 200 µl of
competent cells by heat shock for 1.5 min at 42°C. Luria-Bertani
broth (LB) medium (800 µl; Difco) was added, and the suspension was
shaken at 37°C for 1 h. The efficiency of transformation was
tested by blue-white screening on ampicillin agar plates (100 µg of
ampicillin per ml, 1.2 mg of
isopropyl-
-D-thiogalactopyranosid, and 1.0 mg of
5-bromo-4-chloro-3-indolyl-
-D-galactopyranoside in
N,N-dimethylformamid per plate). Positive colonies were picked and
boiled for 5 min and then used for PCR as described previously.
Plasmid-specific primers USP 5'- GTA AAA CGA CGG CCA GT -3'
(universal sequencing primer, acting here as the forward primer)
and RSP 5'- CAG GAA ACA GCT ATG ACC -3' (reverse sequencing
primer) were used.
DNA sequencing.
Plasmid isolation was carried out using the
GFX Micro Plasmid Prep kit (Amersham Pharmacia Biotech). Cells of a
single clone were incubated overnight at 37°C in LB medium. After
cell lysis, the DNA was adsorbed onto the fiberglass column and washed
according to the manufacturer's instructions. The DNA was eluted from
the column in 100 µl of 10 mM Tris-HCl. The 16S rDNA fragment was sequenced with the SequiTherm EXCEL II Long Read DNA sequencing kit-LC
(BIOzym) according to the method of Sanger et al. (31). The gel run was performed using a LI-COR automated DNA-sequencing machine (MWG-Biotech). In addition to the plasmid-specific primers USP
and RSP, the procaryote-specific forward primers 16F530 and 16F926 and
reverse primers 16R519 and 16R907 (21) were used as
infrared dye-labeled dideoxyoligonucleotides. The sequence data were
collected and analyzed with the MWG-Biotech software package BaseImagIR
version 4.1.
16S rRNA gene sequence comparison and phylogenetic analysis.
The 16S rDNA sequence of each strain was aligned with 16S rRNA gene
sequences from the GenBank EMBL, and DBJ sequence databases using the
BLAST algorithm (1). Sequence similarities were calculated for the complete sequence using unambiguously determined nucleotide positions with the sequence alignment program ALIGN Plus version 2.0 (Scientific and Educational Software). Distance and bootstrap analyses
were performed with Clustal X (36) using the
neighbor-joining method (30). Dendrograms were constructed
with the TreeView version 1.5 software program (28). The
results were verified by ARB software using maximum parsimony and
maximum likelihood methods (13).
Statistical data analysis.
The physiological-analysis data
were converted to a binary code, and interisolate relationships were
measured by the Euclidian metric unweighted pair-group average method
using the program STATISTICA (StatSoft, Hamburg, Germany).
Nucleotide sequence accession numbers.
The nucleotide
sequences of 14 16S rDNAs from the isolates investigated in this study
(e-p14, e-p17, e-p10, e-p3, e-p19, e-p20, c5, c6, c20, e-a21, e-a1,
e-a23, e-p13, and e-a22) have been deposited in the EMBL data library
under accession numbers AJ293461 to AJ293474.
 |
RESULTS |
Antifungal activity and production of antifungal metabolites.
Table 1 shows the results of in vitro
tests of activity against the human pathogenic fungus C. albicans and the plant pathogens V. dahliae, S. sclerotiorum (ascomycetes with a chitin-glucan-containing cell
wall), and R. solani (a basidiomycete with a
chitin-glucan-containing cell wall). Generally, the fungi grew as well
as the Stenotrophomonas isolates on WA. Inhibition was
clearly discerned by limited growth or the complete absence of fungal
mycelium in the inhibition zone surrounding a bacterial colony.
Although nearly half of the isolates were antifungal, they showed a
high variability in their activity. Only one clinical strain (c10) was
active against plant pathogenic fungi. However, 8 of the 25 strains
(32%) were active against the human-associated pathogen C. albicans. In contrast, 62% of the environmental isolates
demonstrated antifungal activity against the chosen plant pathogenic
fungi, while only 21% were effective against C. albicans.
