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The efficient bioactivation of CO2 provides an alternative new strategy for producing high value chemicals and fuels. Normally, in vitro activation of CO2 can be achieved by using formate dehydrogenase (FDH). However, the CO2 solubility and the activity of commercial FDHCb remain a tough challenge for the efficient bioactivation of CO2. Here, we report a new “ionozyme” strategy created by using ionic liquids (ILs) as a solvent and enzyme stabilizer, resulting in a 142.3-fold increase in CO2 conversion over FDHCb. The ionozyme (FDHPa-[CH][Pro]-[TMGH][PhO]) was first developed by combing a discovered novel FDHPa with an efficient synergistic ionic microenvironment. The remarkable performance of this ionozyme is attributed to forming key intermediates [CH][ProCOO] and [TMGH][PhOCOO], stabilizing the enzyme structure with increased solvation structure, and shortening the distance (3.9 A) between NADH and CO2 to favor the hydride transfer by facilitating their relative orientation and forming new hydrogen bonds at the active sites. This bioactivation of CO2 by this specific ionozyme represents ideal starting points for the sustainable carbon cycle.

Cadaverine (1,5-pentanediamine) is the most important precursor for nylon PA5X, which has an extremely competitive market due to the high consumption of engineered plastics and fibers. The key enzyme lysine decarboxylase is in desperate need for industrial bio-based cadaverine production. In this study, new lysine decarboxylases have been mined by peptide pattern recognition for the high-level production of cadaverine. The predicted enzymes were expressed in E. coli and analyzed as whole-cell biocatalysts. Two outstanding recombinant enzymes from Edwardsiella tarda and Aeromonas sp. (LdcEt and LdcAer, respectively), were further purified and characterized. The optimal pH and temperature for LdcEt and LdcAer were pH 7, 55 °C and pH 6, 50 °C, respectively. These two enzymes were stable over the pH range of 5–7 during 24 h incubation. Both of them still had activity after being incubated at pH 8. LdcEt and LdcAer also have good thermostability with a half-life of 14.5 h and 20.3 h at 60 °C, respectively. The kinetic analysis showed that they have high catalytic efficiency as the kcat/Km (LdcEt: 243.28 s−1 mM−1; LdcAer: 266.86 s−1 mM−1) was the highest when compared for all the related studies. The whole cell conversion by LdcEt with 0.1% (v/v) Triton X-100 can convert 100% 2 M L-lysine HCl to cadaverine in 2 h and the cadaverine productivity was high up to 103.47 ± 4.37 g L−1 h−1. The in vitro studies further found that unpurified cell-lysates of LdcEt had relatively higher activity compared to the whole cell conversion. Meanwhile, 0.4 mg mL−1 purified LdcEt and LdcAer can efficiently produce 165.96 ± 1.41 g L−1 and 155.84 ± 4.63 g L−1 cadaverine only in 0.5 h, respectively. The high specific activity, pH, thermo-stability, and catalytic efficiency in vivo and in vitro, combined with simultaneous cell treatment with Triton X-100 and the bioconversion process, provide LdcEt with great potential in the economic and efficient production of cadaverine at the industrial scale.

During the Covid-19 pandemic, Denmark has pursued a unique mass testing strategy culminating in testing of more than 8,000 citizens per 100,000 inhabitants per day in the Spring 2021. The strategy includes free access to Covid-19 testing and since 2021, compulsory documentation for negative test or vaccination for access to workplace, educational institutions, restaurants, and many other places.In the present study we analysed the effect of the Danish mass testing strategy throughout relevant stages of the pandemic. Mass testing was found not to have impact on the number of hospitalizations during the pandemic. Furthermore, during the highest level of testing in the spring 2021 the fraction of positive tests increased slightly on comparable days indicating that mass testing at best, did not reduce the prevalence of Covid-19.The relationship between positives in antigen testing and in PCR testing indicated that many patients are not tested early in their infection where the risk of transmission is highest.A likely explanation for the lack of impact of mass testing on hospitalizations and infections is that the testing increases risk-behaviour of the tested persons and that a high fraction of false negatives at low Covid-19 prevalence combined with increased risk-behaviour outweighs beneficial effects of mass testing.

