BcsA and BcsB form the catalytically active core of bacterial cellulose synthase sufficient for in vitro cellulose synthesis

Cellulose is a linear extracellular polysaccharide. It is synthesized by membrane-embedded glycosyltransferases that processively polymerize UDP-activated glucose. Polymer synthesis is coupled to membrane translocation through a channel formed by the cellulose synthase. Although eukaryotic cellulose synthases function in macromolecular complexes containing several different enzyme isoforms, prokaryotic synthases associate with additional subunits to bridge the periplasm and the outer membrane. In bacteria, cellulose synthesis and translocation is catalyzed by the inner membrane-associated bacterial cellulose synthase (Bcs)A and BcsB subunits. Similar to alginate and poly-β-1,6 N-acetylglucosamine, bacterial cellulose is implicated in the formation of sessile bacterial communities, termed biofilms, and its synthesis is likewise stimulated by cyclic-di-GMP. Biochemical studies of exopolysaccharide synthesis are hampered by difficulties in purifying and reconstituting functional enzymes. We demonstrate robust in vitro cellulose synthesis reconstituted from purified BcsA and BcsB proteins from Rhodobacter sphaeroides. Although BcsA is the catalytically active subunit, the membrane-anchored BcsB subunit is essential for catalysis. The purified BcsA-B complex produces cellulose chains of a degree of polymerization in the range 200–300. Catalytic activity critically depends on the presence of the allosteric activator cyclic-di-GMP, but is independent of lipid-linked reactants. Our data reveal feedback inhibition of cellulose synthase by UDP but not by the accumulating cellulose polymer and highlight the strict substrate specificity of cellulose synthase for UDP-glucose. A truncation analysis of BcsB localizes the region required for activity of BcsA within its C-terminal membrane-associated domain. The reconstituted reaction provides a foundation for the synthesis of biofilm exopolysaccharides, as well as its activation by cyclic-di-GMP.Polysaccharides are essential biopolymers performing diverse biological functions, ranging from energy storage to osmoregulation and cell wall formation. Extracellular polysaccharides, including cellulose, chitin, and alginate, are synthesized inside the cell from nucleotide-activated sugars and are transported across the cell membrane during their synthesis. This remarkable task is performed by membrane-integrated glycosyltransferases (GTs) that couple polymer elongation with translocation (1, 2).Cellulose is a linear polymer of glucose molecules linked via β-1,4 glycosidic linkages (3, 4) and is primarily formed by vascular plants, but also by some algae, protists, and bacteria (4–6). Cellulose is synthesized by cellulose synthase (CesA), a family 2 member of GTs (7) that processively polymerizes UDP-activated glucose via an evolutionarily conserved mechanism (2). CesAs contain eight predicted transmembrane (TM) segments and at least one extended intracellular domain adopting a GT-A fold (2, 8). The intracellular GT-A domain is responsible for donor and acceptor sugar binding, as well as for catalyzing the GT reaction, and the membrane-embedded part forms a TM pore in close juxtaposition with the catalytic site, thereby allowing translocation of the nascent polysaccharide (2).Although most eukaryotic CesAs are believed to form supramolecular complexes that organize the secreted glucans into cable-like structures, i.e., the cellulose microfibrils (9), many Gram-negative bacteria synthesize cellulose as a biofilm component (10, 11). Biofilm formation is stimulated by the bacterial messenger cyclic-di-GMP (c-di-GMP) (12), which affects a diverse group of enzymes via interaction with either covalently or noncovalently attached c-di-GMP-binding domains, such as PilZ (13–15).Bacterial cellulose synthase (Bcs) is a multicomponent protein complex encoded in an operon containing at least three genes, bcsA, B, and C (16, 17). BcsA is the catalytic subunit that synthesizes cellulose and forms the TM pore across the inner membrane and BcsB is a large periplasmic protein that is anchored to the inner membrane via a single C-terminal TM helix. BcsB may guide the polymer across the periplasm toward the outer membrane via two carbohydrate-binding domains (CBDs) (2). BcsA and BcsB are fused into a single polypeptide