Genetic analysis of drug resistance mechanisms and phylogenetic clustering in <i>Candida auris</i> isolates from Western India

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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Publication Details

Journal
Journal of Laboratory Physicians
Published
2024-10-16
DOI
https://doi.org/10.25259/jlp_11_2024
Primary Topic
Antifungal resistance and susceptibility
Type
article
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article

Genetic analysis of drug resistance mechanisms and phylogenetic clustering in Candida auris isolates from Western India

Neetu Biyani, Tavisha Dama, Pratiksha Chheda, Shashikala Shivaprakash et al.
Journal of Laboratory Physicians
Antifungal resistance and susceptibility
article

Genetic analysis of drug resistance mechanisms and phylogenetic clustering in Candida auris isolates from Western India

Neetu Biyani, Tavisha Dama, Pratiksha Chheda, Shashikala Shivaprakash, Naina Gupta, Seema Bansode
article en

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 .

Journal of Laboratory PhysiciansVol. 16
Sir H.N. Reliance Foundation Hospital and Research Centre (IN)
Openalex Percentile: Top 77%
Antifungal resistance and susceptibility
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