Huge quantities of keratinaceous waste are a substantial and almost totally unexploited protein resource which could be upgraded for use as high value-added products by efficient keratinolytic enzymes. In this study, we found that Bacillus sp. 8A6 can efficiently degrade chicken feather after 24 h growth. According to phylogenetic analysis, the strain (formerly identified as Bacillus pumilus 8A6) belongs to the B. pumilus species clade but it is more closely related to B. safensis. Hotpep predicted 233 putative proteases from Bacillus sp. 8A6 genome. Proteomic analysis of culture broths from Bacillus sp. 8A6 cultured on chicken feathers or on a mixture of bristles and hooves showed high abundance of proteins with functions related to peptidase activity. Five proteases (one from family M12, one from family S01A, two from family S08A and one from family T3) and four oligopeptide and dipeptide binding proteins were highly expressed when Bacillus sp. 8A6 was grown in keratin media compared to LB medium. This study is the first to report that bacterial proteases in families M12, S01A and T3 are involved in keratin degradation together with proteases from family S08.

Certain enzymes of the glycoside hydrolase family 20 (GH20) exert transglycosylation activity and catalyze the transfer of β-N-acetylglucosamine (GlcNAc) from a chitobiose donor to lactose to produce lacto-N-triose II (LNT2), a key human milk oligosaccharide backbone moiety. The present work is aimed at increasing the transglycosylation activity of two selected hexosaminidases, HEX1 and HEX2, to synthesize LNT2 from lactose and chitobiose. Peptide pattern recognition analysis was used to categorize all GH20 proteins in subgroups. On this basis, we identified a series of proteins related to HEX1 and HEX2. By sequence alignment, four additional loop sequences were identified that were not present in HEX1 and HEX2. Insertion of these loop sequences into the wild-type sequences induced increased transglycosylation activity for three out of eight mutants. The best mutant, HEX1GTEPG , had a transglycosylation yield of LNT2 on the donor that was nine times higher than that of the wild-type enzyme. Homology modeling of the enzymes revealed that the loop insertion produced a more shielded substrate-binding pocket. This shielding is suggested to explain the reduced hydrolytic activity, which in turn resulted in the increased transglycosylation activity of HEX1GTEPG .

Viscosity reduction has a great impact on the efficiency of ethanol production when using roots and tubers as feedstock. Plant cell wall-degrading enzymes have been successfully applied to overcome the challenges posed by high viscosity. However, the changes in cell wall polymers during the viscosity-reducing process are poorly characterized. Comprehensive microarray polymer profiling, which is a high-throughput microarray, was used for the first time to map changes in the cell wall polymers of sweet potato (Ipomoea batatas), cassava (Manihot esculenta), and Canna edulis Ker. over the entire viscosity-reducing process. The results indicated that the composition of cell wall polymers among these three roots and tubers was markedly different. The gel-like matrix and glycoprotein network in the C. edulis Ker. cell wall caused difficulty in viscosity reduction. The obvious viscosity reduction of the sweet potato and the cassava was attributed to the degradation of homogalacturonan and the released 1,4-β-d-galactan and 1,5-α-l-arabinan.

A novel ferulic acid esterase encoding gene CtFae , was successfully cloned from a highly esterase active strain of the thermophile ascomycetous fungus Chaetomium thermophilum var. dissitum ; the gene was heterologously expressed in Pichia pastoris KM71H. The recombinant enzyme (CtFae) was purified to homogeneity and subsequently characterized. CtFae was active towards synthetic esters of ferulic, p-coumaric, and caffeic acids, as well as towards wide range of p-nitrophenyl substrates. Its temperature and pH optima were 55 °C and pH 6.0, respectively. Enzyme rare features were broad pH optimum, high stability at extended acidic–alkaline pH region, and noticeable thermostability. CtFae released ferulic acid from wheat insoluble arabinoxylan, as well as ferulic and p-coumaric acids from wheat straw and ryegrass, indicating potentials for industrial applications like biomass conversion in biorefineries.

Fungus-growing termites rely on mutualistic fungi of the genus Termitomyces and gut microbes for plant biomass degradation. Due to a certain degree of symbiont complementarity, this tripartite symbiosis has evolved as a complex bioreactor, enabling decomposition of nearly any plant polymer, likely contributing to the success of the termites as one of the main plant decomposers in the Old World. In this study, we evaluated which plant polymers are decomposed and which enzymes are active during the decomposition process in two major genera of fungus-growing termites. We found a diversity of active enzymes at different stages of decomposition and a consistent decrease in plant components during the decomposition process. Furthermore, our findings are consistent with the hypothesis that termites transport enzymes from the older mature parts of the fungus comb through young worker guts to freshly inoculated plant substrate. However, preliminary fungal RNA sequencing (RNA-seq) analyses suggest that this likely transport is supplemented with enzymes produced in situ . Our findings support that the maintenance of an external fungus comb, inoculated with an optimal mixture of plant material, fungal spores, and enzymes, is likely the key to the extraordinarily efficient plant decomposition in fungus-growing termites. IMPORTANCE Fungus-growing termites have a substantial ecological footprint in the Old World (sub)tropics due to their ability to decompose dead plant material. Through the establishment of an elaborate plant biomass inoculation strategy and through fungal and bacterial enzyme contributions, this farming symbiosis has become an efficient and versatile aerobic bioreactor for plant substrate conversion. Since little is known about what enzymes are expressed and where they are active at different stages of the decomposition process, we used enzyme assays, transcriptomics, and plant content measurements to shed light on how this decomposition of plant substrate is so effectively accomplished.

Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes.

The glycoside hydrolase family 45 (GH45) of carbohydrate modifying enzymes is mostly comprised of β-1,4-endoglucanases. Significant diversity between the GH45 members has prompted the division of this family into three subfamilies: A, B and C, which may differ in terms of the mechanism, general architecture, substrate binding and cleavage. Here, we use a combination of X-ray crystallography, bioinformatics, enzymatic assays, molecular dynamics simulations and site-directed mutagenesis experiments to characterize the structure, substrate binding and enzymatic specificity of the GH45 subfamily C endoglucanase from Phanerochaete chrysosporium (PcCel45A). We investigated the role played by different residues in the binding of the enzyme to cellulose oligomers of different lengths and examined the structural characteristics and dynamics of PcCel45A that make subfamily C so dissimilar to other members of the GH45 family. Due to the structural similarity shared between PcCel45A and domain I of expansins, comparative analysis of their substrate binding was also carried out. Our bioinformatics sequence analyses revealed that the hydrolysis mechanisms in GH45 subfamily C is not restricted to use of the imidic asparagine as a general base in the “Newton’s cradle” catalytic mechanism recently proposed for this subfamily.

Methanol intolerance of lipase is a major limitation in lipase-catalyzed methanolysis reactions. In this study, to understand the molecular mechanism of methanol-induced inactivation of lipases, we performed molecular dynamics (MD) simulations of Thermomyces lanuginosus lipase (TLL) in water and methanol and compared the observed structural and dynamic properties. The solvent accessibility analysis showed that in methanol, polar residues tended to be buried away from the solvent while non-polar residues tended to be more solvent-exposed in comparison to those in water. Moreover, we observed that in methanol, the van der Waals packing of the core residues in two hydrophobic regions of TLL became weak. Additionally, the catalytically relevant hydrogen bond between Asp201 OD2 and His258 ND1 in the active site was broken when the enzyme was solvated in methanol. This may affect the stability of the tetrahedral intermediates in the catalytic cycle of TLL. Furthermore, compared to those in water, some enzyme surface residues displayed enhanced movement in methanol with higher Cα root-mean-square atomic positional fluctuation values. One of such methanol-affecting surface residues (Ile241) was chosen for mutation, and MD simulation of the I241E mutant in methanol was conducted. The structural analysis of the mutant showed that replacing a non-polar surface residue with an acidic one at position 241 contributed to the stabilization of enzyme structure in methanol. Ultimately, these results, while providing molecular-level insights into the destabilizing effect of methanol on TLL, highlight the importance of surface residue redesign to improve the stability of lipases in methanol environments.

Poultry processing plants and slaughterhouses produce huge quantities of feathers and hair/bristle waste annually. These keratinaceous wastes are highly resistant to degradation. Onygena corvina, a non-pathogenic fungus, grows specifically on feathers, hooves, horn, and hair in nature. Hence, the proteases secreted by O. corvina are interesting in view of their potential relevance for industrial decomposition of keratinaceous wastes. We sequenced and assembled the genome of O. corvina and used a method called peptide pattern recognition to identify 73 different proteases. Comparative genome analysis of proteases in keratin-degrading and non-keratin-degrading fungi indicated that 18 putative secreted proteases from four protease families (M36, M35, M43, and S8) may be responsible for keratin decomposition. Twelve of the 18 predicted protease genes could be amplified from O. corvina grown on keratinaceous materials and were transformed into Pichia pastoris. One of the recombinant proteases belonging to the S8 family showed high keratin-degrading activity. Furthermore, 29 different proteases were identified by mass spectrometry in the culture broth of O. corvina grown on feathers and bristle. The culture broth was fractionated by ion exchange chromatography to isolate active fractions with five novel proteases belonging to three protease families (S8, M28, and M3). Enzyme blends composed of three of these five proteases, one from each family, showed high degree of degradation of keratin in vitro. A blend of novel proteases, such as those we discovered, could possibly find a use for degrading keratinaceous wastes and provide proteins, peptides, and amino acids as valuable ingredients for animal feed. Electronic supplementary material The online version of this article (doi:10.1007/s00253-015-6805-9) contains supplementary material, which is available to authorized users.

