Dataset Information

CgEfg1 and CgTec1 transcription factors controlling biofilm formation in Candida glabrata

ABSTRACT: This work reports the transcriptome-wide changes of C. glabrata cells (RNA-seq) upon 24h of biofilm formation on polystyerene surface, comparatively to planktonic conditions. The role of CgEfg1 and CgTec1 transcription factors is explored through the comparison of the transcriptome profiles of WT and CgEfg1 mutant cells, as well as the comparison between the profile of WT and CgTec1 mutant cells, in planktonic and 24h of biofilm conditions. mRNA profiles of WT and deletion mutant cells were generated by deep sequencing, in duplicate, using Illumina HiSeq. The sequence reads that passed quality filters were analyzed with TopHat followed by HTSeq. RNA-seq data allowed to identify genes whose expression is altered upon 24h of biofilm comparatively to planktonic conditions (1567 upregulated and 1505 downregulated). RNA-seq data allowed to identify genes regulated by the CgEfg1 (650 positively regulated and 514 negatively regulated) and CgTec1 (487 positively regulated and 595 negatively regulated) transcription factors in biofilm conditions. In all cases a log2fold change ≥1 and p value <0.01 was considered. The transcriptomics data was then used to guide further work to detail the function of each transcription factor in regulating biofilm formation.

ORGANISM(S): Nakaseomyces glabratus

PROVIDER: GSE140427 | GEO | 2021/04/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Biofilm formation on medically implanted devices by Candida albicans poses a significant clinical challenge. Here we compared biofilm-associated gene expression in two clinical C. albicans isolates, SC5314 and WO-1, to identify shared gene regulatory responses that may be functionally relevant. Among the 50 genes most highly expressed in biofilms relative to planktonic (suspension-grown) cells, we were able to recover insertion mutations in 25 genes. We observed that 20 of the 25 mutants have altered biofilm-related properties, including cell-substrate adherence, cell-cell signaling, and azole susceptibility. We focused on the most highly up-regulated gene in biofilms, RHR2, which specifies the glycerol biosynthetic enzyme glycerol-3-phosphate phosphatase. Glycerol is 5-fold more abundant in biofilm cells than planktonic cells, and an rhr2D/D strain accumulates 2-fold less biofilm glycerol than the wild type. Under in vitro growth conditions, the rhr2D/D mutant has reduced biofilm biomass and reduced adherence to silicone. The rhr2D/D mutant is severely defective in biofilm formation in vivo, in a rat catheter infection model. Expression profiling of the rhr2D/D mutant indicates that it has reduced expression of cell surface adhesin genes ALS1, ALS3, and HWP1, as well as a large fraction of all other biofilm up-regulated genes. Reduced adhesin expression is the cause of the rhr2D/D mutant biofilm defect, because overexpression of ALS1, ALS3, or HWP1 restores biofilm formation ability to the mutant in vitro and in vivo. Our findings indicate that internal glycerol has a regulatory role in biofilm gene expression, and that adhesin genes are among the main functional Rhr2-regulated genes. Gene expression profiles, in duplicate; (1) for biofilm vs. planktonic growth conditions for the two wild-type clinical isolates of Candida albicans (SC5314 and WO1-white/WO1-opaque), and (2) for rhr2M-NM-^T/M-NM-^T mutant and complemented strain, via RNA-deep sequencing using Illumina GA2 and HiSeq2000 platforms, respectively

Project description:Background: Biofilm formation by Salmonella species enhances the capacity of these pathogenic bacteria to survive stresses that are commonly encountered within food processing and during host infection. The persistence of Salmonella within the food chain has become a major health concern, as biofilms can serve as a reservoir to contaminate food products. While the molecular mechanisms required for the survival of bacteria on surfaces are not fully understood, transcriptional studies of other bacteria have demonstrated that biofilm growth triggers the expression of specific sets of genes, compared with planktonic cells. Until now, most transcriptomic studies of Salmonella have focused on the effect of infection-relevant stressors on virulence and on comparing mutant and wild-type (WT). However little is known about the physiological responses taking place inside a Salmonella biofilm. Results: We have determined the transcriptomic and proteomic profiles of biofilms of Salmonella enterica serovar Typhimurium. We discovered that 124 of detectable proteins were differentially expressed in the biofilm compared with planktonic cells, and that 10% (433 genes) of S. Typhimurium genes showed a biofilm-specific pattern of transcription (i.e. a 2-fold or more change in the biofilm compared with planktonic cells). The genes that were significantly up-regulated implicated specific cellular processes in biofilm development including amino acid metabolism, cell motility, global regulation and tolerance to stress. We found that the most highly down-regulated genes in the biofilm were located on Salmonella Pathogenicity Island 2 (SPI2), but that a functional SPI2 secretion system regulator (ssrA) was required for WT biofilm formation. We identified STM0341 as a gene of unknown function that was needed for WT biofilm growth. Genes involved in tryptophan (trp) biosynthesis and transport were up-regulated in the biofilm. Deletion of trpE led to a decrease in bacterial attachment and we show that this biofilm defect is restored by exogenous tryptophan or indole. Conclusion: Biofilm growth of S. Typhimurium causes distinct changes in gene and protein expression. Our results show that aromatic amino acids make an important contribution to biofilm formation, and reveal that SPI2 genes, required for virulence in host cells, show opposing patterns of expression to biofilm-specific genes in S. Typhimurium.

Dataset Information

CgEfg1 and CgTec1 transcription factors controlling biofilm formation in Candida glabrata

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure