Improving the Thermostability of Acidic Pullulanase from Bacillus naganoensis by Rational Design

Bioinformatics-assisted mining and design of novel pullulanase suitable for starch cold hydrolysis

Cold-active pullulanases with good catalytic performance possess promising applications in cold hydrolysis of starch. Adopting bioinformatics-assisted mining strategies, 7 candidate cold-active pullulanases were initially screened out from IMG/MER database. Among the candidates, PulBs exhibited good thermostability and the highest specific activity of 147.4 U/mg. The half-life of PulBs was about 200 h at 35 °C. Employing PulBs as the initial enzyme, the active-site design of FuncLib was implemented to enhance the activity. The design PulBs-20 exhibited an enhanced specific activity of 209.9 U/mg, which was 1.4 times that of PulBs. Furthermore, the thermostability of PulBs-20 was augmented, with a half-life of 250 h at 35 °C. When applied in the cold hydrolysis of starch, PulBs-20 can effectively enhance the hydrolysis effect of raw starch. Supplemented with the raw starch-hydrolyzing α-amylase AmyZ1 and PulBs-20, the hydrolysis rate of raw corn starch increased to 53.5 %, which was 1.3 times that of using AmyZ1 alone. Due to its high hydrolysis activity and good thermostability, PulBs-20 can serve as an efficient accessory enzyme in starch cold hydrolysis.

MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution

The demand for high efficiency glycoside hydrolases (GHs) is on the rise due to their various industrial applications. However, improving the catalytic efficiency of an enzyme remains a challenge. This investigation showcases the capability of a deep neural network and method for enhancing the catalytic efficiency (MECE) platform to predict mutations that improve catalytic activity in GHs. The MECE platform includes DeepGH, a deep learning model that is able to identify GH families and functional residues. This model was developed utilizing 119 GH family protein sequences obtained from the Carbohydrate-Active enZYmes (CAZy) database. After undergoing ten-fold cross-validation, the DeepGH models exhibited a predictive accuracy of 96.73%. The utilization of gradient-weighted class activation mapping (Grad-CAM) was used to aid us in comprehending the classification features, which in turn facilitated the creation of enzyme mutants. As a result, the MECE platform was validated with the development of CHIS1754-MUT7, a mutant that boasts seven amino acid substitutions. The kcat/Km of CHIS1754-MUT7 was found to be 23.53 times greater than that of the wild type CHIS1754. Due to its high computational efficiency and low experimental cost, this method offers significant advantages and presents a novel approach for the intelligent design of enzyme catalytic efficiency. As a result, it holds great promise for a wide range of applications.

Pullulanase: unleashing the power of enzyme with a promising future in the food industry

Pullulanases are the most important industrial group of enzymes in family 13 glycosyl hydrolases. They hydrolyze either α-1,6 and α-1,4 or both glycosidic bonds in pullulan as well as other carbohydrates to produce glucose, maltose, and maltotriose syrups, which have important uses in food and other related sectors. However, very less reports are available on pullulanase production from native strains because of low yield issues. In line with the increasing demands for pullulanase, it has become important to search for novel pullulanase-producing microorganisms with high yields. Moreover, high production costs and low yield are major limitations in the industrial production of pullulanase enzymes. The production cost of pullulanase by using the solid-state fermentation (SSF) process can be minimized by selecting agro-industrial waste. This review summarizes the types, sources, production strategies, and potential applications of pullulanase in different food and other related industries. Researchers should focus on fungal strains producing pullulanase for better yield and low production costs by using agro-waste. It will prove a better enzyme in different food processing industries and will surely reduce the cost of products.

Advances in cold-adapted enzymes derived from microorganisms

Cold-adapted enzymes, produced in cold-adapted organisms, are a class of enzyme with catalytic activity at low temperatures, high temperature sensitivity, and the ability to adapt to cold stimulation. These enzymes are largely derived from animals, plants, and microorganisms in polar areas, mountains, and the deep sea. With the rapid development of modern biotechnology, cold-adapted enzymes have been implemented in human and other animal food production, the protection and restoration of environments, and fundamental biological research, among other areas. Cold-adapted enzymes derived from microorganisms have attracted much attention because of their short production cycles, high yield, and simple separation and purification, compared with cold-adapted enzymes derived from plants and animals. In this review we discuss various types of cold-adapted enzyme from cold-adapted microorganisms, along with associated applications, catalytic mechanisms, and molecular modification methods, to establish foundation for the theoretical research and application of cold-adapted enzymes.

