Excel · study · 2026
Shared anti-biofilm targets of biofilm regulators Wor3 and Bcr1 in Candida albicans
Listed in NCBI GEO
Candida albicans is an opportunistic fungal pathogen and a natural component of the human microbial flora.
Description
One central C. albicans virulence trait is the ability to produce a biofilm, which is regulated by several transcription factors. Mutations of some biofilm transcriptional regulators cause the same severe biofilm-defective phenotype in multiple clinical isolates.
Mutations of others, such as Wor3, Bcr1, Ndt80, and Ume6, have mild or variable phenotypes among clinical isolates. We hypothesized that Wor3 may have a shared function with one of the other variable-phenotype biofilm regulators. This hypothesis predicts that a double mutant lacking Wor3 and the shared-function regulator will have a severe biofilm defect in all clinical isolates.
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We observed that a wor3Δ/Δ bcr1Δ/Δ has a severe biofilm defect in vitro in 5 strain backgrounds tested. It also has a severe oral biofilm defect in a mouse oropharyngeal candidiasis model in the SC5314 reference strain background. RNA-seq data indicate that 5 genes encoding cell surface/secreted proteins are upregulated in wor3Δ/Δ, bcr1Δ/Δ, and wor3Δ/Δ bcr1Δ/Δ strains: CWH8, DAG7, JEN2, PGA6, and YWP1.
Deletion mutations of CWH8, DAG7, PGA6, or YWP1 enables biofilm formation in vitro in an SC5314-derived wor3Δ/Δ bcr1Δ/Δ strain, and deletion of YWP1 enables biofilm formation in vitro in wor3Δ/Δ bcr1Δ/Δ strains from 4 other genetic backgrounds. YWP1 has been shown to have anti-biofilm activity previously, but CWH8, DAG7, and PGA6 are newly described anti-biofilm genes. Our study illustrates the value of strain variation considerations for gene function analysis and the importance of repression targets of biofilm regulators.
In addition, our results expand the number of anti-biofilm genes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE289nnn/GSE289081 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE289081 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1221277 ncbi.nlm.nih.gov/bioproject/PRJNA1221277 ↗
project · from NCBI GEO
- PubMed 42167755 pubmed.ncbi.nlm.nih.gov/42167755 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE289081 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |