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Memórias do Instituto Oswaldo Cruz

Print version ISSN 0074-0276On-line version ISSN 1678-8060

Mem. Inst. Oswaldo Cruz vol.111 no.1 Rio de Janeiro Jan. 2016

http://dx.doi.org/10.1590/0074-02760150314 

ARTICLES

Polyphasic characterisation of Burkholderia cepaciacomplex species isolated from children with cystic fibrosis

Fernando José Vicenzi1  2 

Marcelo Pillonetto3  4 

Helena Aguilar Peres Homem de Mello de Souza5 

Jussara Kasuko Palmeiro2  5 

Carlos Antônio Riedi6 

Nelson Augusto Rosario-Filho6 

Libera Maria Dalla-Costa2  5  + 

1Laboratório Municipal de Curitiba, Seção de Imunoquímica, Curitiba, PR, Brasil

2Faculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Principe, Curitiba, PR, Brasil

3Pontifícia Universidade Católica do Paraná, Escola de Saúde e Biociências, Curso de Farmácia, Departamento de Microbiologia, Curitiba, PR, Brasil

4Laboratório Central do Estado do Paraná, Seção de Biologia Molecular, Curitiba, PR, Brasil

5Universidade Federal do Paraná, Faculdade de Medicina, Hospital de Clínicas, Seção de Bacteriologia, Curitiba, PR, Brasil

6Universidade Federal do Paraná, Faculdade de Medicina, Departamento de Pediatria, Curitiba, PR, Brasil

ABSTRACT

Cystic fibrosis (CF) patients with Burkholderia cepacia complex (Bcc) pulmonary infections have high morbidity and mortality. The aim of this study was to compare different methods for identification of Bcc species isolated from paediatric CF patients. Oropharyngeal swabs from children with CF were used to obtain isolates of Bcc samples to evaluate six different tests for strain identification. Conventional (CPT) and automatised (APT) phenotypic tests, polymerase chain reaction (PCR)-recA, restriction fragment length polymorphism-recA, recAsequencing, and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) were applied. Bacterial isolates were also tested for antimicrobial susceptibility. PCR-recA analysis showed that 36 out of the 54 isolates were Bcc. Kappa index data indicated almost perfect agreement between CPT and APT, CPT and PCR-recA, and APT and PCR-recA to identify Bcc, and MALDI-TOF and recAsequencing to identify Bcc species. The recAsequencing data and the MALDI-TOF data agreed in 97.2% of the isolates. Based on recA sequencing, the most common species identified were Burkholderia cenocepacia IIIA (33.4%),Burkholderia vietnamiensis (30.6%), B. cenocepaciaIIIB (27.8%), Burkholderia multivorans (5.5%), and B. cepacia (2.7%). MALDI-TOF proved to be a useful tool for identification of Bcc species obtained from CF patients, although it was not able to identify B. cenocepacia subtypes.

Key words: Burkholderia cepacia complex; cystic fibrosis; lung disease; Gram-negative bacterial infection; DNA sequence analyses; matrix-assisted laser desorption-ionisation mass spectrometry

Cystic fibrosis (CF) pathophysiology leads to an increased susceptibility to respiratory infections (Drevinek & Mahenthiralingam 2010). The Burkholderia cepacia complex (Bcc) prevalence rates in CF patients vary geographically and have been shown to be 1.8% in Belgium (De Boeck et al. 2004) and 5% in Canada (CFC 2015); in Brazilian children, the prevalence was 4% (Souza et al. 2006). CF patients with Bcc infection have high rates of morbidity and mortality (Drevinek & Mahenthiralingam 2010, LiPuma 2010). Bcc infections pose potential for patient-to-patient transmission, which can lead to the development of “cepacia syndrome,” a fatal necrotising pneumonia (Drevinek & Mahenthiralingam 2010).

