Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profile of Trichophyton rubrum growth on protein substrates

ABSTRACT: We investigated the transcription profile of germinant conidia growth on protein substrates to widen the knowledge about relevant genes for pathogenecity, and also it was verified an encoding gene of adhesin like protein, which was modulated during the growth of T. rubrum on keratin. About 2.6 x 106 conidia/ mL solution was prepared from T. rubrum growth on Sabouraud for 15 days. The solution was inoculated in Cove's medium with nitrate and glucose (control), Cove's medium with 0.25% of elastin, and Cove's medium with 0.5% of keratin. These conditions were incubated for 24h, 36h and 72h. Two independent experiments were performed for each condition.

ORGANISM(S): Trichophyton rubrum

SUBMITTER: Tamires Bitencourt

PROVIDER: E-GEOD-69305 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Purpose: We evaluated T. rubrum transcriptome using high-throughput RNA-sequencing (RNA-seq) technology aiming to identify metabolic pathways modulated the development in keratin. Methods: T. rubrum strain CBS118892 was inoculated into 100 mL Sabouraud dextrose broth, and incubated under agitation at 28 °C for 96 h. Mycelia were aseptically transferred into 100 mL minimal medium (MM) at pH 5.0 containing 70 mM nitrate and 50 mM glucose (control) or 0.5% (w/v) bovine keratin (treatment) as the carbon source. The cultures were incubated under agitation at 28 °C for 24 h, 48 h, or 96 h. Equal amounts of RNA from three independent biological replicates of keratin or glucose cultures were sequenced with a Hiseq 2000 sequencer. Paired-end reads 150 bp in size were generated. Raw read data obtained were filtered for quality control by FastQC tool and trimmed with Trimmomatic to remove adapters and Illumina-specific sequences. Trimmed paired-end reads from each sample were aligned to the T. rubrum reference genome. Gene-level read counts were quantified with STAR’s ‘-quantModeGeneCounts’ parameter. Differential expression was analyzed with the DESeq2 bioconductor package. A Benjamini-Hochberg correction adjusted the P threshold and was applied to reveal statistically significant changes in gene expression levels. It was set to 0.05, with a log2 fold change ± 1.5 and postulated as a significantly modulated transcript abundance level. Genes surpassing these thresholds are hereinafter referred to as differentially expressed genes (DEG). They were functionally categorized with the Gene Ontology (GO) terms assigned by the Blast2GO algorithm. Highly represented categories were determined by enrichment analysis with the BayGO algorithm. Results: Our results present adaptive strategies in response to culture media. The global modulation in response to keratin supports fungal virulence and proper adaptation to the environment, in comparison to the availability of glucose as a carbon source. Conclusions: Our results revealed a profile of the adaptive events to the host environment, crucial to the establishment and maintenance of the infection. The observed metabolic modulation is necessary for fungus survival and perpetuation in the initial steps of the infective process in their host.

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Gene expression profile of Trichophyton rubrum growth on protein substrates

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