chain in some species (18). BcsC is predicted to form a β-barrel in the outer membrane, preceded by a large periplasmic domain containing tetratricopeptide repeats likely involved in complex assembly (16). Most cellulose synthase operons also code for a periplasmic cellulase, BcsZ, whose biological function is unknown, yet it appears to enhance cellulose production in vivo (19, 20). Although most biofilm-forming bacteria likely produce amorphous cellulose that is embedded in a 3D matrix of polysaccharides, proteinaceous fibers, and nucleic acids (21), some bacteria produce cellulose microfibrils resembling those synthesized by eukaryotic cells (22). In such bacteria, CesA complexes are linearly arranged along the cell axis, and the CesA operons encode at least one additional subunit, BcsD, that might facilitate the linear organization of the synthases (18).Despite the numerous studies available on a large number of pro- and eukaryotic model systems, revealing the mechanism of cellulose synthesis and translocation has been hampered by difficulties in reconstituting functional CesAs in a purified system, either from eukaryotic or prokaryotic enzymes (23–26). To date, cellulose biosynthetic activities have only been recovered from detergent extracts of native membranes (24–26).To overcome these challenges, we reconstituted an active cellulose synthetic system in vitro from a purified Rhodobacter sphaeroides BcsA-B complex (27). The purified complex efficiently synthesizes amorphous, high-molecular-weight (HMW) cellulose on incubation with UDP-glucose (UDP-Glc) and c-di-GMP, both in a detergent-solubilized state and after reconstitution into proteoliposomes (PLs). We show that cellulose elongation occurs directly from UDP-Glc without lipid-linked intermediates, reveal that c-di-GMP activates the synthase, and demonstrate the strict substrate specificity of BcsA for UDP-Glc. Furthermore, we demonstrate that BcsB is crucial for the catalytic activity of BcsA and localize the region required for cellulose synthesis within BcsB’s C-terminal, membrane-associated domain that packs against the TM region of BcsA.     

Extensive sampling of basidiomycete genomes demonstrates inadequacy of the white-rot/brown-rot paradigm for wood decay fungi

Basidiomycota (basidiomycetes) make up 32% of the described fungi and include most wood-decaying species, as well as pathogens and mutualistic symbionts. Wood-decaying basidiomycetes have typically been classified as either white rot or brown rot, based on the ability (in white rot only) to degrade lignin along with cellulose and hemicellulose. Prior genomic comparisons suggested that the two decay modes can be distinguished based on the presence or absence of ligninolytic class II peroxidases (PODs), as well as the abundance of enzymes acting directly on crystalline cellulose (reduced in brown rot). To assess the generality of the white-rot/brown-rot classification paradigm, we compared the genomes of 33 basidiomycetes, including four newly sequenced wood decayers, and performed phylogenetically informed principal-components analysis (PCA) of a broad range of gene families encoding plant biomass-degrading enzymes. The newly sequenced Botryobasidium botryosum and Jaapia argillacea genomes lack PODs but possess diverse enzymes acting on crystalline cellulose, and they group close to the model white-rot species Phanerochaete chrysosporium in the PCA. Furthermore, laboratory assays showed that both B. botryosum and J. argillacea can degrade all polymeric components of woody plant cell walls, a characteristic of white rot. We also found expansions in reducing polyketide synthase genes specific to the brown-rot fungi. Our results suggest a continuum rather than a dichotomy between the white-rot and brown-rot modes of wood decay. A more nuanced categorization of rot types is needed, based on an improved understanding of the genomics and biochemistry of wood decay.Fungi of the phylum Basidiomycota (basidiomycetes) comprise 32% of the described fungi (1) and are important to forestry (2–4), agriculture (5–7), and medicine (8–11). This diverse phylum includes the mushrooms (12–14); pathogens of plants (2), animals (9–11), and other fungi (15); osmotically tolerant molds (16); ectomycorrhizal symbionts like Laccaria bicolor, which are critical for plant growth; plant pathogens, such as rusts and smuts (7); and saprotrophs, including