Currently, Bcc includes 20 species; however, new species have been identified or reclassified over the years (Drevinek & Mahenthiralingam 2010, LiPuma 2010,Vandamme & Dawyndt 2011, Peeters et al. 2013, Smet et al. 2015). Burkholderia multivorans andBurkhol- deria cenocepacia were shown to be the prevalent species (Drevinek & Mahenthiralingam 2010, LiPuma 2010). Correct species identification of Bcc is essential for treating CF patients (Gilligan et al. 2006) because of interspecies variation in antimicrobial susceptibility (Leitão et al. 2008) and potential for patient-to-patient transmission (Drevinek & Mahenthiralingam 2010). However, accurate Bcc identification is challenging due to the phenotypic and genetic similarities among species.

Bcc species comprise phenotypically indistinguishable microorganisms with high genetic similarity (> 97.5%) that was determined using 16S rDNA sequencing (Coenye et al. 2001, Vandamme & Dawyndt 2011). Conversely, 16S rDNA sequencing assays cannot accurately discriminate among B. cepacia, B. cenocepacia, Burkholderia ambifaria, Burkholderia pyrrocinia, and Burkholderia anthina (Vermis et al. 2002b). Furthermore, recA sequencing data showed that the Bcc interspecies and intraspecies similarities were 94-95% and 98-99%, respectively (Vanlaere et al. 2008, Vandamme & Dawyndt 2011). Thus, Bcc inter and intraspecies discrimination is challenging.

The discriminatory power of recA sequencing method is better than 16S rDNA sequencing analysis because recA has enough nucleotide variability to enable differentiation of the main Bcc species isolated from CF patients (Mahenthiralingam et al. 2000).

Selective media culture and several methods, including phenotypic methods, conventional and automated methods, have been used for Bcc identification. However, reliable and accurate identification of Bcc requires the use of molecular assays such as polymerase chain reaction (PCR)-based assays, PCR-restriction fragment length polymorphism (RFLP-PCR), DNA sequencing, and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF). A study comparing the proficiency of these tests would be valuable for developing a multi-method approach with higher accuracy.

The aim of this study was to compare different methods for identification of Bcc species isolated from oropharyngeal swabs of paediatric CF patients.

SUBJECTS, MATERIALS AND METHODS

Bacterial samples - Oropharyngeal swabs were collected from 46 CF patients (aged 2-90 months) attended at the Cystic Fibrosis Outpatient Clinic of the Department of Paediatrics of the Federal University of Paraná (UFPR) Clinics Hospital from August 2003-February 2009 (Souza et al. 2006, Souza 2012) as previously described (Souza et al. 2006).

Fifty-four bacteria samples grown in B. cepacia selective agar (Henry et al. 1997), presumptively identified as Bcc by polymyxin B susceptibility, oxidase test, and lysine decarboxylation test, were included in the study. Bacteria isolates were kept at -80ºC until subjected to the methods studied.

Phenotypic identification - Fifty-four bacterial isolates were subjected to conventional phenotypic tests (CPT) and automated phenotypic tests (APT). CPT was performed as previously described (Schreckenberger et al. 2003). APT identification was carried out using GN ID cards in the Vitek® 2 Compact system (bioMérieux, USA).

Susceptibility testing - Minimum inhibitory concentrations (MICs) of ceftazidime (CAZ), meropenem (MER), levofloxacin (LEV), and sulfamethoxazole/trimethoprim (SUT) were performed (in 36 bacterial isolates) using the agar dilution test protocol described in Clinical and Laboratory Standards Institute (CLSI) M07-A09 (CLSI 2012) and by using interpretive criteria described in CLSI M100-S24 (CLSI 2014). Pseudomonas aeruginosa ATCC 27853 andEscherichia coli ATCC 25922 were used as control strains.

Extraction, purification, and quantification of bacterial DNA - Template DNA of the 54 bacterial isolates was obtained using post-boiling extraction technique (Navrátilová et al. 2013) for performing recA PCR amplification and RFLP-PCR (Mahenthiralingam et al. 2000). AccuPrep Genomic DNA Extraction kit (Bioneer Corporation, Korea) were used for the 36 bacterial isolates subject to recA sequencing. The DNA concentrations of samples were quantified using Nano Vue Plus (GE Healthcare Bio-Sciences Corp, USA) and adjusted to concentrations between 20-50 ng/µL.