Thirteen isolates showed activity against only one fungus in vitro.
Four environmental isolates (e-p8, e-p12, e-p13, and e-p14) were active
against all of the tested fungi. The majority of the isolates were
active against V. dahliae and C. albicans (16 and
13 active strains, respectively).
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TABLE 1.
In vitro activity against plant- and human-pathogenic
fungi and production of antagonistic agents by S. maltophilia isolates
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Mechanisms of fungal inhibition were elucidated by tracing
secondary-metabolite production and fungal cell wall-degrading
activity
(Table
1). Antibiotic effects and siderophore production
were shown for
all strains. In addition, all strains were able
to produce proteases in
various amounts. Four out of 25 (16%)
clinical and 9 out of 24 (38%)
environmental strains showed fungal
cell-wall-degrading enzyme

-1,3-glucanase activity. With the
exception of strains e-p20 and
e-a24, chitinolytic activity was
detected for all
Stenotrophomonas strains. In summary, the potential
mode of
action was strain
dependent.
16S rDNA gene sequencing.
By using primers annealing at the 9- through 27-bp forward and 1,525- through 1,545-bp reverse positions of
the 16S rDNA, nearly the complete gene could be sequenced as based on a
comparison with the E. coli 16S rRNA gene sequence. Between
1,531 and 1,534 bases were determined, corresponding to about 99.4% of
the gene. Each gene sequence was confirmed by determining contiguous
overlapping sequences.
By the BLAST algorithm, all strains could be determined as
S. maltophilia with 98 to 99% certainty. The most similar
S. maltophilia strains were LMG 958
T (EMBL accession
number
X95923) and LMG 957 (EMBL accession
number
AJ131114) for the
clinical isolates and LMG 11087 (EMBL
accession number
X95924) for some
environmental strains. Because
of phylogenetic nearness to the genus
Xanthomonas,
Xanthomonas campestris strain XCC15
(GenBank accession number
AF123092.2)
was submitted to sequence
investigation. It was found to be the
closest to
S. maltophilia according to analysis with BLAST. Figure
1 shows the inferred phylogenetic
relationship between the investigated
strains,
S. maltophilia LMG 958
T and
X. campestris
strain XCC15. At an identity level of about
99.5%, three clusters
could be distinguished. The clinical isolates
were grouped on their own
in cluster C. Nine environmental strains
(e-a1, e-a2, e-p11, e-p12,
e-p13, e-a21, e-a22, e-a23, and e-a24)
were included in cluster C, with
e-a1, e-a2, and e-a22 forming
a separate group within cluster C. The
other environmental strains
could be ordered into two clusters, E1 and
E2, with about 2.0%
and 0.5% differences from the clinical cluster,
respectively.

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FIG. 1.
Inferred phylogenetic relationships among the
investigated S. maltophilia isolates. Evolutionary distances
were calculated from pairwise sequence comparison using CLUSTAL X
(neighbor-joining method). The dendrogram was constructed with TREEVIEW
1.5 software.
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|
A pairwise comparison of the sequence data and the similarity data for
S. maltophilia LMG 958
T,
X. campestris XCC15, and
E. coli showed that clinical
strains
had average sequence similarities of 99.2% to each other and
the
reference strain DSM 50170. The lowest values were obtained with
strain c18. The environmental strains showed an average similarity
of
98.5% to each other, for which cluster E1 strains had the lowest
values. Within the E1 and E2 clusters, the similarity was about
99.5%,
with a 2.2% difference between the clusters. Differences
with clinical
cluster C were 1.1% in cluster E2 and 3.3% in E1.
The average
similarities to XCC15 and
E. coli were 96.5 and 82.6%,
respectively, for clinical cluster C, 96.8 and 82.9%, respectively,
for E2, and 97.4 and 83.7%, respectively, for
E1.
