Abstract
Fungi are ubiquitous lifeforms that colonize a wide range of diverse environments. Many of them have a saprophytic lifestyle and are principal decomposers of our ecosystem. Fungi play an important role in our food and pharmaceutical industries, but their appearance can also be harmful to us. They are responsible for many diseases in humans and animals, ranging from allergies to life-threatening intoxications and mycoses. The infection of plants and the contamination of crops lead to high economic losses and pose a threat to food supply and safety. Fungal developmental programs, including the formation of infection structures, are closely linked to the production of specific chemicals, called secondary metabolites. This chapter describes these interrelated processes and their regulation, including the genetic networks linking transcriptional to epigenetic control of gene expression, protein degradation machineries, and the autophagy membrane trafficking pathway.
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I. Introduction
Fungi are ubiquitous lifeforms that can grow in a wide range of diverse environments. Based on current phylogenetic analyses, the fungal kingdom is divided into 8 phyla with 12 subphyla and 46 classes (Spatafora et al. 2017). The two monophyletic groups of Ascomycota and Basidiomycota form together the subkingdom of Dikarya. Many fungi have a saprophytic lifestyle. They live on decaying organic matter as principal decomposers of our ecosystem. Fungi play important roles in our food industry to make cheese, ferment soybeans, or brew beer and in the pharma industry to produce drugs (Gerke and Braus 2014). But their appearance can also be harmful to us. Fungal spores are dispersed through the air and can be inhaled into our lungs where most of them are inactivated as long as the immune system is not compromised (Shlezinger et al. 2017). Fungi are responsible for many diseases in humans and animals, ranging from allergies to life-threatening intoxications and mycoses. The infection of plants and contamination of harvest products by fungi lead to high economic losses and are a threat for food supply and safety (Meyer et al. 2016). In fungi, differentiation processes, including the formation of infection structures, are closely linked to the production of specific chemicals. These interconnected processes and their regulations are the main focus of this chapter.
A. Fungal Differentiation
Filamentous fungi of the Dikarya germinate from single spores and initially grow in long, tubular vegetative hyphae by tip extension (Riquelme et al. 2018). The Spitzenkörper, which is located at the hyphal tip, acts as a dynamic center for the organization and supply of the vesicles required for material transport. Hyphae fuse through anastomosis tubes at the tips and form branched two dimensional networks, called mycelia. When a certain state of developmental competence is reached, the fungus can respond to external signals to proliferate through either asexual or sexual differentiation (Fig. 8.1a). In asexual reproduction, the fungus produces spore-forming structures called conidiophores, which carry the uninuclear, mitotic-derived asexual spores called conidia (Adams et al. 1998). These airborne spores are distributed by the wind. In sexual reproduction, ascomycetes produce sexual spores called ascospores in a sac-shaped ascus.Footnote 1 In most species, each ascus carries eight spores which are formed by meiosis and subsequent mitotic division. The asci usually form within the protecting fruiting bodies, which can be closed and spherical (cleistothecia), closed and flask-like (perithecia), or open and cup-shaped (apothecia) and which serve as overwintering structures in the soil (Pöggeler et al. 2018). Whether asexual or sexual structures are formed depends strongly on the environmental conditions, such as nutrients, light, temperature, or oxygen availability. Fungi change their lifestyle also during the infection process. Whereas some fungi can gain entry into the host without forming specialized structures, there are many plant pathogenic fungi that produce adhesion and penetration structures, such as appressoria and hyphopodia. These penetration organs form tiny infection hooks and penetrate the host using turgor pressure and/or by secreting large amounts of plant cell wall-degrading enzymes (Lo Presti et al. 2015).
B. Fungal Secondary Metabolism
Whether a fungus initiates a differential program depends not only on environmental conditions but also on endogenous factors such as the formation of primary or secondary metabolites including pheromones. Metabolic programs are tightly connected with morphogenic differentiation through sophisticated signal sensing and transduction mechanisms as well as transcriptional networks. Whereas primary metabolites (also called central metabolites) are essential for the growth of an organism, secondary metabolites (also called specialized metabolites or natural products) are dispensable but offer advantages in the natural habitat of their producer. Usually, primary metabolites are the precursors for the biosynthesis of secondary metabolites, and the biosynthesis occurs during developmental or aging processes (Bayram et al. 2016). Several secondary metabolites directly related to development are known and show the close connection between these two processes in fungi (Fig. 8.1a). These secondary metabolites are involved, for example, in the initiation and regulation of development and in protection and survival. They are also required for communication, competition, and defense against other microorganisms as well as for virulence in plant and animal infections (Macheleidt et al. 2016; Künzler 2018).
Although the biological benefit of most secondary metabolites has not yet been understood, their biological activities have been used for a very long time. Already our ancestors used the healing extracts of fungi and plants as medicine and nowadays many fungal compounds serve as lead structures for the synthesis of new drugs (Newman and Cragg 2012). Examples of secondary metabolites with pharmaceutical relevance from ascomycetes are the antibiotic penicillin, the anticancer drug taxol, the cholesterol-lowering drug lovastatin, or the immunosuppressant ciclosporin. However, the biological activities of secondary metabolites can also be harmful for us. Fungi synthesize strong carcinogens and mycotoxins such as aflatoxins produced by Aspergillus and trichothecenes produced by Fusarium (Gerke and Braus 2014).
1. Secondary Metabolite Categories
Fungal secondary metabolites are categorized according to their biosynthesis in the four major groups polyketides, non-ribosomal peptides, terpenes, and indole alkaloids but comprise also mixed forms or smaller groups (Fig. 8.1b; Keller et al. 2005).
Polyketides are the most abundant secondary metabolites in fungi and are synthesized by type I polyketide synthases (PKS). Type I PKS are multi-domain enzymes similar to eukaryotic fatty acid synthases, consisting of the essential ketoacyl CoA synthase (KS), acyltransferase (AT), acyl carrier protein (ACP) domains, and a termination domain (Keller et al. 2005). Additionally, they can harbor variable domains like dehydratase, ketoreductase, enoylreductase, or methyltransferase domains. The domains are arranged in a module. Whereas bacterial PKS usually have multiple modules, the fungal PKS typically carries only one module, which can be used iteratively. The precursors for the biosynthesis of polyketides are usually acetyl coenzyme A (acetyl-CoA) and malonyl-CoA, but also propionyl-CoA or methylmalonyl-CoA are used. During the starting stage of polyketide synthesis, the precursors are loaded onto the starter domains KS and ACP, catalyzed by the AT domain. In the elongation stage, these loaded precursors are condensed by decarboxylative condensation similar to the fatty acid synthesis, resulting in a polyketide chain. By loading of another starter unit, the next cycle starts, and the polyketide chain is elongated by the new starter unit similarly. The control of how many cycles are performed is not yet understood. Finally, the polyketide chain is released from the enzyme by the termination domain (Keller et al. 2005).
Among the class of polyketides are several products that demonstrate the tight link between developmental processes and secondary metabolism by fulfilling survival or longevity tasks, inducing sexual development as hormones or conferring virulence. Typical examples are melanins, zearalenone, and T-toxin. Melanins are pigments that can be incorporated into the fungal cell wall or secreted to the environment. They strengthen the cell wall, protect the fungal spores from UV light, or can inhibit hydrolytic enzymes produced by other microorganisms (Toledo et al. 2017). Zearalenone, an estrogenic polyketide produced exclusively by different Fusarium species, is a sex hormone. Whereas loss of zearalenone prevents sexual reproduction, its addition can positively or negatively affect sexual development, depending on the applied concentrations (Wolf and Mirocha 1977). T-toxin is a polyketide produced by Cochliobolus heterostrophus , a necrotrophic fungal plant pathogen that causes southern corn leaf blight in maize. It is connected with high virulenceFootnote 2 in maize cultivars carrying the “Texas male sterile cytoplasm”, but it is not required for pathogenicityFootnote 3 itself. It contributes to virulence by disrupting the mitochondrial activity (Stergiopoulos et al. 2013).
Non-ribosomal peptides are peptides that are produced from proteinogenic and non-proteinogenic amino acids by enzymes called non-ribosomal peptide synthetases (NRPS) without the use of ribosomes. NRPS are multi-domain and multi-modular enzymes. Each module contains an adenylation domain for the recognition of the amino acid, a peptidyl carrier domain for the activation and covalent binding of the amino acid to the phosphopantetheine transferase cofactor (PPTase) and a condensation domain for peptide formation. The final peptide is usually released by a thioesterase domain at the C-terminus of the enzyme. The diversity of non-ribosomal peptides derives from cyclization or branching of peptides. Among them are, for instance, the antibiotic penicillin, siderophores, and gliotoxin. Siderophores are iron-chelating compounds produced for the uptake and storage of iron ions. Usually they contain hydroxamate groups that form strong iron(III) binding bidentates. Most filamentous fungi and some yeasts, except for the model organisms S. cerevisiae or C. albicans , produce siderophores. A fine-tuned system between iron uptake and storage is necessary to prevent the fungus from iron starvation or toxicity (Haas 2014). Gliotoxin is another prominent example of non-ribosomal peptides. It is a mycotoxin produced by human pathogens such as Aspergillus fumigatus , Trichoderma spp., and Penicillium spp. It inhibits the proteasome and prevents NF-κB activation (see Sect. V.A) as presumed virulence factor of A. fumigatus by targeting primarily the activity of neutrophils or other phagocytes of the host immune system (Scharf et al. 2016).