wood-decaying fungi (17).The 26,000 basidiomycete taxa in the National Center for Biotechnology Information (NCBI) database (18, 19) are divided into three subphyla: Agaricomycotina (∼22,000 taxa), Pucciniomycotina (∼2,300 taxa), and Ustilaginomycotina (∼1,000 taxa). Agaricomycotina includes many decomposers of wood and leaf litter (12, 17, 20–23) that produce lignocellulolytic enzymes that have potential to be used in bioenergy production (24–27). Thus, much of sequencing effort at the US Department of Energy (DOE) Joint Genome Institute (JGI) (http://jgi.doe.gov/fungi) has targeted Agaricomycotina, particularly the Agaricomycetes (mushroom-forming fungi), with the large orders Agaricales (predominantly gilled mushrooms), Polyporales (wood-decaying polypores and others), and Boletales (porcini mushrooms and others) being especially deeply sampled.A keen focus in the comparative genomics of Basidiomycota has concerned lineages of wood decay fungi (13, 17, 20–23, 28). For decades, two broad categories have been recognized: white rot and brown rot (29–31). During brown rot, cellulose is rapidly depolymerized via oxidative mechanisms, whereas modified lignin remains as a polymeric residue (32–35). In contrast, white-rot fungi use hydrolases that gradually degrade cellulose while lignin is completely mineralized. Lignin degradation involves high-oxidation potential class II peroxidases (PODs) that, on the basis of conserved catalytic and Mn-binding sites, are classified as lignin peroxidase (LiP), manganese peroxidase (MnP), or versatile peroxidase (VP) (36–38). The first genomes of the white-rot fungus Phanerochaete chrysosporium and brown-rot fungus Postia placenta revealed a gene complement consistent with their respective modes of wood decay (22, 23). Further comparative genomics studies of larger sets of wood decay fungi supported a consistent relationship between decay patterns and several enzyme families. Specifically, white-rot fungi had high-oxidation potential PODs for lignin degradation as well as cellobiohydrolases for degrading crystalline cellulose. Classified in glycoside hydrolase (GH) families (39) GH6 and GH7, cellobiohydrolases attack cellulose in a synergistic manner and often carry a cellulose binding module (CBM1). In contrast, the genomes of brown-rot fungi did not encode PODs and the predicted cellobiohydrolase-encoding genes were generally absent or lacking a CBM1 domain.Here, we present comparative analyses of 33 sequenced basidiomycete genomes (Table S1). Included are 22 wood decayers, of which Galerina marginata, Pleurotus ostreatus, Botryobasidium botryosum, and Jaapia argillacea are newly sequenced. The results call into question the prevailing white-rot/brown-rot dichotomy.     

Inflammasome activation causes dual recruitment of NLRC4 and NLRP3 to the same macromolecular complex

Pathogen recognition by nucleotide-binding oligomerization domain-like receptor (NLR) results in the formation of a macromolecular protein complex (inflammasome) that drives protective inflammatory responses in the host. It is thought that the number of inflammasome complexes forming in a cell is determined by the number of NLRs being activated, with each NLR initiating its own inflammasome assembly independent of one another; however, we show here that the important foodborne pathogen Salmonella enterica serovar Typhimurium (S. Typhimurium) simultaneously activates at least two NLRs, whereas only a single inflammasome complex is formed in a macrophage. Both nucleotide-binding domain and leucine-rich repeat caspase recruitment domain 4 and nucleotide-binding domain and leucine-rich repeat pyrin domain 3 are simultaneously present in the same inflammasome, where both NLRs are required to drive IL-1β processing within the Salmonella-infected cell and to regulate the bacterial burden in mice. Superresolution imaging of Salmonella-infected macrophages revealed a macromolecular complex with an outer ring of apoptosis-associated speck-like protein containing a caspase activation and recruitment domain and an inner ring of NLRs, with active caspase effectors containing the pro–IL-1β substrate localized internal to the ring structure. Our data reveal the spatial localization of different components of the inflammasome and how different members of the NLR family cooperate to drive robust IL-1β processing during Salmonella infection.Inflammasomes are