The thermophilic ascomycetous fungus Malbranchea cinnamomea produces lipases (EC 3.1.1.3) that allow it to grow efficiently on medium containing triacylglycerol substrates such as plant oils or tributyrin as sole carbon source. In the transcriptome of M. cinnamomea grown on olive oil, we found one cDNA sequence encoding a putative extracellular lipase. This gene, termed as MclipA, was cloned and heterologously expressed in Pichia pastoris. The recombinant protein, rMclipA, catalyzed the hydrolysis of short-chain fatty acid ester such as p-nitrophenyl butyrate (C4) and long-chain fatty acid ester such as p-nitrophenyl myristate (C14). These results indicate that MclipA is a true triacylglycerol lipase. For rMclipA, the optimum lipase activity was obtained at 45 °C, and more than 93% of enzyme activity was retained after 24 H of incubation at temperatures up to 50 °C. rMclipA was active toward p-nitrophenyl esters of various carbon chain lengths with peak activity on long-chain fatty acid (C14). rMclipA displayed high sn-1,3-regioselectivity on hydrolyzing triolein. rMclipA can catalyze oleic acid methyl ester synthesis resulting in a 71% esterification degree after 24 H of reaction at 40 °C. These properties suggest that rMclipA has potential application in, for example, selective hydrolysis of oil, modification of triacylglycerol, and production of biodiesel.

MicroRNAs are key post-transcriptional regulators of gene expression that are involved in several biological processes including those that mediate disease pathophysiology. Hence, quantifying microRNA expression levels can provide important and novel insights into disease biology. In recent years, the pig has emerged as an excellent large animal model for studying human diseases and conditions (e.g. obesity) due to similarities in organ size, gastro-intestinal tract, metabolism, immune response, genetics and the availability of relevant tissues that are not normally easily available in humans. We have previously developed two useful tools in the field of microRNA quantitative real time PCR (qPCR): 1) a very specific, sensitive and simple qPCR method based on DNA primers, MiR-specific qPCR; and 2) the free primerdesign software miRprimer. The present study integrates in a publicly accessible database all available information on validated porcine microRNA qPCR assays that have utilized these tools. Due to the high phylogenetic conservation in microRNA sequence between pig, humans and other domestic species this database is a very valuable resource for the broader scientist community who are working on microRNAs and want to use readily tested qPCR assays in a simple and cost-effective manner.

Large collections of protein sequences with divergent sequences are tedious to analyze for understanding their phylogenetic or structure-function relation. Peptide Pattern Recognition is an algorithm that was developed to facilitate this task but the previous version does only allow a limited number of sequences as input.I implemented Peptide Pattern Recognition as a multithread software designed to handle large numbers of sequences and perform analysis in a reasonable time frame. Benchmarking showed that the new implementation of Peptide Pattern Recognition is twenty times faster than the previous implementation on a small protein collection with 673 MAP kinase sequences. In addition, the new implementation could analyze a large protein collection with 48,570 Glycosyl Transferase family 20 sequences without reaching its upper limit on a desktop computer.Peptide Pattern Recognition is a useful software for providing comprehensive groups of related sequences from large protein sequence collections.

Background Improved carbohydrate-active enzymes (CAZymes) are needed to fulfill the goal of producing food, feed, fuel, chemicals, and materials from biomass. Little is known about how the diverse microbial communities in anaerobic digesters (ADs) metabolize carbohydrates or which CAZymes that are present, making the ADs a unique niche to look for CAZymes that can potentiate the enzyme blends currently used in industry. Results Enzymatic assays showed that functional CAZymes were secreted into the AD environments in four full-scale mesophilic Danish ADs fed with primary and surplus sludge from municipal wastewater treatment plants. Metagenomes from the ADs were mined for CAZymes with Homology to Peptide Patterns (HotPep). 19,335 CAZymes were identified of which 30% showed 50% or lower identity to known proteins demonstrating that ADs make up a promising pool for discovery of novel CAZymes. A function was assigned to 54% of all CAZymes identified by HotPep. Many different α-glucan-acting CAZymes were identified in the four metagenomes, and the most abundant family was glycoside hydrolase family 13, which contains α-glucan-acting CAZymes. Cellulytic and xylanolytic CAZymes were also abundant in the four metagenomes. The cellulytic enzymes were limited almost to endoglucanases and β-glucosidases, which reflect the large amount of partly degraded cellulose in the sludge. No dockerin domains were identified suggesting that the cellulytic enzymes in the ADs studied operate independently. Of xylanolytic CAZymes, especially xylanases and β-xylosidase, but also a battery of accessory enzymes, were present in the four ADs. Conclusions Our findings suggest that the ADs are a good place to look for novel plant biomass degrading and modifying enzymes that can potentiate biological processes and provide basis for production of a range of added-value products from biorefineries. Electronic supplementary material The online version of this article (doi:10.1186/s13068-017-0840-y) contains supplementary material, which is available to authorized users.