Terpenes are built up from isoprene units by terpene synthases (terpene cyclases). The subgroup of oxygenated forms of terpenes is called terpenoids. Most of known terpenes derive from plants, for example, the major constituents of essential oils. In terpene synthesizing fungi, they are produced by the mevalonate pathway. Prominent examples are the carotenoid pigments, the gibberellin phytohormones or the trichothecene mycotoxins (Schmidt-Dannert 2014).
Indole alkaloids are nitrogen-containing secondary metabolites incorporating one or more indole or indoline moieties (Xu et al. 2014). Mostly, the indole precursors are tryptophan or related indole-3-glycerol-phosphate. Tryptophan is prenylated with dimethylallyl pyrophosphate by dimethylallyl tryptophan synthases (DMATS). Ergotamine from Claviceps purpurea represents a prominent example for an indole alkaloid. It works as vasoconstrictor with structural similarity to several neurotransmitters and is medicinally used against acute migraine attacks (Schardl et al. 2006).
Besides the four main groups, there are additional classes of fungal secondary metabolites (Fig. 8.1b). Metabolites consisting of combinations of peptides and polyketides (peptide-polyketide hybrids), such as emericellamides or aspyridone, are formed by PKS-NRPS hybrids that contain all typical domains of the single PKS and NRPS (Du et al. 2001). Meroterpenoids are products with a partial terpenoid structure plus a polyketide or a peptide moiety (Matsuda and Abe 2016). An example for a meroterpenoid with a polyketide moiety is dehydroaustinol produced by A. nidulans . The addition of dehydroaustinol together with the polyketide diorcinol restores spore formation of A. nidulans mutants defective in sporulation, suggesting that these two compounds or derivatives serve as developmental signal for asexual sporulation (Rodríguez-Urra et al. 2012; Fig. 8.1a). Oxylipins (collectively termed psi-factor (precocious sexual inducer)) are oxygenated polyunsaturated fatty acids produced by oxygenases (Brodhun and Feussner 2011). In Aspergillus nidulans , three psi factor producing oxygenases PpoA, PpoB, and PpoC have been characterized producing mainly hydroxylated oleic (18:1) and linoleic (18:2) acid. A careful regulated system of oxylipins is necessary for a proper balance between asexual and sexual development (Tsitsigiannis et al. 2004). Besides these non-volatile oxylipins, also volatile oxylipins exist. They share an eight-carbon scaffold and are suggested to be involved in fungus-invertebrate interactions (Holighaus and Rohlfs 2018). Isocyanides , which function as chalkophores, contain nitrile groups and are synthesized by isocyanide synthases that can also occur as hybrids with NRPS. The first characterized isocyanide was xanthocillin, which is produced, e.g., by Penicillium notatum and by A. fumigatus (Lim et al. 2018).
2. Secondary Metabolite Clusters Are Often Silenced and Have to Be Activated for Analysis in the Laboratory
The large diversity of secondary metabolites is due to modifications that are performed after the initial step of building the skeleton. These include oxidations, cyclizations, methylations, dehydrations, or reductions. Fungal genes that are necessary for the biosynthesis of the final secondary metabolites as well as genes encoding proteins necessary for regulation of the synthesis or transport of the final metabolite product are usually, and similarly to genes for specialized or accessory primary metabolism, clustered together on one chromosomal locus (Rokas et al. 2018). The gene clusters enable an economical production of secondary metabolites due to transcriptional co-regulation. Most secondary metabolite biosynthetic gene clusters are silenced and are only expressed under very specific conditions. Especially under laboratory conditions, where the fungus does not naturally meet environmental triggers such as stressors or nutrient limitations, the analysis of secondary metabolism is difficult. The rapidly growing number of genome studies has shown that there are many more secondary metabolite clusters in the genome of fungi than metabolites have been identified so far (Andersen et al. 2013; Inglis et al. 2013; van der Lee and Medema 2016). In order to eliminate this discrepancy and exploit the full potential of fungal metabolite production, strategies have been developed to activate silenced gene clusters and thus enable their analysis in the laboratory (Gerke and Braus 2014; Ren et al. 2017).
The easiest way to induce secondary metabolite production is to change the growth parameters as described by the OSMAC (one strain many compounds) approach (Bode et al. 2002). Parameters such as temperature, media components, pH, air supply, and light can be varied to force the fungus to adapt its secondary metabolite repertoire. Since secondary metabolites are often used in nature for communication, competition, and defense, their production can also be stimulated by co-cultivation with other microorganisms (Netzker et al. 2015). Additionally, genes involved in the metabolite biosynthesis can be heterologously introduced and expressed in suitable hosts. Heterologous expression systems for fungal biosynthetic genes have been designed, e.g., for A. niger (Gressler et al. 2015), A. nidulans (Chiang et al. 2013), or A. oryzae (Sakai et al. 2012). Silenced biosynthetic gene clusters can also be awakened by manipulating the transcriptional machinery, the epigenetic status, or the degradation machinery of the cell.
In this chapter we focus on the molecular regulatory links of the coordinated and specific formation of secondary metabolites in different phases of fungal developmental programs, with a particular focus on the mold Aspergillus nidulans . This includes the control and interaction of different genetic networks, which can be organized chronologically and hierarchically and can contain several feedback functions. Genetic transcriptional control is linked to post-translational histone modifications as epigenetic control and specific signal transduction pathways. Several additional post-translational control mechanisms, such as the attachment and removal of ubiquitin, link fungal differentiation to the corresponding secondary metabolism by altering protein function and cellular localization and by controlling protein stability through the ubiquitin 26S proteasome as well as autophagy degradation pathways.
II. Transcriptional Networks Linked to Signal Transduction Pathways Control Development and Secondary Metabolism
Fungal growth and differentiation and the concomitant secondary metabolism occur in response to internal and external signals that are sensed through receptors and transported by highly controlled signal transduction pathways. This leads to a choreography of changes in transcription, translation, post-translational histone modifications and protein stability followed by proteomic changes. Several examples of well-studied signal transduction pathways and responding transcriptional regulatory circuits are summarized in the following section.
A. Transcriptional Networks Interact in Fungal Morphogenic Transitions
Transcriptional reprogramming plays a crucial role in the morphological transition from vegetative fungal growth to developmental programs. Besides chromatin modifications (see Sect. III), changes in transcriptomes are mediated by approximately 80 families of currently classified fungal DNA binding transcription factors including a few examples of dual factors with two distinct DNA binding domains. Ascomycetous transcription factors of the largest group carry a Zn2Cys6 zinc cluster domain. This domain is generally found in all fungi but also in a few additional non-fungal organisms. In contrast, four types of transcription factors carrying an APSES-type DNA binding domain (named after fungal developmental transcription factors Asm1, Phd1, Sok2, Efg1, and StuA), mating-type MAT α1, copper fist DNA-binding, or velvet domains are fungal specific. Notably, the mating-type protein is exclusively present in ascomycetes (Ahmed et al. 2013; Shelest 2017). The velvet domain is structurally similar to the immunoglobulin-like Rel homology domain of the mammalian transcription factor NF-κB p50 (Ahmed et al. 2013). The four velvet domain proteins of Aspergilli steer large hierarchical networks and interconnect developmental programs with secondary metabolism triggered by chemical, oxidative, light, or temperature sensing and subsequent signal transduction pathways (Bayram et al. 2008b; Bayram and Braus 2012; Lind et al. 2016).
1. Chemical Sensing and Oxidative Stress as Developmental Signal: How Fungi Smell Their Environment
Chemical sensing is accomplished by G protein-coupled receptors (GPCRs) with a common seven transmembrane domain architecture that initiate signal transduction through binding to the heterotrimeric Gα, Gβ, and Gγ protein complex. In Aspergilli, three different Gα, one Gβ, and one Gγ protein exist (de Vries et al. 2017; Brown et al. 2018). GPRCs are the largest fungal group of surface receptors important for sensing of pheromones, nutrients, and host cells in pathogenic interactions. For instance, the binding of a pheromone to the receptor initiates GDP-GTP exchange on the Gα protein that then dissociates from the βγ dimer and typically activates a three-step mitogen-activated protein (MAP) kinase cascade, which finally changes transcription. The result of this well conserved cascade in fungi is a cell cycle arrest and the cellular fusion of both mating partners (Bahn et al. 2007). Further, similar sensing systems through G protein-coupled receptors with different transcriptional outcomes exist for different macro- and micronutrients including glucose as main carbon energy source. Glucose is sensed through the sugar receptor Gpr1 (G protein-coupled receptor 1) that stimulates Gpa2 resulting in increased cyclic adenosine monophosphate (cAMP) levels through activation of adenylyl cyclase and protein kinase A (PKA). Active PKA inhibits the Atg1 (autophagy-specific gene 1) initiation kinase of autophagy degradation pathways (see Sect. V.B). Specialized sugar transporters such as yeast Snf3 (sucrose nonfermenting 3) and Rgt2 (restores glucose transport 2) act as sensors inducing signal transduction and changed transcription (Bahn et al. 2007).