cytosolic multimeric protein complexes formed in the host cell in response to the detection of pathogen-associated molecular patterns (PAMPs) or danger-associated molecular patterns (DAMPs). Formation of the inflammasome in response to PAMPs is critical for host defense because it facilitates processing of the proinflammatory cytokines pro–IL-1β and pro–IL-18 into their mature forms (1). The inflammasome also initiates host cell death in the form of pyroptosis, releasing macrophage-resident microbes to be killed by other immune mechanisms (2). The current paradigm is that there are individual, receptor-specific inflammasomes consisting of one nucleotide-binding oligomerization domain-like receptor (NLR; leucine-rich repeat–containing) or PYHIN [pyrin domain and hematopoietic expression, interferon-inducible nature, and nuclear localization (HIN) domain-containing] receptor, the adaptor protein apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (CARD; ASC), and caspase-1 (3). How the protein constituents of the inflammasome are spatially orientated is unclear.Nucleotide-binding domain and leucine-rich repeat caspase recruitment domain 4 (NLRC4) and nucleotide-binding domain and leucine-rich repeat pyrin domain 3 (NLRP3) are the best-characterized inflammasomes, especially with respect to their responses to pathogenic bacteria. The NLRC4 inflammasome is activated primarily by bacteria, including Aeromonas veronii (4), Escherichia coli (5), Listeria monocytogenes (6, 7), Pseudomonas aeruginosa (5), Salmonella enterica serovar Typhimurium (S. Typhimurium) (5, 8–10), and Yersinia species (11). In mouse macrophages, the NLRC4 inflammasome responds to flagellin and type III secretion system-associated needle or rod proteins (5, 8, 9) after their detection by NLR family, apoptosis inhibitory protein (NAIP) 5 or NAIP6 and NAIP1 or NAIP2, respectively (12–15). Phosphorylation of NLRC4 at a single, evolutionarily conserved residue, Ser 533, by PKCδ kinase is required for NLRC4 inflammasome assembly (16). The NLRP3 inflammasome is activated by a large repertoire of DAMPs, including ATP, nigericin, maitotoxin, uric acid crystals, silica, aluminum hydroxide, and muramyl dipeptide (17–20). NLRP3 is also activated by bacterial PAMPs from many species, including Aeromonas species (4, 21), L. monocytogenes (6, 7, 22), Neisseria gonorrhoeae (23), S. Typhimurium (10), Streptococcus pneumoniae (24), and Yersinia species (11). The mechanisms by which NLRC4 and NLRP3 inflammasomes contribute to host defense against bacterial pathogens are emerging; however, little is known about the dynamics governing inflammasome assembly in infections caused by bacteria that activate multiple NLRs, such as S. Typhimurium (10), A. veronii (4), and Yersinia (11).NLRP3 does not have a CARD and requires ASC to interact with the CARD of procaspase-1. This interaction requires a charged interface around Asp27 of the procaspase-1 CARD (25). Whether ASC is also required for the assembly of the NLRC4 inflammasome is less clear. NLRC4 contains a CARD that can interact directly with the CARD of procaspase-1 (26); however, ASC is required for some of the responses driven by NLRC4 (27). Macrophages infected with S. Typhimurium or other pathogens exhibit formation of a distinct cytoplasmic ASC focus or speck, which can be visualized under the microscope and is indicative of inflammasome activation (10, 28, 29). Our laboratory and others have shown that only one ASC speck is formed per cell irrespective of the stimulus used (29–32). However, many bacteria activate two or more NLRs, and it is unclear whether a singular inflammasome is formed at a time or if multiple inflammasomes are formed independent of each other, with each inflammasome containing one member of the NLR family.In this study, we describe the endogenous molecular constituents of the Salmonella-induced inflammasome and their spatial orientation. In cross-section, ASC forms a large external ring with the NLRs and caspases located internally. Critically, NLRC4, NLRP3, caspase-1, and caspase-8 coexist in the same ASC speck to coordinate pro–IL-1β processing. All ASC specks observed contained both NLRC4 and NLRP3. These results suggest that Salmonella infection induces a single inflammasome protein complex containing different NLRs and recruiting multiple caspases to coordinate a multifaceted inflammatory response to infection.     

Role of disease-associated tolerance in infectious superspreaders

Natural populations show striking heterogeneity in their ability to transmit disease. For example, a minority of infected individuals known as superspreaders carries out the majority of pathogen transmission events. In a mouse model of Salmonella infection, a subset of infected hosts becomes superspreaders, shedding high levels of bacteria (>10⁸ cfu per g of feces) but remain asymptomatic with a dampened systemic immune state. Here we show that superspreader hosts remain asymptomatic when they are treated with oral antibiotics. In contrast, nonsuperspreader Salmonella-infected hosts that are treated with oral antibiotics rapidly shed superspreader levels of the pathogen but display signs of morbidity. This morbidity is linked to an increase in inflammatory myeloid cells in the spleen followed by increased production of acute-phase proteins and proinflammatory cytokines. The degree of colonic inflammation is similar in antibiotic-treated superspreader and nonsuperspreader hosts, indicating that the superspreader hosts are tolerant of antibiotic-mediated perturbations in the intestinal tract. Importantly, neutralization of acute-phase proinflammatory cytokines in antibiotic-induced superspreaders suppresses the expansion of inflammatory myeloid cells and reduces morbidity. We describe a unique disease-associated tolerance to oral antibiotics in superspreaders that facilitates continued transmission of the pathogen.A growing body of work has demonstrated that a minority of infected hosts is responsible for the majority of new infections within the population. Woolhouse et al. first formulated the 80/20 rule of host–pathogen interactions, wherein 20% of the infected hosts (“superspreaders”) are responsible for 80% of the infections (1). For example, analysis of cattle herds infected with Escherichia coli O157:H7 has demonstrated that high-shedding individuals (8–20% of the infected herd) are responsible for the majority of the pathogen transmission to uninfected members of the herd (2–5). The identification of these superspreaders is of key importance for disease treatment and clearance (1, 6–8). However, comparatively little is known about the host immune response that contributes to the superspreader state.An infected host can fight pathogenic infection by two distinct processes—resistance and tolerance. Resistance encompasses a diverse set of mechanisms used by the host to control pathogen invasion and replication. Tolerance, conversely, employs different mechanisms that help the host organism tolerate the damage caused by both the pathogenic infection and the resulting immune response, thereby maintaining host health (9–11). Although very little is known about the full spectrum of tolerance mechanisms, the few studies in animals suggest that, because pathogens and immunopathology can potentially affect almost any physiological process, tolerance is not restricted to a single protective pathway (9, 12, 13). Unlike resistance mechanisms, tolerance strategies do not have direct negative consequences for the pathogen and therefore should place no selective pressures upon the pathogen (12, 14, 15). For these reasons, tolerance mechanisms have been hypothesized to play a role in the maintenance of the asymptomatic superspreader state (11, 12, 15). However, an experimental link between tolerance and transmission has not been demonstrated.Upon oral infection with Salmonella enterica serovar Typhimurium, in our mouse model of Salmonella transmission, 30% of infected hosts shed the pathogen at high levels (>10⁸ Salmonella per gram of feces). These superspreader hosts are able to efficiently infect naive cagemates (16) and possess a distinct immune phenotype compared with the majority of the infected hosts [which shed the pathogen at lower levels and are nonsuperspreaders (17)]. Importantly, both superspreader and nonsuperspreader hosts carry identical pathogen burdens across all tissues except the intestinal tract. The host microbiota plays an important role in protecting the host from acute Salmonella infection (18, 19) and in the establishment of the superspreader state (16). Frequent subtherapeutic antibiotic use is common among livestock animals, and the resulting disruption of host gut flora or dysbiosis has long-lasting effects on the health of the host (20). Here, we demonstrate that superspreader hosts are uniquely able to tolerate antibiotic treatment and importantly, this tolerance is not maintained in nonsuperspreader hosts.     

