Development of Melting-Curve-Based Real-Time PCR for Differentiating Medically Important Candida Species

<i>Candida</i> species are the primary fungal pathogens of invasive infections associated with high morbidity and mortality. The identification of these microorganisms is critical for therapeutic management and control of hospital infection. Herein, assays targeting the Intergenic Spacer 2 (IGS2) and Internal Transcribed Spacer 1 (ITS1) from the rDNA locus were developed to differentiate <i>Candida</i> species. Based on consensus nucleotide sequences, specific primers and positive controls were designed, and standard PCR and real-time PCR (qPCR) assays were performed. All primers resulted in specific amplification of the molecular targets of each species with no amplifications of the negative template control. Furthermore, the primers were highly specific when tested with a range of fungal DNAs and no cross-reactivity was observed among <i>Candida</i> species. The assays presented a limit of detection (LoD) of 10 copies of positive control per reaction for all specific primers designed. Overall, our results showed that qPCR assays employing primers targeting the regions IGS2 and ITS1 completely differentiated between <i>Candida albicans</i>, <i>Candida auris</i>, <i>Candida parapsilosis</i>, <i>Candida tropicalis</i>, and <i>Nakazeomyces glabratus</i>, with great accuracy and no amplification of DNA from other fungal species.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-09-26
DOI
https://doi.org/10.3390/ijms26199411
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of Melting-Curve-Based Real-Time PCR for Differentiating Medically Important Candida Species

Guilherme Bartolomeu Gonçalves, Isabela Madeira de Castro, Kelly Ishida, Eliandro Reis Tavares et al.
International Journal of Molecular Sciences
Antifungal resistance and susceptibility
article

Development of Melting-Curve-Based Real-Time PCR for Differentiating Medically Important Candida Species

Guilherme Bartolomeu Gonçalves, Isabela Madeira de Castro, Kelly Ishida, Eliandro Reis Tavares, Jussevania Pereira Santos, Anna Paula Silva Olak, Gislaine da Silva Rodrigues, Alexandre Tadachi Morey, Sueli Fumie Yamada‐Ogatta, Lucy Megumi Yamauchi, VILMACI COELHO DE MELO DOS SANTOS, Paulo Henrique Guilherme Borges
article en

Abstract

<i>Candida</i> species are the primary fungal pathogens of invasive infections associated with high morbidity and mortality. The identification of these microorganisms is critical for therapeutic management and control of hospital infection. Herein, assays targeting the Intergenic Spacer 2 (IGS2) and Internal Transcribed Spacer 1 (ITS1) from the rDNA locus were developed to differentiate <i>Candida</i> species. Based on consensus nucleotide sequences, specific primers and positive controls were designed, and standard PCR and real-time PCR (qPCR) assays were performed. All primers resulted in specific amplification of the molecular targets of each species with no amplifications of the negative template control. Furthermore, the primers were highly specific when tested with a range of fungal DNAs and no cross-reactivity was observed among <i>Candida</i> species. The assays presented a limit of detection (LoD) of 10 copies of positive control per reaction for all specific primers designed. Overall, our results showed that qPCR assays employing primers targeting the regions IGS2 and ITS1 completely differentiated between <i>Candida albicans</i>, <i>Candida auris</i>, <i>Candida parapsilosis</i>, <i>Candida tropicalis</i>, and <i>Nakazeomyces glabratus</i>, with great accuracy and no amplification of DNA from other fungal species.

International Journal of Molecular SciencesVol. 26(19)
Universidade Estadual de Londrina (BR), Pontifícia Universidade Católica do Paraná (BR), Universidade de São Paulo (BR), Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 69%
Antifungal resistance and susceptibility
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