PCR for recA - Primers BCR1 (5′→3′TGAGCCGCCGCAAGAAGAA) and BCR2 (5′→3′CTCTTCCATTTCGTCCTCCGC) (Mahenthiralingam et al. 2000) were used for the identification of Bcc. PCR mixture (50 µL) consisted of 1.5 mM MgCl2, 0.4 µM of each primer, 0.2 mM each deoxynucleoside triphosphate, 0.02 U/µL Taq DNA polymerase, 1× PCR buffer, 5 µL template DNA (20-50 ng/µL), and 35.5 µL of PCR-grade water. Amplification was performed using Techne TC-412 thermal cycler (Bibby Scientific Ltd, UK) under the following conditions: 1 cycle at 95ºC for 5 min followed by 35 cycles at 95ºC for 30 s, 65ºC for 45 s, and 72ºC for 60 s. The final extension was performed using 1 cycle at 72ºC for 10 min. B. cepacia ATCC 17759 and P. aeru- ginosa ATCC 27853 were used as positive and negative controls, respectively. The Bcc-positive were confirmed by the presence of a band of approximately 1,040 bp.

PCR-RFLP for recA - Amplicons obtained with BCR1 and BCR2 primers were digested with HaeIII enzyme and each agarose gel (1.5%) electrophoresis profile was compared to those of the following control strains:B. cenocepacia IIIA, B. cenocepacia IIIB,Burkholderia stabilis, B. multivorans,B. cepacia, and Burkholderia vietnamiensis to identify the Bcc species (Mahenthiralingam et al. 2000).

recA sequencing - The recA amplicons were purified with ExoSAP-IT (Affymetrix, USA) and then sequenced using BigDye Terminator v.3.1 Cycle Sequencing Kit (Applied Biosystems, USA). The 1,043 bp recAgene was sequenced in two fragments of approximately 500 bp using a combination of primers BCR1 (5′→3′TGAGCCGCCGCAAGAAGAA) with BCR4 (5′→3′GCGCAGCGCCTGCGACAT) and BCR2 (5′→3′CTCTTCCATTTCGTCCGCCTC) with BCR3 (5′→3′GTCGCAGGCGCTGCGCAA) (Mahenthiralingam et al. 2000). The amplicons were purified using BigDye sequencing X Terminator Purification Kit (Applied Biosystems, Life Technologies Corporation) and sequenced. Each sample generated four sequences that were analysed by using Bioedit software (mbio.ncsu.edu/bioedit/bioedit.html). The obtained consensus sequence was then submitted to PubMLST Bcc allele recA database (pubmlst.org/bcc/).

MALDI-TOF analysis - MALDI-TOF protein extraction was performed as previously described (Khot et al. 2012). The extract was inoculated in duplicate, air-dried, and covered with 1 mL saturated α-cyano-4-hydroxycinnamic acid in 50% acetonitrile and 2.5% trifluoroacetic acid solution. Mass spectra were determined by using Bruker Daltonics Microflex LT instrument with MALDI Biotyper 3.0 software (Bruker Daltonics, Germany), previously calibrated with Bruker Bacterial Test Standard (Escherichia coliDH5α) and the mass spectra were generated using a mass range of 2–kDa obtained by ionisation of 240 shots. Species identification and genus were obtained when the scores were ≥ 2.0 and between ≥ 1.7 and < 2.0, respectively, as recommended by the manufacturer. B. cepacia ATCC 25608, P. aeruginosa ATCC 27853, and E. coli ATCC 25922 were used as controls.

Statistical analyses - The analysis of agreement between the methods was performed using the kappa (k) test with criteria outlined by Landys & Koch (1977): poor agreement (k < 0), slight agreement (k: 0.01-0.2), reasonable agreement (k: 0.21-0.40), moderate agreement (k: 0.41-0.60), substantial agreement (k: 0.61-0.80), and almost perfect agreement (k: 0.81-1.00). APT and CPT proficiency analyses were performed using contingency table or 2×2 matrix.