Pullulanase with high temperature and low pH optima improved starch saccharification efficiency

Pullulanase, a starch debranching enzyme, is required for the preparation of high glucose/maltose syrup from starch. In order to expand its narrow reaction conditions and improve its application value, Bacillus naganoensis pullulanase (PulA) was mutated by site-directed mutagenesis and the biochemical characteristics of the mutants were studied. The mutant PulA-N3 with mutations at asparagine 467, 492 and 709 residues was obtained. It displayed the activity maximum at 60 °C and pH 4.5 and exceeded 90% activities between 45 and 60 °C and from pH 4.0 to pH 5.5, which was improved greatly compared with wild-type PulA. Its thermostability and acidic pH stability were also remarkably improved. Its catalytic rate (k_cat/V_max) was 2.76 times that of PulA. In the preparation of high glucose syrup, the DX (glucose content, %) values of glucose mediated by PulA-N3 and glucoamylase reached 96.08%, which were 0.82% higher than that of PulA. In conclusion, a new pullulanase mutant PulA-N3 was successfully developed, which has high debranching activity in a wide range of temperature and pH, thereby paving the way for highly efficient starch saccharification.

A Bibliometric Analysis and Review of Pullulan-Degrading Enzymes—Past and Current Trends

Starch and pullulan degrading enzymes are essential industrial biocatalysts. Pullulan-degrading enzymes are grouped into pullulanases (types I and type II) and pullulan hydrolase (types I, II and III). Generally, these enzymes hydrolyse the α-1,6 glucosidic bonds (and α-1,4 for certain enzyme groups) of substrates and form reducing sugars such as glucose, maltose, maltotriose, panose or isopanose. This review covers two main aspects: (i) bibliometric analysis of publications and patents related to pullulan-degrading enzymes and (ii) biological aspects of free and immobilised pullulan-degrading enzymes and protein engineering. The collective data suggest that most publications involved researchers within the same institution or country in the past and current practice. Multi-national interaction shall be improved, especially in tapping the enzymes from unculturable prokaryotes. While the understanding of pullulanases may reach a certain extend of saturation, the discovery of pullulan hydrolases is still limited. In this report, we suggest readers consider using the next-generation sequencing technique to fill the gaps of finding more new sequences encoding pullulan-degrading enzymes to expand the knowledge body of this topic.

Exploring the factors that affect the themostability of barley limit dextrinase - Inhibitor complex

Barley Limit dextrinase (Hordeum vulgare HvLD) is the unique endogenous starch-debranching enzyme, determining the production of a high degree of fermentation. The activity of HvLD is regulated by an endogenous LD inhibitor protein (LDI). In beer production, free LD is easy to inactivate in mashing process under the condition of high temperature. The binding of LD with LDI protects it against heat inactivation. Exploring the factors affecting the themostability of HvLD-LDI complex is important for beer production. In this work, the themostability of HvLD-LDI complex at different NaCl concentrations and temperatures were explored by molecular dynamics simulation and binding free energy calculation. In NaCl solution, the complex exhibits higher conformational stability at 343 K and 363 K than those in pure water. Root mean square fluctuation (RMSF) analysis identified the thermal sensitive regions of HvLD and LDI. The binding free energy results suggest that the LD-LDI complex is more stable in NaCl solution than those in pure water at high temperature. The residues with high contribution to the complex were identified. The structural and dynamic details will help us to understand the driving forces that lead to the themostability of HvLD-LDI complex at different temperatures and different salt concentrations, which will facilitate the optimization conditions of beer production for maintaining the thermal stability and activity of HvLD.

Microbial starch debranching enzymes: Developments and applications

Starch debranching enzymes (SDBEs) hydrolyze the α-1,6 glycosidic bonds in polysaccharides such as starch, amylopectin, pullulan and glycogen. SDBEs are also important enzymes for the preparation of sugar syrup, resistant starch and cyclodextrin. As the synergistic catalysis of SDBEs and other starch-acting hydrolases can effectively improve the raw material utilization and production efficiency during starch processing steps such as saccharification and modification, they have attracted substantial research interest in the past decades. The substrate specificities of the two major members of SDBEs, pullulanases and isoamylases, are quite different. Pullulanases generally require at least two α-1,4 linked glucose units existing on both sugar chains linked by the α-1,6 bond, while isoamylases require at least three units of α-1,4 linked glucose. SDBEs mainly belong to glycoside hydrolase (GH) family 13 and 57. Except for GH57 type II pullulanse, GH13 pullulanases and isoamylases share plenty of similarities in sequence and structure of the core catalytic domains. However, the N-terminal domains, which might be one of the determinants contributing to the substrate binding of SDBEs, are distinct in different enzymes. In order to overcome the current defects of SDBEs in catalytic efficiency, thermostability and expression level, great efforts have been made to develop effective enzyme engineering and fermentation strategies. Herein, the diverse biochemical properties and distinct features in the sequence and structure of pullulanase and isoamylase from different sources are summarized. Up-to-date developments in the enzyme engineering, heterologous production and industrial applications of SDBEs is also reviewed. Finally, research perspective which could help understanding and broadening the applications of SDBEs are provided.