Key sequences of typical strains could be used to differentiate between
the clinical and the environmental as well as between
the two
environmental clusters. These differences were most prominent
in the
variable regions: V1 with helix 6 (
E. coli positions 69
through 100) had four variable positions; V2 (
E. coli
positions
143 through 222) had three to seven variable positions; V6
(
E. coli positions 447 through 487) had one and three to
nine variable
positions; V7 (
E. coli positions 589 through
650) had three to
five variable positions; and V9 (
E. coli
positions 1,240 through
1,298) had four variable positions. As
examples, the variable
regions V1 and V6 are represented in Fig.
2. In these regions
mismatches were found
to be distributed throughout all sequences.
In the V1 region, the
clinical strains formed two different groups,
whereas the aquatic and
environmental isolates were more homologous
and fitted in with the
X. campestris strain XCC15. However, some
exceptions
existed; e-p5, e-p11, e-p12, e-p13, and e-a23 were
found to be similar
to one of the clinical groups (data not shown).
In V6, the clinical and
E2 cluster strains were not distinguishable.
The highest variability
was expressed by the strains of cluster
E1. In variable regions V2 and
V9, only the cluster E1 strains
showed divergent base compositions.
Additionally, these strains
were different not only in isolated
positions of semivariable
regions but also in some universal regions
such as positions 983
and 1,211.

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FIG. 2.
Sequences for the hypervariable regions V1, including
helix 6, and V6 of selected S. maltophilia strains from each
cluster.
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|
 |
DISCUSSION |
The investigated S. maltophilia strains showed high
variability in their in vitro activity against pathogenic fungi and the production of antifungal metabolites and enzymes. Overall, more environmental isolates than clinical isolates showed antifungal activity. Clinical strains demonstrated remarkable activity against the
human pathogenic fungus C. albicans. Antifungal activity
against plant pathogens was more common and generally more severe in
the environmental isolates, but it was not exclusive to this group. These investigations confirmed the strain specificity of the antifungal activity found for other species, e.g., Pseudomonas
fluorescens (4, 26). In addition, the homogeneity of
the investigated strains for the production of potential antifungal
metabolites is of interest. The known mode of action for S. maltophilia is the production of antifungal agents, e.g.,
maltophilin, a novel macrocyclic lactam agent (19);
xanthobaccins (25); siderophores with unknown structure
(6); and the
-1, 3-glucanase, chitinase (6), and protease (12) lytic enzymes. Note
that the antifungal mode of action of plant-associated bacteria is
often strain specific (20, 25, 26). In conclusion, no
significant differences in antifungal features were observed between
clinical and environmental isolates, but the environmental population
showed more diverse reactions than did the clinical group.
16S rDNA sequencing allowed the investigated clinical, aquatic, and
plant-associated S. maltophilia strains to be distinguished. Two clusters with only environmental isolates (E1 and E2) and one with
all of the clinical and a few of the environmental strains (C) were
defined. While the isolates in clusters E1 and E2 were exclusively
derived from rhizospheres, the few environmental strains in cluster C
were isolated from a brackish lagoon (e-a1 and e-a2), from the
rhizosphere of oilseed rape (e-p11, e-p12, and e-p13), from sewage
(e-a21 and e-a22), and from eye care solution (e-a23 and e-a24).
Because the eye care solution strains caused endophthalmitis after
application in the clinic (Bader et al., Augeninfekt. Herstell. Kontam.
intraokul. Spüllösung, abstr. 6P6), they could also be
classified as clinical strains. The same is true for strains isolated
from sewage containing a high input of communal and clinical waters and
from the brackish lagoon, which acts as a prefilter basin in the Baltic
Sea, with a high amount of sewage from households and hospitals
(32). A comparison of these results with the investigated phenotypic features revealed that these six aquatic strains had the
same characteristics as clinical isolates and could therefore be
ordered together. A high degree of genetic similarity of the original
environmental-rhizosphere isolates to clinical strains was shown by
strains e-p11, e-p12, and e-p13. These three strains could strongly
inhibit fungal growth, but they must have been placed in the clinical
cluster according to 16S rDNA sequence analysis. Thus, strains e-p11,
e-p12, and e-p13 were the only exceptions, which makes the exact
differentiation between clinical-aquatic and rhizosphere isolates by
16S rDNA sequence analysis impossible.
Cluster E1 tended to be more closely related to the xantomonads.
