Trichosporon yeasts constitute emerging pathogens, implicated in organ-specific and systemic infections. In this first, comprehensive study of Trichosporon clinical isolates in Greece, 42 isolates were identified by sequencing the hypervariable D1/D2 domain of the Large Subunit (LSU) rDNA gene, while Trichosporon asahii were genotyped by sequencing the Intergenic Spacer 1 region, and antifungal susceptibilities were determined by the EDef 7.2 (EUCAST) method, in parallel with the CLSI standard. Trichosporon asahii was the primary species (37 isolates) followed by Trichosporon coremiiforme, Trichosporon dermatis, Trichosporon loubieri and Trichosporon mycotoxinivorans. One strain remained unidentified. Seven T. asahii genotypes were recorded. The major genotypes were: genotypes 4 (29%) and 3 (26%) followed by 1, 5 and 7 (9.5% each). Two novel genotypes were identified designated as 10 and 11. EUCAST MIC ≥2 mg/L was recorded in 58% of the isolates (amphotericin B), 41% (itraconazole), 41% (posaconazole) and 38% (voriconazole). Fluconazole MICs of ≥32 mg/L were recorded in 23.8% of the isolates. Analysis of variance performed on absolute values showed that the amphotericin B, itraconazole, posaconazole and voriconazole MICs of T. asahii were equivalent. Typically higher MIC values were displayed by fluconazole. Antifungal susceptibilities of the seven different genotypes were homogeneous. Agreements between EUCAST and CLSI ranged from 88.1 to 97.62%. Overall, the high MICs recorded among the Trichosporon isolates for all tested drugs justify routine susceptibility testing of clinical isolates.
Agrigenomics is one of the emerging focus areas for omics sciences. Yet, agrigenomics differs from medical omics applications such as pharmacogenomics and precision medicine, by virtue of vastly distributed geography of applications at the intersection of agriculture, nutrition, and genomics research streams. Crucially, agrigenomics can address diagnostics and safety surveillance needs in remote and rural farming communities or decentralized food, crop, and environmental monitoring programs for prompt, selective, and differential identification of pathogens. A case in point is the potato crop that serves as a fundamental nutritional source worldwide. Decentralized potato crop and plant protection facilities are pivotal to minimize unnecessary, preemptive use of broad-spectrum fungicides, thus helping to curtail the costs, environmental burden, and the development of resistance in opportunistic human pathogenic fungi. We report here a polymerase chain reaction-restriction fragment length polymorphism approach that is sensitive and adaptable in detection and broad identification of fungal pathogens in potato crops, with a view to future decentralized agrigenomic surveillance programs. Notably, the fingerprinting patterns obtained by the method fully differentiated 12 fungal species examined in silico, with 10 of them also tested in vitro. The method can be scaled up through improvements in electrophoresis and enzyme panel for adaption to other crops and/or pathogens. We suggest that decentralized and integrated agrosurveillance programs and translational agrigenomic programs can inform future innovations in multidomain biosecurity, particularly across omics applications from agriculture and nutrition to clinical medicine and environmental biosafety.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.