Exchange protein directly activated by cAMP plays a critical role in bacterial invasion during fatal rickettsioses

Rickettsiae are responsible for some of the most devastating human infections. A high infectivity and severe illness after inhalation make some rickettsiae bioterrorism threats. We report that deletion of the exchange protein directly activated by cAMP (Epac) gene, Epac1, in mice protects them from an ordinarily lethal dose of rickettsiae. Inhibition of Epac1 suppresses bacterial adhesion and invasion. Most importantly, pharmacological inhibition of Epac1 in vivo using an Epac-specific small-molecule inhibitor, ESI-09, completely recapitulates the Epac1 knockout phenotype. ESI-09 treatment dramatically decreases the morbidity and mortality associated with fatal spotted fever rickettsiosis. Our results demonstrate that Epac1-mediated signaling represents a mechanism for host–pathogen interactions and that Epac1 is a potential target for the prevention and treatment of fatal rickettsioses.Rickettsiae are responsible for some of the most devastating human infections (1–4). It has been forecasted that temperature increases attributable to global climate change will lead to more widespread distribution of rickettsioses (5). These tick-borne diseases are caused by obligately intracellular bacteria of the genus Rickettsia, including Rickettsia rickettsii, the causative agent of Rocky Mountain spotted fever (RMSF) in the United States and Latin America (2, 3), and Rickettsia conorii, the causative agent of Mediterranean spotted fever endemic to southern Europe, North Africa, and India (6). A high infectivity and severe illness after inhalation make some rickettsiae (including Rickettsia prowazekii, R. rickettsii, Rickettsia typhi, and R. conorii) bioterrorism threats (7). Although the majority of rickettsial infections can be controlled by appropriate broad-spectrum antibiotic therapy if diagnosed early, up to 20% of misdiagnosed or untreated (1, 3) and 5% of treated RMSF cases (8) result in a fatal outcome caused by acute disseminated vascular endothelial infection and damage (9). Fatality rates as high as 32% have been reported in hospitalized patients diagnosed with Mediterranean spotted fever (10). In addition, strains of R. prowazekii resistant to tetracycline and chloramphenicol have been developed in laboratories (11). Disseminated endothelial infection and endothelial barrier disruption with increased microvascular permeability are the central features of SFG rickettsioses (1, 2, 9). The molecular mechanisms involved in rickettsial infection remain incompletely elucidated (9, 12). A comprehensive understanding of rickettsial pathogenesis and the development of novel mechanism-based treatment are urgently needed.Living organisms use intricate signaling networks for sensing and responding to changes in the external environment. cAMP, a ubiquitous second messenger, is an important molecular switch that translates environmental signals into regulatory effects in cells (13). As such, a number of microbial pathogens have evolved a set of diverse virulence-enhancing strategies that exploit the cAMP-signaling pathways of their hosts (14). The intracellular functions of cAMP are predominantly mediated by the classic cAMP receptor, protein kinase A (PKA), and the more recently discovered exchange protein directly activated by cAMP (Epac) (15). Thus, far, two isoforms, Epac1 and Epac2, have been identified in humans (16, 17). Epac proteins function by responding to increased intracellular cAMP levels and activating the Ras superfamily small GTPases Ras-proximate 1 and 2 (Rap1 and Rap2). Accumulating evidence demonstrates that the cAMP/Epac1 signaling axis plays key regulatory roles in controlling various cellular functions in endothelial cells in vitro, including cell adhesion (18–21), exocytosis (22), tissue plasminogen activator expression (23), suppressor of cytokine signaling 3 (SOCS-3) induction (24–27), microtubule dynamics (28, 29), cell–cell junctions, and permeability and barrier functions (30–37). Considering the critical importance of endothelial cells in rickettsioses, we examined the functional roles of Epac1 in rickettsial pathogenesis in vivo, taking advantage of the recently generated Epac1 knockout mouse (38) and Epac-specific inhibitors (39, 40) generated from our laboratory. Our studies demonstrate that Epac1 plays a key role in rickettsial infection and represents a therapeutic target for fatal rickettsioses.     

