Species identification and strain differentiation of clinical Candida isolates using the DiversiLab system of automated repetitive sequence-based PCR

Molecular Identification and Antifungal Susceptibility Patterns of Candida Species Isolated from Candidemia Patients in Yasuj, Southwestern Iran

Background: Candidemia is the most common systemic infection in hospitalized patients causing high mortality. Hence, the diagnosis of this infection in the early stage with appropriate antifungal therapy is paramount. Objectives: The study aimed at molecular identification of Candida species isolated from candidemia patients and evaluation of the in vitro antifungal susceptibility patterns of these strains to fluconazole, amphotericin B, and caspofungin. Methods: In the present study, 800 hospitalized patients who were suspected to have candidemia were sampled. Candida species were isolated and identified based on morphological characteristics and PCR-sequencing of the ITS1-5.8S-ITS2 region. Antifungal susceptibility tests for fluconazole, amphotericin B, and caspofungin were performed according to the Clinical and Laboratory Standards Institute protocol M27-A3. Also, clinical data were recorded from the patients' records. Results: Twenty-seven patients among the sample of hospitalized patients were found to have candidemia. A total of 33.3% of candidemia patients were treated with amphotericin B, in which case the mortality rate was 14.8%. The majority of patients (59%) were from the neonatal intensive care unit, and premature birth was the most common underlying condition. Candida albicans (n = 18; 66.6%) was the most common species isolated from blood cultures, followed by C. parapsilosis (n = 7; 25.9%), C. pelliculosa (n = 1; 3.7%), and C. tropicalis (n = 1; 3.7%). Only one C. albicans isolate resistant to fluconazole (minimum inhibitory concentration = 32 µg/mL). Conclusions: Generally, C. albicans has been the most frequent causative agent of candidemia. Resistance to antifungal drugs among candidemia agents was rare. Also, the identification of Candida isolates at the species level with in vitro antifungal susceptibility tests helps manage candidemia patients better and decrease the mortality rate among them.

Biodiversity and dynamics of cyanobacterial communities during blooms in temperate lake (Harsha Lake, Ohio, USA)

Cyanobacterial blooms are intensifying global ecological hazards. The fine structure and dynamics of bloom community are critical to understanding bloom development but little understood. Here, the questions whether dominant bloomers have high diversity and whether dominant OTUs (operational taxonomical units) compete with one another were addressed. 16S rRNA gene amplicons from an annual bloom at five locations in Harsha Lake (Ohio, USA) showed cyanobacteria were the dominant phylum, and co-existing major bacterial phyla included Proteobacteria, Bacteroidetes, Actinoacteria, and Verrucomicrobia. On the genus level, the initial dominance by Dolichospermum in June yielded to Planktothrix in July, which were replaced by Microcystis and Cylindrospermopsis in August throughout the bloom. Based on the number of verified unique OTUs (a within-genus biodiversity metric), dominant genera tended to have high within-genus diversity. For example, Dolichospermum had 57 unique OTUs, Planktothrix had 36, Microcystis had 12, and Cylindrospermopsis had 4 unique OTUs. Interestingly, these different OTUs showed different dynamics and association with other OTUs. First, no between-OTU competitions were observed during the bloom cycle, and dominant OTUs were abundant throughout the bloom. Such biodiversity of OTUs and their dynamics were verified in Microcystis aeruginosa with two microcystin synthetase genes (mcyA and mcyG): the relative abundance of both genes varied during the bloom based on quantitative PCR. Two Dolichospermum circinale OTUs and one P. rubescens OTU were most abundant and persistently present throughout the entire bloom. Second, these OTUs differed in the OTUs they were associated with. Third, these OTUs tended to have different levels of association with the environmental factors, even they belonged to the same genera. These findings suggest the structure and dynamics of a cyanobacterial bloom community is complex, with only few OTUs dominating the bloom. Thus, high-resolution molecular characterization will be necessary to understand bloom development.

Yeast identification by sequencing, biochemical kits, MALDI-TOF MS and rep-PCR DNA fingerprinting

No study has comprehensively evaluated the performance of 28S nrDNA and ITS sequencing, commercial biochemical test kits, MALDI-TOF MS platforms, and the emerging rep-PCR DNA fingerprinting technology using a cohort of yeast strains collected from a clinical microbiology laboratory. In this study, using 71 clinically important yeast isolates (excluding Candida albicans) collected from a single centre, we determined the concordance of 28S nrDNA and ITS sequencing and evaluated the performance of two commercial test kits, two MALDI-TOF MS platforms, and rep-PCR DNA fingerprinting. 28S nrDNA and ITS sequencing showed complete agreement on the identities of the 71 isolates. Using sequencing results as the standard, 78.9% and 71.8% isolates were correctly identified using the API 20C AUX and Vitek 2 YST ID Card systems, respectively; and 90.1% and 80.3% isolates were correctly identified using the Bruker and Vitek MALDI-TOF MS platforms, respectively. Of the 18 strains belonging to the Candida parapsilosis species complex tested by DiversiLab automated rep-PCR DNA fingerprinting, all were identified only as Candida parapsilosis with similarities ≥93.2%, indicating the misidentification of Candida metapsilosis and Candida orthopsilosis. However, hierarchical cluster analysis of the rep-PCR DNA fingerprints of these three species within this species complex formed three different discrete clusters, indicating that this technology can potentially differentiate the three species. To achieve higher accuracies of identification, the databases of commercial biochemical test kits, MALDI-TOF MS platforms, and DiversiLab automated rep-PCR DNA fingerprinting needs further enrichment, particularly for uncommonly encountered yeast species.

The identification of fungi collected from the ceca of commercial poultry

Under normal conditions, fungi are ignored unless a disease/syndrome clinical signs are reported. The scientific communities are largely unaware of the roles fungi play in normal production parameters. Numerous preharvest interventions have demonstrated that beneficial bacteria can play a role in improving productions parameters; however, most researchers have ignored the impact that fungi may have on production. The goal of the present study was to record fungi recovered from commercial broiler and layer houses during production. Over 3,000 cecal samples were isolated using conventional culture methodology and over 890 samples were further characterized using an automated repetitive sequence-based PCR (rep-PCR) methodology. Eighty-eight different fungal and yeast species were identified, including Aspergillus spp., Penicillium spp., and Sporidiobolus spp, and 18 unknown genera were separated using rep-PCR. The results from the present study will provide a normal fungi background genera under commercial conditions and will be a stepping stone for investigating the impact of fungi on the gastrointestinal tract and on the health of poultry.

Identification and molecular epidemiology of dermatophyte isolates by repetitive-sequence-PCR-based DNA fingerprinting using the DiversiLab system in Turkey

Dermatophyte species, isolation and identification in clinical samples are still difficult and take a long time. The identification and molecular epidemiology of dermatophytes commonly isolated in a clinical laboratory in Turkey by repetitive sequence-based PCR (rep-PCR) were assessed by comparing the results with those of reference identification. A total of 44 dermatophytes isolated from various clinical specimens of 20 patients with superficial mycoses in Kayseri and 24 patients in Hatay were studied. The identification of dermatophyte isolates was based on the reference identification and rep-PCR using the DiversiLab System (BioMerieux). The genotyping of dermatophyte isolates from different patients was determined by rep-PCR. In the identification of dermatophyte isolates, agreement between rep-PCR and conventional methods was 87.8 % ( 36 of 41). The dermatophyte strains belonged to four clones (A -D) which were determined by the use of rep-PCR. The dermatophyte strains in Clone B, D showed identical patterns with respect to the region. In conclusion, rep-PCR appears to be useful for evaluation of the identification and clonal relationships between Trichophyton rubrum species complex and Trichophyton mentagrophytes species complex isolates. The similarity and diversity of these isolates may be assessed according to different regions by rep-PCR.

Long-Term Rasamsonia argillacea Complex Species Colonization Revealed by PCR Amplification of Repetitive DNA Sequences in Cystic Fibrosis Patients

The aim of this work was to document molecular epidemiology of Rasamsonia argillacea species complex isolates from cystic fibrosis (CF) patients. In this work, 116 isolates belonging to this species complex and collected from 26 CF patients and one patient with chronic granulomatous disease were characterized using PCR amplification assays of repetitive DNA sequences and electrophoretic separation of amplicons (rep-PCR). Data revealed a clustering consistent with molecular species identification. A single species was recovered from most patients. Rasamsonia aegroticola was the most common species, followed by R. argillacea sensu stricto and R. piperina, while R. eburnea was not identified. Of 29 genotypes, 7 were shared by distinct patients while 22 were patient specific. In each clinical sample, most isolates exhibited an identical genotype. Genotyping of isolates recovered from sequential samples from the same patient confirmed the capability of R. aegroticola and R. argillacea isolates to chronically colonize the airways. A unique genotype was recovered from two siblings during a 6-month period. In the other cases, a largely dominant genotype was detected. Present results which support the use of rep-PCR for both identification and genotyping for the R. argillacea species complex provide the first molecular evidence of chronic airway colonization by these fungi in CF patients.

Conventional Morphology Versus PCR Sequencing, rep-PCR, and MALDI-TOF-MS for Identification of Clinical Aspergillus Isolates Collected Over a 2-Year Period in a University Hospital at Kayseri, Turkey

BACKGROUND

Aspergillus species cause a wide range of diseases in humans, including allergies, localized infections, or fatal disseminated diseases. Rapid detection and identification of Aspergillus spp. facilitate effective patient management. In the current study we compared conventional morphological methods with PCR sequencing, rep-PCR, and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for the identification of Aspergillus strains.

MATERIALS AND METHODS

A total of 24 consecutive clinical isolates of Aspergillus were collected during 2012-2014. Conventional morphology and rep-PCR were performed in our Mycology Laboratory. The identification, evaluation, and reporting of strains using MALDI-TOF-MS were performed by BioMérieux Diagnostic, Inc. in Istanbul. DNA sequence analysis of the clinical isolates was performed by the BMLabosis laboratory in Ankara.

RESULTS

Samples consisted of 18 (75%) lower respiratory tract specimens, 3 otomycosis (12.5%) ear tissues, 1 sample from keratitis, and 1 sample from a cutaneous wound. According to DNA sequence analysis, 12 (50%) specimens were identified as A. fumigatus, 8 (33.3%) as A. flavus, 3 (12.5%) as A. niger, and 1 (4.2%) as A. terreus. Statistically, there was good agreement between the conventional morphology and rep-PCR and MALDI-TOF methods; kappa values were κ = 0.869, 0.871, and 0.916, respectively (P < 0.001).

CONCLUSION

The good level of agreement between the methods included in the present study and sequence method could be due to the identification of Aspergillus strains that were commonly encountered. Therefore, it was concluded that studies conducted with a higher number of isolates, which include other Aspergillus strains, are required.

Semi-automated repetitive sequence-based PCR amplification for species of the Scedosporium apiospermum complex

PURPOSE

The Scedosporium apiospermum species complex usually ranks second among the filamentous fungi colonizing the airways of patients with cystic fibrosis (CF), but little is known about the molecular epidemiology of the airway colonization.

METHODS

Polymerase chain reaction (PCR) amplification of repetitive sequences (rep-PCR) was applied to the retrospective analysis of a panel of isolates already studied by random amplification of polymorphic DNA (RAPD) and comprising 63 isolates recovered from sputa from 9 CF patients. Results were compared to those obtained previously by RAPD, and herein by beta-tubulin (TUB) gene sequencing and Multilocus Sequence Typing (MLST).

RESULTS

Within the panel of isolates studied,S. apiospermum sensu stricto and Scedosporium boydii, as expected, were the predominant species with 21 and 36 isolates, respectively. Four isolates from one patient were identified as Scedosporium aurantiacum, whereas two isolates belonged to the Pseudallescheria ellipsoidea subgroup of S. boydii rep-PCR analysis of these isolates clearly differentiated the three species and P. ellipsoidea isolates, whatever the rep-PCR kit used, and also permitted strain differentiation. When using the mold primer kit, results from rep-PCR were in close agreement with those obtained by MLST. For both S. apiospermum and S. boydii, 8 genotypes were differentiated by rep-PCR and MLST compared to 10 by RAPD. All S. aurantiacum isolates shared the same RAPD genotype and exhibited the same rep-PCR profile and sequence type.

CONCLUSIONS

These results illustrate the efficacy of rep-PCR for both species identification within the S. apiospermum complex and genotyping for the two major species of this complex.Abstract presentation: Part of this work was presented during the 18th Congress of the International Society for Human and Animal Mycology, Berlin (Germany), June 2012.S. Giraud, C. Godon, A. Rougeron, J.P. Bouchara and L. Favennec are members of the ECMM/ISHAM working group on Fungal respiratory infections in Cystic Fibrosis(Fri-CF).

Molecular epidemiology of Cryptococcus neoformans and Cryptococcus gattii in China between 2007 and 2013 using multilocus sequence typing and the DiversiLab system

The purpose of this study was to investigate the molecular characteristics of 83 clinical Cryptococcus neoformans/C. gattii species complex isolated in Beijing, China, between 2007 and 2013. Restriction fragment length polymorphism of the gene URA5 (URA5-RFLP), multilocus sequence typing (MLST), and automated repetitive polymerase chain reaction (rep-PCR; DiversiLab system) were performed to genotype these cryptococcal isolates. There was an excellent correlation amongst the three methods; however, PU157 was assigned as VNII according to URA5-RFLP, while it was classified as VNI by the DiversiLab system analysis. PU157 was finally identified as VNB by seven-locus MLST analysis. Moreover, though AD hybrids could not be processed by MLST, ideal results could be obtained by the DiversiLab system. The genotype VNI accounted for 95.2% (79/83) of isolates. Besides one strain of VNB, VNIII, and VGI each, a strain of VGII was detected in our study, which was isolated from a patient from the temperate region in North China. In addition, the most common MLST sequence type (ST) was ST5, accounting for 91.6% (76/83), followed by ST31, ST63, ST182, ST295, ST296, and ST332. ST295, ST296, and ST332 were new STs. Except for isolate PU157 (VNB), identical results were obtained quickly and accurately through the DiversiLab system compared to MLST and URA5-RFLP. The discovery of VNB and VGII in the temperate climate regions of China suggested that the population structure of C. neoformans and C. gattii should be explored more extensively. Our results also showed that the DiversiLab system can be used in the genotyping of C. neoformans and C. gattii.

