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Transcriptome Signatures Predict Phenotypic Variations of Candida auris

Health care facilities are facing serious threats by the recently emerging human fungal pathogen Candida auris owing to its pronounced antifungal multidrug resistance and poor diagnostic tools. Distinct C. auris clades evolved seemingly simultaneously at independent geographical locations and displa...

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Autores principales: Jenull, Sabrina, Tscherner, Michael, Kashko, Nataliya, Shivarathri, Raju, Stoiber, Anton, Chauhan, Manju, Petryshyn, Andriy, Chauhan, Neeraj, Kuchler, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079977/
https://www.ncbi.nlm.nih.gov/pubmed/33937102
http://dx.doi.org/10.3389/fcimb.2021.662563
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author Jenull, Sabrina
Tscherner, Michael
Kashko, Nataliya
Shivarathri, Raju
Stoiber, Anton
Chauhan, Manju
Petryshyn, Andriy
Chauhan, Neeraj
Kuchler, Karl
author_facet Jenull, Sabrina
Tscherner, Michael
Kashko, Nataliya
Shivarathri, Raju
Stoiber, Anton
Chauhan, Manju
Petryshyn, Andriy
Chauhan, Neeraj
Kuchler, Karl
author_sort Jenull, Sabrina
collection PubMed
description Health care facilities are facing serious threats by the recently emerging human fungal pathogen Candida auris owing to its pronounced antifungal multidrug resistance and poor diagnostic tools. Distinct C. auris clades evolved seemingly simultaneously at independent geographical locations and display both genetic and phenotypic diversity. Although comparative genomics and phenotypic profiling studies are increasing, we still lack mechanistic knowledge about the C. auris species diversification and clinical heterogeneity. Since gene expression variability impacts phenotypic plasticity, we aimed to characterize transcriptomic signatures of C. auris patient isolates with distinct antifungal susceptibility profiles in this study. First, we employed an antifungal susceptibility screening of clinical C. auris isolates to identify divergent intra-clade responses to antifungal treatments. Interestingly, comparative transcriptional profiling reveals large gene expression differences between clade I isolates and one clade II strain, irrespective of their antifungal susceptibilities. However, comparisons at the clade levels demonstrate that minor changes in gene expression suffice to drive divergent drug responses. Finally, we functionally validate transcriptional signatures reflecting phenotypic divergence of clinical isolates. Thus, our results suggest that large-scale transcriptional profiling allows for predicting phenotypic diversities of patient isolates, which may help choosing suitable antifungal therapies of multidrug-resistant C. auris.
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spelling pubmed-80799772021-04-29 Transcriptome Signatures Predict Phenotypic Variations of Candida auris Jenull, Sabrina Tscherner, Michael Kashko, Nataliya Shivarathri, Raju Stoiber, Anton Chauhan, Manju Petryshyn, Andriy Chauhan, Neeraj Kuchler, Karl Front Cell Infect Microbiol Cellular and Infection Microbiology Health care facilities are facing serious threats by the recently emerging human fungal pathogen Candida auris owing to its pronounced antifungal multidrug resistance and poor diagnostic tools. Distinct C. auris clades evolved seemingly simultaneously at independent geographical locations and display both genetic and phenotypic diversity. Although comparative genomics and phenotypic profiling studies are increasing, we still lack mechanistic knowledge about the C. auris species diversification and clinical heterogeneity. Since gene expression variability impacts phenotypic plasticity, we aimed to characterize transcriptomic signatures of C. auris patient isolates with distinct antifungal susceptibility profiles in this study. First, we employed an antifungal susceptibility screening of clinical C. auris isolates to identify divergent intra-clade responses to antifungal treatments. Interestingly, comparative transcriptional profiling reveals large gene expression differences between clade I isolates and one clade II strain, irrespective of their antifungal susceptibilities. However, comparisons at the clade levels demonstrate that minor changes in gene expression suffice to drive divergent drug responses. Finally, we functionally validate transcriptional signatures reflecting phenotypic divergence of clinical isolates. Thus, our results suggest that large-scale transcriptional profiling allows for predicting phenotypic diversities of patient isolates, which may help choosing suitable antifungal therapies of multidrug-resistant C. auris. Frontiers Media S.A. 2021-04-14 /pmc/articles/PMC8079977/ /pubmed/33937102 http://dx.doi.org/10.3389/fcimb.2021.662563 Text en Copyright © 2021 Jenull, Tscherner, Kashko, Shivarathri, Stoiber, Chauhan, Petryshyn, Chauhan and Kuchler https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Jenull, Sabrina
Tscherner, Michael
Kashko, Nataliya
Shivarathri, Raju
Stoiber, Anton
Chauhan, Manju
Petryshyn, Andriy
Chauhan, Neeraj
Kuchler, Karl
Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title_full Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title_fullStr Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title_full_unstemmed Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title_short Transcriptome Signatures Predict Phenotypic Variations of Candida auris
title_sort transcriptome signatures predict phenotypic variations of candida auris
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079977/
https://www.ncbi.nlm.nih.gov/pubmed/33937102
http://dx.doi.org/10.3389/fcimb.2021.662563
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