BioMed Research International

BioMed Research International / 2014 / Article
Special Issue

Research on Bacterial Virulence in the Developing Countries

View this Special Issue

Research Article | Open Access

Volume 2014 |Article ID 151405 | 13 pages |

Phylogenetic Analysis of Stenotrophomonas spp. Isolates Contributes to the Identification of Nosocomial and Community-Acquired Infections

Academic Editor: Ana Lucia Nascimento
Received06 Feb 2014
Accepted17 Mar 2014
Published10 Apr 2014


Stenotrophomonas ssp. has a wide environmental distribution and is also found as an opportunistic pathogen, causing nosocomial or community-acquired infections. One species, S. maltophilia, presents multidrug resistance and has been associated with serious infections in pediatric and immunocompromised patients. Therefore, it is relevant to conduct resistance profile and phylogenetic studies in clinical isolates for identifying infection origins and isolates with augmented pathogenic potential. Here, multilocus sequence typing was performed for phylogenetic analysis of nosocomial isolates of Stenotrophomonas spp. and, environmental and clinical strains of S. maltophilia. Biochemical and multidrug resistance profiles of nosocomial and clinical strains were determined. The inferred phylogenetic profile showed high clonal variability, what correlates with the adaptability process of Stenotrophomonas to different habitats. Two clinical isolates subgroups of S. maltophilia sharing high phylogenetic homogeneity presented intergroup recombination, thus indicating the high permittivity to horizontal gene transfer, a mechanism involved in the acquisition of antibiotic resistance and expression of virulence factors. For most of the clinical strains, phylogenetic inference was made using only partial ppsA gene sequence. Therefore, the sequencing of just one specific fragment of this gene would allow, in many cases, determining whether the infection with S. maltophilia was nosocomial or community-acquired.

1. Introduction

The genus Stenotrophomonas is genetically and phenotypically heterogeneous [1, 2], presently encompassing twelve recognized species validated in the List of Prokaryotic Names with Standing in Nomenclature ( S. maltophilia, the genus type species, besides its biotechnological importance (nitrogen fixing, stimulation of plant growth), has gained clinical importance in the last two decades, being the only specie of the genus Stenotrophomonas found in the environment and also as an opportunistic human pathogen [1, 3, 4]. S. maltophilia occurs in any aquatic/humid environment and is capable of colonizing and proliferating in abiotic surfaces, such as Teflon, glass, and plastics, and it has been isolated in niches as diverse as catheters, dialysis machine tubing, and drinking water reservoirs [4], causing nosocomial as well as community-acquired infections [47].

S. maltophilia can cause serious bloodstream and respiratory infections in immunocompromised patients, with reports on crude mortality rates between 18% and 69% (reviewed by Paez and Costa [8]). S. maltophilia infections have great relevance in pediatric hospitals, being associated to high morbimortality rates (crude mortality rates around 40%) in Intensive Care Unit (ICU): hospitalized and/or immunocompromised patients [9, 10]. Surveys from different geographic regions report an increasing rate of S. maltophilia infections in the last decade, probably associated with an escalation of invasive procedures, the spread of naturally carbapenen-resistant S. maltophilia,and the empirical use of broad spectrum antibiotics [3, 6, 1012]. Furthermore, S. maltophilia is not exclusively a nosocomial pathogen, since it has been associated with community-acquired infections, mainly affecting patients with some kind of comorbidity [5, 7] and mostly related to water supply contamination [4]. In a recent survey of S. maltophilia bloodstream infections in Taiwan between 2008 and 2011 (153 cases), Chang et al. [7] found that 38.6% were community-onset (48.5% community-acquired and 52.8% healthcare-associated).

S. maltophilia has high-level intrinsic resistance to many unrelated antibiotics [4, 6]. Besides multidrug-efflux pumps and low outer membrane permeability, this bacterium can also acquire antibiotic resistance by horizontal transfer of resistance genes located on plasmids, transposons, and integrons [3, 4, 1315]. The remarkable capacity of S. maltophilia for acquiring genetic factors of resistance to antibiotics and biocides shows the importance of conducting resistance profile and phylogenetic studies in clinical isolates, aiming to identify the origins of horizontal genetic transmission (environmental, nosocomial), and isolates with augmented pathogenic potential [4, 16].

Multilocus sequencing typing (MLST) has proven to be a reliable mean for inter- and intraspecies delineation of Stenotrophomonas spp. and a highly portable standard for strain characterization [2, 16]. Moreover, MLST provides an adequate window of discrimination for distinguishing among clusters of closely related isolates (clonal complexes) and, therefore, for unraveling horizontally transferred genetic information, because it modifies the composition inside clonal groups [1619]. Here we used MLST and phylogenetic analysis, as well as biochemical and multidrug resistance profiles, for characterizing nosocomial isolates and clinical strains of Stenotrophomonas spp. and for identifying community- and hospital-acquired origin of nosocomial isolates.