Glucuronoyl esterases are a novel type of enzymes believed to catalyze the hydrolysis of ester linkages between lignin and glucuronoxylan in lignocellulosic biomass, linkages known as lignin carbohydrate complexes. These complexes contribute to the recalcitrance of lignocellulose. Glucuronoyl esterases are a part of the microbial machinery for lignocellulose degradation and coupling their role to the occurrence of lignin carbohydrate complexes in biomass is a desired research goal. Glucuronoyl esterases have been assigned to CAZymes family 15 of carbohydrate esterases, but only few examples of characterized enzymes exist and the exact activity is still uncertain. Here peptide pattern recognition is used as a bioinformatic tool to identify and group new CE15 proteins that are likely to have glucuronoyl esterase activity. 1024 CE15-like sequences were drawn from GenBank and grouped into 24 groups. Phylogenetic analysis of these groups made it possible to pinpoint groups of putative fungal and bacterial glucuronoyl esterases and their sequence variation. Moreover, a number of groups included previously undescribed CE15-like sequences that are distinct from the glucuronoyl esterases and may possibly have different esterase activity. Hence, the CE15 family is likely to comprise other enzyme functions than glucuronoyl esterase alone. Gene annotation in a variety of fungal and bacterial microorganisms showed that coprophilic fungi are rich and diverse sources of CE15 proteins. Combined with the lifestyle and habitat of coprophilic fungi, they are predicted to be excellent candidates for finding new glucuronoyl esterase genes.

Background Carbohydrate-active enzymes are found in all organisms and participate in key biological processes. These enzymes are classified in 274 families in the CAZy database but the sequence diversity within each family makes it a major task to identify new family members and to provide basis for prediction of enzyme function. A fast and reliable method for de novo annotation of genes encoding carbohydrate-active enzymes is to identify conserved peptides in the curated enzyme families followed by matching of the conserved peptides to the sequence of interest as demonstrated for the glycosyl hydrolase and the lytic polysaccharide monooxygenase families. This approach not only assigns the enzymes to families but also provides functional prediction of the enzymes with high accuracy. Results We identified conserved peptides for all enzyme families in the CAZy database with Peptide Pattern Recognition. The conserved peptides were matched to protein sequence for de novo annotation and functional prediction of carbohydrate-active enzymes with the Hotpep method. Annotation of protein sequences from 12 bacterial and 16 fungal genomes to families with Hotpep had an accuracy of 0.84 (measured as F1-score) compared to semiautomatic annotation by the CAZy database whereas the dbCAN HMM-based method had an accuracy of 0.77 with optimized parameters. Furthermore, Hotpep provided a functional prediction with 86% accuracy for the annotated genes. Hotpep is available as a stand-alone application for MS Windows. Conclusions Hotpep is a state-of-the-art method for automatic annotation and functional prediction of carbohydrate-active enzymes. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1625-9) contains supplementary material, which is available to authorized users.

Discovery of keratin-degrading enzymes from fungi and bacteria has primarily focused on finding one protease with efficient keratinase activity. Recently, an investigation was conducted of all keratinases secreted from a fungus known to grow on keratinaceous materials, such as feather, horn, and hooves. The study demonstrated that a minimum of three keratinases is needed to break down keratin, an endo-acting, an exo-acting, and an oligopeptide-acting keratinase. Further, several studies have documented that disruption of sulfur bridges of the keratin structure acts synergistically with the keratinases to loosen the molecular structure, thus giving the enzymes access to their substrate, the protein structure. With such complexity, it is relevant to compare microbial keratin decomposition with the microbial decomposition of well-studied polymers such as cellulose and chitin. Interestingly, it was recently shown that the specialized enzymes, lytic polysaccharide monoxygenases (LPMOs), shown to be important for breaking the recalcitrance of cellulose and chitin, are also found in keratin-degrading fungi. A holistic view of the complex molecular self-assembling structure of keratin and knowledge about enzymatic and boosting factors needed for keratin breakdown have been used to formulate a hypothesis for mode of action of the LPMOs in keratin decomposition and for a model for degradation of keratin in nature. Testing such hypotheses and models still needs to be done. Even now, the hypothesis can serve as an inspiration for designing industrial processes for keratin decomposition for conversion of unexploited waste streams, chicken feather, and pig bristles into bioaccessible animal feed.

