causes life-threatening invasive infections that are hard to diagnose and treat, with drug resistance leading to treatment failure. The goal of this study was to develop VHH (single variable domain on a heavy chain) nanobodies to detect drug-resistant infections. Llamas were immunized with a mixture of heat killed and fixed cells of different morphologies.
View Article and Find Full Text PDF(1) Background: Species of the anamorphic genus , are known for their fungicolous lifestyle, making them important mycopathogens in fungiculture. Many morphological, ecological, and molecular phylogenetic studies of the genus have been done to date, but taxonomic uncertainties and challenges still remain. Fungal secondary metabolites, being vastly diverse, are utilised as an extra tool in fungal systematics.
View Article and Find Full Text PDFAntifungal susceptibility profiles of rare Saccharomycotina yeasts remain missing, even though an increase in prevalence of such rare Candida species was reported in candidemia. Majority of these rare yeast species carry intrinsic resistances against at least one antifungal compound. Some species are known to be cross-resistant (against multiple drugs of the same drug class) or even multi-drug resistant (against multiple drugs of different drug classes).
View Article and Find Full Text PDFAscomycetous yeast species belonging to the subphylum Saccharomycotina (Ascomycota, Fungi) may cause a variety of pathologies in humans. Candida albicans accounts for almost half of candidemia cases but the emergence of uncommon yeasts in the clinical setting is increasing. Here, we highlight the epidemiology of Saccharomycotina budding yeasts causing bloodstream infections, address antifungal susceptibility patterns and unravel how the latter corresponds to their phylogenetic relationship.
View Article and Find Full Text PDFOnline sequence databases such as NCBI GenBank serve as a tremendously useful platform for researchers to share and reuse published data. However, submission systems lack control for errors such as organism misidentification, which once entered in the database can be propagated and mislead downstream analyses. Here we present an illustrating case of misidentification of Candida albicans from a clinical sample as Naumovozyma dairenensis based on whole-genome shotgun data.
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