2. Materials and Methods

2.1. Stenotrophomonas spp. Nosocomial Isolates and Strains

Twenty-nine nosocomial isolates obtained from Hospital Israelita Albert Einstein (HIAE), São Paulo, SP, Brazil; and thirteen clinical strains; five environmental strains; and five type strains (one clinical and four environmental) from different collections, in total 52 bacterial strains (Table 1), were selected for phylogenetic and phenotypic analyses for determining their phylogenetic profiles and association with biochemical and multidrug resistance characteristics. Fourteen of the HIAE nosocomial isolates were collected from patients hospitalized in the Intensive Care Unit (ICU). The clinical and environmental strains were obtained from the Belgian Co-ordinated Collections of Micro-organisms/Laboratorium voor Microbiologie of Universiteit Gent (BCCM/LMG, Gent, Belgium, The clinical strains were collected between 1976 and 1995 having different geographical origins. One of the five Stenotrophomonas type strains was obtained from the German Culture Deutsche Sammlung von und Mikroorganismen Zellkulturen GmbH (DSMZ Braunschweig, Germany) and the remaining four came from the BCCM/LMG culture collection.


Nosocomial strains
 HIAE 1911, HIAE 1990, HIAE 1998, HIAE 2336,
 HIAE 2425, HIAE 2737, HIAE 2947, HIAE 3182,
 HIAE 3338, HIAE 3576, HIAE 3730, HIAE 3808,
 HIAE 4003, HIAE 4249, HIAE 4471, HIAE 4500,
 HIAE 4600, HIAE 4638, HIAE 4800, HIAE 4920,
 HIAE 4948, HIAE 5124, HIAE 5399U
Tracheal secretion
 HIAE 2229, HIAE 2505Drain secretion
 HIAE 5180Leg ulcer
 HIAE 3369Human blood culture
 HIAE 5188Eye secretion
 HIAE 3673Brochoalveolar lavage
Clinical strains
 LMG 957, LMG 10851, LMG 10857*, LMG 10874*, LMG 11114Human blood culture
 LMG 10853*Tracheal secretion
 LMG 10877*Patient suffering from sinusitis, pus
 LMG 10989Bile
 LMG 10991*Leg, pus
 LMG 10992Expectoration
 LMG 11002Mamilla
 LMG 11004Urine
 LMG 22072Cerebrospinal fluid
Environmental strains
 LMG 11089, LMG 11090Cichorium intybus rhizosphere
 LMG 11105, LMG 11108 Triticum roots
 LMG 6608 rhizosphere
Type strains
 LMG 958 S. maltophilia Cortical necrosis
 LMG 22073 S. acidaminiphila Mud
 LMG 22074 S. nitritireducens*Laboratory scale filter
 LMG 25348 S. pavanii Sugar cane
 DSMZ 17805 S. koreensis*Compost (straw + manure)

Genomic sequences deposited in the GenBank were utilized in addition to sequences obtained in our laboratory for the genomic analysis by MLST. UStrains collected in the ICU of Hospital Israelita Albert Einstein (HIAE).

Bacterial strains were preserved in Trypticase Soy Broth (TSB, Difco Laboratories, Detroit, Michigan) with glycerol (10% v/v) at −80°C. Nosocomial isolates were grown in TSB and, subsequently, these strains were cultivated on Trypticase Soy Agar (TSA, Difco Laboratories, Detroit, Michigan) to check for any eventual contamination. Belonging to the genus Stenotrophomonas was confirmed by sequencing of a 500 bp fragment of the 16S rRNA gene.

2.2. Biochemical and Drug Resistance Tests

Biochemical phenotyping of nosocomial isolates and bacterial strains was attained by using the API 20 NE kit (BioMérieux, Marcy-I’Etoile, France). Nitrogen-fixing capability—a common characteristic of environmental Stenotrophomonas strains—was determined for all the nosocomial and clinical strains here studied by means of the acetylene reduction assay, using the nitrogen fixing strain Azospirillum brasilense Sp7T as positive control [20].

The antibiotic resistance profiles of Stenotrophomonas nosocomial isolates and strains were determined by using susceptibility test discs [21, 22]. Bacteria were grown on Mueller-Hinton agar in the presence of the following antibiotic discs (Cefar Diagnóstica Ltda., São Paulo, Brazil): amoxicillin/clavulanic acid, 30 μg; imipenem, 10 μg; meropenem, 10 μg; ceftazidime, 30 μg; cefotaxime, 30 μg; aztreonam, 30 μg; ciprofloxacin, 5 μg, levofloxacin, 5 μg; chloramphenicol, 30 μg, trimethoprim-sulfamethoxazole, 25 μg; tetracycline, 30 μg; and tobramycin, 10 μg. The results were evaluated according to CLSI [21, 22].

2.3. Genomic DNA Extraction

Total genomic DNA of bacterial strains was extracted by using the Wizard Genomic DNA Purification Kit (cat. no. A1120, Promega Corporation, Madison, WI), according to the manufacturer’s instructions. DNA quality and concentration were determined through 1.0% agarose gel electrophoresis using the Invitrogen Low Mass ladder (cat. no. 10068013, Invitrogen Corporation, Carlsbad, CA) and ethidium bromide staining and visualization under UV light.

2.4. Phylogenetic Analysis by Multilocus Sequence Typing (MLST)

Seven constitutive genes were chosen for phylogenetic analysis. Six of these genes—atpD, gapA, guaA, ppsA, nuoD, and recA—were firstly employed for inferring the population structure of the genus Stenotrophomonas by Kaiser et al. [16]. We also included the constitutive gene rpoA already used by our group [23].