The regulation of the mycotoxin sterigmatocystin in A. nidulans works through a Gα-PKA pathway. The Gα protein FadA (fluffy autolytic dominant A) activates PkaA (protein kinase A A), which in turn is a repressor of the specific transcription factor of the sterigmatocystin biosynthesis cluster, AflR (aflatoxin regulator). The activation of the Gα protein FadA is inhibited by the fluffy low brlA protein FlbA (Shimizu et al. 2003; Fig. 8.2).
Reactive oxygen species (ROS) function as signalling molecules in light perception and redox biology and thereby induce fungal development (Gessler et al. 2007). Therefore, an impact on ROS homeostasis is often linked to distorted development in filamentous fungi (Nahlik et al. 2010; Kolog Gulko et al. 2018). Fungi respond to oxidative stress induced by ROS through activation of a MAP kinase pathway (Yu and Fischer 2019). The MAP kinase Hog1 (high osmolarity glycerol response 1) of S. cerevisiae or its homologue SakA (stress activated kinase A) in A. nidulans are activated by ROS and in turn induce transcription factors needed for the induction of the oxidative stress response, such as the A. nidulans AtfA (activating transcription factor A). These transcription factors regulate different antioxidants, such as superoxide dismutases, catalases, peroxidases, glutathione peroxidases, peroxiredoxins, and antioxidative secondary metabolites. The stress-activated kinase SakA is not only induced by ROS but also by light, mediated through the red light photoreceptor FphA (fungal phytochrome A), which represses fruiting body formation in A. nidulans (Yu and Fischer 2019). SakA additionally mediates repression of the A. nidulans NADPH oxidase gene noxA, which is essential for different steps during sexual fruiting body formation (Lara-Ortíz et al. 2003).
2. Light Response: The Fungal Vision
Almost all fungi are able to perceive changes in light or temperature conditions. Light is perceived as a signal and also as a stressor and induces a wide range of responses by inducing different genetic networks resulting in changes in development (photomorphogenesis), secondary metabolism, circadian clock, phototropism, or DNA repair (Bayram et al. 2016; Cetz-Chel et al. 2016; Fischer et al. 2016). The developmental light responses vary considerably between different fungi. Blue or red light can promote asexual spore formation in A. nidulans (Fig. 8.1a) but inhibit sporulation in Botrytis cinerea (Tan 1974). Similarly, A. nidulans sexual fruiting bodies are preferentially formed in darkness, but Trichoderma reesei forms its corresponding sexual structures in light (Pöggeler et al. 2018).
Typical fungal photosensory systems include light sensors specific for different wavelengths from 350 to 650 nm distributed into four types of light receptor proteins. The white collar proteins perceive blue light, phytochromes sense red light, opsins are specific for green light, and cryptochromes react to blue and ultraviolet (UV) light. The light perception occurs through binding of the photoreceptor to a chromophore, which are flavin for blue and UV light, linear tetrapyrrole for red light and retinal for green light.
White collar (WC) proteins are blue-light regulated transcription factors with a GATA-type zinc finger DNA binding domain and three PAS (Per, Arnt, Sim) domains directly controlling gene expression. One of the PAS domains is a LOV (light oxygen voltage) domain, which is able to bind the chromophore flavin. In Neurospora crassa , two WC proteins are present, WC-1 and WC-2 (Wu et al. 2014). They form a heterodimeric complex through the PAS domains, which binds to light response elements in the dark and activates light-induced transcription after phosphorylation and dissociation of WC-1. The complex regulates approximately 20% of the N. crassa genes encoding transcription factors as large hierarchical network responding to light and acting downstream of the WC complex in light and circadian clock control (Wu et al. 2014). Besides the typical WC proteins, blue light photoreceptors with only one LOV domain (vivid, VVD) exist that act in fine-tuning the light response (Malzahn et al. 2010).
N. crassa biosynthesis of carotenoid secondary metabolites and asexual spore formation are dependent on light and controlled by the circadian clock (Rodriguez-Romero et al. 2010). WC-1 comprises a flavin mononucleotide binding LOV domain for environmental sensing of light, oxygen, and voltage. The WC-1 and WC-2 zinc fingers dimerize to form the white collar complex transcription factor for DNA binding. WC-1 and WC-2 complexes are conserved in numerous fungi with sometimes several orthologs. WC-1 homologs of pathogenic species are connected to virulence, probably through secondary metabolite production (Idnurm et al. 2010; Fischer et al. 2016). The white collar complex of Aspergilli, LreA/LreB (light response ), activates the expression of the brlA (bristle A) gene encoding the central transcription factor of the conidiation pathway in response to light (Ruger-Herreros et al. 2011, Fig. 8.2). The brlA promoter is repressed by binding factors such as NsdD (never in sexual development D ) or the velvet domain protein VosA (viability of spores A) (Ni and Yu 2007). brlA must be activated through a complex cascade of early genes for proteins which produce small signal molecules (fluG: fluffy G) or act as transcription factors (flbB-E: fluffy low brlA B-E; sclB: sclerotia-like B). Activation of brlA by light then activates the downstream pathway with the genes abaA (abacus) and wetA (wet-white; Fig. 8.2; Thieme et al. 2018).
Phytochromes are multi-domain photoreceptors that bind linear tetrapyrrole as chromophore at their N-terminal photosensory domain and have red/far-red light absorbance properties. The tetrapyrrole undergoes a conformational change upon red light induction and thereby changes its spectroscopic properties by shifting the absorption maximum toward far-red light. The photosensory domain consists of a PAS, a GAF (vertebrate cGMP-specific phosphodiesterases, cyanobacterial adenylate cyclases, transcription activator FhlA) and a PHY (phytochrome-specific PAS-related) domain. The further domains are a histidine kinase domain and a response regulator domain. Phytochromes seem to be absent from Mucoromycotina fungi but might be present in some Chytridiomycetes and have been extensively studied in Aspergilli (Fischer et al. 2016). The A. nidulans phytochrome FphA interacts with the white collar orthologs LreA and LreB, corresponding to WC-1 and WC-2, and the velvet transcription factor VeA (see Sect. II.B.2) that coordinates development and secondary metabolism (Purschwitz et al. 2008; Bayram et al. 2008b; Fig. 8.2). LreA binds to its target sequences in the dark in dependency of FphA while being released after illumination with blue or red light (Blumenstein et al. 2005; Hedtke et al. 2015). LreA modulates gene expression together with FphA through modification of histone H3 by interacting with the acetyltransferase GcnE (general control nonderepressible E) and the histone deacetylase HdaA (Grimaldi et al. 2006; Hedtke et al. 2015). FphA of A. nidulans is a phytochrome with light-driven histidine kinase activity and presumably transmits the white collar and phytochrome light signal directly to the velvet protein VeA by phosphorylation (Rauscher et al. 2016). This results in an enhancement of asexual development in light and a delay in dark, where sexual development is favored. After 30 min of illumination as minimum time required to initiate conidiation, 19% of the transcriptome of competent A. nidulans mycelia reacts to light (Bayram et al. 2010, 2016; Hedtke et al. 2015; Macheleidt et al. 2016). Austinol and dehydroaustinol (see Sect. I.B.1) are secondary metabolites connected to conidiospore production that are only produced in light but not in dark (Rodríguez-Urra et al. 2012).
Cryptochromes are blue and UV light receptors with similarities to blue light-dependent DNA repairing photolyases, carrying a photolyase domain (Idnurm et al. 2010; Fischer et al. 2016). They bind non-covalently to flavin adenine dinucleotide (FAD) as well as other chromophores such as pterin or deazaflavin. The cryptochromes CryA of A. nidulans and Cry1 of T. reesei are so far the only known dual-function cryptochrome/photolyase proteins. A. nidulans CryA inhibits sexual development in UV light and has a DNA repair function (Bayram et al. 2008a), whereas T. reesei Cry1 is needed for light-induced transcription besides its DNA repair function in conidia (García-Esquivel et al. 2016). In N. crassa , Cry1 acts as transcriptional repressor of the white collar blue light complex without photolyase activity (Nsa et al. 2015).
Opsins , the green light receptors, are membrane-bound proteins associated with a retinal chromophore. They are related to bacterial and archaeal rhodopsins that, in their activated form, channel ions across the membrane (Yu and Fischer 2019). In filamentous fungi, opsins are poorly characterized. In F. fujikuroi , the opsin CarO (carotenoid O) was described as green light-driven proton pump that is involved in spore germination (García-Martínez et al. 2015). In contrast, the N. crassa NOP-1 (Neurospora opsin-1) lacks proton pump activity but is involved in the regulation of the switch between asexual and sexual development in response to light and ROS levels (Wang et al. 2018).
B. Gene Expression for Secondary Metabolite Production Is Interconnected with Morphological Differentiation
Environmental stimuli such as light, oxygen, pH, and nutrients affect fungal morphological programs as well as the tightly interconnected specific secondary metabolite production. Accordingly, defects in light control affect secondary metabolism. One example is Fusarium fujikuroi , which is impaired in secondary metabolite production when the white collar blue light sensor WC-1 is defective, and which uses its cryptochrome CryD to repress the production of the antibiotic bikaverin during growth in light (Estrada and Avalos 2008; Castrillo et al. 2013).
