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Background
Invasive fungal infections with Candida albicans (C. albicans) occur frequently in extremely low birthweight (ELBW) infants and are associated with poor outcome. Phagocytosis of C.albicans initializes apoptosis in monocytes (phagocytosis induced cell death, PICD). PICD is reduced in neonatal cord blood monocytes (CBMO).
Hypothesis
Phagocytosis of C. albicans causes PICD which differs between neonatal monocytes (CBMO) and adult peripheral blood monocytes (PBMO) due to lower stimulation of TLR-mediated immune responses.
Methods
The ability to phagocytose C. albicans, expression of TLRs, the induction of apoptosis (assessment of sub-G1 and nick-strand breaks) were analyzed by FACS. TLR signalling was induced by agonists such as lipopolysaccharide (LPS), Pam3Cys, FSL-1 and Zymosan and blocked (neutralizing TLR2 antibodies and MYD88 inhibitor).
Results
Phagocytic indices of PBMO and CBMO were similar. Following stimulation with agonists and C. albicans induced up-regulation of TLR2 and consecutive phosphorylation of MAP kinase P38 and expression of TNF-α, which were stronger on PBMO compared to CBMO (p < 0.005). Downstream, TLR2 signalling initiated caspase-3-dependent PICD which was found reduced in CBMO (p < 0.05 vs PBMO).
Conclusion
Our data suggest direct involvement of TLR2-signalling in C. albicans-induced PICD in monocytes and an alteration of this pathway in CBMO.
ABSTRACT
The highly conserved heterotrimeric protein kinase SNF1 is important for metabolic adaptations in the pathogenic yeast Candida albicans. A key function of SNF1 is to inactivate the repressor protein Mig1 and thereby allow the expression of genes that are required for the utilization of alternative carbon sources when the preferred carbon source, glucose, is absent or becomes limiting. However, how SNF1 controls Mig1 activity in C. albicans has remained elusive. Using a phosphoproteomics approach, we found that Mig1 is phosphorylated at multiple serine residues. Replacement of these serine residues by nonphosphorylatable alanine residues strongly increased the repressor activity of Mig1 in cells lacking a functional SNF1 complex, indicating that additional protein kinases are involved in the regulation of Mig1. Unlike wild-type Mig1, whose levels strongly decreased when the cells were grown on sucrose or glycerol instead of glucose, the levels of a mutant Mig1 protein lacking nine phosphorylation sites remained high under these conditions. Despite the increased protein levels and the absence of multiple phosphorylation sites, cells with a functional SNF1 complex could still sufficiently inhibit the hyperactive Mig1 to enable wild-type growth on alternative carbon sources. In line with this, phosphorylated forms of the mutant Mig1 were still detected in the presence and absence of a functional SNF1, demonstrating that Mig1 contains additional, unidentified phosphorylation sites and that downstream protein kinases are involved in the control of Mig1 activity by SNF1.
IMPORTANCE
The SNF1 protein kinase signaling pathway, which is highly conserved in eukaryotic cells, is important for metabolic adaptations in the pathogenic yeast Candida albicans. However, so far, it has remained elusive how SNF1 controls the activity of one of its main effectors, the repressor protein Mig1 that inhibits the expression of genes required for the utilization of alternative carbon sources when glucose is available. In this study, we have identified multiple phosphorylation sites in Mig1 that contribute to its inactivation. Mutation of these sites strongly increased Mig1 repressor activity in the absence of SNF1, but SNF1 could still sufficiently inhibit the hyperactive Mig1 to enable growth on alternative carbon sources. These findings reveal features of Mig1 that are important for controlling its repressor activity. Furthermore, they demonstrate that both SNF1 and additional protein kinases regulate Mig1 in this pathogenic yeast.