Anaerobic digesters (ADs) are one of several ways to produce renewable energy, which in the case of ADs is in the form of methane. Several microbial groups are involved in anaerobic degradation of organic wastes such as animal manures and wastewater, and solid organic wastes such as sludge, crop, and food wastes (Alvarado et al., 2014). The processes and the roles of the microorganisms that are involved in biomass conversion and methane production in ADs are still not fully understood. We are investigating thermophilic and mesophilic ADs that use wastewater surplus sludge for methane production. To gain insight into both the degradation of the carbohydrates and the various roles of the microbes in the ADs we have mined metagenomes from both types of ADs for glycoside hydrolases, carbohydrate esterases, polysaccharide lyases, auxiliary activities, and carbohydrate binding modules. The mining was done with the Peptide Pattern Recognition (PPR) program (Busk and Lange, 2013), which is a novel non-alignment based approach that can predict function of e.g. CAZymes. PPR identifies a set of short conserved sequences, which can be used as a finger print when mining genomes for novel enzymes. In both thermophilic and mesophilic ADs a wide variety of carbohydrate active enzyme functions were discovered in the metagenomic sequencing of the microbial consortia. The most dominating type of glycoside hydrolases were β-glucosidases (up to 27%), α-amylases (up to 10%), α-glucosidases (up to 8%), α-galactosidases (up to 9%) and β-galactosidases (up to 7%). For carbohydrate esterases the by far most dominating type was acetylxylan esterases (up to 59%) followed by feruloyl esterases (up to 16%). Less than 15 polysaccharide lyases were identified in the different metagenomes and not surprisingly no polysaccharide monooxygenases were identifed. For the carbohydrate binding modules one of the most dominating families were CBM48 (up to 16%).

Background Lytic polysaccharide monooxygenases are important enzymes for the decomposition of recalcitrant biological macromolecules such as plant cell wall and chitin polymers. These enzymes were originally designated glycoside hydrolase family 61 and carbohydrate-binding module family 33 but are now classified as auxiliary activities 9, 10 and 11 in the CAZy database. To obtain a systematic analysis of the divergent families of lytic polysaccharide monooxygenases we used Peptide Pattern Recognition to divide 5396 protein sequences resembling enzymes from families AA9 (1828 proteins), AA10 (2799 proteins) and AA11 (769 proteins) into subfamilies. Results The results showed that the lytic polysaccharide monooxygenases have two conserved regions identified by conserved peptides specific for each AA family. The peptides were used for in silico PCR discovery of the lytic polysaccharide monooxygenases in 79 fungal and 95 bacterial genomes. The bacterial genomes encoded 0 – 7 AA10s (average 0.6). No AA9 or AA11 were found in the bacteria. The fungal genomes encoded 0 – 40 AA9s (average 7) and 0 – 15 AA11s (average 2) and two of the fungi possessed a gene encoding a putative AA10. The AA9s were mainly found in plant cell wall-degrading asco- and basidiomycetes in agreement with the described role of AA9 enzymes. In contrast, the AA11 proteins were found in 36 of the 39 ascomycetes and in only two of the 32 basidiomycetes and their abundance did not correlate to the degradation of cellulose and hemicellulose. Conclusions These results provides an overview of the sequence characteristics and occurrence of the divergent AA9, AA10 and AA11 families and pave the way for systematic investigations of the of lytic polysaccharide monooxygenases and for structure-function studies of these enzymes. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1601-6) contains supplementary material, which is available to authorized users.

