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Article Abstract

Background And Purpose: is a multidrug-resistant yeast that rapidly spreads, making it the leading Candidate for the next pandemic. One main leading cause of emerging resistant isolates is nonsynonymous mutations. This study aimed to detect the Y132F mutation, one of the most important azole resistance-associated mutations in the gene of , by developing a reliable high-resolution melt (HRM)-based method.

Materials And Methods: Five isolates from Iran, plus three control isolates from other Clades were used in the study. The antifungal susceptibility testing through micro broth dilution was performed to recheck their susceptibility to three azole antifungals, including fluconazole, itraconazole, and voriconazole. Moreover, the polymerase chain reaction (PCR) sequencing of the gene was performed. Following the bioinformatic analysis and HRM-specific primer design, an HRM-based assay was developed and evaluated to detect mutations.

Results: The minimum inhibitory concentrations of fluconazole among Iranian isolates ranged from 8 to 64 μg/mL. The PCR-sequencing of the gene and bioinformatic analyses revealed the mutation of Y132F, a substitution consequence of A to T on codon 395 in one fluconazole-resistant isolate (IFRC4050). The developed HRM assay successfully differentiated the targeted single nucleotide polymorphism between mutant and wild types (temperature [Tm]: 81.79 ℃ - cycle threshold [CT]: 20.06 for suspected isolate). For both mutant and non-mutant isolates, the mean Tm range was 81.79-82.39 °C and the mean CT value was 20.06-22.93. These results were completely in accordance with the findings of DNA sequencing.

Conclusion: The fast-track HRM-based method successfully detected one of the most common mechanisms of resistance in the gene of within 3 h. Finally, the development of more panels of HRM assays for the detection of all azole resistance mutations in is recommended to expand the scope of the field and facilitate the elaboration of rapid and accurate methods of antifungal resistance assessment.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10864743PMC
http://dx.doi.org/10.22034/CMM.2023.345114.1453DOI Listing

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