A family of starch-active polysaccharide monooxygenases

The recently discovered fungal and bacterial polysaccharide monooxygenases (PMOs) are capable of oxidatively cleaving chitin, cellulose, and hemicelluloses that contain β(1→4) linkages between glucose or substituted glucose units. They are also known collectively as lytic PMOs, or LPMOs, and individually as AA9 (formerly GH61), AA10 (formerly CBM33), and AA11 enzymes. PMOs share several conserved features, including a monocopper center coordinated by a bidentate N-terminal histidine residue and another histidine ligand. A bioinformatic analysis using these conserved features suggested several potential new PMO families in the fungus Neurospora crassa that are likely to be active on novel substrates. Herein, we report on NCU08746 that contains a C-terminal starch-binding domain and an N-terminal domain of previously unknown function. Biochemical studies showed that NCU08746 requires copper, oxygen, and a source of electrons to oxidize the C1 position of glycosidic bonds in starch substrates, but not in cellulose or chitin. Starch contains α(1→4) and α(1→6) linkages and exhibits higher order structures compared with chitin and cellulose. Cellobiose dehydrogenase, the biological redox partner of cellulose-active PMOs, can serve as the electron donor for NCU08746. NCU08746 contains one copper atom per protein molecule, which is likely coordinated by two histidine ligands as shown by X-ray absorption spectroscopy and sequence analysis. Results indicate that NCU08746 and homologs are starch-active PMOs, supporting the existence of a PMO superfamily with a much broader range of substrates. Starch-active PMOs provide an expanded perspective on studies of starch metabolism and may have potential in the food and starch-based biofuel industries.Polysaccharide monooxygenases (PMOs) are enzymes secreted by a variety of fungal and bacterial species (1–5). They have recently been found to oxidatively degrade chitin (6–8) and cellulose (8–14). PMOs have been shown to oxidize either the C1 or C4 atom of the β(1→4) glycosidic bond on the surface of chitin (6, 7) or cellulose (10–12, 14), resulting in the cleavage of this bond and the creation of new chain ends that can be subsequently processed by hydrolytic chitinases and cellulases. Several fungal PMOs were shown to significantly enhance the degradation of cellulose by hydrolytic cellulases (9), indicating that these enzymes can be used in the conversion of plant biomass into biofuels and other renewable chemicals.There are three families of PMOs characterized thus far: fungal PMOs that oxidize cellulose (9–12) (also known as GH61 and AA9); bacterial PMOs that are active either on chitin (6, 8) or cellulose (8, 13) (also known as CBM33 and AA10); and fungal PMOs that oxidize chitin (AA11) (7). Sequence homology between these three families is very low. Nevertheless, the available structures of PMOs from all three families reveal a conserved fold, including an antiparallel β-sandwich core and a highly conserved monocopper active site on a flat protein surface (Fig. 1A) (2, 6, 7, 9, 10, 15–17). Two histidine residues in a motif termed the histidine brace coordinate the copper center. The N-terminal histidine ligand binds in a bidentate mode, and its imidazole ring is methylated at the N_ε position in fungal PMOs (Fig. 1A).Open in a separate windowFig. 1.(A) Representative overall and active site structures of fungal PMOs (PDB ID code 2YET) (10). (B) Structure of cellulose (18, 19). Chitin also contains β(1→4) linkages and has similar crystalline higher order structure to cellulose. (C) Model structure of amylopectin (23–25). Hydrogen bonds are shown with green dashed lines.Considering the conserved structural features, it is not surprising that the currently known PMOs act on substrates with similar structures. Cellulose and chitin contain long linear chains of β(1→4) linked glucose units and N-acetylglucosamine units, respectively (Fig. 1B). The polymer chains form extensive hydrogen bonding networks, which result in insoluble and very stable crystalline structures (18–21). PMOs are thought to bind to the substrate with their flat active site surface, which orients the copper center for selective oxidation at the C1 or C4 position (6, 16, 22). Some bacterial chitin-binding proteins are cellulose-active PMOs (8, 13, 14), further suggesting that the set of PMO substrates is restricted to β(1→4) linked polymers of glucose and glucose derivatives.Here, we report on the identification of new families of PMOs that contain several key features of previously characterized PMOs, but act on substrates different from cellulose or chitin. A member of one of these novel families of PMOs, NCU08746, was shown to oxidatively cleave amylose, amylopectin, and starch. We designate the NCU08746 family as starch-active PMOs. Both amylose and amylopectin contain linear chains of α(1→4) linked glucose, whereas the latter also contains α(1→6) glycosidic linkages at branch points in the otherwise α(1→4) linked polymer. Unlike cellulose and chitin, amylose and amylopectin do not form microcrystals; instead, they exist in disordered, single helical, and double helical forms (23–27) (see Fig. 1C for example). Starch exists partially in nanocrystalline form, but lacks the flat molecular surfaces as those found in chitin and cellulose. The discovery of starch-active PMOs shows that this oxidative mechanism of glycosidic bond cleavage is more widespread than initially expected.     