The thermophilic ascomycetous fungus Malbranchea cinnamomea produces lipases (EC 3.1.1.3) that allow it to grow efficiently on medium containing triacylglycerol substrates such as plant oils or tributyrin as sole carbon source. In the transcriptome of M. cinnamomea grown on olive oil, we found one cDNA sequence encoding a putative extracellular lipase. This gene, termed as MclipA, was cloned and heterologously expressed in Pichia pastoris. The recombinant protein, rMclipA, catalyzed the hydrolysis of short-chain fatty acid ester such as p-nitrophenyl butyrate (C4) and long-chain fatty acid ester such as p-nitrophenyl myristate (C14). These results indicate that MclipA is a true triacylglycerol lipase. For rMclipA, the optimum lipase activity was obtained at 45 °C, and more than 93% of enzyme activity was retained after 24 H of incubation at temperatures up to 50 °C. rMclipA was active toward p-nitrophenyl esters of various carbon chain lengths with peak activity on long-chain fatty acid (C14). rMclipA displayed high sn-1,3-regioselectivity on hydrolyzing triolein. rMclipA can catalyze oleic acid methyl ester synthesis resulting in a 71% esterification degree after 24 H of reaction at 40 °C. These properties suggest that rMclipA has potential application in, for example, selective hydrolysis of oil, modification of triacylglycerol, and production of biodiesel.

Poultry farms produce huge quantities of feather waste that causes serious local disposal and accumulative problems and results in environmental pollution. Feathers are composed of β-keratin rich protein and are highly resistant to degradation. The feather degradation potential of the non-pathogenic fungus Onygena corvina was investigated by cultivating this fungus in a medium with duck feathers as the sole carbon and nitrogen source. O. corvina secreted a high level of alkaline protease and keratinase sufficient for degrading duck feathers completely. The optimal conditions for feather keratinolysis were 25oC, initial pH 8 and feather concentration of 15 g/l. The maximum protease and keratinase activities were found to be 1435 and 72 U/ml, respectively. The protease was active over a broad pH (pH 6-11) and temperature (40-60oC) range. The keratinase was sensitive to serine protease inhibitors and organic solvents and inhibited by most metal ions, but was stimulated by Ca2+ and Fe2+. Zymogram analysis showed that O. corvina secreted mainly proteases with molecular weight of approximately 35 and 20 kDa. Compared to the fungus Trichoderma asperellum, O. corvina showed higher potential and could be of relevance for bioconverting feather waste into high value products.

Specific enzymes from plant-pathogenic microbes demonstrate high effectiveness for natural lignocellulosic biomass degradation and utilization. The secreted lignocellulolytic enzymes of Fusarium species have not been investigated comprehensively, however. In this study we compared cellulose and hemicellulose-degrading enzymes of classical fungal enzyme producers with those of Fusarium species. The results indicated that Fusarium species are robust cellulose and hemicellulose degraders. Wheat bran, carboxymethylcellulose and xylan-based growth media induced a broad spectrum of lignocellulolytic enzymes in Fusarium commune. Prediction of the cellulose and hemicellulose-degrading enzymes in the F. commune transcriptome using peptide pattern recognition revealed 147 genes encoding glycoside hydrolases and six genes encoding lytic polysaccharide monooxygenases (AA9 and AA11), including all relevant cellulose decomposing enzymes (GH3, GH5, GH6, GH7, GH9, GH45 and AA9), and abundant hemicellulases. We further applied peptide pattern recognition to reveal nine and seven subfamilies of GH10 and GH11 family enzymes, respectively. The uncharacterized XYL10A, XYL10B and XYL11 enzymes of F. commune were classified, respectively, into GH10 subfamily 1, subfamily 3 and GH11 subfamily 1. These xylanases were successfully expressed in the PichiaPink™ system with the following properties: the purified recombinant XYL10A had interesting high specific activity; XYL10B was active at alkaline conditions with both endo-1,4-β-d-xylanase and β-xylosidase activities; and XYL11 was a true xylanase characterized by high substrate specificity. These results indicate that F. commune with genetic modification is a promising source of enzymes for the decomposition of lignocellulosic biomass.

The thermophilic filamentous ascomycete Chaetomium thermophilum produces functionally diverse hemicellulases when grown on hemicellulose as carbon source. Acetyl xylan esterase (EC 3.1.1.72) is an important accessory enzyme in hemicellulose biodegradation. Although the genome of C. thermophilum has been sequenced, its carbohydrate esterases are not annotated yet. We applied peptide pattern recognition (PPR) tool for sequence analysis of the C. thermophilum genome, and 11 carbohydrate esterase genes were discovered. Furthermore, we cloned and heterologously expressed two putative acetyl xylan esterase genes, CtAxeA and CtAxeB, in Pichia pastoris. The recombinant proteins, rCtAxeA and rCtAxeB, released acetic acids from p-nitrophenyl acetate and water-insoluble wheat arabinoxylan. These results indicate that CtAxeA and CtAxeB are true acetyl xylan esterases. For both recombinant esterases, over 93 % of the initial activity was retained after 24 h of incubation at temperatures up to 60 °C, and over 90 % of the initial activity was retained after 24 h of incubation in different buffers from pH 4.0 to 9.0 at 4 and 50 °C. The overall xylose yield from wheat arabinoxylan hydrolysis was 8 % with xylanase treatment and increased to 34 % when xylanase was combined with rCtAxeA and rCtAxeB. In sum, the present study first report the biochemical characterization of two acetyl xylan esterases from C. thermophilum, which are efficient in hydrolyzing hemicellulose with potential application in biomass bioconversion to high value chemicals or biofuels.

