ATAC-Seq Identifies Chromatin Landscapes Linked to the Regulation of Oxidative Stress in the Human Fungal Pathogen Candida albicans.
Sabrina JenullMichael TschernerTheresia MairKarl KuchlerPublished in: Journal of fungi (Basel, Switzerland) (2020)
Human fungal pathogens often encounter fungicidal stress upon host invasion, but they can swiftly adapt by transcriptional reprogramming that enables pathogen survival. Fungal immune evasion is tightly connected to chromatin regulation. Hence, fungal chromatin modifiers pose alternative treatment options to combat fungal infections. Here, we present an assay for transposase-accessible chromatin using sequencing (ATAC-seq) protocol adapted for the opportunistic pathogen Candida albicans to gain further insight into the interplay of chromatin accessibility and gene expression mounted during fungal adaptation to oxidative stress. The ATAC-seq workflow not only facilitates the robust detection of genomic regions with accessible chromatin but also allows for the precise modeling of nucleosome positions in C. albicans. Importantly, the data reveal genes with altered chromatin accessibility in upstream regulatory regions, which correlate with transcriptional regulation during oxidative stress. Interestingly, many genes show increased chromatin accessibility without change in gene expression upon stress exposure. Such chromatin signatures could predict yet unknown regulatory factors under highly dynamic transcriptional control. Additionally, de novo motif analysis in genomic regions with increased chromatin accessibility upon H2O2 treatment shows significant enrichment for Cap1 binding sites, a major factor of oxidative stress responses in C. albicans. Taken together, the ATAC-seq workflow enables the identification of chromatin signatures and highlights the dynamics of regulatory mechanisms mediating environmental adaptation of C. albicans.
Keyphrases
- genome wide
- candida albicans
- gene expression
- dna methylation
- transcription factor
- dna damage
- oxidative stress
- copy number
- biofilm formation
- single cell
- randomized controlled trial
- endothelial cells
- rna seq
- staphylococcus aureus
- cell wall
- risk assessment
- machine learning
- escherichia coli
- electronic health record
- bioinformatics analysis
- ischemia reperfusion injury
- cell migration
- genome wide identification
- diabetic rats
- gram negative
- multidrug resistant
- signaling pathway