Amplification conditions for gapA, guaA, ppsA, recA, and rpoA were 1X Taq DNA polymerase buffer, 1.5 mM MgCl2, 2 U of Taq DNA polymerase (cat. no. 10342020 Invitrogen Corporation, Carlsbad, CA), 25 mM of dNTPs, 10 mM of forward and reverse primers [16, 23], and water to adjust the final reaction volume to 50 μL. The amount of DNA per reaction ranged from 20 to 40 ng depending on the size of the gene fragment to be amplified. The PCR reaction was performed for 40 cycles at the following temperatures: denaturation of DNA at 95°C/6 min, annealing at 62°C/15 sec, and extension at 72°C/1 min and 15 sec. A final extension was performed at 72°C/7 min. In order to amplify the sequences of atpD and nuoD [16], the annealing temperatures were decreased to 60°C and 48°C, respectively. The amplified products were purified with GFX PCR DNA and Gel Band Purification Kit (cat. no. 27-9602-01, GE Healthcare, Buckinghamshire, UK), following the manufacturer’s instructions.

The sequencing reactions were performed using the Big Dye Terminator v3.1 Cycle Sequencing Kit (catalog no. 4337455, Applied Biosystems, Austin, Texas) and precipitated with the Big Dye XTerminator Purification Kit (catalog no. 4376486, Applied Biosystems, Austin, TX) following the manufacturer’s instructions. The cycling temperatures were 95°C/20 sec for denaturing, 50–55°C/15 sec for annealing, and 60°C/1 min for elongation. This cycle was repeated 30 times. The sequences were read in the ABI 3500 Genetic Analyzer (Applied Biosystems, Forest City, California).

Sequence quality was analyzed and consensus sequences were identified by using the software Chromas Pro version 1.5 (Technelysium Pty Ltd, After obtaining the consensus sequences for each bacterial strain, these sequences were exported in FASTA format for phylogenetic inference using the software MEGA 5 [24]. The phylogenetic trees were constructed by the neighbor-joining (NJ) method [25, 26], based on the p-distance [27, 28].

The GenBank ( accession numbers for gene nucleotide sequences with 200 bp or more are atpD, KC209168-KC209214; recA, KC209215-KC209254; ppsA, KC209255-KC209300; gapA, KC209301-KC209345; nuoD, KC209346-KC209384; and guaA, KC209385-KC209424. These data were publicly released by GenBank on February 17, 2013.

Analysis of nucleotide sequence diversity was performed for the nosocomial isolates, clinical strains, and type strains using the software DNAsp [29] (DNA Sequence Polymorphism version 4.10) for atpD, gapA, guaA, nuoD, ppsA, recA, and rpoA genes. The parameter Pi (nucleotide diversity) corresponds to the average number of nucleotide differences per site between two sequences [30, 31] and its sampling variance [30].

3. Results

3.1. Biochemical and Drug Resistance Tests

All bacterial strains, with the exception of the four environmental type strains, five well-characterized environmental strains from LMG collection (see Section 2), three nosocomial isolates, and eight clinical strains were tested biochemically and identified as belonging to the genus Stenotrophomonas, what was confirmed for all clinical and nosocomial isolates by 16S rRNA gene sequencing. Theresults showed extensive biochemical similarity between these isolates (see Table 2). Moreover, all nosocomial isolates and clinical strains were found to be unable to reduce acetylene, revealing their incapacity for fixing nitrogen.

Phylogenetic groupsStrainsBiochemical profile
Figure 1Figure 4NO3ADHUREPNPG

B.III.3B.IV.3HIAE 1998+
HIAE 2229+
HIAE 2425+
LMG 11114+

B.III.2B.IV.2HIAE 3673+++
LMG 11002+
HIAE 3730
HIAE 4003++

B.III.1B.IV.1HIAE 5124++
HIAE 3369+++
LMG 957++
LMG 10853++
HIAE 2336+

HIAE 3576
HIAE 4600++
HIAE 4500+
HIAE 4800+
HIAE 3808+
HIAE 5399+

HIAE 4249
HIAE 1911+
HIAE 4948+
HIAE 3182++
HIAE 1990
LMG 958++
HIAE 5188++
LMG 10992++
HIAE 4638++
HIAE 2505
HAIE 2737

NO3: Potassium nitrate, ADH: L-arginine, URE: urea, and PNPG: 4-nitrophenyl β-D-galactopyranoside.
All strains were negative for the following: TRP: L-tryptophane, GLU: D-glucose (fermentation), ARA: L-arabinose, MAN: D-mannitol, GNT: potassium gluconate, CAP: capric acid, ADI: adipic acid, PAC: phenylacetic acid, and OX: oxidase and positive for the following: ESC: esculin, GEL: gelatin, GLU: D-glucose (assimilation), MNE: D-mannose, NAG: N-acetyl-glucosamine, MAL: D-maltose, MLT: malic acid, and CIT: trisodium citrate.
Strains LMG 25348, HIAE 2947, and HIAE 4471 were not tested.

The 42 bacterial strains tested for drug resistance (Table 3) showed sensitivity to levofloxacin. The sensitivity to other antimicrobials was slightly or considerably lower: chloramphenicol (97.6%), trimethoprim-sulfamethoxazole (90.5%), ciprofloxacin (88.1%), ceftazidime (76.2%), tetracycline (71.4%), and tobramycin (71.4%). The isolates were resistant to imipenem (97.6%), cefotaxime (95.2%), aztreonam (85.7%), amoxicillin/clavulanic acid (85.7% each), and meropenem (81%). Interestingly, the majority of clinical isolates studied here show resistance to various beta-lactams (AMC, IPM, MER, CAZ, CTX, and ATM), a characteristic of clinical isolates of S. maltophilia [32, 33].