Host factors and clinical outcomes of Candida colonization in critically ill patients

This study aimed to describe factors and outcomes associated with Candida colonization of critically ill patients. This was a cross-sectional study conducted over 2 weeks in the intensive care unit (ICU) of a tertiary care hospital at the Texas Medical Center, Houston, TX. All Candida samples were prospectively collected with demographic and clinical data collected retrospectively. We examined 48 patients, 32 (67%) were colonized with Candida spp; 25 (52.1%) patients were isolated with Candida albicans and 18 (37.5%) were isolated with a non-albicans species, mostly commonly Candida glabrata. A multivariate analysis identified proton pump inhibitor administration at admission to ICU [odds ratio 5.66; 95% confidence interval 1.12-28.5] as associated with colonization. Patients colonized with Candida had a significantly longer length of ICU and hospital stays (7.6 ± 6.6 vs. 4.2 ± 2.6 days, P = 0.01 and 14.9 ± 12.9 vs. 7.5 ± 6.7 days, P = 0.02, respectively). Clonality testing between C. albicans and C. glabrata strains identified indistinguishable strains among the patient cohort. These data provide additional information on Candida colonization in critically ill patients.

Development of multiplex loop-mediated isothermal amplification assays to detect medically important yeasts in dairy products

Rapid detection of yeast contamination is important in the food industry. We have developed loop-mediated isothermal amplification (LAMP) assays to detect the emerging opportunistic pathogenic yeasts: Candida albicans, Candida glabrata, Candida tropicalis, the Candida parapsilosis group, Trichosporon asahii, and Trichosporon mucoides. These yeasts may cause deep-seated candidiasis or trichosporonosis. Four LAMP primer sets specific for Candida were designed to target the internal transcribed spacer 2 (ITS2) region between the 5.8S and 26S rRNA genes, and two LAMP primer sets specific for Trichosporon were designed to target the intergenic spacer 1 (IGS1) region between the 26S and 5S rRNA genes. The LAMP assays could detect these yeasts in a range between 10(0) and 10(3)  cells mL(-1) in a contaminated dairy product within 1 h. We also developed multiplex LAMP assays to detect these Candida or Trichosporon species in a single reaction. Multiplex LAMP assays can detect contamination if at least one of the target species is present; they are more time- and cost-efficient than conventional methods and could detect target yeasts with sensitivity close to that of the LAMP assays. Multiplex LAMP assays established in this study can be used as a primary screening method for yeast contamination in food products.

Possible transmission of Candida albicans on an intensive care unit: genotype and temporal cluster analyses

BACKGROUND

Nosocomial transmission of Candida spp. has not been fully explored and previous studies have shown conflicting results.

AIM

To evaluate the possible nosocomial transmission of Candida spp. on an intensive care unit (ICU).

METHODS

A prospective study was conducted for a period of 19 months, including all patients on our ICU with growth of Candida spp. from surveillance and directed cultures. Molecular typing with repetitive sequence-based polymerase chain reaction was used to define genotype relationships between the Candida albicans and Candida glabrata isolates. Candida isolates obtained from blood cultures taken from patients in our county outside the ICU were used as a reference. Temporal cluster analysis was performed to evaluate genotype distribution over time.

FINDINGS

Seventy-seven patients with 78 ICU stays, representing 12% of all ICU stays, were found to harbour 180 isolates of Candida spp. Molecular typing revealed 27 C. albicans genotypes and 10 of C. glabrata. Possible clustering, indicated by overlapping stays of patients with indistinguishable candida genotypes, was observed on seven occasions with C. albicans and on two occasions with C. glabrata. Two C. albicans genotypes were found significantly more often in the ICU group compared with the reference group. Moreover, C. albicans genotypes isolated from more than one patient were significantly more often found in the ICU group. Temporal cluster analysis revealed a significantly increased number of pairs with indistinguishable genotypes at a 21-day interval, indicating clustering.

CONCLUSION

This study indicates possible transmission of C. albicans between ICU patients based on genotyping and temporal cluster analysis.

Microsatellite genotyping clarified conspicuous accumulation of Candida parapsilosis at a cardiothoracic surgery intensive care unit

Candida parapsilosis has become a significant cause of invasive fungal infections in seriously ill patients. Nosocomial outbreaks through direct and indirect contact have been described. The aim of this study was the molecular characterization of what appeared to be an ongoing C. parapsilosis outbreak at the cardiothoracic intensive care unit of the University Hospital of Vienna between January 2007 and December 2008. Using two different molecular typing methods-automated repetitive sequence-based PCR (DiversiLab; bioMérieux) and microsatellite genotyping-we investigated the genetic relationship of 99 C. parapsilosis isolates. Eighty-three isolates originated from the cardiothoracic intensive care unit, while 16 isolates were random control isolates from other intensive care units and a different Austrian hospital. The 99 C. parapsilosis isolates analyzed by repetitive-element PCR all showed identical genotypes, suggesting an ongoing outbreak. In contrast, microsatellite genotyping showed a total of 56 different genotypes. Two major genotypes were observed in 10 and 15 isolates, respectively, whereas another 13 genotypes were observed in 2 to 4 isolates each. Forty-one genotypes were observed only once. Closely related genotypes that differed in only a single microsatellite marker were grouped into clonal complexes. When it comes to C. parapsilosis, microsatellite genotyping is a more discriminative method than repetitive-element PCR genotyping to investigate outbreaks.

Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology

Clinical microbiology laboratories worldwide have historically relied on phenotypic methods (i.e., culture and biochemical tests) for detection, identification and characterization of virulence traits (e.g., antibiotic resistance genes, toxins) of human pathogens. However, limitations to implementation of molecular methods for human infectious diseases testing are being rapidly overcome allowing for the clinical evaluation and implementation of diverse technologies with expanding diagnostic capabilities. The advantages and limitation of molecular techniques including real-time polymerase chain reaction, partial or whole genome sequencing, molecular typing, microarrays, broad-range PCR and multiplexing will be discussed. Finally, terminal restriction fragment length polymorphism (T-RFLP) and deep sequencing are introduced as technologies at the clinical interface with the potential to dramatically enhance our ability to diagnose infectious diseases and better define the epidemiology and microbial ecology of a wide range of complex infections.

[Invasive fungal disease: conventional or molecular mycological diagnosis?]

Diagnosis of invasive mycoses is a difficult challenge due to the limitations and low sensitivity of traditional microbiology methods which lead to diagnostic and therapeutic delays. The aim of this review is to summarise the state of the art of the molecular diagnosis of invasive fungal disease and to clarify its current role in the clinical practice. Conventional microbiological methods could be complemented with molecular methods in the rapid and definitive identification of fungal isolates. Biomarkers (β-glucan, galactomannan) are very useful in immunocompromised patients and have been included as probable invasive mycoses by the EORTC/MSG. Nucleic acid detection is currently used as a complementary tool for diagnosis. However, PCR can be very useful in mould invasive mycoses. Finally, the combined detection using biomarkers can improve the diagnosis. However, their applicability in the microbiology laboratory is not so easy and further studies are required for the appropriate evaluation of its clinical usefulness.

Evaluation of repetitive sequence PCR and PCR-mass spectrometry for the identification of clinically relevant Candida species

The application of molecular diagnostic methods may improve the timeliness and accuracy with which fungi are identified. A total of 76 well-characterized reference strains of clinically relevant Candida species and 61 clinical Candida isolates were tested by repetitive sequence PCR (rep-PCR) and PCR followed by electrospray ionization mass spectrometry (PCR/ESI-MS) and results compared against internal transcribed spacer (ITS) ribosomal RNA gene sequencing as a reference standard. Both rep-PCR and PCR/ESI-MS correctly identified 51 isolates to the species level. When method performance was evaluated based only on genospecies included in the reference libraries, both methods yielded an accuracy of 98.1%. It may be concluded that rep-PCR and PCR/ESI-MS are highly effective at identifying clinical isolates of Candida to the species level. These methods hold promise for improving the speed and accuracy of identification of Candida spp. in clinical mycology laboratories.