1. Expression of Silenced Secondary Metabolite Clusters by Specific and Global Regulators
Filamentous fungi are a vast reservoir of yet undescribed secondary metabolites, carrying dozens of usually clustered but only specifically expressed biosynthetic gene clusters. Many of these clusters are controlled by cluster-specific, poorly conserved transcription factors (Alberti et al. 2017; Keller 2018). In addition, there are several master regulators of secondary metabolism such as the originally in A. nidulans described methyltransferase LaeA or the multi-cluster regulator A (McrA). LaeA is encoded by a conserved regulatory gene with homologues in filamentous fungi such as Fusarium, Penicillium, Trichoderma, and Aspergillus (Bok and Keller 2016). Absence of laeA or overexpression of mcrA results in silencing, whereas laeA overexpression or mcrA deletion leads to increased production of several secondary metabolites (Bok and Keller 2016; Oakley et al. 2016). The fact that only some global regulators are conserved, whereas the targets of individual regulators differ considerably, correlates with the finding that secondary metabolite genes are more variable and significantly less conserved than genes of the primary metabolism (Lind et al. 2015).
2. The Fungal Velvet Complex Physically Connects Transcriptional and Heterochromatin Control to Coordinate Secondary Metabolism and Development
Velvet proteins with their characteristic velvet domain, such as VeA (velvet A), VelB (velvet-like B) VelC (velvet-like C), and VosA in A. nidulans , form complex regulatory networks by direct DNA binding to thousands of target gene promoters in numerous fungi (Ahmed et al. 2013; Becker et al. 2016; Fig. 8.2). The master regulator of secondary metabolism LaeA is physically linked to the heterodimer VeA-VelB to coordinate secondary metabolite biosynthesis with developmental programs. It was originally shown in A. nidulans that this VelB-VeA-LaeA complex is required for the appropriate formation of fruiting bodies and concomitant production of the aflatoxin family metabolite sterigmatocystin (Bayram et al. 2008b). LaeA is a methyltransferase and acts as epigenetic control element by counteracting the silencing heterochromatic lysine 9 methylation marks at histone H3 in secondary metabolite clusters (Strauss and Reyes-Dominguez 2011; see Sect. III.A). VeA, which provides the interphase of the trimeric complex, therefore physically links transcription to post-translational epigenetic control of histone modifications (Sarikaya-Bayram et al. 2015). Velvet proteins and LaeA contribute to the virulence of several fungi, possibly through mycotoxin production (Wiemann et al. 2010; Kumar et al. 2016; López-Díaz et al. 2018). The trimeric velvet complex is conserved in the fungal kingdom and can physically interact through VeA with the phytochrome FphA as part of the light and presumably temperature control machinery (Lind et al. 2016; Yu and Fischer 2019). The light reception through VeA-FphA-LreA-LreB is presumably less stable and rather transient in comparison to the velvet complex VelB-VeA-LaeA (Bayram et al. 2010).
3. Velvet Domain Transcription Factors Expand Their Transcriptional Networks Through Formation of Sub-networks
Velvet domain proteins control several genetic networks either acting as homo- or heterodimers (Fig. 8.2). VelB does not only support as VelB-VeA heterodimer sexual development linked to its specific secondary metabolism but also represses asexual development in combination with the velvet protein VosA as VelB-VosA together with VosA-VosA (Park and Yu 2012). Additionally, VelB-VosA is a positive regulator for spore viability (Park and Yu 2012). How the formation of the different VosA complexes is regulated is still unknown. Velvet proteins bind to promoters of hundreds of genes, including genes for additional transcription factors, which in turn control their own genetic network (Ahmed et al. 2013).
VosA directly represses the central asexual regulator gene brlA and the gene for the Zn2Cys6 zinc cluster domain transcriptional activator SclB. The SclB network induces early developmental genes including brlA to promote asexual sporulation and to support spore viability. SclB links asexual spore formation to its specific secondary metabolism, including the putative signal molecule dehydroaustinol, and to the fungal oxidative stress response (Thieme et al. 2018). This illustrates a convoluted surveillance apparatus, including sub-networks with feedback mechanisms and overlapping as well as antagonistic functions, to perform fungal development and its accurate linkage to the appropriate secondary metabolism (Fig. 8.2). Developmental functions of velvet domain proteins are rewired in different fungi. Whereas veA is dispensable for conidiation in A. nidulans , the veA homolog of N. crassa ve-1 regulates asexual sporulation (Bayram et al. 2008c). Rewiring of transcriptional regulation is presumably, together with gene mutations and gene transfer, an important driving force to evolve fungal divergences and to adapt to different lifestyles (Nocedal et al. 2017).
III. Epigenetics and Fungal Secondary Metabolism and Development
Secondary metabolite gene clusters evolved either from gene relocations with sometimes prior gene duplication or, in rarer cases, by horizontal gene cluster transfer from bacteria to fungal ancestors (Rokas et al. 2018). Clustering offers the economic advantage that these genes can be transcriptionally co-regulated by changes in the chromatin structure through covalent chromatin modifications (Fig. 8.3). These chromatin regulations can be inherited to the next generation of spores and are therefore epigenetic (epi-: “over, outside of”), which describes heritable phenotypic changes that are not caused by a change in the DNA sequence. In chromatin, the DNA is wrapped twice around eight histones (two H2A, two H2B, two H3, and two H4) to form the nucleosome. With the help of non-histone proteins, the nucleosomes are tightly packed up to the chromatin fiber and then condensed further yielding the chromosome structure. Two different types of chromatin exist which can be distinguished by their condensation state. Euchromatin is the less condensed active form, which allows gene transcription. Heterochromatin is the highly condensed and transcriptionally inactive form that can either be constitutive and serve as structural element of the chromosomal centro- and telomeres or be facultative and switch to transcriptionally active euchromatin. Covalent modifications of DNA or histones determine whether hetero- or euchromatin is formed. DNA can be reversibly modified by methylation, whereas lysine residues of histones can be methylated, acetylated, ubiquitinated, or sumoylated, and serine residues can be phosphorylated (Kouzarides 2007). Writers and erasers, which attach and remove modifications, modify chromatin in different possible combinations. This results in a histone code in a certain genomic region, which is recognized by readers. Readers induce the restructuring of chromatin into the open euchromatin or the closed heterochromatin form and by this regulate fungal development and secondary metabolism (Pfannenstiel et al. 2018; Keller 2018). In the following paragraphs, we will discuss some writers and erasers in more detail with the focus on consequences of histone or DNA modification on secondary metabolism and development.
A. DNA and Histone Methylation and Demethylation
Methylation of chromatin can occur at DNA and histones. Cytosine modification of DNA is conserved between plants, mammals, and the fungus N. crassa , but has not been found in all fungi. Histone methylations and demethylations at lysine and arginine residues are present in plants, mammals, and fungi and important for fungal development and the associated secondary metabolism (Liu et al. 2010a; Greer and Shi 2012; Nie et al. 2018; Fig. 8.3). Arginines can be mono- or dimethylated (symmetric or asymmetric) and are less well studied than lysine modifications, which include mono-, di-, or trimethylations. Protein arginine (R) methyltransferases (PRMTs) are divided into four major classes according to the methylation pattern they provide (Bachand 2007; Stopa et al. 2015). Three of nine human PRMTs (PRMT1, PRMT3, PRMT5) are conserved in yeast or filamentous fungi (Bachand 2007). The corresponding A. nidulans proteins RmtA and RmtC possess H4R3Footnote 4 specificity, whereas RmtB can methylate the histones H4, H3, and H2A in vitro and all three methylate additional non-histone substrates that affect transcriptional regulation (Lee and Stallcup 2009; Bauer et al. 2010). RmtA and RmtC can affect mycelial growth, oxidative stress response, development, or secondary metabolism in different Aspergilli, whereas the role and the non-histone substrates of RmtB still remain unclear (Bauer et al. 2010; Satterlee et al. 2016).
Lysine methylation usually occurs at histones 3 and 4. The methyltransferase Set1 (SET domain-containing 1) is part of the eight subunit COMPASS (COMPlex ASsociated with Set1) complex involved as writer in mono-, di-, and trimethylation of histone H3K4 euchromatin marks in fungi and in humans. Whereas dysfunction in humans has been linked to several types of human cancer (Meeks and Shilatifard 2017), the degree of H3K4 methylation in fungi has important implications on development and secondary metabolism. Defects in COMPASS subunits, which significantly reduce H3K4Me3Footnote 5 euchromatin marks, change significantly the secondary metabolite production profile in Aspergillus and Fusarium, and the development of Aspergillus (Palmer et al. 2013a; Studt et al. 2017). COMPASS-dependent methylation of H3K4 is connected to the methylation of H3K79 by the non-Set domain-containing enzyme Dot1 (disruptor of telomeric silencing 1) and dependent on histone H2B ubiquitination (Shilatifard 2012). Dot1 is to date the only non-SET domain-containing enzyme for histone H3K79 methylation and controls, e.g., production of aflatoxin, conidiation, sclerotia formation, and pathogenicity of A. flavus (Liang et al. 2017).
