» Articles » PMID: 26474309

Integration of Posttranscriptional Gene Networks into Metabolic Adaptation and Biofilm Maturation in Candida Albicans

Overview
Journal PLoS Genet
Specialty Genetics
Date 2015 Oct 17
PMID 26474309
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

The yeast Candida albicans is a human commensal and opportunistic pathogen. Although both commensalism and pathogenesis depend on metabolic adaptation, the regulatory pathways that mediate metabolic processes in C. albicans are incompletely defined. For example, metabolic change is a major feature that distinguishes community growth of C. albicans in biofilms compared to suspension cultures, but how metabolic adaptation is functionally interfaced with the structural and gene regulatory changes that drive biofilm maturation remains to be fully understood. We show here that the RNA binding protein Puf3 regulates a posttranscriptional mRNA network in C. albicans that impacts on mitochondrial biogenesis, and provide the first functional data suggesting evolutionary rewiring of posttranscriptional gene regulation between the model yeast Saccharomyces cerevisiae and C. albicans. A proportion of the Puf3 mRNA network is differentially expressed in biofilms, and by using a mutant in the mRNA deadenylase CCR4 (the enzyme recruited to mRNAs by Puf3 to control transcript stability) we show that posttranscriptional regulation is important for mitochondrial regulation in biofilms. Inactivation of CCR4 or dis-regulation of mitochondrial activity led to altered biofilm structure and over-production of extracellular matrix material. The extracellular matrix is critical for antifungal resistance and immune evasion, and yet of all biofilm maturation pathways extracellular matrix biogenesis is the least understood. We propose a model in which the hypoxic biofilm environment is sensed by regulators such as Ccr4 to orchestrate metabolic adaptation, as well as the regulation of extracellular matrix production by impacting on the expression of matrix-related cell wall genes. Therefore metabolic changes in biofilms might be intimately linked to a key biofilm maturation mechanism that ultimately results in untreatable fungal disease.

Citing Articles

An Update on the Therapeutic Potential of Antimicrobial Peptides against Infections.

Rangel K, Lechuga G, Provance Jr D, Morel C, De Simone S Pharmaceuticals (Basel). 2023; 16(9).

PMID: 37765087 PMC: 10537560. DOI: 10.3390/ph16091281.


Post-transcriptional control of antifungal resistance in human fungal pathogens.

Sharma C, Kadosh D Crit Rev Microbiol. 2022; 49(4):469-484.

PMID: 35634915 PMC: 9766424. DOI: 10.1080/1040841X.2022.2080527.


Transcriptional responses of biofilm cells to fluconazole are modulated by the carbon source.

Alves R, Kastora S, Gomes-Goncalves A, Azevedo N, Rodrigues C, Silva S NPJ Biofilms Microbiomes. 2020; 6:4.

PMID: 31993211 PMC: 6978337. DOI: 10.1038/s41522-020-0114-5.


PAT-Seq: A Method for Simultaneous Quantitation of Gene Expression, Poly(A)-Site Selection and Poly(A)-Length Distribution in Yeast Transcriptomes.

Swaminathan A, Harrison P, Preiss T, Beilharz T Methods Mol Biol. 2019; 2049:141-164.

PMID: 31602610 DOI: 10.1007/978-1-4939-9736-7_9.


Unique, Diverged, and Conserved Mitochondrial Functions Influencing Candida albicans Respiration.

Sun N, Parrish R, Calderone R, Fonzi W mBio. 2019; 10(3).

PMID: 31239372 PMC: 6593398. DOI: 10.1128/mBio.00300-19.


References
1.
Keene J, Tenenbaum S . Eukaryotic mRNPs may represent posttranscriptional operons. Mol Cell. 2002; 9(6):1161-7. DOI: 10.1016/s1097-2765(02)00559-2. View

2.
Ramakers C, Ruijter J, Lekanne Deprez R, Moorman A . Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neurosci Lett. 2003; 339(1):62-6. DOI: 10.1016/s0304-3940(02)01423-4. View

3.
Sickmann A, Reinders J, Wagner Y, Joppich C, Zahedi R, Meyer H . The proteome of Saccharomyces cerevisiae mitochondria. Proc Natl Acad Sci U S A. 2003; 100(23):13207-12. PMC: 263752. DOI: 10.1073/pnas.2135385100. View

4.
Gola S, Martin R, Walther A, Dunkler A, Wendland J . New modules for PCR-based gene targeting in Candida albicans: rapid and efficient gene targeting using 100 bp of flanking homology region. Yeast. 2003; 20(16):1339-47. DOI: 10.1002/yea.1044. View

5.
Gerber A, Herschlag D, Brown P . Extensive association of functionally and cytotopically related mRNAs with Puf family RNA-binding proteins in yeast. PLoS Biol. 2004; 2(3):E79. PMC: 368173. DOI: 10.1371/journal.pbio.0020079. View