Typing of Campylobacter jejuni and Campylobacter coli isolated from live broilers and retail broiler meat by flaA-RFLP, MLST, PFGE and REP-PCR

We analyzed 100 Campylobacter spp. isolates (C. jejuni and C. coli) from Grenada, Puerto Rico and Alabama, which were collected from live broilers or retail broiler meat. We analyzed these isolates with four molecular typing methods: restriction fragment length polymorphism of the flaA gene (flaA-RFLP), multilocus sequence typing (MLST), pulsed-field gel electrophoresis (PFGE), and automated repetitive extragenic palindromic polymerase chain reaction (REP-PCR) using the DiversiLab system. All methods performed similarly for the typing of C. jejuni and C. coli. The DNA extraction method appears to influence the results obtained with REP-PCR. This method was better for the typing of C. jejuni than C. coli, however both REP-PCR and flaA-RFLP generated types that were indistinguishable between C. jejuni and C. coli and appeared to be random, without any relationship to species, location, or source of isolates. PFGE and MLST generated typing results that had a better correlation with the geographic location of the isolates and showed higher concordance with the Wallace coefficient. The adjusted Rand coefficient did not show higher concordance among the methods, although the PFGE/MLST combination exhibited the highest concordance. PFGE and MLST revealed a better discriminatory power for C. coli isolates than REP-PCR or flaA-RFLP. The use of readily available online tools to calculate the confidence interval of the Simpson's index of diversity and the adjusted Rand and Wallace coefficients helped estimate the discriminatory power of typing methods. Further studies using different C. jejuni and C. coli strains may expand our understanding of the benefits and limitations of each of these typing methods for epidemiological studies of Campylobacter spp.

Discrimination of Scedosporium prolificans against Pseudallescheria boydii and Scedosporium apiospermum by semiautomated repetitive sequence-based PCR

The laboratory identification of Pseudallescheria and Scedosporium isolates at the species level is important for clinical and epidemiological purposes. This study used semiautomated repetitive sequence-based polymerase chain reaction (rep-PCR) to identify Pseudallescheria/Scedosporium. Reference strains of Pseudallescheria boydii (n = 12), Scedosporium prolificans (n = 8), Scedosporium apiospermum (n = 9), and clinical/environmental isolates (P. boydii, 7; S. prolificans, 7; S. apiospermum, 7) were analyzed by rep-PCR. All clinical isolates were identified by morphological and phenotypic characteristics and by sequence analysis. Species identification of reference strains was based on the results of available databases. Rep-PCR studies were also conducted with various molds to differentiate Pseudallescheria/Scedosporium spp. from other commonly encountered filamentous fungi. All tested Pseudallescheria/Scedosporium isolates were distinguishable from the other filamentous fungi. All Scedosporium prolificans strains clustered within the cutoff of 85%, and species identification by rep-PCR showed an agreement of 100% with sequence analysis. However, several isolates of P. boydii and S. apiospermum did not cluster within the 85% cutoff with the same species by rep-PCR. Although the identification of P. boydii and S. apiospermum was not correct, the semiautomated rep-PCR system is a promising tool for the identification of S. prolificans isolates.

MALDI-TOF mass spectrometry proteomic phenotyping of clinically relevant fungi

Proteomics is particularly suitable for characterising human pathogens with high life cycle complexity, such as fungi. Protein content and expression levels may be affected by growth states and life cycle morphs and correlate to species and strain variation. Identification and typing of fungi by conventional methods are often difficult, time-consuming and frequently, for unusual species, inconclusive. Proteomic phenotypes from MALDI-TOF MS were employed as analytical and typing expression profiling of yeast, yeast-like species and strain variants in order to achieve a microbial proteomics population study. Spectra from 303 clinical isolates were generated and processed by standard pattern matching with a MALDI-TOF Biotyper (MT). Identifications (IDs) were compared to a reference biochemical-based system (Vitek-2) and, when discordant, MT IDs were verified with genotyping IDs, obtained by sequencing the 25-28S rRNA hypervariable D2 region. Spectra were converted into virtual gel-like formats, and hierarchical clustering analysis was performed for 274 Candida profiles to investigate species and strain typing correlation. MT provided 257/303 IDs consistent with Vitek-2 ones. However, amongst 26/303 discordant MT IDs, only 5 appeared "true". No MT identification was achieved for 20/303 isolates for incompleteness of database species variants. Candida spectra clustering agreed with identified species and topology of Candida albicans and Candida parapsilosis specific dendrograms. MT IDs show a high analytical performance and profiling heterogeneity which seems to complement or even outclass existing typing tools. This variability reflects the high biological complexity of yeasts and may be properly exploited to provide epidemiological tracing and infection dispersion patterns.