Another epigenetic mark commonly associated with “active” chromatin is the trimethylation of H3K36 performed by the methyltransferase Set2, which is able to mono-, di-, and trimethylate this residue (Wagner and Carpenter 2012). Methylation of H3K36 controls N. crassa development as well as vegetative growth, fungal virulence, and secondary metabolism of F. verticillioides (Adhvaryu et al. 2005; Gu et al. 2017). Ash1 (asymmetric synthesis of HO 1) represents a second histone methyltransferase for H3K36 in N. crassa or F. fujikuroi . N. crassa methyl tags deposited by Set2 mark actively transcribed genes, whereas the H3K36 methylation by Ash1 occurs in inactive genes. F. fujikuroi Ash1 is involved in developmental processes and secondary metabolism (Janevska et al. 2018; Bicocca et al. 2018).
Repressive marks associated with gene silencing and heterochromatic regions include the trimethylation of H3K9 or H3K27, which are enriched in silenced fungal secondary metabolite gene clusters. The H3K27 mark is not used in A. nidulans , but in F. graminearum , where the methyltransferase Kmt6 is responsible for the establishment of the H3K27Me3 and regulates production of many secondary metabolites as well as development (Connolly et al. 2013).
Lysine demethylation is performed by histone demethylases, such as KdmA (lysine (K)-demethylase A) and KdmB of A. nidulans . Both are erasers that remove methyl marks from histone H3. KdmA demethylates H3K36Me3 and has a dual role in transcriptional regulation as co-repressor of primary metabolism genes and activator of secondary metabolite genes. KdmB demethylates H3K4Me3 and promotes transcriptional downregulation as prerequisite for accurate induction of A. nidulans secondary metabolism (Gacek-Matthews et al. 2015, 2016).
One of the first described Aspergillus proteins with a methyltransferase domain is LaeA, a master regulator of secondary metabolism. LaeA, which is part of the velvet complex (see Sect. II.A.2), possesses automethylation activity (Patananan et al. 2013). Additionally, it counteracts H3K9Me3 marks in repressive heterochromatin, activating many secondary metabolite biosynthetic gene clusters (Reyes-Dominguez et al. 2010, Fig. 8.3). However, the exact molecular mechanism of LaeA function is yet unknown. There are nine additional A. nidulans LaeA-like methyltransferases (LlmA-LlmG, LlmI, LlmJ) that share sequence similarity with LaeA. LlmF interacts with VeA in the cytoplasm and reduces its nuclear import, resulting in altered development and secondary metabolism, whereas the interaction of VeA with LaeA takes place in the nucleus (Palmer et al. 2013b, Fig. 8.2). VeA interacts with at least two additional methyltransferases in both cellular compartments, the VeA interacting protein C (VipC) and the VipC-associated protein B (VapB). The nuclear heterodimeric methyltransferases VipC-VapB are, together with the membrane tethering zinc finger domain protein VapA (VipC associated protein A), part of a novel type of epigenetic signal transduction pathway (Sarikaya-Bayram et al. 2014, Fig. 8.2). VapA can exclude VipC-VapB from the nucleus by forming the membrane-bound trimeric VapA-VipC-VapB complex. Release of the VipC-VapB heterodimer from VapA is induced by a yet elusive molecular trigger and leads to its transport from the membrane to the nucleus. VipC-VapB interaction with VeA in the cytoplasm inhibits its nuclear accumulation, resulting in decreased sexual development and corresponding secondary metabolism. Without VeA interaction, VipC-VapB enters the nucleus and activates the light-promoted brlA master regulatory gene of conidiation and thereby the asexual differentiation program, for instance, by decreasing heterochromatin through VapB, which was shown to reduce H3K9Me3 marks (Sarikaya-Bayram et al. 2014; Figs. 8.2 and 8.3).
B. Histone Acetylation and Deacetylation
Histone hyperacetylation at amino groups of lysine residues is, in most cases, associated with euchromatin, whereas deacetylation results in heterochromatin formation (Fig. 8.3). Promoter spreading of histone H3 or H4 acetylation results in higher transcription and production of secondary metabolites of the aflatoxin family in Aspergilli (Roze et al. 2007; Reyes-Dominguez et al. 2010).
Histone acetylation is performed by type A or type B histone acetyltransferases (HATs) as writers. Cytoplasmic type B HATs acetylate newly synthesized histones prior to their assembly into nucleosomes, whereas nuclear type A HATs acetylate nucleosomal histones.
A well-studied group of type A HATs are the Gcn5-related N-acetyltransferases (GNAT). They catalyze the transfer of acetyl groups to lysine residues on the histones H2B, H3, or H4 from acetyl-CoA donors. Founding member of the family is the yeast Gcn5 (general control non-derepressed 5), a transcriptional cofactor associating as HAT with several complexes (e.g. SAGA: Spt-Ada-Gcn5-Acetyltransferase). The A. nidulans SAGA complex acetylates the histone sites H3K9 and H3K14 and regulates the biosynthesis of penicillin, sterigmatocystin, terrequinone, and orsellinic acid (Nützmann et al. 2011). Gcn5 is important for the control of the mycotoxin deoxynivalenol biosynthesis in Fusarium graminearum (Kong et al. 2018). Numerous homologs of S. cerevisiae Gcn5 in filamentous fungi are involved in growth, development, regulation of secondary metabolite production, and pathogenicity.
The MYST (MOZ, Ybf2, Sas2, and Tip60) family represents another type A HAT group with a characteristic zinc finger in the highly conserved MYST domain, which acetylates H2A, H3, and H4 lysine residues. EsaA (essential SAS2-related acetyltransferase A), a MYST HAT of A. nidulans , is an activator of secondary metabolism by acetylating H4K12 in the sterigmatocystin, penicillin, terrequinone, and orsellinic acid gene clusters (Soukup et al. 2012). MYST3 of A. parasiticus is required for aflatoxin production (Roze et al. 2011b).
Histone deacetylation in fungi is performed by erasers such as the classical histone deacetylases (HDACs) of class I (Rpd3/Hos2-type) or class II (HDA1-type), with a zinc ion in their catalytic site, or by non-conventional class III SIR2-type sirtuin HDACs, which require NAD+ as cofactor (Brosch et al. 2008).
Yeast Rpd3 (reduced potassium dependency factor 3) as name-giving class I HDAC regulates transcription by RNA polymerases I and II through chromatin silencing and controls mitosis, meiosis, aging, or macroautophagy (see Sect. V.B). The corresponding A. nidulans RpdA deacetylates H3 and H4 and is essential for growth and conidiation (Tribus et al. 2010). Trichostatin A, an inhibitor of classical HDACs such as RpdA, is a promising anticancer drug (Bauer et al. 2016) and inhibits appressorium formation and decreases pathogenicity of the rice blast fungus Magnaporthe oryzae (Izawa et al. 2009). A. nidulans HosA (corresponding to yeast Hos2 (Hda One similar 2)) is another class I HDAC, which deacetylates H4 and represses orsellinic acid production but has inducing effects on other secondary metabolites by overriding the regulatory effects of other HDACs (Pidroni et al. 2018). The corresponding A. oryzae protein (HdaD/Hos2) is involved in the regulation of growth, asexual development, stress response, and the biosynthesis of the industrially important chelator agent kojic acid (Kawauchi and Iwashita 2014).
The class II Hda1-type HDACs include HdaA of A. nidulans , which represses sterigmatocystin and penicillin gene clusters as well as additional clusters located close to telomeres. HdaA, which can be overridden by class I HDAC HosA, is therefore an antagonist of the positive secondary metabolite gene cluster regulator LaeA (see Sects. II.B.2 and III.A). Analysis of the corresponding proteins of Alternaria alternata or Penicillium expansum further support HDAC-mediated repression of secondary metabolism as conserved function in fungi. One exception is the A. fumigatus gliotoxin cluster, which is activated by HdaA. The protein is additionally required for growth and germination but not for virulence in this fungus (Shwab et al. 2007; Lee et al. 2009).
Class III SIR2-type sirtuins HDACs include SirA, which deacetylates H4K16 in the promotor regions of the sterigmatocystin and penicillin gene clusters and controls together with the sirtuin HstA (homolog of SIR Two A) the formation of these metabolites. Some secondary metabolite genes are repressed, whereas others are activated, which reflects the complex control of histone modifications (Shwab et al. 2007; Shimizu et al. 2012; Itoh et al. 2017). This is further illustrated by the Aspergillus oryzae sirtuin HstD, which controls the expression of the velvet complex member LaeA and thus the kojic acid production and conidiation (Kawauchi et al. 2013).
C. Histone Phosphorylation, Ubiquitination, and Sumoylation
In addition to methylation and acetylation, further post-translational histone modifications comprise phosphorylation, ubiquitination, or sumoylation. These modifications were rather analyzed in yeast than in filamentous fungi. Histone phosphorylations by kinases that transfer the phosphate group from ATP to the hydroxyl group of the modified amino acid take place at serines, threonines, or tyrosines and are reversed by phosphatases. Phosphorylation of H3S10 is crucial for yeast chromosome condensation and cell cycle progression during mitosis and meiosis (Nowak and Corces 2004).