However, S. maltophilia was formerly classified as X. maltophilia (35), but because of significant
physiological and genotypic differences with other
Xanthomonas strains, a new genus was defined (29). Moore et al. (23) showed a 3%
difference in 16S rDNA sequences between the two genera, which
corresponded to 45 to 68 nucleotide bases. We report here that we
obtained 48 different nucleotides out of 1,534 between the S. maltophilia type strain DSM 50170 and X. campestris
XCC15, which exactly corresponds to 3%. Normally, sequence differences
of about 3% suggest that strains belong to different species, not
different genera. With 3% as the yardstick to differentiate between
two genera, the isolates of genomovar E1 and eventually of E2 could in
future be regarded as different species within the
Stenotrophomonas complex. Recent investigations have raised
the possibility of various different species existing in this group
(17, 27). Stackebrandt and Goebel (34)
considered the limitations of 16S rDNA sequence data for defining
bacterial identities. Especially at sequence homologies over 99%,
DNA-DNA hybridization of the whole genome is still the requirement most
often proposed to describe new species (23).
The relatively high number of isolates in each cluster (eight in E1 and
seven in E2) contradicts the hypothesis that nucleotide differences are
random mutations independent of evolutionary pressure. In these
clusters, the base changes can be considered as "signature positions" which are characteristic for the individual clusters. Hence, the clusters can be regarded as genomovars in the S. maltophilia complex with their own type strains (37).
The sequence variable "hot spots" were regions V1, V2, V6, V7, and
V9. The V6 region was the only one that allowed differentiation of
cluster E1 within a narrow range of nucleotides. Most clinical strains
had only one mismatch, but some had two additional changes, which
corresponded to cluster E2. Cluster E1 strains differed in nine
different positions. Because of the close proximity of the variable
positions within the V1 and V6 regions, these areas could be ideal for
probe design for diagnostic and epidemiological analysis of clinical
and environmental S. maltophilia isolates by, for example,
in situ hybridization (2). Additionally, a larger section
of the V6 region with suitable primers can be used in denaturing
gradient gel electrophoresis (24). So, we can suggest
variable regions on the 16S rDNA as potential differentiation markers
between clinical and environmental S. maltophilia strains;
however, simple and rapid identification methods suitable for standard
pathology laboratories should be developed.
S. maltophilia has an ambivalent character, first as a
biocontrol and bioremediation agent and second as a multiresistant pathogen in nosocomial infections. The question is whether the environment can serve as a potential origin of clinical S. malthophilia infections. Recent investigations showed a high
genetic variability within the species without any correlation to the
source of isolation (7, 16, 27). The diversity of genomic
patterns obtained by different molecular fingerprinting techniques
suggests that a reservoir of S. maltophilia strains exists
in the environment, from which certain strains adapt as opportunists.
In this study, we could separate the environmental, especially the
rhizosphere, isolates from the clinical strains by 16S rDNA analysis,
with the exception of three. This result complicates the accurate
determination of the environmental source(s) for clinical S. maltophilia infections. Additionally, it is not known whether the
investigated environmental strains can cause infections in humans or
whether clinical strains originate from environmental S. maltophilia.
 |
ACKNOWLEDGMENTS |
We thank Hella Goschke for valuable technical assistance and Lutz
Bader (Munich), Britta Bruun (Copenhagen), Petra Marten and Jana
Lottmann (Rostock), Kornelia Smalla (Braunschweig), and Matthias Scholz
(Leipzig) for providing the Stenotrophomonas strains.
The study was supported by the Deutsche Forschungsgemeinschaft and the
Fonds der Chemischen Industrie.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: University of
Rostock, Department of Biosciences, Microbiology, Gertrudenstrasse 11A, D-18051 Rostock, Germany. Phone: 49-381-4942049. Fax: 49-381-4942244. E-mail: gabriele berg{at}biologie.uni-rostock.de.
 |
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Journal of Clinical Microbiology, January 2001, p. 139-145, Vol. 39, No. 1
0095-1137/01/$04.00+0 DOI: 10.1128/JCM.39.1.139-145.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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