The cellulose-degrading fungal enzymes are glycoside hydrolases of the GH families and lytic polysaccharide monooxygenases. The entanglement of glycoside hydrolase families and functions makes it difficult to predict the enzymatic activity of glycoside hydrolases based on their sequence. In the present study we further developed the method Peptide Pattern Recognition to an automatic approach not only to find all genes encoding glycoside hydrolases and lytic polysaccharide monooxygenases in fungal genomes but also to predict the function of the genes. The functional annotation is an important feature as it provides a direct route to predict function from primary sequence. Furthermore, we used Peptide Pattern Recognition to compare the cellulose-degrading enzyme activities encoded by 39 fungal genomes. The results indicated that cellobiohydrolases and AA9 lytic polysaccharide monooxygenases are hallmarks of cellulose-degrading fungi except brown rot fungi. Furthermore, a high number of AA9, endocellulase and β-glucosidase genes were identified, not in what are known to be the strongest, specialized lignocellulose degraders but in saprophytic fungi that can use a wide variety of substrates whereas only few of these genes were found in fungi that have a limited number of natural, lignocellulotic substrates. This correlation suggests that enzymes with different properties are necessary for degradation of cellulose in different complex substrates. Interestingly, clustering of the fungi based on their predicted enzymes indicated that Ascomycota and Basidiomycota use the same enzymatic activities to degrade plant cell walls.

Aspergillus hancockii sp. nov., classified in Aspergillus subgenus Circumdati section Flavi, was originally isolated from soil in peanut fields near Kumbia, in the South Burnett region of southeast Queensland, Australia, and has since been found occasionally from other substrates and locations in southeast Australia. It is phylogenetically and phenotypically related most closely to A. leporis States and M. Chr., but differs in conidial colour, other minor features and particularly in metabolite profile. When cultivated on rice as an optimal substrate, A. hancockii produced an extensive array of 69 secondary metabolites. Eleven of the 15 most abundant secondary metabolites, constituting 90% of the total area under the curve of the HPLC trace of the crude extract, were novel. The genome of A. hancockii, approximately 40 Mbp, was sequenced and mined for genes encoding carbohydrate degrading enzymes identified the presence of more than 370 genes in 114 gene clusters, demonstrating that A. hancockii has the capacity to degrade cellulose, hemicellulose, lignin, pectin, starch, chitin, cutin and fructan as nutrient sources. Like most Aspergillus species, A. hancockii exhibited a diverse secondary metabolite gene profile, encoding 26 polyketide synthase, 16 nonribosomal peptide synthase and 15 nonribosomal peptide synthase-like enzymes.

Mucor circinelloides produces plant cell wall degrading enzymes that allow it to grow on complex polysaccharides. Although the genome of M. circinelloides has been sequenced, only few plant cell wall degrading enzymes are annotated in this species. We applied peptide pattern recognition, which is a non-alignment based method for sequence analysis to map conserved sequences in glycoside hydrolase families. The conserved sequences were used to identify similar genes in the M. circinelloides genome. We found 12 different novel genes encoding members of the GH3, GH5, GH9, GH16, GH38, GH47 and GH125 families in M. circinelloides. One of the two GH3-encoding genes was predicted to encode a β-glucosidase (EC 3.2.1.21). We expressed this gene in Pichia pastoris KM71H and found that the purified recombinant protein had relative high β-glucosidase activity (1.73 U/mg) at pH5 and 50 °C. The Km and Vmax with p-nitrophenyl-β- d -glucopyranoside as substrate was 0.20 mM and 2.41 U/mg, respectively. The enzyme was not inhibited by glucose and retained 84% activity at glucose concentrations up to 140 mM. Although zygomycetes are not considered to be important degraders of lignocellulosic biomass in nature, the present finding of an active β-glucosidase in M. circinelloides demonstrates that enzymes from this group of fungi have a potential for cellulose degradation.