Abstract
Objectives: Candida auris is an emerging multidrug-resistant fungal pathogen that poses a significant threat to global health. Limited information is available from the Indian subcontinent regarding mutations associated with drug resistance and genetic variability among the isolates. In this study, we employed whole-genome sequencing (WGS) to investigate the genetic variations and drug resistance mechanisms within C. auris isolates from the western region of India. Materials and Methods: A total of twenty archived isolates were subjected to WGS on the Illumina NextSeq 2000 platform. A set of 18 genes was analyzed to check for the presence of drug-resistant mutations. Phylogenetic analysis was done using MEGA v6.06 software to identify the C. auris subgroup or clade and to check genetic relatedness among species. Statistical Analysis: The data related to drug resistance were presented in numbers and percentages. Results: Through manual analysis, drug-resistant mutations were detected in ERG11, CDR1, and TAC1b genes, which are known to be associated with reduced susceptibility to antifungal agents. Phylogenetic analysis revealed that all the isolates clustered within Clade I, indicating a high degree of genetic similarity among isolates. The absence of comprehensive antifungal mutation databases and automated tools for drug resistance detection necessitated the utilization of specialized computational skills of bioinformaticians for data analysis. Conclusions: The study provides valuable insights into the genetic diversity and drug resistance mechanisms of C. auris isolates in the western region of India and emphasizes the need for continued research and surveillance to combat this emerging pathogen. Our findings underscore the need for the development of user-friendly automated tools and comprehensive databases to facilitate rapid and accurate identification of drug resistance in C. auris.
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