Species-specific polymorphisms in the noncoding internal transcribed spacer 2 (ITS2) region of the rRNA operon provide accurate identification of clinically significant yeasts. In this study, we tested the hypothesis that ITS1 noncoding regions contain diagnostically useful alleles. The length of ITS1 region PCR products amplified from 40 species (106 clinical strains, 5 reference strains, and 30 type strains) was rapidly determined with single-base precision by automated capillary electrophoresis. Polymorphisms in the PCR product length permitted 19 species to be distinguished by ITS1 alone, compared with 16 species distinguished by using only ITS2. However, combination of both ITS alleles permitted identification of 30 species (98% of clinical isolates). The remaining 10 species with PCR products of similar sizes contained unique ITS alleles distinguishable by restriction enzyme analysis. DNA sequence analysis of amplified ITS1 region DNA from 79 isolates revealed species-specific ITS1 alleles for each of the 40 pathogenic species examined. This provided identification of unusual clinical isolates, and 53 diagnostic ITS1 sequences were deposited in GenBank. Phylogenetic analyses based on ITS sequences showed a similar overall topology to 26S rRNA gene-based trees. However, different species with identical 26S sequences contained distinct ITS alleles that provided species identification with strong statistical support. Together, these data indicate that the analysis of ITS polymorphisms can reliably identify 40 species of clinically significant yeasts and that the capacity for identifying potentially new pathogenic species by using this database holds significant promise.The complexity of opportunistic fungal infections is increasing as more patients are adversely affected by an expanding diversity of yeasts. Invasive procedures or immunosuppression increases the risk of fungemia (24, 34), and drug-resistant strains have emerged (9, 21). Although Candida albicans is still the predominate agent of nosocomial infection, serious infections caused by other yeasts have increased in frequency (8,11,29,34). For example, species of Cryptococcus other than Cryptococcus neoformans, previously considered to be nonpathogenic saprophytes, have been reported to cause cryptococcosis (28). Adequate treatment of these infections depends on early detection and accurate identification of the pathogens. However, conventional identification by evaluation of morphological and physiological characteristics can be laborious, sometimes leads to incorrect classification and identification (2, 3, 13), and can be impeded by database limitations (4, 6).To develop a rapid molecular method for identifying yeasts, we recently analyzed the length and sequence polymorphisms in the DNA of noncoding internal transcribed spacer region 2 (ITS2) of the rRNA operon (2). ITS2 region polymorphisms permitted accurate identification of over 400 clinical strains representing 34 species of pathogenic yeasts. ITS2 region PCR product length determined by aut...

During infection, Salmonella transitions from an extracellular-phase (STEX, growth outside host cells) to an intracellular-phase (STIN, growth inside host cells): changes in gene expression mediate survival in the phagosome and modifies LPS and outer membrane protein expression, including altered production of FliC, an Ag recognized by immune CD4+ T cells. Previously, we demonstrated that systemic STIN bacteria repress FliC below the activation threshold of FliC-specific T cells. In this study, we tested the hypothesis that changes in FliC compartmentalization and bacterial responses triggered during the transition from STEX to STIN combine to reduce the ability of APCs to present FliC to CD4+ T cells. Approximately 50% of the Salmonella-specific CD4+ T cells from Salmonella-immune mice were FliC specific and produced IFN-γ, demonstrating the potent immunogenicity of FliC. FliC expressed by STEX bacteria was efficiently presented by splenic APCs to FliC-specific CD4+ T cells in vitro. However, STIN bacteria, except when lysed, expressed FliC within a protected intracellular compartment and evaded stimulation of FliC-specific T cells. The combination of STIN-mediated responses that reduced FliC bioavailability were overcome by dendritic cells (DCs), which presented intracellular FliC within heat-killed bacteria; however, this ability was abrogated by live bacterial infection. Furthermore, STIN bacteria, unlike STEX, limited DC activation as measured by increased MHC class II, CD86, TNF-α, and IL-12 expression. These data indicate that STIN bacteria restrict FliC bioavailability by Ag compartmentalization, and together with STIN bacterial responses, limit DC maturation and cytokine production. Together, these mechanisms may restrain DC-mediated activation of FliC-specific CD4+ T cells.

