Transcriptomic studies on Purpureocillium lilacinum reveal molecular mechanisms of response to fluconazole and itraconazole.
Rafael PedezziCarlos Alberto Oliveira BiagiMarcela Cristina Corrêa de FreitasNathália Gonsales da Rosa-GarzonHamilton CabralPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2021)
Filamentous fungus Purpureocillium lilacinum is an emerging pathogen that infects immunocompromised and immunocompetent individuals and is resistant to several azole molecules. Although azole resistance mechanisms are well studied in Aspergillus sp. and Candida sp., there are no studies to date reporting P. lilacinum molecular response to these molecules. The aim of this study was to describe P. lilacinum molecular mechanisms involved in antifungal response against fluconazole and itraconazole. Transcriptomic analyses showed that gene expression modulation takes place when P. lilacinum is challenged for 12 h with fluconazole (64 μg/mL) or itraconazole (16 μg/mL). The antifungals acted on the ergosterol biosynthesis pathway, and two homologous genes coding for cytochrome P450 51 enzymes were upregulated. Genes coding for efflux pumps, such as the major facilitator superfamily transporter, also displayed increased expression in the treated samples. We propose that P. lilacinum develops antifungal responses by raising the expression levels of cytochrome P450 enzymes and efflux pumps. Such modulation could confer P. lilacinum high levels of target enzymes and could lead to the constant withdrawal of antifungals, which would force an increase in the administration of antifungal medications to achieve fungal morbidity or mortality. The findings in this work could aid in the decision-making for treatment strategies in cases of P. lilacinum infection.
Keyphrases
- candida albicans
- biofilm formation
- gene expression
- poor prognosis
- genome wide
- decision making
- single cell
- dna methylation
- emergency department
- rna seq
- cystic fibrosis
- coronary artery disease
- genome wide identification
- case control
- cell wall
- escherichia coli
- single molecule
- binding protein
- type diabetes
- long non coding rna
- oxidative stress
- pseudomonas aeruginosa
- genome wide analysis
- acute respiratory distress syndrome