Phylogenetic groupsStrainsDrugs tested: inhibition halo diameter in mm/resistance levelMR

B.III.3B.IV.3HIAE 19980/R0/R0/R17/I 0/R0/R17/I 20/S22/S23/S19/S0/R+
HIAE 22290/R0/R0/R22/S11/R0/R22/S30/S26/S29/S22/S15/S+
HIAE 24250/R0/R0/R25/S12/R0/R29/S33/S29/S25/S18/I 15/S+
LMG 111140/R0/R0/R25/S15/I0/R28/S33/S29/S21/S21/S0/R+

B.III.2B.IV.2HIAE 36730/R0/R0/R22/S9/R0/R23/S30/S20/S26/S20/S23/S+
LMG 1100230/S0/R28/S36/S18/I0/R32/S28/S34/S34/S20/S28/S+
HIAE 37300/R0/R0/R16/I 0/R0/R27/S33/S30/S27/S17/I 15/S+
HIAE 40030/R0/R0/R27/S15/I 0/R29/S33/S28/S31/S25/S25/S+

B.III.1B.IV.1HIAE 512410/R8/R13/R28/S16/I 0/R36/S36/S26/S30/S24/S26/S+
HIAE 336912/R0/R13/R30/S19/I 0/R31/S35/S28/S24/S16/I 23/S+
LMG 95711/R0/R10/R32/S20/S0/R31/S28/S21/S34/S17/I 21/S+
LMG 1085318/S0/R20/S40/S21/I 0/R30/S33/S32/S27/S26/S22/S+
HIAE 233610/R0/R0/R16/I 0/R0/R15/R21/S22/S20/S0/R25/S+

B.IIB.IIIHIAE 333811/R0/R12/R28/S12/R22/S27/S32/S29/S28/S20/S24/S+
HIAE 357610/R0/R22/S25/S17/I 16/I 28/S29/S26/S17/S17/I 23/S+
HIAE 460012/R0/R11/R26/S0/R23/S30/S33/S32/S24/S21/S22/S+
HIAE 45000/R0/R0/R17/I 0/R0/R27/S33/S27/S29/S25/S20/S+
HIAE 48000/R0/R0/R31/S0/R0/R28/S31/S21/S27/S28/S20/S+
HIAE 38089/R0/R0/R20/S0/R0/R28/S29/S28/S24/S22/S18/S+
HIAE 53990/R0/R0/R17/I 0/R0/R29/S30/S36/S25/S23/S22/S+

B.IB.IILMG 220720/R0/R0/R0/R10/R0/R23/S26/S23/S25/S19/S16/S+
HIAE 51800/R0/R0/R31/S12/R0/R23/S33/S34/S31/S33/S12/R+
HIAE 492011/R0/R0/R0/R0/R0/R0/R31/S31/S21/S19/S25/S+
HIAE 424910/R0/R0/R21/S0/R0/R9/R17/S29/S0/R13/R0/R+
HIAE 19118/R0/R0/R20/S0/R0/R22/S26/S30/S17/S10/R0/R+
HIAE 49480/R0/R0/R31/S0/R0/R28/S31/S21/S27/S22/S0/R+
HIAE 31820/R0/R0/R18/S10/R0/R20/I 17/S23/S24/S19/S0/R+
HIAE 19900/R0/R0/R10/R0/R0/R26/S25/S27/S0/R13/R12/R+
LMG 958 S. maltophilia 24/S0/R23/S29/S15/I 23/S36/S36/S34/S26/S27/S18/S −*
HIAE 518818/S0/R0/R28/S10/R0/R38/S40/S30/S38/S26/S18/S+
LMG 109920/R0/R0/R22/S13/R0/R27/S31/S31/S26/S23/S15/S+
HIAE 46380/R0/R0/R21/S0/R0/R23/S27/S23/S21/S21/S23/S+
HIAE 25050/R0/R0/R10/R15/I 0/R36/S36/S25/S26/S24/S0/R+
HIAE 273712/R0/R0/R16/I 0/R0/R29/S32/S34/S27/S18/I 0/R+

BB.ILMG 110040/R0/R0/R24/S10/R0/R30/S34/S0/R0/R22/S25/S+
LMG 1099110/R0/R32/S28/S10/R32/S38/S32/S30/S38/S24/S34/S+
LMG 108510/R0/R0/R26/S13/R0/R34/S40/S36/S28/S16/I 38/S+
LMG 108770/R0/R0/R20/S0/R0/R26/S29/S28/S27/S22/S25/S+
LMG 1098916/I 8/R24/S26/S12/R24/S32/S40/S30/S28/S30/S8/R+
LMG 108570/R0/R0/R29/S0/R0/R24/S28/S25/S26/S13/R0/R+

AALMG 22073 S. acidaminiphila 30/S13/R42/S29/S16/I 42/S35/S37/S33/S17/S31/S28/S−*
DSMZ 17805 S. koreensis 39/S37/S41/S31/S40/S0/R28/S29/S32/S0/R32/S25/S

MR: Multidrug resistance. Amoxicillin/clavulanic acid (AMC); imipenem (IPM); meropenem (MER); ceftazidime (CAZ); cefotaxime (CTX); aztreonam (ATM); ciprofloxacin (CIP); levofloxacin (LVX); chloramphenicol (CHL); trimethoprim-sulfamethoxazole (SXT); tetracycline (TET); tobramycin (TOB). The drug tests were not performed for HIAE 2947, HIAE 4471, LMG 10874, LMG 22074, LMG 25348, S. pavanii,  and S. nitritireducens strains.
Resistance levels: bold font: resistant; italic font: intermediate; normal font: sensible.
3.2. MLST Phylogenetic Analysis

In order to conduct phylogenetic studies using MLST data, fragments of seven constitutive genes were amplified and sequenced for 45 strains and for 7 strains were obtained from GenBank [2, 16] as indicated in Table 1. After sequence alignment, fragments sized 136 to 401 nucleotides for the atpD, gapA, guaA, nuoD, ppsA, recA and rpoA genes were used for nucleotide diversity and phylogenetic analyses. The gene with the highest number of polymorphic sites (87 sites) was guaA, followed by recA (66 sites), and the genes rpoA, ppsA and gapA had the higher rates of nucleotide diversity (Table 4).

GeneFragment size (bp)Polymorphic sitesMutationsNucleotide diversity (Pi)

atpD (3)30324222 0.02013
gapA (1)314554870.03592
guaA (3)401878790.02889
nuoD (1)213322840.02742
ppsA (1)2575646100.03763
recA (1)254675890.03749
rpoA (1)1362917120.03904

Numbers between parentheses indicate the transcription initiation base position.

Concatenated sequences were firstly obtained using fragment sequences of atpD, gapA, guaA, ppsA, nuoD, recA, and rpoA from 47 bacterial samples. These concatenated sequences were utilized to construct a neighbor-joining tree (based on p-distance). The phylogram (Figure 1) shows the division of these 47 strains in two groups: group A contains three type strains of environmental species of the genus Stenotrophomonas and group B includes all nosocomial strains and type strains of S. maltophilia and S. pavanii. Interestingly, group B is divided into three major subgroups (bootstrap > 70): B.I and B.II sharing high phylogenetic homogeneity and subgroup B.III, more heterogeneous, encompassing three clusters of strains (bootstrap > 99). Phylograms were also constructed using one-gene fragments (ppsA or recA genes). The ppsA phylogram (Figure 2) shows a tree topology very similar to phylogram based on seven genes concatenated as depicted in Figure 1. On the other hand, the recA phylogram (Figure 3) shows a shuffling between the B.III clusters and B.I subgroup, thus favoring the hypothesis of intersubgroup recombination. It is worth to note that groups B.I and B.III comprise isolates and strains with higher resistance to antibiotics.

3.3. Phylogenetic Analysis Including Environmental Strains of S. Maltophilia

A phylogram for analyzing the genetic similarity between clinical and environmental isolates of the genus Stenotrophomonas (all strains of Table 1) was built using the concatenated fragment sequences of the genes atpD, gapA, guaA, ppsA, nuoD, and recA (Figure 4). In this phylogram, it is possible to observe the formation of two groups of strains with higher phylogenetic proximity: group A contains only three environmental type strains of Stenotrophomonas and Group B contains all the other clinical and environmental strains plus the type strains of S. maltophilia and S. pavanii. Considering the phylogenetic proximities, group B can be divided in four subgroups (B.I to B.IV). B.I includes the five environmental strains of S. maltophilia and four nosocomial strains. B.II contains the type-strain of S. maltophilia and 12 nosocomial strains. B.III encompasses seven nosocomial isolates. B.IV contains the type-strain of S. pavanii and 14 nosocomial strains. The subgroup B.IV is subdivided into three small clusters: B.IV.1 and B.IV.2 encompass only nosocomial strains and B.IV.3 encompasses nosocomial strains and the type-strain of S. pavanii.

It is important to note that the subgroups and clusters B.II, B.III, B.IV.1, B.IV.2, and B.IV.3 have high phylogenetic similarity (bootstrap values between 99 and 100). Moreover, most of the strains in the groups B.II, B.III, B.IV.1, and B.IV.2 exhibit some intragroup metabolic differences, whereas the samples grouped into B.IV.1 show the same biochemical profile (Table 2). This phenotypic divergence between strains and isolates belonging to the same phylogenetic group indicates multiplicity of origin, as will be discussed later. Finally, the phylogram depicted in Figure 4 also shows that the majority of nosocomial isolates and clinical strains are phylogenetically distinct from environmental strains of S. maltophilia.

4. Discussion

This study adopted a phylogenetic approach—based on analysis of nucleotide sequences of fragments of specific genes by constitutive multilocus sequencing typing (MLST)—to investigate the clonal variability of nosocomial isolates and clinical strains of the genus Stenotrophomonas, which were also characterized biochemically and for their antibiotic resistance profile. This study allowed us to correlate the phylogenetic and phenotypic profiles with a multiclonal origin, reflecting the process of adaptability of bacteria of the genus Stenotrophomonas to different habitats.

A common phenotypic trait of all clinical strains and nosocomial isolates of Stenotrophomonas spp. studied in this work is their incapacity for nitrogen fixation. Biological nitrogen fixation is typical of environmental S. maltophilia (as well as of other Stenotrophomonas species) and depends on the nitrogenase structural gene nifH [21, 34, 35]. The expression of nif genes is controlled by nitrogen availability or the energetic status of the bacterial cell [36]. Therefore, one is tempted to hypothesize that the loss of the nifH gene cluster [37] could be an energy-saving adaptive event favoring the transition from free-living to opportunistic pathogen phenotype.