Ethics - The study design and the consent form were approved by the Clinics Hospital/UFPR Institutional Ethical Review Board.

RESULTS

Thirty-six out of the fifty-four preliminarily identified Bcc strains were confirmed as Bcc by using recA PCR amplification. The discordancy in Bcc identification was highlighted by comparative analysis of the findings of the five methodologies (CPT, APT, recA PCR, recAsequencing, and MALDI-TOF) (Table I). Notably, identification of one bacterial isolate did not agree by different techniques: Bordetella spp by CPT, Cupriavidus pauculus by APT, and as B. cepacia by bothrecA sequencing method and MALDI-TOF. One strain of B. vietnamiensis could not be conclusively identified by using CPT (Table I).

TABLE I Burkholderia cepacia complex (Bcc) identification data obtained by using different methodologies 

Patient Isolate CPT APT PCR recA Seq.RecA PubMLST Bcc database MALDI-TOF Allele recA RFLP
1 BC-48-FC Bordetella sp. Cupriavidus pauculus Bcc B. cenocepacia IIIB B. cenocepacia 15 F
BC-5-FC Bcc Bcc Bcc B. cepacia B. cepacia 37 E
2 BC-28-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a F
BC-54-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a F
3 BC-25-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
4 BC-32-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
5 BC-46-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a C
6 BC-10-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14 A
BC-15-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
7 BC-1-FC Bcc Bcc Bcc B. multivorans B. multivorans 81a D
BC-20-FC Bcc Bcc Bcc B. multivorans B. multivorans 81a D
8 BC-11-FC Bcc Bcc Bcc B. vietnamiensis B. cenocepacia 23a H
BC-18-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-19-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23 H
BC-21-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-29-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-42-FC Inconclusive Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-58-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-59-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
BC-7-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 23a H
9 BC-27-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a F
10 BC-33-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-3-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
11 BC-36-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-56-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a C
BC-60-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a C
BC-61-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 122 C
12 BC-2-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 48a I
13 BC-50-FC Bcc Bcc Bcc B. vietnamiensis B. vietnamiensis 48a I
14 BC-22-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 15a F
15 BC-34-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-38-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-39-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-41-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
BC-57-FC Bcc Bcc Bcc B. cenocepacia IIIA B. cenocepacia 14a A
16 BC-52-FC Bcc Bcc Bcc B. cenocepacia IIIB B. cenocepacia 49a B

a: exact recA allele match; APT: automated phenotypic tests; CPT: conventional phenotypic tests; MALDI-TOF: matrix-assisted laser desorption ionization-time of flight; PCR: polymerase chain reaction; RFLP: restriction fragment length polymorphism.

The recA sequencing data and MALDI-TOF data, for the majority of the 36 strains, were in agreement and corroborated with Bcc identification data. However, one strain identified as B. vietnamiensis byrecA sequencing was identified as B. cenocepacia by MALDI-TOF (Table I).

The identification data obtained by the aforementioned methods were used for performing comparative analyses to assess whether Bcc or Bcc genomic variants were identified consistently. The concordance between phenotypic test data (CPT vs. APT) and that among different tests was also assessed (Table II).

TABLE II Evaluation of agreement among methods 

Tests (n)a k SE Agreementb
CPT vs. APT (54) 0.833 0.080 Almost perfect agreement
CPT vs. recA PCRc(54) 0.833 0.080 Almost perfect agreement
APT vs. recA PCR (54) 0.921 0.055 Almost perfect agreement
MALDI-TOF vs. recASeqd (36) 0.942 0.057 Almost perfect agreement
RFLPe vs. recA Seq (36) 0.592 0.099 Moderate agreement

a: number of isolates tested by each test;b: adapted interpretation criteria (Landis & Koch 1977);c: amplification of recA;d: sequencing of recA;e: HaeIII-restriction fragment length polymorphism (RFLP) recA; APT: automated phenotypic tests; CPT: conventional phenotypic tests; k: kappa index; MALDI-TOF: matrix-assisted laser desorption ionization-time of flight; PCR: polymerase chain reaction; SE: standard error.