Comparison of a semi-automated rep-PCR system and multilocus sequence typing for differentiation of Salmonella enterica isolates

The accurate sub-typing of Salmonella enterica isolates is essential for epidemiological investigations and surveillance of Salmonella infections. Salmonella isolates are currently identified using the Kauffman-White serotyping scheme. Multilocus sequence typing (MLST) schemes have been developed for the major bacterial pathogens including Salmonella and have assisted in understanding the molecular epidemiology and population biology of these organisms. Recently, the DiversiLab rep-PCR system has been developed using micro-fluidic chips to provide standardized, semi-automated fingerprinting for pathogens including S. enterica. In the current study, 71 isolates of S. enterica, representing 21 serovars, were analyzed using MLST and the DiversiLab rep-PCR system. MLST was able to identify 31 sequence types (STs), while the DiversiLab system revealed 38 DiversiLab types (DTs). The rep-PCR distinguished isolates of different serovars and showed greater discriminatory power (0.95) than MLST typing (0.89). Rep-PCR exhibited 92% concordance with MLST and 90% with serotyping, while the concordance level of MLST typing with serotyping was 96%, representing a strong association. Comparison of rep-PCR profiles with those held in an online library database led to the accurate prediction of serovar in 63% of cases and resulted in inaccurate predictions for 10% of profiles. MLST and the rep-PCR system may provide useful additional informative techniques for the molecular identification of S. enterica. We conclude that the DiversiLab rep-PCR system may provide a rapid (less than 4h) and standardized method for sub-typing isolates of S. enterica.

High-throughput identification and quantification of Candida species using high resolution derivative melt analysis of panfungal amplicons

Fungal infections pose unique challenges to molecular diagnostics; fungal molecular diagnostics consequently lags behind bacterial and viral counterparts. Nevertheless, fungal infections are often life-threatening, and early detection and identification of species is crucial to successful intervention. A high throughput PCR-based method is needed that is independent of culture, is sensitive to the level of one fungal cell per milliliter of blood or other tissue types, and is capable of detecting species and resistance mutations. We introduce the use of high resolution melt analysis, in combination with more sensitive, inclusive, and appropriately positioned panfungal primers, to address these needs. PCR-based amplification of the variable internal transcribed regions of the rDNA genes generates an amplicon whose sequence melts with a shape that is characteristic and therefore diagnostic of the species. Simple analysis of the differences between test and reference melt curves generates a single number that calls the species. Early indications suggest that high resolution melt analysis can distinguish all eight major species of Candida of clinical significance without interference from excess human DNA. Candida species, including mixed and novel species, can be identified directly in vaginal samples. This tool can potentially detect, count, and identify fungi in hundreds of samples per day without further manipulation, costs, or delays, offering a major step forward in fungal molecular diagnostics.

Identification of pathogenic yeast species by polymerase chain reaction amplification of the RPS0 gene intron fragment

AIMS

This work focuses on the development of a method for the identification of pathogenic yeast. With this aim, we target the nucleotide sequence of the RPS0 gene of pathogenic yeast species with specific PCR primers. PCR analysis was performed with both the genomic DNA, whole cells of clinical isolates of Candida species and clinical samples.

METHODS AND RESULTS

A single pairs of primers, deduced from the nucleotide sequence of the RPS0 gene from pathogenic yeast, were used in PCR analysis performed with both the genomic DNA and whole cells of clinical isolates of Candida species and clinical samples. The primers designed are highly specific for their respective species and produce amplicons of the expected sizes and fail to amplify any DNA fragment from the other species tested. The set of primers was tested successfully for the identification of yeast from colonies, blood cultures and clinical samples. These results indicate that genes containing intron sequences may be useful for designing species-specific primers for the identification of fungal strains by PCR. The sensitivity of the method with genomic DNA was evaluated with decreasing DNA concentrations (200 ng to 1 pg) and different cell amounts (10(7)-10(5) cells).

CONCLUSION

The results obtained show that the amplification of RPS0 sequences may be suitable for the identification of pathogenic and other yeast species.

SIGNIFICANCE AND IMPACT OF THE STUDY

Identification of Candida species using molecular approaches with high discriminatory power is important in determining adequate measures for the interruption of transmission of this yeast. The approach described in this work is based on standard technology, and it is specific, sensitive and does not involve complex and expensive equipment. Furthermore, the method developed in this work not only can be used in eight yeast species, but also provides the basis to design primers for other fungi species of clinical, industrial or environmental interest.