Ubiquitination of histones by ubiquitin ligases is the covalent attachment of the small modifier ubiquitin to lysine residues and is reversed by deubiquitinating enzymes (DUBs, see Sect. IV.B). Methylation of H3K4 is mediated by the ubiquitination of H2BK123 in yeast (Sun and Allis 2002). These concerted histone modifications on distinct histone tails are referred to as trans-tail regulation (Zheng et al. 2010). Similar to ubiquitination, sumoylation is the covalent attachment of the small ubiquitin-like modifier (SUMO) to lysines of proteins through the activity of an E1-E2-E3 enzyme cascade. Sumoylation has been found for all four histones and is associated with transcriptional repression. SUMO, which is required for multicellular fungal development in A. nidulans , most likely blocks the histone modification sites to prevent acetylation or ubiquitination (Nathan et al. 2006; Harting et al. 2013). Co-purification experiments identified SUMO-associated proteins connected to the ubiquitin network involved in A. nidulans histone modification. They include one subunit of the COMPASS complex required for histone methylation as well as subunits of the SAGA complex for histone acetylation (Harting et al. 2013). Like other post-translational modifications, ubiquitin and ubiquitin-like modifications do not only modify histones but also other proteins and thereby can influence their activity, function, localization, or stability and affect fungal secondary metabolism and development (see Sects. III and IV).
D. Epigenetic Tools to Activate Silenced Gene Clusters
The crucial role of histone modifications such as methylation or acetylation in the regulation of secondary metabolism can be utilized in the laboratory for the identification of new secondary metabolites. Epigenetically silenced clusters can be reactivated by changes in chromatin modifications. Deletion of the genes encoding HDACs, which are generally associated with transcriptional repression, can lead to derepression of secondary metabolite gene clusters. Accordingly, penicillin and sterigmatocystin gene clusters of A. nidulans are activated when the HDAC gene hdaA had been deleted (Shwab et al. 2007). These types of experiments have resulted in chemical epigenetics as an emerging new research field (Okada and Seyedsayamdost 2017). The addition of HDAC or methyltransferase inhibitors to fungal cultures alters the epigenetic status of the cells to activate, identify, and study new secondary metabolite gene clusters and their products. The advantage of this method is that the fungus does not have to be genetically modified, and it can therefore be applied to any organism. Examples for such inhibiting chemicals are the HDAC inhibitors valproic acid, trichostatin A (see Sect. III.B) and its synthetic derivative suberoylanilide hydroxamic acid (SAHA), or the DNA methyltransferase inhibitor 5-azacytidine (5-AZA). Successful chemical epigenetics approaches were applied in many different fungi, such as A. alternata and P. expansum (Shwab et al. 2007), Cladosporium cladosporioides and Diatrype disciformis (Williams et al. 2008), A. niger (Fisch et al. 2009; Henrikson et al. 2009), and A. fumigatus (Magotra et al. 2017).
IV. The Role of Ubiquitination and Deubiquitination in Fungal Development and Secondary Metabolism
The importance of post-translational modifications for coordinated fungal development and secondary metabolism is not restricted to histone modifications such as the epigenetic control in connection with transcriptional networks. Target protein modifications by phosphate, ubiquitin, or ubiquitin-like proteins are also essential for the accurate adjustment of the fungal proteome. They alter the physical and chemical properties of a protein in response to external or internal stimuli in order to regulate and control its activity, half-life, transport, and subsequent cellular localization. These processes, which include the highly conserved ubiquitin-26S proteasome pathway (UPP) for protein stability control, are prerequisites for accurate fungal differentiation and physiology.
A. The Ubiquitin Attachment Machinery Influences Fungal Development and Secondary Metabolism on Several Layers
Ubiquitin is the most prominent modifier of the family of ubiquitin-like proteins (UBL), which includes SUMO, the cullin modifier neural precursor cell expressed, developmentally downregulated 8 (Nedd8) or autophagy-related modifiers (Atg8, Atg12; see Sect. V). Ubiquitin consists of 76 amino acids and is encoded as fusion to ribosomal proteins or as head-to-tail fusions of many ubiquitin moieties encompassing two ubiquitin genes in filamentous fungi such as A. nidulans or four in S. cerevisiae (Noventa-Jordão et al. 2000; Lee et al. 2017). These ubiquitin fusion proteins have to be cleaved by deubiquitinating enzymes (DUBs) to create a pool of ubiquitin monomers that can be used for the actual ubiquitination reaction (Grou et al. 2015). Ubiquitin is essential for fungal growth, although single deletion strains can grow but have strong defects in fungal growth, stress response, and development (Leach et al. 2011; Oh et al. 2012).
About 20% of all A. nidulans proteins are ubiquitinated during hyphal growth and are located in the nucleus, whereas in S. cerevisiae the biggest portion is contained in the transmembrane protein fraction (Peng et al. 2003; Chu et al. 2016). Ubiquitin itself contains seven conserved lysine residues (K6, K11, K27, K29, K33, K48, K63), which can be used for ubiquitin chain formation. The attachment of ubiquitin chains linked through a certain lysine residue can alter activity, localization, or stability of the substrate. The K48-linked polyubiquitin chains are the most abundant in yeast and usually mark the modified protein for degradation by the 26S proteasome (Spasser and Brik 2012; Zuin et al. 2014).
The attachment of ubiquitin as well as other ubiquitin-like proteins involves an enzyme cascade consisting of E1 activating, E2 conjugating, and E3 ligase enzymes (Fig. 8.4). An E1 enzyme activates ubiquitin in an ATP-dependent reaction by formation of a thioester bond. The corresponding E1 encoding UBA1 (ubiquitin activating 1) gene of S. cerevisiae is essential for spore formation and vegetative growth (McGrath et al. 1991). The activated ubiquitin molecule is transferred to E2, which can physically interact with E3 ubiquitin ligases. Several yeast genes encoding E2 enzymes as well as the polyubiquitin encoding locus are induced during heat stress or starvation conditions (McGrath et al. 1991; Hiraishi et al. 2006). E3 ubiquitin ligases are classified into the cullin-RING ligase (CRLs) and the HECT (homologous to E6AP carboxyl terminus) ubiquitin ligase families.
Fungi such as A. nidulans express three cullin proteins (CulA, CulC and CulD) and humans even eight (Marín 2009; von Zeska Kress et al. 2012). CulA, corresponding to human cullin-1, is part of the largest group of CRLs, the SCF (SkpA, CullinA, Fbox) complexes. They are activated by the attachment of Nedd8 to CulA, a process called neddylation. Nedd8 and proteins of the neddylation cascade and the SCF complex are essential for A. nidulans , whereas SUMO-deficient mutants can grow but are impaired in multicellular development and secondary metabolite production (von Zeska Kress et al. 2012; Harting et al. 2013). In S. cerevisiae , it is the other way round, SUMO is essential but not Nedd8 (Liakopoulos et al. 1998).
The active SCF complex requires at one side of the post-translational neddylated cullin scaffold a small RING protein RbxA, which binds to E2-ubiquitin, and at the other side the target substrate, which is connected to the cullin by the general SkpA (suppressor of kinetochore protein mutant A) adaptor. SkpA binds the specific substrate receptors, the Fbox proteins , which differ considerably to interact with different substrates, but share a characteristic N-terminal 40–50 amino acids F-box motif as SkpA interaction domain. The genome of A. nidulans encompasses approximately 70 different Fbox proteins and the recruited target proteins are often primed by phosphorylation prior to ubiquitination (Draht et al. 2007). Fungal adaptation to changing environmental conditions requires the rapid exchange of Fbox proteins at the SCF complexes in order to label and degrade different substrates, what requires the removal of Nedd8 from CulA (Flick and Kaiser 2013). Several Fbox proteins are involved in fungal development. Fbox protein GrrA (glucose repression-resistant A) is needed for the induction of meiosis and thus for the development of mature ascospores in A. nidulans (Krappmann et al. 2006). The corresponding orthologs of the fungal pathogens Cryptococcus neoformans F-box protein 1 (Fbp1) and Gibberella zeae FBP1 are also involved in sexual reproduction and virulence (Han et al. 2007; Liu et al. 2011). A. nidulans Fbx15 is required for asexual and sexual and Fbx23 for light-dependent development (von Zeska Kress et al. 2012). The homologous Fbx15 of the human pathogen A. fumigatus represses the formation of the secondary metabolite gliotoxin and provides a general stress response and virulence to the fungus (Jöhnk et al. 2016).
The disruption of the UPP leads to an imbalanced protein degradation of, e.g., secondary metabolite cluster-specific or global transcription factors. This can be used for the identification of novel interesting secondary metabolites (Gerke et al. 2012; Zheng et al. 2017). For instance, the deletion of csnE (COP9 signalosome E), encoding the catalytically active subunit of the COP9 signalosome, interferes with the deneddylation of cullins, which mediate the ubiquitination of proteins (Beckmann et al. 2015; see Sect. IV.B). In A. nidulans, this deneddylation defect leads to the accumulation of 100 metabolites and resulted in the identification of the antimicrobial 2,4-dihydroxy-3-methyl-6-(2-oxopropyl)benzaldehyde (DHMBA) (Nahlik et al. 2010; Gerke et al. 2012).
