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Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population
Version 1
: Received: 11 October 2023 / Approved: 11 October 2023 / Online: 11 October 2023 (12:24:15 CEST)
How to cite:
Cárdenas Parra, L.Y.; Rojas Rodríguez, A.E.; Pérez Cárdenas, J.E.; Pérez-Agudelo, J.M. Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population. Preprints2023, 2023100708. https://doi.org/10.20944/preprints202310.0708.v1
Cárdenas Parra, L.Y.; Rojas Rodríguez, A.E.; Pérez Cárdenas, J.E.; Pérez-Agudelo, J.M. Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population. Preprints 2023, 2023100708. https://doi.org/10.20944/preprints202310.0708.v1
Cárdenas Parra, L.Y.; Rojas Rodríguez, A.E.; Pérez Cárdenas, J.E.; Pérez-Agudelo, J.M. Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population. Preprints2023, 2023100708. https://doi.org/10.20944/preprints202310.0708.v1
APA Style
Cárdenas Parra, L.Y., Rojas Rodríguez, A.E., Pérez Cárdenas, J.E., & Pérez-Agudelo, J.M. (2023). Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population. Preprints. https://doi.org/10.20944/preprints202310.0708.v1
Chicago/Turabian Style
Cárdenas Parra, L.Y., Jorge Enrique Pérez Cárdenas and Juan Manuel Pérez-Agudelo. 2023 "Molecular and Associative Evaluation of ERG11, ERG3, CDR1, and SNQ2 Genes Linked to Fluconazole Resistance in Candida glabrata in a Colombian Population" Preprints. https://doi.org/10.20944/preprints202310.0708.v1
Abstract
The resistance of Candida spp to fluconazole is a serious problem; Therefore, it must be investigated to expand the understanding of the phenomenon with a view to its clinical applicability. The aim was to evaluate the expression of ERG3, ERG11, CDR1, and SNQ2 genes involving computational analysis. Relative expression was quantified by RT-qPCR. Metrics were obtained by molecular docking and through Fisher's discriminant functions, a predictive classification against susceptibility to fluconazole was performed. The expression of ERG3, CDR1, and SNQ2 genes was higher in resistant strains than in dose-dependent sensitive strains. The gene with the highest expression in strains exposed to fluconazole was CDR1 and, in both resistant and dose-dependent sensitive strains exposed to fluconazole, the ERG11 gene had lower expression. The molecular docking model generated lower median fluconazole-ERG11 contacts than the median fluconazole-ERG3, -CDR1, and -SNQ2 contacts. The predicted classification through the multivariate model for fluconazole sensitivity obtained an accuracy of 73.5%. Resistant strains had a significant expression of CDR1, SNQ2 and ERG3 genes, compared to a comparatively low expression of ERG11. Molecular analysis identified a low affinity between fluconazole and its drug target, which may explain a lower intrinsic susceptibility of the fungus.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