Identification of medically relevant yeasts can be time-consuming and inaccurate with current methods. We evaluated PCR-based detection of sequence polymorphisms in the internal transcribed spacer 2 (ITS2) region of the rRNA genes as a means of fungal identification. Clinical isolates (401), reference strains (6), and type strains (27), representing 34 species of yeasts were examined. The length of PCR-amplified ITS2 region DNA was determined with single-base precision in less than 30 min by using automated capillary electrophoresis. Unique, species-specific PCR products ranging from 237 to 429 bp were obtained from 92% of the clinical isolates. The remaining 8%, divided into groups with ITS2 regions which differed by <2 bp in mean length, all contained species-specific DNA sequences easily distinguishable by restriction enzyme analysis. These data, and the specificity of length polymorphisms for identifying yeasts, were confirmed by DNA sequence analysis of the ITS2 region from 93 isolates. Phenotypic and ITS2-based identification was concordant for 427 of 434 yeast isolates examined using sequence identity of >99%. Seven clinical isolates contained ITS2 sequences that did not agree with their phenotypic identification, and ITS2-based phylogenetic analyses indicate the possibility of new or clinically unusual species in the Rhodotorula and Candida genera. This work establishes an initial database, validated with over 400 clinical isolates, of ITS2 length and sequence polymorphisms for 34 species of yeasts. We conclude that size and restriction analysis of PCR-amplified ITS2 region DNA is a rapid and reliable method to identify clinically significant yeasts, including potentially new or emerging pathogenic species.

Identification of medically relevant yeasts can be time-consuming and inaccurate with current methods. We evaluated PCR-based detection of sequence polymorphisms in the internal transcribed spacer 2 (ITS2) region of the rRNA genes as a means of fungal identification. Clinical isolates (401), reference strains (6), and type strains (27), representing 34 species of yeasts were examined. The length of PCR-amplified ITS2 region DNA was determined with single-base precision in less than 30 min by using automated capillary electrophoresis. Unique, species-specific PCR products ranging from 237 to 429 bp were obtained from 92% of the clinical isolates. The remaining 8%, divided into groups with ITS2 regions which differed by <2 bp in mean length, all contained species-specific DNA sequences easily distinguishable by restriction enzyme analysis. These data, and the specificity of length polymorphisms for identifying yeasts, were confirmed by DNA sequence analysis of the ITS2 region from 93 isolates. Phenotypic and ITS2-based identification was concordant for 427 of 434 yeast isolates examined using sequence identity of >99%. Seven clinical isolates contained ITS2 sequences that did not agree with their phenotypic identification, and ITS2-based phylogenetic analyses indicate the possibility of new or clinically unusual species in the Rhodotorula and Candida genera. This work establishes an initial database, validated with over 400 clinical isolates, of ITS2 length and sequence polymorphisms for 34 species of yeasts. We conclude that size and restriction analysis of PCR-amplified ITS2 region DNA is a rapid and reliable method to identify clinically significant yeasts, including potentially new or emerging pathogenic species.

Optimal clinical decision-making depends on identification of clinically relevant organisms present in a sample. Standard microbiological culture may fail to identify unusual or fastidious organisms and can misrepresent relative abundance of sample constituents. culture-independent methods have improved our ability to deconvolute polymicrobial patient samples. We used next-generation 16S rRNA gene sequencing (NGS16S) to determine how often cultivatable organisms in complex polymicrobial samples are not reported by standard culture. Twenty consecutive bronchoalveolar lavage (BAL) samples were plated to standard and additional media; bacteria were identified by NGS16S analysis of DNA extracted directly from samples or from washed culture plates. 96% of organisms identified were cultivable, but only 21% were reported by standard culture, indicating that standard work-up provides an incomplete assessment of microbial constituents. Direct NGS16S correlated well with standard culture, identifying the same predominant organism in 50% of samples. When predominant organisms differed, NGS16S most often detected anaerobes, whose growth is unsupported by standard culture conditions for this specimen. NGS16S identified more organisms per sample and allowed identification of fastidious organisms, while culture was better at capturing organisms when bacterial load was low, and allowed incidental recovery of non-bacterial pathogens. Molecular and culture-based methods together detect more organisms than either method alone.