ArticleNucleic acids research2015
Defining the transcriptomic landscape of Candida glabrata by RNA-Seq.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
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- Decoding the role of oxidative stress resistance and alternative carbon substrate assimilation in the mature biofilm growth mode of Candida glabrata.BMC microbiology · 2024Article
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- Fungal Endocarditis: Pathophysiology, Epidemiology, Clinical Presentation, Diagnosis, and Management.Clinical microbiology reviews · 2023Review
- Possible Contribution of Alternative Transcript Isoforms in Mature Biofilm Growth Phase ofIndian journal of microbiology · 2022Article
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- Identification and Functional Analysis of GTP Cyclohydrolase II inFrontiers in microbiology · 2022Article
- The long non-coding RNA landscape of Candida yeast pathogens.Nature communications · 2021Article
- Review
- Identification of Essential Genes and Fluconazole Susceptibility Genes inG3 (Bethesda, Md.) · 2020Article
- Transcriptome-wide expression profiling ofMicrobial genomics · 2020Article
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- Nucleic acids enrichment of fungal pathogens to study host-pathogen interactions.Scientific reports · 2019Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Candida glabrata is the second most common pathogenic Candida species and has emerged as a leading cause of nosocomial fungal infections. Its reduced susceptibility to antifungal drugs and its close relationship to Saccharomyces cerevisiae make it an interesting research focus. Although its genome sequence was published in 2004, little is known about its transcriptional dynamics. Here, we provide a detailed RNA-Seq-based analysis of the transcriptomic landscape of C. glabrata in nutrient-rich media, as well as under nitrosative stress and during pH shift. Using RNA-Seq data together with state-of-the-art gene prediction tools, we refined the annotation of the C. glabrata genome and predicted 49 novel protein-coding genes. Of these novel genes, 14 have homologs in S. cerevisiae and six are shared with other Candida species. We experimentally validated four novel protein-coding genes of which two are differentially regulated during pH shift and interaction with human neutrophils, indicating a potential role in host-pathogen interaction. Furthermore, we identified 58 novel non-protein-coding genes, 38 new introns and condition-specific alternative splicing. Finally, our data suggest different patterns of adaptation to pH shift and nitrosative stress in C. glabrata, Candida albicans and S. cerevisiae and thus further underline a distinct evolution of virulence in yeast.
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