Comparison of typing results obtained for methicillin-resistant Staphylococcus aureus isolates with the DiversiLab system and pulsed-field gel electrophoresis

We compared the results of typing methicillin-resistant Staphylococcus aureus (MRSA) isolates using the DiversiLab system (DL) to the results obtained using pulsed-field gel electrophoresis (PFGE). One hundred five MRSA isolates of PFGE types USA100 to USA1100 and the Brazilian clone, from the Centers for Disease Control and Prevention (CDC) and Project ICARE strain collections, were typed using DL. In addition, four unique sets of MRSA isolates from purported MRSA outbreaks that had been previously typed by DL, each consisting of six isolates (where five isolates were classified as indistinguishable by DL and one was an unrelated DL type) were typed by PFGE. DL separated the 105 MRSA isolates of known USA types into 11 clusters and six unique banding patterns. DL grouped most of the USA100, USA200, and USA1100 isolates into unique clusters. Multilocus sequence type 8 isolates (i.e., USA300 and USA500) often clustered together at >95% similarity in DL dendrograms. Nevertheless, USA300 and USA500 DL patterns could be distinguished using the pattern overlay function of the DL software. Among the hospital outbreak clusters, PFGE and DL identified the same "unrelated" organism in three of four sets. However, PFGE showed more pattern diversity than did DL, suggesting that two of the sets were less likely to represent true outbreaks. In summary, DL is useful for screening MRSA isolates to rule out potential outbreaks of MRSA in hospitals, but PFGE provides better discrimination of potential outbreak strains and is more useful for confirming strain relatedness and specific USA types.

Infections caused by Candida krusei in five transplant and two surgical patients

BACKGROUND

Candida krusei (Ck) may cause severe infections in immunocompromised hosts and is innately resistant to fluconazole.

PATIENTS AND METHODS

During an 18-month period, seven patients with Ck infection were identified at our center. All were treated in the transplant intensive care unit. Candida isolates were grown on Sabouraud agar, and chromosomal DNA was extracted; clonality was investigated using random amplified polymorphic DNA-polymerase chain reaction with primers M13, OPA-18, and OPE-18.

RESULTS

Among the patients with Ck infection, there were three pancreas recipients with intra-abdominal infection, one liver recipient with cholangitis, one lung recipient with pleural empyema, one patient with pleural empyema after esophageal perforation, and one case of pneumonia in a patient with a ventricular assist device. Treatment consisted of caspofungin (n = 3), voriconazole (n = 1), or a combination of the two (n = 2) together with surgery (n = 3) or pigtail catheter drainage (n = 3). One patient underwent drainage without antifungal treatment, and one patient did not have drainage. The infection was controlled in all cases. The patient with the assist device died from multiple organ dysfunction, the lung recipient died after four months from graft failure, and one pancreas graft was lost. Four patients (57%) harbored the same Ck strain.

CONCLUSION

Solid organ recipients seem to be at particular risk for Ck infections; clonal outbreaks may occur in intensive care units.

Reliability of Pseudomonas aeruginosa semi-automated rep-PCR genotyping in various epidemiological situations

The purpose of this study was to evaluate the possibility of using a semi-automated repetitive DNA sequences-based polymerase chain reaction (rep-PCR) for typing Pseudomonas aeruginosa isolates. rep-PCR profiles obtained by the DiversiLab system of 84 P. aeruginosa isolates from distinct epidemiological situations were obtained. rep-PCR groupings were in good agreement with the origin of these isolates. Linked rep-PCR profiles were observed for isolates recovered from a same family of cystic fibrosis (CF) patients, for the etiological agents of clustered cases of nosocomial infections, and for some isolates recovered from a same hospital room. rep-PCR and pulsed-field gel electrophoresis SpeI restricted genomic DNA (PFGE-SpeI) profiles were compared. In a few instances, rep-PCR revealed genetic divergences among isolates of a same group of PFGE-SpeI profiles. These divergences could reflect genetic drifts among closely related isolates, as illustrated by those observed between clinical and environmental isolates of a same group of PFGE-SpeI profiles. The interpretation of such differences will require further studies, but the rep-PCR analysis of P. aeruginosa diversity appeared to be an appropriate method to investigate infra-specific genetic relatedness.

Applications of the rep-PCR DNA fingerprinting technique to study microbial diversity, ecology and evolution

A large number of repetitive DNA sequences are found in multiple sites in the genomes of numerous bacteria, archaea and eukarya. While the functions of many of these repetitive sequence elements are unknown, they have proven to be useful as the basis of several powerful tools for use in molecular diagnostics, medical microbiology, epidemiological analyses and environmental microbiology. The repetitive sequence-based PCR or rep-PCR DNA fingerprint technique uses primers targeting several of these repetitive elements and PCR to generate unique DNA profiles or 'fingerprints' of individual microbial strains. Although this technique has been extensively used to examine diversity among variety of prokaryotic microorganisms, rep-PCR DNA fingerprinting can also be applied to microbial ecology and microbial evolution studies since it has the power to distinguish microbes at the strain or isolate level. Recent advancement in rep-PCR methodology has resulted in increased accuracy, reproducibility and throughput. In this minireview, we summarize recent improvements in rep-PCR DNA fingerprinting methodology, and discuss its applications to address fundamentally important questions in microbial ecology and evolution.