Transcriptomics and Phenotyping Define Genetic Signatures Associated with Echinocandin Resistance in Candida auris.
Transcriptomics and Phenotyping Define Genetic Signatures Associated with Echinocandin Resistance in Candida auris.
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Candida auris emerged as a human fungal pathogen only during the past decade. Remarkably, C. auris displays high degrees of genomic diversity and phenotypic plasticity, with four major clades causing hospital outbreaks with high mortality and morbidity rates. C. auris can show clinical resistance to all classes of antifungal drugs, including echinocandins that are usually recommended as first-line therapies for invasive candidiasis. Here, we exploit transcriptomics coupled with phenotypic profiling to characterize a set of clinical C. auris isolates displaying pronounced echinocandin resistance (ECN-R). A hot spot mutation in the echinocandin FKS1 target gene is present in all resistant isolates. Moreover, ECN-R strains share a core signature set of 362 genes differentially expressed in ECN-R isolates. Among others, mitochondrial gene expression and genes affecting cell wall function appear to be the most prominent, with the latter correlating well with enhanced adhesive traits, increased cell wall mannan content, and altered sensitivity to cell wall stress of ECN-R isolates. Moreover, ECN-R phenotypic signatures were also linked to pathogen recognition and interaction with immune cells. Hence, transcriptomics paired with phenotyping is a suitable tool to predict resistance and fitness traits as well as treatment outcomes in pathogen populations with complex phenotypic diversity.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
6.7
作者:
Blankenship JR;Fanning S;Hamaker JJ;Mitchell AP
通讯作者:
Mitchell AP
影响因子:
6.4
作者:
Arora P;Singh P;Wang Y;Yadav A;Pawar K;Singh A;Padmavati G;Xu J;Chowdhary A
通讯作者:
Chowdhary A
DOI:
10.3390/jof7090754
发表时间:
2021-09-13
期刊:
Journal of fungi (Basel, Switzerland)
影响因子:
--
作者:
Carolus H;Jacobs S;Lobo Romero C;Deparis Q;Cuomo CA;Meis JF;Van Dijck P
通讯作者:
Van Dijck P
影响因子:
6.7
作者:
Cabral V;Znaidi S;Walker LA;Martin-Yken H;Dague E;Legrand M;Lee K;Chauvel M;Firon A;Rossignol T;Richard ML;Munro CA;Bachellier-Bassi S;d'Enfert C
通讯作者:
d'Enfert C