Phylogenetic analysis by MLST clearly showed that the nosocomial isolates and clinical strains of Stenotrophomonas spp. here studied have multiclonal origin and that the nosocomial isolates are grouped separately from environmental strains of the genus Stenotrophomonas (excepting S. pavanii). The pattern here observed is that of clonal complexes: groups are closely related, but not identical, to probable origin in a relatively recent common ancestor [1618].

The phylogenetic groups and subgroups (see Figures 1 and 4) show high values (higher than 80) of bootstrap, indicating that amount of genetic variability here analyzed was adequate for defining five clonal groups (in Figure 1: subgroups B.I; B.II; B.III.1, 2, and 3 or in Figure 4: subgroups B.II and B.IV. 1, 2, and 3) among the clinical samples included in this study. Importantly, the 29 clinical samples isolated from HIAE patients of which 14 were collected from ICU patients (see Table 1) between August 2005 and July 2006 and 13 strains of clinical LMG, isolated at different times (between 1976 and 1995) and with distinct geographical origins, are positioned inside the subgroups B.I and B.III or B.II and B.IV identified in the phylograms shown in Figure 1 or Figure 4, respectively. Altogether, these data are consistent with a scenario of community-origin infections.

The multiclonal origin of clinical strains and nosocomial clinical isolates studied here is consistent with the characteristics of emerging and opportunistic pathogen described for S. maltophilia [4]. Moreover, this characterization is supported by detection of multidrug resistance in all these isolates and strains, what is a distinctive property of opportunistic pathogens of environmental origin [1, 4]. In the case of this study, it is worth to note that the majority of clinical isolates showed resistance to beta-lactams, which is typical of clinical isolates of S. maltophilia [11, 32, 33].

It is also interesting to note that some strains and clinical isolates with large phylogenetic proximity, with bootstrap values between 99 and 100 (see Figure 4 and Table 2), which could be considered as belonging to the same clonal group, do not share full identity in the metabolic profile, which indicates the community origin of these isolates and adaptive plasticity of its genome.

Comparative analysis of the phylograms based on ppsA (Figure 2) and recA (Figure 3) genes indicates the occurrence of intergroup genetic recombination involving subgroup B.III: there is clear separation between subgroups B.I and B.III in the phylogram generated from ppsA, but there is an overlapping of B.I subgroup and part of samples of B.III.2 and B.III.3 subgroups in the phylogram generated from recA. This result suggests the occurrence of a mechanism of horizontal transfer of genetic material that may occur by the insertion of phage, plasmids, pathogenic islands, or action of transposons [18, 38]. Moreover, it is well established that S. maltophilia can acquire genes involved in the resistance to antimicrobial agents and antibiotics from other environmental bacteria through horizontal gene transfer [4, 14].

Horizontal gene transfer events can modify the composition of clonal groups as evidenced by studies of MLST [1619]. This is precisely the case of the isolates that integrate the B.I and B.III subgroups. This finding by MLST analysis indicates that the genome of subgroup B.III would be permissive to gain new factors of virulence and of resistance to antimicrobial agents. In fact, strains of the subgroups B.I and B.III are among the most multiresistant to antibiotics in this study (see Table 3).

The constitutive genes guaA, gapA, ppsA, and rpoA showed the highest nucleotide variability among the seven genes selected for phylogenetic analysis by MLST (Table 4). Using data from sequencing of specific fragments of these genes, four phylograms were generated and the phylogram generated from ppsA gene fragment sequence showed the discrimination of clonal groups closest to the concatenated phylogram shown in Figure 1. This result has practical interest since it indicates that the sequencing of a fragment of 257 bp of the ppsA gene can serve to discriminate between clonal groups of isolates of the genus Stenotrophomonas. This simplified scheme can be employed in a clinical laboratory to check whether the infection with S. maltophilia was nosocomial or community-acquired.

5. Conclusions

The results of this work show that phylogenetic analysis by MLST is an important tool for the investigation of the genus Stenotrophomonas as an emerging pathogen. Such analysis is appropriate to identify the nosocomial or community origin of infections, serving to detect outbreaks and allowing a study of the population structure of the pathogen that is important for molecular epidemiology [1618]. Moreover, studies using MLST are useful to investigate the origin of community infections by S. maltophilia and identify intermediate hosts, an area that remains unclear [4]. As emphasized by Maiden [17], MLST provides universal and rapid means for the identification of clonal complexes corresponding to hyperinvasive strains while they are spreading globally.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


The authors are deeply indebted to Waldir Pereira Elias Jr. and Cecilia Mari Abe, from the Laboratory of Bacteriology, Instituto Butantan, for valuable suggestions and laboratorial support and Leandro R. Ferreira, from the Laboratory of Pediatric Genomics, Department of Pediatrics, FMUSP, for performing part of the DNA sequencing used in this work. They also thank Patricia L. Ramos, Department of Biophysics, UNIFESP, for providing most of the environmental and clinical strains used in this study. This work was partially funded by FAPESP Grant no. 2010/04115-9.


