48
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Comprehensive Functional Portrait of Two Heat Shock Factor-Type Transcriptional Regulators Involved in Candida albicans Morphogenesis and Virulence

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Sfl1p and Sfl2p are two homologous heat shock factor-type transcriptional regulators that antagonistically control morphogenesis in Candida albicans, while being required for full pathogenesis and virulence. To understand how Sfl1p and Sfl2p exert their function, we combined genome-wide location and expression analyses to reveal their transcriptional targets in vivo together with the associated changes of the C. albicans transcriptome. We show that Sfl1p and Sfl2p bind to the promoter of at least 113 common targets through divergent binding motifs and modulate directly the expression of key transcriptional regulators of C. albicans morphogenesis and/or virulence. Surprisingly, we found that Sfl2p additionally binds to the promoter of 75 specific targets, including a high proportion of hyphal-specific genes (HSGs; HWP1, HYR1, ECE1, others), revealing a direct link between Sfl2p and hyphal development. Data mining pointed to a regulatory network in which Sfl1p and Sfl2p act as both transcriptional activators and repressors. Sfl1p directly represses the expression of positive regulators of hyphal growth ( BRG1, UME6, TEC1, SFL2), while upregulating both yeast form-associated genes ( RME1, RHD1, YWP1) and repressors of morphogenesis ( SSN6, NRG1). On the other hand, Sfl2p directly upregulates HSGs and activators of hyphal growth ( UME6, TEC1), while downregulating yeast form-associated genes and repressors of morphogenesis ( NRG1, RFG1, SFL1). Using genetic interaction analyses, we provide further evidences that Sfl1p and Sfl2p antagonistically control C. albicans morphogenesis through direct modulation of the expression of important regulators of hyphal growth. Bioinformatic analyses suggest that binding of Sfl1p and Sfl2p to their targets occurs with the co-binding of Efg1p and/or Ndt80p. We show, indeed, that Sfl1p and Sfl2p targets are bound by Efg1p and that both Sfl1p and Sfl2p associate in vivo with Efg1p. Taken together, our data suggest that Sfl1p and Sfl2p act as central “switch on/off” proteins to coordinate the regulation of C. albicans morphogenesis.

          Author Summary

          Candida albicans can switch from a harmless colonizer of body organs to a life-threatening invasive pathogen. This switch is linked to the ability of C. albicans to undergo a yeast-to-filament shift induced by various cues, including temperature. Sfl1p and Sfl2p are two transcription factors required for C. albicans virulence, but antagonistically regulate morphogenesis: Sfl1p represses it, whereas Sfl2p activates it in response to temperature. We show here that Sfl1p and Sfl2p bind in vivo, via divergent motifs, to the regulatory region of a common set of targets encoding key determinants of morphogenesis and virulence and exert both activating and repressing effects on gene expression. Additionally, Sfl2p binds to specific targets, including genes essential for hyphal development. Bioinformatic analyses suggest that Sfl1p and Sfl2p control C. albicans morphogenesis by cooperating with two important regulators of filamentous growth, Efg1p and Ndt80p, a premise that was confirmed by the observation of concomitant binding of Sfl1p, Sfl2p and Efg1p to the promoter of target genes and the demonstration of direct or indirect physical association of Sfl1p and Sfl2p with Efg1p, in vivo. Our data suggest that Sfl1p and Sfl2p act as central “switch on/off” proteins to coordinate the regulation of C. albicans morphogenesis.

          Related collections

          Most cited references71

          • Record: found
          • Abstract: found
          • Article: not found

          Nonfilamentous C. albicans mutants are avirulent.

          Candida albicans and Saccharomyces cerevisiae switch from a yeast to a filamentous form. In Saccharomyces, this switch is controlled by two regulatory proteins, Ste12p and Phd1p. Single-mutant strains, ste12/ste12 or phd1/phd1, are partially defective, whereas the ste12/ste12 phd1/phd1 double mutant is completely defective in filamentous growth and is noninvasive. The equivalent cph1/cph1 efg1/efg1 double mutant in Candida (Cph1p is the Ste12p homolog and Efg1p is the Phd1p homolog) is also defective in filamentous growth, unable to form hyphae or pseudohyphae in response to many stimuli, including serum or macrophages. This Candida cph1/cph1 efg1/efg1 double mutant, locked in the yeast form, is avirulent in a mouse model.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Heat shock factors: integrators of cell stress, development and lifespan.

            Heat shock factors (HSFs) are essential for all organisms to survive exposures to acute stress. They are best known as inducible transcriptional regulators of genes encoding molecular chaperones and other stress proteins. Four members of the HSF family are also important for normal development and lifespan-enhancing pathways, and the repertoire of HSF targets has thus expanded well beyond the heat shock genes. These unexpected observations have uncovered complex layers of post-translational regulation of HSFs that integrate the metabolic state of the cell with stress biology, and in doing so control fundamental aspects of the health of the proteome and ageing.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genesis: cluster analysis of microarray data.

              A versatile, platform independent and easy to use Java suite for large-scale gene expression analysis was developed. Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines. The results of the clustering are transparent across all implemented methods and enable the analysis of the outcome of different algorithms and parameters. Additionally, mapping of gene expression data onto chromosomal sequences was implemented to enhance promoter analysis and investigation of transcriptional control mechanisms.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                plospath
                PLoS Pathogens
                Public Library of Science (San Francisco, USA )
                1553-7366
                1553-7374
                August 2013
                August 2013
                15 August 2013
                : 9
                : 8
                : e1003519
                Affiliations
                [1 ]Institut Pasteur, Unité Biologie et Pathogénicité Fongiques, Département Génomes et Génétique, Paris, France
                [2 ]INRA, USC2019, Paris, France
                [3 ]Université Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, Paris, France
                Geisel School of Medicine at Dartmouth, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SZ AN TR CdE. Performed the experiments: SZ AN MC TR. Analyzed the data: SZ AN TR CdE. Wrote the paper: SZ AN CdE.

                [¤]

                Current address: Micalis – BimLip, Thiverval-Grignon, France.

                Article
                PPATHOGENS-D-13-00290
                10.1371/journal.ppat.1003519
                3744398
                23966855
                bd649dfd-ad62-4502-9d1a-493e3295bf29
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 January 2013
                : 8 June 2013
                Page count
                Pages: 24
                Funding
                This work was supported by research grants from the European Commission (FinSysB PITN-GA-2008-214004) and Agence Nationale de la Recherche (KANJI, ANR-08-MIE- 033-01) to CdE. SZ was supported by postdoctoral fellowships from the European Commission (FinSysB PITN-GA-2008-214004) and the Agence Nationale de la Recherche (KANJI, ANR-08-MIE- 033-01). AN was supported by a doctoral studentship from the DIM-Malinf Région Ile-de-France. This study has received funding from the French Government's Investissement d'Avenir program, Laboratoire d'Excellence “Integrative Biology of Emerging Infectious Diseases” (ANR-10-LABX-62-IBEID). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genomics
                Genome Analysis Tools
                Genetic Networks
                Transcriptomes
                Genome Expression Analysis
                Microbiology
                Mycology
                Fungal Physiology
                Yeast
                Microbial Pathogens
                Model Organisms
                Yeast and Fungal Models
                Candida Albicans
                Molecular Cell Biology
                Gene Expression
                DNA transcription
                Cellular Stress Responses
                Systems Biology

                Infectious disease & Microbiology
                Infectious disease & Microbiology

                Comments

                Comment on this article