Abstract
This study investigated the feasibility of using whole-genome sequencing (WGS) for the prediction of antifungal resistance in anidulafungin-resistant Candida tropicalis candidaemia isolates. Next-generation sequencing was performed for three anidulafungin-resistant C. tropicalis isolates on an Illumina MiSeq system with in-house bioinformatics analysis. Mutations in Fks1p associated with anidulafungin resistance were identified. Other mutations associated with varying levels of phenotypic resistance to fluconazole were also identified. These data demonstrate the potential to predict antifungal resistance using WGS. With improving technology, real-time WGS may be used for tailoring effective antifungal therapy in patients with candidaemia.
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