B. Controlled Removal of Ubiquitin Family Proteins from Substrates Is Important for Fungal Growth and Development
The attachment of ubiquitin and UBLs such as Nedd8 or SUMO to proteins is a reversible process. Two desumoylating enzymes UlpA and UlpB were characterized in A. nidulans , which are required for asexual conidiospore production and the formation of mature sexual fruiting bodies (Harting et al. 2013).
The removal of Nedd8 (deneddylation) from SCF complexes leads to a conformational change of the cullin protein (Duda et al. 2008) and is performed by deneddylases such as the COP9 signalosome (constitutive photomorphogenesis 9, CSN) (Beckmann et al. 2015). In most fungi, plants or in humans, it is a highly conserved complex consisting of eight CSN subunits including an intrinsic JAMM motif with Nedd8 isopeptidase activity in one subunit. Neurospora crassa and S. pombe possess seven- and six-subunit CSNs, respectively, and in S. cerevisiae there is only the conserved deneddylase subunit as part of an alternative CSN complex. Dysfunction of CSN results in lethality in plants or mammals but not in fungi, which makes them an attractive model organism to study CSN complex assembly and the function of the different subunits (Braus et al. 2010). CSN recognizes substrate free CRLs (Lingaraju et al. 2014) and physically interacts within the nucleus with a second deneddylase Den1/A. This interaction is found in A. nidulans as well as in human cells (Christmann et al. 2013; Schinke et al. 2016). Fungal CSN is composed of an inactive seven-subunit pre-complex, which incorporates the deneddylase subunit in a final step, resulting in a catalytically active complex (Beckmann et al. 2015). In N. crassa , CSN mutant strains result in stabilization of the circadian clock regulator FRQ, defects in light control (see Sect. II.A.2), and impaired asexual development (Wang et al. 2010). Loss of any of the eight CSN subunits of A. nidulans leads to impaired light control, a block in sexual development and a brownish colony with more than a hundred accumulated secondary metabolites including orsellinic acid derivatives (Busch et al. 2003, 2007; Nahlik et al. 2010).
COP9-mediated deneddylation of CulA deactivates E3 SCF ubiquitin ligases and results in disassembly. Cand1 (cullin associated Nedd8 dissociated 1) acts as Fbox receptor exchange factor by blocking the neddylation site of CulA. Multiple cycles of disassembly and assembly ensure the appropriate exchange of different Fbox proteins to degrade different target proteins in different environments or during development (Choo et al. 2011; Wu et al. 2013). Cand1/A is encoded as single protein in higher eukaryotes and fungi like N. crassa , Verticillium dahliae , or the opportunistic pathogen C. albicans , whereas the A. nidulans gene has been split into two separate genes, which encoded proteins are interacting (Helmstaedt et al. 2011; Sela et al. 2012). Deletion of one or both cand genes in A. nidulans leads to impaired conidiospore and fruiting body formation and to a similarly altered secondary metabolism with a brownish colony color as for the defective CSN (Helmstaedt et al. 2011; Nahlik et al. 2010). The deneddylation of cullins, the dissociation of the SkpA adaptor/Fbox receptor complex, the binding of the Cand protein, and the following reactivation of the SCF complex are highly dynamic processes that require tight regulation (Liu et al. 2018).
Deubiquitinases (DUBs) are required for the processing of ubiquitin precursors and for the removal of ubiquitin molecules from target proteins in order to generate the free ubiquitin pool for E1 ubiquitin-activating enzymes (Fig. 8.4). DUBs are classified into seven different families (Komander et al. 2009; Rehman et al. 2016). (1) The JAMM domain metalloprotease DUBs, such as the Rpn11 (regulatory particle non-ATPase 11) of the proteasomal lid,Footnote 6 contain an MPN+ domain and are similar to the deneddylase subunit of CSN (Meister et al. 2016). All other DUBs are cysteine proteases: (2) ubiquitin C-terminal hydrolases (UCH); (3) Machado-Joseph domain (Josephin-domain) containing proteases (MJD), which are missing in some yeasts (Hutchins et al. 2013); (4) ovarian tumor proteases (OTU); (5) ubiquitin-specific proteases (USP); (6) the motif interacting with Ub-containing novel DUB family (MINDY) (Rehman et al. 2016); and (7) the zinc finger with UFM1-specific peptidase domain protein/C6orf113/ZUP1 (ZUFSP) family (Haahr et al. 2018).
The DUB distribution to the different families is quite conserved between fungi and humans with most members in the ubiquitin-specific proteases family with 17 USPs in S. cerevisiae and more than 50 in humans (Hutchins et al. 2013). Any single deletion of the genes for the 17 USP DUBs of S. cerevisiae is viable with only partially moderate growth defects (Amerik et al. 2000). The ubiquitin-specific protease Doa4 (degradation of Alpha 4) is associated to the 26S proteasome and recycles ubiquitin chains from proteins that were targeted for degradation to the 26S proteasome or from membrane proteins that are targeted to the vacuole (Swaminathan et al. 1999). The ubiquitin-specific protease Ubp14 hydrolyzes rather free polyubiquitin chains, which are not degraded by the 26S proteasome as its unfolding would require too much energy (Amerik et al. 2000). The C. neoformans ubiquitin-specific protease Ubp5 is required for virulence and controls melanin and capsule formation (Fang et al. 2012).
V. Protein Degradation Pathways
Clearance of misfolded, damaged , or no longer needed proteins and organelles directs time controlled developmental transitions, multicellular development, pathogenicity, and secondary metabolism in filamentous fungi and leads to recycling of building bricks for the synthesis of new proteins and organelles. Protein degradation is mediated through different pathways (Fig. 8.4) including the nuclear and cytoplasmic ubiquitin-26S proteasome pathway (UPP) and autophagy pathways, which target defective cellular compartments and 26S proteasomes for degradation in the fungal vacuole. Misfolded proteins of the endoplasmic reticulum (ER) activate the unfolded protein response and the ER associated degradation (ERAD) pathway, which finally results in degradation of these proteins in 26S proteasomes of the cytoplasm. The plant pathogenic fungus Ustilago maydis requires the unfolded protein response of the ER for pathogenicity (Heimel et al. 2013; Hampel et al. 2016).
A. Protein Degradation by the 26S Proteasome
The conserved 2.5 MDa 26S proteasome is one of the major degradation machineries in eukaryotes and has approximately half the size of a ribosome. This multi-protease complex consists of the 20S barrel-like core particle and on one or both sides associated 19S regulatory particles consisting of lid and base subcomplexes (Tomko and Hochstrasser 2013). The lid receives ubiquitinated substrates and the base, containing six subunits with ATPase activity, unfolds substrates by ATP hydrolysis, and translocates them into the barrel of the core particle, while the JAMM domain metalloprotease DUB Rpn11 cleaves the ubiquitin chains (Lander et al. 2012; de la Peña et al. 2018). The core particle contains four rings. Each ring is built of seven subunits providing gate and catalytic activity with different trypsin-, chymotrypsin-, or caspase-like peptidases. These degrade substrates processively, resulting in recyclable amino acids (Budenholzer et al. 2017).
26S proteasomal-mediated degradation is initiated by the recognition of K48-polyubiquitinated substrates by Rpn1, Rpn10, or Rpn13, which possess ubiquitin-binding domains (Finley 2009). After capturing these substrates, ubiquitin tags are released by the intrinsic lid Rpn11 deubiquitinase, which is embedded in a similar protein subunit architecture as the intrinsic deneddylase of the COP9 signalosome (Meister et al. 2016; see Sect. IV.A). The eight CSN subunits correspond to eight Rpn (Rpn3, 5–9, 11, 12) subunits of the lid of the regulatory particle. The lid contains as ninth additional subunit the versatile small multifunctional and intrinsically disordered Sem1/Dss1 (suppressor of exocyst mutations 1; deletion of split hand/split foot 1), and a ninth COP9 signalosome subunit (CSN acidic protein) is also present in metazoa and some plants and fungi (Barth et al. 2016).
Sem1 stabilizes the assembly of 26S proteasomes by recruiting the receptors Rpn13 and Rpn10 as well as the tethering factor Ecm29 (extracellular mutant 29) to support complex formation. The A. nidulans sem1 deletion strain is delayed in conidiophore development, has less conidiospores, and produces immature fruiting bodies without ascospores. Sem1 of A. nidulans links fungal stress response to development and controls secondary metabolism similar to CSN or CandA (Kolog Gulko et al. 2018; see Sect. IV.A).
A link between the 26S proteasome of filamentous fungi and development and control of secondary metabolism is further corroborated by the application of proteasome inhibitors such as bortezomib. Proteasome inhibitors delay germination, appressoria formation, and host infection processes of the rice blast fungus M. oryzae (Wang et al. 2011; Oh et al. 2012). Inhibition of the proteasome resulted in the identification of several new compounds in Pleosporales or in the plant pathogen Pestalotiopsis sydowiana (VanderMolen et al. 2014; Xia et al. 2016). Although the targets of the 26S proteasome, which coordinate fungal development and secondary metabolism in these specific cases, are still unknown, it seems likely that they include regulatory proteins with a limited half-life that interconnect different cellular pathways.