  1. R. P. Ryan, S. Monchy, M. Cardinale et al., “The versatility and adaptation of bacteria from the genus Stenotrophomonas,” Nature Reviews Microbiology, vol. 7, no. 7, pp. 514–525, 2009. View at: Publisher Site | Google Scholar
  2. Z. Vasileuskaya-Schulz, S. Kaiser, T. Maier, M. Kostrzewa, and D. Jonas, “Delineation of Stenotrophomonas spp. by multi-locus sequence analysis and MALDI-TOF mass spectrometry,” Systematic and Applied Microbiology, vol. 34, no. 1, pp. 35–39, 2011. View at: Publisher Site | Google Scholar
  3. W. J. Looney, M. Narita, and K. Mühlemann, “Stenotrophomonas maltophilia: an emerging opportunist human pathogen,” The Lancet Infectious Diseases, vol. 9, no. 5, pp. 312–323, 2009. View at: Publisher Site | Google Scholar
  4. J. S. Brooke, “Stenotrophomonas maltophilia: an emerging global opportunistic pathogen,” Clinical Microbiology Reviews, vol. 25, no. 1, pp. 2–41, 2012. View at: Publisher Site | Google Scholar
  5. M. E. Falagas, A. C. Kastoris, E. K. Vouloumanou, and G. Dimopoulos, “Community-acquired Stenotrophomonas maltophilia infections: a systematic review,” European Journal of Clinical Microbiology and Infectious Diseases, vol. 28, no. 7, pp. 719–730, 2009. View at: Publisher Site | Google Scholar
  6. O. Nyč and J. Matějková, “Stenotrophomonas maltophilia: significant contemporary hospital pathogen—review,” Folia Microbiologica, vol. 55, no. 3, pp. 286–294, 2010. View at: Publisher Site | Google Scholar
  7. Y. T. Chang, C. Y. Lin, P. L. Lu et al., “Stenotrophomonas maltophilia bloodstream infection: comparison between community-onset and hospital-acquired infections,” Journal of Microbiology, Immunology and Infection, vol. 47, no. 1, pp. 28–35, 2014. View at: Publisher Site | Google Scholar
  8. J. I. G. Paez and S. F. Costa, “Risk factors associated with mortality of infections caused by Stenotrophomonas maltophilia: a systematic review,” Journal of Hospital Infection, vol. 70, no. 2, pp. 101–108, 2008. View at: Publisher Site | Google Scholar
  9. P. S. Wu, C. Y. Lu, L. Y. Chang et al., “Stenotrophomonas maltophilia bacteremia in pediatric patients—a 10-year analysis,” Journal of Microbiology, Immunology and Infection, vol. 39, no. 2, pp. 144–149, 2006. View at: Google Scholar
  10. M. Mutlu, G. Yilmaz, Y. Aslan, and G. Bayramoĝlu, “Risk factors and clinical characteristics of Stenotrophomonas maltophilia infections in neonates,” Journal of Microbiology, Immunology and Infection, vol. 44, no. 6, pp. 467–472, 2011. View at: Publisher Site | Google Scholar
  11. V. Fihman, A. le Monnier, S. Corvec et al., “Stenotrophomonas maltophilia—the most worrisome threat among unusual non-fermentative gram-negative bacilli from hospitalized patients: a prospective multicenter study,” Journal of Infection, vol. 64, no. 4, pp. 391–398, 2012. View at: Publisher Site | Google Scholar
  12. M. Garazi, C. Singer, J. Tai, and C. C. Ginocchio, “Bloodstream infections caused by Stenotrophomonas maltophilia: a seven-year review,” Journal of Hospital Infection, vol. 81, no. 2, pp. 114–118, 2012. View at: Publisher Site | Google Scholar
  13. L. C. Crossman, V. C. Gould, J. M. Dow et al., “The complete genome, comparative and functional analysis of Stenotrophomonas maltophilia reveals an organism heavily shielded by drug resistance determinants,” Genome Biology, vol. 9, no. 4, article R74, 2008. View at: Publisher Site | Google Scholar
  14. M. B. Sanchez, A. Hernandez, and J. L. Martinez, “Stenotrophomonas maltophilia drug resistance,” Future Microbiology, vol. 4, no. 6, pp. 655–660, 2009. View at: Publisher Site | Google Scholar
  15. L. F. Hu, X. Chang, Y. Ye et al., “Stenotrophomonas maltophilia resistance to trimethoprim/sulfamethoxazole mediated by acquisition of sul and dfrA genes in a plasmid-mediated class 1 integron,” International Journal of Antimicrobial Agents, vol. 37, no. 3, pp. 230–234, 2011. View at: Publisher Site | Google Scholar
  16. S. Kaiser, K. Biehler, and D. Jonas, “A Stenotrophomonas maltophilia multilocus sequence typing scheme for inferring population structured,” Journal of Bacteriology, vol. 191, no. 9, pp. 2934–2943, 2009. View at: Publisher Site | Google Scholar
  17. M. C. J. Maiden, “Multilocus sequence typing of bacteria,” Annual Review of Microbiology, vol. 60, pp. 561–588, 2006. View at: Publisher Site | Google Scholar
  18. K. M. E. Turner and E. J. Feil, “The secret life of the multilocus sequence type,” International Journal of Antimicrobial Agents, vol. 29, no. 2, pp. 129–135, 2007. View at: Publisher Site | Google Scholar
  19. J. Wiedenbeck and F. M. Cohan, “Origins of bacterial diversity through horizontal genetic transfer and adaptation to new ecological niches,” FEMS Microbiology Reviews, vol. 35, no. 5, pp. 957–976, 2011. View at: Publisher Site | Google Scholar