Invasive fungal infections are associated with high mortality rates and are mostly caused by the opportunistic fungi Aspergillus fumigatus and Candida albicans. Immune responses against these fungi are still not fully understood. Dendritic cells (DCs) are crucial players in initiating innate and adaptive immune responses against fungal infections. The immunomodulatory effects of fungi were compared to the bacterial stimulus LPS to determine key players in the immune response to fungal infections. A genome wide study of the gene regulation of human monocyte-derived dendritic cells (DCs) confronted with A. fumigatus, C. albicans or LPS was performed and Krüppel-like factor 4 (KLF4) was identified as the only transcription factor that was down-regulated in DCs by both fungi but induced by stimulation with LPS. Downstream analysis demonstrated the influence of KLF4 on the interleukine-6 expression in human DCs. Furthermore, KLF4 regulation was shown to be dependent on pattern recognition receptor ligation. Therefore KLF4 was identified as a controlling element in the IL-6 immune response with a unique expression pattern comparing fungal and LPS stimulation.
Fungal microorganisms frequently lead to life-threatening infections. Within this group of pathogens, the commensal Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of invasive mycoses in Europe. A key capability for host invasion and immune response evasion are specific molecular interactions between the fungal pathogen and its human host. Experimentally validated knowledge about these crucial interactions is rare in literature and even specialized host pathogen databases mainly focus on bacterial and viral interactions whereas information on fungi is still sparse. To establish large-scale host fungi interaction networks on a systems biology scale, we develop an extended inference approach based on protein orthology and data on gene functions. Using human and yeast intraspecies networks as template, we derive a large network of pathogen host interactions (PHI). Rigorous filtering and refinement steps based on cellular localization and pathogenicity information of predicted interactors yield a primary scaffold of fungi human and fungi mouse interaction networks. Specific enrichment of known pathogenicity-relevant genes indicates the biological relevance of the predicted PHI. A detailed inspection of functionally relevant subnetworks reveals novel host fungal interaction candidates such as the Candida virulence factor PLB1 and the anti-fungal host protein APP. Our results demonstrate the applicability of interolog-based prediction methods for host fungi interactions and underline the importance of filtering and refinement steps to attain biologically more relevant interactions. This integrated network framework can serve as a basis for future analyses of high-throughput host fungi transcriptome and proteome data.
Fungal infections are a major global health burden where Candida albicans is among the most common fungal pathogen in humans and is a common cause of invasive candidiasis. Fungal phenotypes, such as those related to morphology, proliferation and virulence are mainly driven by gene expression, which is primarily regulated by kinase signaling cascades. Serine-arginine (SR) protein kinases are highly conserved among eukaryotes and are involved in major transcriptional processes in human and S. cerevisiae. Candida albicans harbors two SR protein kinases, while Sky2 is important for metabolic adaptation, Sky1 has similar functions as in S. cerevisiae. To investigate the role of these SR kinases for the regulation of transcriptional responses in C. albicans, we performed RNA sequencing of sky1Δ and sky2Δ and integrated a comprehensive phosphoproteome dataset of these mutants. Using a Systems Biology approach, we study transcriptional regulation in the context of kinase signaling networks. Transcriptomic enrichment analysis indicates that pathways involved in the regulation of gene expression are downregulated and mitochondrial processes are upregulated in sky1Δ. In sky2Δ, primarily metabolic processes are affected, especially for arginine, and we observed that arginine-induced hyphae formation is impaired in sky2Δ. In addition, our analysis identifies several transcription factors as potential drivers of the transcriptional response. Among these, a core set is shared between both kinase knockouts, but it appears to regulate different subsets of target genes. To elucidate these diverse regulatory patterns, we created network modules by integrating the data of site-specific protein phosphorylation and gene expression with kinase-substrate predictions and protein-protein interactions. These integrated signaling modules reveal shared parts but also highlight specific patterns characteristic for each kinase. Interestingly, the modules contain many proteins involved in fungal morphogenesis and stress response. Accordingly, experimental phenotyping shows a higher resistance to Hygromycin B for sky1Δ. Thus, our study demonstrates that a combination of computational approaches with integration of experimental data can offer a new systems biological perspective on the complex network of signaling and transcription. With that, the investigation of the interface between signaling and transcriptional regulation in C. albicans provides a deeper insight into how cellular mechanisms can shape the phenotype.