B. Degradation by Autophagy
High protein turnover results in damaged fungal proteasomes, which are degraded in yeasts and presumably also in filamentous fungi by self-eating autophagy (Waite et al. 2016; Hoeller and Dikic 2016). This is, besides the proteasomal degradation, the second major eukaryotic degradation system. It is a highly organized membrane-trafficking pathway, specialized for long-lived proteins as well as quality control for large and heterogeneous cellular material including protein aggregates or organelles. Malfunction of this conserved process is, e.g., associated to neurodegenerative diseases in humans as well as impairment of accurate fungal secondary metabolism and differentiation. Autophagy provides nutrients during stress conditions, starvation, or transition phases of developmental programs (Voigt and Pöggeler 2013; Popova et al. 2018, Fig. 8.4). Fungi produce secondary metabolites, which directly affect autophagy such as the beneficial rasfonin from Talaromyces , which reduces different cancer cells by inducing autophagy (Xiao et al. 2014; Sun et al. 2016).
The targeted engulfment of cellular material by membrane invaginations of the vacuole is termed microautophagy. Macroautophagy corresponds to the sequestration of bulk cellular material such as damaged organelles or protein aggregates by de novo formed phagophore, e.g., during yeast starvation (Li et al. 2012; Reggiori et al. 2012). Cargo proteins are engulfed during this process by the double membrane phagophore, which closes to form the autophagosome. This compartment fuses with the fungal vacuole at its outer membrane, while the inner autophagic body is digested by the hydrolytic vacuolar milieu. Autophagy can be either non-selective or selective. Selective autophagy for the degradation of different cellular organelles, e.g., the pexophagy for defective peroxisomes in Sordaria macrospora , requires specific cargo receptors (Werner et al. 2019).
Instead of degradation, selective autophagy pathways can also be used for hydrolytic enzyme transportation to the vacuole as the yeast cytoplasm-to-vacuole transport (Cvt) pathway (Lynch-Day and Klionsky 2010). Fungal secondary metabolism takes place in different cellular compartments such as the cytoplasm, the peroxisomes, vesicles, or vacuoles. The transport of enzymes and metabolic compounds or precursors is therefore often mediated through autophagic pathways. For instance, aflatoxin production requires a complex interplay of different autophagic processes. Vesicles bud from mitochondria and peroxisomes, which deliver precursors and enzymes to Cvt vesicles containing other enzymes of the biosynthetic pathway to form the aflatoxisomes. Aflatoxisomes mediate the biosynthesis by the transport of active enzymes as well as compartmentalization by storing different aflatoxin intermediates and the aflatoxin export to the cell exterior (Chanda et al. 2009; Roze et al. 2011a).
Autophagy-associated atg genes were first identified in the unicellular fungus S. cerevisiae . Until 2016, 42 yeast atg genes were identified including 18 core genes for autophagosome formation, which are mostly conserved in filamentous fungi (Wen and Klionsky 2016; Parzych et al. 2018).
In the initiation phase, starvation-induced autophagy requires an active Atg1 Ser/Thr kinase complex, which is inhibited under non-starvation conditions by the active Tor (target of rapamycin) kinase complex, sensing nitrogen sources, and the cAMP-dependent protein kinase A complex, sensing glucose (Budovskaya et al. 2004; González and Hall 2017). In the following nucleation phase, Atg1 complex kinase activity results in the assembly of several other Atg proteins and the phosphatidylinositol kinase Vps34, which action recruits transmembrane protein Atg9-containing vesicles for the transport to the phagophore assembly site (He et al. 2008; Stjepanovic et al. 2017). Phagophore expansion as the third phase includes two ubiquitin-like conjugation systems (Atg8, Atg12), which cooperate to transfer Atg8 to the lipid phosphatidylethanolamine (PE). Conjugation of Atg8 to Atg8-PE requires a similar mechanism of E1 activating, E2 conjugating, and E3 ligase cascade as previously described for other ubiquitin-like proteins (Liu et al. 2010b; see Sect. IV.A). After the fusion of the outer phagosomal membrane with the vacuolar membrane, vacuolar lipases such as Atg15 degrade the membrane of the released autophagic body. The permease Atg22 exports the degradation products into the cytoplasm for recycling (Sugimoto et al. 2011; Ramya and Rajasekharan 2016; Fig. 8.4).
Numerous fungal atg genes are essential for growth or are required for development, pathogenicity, or the formation of secondary metabolites. An A. fumigatus atg1 deletion strain is impaired in vegetative growth in the presence of different nitrogen sources and produces less asexual spores, but is not affected in pathogenicity (Richie et al. 2007; Richie and Askew 2008). A Penicillium chrysogenum atg1 mutant strain shows increased penicillin production due to an increased number of peroxisomes as a result of impaired pexophagy (Bartoszewska et al. 2011). Penicillin production takes place in the cytosol and in peroxisomes (Meijer et al. 2010). The relocation of AcvA, the first enzyme of the penicillin biosynthesis (δ-(l-α-aminoadipyl)-l-cysteinyl-d-valine synthetase), from the cytosol to the peroxisomes significantly increased the penicillin production of A. nidulans by more than three-fold (Herr and Fischer 2014).
The genes for the ubiquitin-like Atg12 from different yeasts are required for ascosporogenesis under nitrogen starvation, and the corresponding gene of N. crassa supports efficient fruiting body formation (Mukaiyama et al. 2010; Chinnici et al. 2014). In contrast, a M. oryzae atg12-deficient strain can undergo sexual development but is impaired in host infection. Whereas the atg genes participating in selective autophagy are dispensable, 22 non-selective M. oryzae atg genes are required for pathogenicity (Kershaw and Talbot 2009). This includes non-selective autophagy mutants, which are unable to transport the cellular content from the conidiospore into the appressoria, impairing leaf penetration.
Defects in the UBL encoding gene atg8 as well as in several other atg genes result in impaired vegetative growth and a block in sexual development in S. macrospora (Nolting et al. 2009; Voigt and Pöggeler 2013). Both autophagy UBLs are involved in aging of hyphae, which change in their thickness from young thin to old thick hyphae. Deletion of atg8 for the UBL or of atg10 encoding the E2 conjugating enzyme for the Atg12 UBL shortened this aging process in A. niger (Nitsche et al. 2013). Aging of hyphae by autophagy might be due to degradation of organelles in older hyphae, which provides nutrients and building bricks for tip growth (Shoji et al. 2010). The degradation by mitophagy of damaged mitochondria increases presumably also fungal life span, because it prevents the accumulation of ROS or proapoptotic factors (Tyler and Johnson 2018).
Autophagy ensures survival during starvation, mediates nutrient supply for ascospore formation, and transports hydrolytic enzymes into the vacuoles in yeast. Autophagy protects cells against toxic metabolites or macromolecules and damaged organelles by their degradation and export. In ascomycetes, autophagy is required for development under starvation and nutrient-rich conditions. Furthermore, pathogenicity and secondary metabolism rely on autophagy.
VI. Conclusion
The burden of infectious diseases caused by bacteria and fungi, which are resistant to the usual antibiotics or antimycotics such as azoles, is growing (Cassini et al. 2019; Lestrade et al. 2019). Filamentous fungi form a vast reservoir of yet unknown beneficial or toxic secondary metabolites, which are only produced as responses to environmental biotic or abiotic stimuli. A more comprehensive picture of the complex and subtle control of transcriptional networks, which are nested within each other, are more and more emerging. They interconnect distinct fungal developmental programs with the production of specific secondary metabolites. This includes the genetic networks of the fungal velvet domain proteins and their sub-networks, which link transcriptional to epigenetic control of gene expression, but also protein degradation machineries like the 26S proteasome and the autophagy membrane trafficking pathway. They control maintenance or changes of fungal proteomes as well as cellular localization and transport of proteins as additional levels of coordinating secondary metabolite production in response to environmental parameters or during development, aging, or pathogenesis. Manipulation of gene expression including chemical epigenetics as well as genetic or chemical reprogramming of fungal protein degradation are promising approaches to find new biologically active secondary metabolites acting as antibiotics or as antifungal drugs.
Notes
- 1.
Ascus = skin bag.
- 2.
Virulence = severity of a disease caused by a pathogen.
- 3.
Pathogenicity = ability of a pathogen to cause a disease.
- 4.
H3R4 = histone H4 modified at arginine residue 3 (R3).
- 5.
H3K4Me3 = histone H3 trimethylated (Me3) at lysine residue 4 (K4).
- 6.
lid = removable or hinged cover of a container, here: the cover of the proteasome core.
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Acknowledgments
We thank Fruzsina Bakti and Christoph Sasse for critical reading of the manuscript. Funding of this research was provided by the Deutsche Forschungsgemeinschaft (DFG) and the SFB860.
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Gerke, J., Köhler, A.M., Meister, C., Thieme, K.G., Amoedo, H., Braus, G.H. (2020). Coordination of Fungal Secondary Metabolism and Development. In: Benz, J.P., Schipper, K. (eds) Genetics and Biotechnology. The Mycota, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-49924-2_8
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