RecA amplification data showed almost perfect agreement with CPT data (k: 0.833) and with APT data (k: 0.921). In addition, MALDI-TOF data was also in almost perfect agreement with recA sequencing data (k: 0.942). However, PCR-RFLP and recA sequencing data presented moderate agreement (k: 0.592). The phenotypic data and the recAamplification data were also compared. CPT and APT had assay specificity of 94.44% and 97.62%, respectively (Table III). Furthermore, the assay sensitivity of CPT and APT were 81.25% and 100%, respectively (Table III).

TABLE III A comparative assessment of automated phenotypic tests (APT) and conventional phenotypic tests (CPT) proficiency for Burkholderia cepacia complex (Bcc) identification 

Test Sensitivity (%) Specificity (%) PPV (%) NPV (%)
APT 97.62 100 100 94.12
CPT 94.44 81.25 91.89 86.67

analysis performed with 54 isolates presumptively identified as Bcc. NPV: negative predictive value; PPV: positive predictive value.

PCR-RFLP analysis of 36 isolates resulted in nine different restriction profiles. Three different patterns (B, C, and F) were obtained for B. cenocepacia IIIB and one for B. cenocepacia IIIA (pattern A). Pattern D was associated with B. multivorans. The pattern E was linked with B. cepacia. Two patterns (H and I) were related to B. vietnamiensis. The pattern G corresponded to C12B. stabilis control.

Our data showed prevalence rate of 33.4% (12/36) for B. cenocepaciaIIIA, 30.6% (11/36) for B. vietnamiensis, 27.8% (10/36) forB. cenocepacia IIIB, 5.5% (2/36) for B. multivorans, and 2.7% (1/36) for B. cepacia.

Antimicrobial susceptibility testing data presented as follows: the B. cepacia isolate was susceptible to all antimicrobial agents tested; allB. cenocepacia (22/22) were susceptible to CAZ, LEV, and MER, and 68.2% (15/22) were susceptible to SUT; all B. multi-vorans(2/2) showed sensitivity to LEV, CAZ, and MER, but presented resistance to SUT; allB. vietnamiensis (11/11) were sensitive to LEV, 81.8% (9/11)B. vietna- miensis were sensitive to CAZ, 90.9% (10/11)B. vietnamiensis isolates were sensitive to MER, and 72.7% (8/11) B. vietnamiensis isolates were sensitive to SUT.

DISCUSSION

Owing to the similarity in phenotypic characteristics of Bcc species, interspecies distinction is challenging (Vandamme & Dawyndt 2011). A comparative analysis between CPT and APT was performed using k test and the results indicated that the findings were in agreement; however, it is important to note that the quality of the CPT results depends on the experience and expertise of the microbiologist. A comparative analysis of phenotypic test data andrecA amplification data indicated that CPT and APT data were in agreement with recA amplification data; however, the positive predictive value, specificity, and the k coefficient of APT was higher than that of CPT. Thus, APT may be a better test than CPT for Bcc identification. Although APT cannot adequately perform Bcc interspecies distinction, it could be used for Bcc identification in laboratories lacking molecular biology facilities.

MALDI-TOF proved to be a useful tool for identification of Bcc species obtained from CF patients, although it was not able to identify B. cenocepaciasubtypes. This finding corroborated those from other studies (Bittar & Rolain 2010, Fehlberg et al. 2013). MALDI-TOF is a rapid and single step assay that does not require personnel with assay expertise. Furthermore, MALDI-TOF andrecA sequencing assays have comparable Bcc identification accuracy (Bittar & Rolain 2010, Fehlberg et al. 2013).

