Is the extraction by Whatman FTA filter matrix technology and sequencing of large ribosomal subunit D1-D2 region sufficient for identification of clinical fungi?

In Vitro Effects of Farnesol Alone and in Combination with Antifungal Drugs Against Aspergillus Clinical Isolates

Farnesol is an extracellular quorum-sensing molecule produced by Candida albicans. Farnesol is also a sesquiterpene alcohol existing in many herbal products and has various activity against fungal cells. We aimed to investigate the efficacy of farnesol alone and the contribution of farnesol on the activity of voriconazole and amphotericin B against Aspergillus clinical isolates in vitro. A total of 45 Aspergillus clinical isolates were used in this study. The MIC values of voriconazole, amphotericin B, and farnesol were determined using reference broth microdilution method. The interactions of farnesol with voriconazole and amphotericin B were investigated by the checkerboard method and evaluated based on the fractional inhibitor concentration index (FICI). The MIC ranges of farnesol, voriconazole, and amphotericin B were 1,500-6,000 μM, 0.125-1 μg/mL, and 0.125-0.5 μg/mL against Aspergillus fumigatus isolates, 3,000-12,000 μM, 0.125-0.5 μg/mL, and 0.25-2 μg/mL against Aspergillus flavus isolates, respectively. The most common interaction in combination tests was "no interaction," and synergistic interaction was not detected. The combinations of farnesol with voriconazole and amphotericin B had antagonistic activity against 38% and 27% of all isolates, respectively.We concluded that the responses of different fungal species against farnesol are variable, and different interactions may be observed when it is combined with different antifungals. Therefore, it should be noted that farnesol may have an adverse effect on some fungi or interact negatively with antifungals used in combination.

Identification of medically important yeasts by sequence analysis of the internal transcribed spacer and D1/D2 region of the large ribosomal subunit

BACKGROUND

The prevalence of opportunistic yeast infections has increased in recent decades as the result of an increasing immunocompromised patient population.

AIMS

To evaluate ribosomal RNA (rRNA) gene sequence to identify medically important yeast species, to investigate the performance of both the rRNA gene internal transcribed spacer (ITS) and D1/D2 region in identifying clinically relevant yeasts, and to compare these results with those of a standard phenotypic method.

METHODS

Both regions from 50 yeast strains, comprising 45 clinical isolates and 5 reference strains, were amplified using PCR and then sequenced. The sequences were compared to reference data available from the GenBank database of the National Center for Biotechnology Information using the BLASTn tool.

RESULTS

Using ID32C, 88% (44/50) of all strains were identified accurately at the species level, although 6% were misidentified; two Candida eremophila isolates were identified as Candida glabrata and Candida tropicalis, and one Saprochaete clavata isolate was identified as Saprochaete capitata. Two of the four isolates identified by phenotypic methods as Trichosporon asahii were defined so by analyzing the ITS region, but the remaining two were not distinguishable from closely related species. Based on the D1/D2 region, these four isolates had 100% sequence identity with T. asahii, Trichosporon japonicum, and Trichosporon asteroides. The isolate identified as Trichosporon inkin using ID32C could not be distinguished from Trichosporon ovoides by analyzing the ITS and D1/D2 regions.

CONCLUSIONS

Identifying medically important yeasts by sequencing the ITS and D1/D2 region is a rapid and reliable alternative to conventional identification methods. For a diagnostic algorithm, we suggest a two-step procedure integrating conventional methods (e.g. microscopic morphology on corn meal agar with Tween® 80 and API ID32C®) and sequence analysis of the ITS and D1/D2 region.

Detection of chikungunya viral RNA in mosquito bodies on cationic (Q) paper based on innovations in synthetic biology

Chikungunya virus (CHIKV) represents a growing and global concern for public health that needs inexpensive and convenient methods to collect mosquitoes as potential carriers so that they can be preserved, stored and transported for later and/or remote analysis. Reported here is a cellulose-based paper, derivatized with quaternary ammonium groups ("Q-paper") that meets these needs. In a series of tests, infected mosquito bodies were squashed directly on Q-paper. Aqueous ammonia was then added on the mosquito bodies to release viral RNA that adsorbed on the cationic surface via electrostatic interactions. The samples were then stored (frozen) or transported. For analysis, the CHIKV nucleic acids were eluted from the Q-paper and PCR amplified in a workflow, previously developed, that also exploited two nucleic acid innovations, ("artificially expanded genetic information systems", AEGIS, and "self-avoiding molecular recognition systems", SAMRS). The amplicons were then analyzed by a Luminex hybridization assay. This procedure detected CHIKV RNA, if present, in each infected mosquito sample, but not in non-infected counterparts or ddH2O samples washes, with testing one week or ten months after sample collection.