Drosophila seminal protein ovulin mediates ovulation through female octopamine neuronal signaling

Across animal taxa, seminal proteins are important regulators of female reproductive physiology and behavior. However, little is understood about the physiological or molecular mechanisms by which seminal proteins effect these changes. To investigate this topic, we studied the increase in Drosophila melanogaster ovulation behavior induced by mating. Ovulation requires octopamine (OA) signaling from the central nervous system to coordinate an egg’s release from the ovary and its passage into the oviduct. The seminal protein ovulin increases ovulation rates after mating. We tested whether ovulin acts through OA to increase ovulation behavior. Increasing OA neuronal excitability compensated for a lack of ovulin received during mating. Moreover, we identified a mating-dependent relaxation of oviduct musculature, for which ovulin is a necessary and sufficient male contribution. We report further that oviduct muscle relaxation can be induced by activating OA neurons, requires normal metabolic production of OA, and reflects ovulin’s increasing of OA neuronal signaling. Finally, we showed that as a result of ovulin exposure, there is subsequent growth of OA synaptic sites at the oviduct, demonstrating that seminal proteins can contribute to synaptic plasticity. Together, these results demonstrate that ovulin increases ovulation through OA neuronal signaling and, by extension, that seminal proteins can alter reproductive physiology by modulating known female pathways regulating reproduction.Throughout internally fertilizing animals, seminal proteins play important roles in regulating female fertility by altering female physiology and, in some cases, behavior after mating (reviewed in refs. 1–3). Despite this, little is understood about the physiological mechanisms by which seminal proteins induce postmating changes and how their actions are linked with known networks regulating female reproductive physiology.In Drosophila melanogaster, the suite of seminal proteins has been identified, as have many seminal protein-dependent postmating responses, including changes in egg production and laying, remating behavior, locomotion, feeding, and in ovulation rate (reviewed in refs. 2 and 3). For example, the Drosophila seminal protein ovulin elevates ovulation rate to maximal levels during the 24 h following mating (4, 5), and the seminal protein sex peptide (SP) suppresses female mating receptivity and increases egg-laying behavior for several days after mating (6–10). However, although a receptor for SP has been identified (11), along with elements of the neural circuit in which it is required (12–14), SP’s mechanism of action has not yet been linked to regulatory networks known to control postmating behaviors. Thus, a crucial question remains: how do male-derived seminal proteins interact with regulatory networks in females to trigger postmating responses?We addressed this question by examining the stimulation of Drosophila ovulation by the seminal protein ovulin. In insects, ovulation, defined here as the release of an egg from the ovary to the uterus, is among the best understood reproductive processes in terms of its physiology and neurogenetics (15–27). In D. melanogaster, ovulation requires input from neurons in the abdominal ganglia that release the catecholaminergic neuromodulators octopamine (OA) and tyramine (17, 18, 28). Drosophila ovulation also requires an OA receptor, OA receptor in mushroom bodies (OAMB) (19, 20). Moreover, it has been proposed that OA may integrate extrinsic factors to regulate ovulation rates (17). Noradrenaline, the vertebrate structural and functional equivalent to OA (29, 30), is important for mammalian ovulation, and its dysregulation has been associated with ovulation disorders (31–38). In this paper we investigate the role of neurons that release OA and tyramine in ovulin’s action. For simplicity, we refer to these neurons as “OA neurons” to reflect the well-established role of OA in ovulation behavior (16–20, 22).We investigated how action of the seminal protein ovulin relates to the conserved canonical neuromodulatory pathway that regulates ovulation physiology (39–41). We found that ovulin increases ovulation and egg laying through OA neuronal signaling. We also found that ovulin relaxes oviduct muscle tonus, a postmating process that is also mediated by OA neuronal signaling. Finally, subsequent to these effects we detected an ovulin-dependent increase in synaptic sites between OA motor neurons and oviduct muscle, suggesting that ovulin’s stimulation of OA neurons could have increased their synaptic activity. These results suggest that ovulin affects ovulation by manipulating the gain of a neuromodulatory pathway regulating ovulation physiology.