  20. C. M. Liba, F. I. S. Ferrara, G. P. Manfio et al., “Nitrogen-fixing chemo-organotrophic bacteria isolated from cyanobacteria-deprived lichens and their ability to solubilize phosphate and to release amino acids and phytohormones,” Journal of Applied Microbiology, vol. 101, no. 5, pp. 1076–1086, 2006. View at: Publisher Site | Google Scholar
  21. CLSI—Clinical Laboratory Standard Institute, Performance Standards for Antimicrobial Susceptibility Testing, 15th Information Suplement M100-S15, CLSI, Wayne, Pa, USA, 2005.
  22. A. W. Bauer, W. M. Kirby, J. C. Sherris, and M. Turck, “Antibiotic susceptibility testing by a standardized single disk method,” The American Journal of Clinical Pathology, vol. 45, no. 4, pp. 493–496, 1966. View at: Google Scholar
  23. P. L. Ramos, C. A. Moreira-Filho, S. van Trappen et al., “An MLSA-based online scheme for the rapid identification of Stenotrophomonas isolates,” Memorias do Instituto Oswaldo Cruz, vol. 106, no. 4, pp. 394–399, 2011. View at: Google Scholar
  24. K. Tamura, D. Peterson, N. Peterson, G. Stecher, M. Nei, and S. Kumar, “MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods,” Molecular Biology and Evolution, vol. 28, no. 10, pp. 2731–2739, 2011. View at: Publisher Site | Google Scholar
  25. N. Saitou and M. Nei, “The neighbor-joining method: a new method for reconstructing phylogenetic trees,” Molecular Biology and Evolution, vol. 4, no. 4, pp. 406–425, 1987. View at: Google Scholar
  26. W. Zhang and Z. Sun, “Random local neighbor joining: a new method for reconstructing phylogenetic trees,” Molecular Phylogenetics and Evolution, vol. 47, no. 1, pp. 117–128, 2008. View at: Publisher Site | Google Scholar
  27. K. Tamura and M. Nei, “Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees,” Molecular Biology and Evolution, vol. 10, no. 3, pp. 512–526, 1993. View at: Google Scholar
  28. K. Tamura, M. Nei, and S. Kumar, “Prospects for inferring very large phylogenies by using the neighbor-joining method,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 30, pp. 11030–11035, 2004. View at: Publisher Site | Google Scholar
  29. J. Rozas, J. C. Sánchez-DelBarrio, X. Messeguer, and R. Rozas, “DnaSP, DNA polymorphism analyses by the coalescent and other methods,” Bioinformatics, vol. 19, no. 18, pp. 2496–2497, 2003. View at: Publisher Site | Google Scholar
  30. M. Nei, Molecular Evolutionary Genetics, Columbia University Press, New York, NY, USA, 1987.
  31. M. Nei and J. C. Miller, “A simple method for estimating average number of nucleotide substitutions within and between populations from restriction data,” Genetics, vol. 125, no. 4, pp. 873–879, 1990. View at: Google Scholar
  32. V. C. Gould and M. B. Avison, “SmeDEF-mediated antimicrobial drug resistance in Stenotrophomonas maltophilia clinical isolates having defined phylogenetic relationships,” Journal of Antimicrobial Chemotherapy, vol. 57, no. 6, pp. 1070–1076, 2006. View at: Publisher Site | Google Scholar
  33. V. C. Gould, A. Okazaki, and M. B. Avison, “β-Lactam resistance and β-lactamase expression in clinical Stenotrophomonas maltophilia isolates having defined phylogenetic relationships,” Journal of Antimicrobial Chemotherapy, vol. 57, no. 2, pp. 199–203, 2006. View at: Publisher Site | Google Scholar
  34. J. P. Zehr, B. D. Jenkins, S. M. Short, and G. F. Steward, “Nitrogenase gene diversity and microbial community structure: a cross-system comparison,” Environmental Microbiology, vol. 5, no. 7, pp. 539–554, 2003. View at: Publisher Site | Google Scholar
  35. L. Duc, S. Neuenschwander, H. Rehrauer et al., “Development and experimental validation of a nifH oligonucleotide microarray to study diazotrophic communities in a glacier forefield,” Environmental Microbiology, vol. 11, no. 8, pp. 2179–2189, 2009. View at: Publisher Site | Google Scholar
  36. A. Steunou, S. I. Jensen, E. Brecht et al., “Regulation of nif gene expression and the energetics of N2 fixation over the diel cycle in a hot spring microbial mat,” ISME Journal, vol. 2, no. 4, pp. 364–378, 2008. View at: Publisher Site | Google Scholar
  37. E. J. Feil, E. C. Holmes, D. E. Bessen et al., “Recombination within natural populations of pathogenic bacteria: short-term empirical estimates and long-term phylogenetic consequences,” Proceedings of the National Academy of Sciences of the United States of America, vol. 98, no. 1, pp. 182–187, 2001. View at: Publisher Site | Google Scholar
  38. J. E. Clarridge, “Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases,” Clinical Microbiology Reviews, vol. 17, no. 4, pp. 840–862, 2004. View at: Publisher Site | Google Scholar

Copyright © 2014 Vinicius Godoy Cerezer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

2234 Views | 652 Downloads | 4 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.