Studies have shown that recA PCR using species-specific primers is not sensitive and specific (Dalmastri et al. 2005, Mahenthiralingam et al. 2008, Vandamme & Dawyndt 2011) and sequencing is required for the final identification (Mahenthiralingam et al. 2002, Vermis et al. 2002a). Comparison between PCR-RFLP and recA sequencing data indicates only moderate correlation between the findings of the two methods. Other studies have shown thatHaeIII RFLP patterns insufficiently discriminated B. cepacia, B. cenocepacia, and B. stabilis(Vanlaere et al. 2009, Navrátilová et al. 2013). Previous studies demonstrated the limited usefulness of PCR-RFLP technique for discriminating Bcc: the same variants may have different genomic restriction patterns, one restriction pattern can be associated with different species, and interlaboratory reproducibility is impaired because more than 70recA-HaeIII restriction patterns have been identified. In addition, the requirement of a standard control for each species and its subtypes become the precise identification of each isolate not practical (Vanlaere et al. 2008, Vandamme & Dawyndt 2011). Although the results suggest the optimal performance of MALDI-TOF of Bcc species identification, some studies indicate a certain difficulty of this method to differentiate some strains ofB. cepacia and B. cenocepacia (Vandamme & Dawyndt 2011, Navrátilová et al. 2013).

This study found the highest prevalence rates for B. cenocepacia and this finding was similar to those reported in epidemiological studies of patients with CF and Bcc (Mahenthiralingam et al. 2002, Drevinek & Mahenthiralingam 2010, LiPuma 2010). The prevalence of B. cenocepacia IIIA determined in our study was similar to that reported in Canada, UK, Italy, and other European countries, while IIIB is prevalent in United States of America (USA) (Mahenthiralingam et al. 2002). However, higher B. multivorans prevalence in CF centres in the UK and the USA has been recently reported and the increased prevalence may be due to the approaches taken in these centres to control B. cenocepacia outbreaks (Mahenthiralingam et al. 2008, Drevinek & Mahenthiralingam 2010, LiPuma 2010). B. vietnamiensis was identified as the second most prevalent genomic variant and these findings were in agreement with those of a previous study (LiPuma et al. 2001).

Antimicrobial susceptibility data showed that the isolates were highly resistant to SUT. Amongst the isolated Bcc species, B. vietnamiensis showed a higher percentage of resistance to all antibiotics than that displayed by the other species identified in our study and these findings contradicted previous findings (Vermis et al. 2003), which showed thatB. vietnamiensis was the most sensitive species among the 142 clinical and environmental Bcc samples. Prolonged and aggressive antibiotic therapy is required for treatment of patients with Bcc chronic infection (Leitão et al. 2008). Therefore, antibiotic susceptibility pattern data for local Bcc strains are important because these microorganisms have intrinsic resistance and develop in vivo resistance to several classes of antimicrobials and thereby limit the effectiveness of empirical antibiotic therapy (Drevinek & Mahenthiralingam 2010). In conclusion, a polyphasic approach that combines biochemical and molecular tests is required to accurate identification of Bcc species infecting CF patients. In the studied population, B. cenocepacia was the prevalent species, predominantly IIIA subtype. Identification by MALDI-TOF and sequencing of recA agreed in 97.2% of the isolates. Although MALDI-TOF results completely agree with the results of recAsequencing for the majority of the strains, it proved not to be able to identifyB. cenocepacia subtypes. Between the two phenotypic assays, APT was determined to be a better analytical method than CPT was and can be used in laboratories without molecular assay facilities. However, phenotypic assays were not useful for Bcc species differentiation. B. vietnamiensis was the Bcc species resistant to the higher number of antimicrobials. SUT was the antimicrobial with the highest percentage of resistance. The high degree of antimicrobial susceptibility obtained in our study may be due the fact that the studied strains are from outpatient, possibly undergoing minor antimicrobial selective pressure.

ACKNOWLEDGEMENTS

To Bruker Corporation of Brazil, for support in the MALDI-TOF.

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Received: August 21, 2015; Accepted: December 1, 2015

+ Corresponding author: libera.costa@hc.ufpr.br

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