The diploid, polymorphic yeast Candida albicans is one of the most important human pathogenic fungi. C. albicans can grow, proliferate and coexist as a commensal on or within the human host for a long time. However, alterations in the host environment can render C. albicans virulent. In this review, we describe the immunological cross-talk between C. albicans and the human innate immune system. We give an overview in form of pairs of human defense strategies including immunological mechanisms as well as general stressors such as nutrient limitation, pH, fever etc. and the corresponding fungal response and evasion mechanisms. Furthermore, Computational Systems Biology approaches to model and investigate these complex interactions are highlighted with a special focus on game-theoretical methods and agent-based models. An outlook on interesting questions to be tackled by Systems Biology regarding entangled defense and evasion mechanisms is given.
The protein kinase Snf1, a member of the highly conserved AMP-activated protein kinase family, is a central regulator of metabolic adaptation. In the pathogenic yeast Candida albicans, Snf1 is considered to be essential, as previous attempts by different research groups to generate homozygous snf1 Delta mutants were unsuccessful. We aimed to elucidate why Snf1 is required for viability in C. albicans by generating snf1 Delta null mutants through forced, inducible gene deletion and observing the terminal phenotype before cell death. Unexpectedly, we found that snf1 Delta mutants were viable and could grow, albeit very slowly, on rich media containing the preferred carbon source glucose. Growth was improved when the cells were incubated at 37 degrees C instead of 30 degrees C, and this phenotype enabled us to isolate homozygous snf1 Delta mutants also by conventional, sequential deletion of both SNF1 alleles in a wild-type C. albicans strain. All snf1 Delta mutants could grow slowly on glucose but were unable to utilize alternative carbon sources. Our results show that, under optimal conditions, C. albicans can live and grow without Snf1. Furthermore, they demonstrate that inducible gene deletion is a powerful method for assessing gene essentiality in C. albicans.
IMPORTANCE
Essential genes are those that are indispensable for the viability and growth of an organism. Previous studies indicated that the protein kinase Snf1, a central regulator of metabolic adaptation, is essential in the pathogenic yeast Candida albicans, because no homozygous snf1 deletion mutants of C. albicans wild-type strains could be obtained by standard approaches. In order to investigate the lethal consequences of SNF1 deletion, we generated conditional mutants in which SNF1 could be deleted by forced, inducible excision from the genome. Unexpectedly, we found that snf1 null mutants were viable and could grow slowly under optimal conditions. The growth phenotypes of the snf1 Delta mutants explain why such mutants were not recovered in previous attempts. Our study demonstrates that inducible gene deletion is a powerful method for assessing gene essentiality in C. albicans.
The human body is colonized by trillions of microbes from all three domains of life – eukaryotes, bacteria and archaea. The lower gastrointestinal tract is the most densely colonized part of the body, harbouring a diverse and dynamic community of microbes. While the importance of bacteria in this so-called microbiota is well acknowledged, the role of commensal fungi remains underexplored. The most prominent fungus of the human gastrointestinal microbiota is Candida albicans. This fungus occasionally causes life-threatening disseminated infections in individuals with debilitated immune defences. It is this “pathogenic” facet that has received the most attention from researchers in the past, leaving many aspects of its “commensal” lifestyle understudied. Using gnotobiotic mice as a model system to explore the biology of C. albicans in the mammalian gut, in this dissertation I establish the global response of the host to C. albicans monocolonization as well as the spatial distribution of the fungus in the intestine in the context of co-colonization with single gut bacterial species. The fungus elicited transcriptome changes in murine intestinal tissue, which included the activation of a reactive oxygen species-related defence mechanism and the induction of regulators of the circadian clock circuitry. Both responses have previously been described in the context of a complete bacterial microbiota. Imaging the intestine of animals monocolonized with the fungus or co-colonized with C. albicans and the gut bacteria Bacteroides thetaiotaomicron or Lactobacillus reuteri revealed that the fungus was embedded in a B. thetaiotaomicron-promoted outer mucus layer in the murine colon. The gel-like outer mucus constitutes a unique microhabitat, distinct in microbial composition from the adjacent intestinal lumen. This finding indicates that bacteria can shape the specific microhabitat occupied by the fungus in the intestine. Overall, the results described in this dissertation suggest that gnotobiotic mice constitute a valuable tool to dissect multiple aspects of the interactions among host, commensal fungi and cohabiting bacteria.
The clonal population structure of Candida albicans suggests that (para)sexual recombination does not play an important role in the lifestyle of this opportunistic fungal pathogen, an assumption that is strengthened by the fact that most C. albicans strains are heterozygous at the mating type locus (MTL) and therefore mating-incompetent. On the other hand, mating might occur within clonal populations and allow the combination of advantageous traits that were acquired by individual cells to adapt to adverse conditions. We have investigated if parasexual recombination may be involved in the evolution of highly drug-resistant strains exhibiting multiple resistance mechanisms against fluconazole, an antifungal drug that is commonly used to treat infections by C. albicans. Growth of strains that were heterozygous for MTL and different fluconazole resistance mutations in the presence of the drug resulted in the emergence of derivatives that had become homozygous for the mutated allele and the mating type locus and exhibited increased drug resistance. When MTLa/a and MTLα/α cells of these strains were mixed in all possible combinations, we could isolate mating products containing the genetic material from both parents. The initial mating products did not exhibit higher drug resistance than their parental strains, but further propagation under selective pressure resulted in the loss of the wild-type alleles and increased fluconazole resistance. Therefore, fluconazole treatment not only selects for resistance mutations but also promotes genomic alterations that confer mating competence, which allows cells in an originally clonal population to exchange individually acquired resistance mechanisms and generate highly drug-resistant progeny.
Regulation of gene expression by the control of transcription is essential for any cell to adapt to the environment and survive. Transcription regulators, i.e. sequence-specific DNA binding proteins that regulate gene expression, are central elements within the gene networks of most organisms. Transcription regulators are grouped into distinct families based on structural features that determine, to a large extent, the DNA sequence(s) that they can recognise and bind. Less is known, however, about how the DNA binding preferences can diversify within transcription regulator families during evolutionary timescales, and how such diversification can affect the biology of the organism.
In this dissertation I study the SREBP (sterol regulatory element binding protein) family of transcriptional regulators in yeasts, and in Candida albicans in particular, as an experimental system to address these questions. The SREBPs are conserved from fungi to humans and represent a subgroup of basic helix-loop-helix DNA binding proteins. Early chromatin immunoprecipitation experiments with SREBPs from humans and yeasts showed that these proteins bound in vivo to the canonical DNA sequence, termed E-box, most basic helix-loop-helix proteins bind to. By contrast, most recent analysis carried out with less-studied fungal SREBPs revealed a non-canonical DNA motif to be the most overrepresented sequence in the bound regions.
This study aims to establish the intrinsic DNA binding preferences of key branches of this family and to determine how the divergence in DNA binding affinities originated. To this end, I combined phylogenetic and ancestral reconstruction with extensive biochemical characterisation of key SREBP proteins. The results indicated that while the most-studied SREBPs (in mammals) indeed show preference for the E-box, a second branch of the family preferentially binds the non-E-box, and a third one is able to bind both sequences with similar affinity. The preference for one or the other DNA sequence is an intrinsic property of each protein because their purified DNA binding domain was sufficient to recapitulate their in vivo binding preference. The ancestor that gave rise to these two different types of SREBPs (the branch that binds E-box and the one that binds non-E-box DNA) appears to be a protein with a broader DNA binding capability that had a slight preference for the non-canonical motif. Thus, the results imply these two branches originated by either enhancing the original ancestral preference for non-E-box or tilting it towards the E-box DNA and flipping the preference for this sequence.
The main function associated with members of the SREBP family in most eukaryotes is the control of lipid biosynthesis. I have further studied the function of these proteins in the lineage that encompasses the human associated yeast C. albicans. Strikingly, the three SREBPs present in the fungus’ genome contribute to the colonisation of the mammalian gut by regulating cellular processes unrelated to lipid metabolism. Here I describe that two of the three C. albicans SREBPs form a regulatory cascade that regulates morphology and cell wall modifications under anaerobic conditions, whereas the third SREBP has been shown to be involved in the regulation of glycolysis genes.
Therefore, I posit that the described diversification in DNA binding specificity in these proteins and the concomitant expansion of targets of regulation were key in enabling this fungal lineage to associate with animals.