Biotechnology and bioengineering of pullulanase: state of the art and perspectives

Pullulanase (EC 3.2.1.41) is a starch-debranching enzyme in the α-amylase family and specifically cleaves α-1,6-glycosidic linkages in starch-type polysaccharides, such as pullulan, β-limited dextrin, glycogen, and amylopectin. It plays a key role in debranching and hydrolyzing starch completely, thus bring improved product quality, increased productivity, and reduced production cost in producing resistant starch, sugar syrup, and beer. Plenty of researches have been made with respects to the discovery of either thermophilic or mesophilic pullulanases, however, few examples meet the demand of industrial application. This review presents the progress made in the recent years from the first aspect of characteristics of pullulanases. The heterologous expression of pullulanases in different microbial hosts and the methods used to improve the expression effectiveness and the regulation of enzyme production are also described. Then, the function evolution of pullulanases from a protein engineering view is discussed. In addition, the immobilization strategy using novel materials is introduced to improve the recyclability of pullulanases. At the same time, we indicate the trends in the future research to facilitate the industrial application of pullulanases.

Improving the thermostability of trehalose synthase from Thermomonospora curvata by covalent cyclization using peptide tags and investigation of the underlying molecular mechanism

One of the most desirable properties for industrial enzymes is high thermotolerance, which can reduce the amount of biocatalyst used and lower the production cost. Aiming to improve the thermotolerance of trehalose synthase (TreS, EC 5.4.99.16) from Thermomonospora curvata, four mutants (G78D, V289L, G322A, I323L) and four cyclized TreS variants fused using different Tag/Catcher pairs (SpyTag-TreS-SpyCatcher, SpyTag-TreS-KTag, SnoopTag-TreS-SnoopCatcher, SnoopTagJR-TreS-DogTag) were constructed. The results showed that cyclization led to a much larger increase of thermostability than that achieved via site-directed mutagenesis. The t_1/2 of all four cyclized TreS variants at 55 °C increased 2- to 3- fold, while the analysis of kinetic and thermodynamic stability indicated that the T₅₀ of the different cyclized TreS variants increased by between 7.5 °C and 15.5 °C. Molecular dynamics simulations showed that the Rg values of cyclized TreS decreased significantly, indicating that the protein maintained a tight tertiary structure at high temperatures, avoiding exposure of the hydrophobic core to the solvent. Cyclization using a Tag/Catcher pair is a simple and effective method for improving the thermotolerance of enzymes.

Identification of a chitosanase from the marine metagenome and its molecular improvement based on evolution data

Chitooligosaccharides have important application value in the fields of food and agriculture. Chitosanase can degrade chitosan to obtain chitooligosaccharides. The marine metagenome contains many genes related to the degradation of chitosan. However, it is difficult to mine valuable genes from large gene resources. This study proposes a method to screen chitosanases directly from the marine metagenome. Chitosanase gene chis1754 was identified from the metagenome and heterologously expressed in Escherichia coli. The optimal temperature and pH of CHIS1754 were 55 °C and 5.5, respectively. A mutant, CHIS1754T, with 15 single point mutations designed based on molecular evolution data was also expressed in E. coli. The results indicated that the thermal stability of CHIS1754T was significantly improved, as the T_m showed an increase of ~ 7.63 °C. Additionally, the k_cat/K_m of CHIS1754T was 4.8-fold higher than that of the wild type. This research provides new theories and foundations for the excavation, modification, and industrial application of chitosanases. KEY POINTS: A chitosanase gene, chis1754, was firstly identified from marine metagenome. A multi-site mutant was designed to improve enzyme stability and activity. The k_cat/K_mof the designed mutant was 4.8-fold higher than that of the wild type.

Understanding Thermostability Factors of Barley Limit Dextrinase by Molecular Dynamics Simulations

Limit dextrinase (LD) is the only endogenous starch-debranching enzyme in barley (Hordeum vulgare, Hv), which is the key factor affecting the production of a high degree of fermentation. Free LD will lose its activity in the mashing process at high temperature in beer production. However, there remains a lack of understanding on the factor affecting the themostability of HvLD at the atomic level. In this work, the molecular dynamics simulations were carried out for HvLD to explore the key factors affecting the thermal stability of LD. The higher value of root mean square deviation (RMSD), radius of gyration (R_g), and surface accessibility (SASA) suggests the instability of HvLD at high temperatures. Intra-protein hydrogen bonds and hydrogen bonds between protein and water decrease at high temperature. Long-lived hydrogen bonds, salt bridges, and hydrophobic contacts are lost at high temperature. The salt bridge interaction analysis suggests that these salt bridges are important for the thermostability of HvLD, including E568–R875, D317–R378, D803–R884, D457–R214, D468–R395, D456–R452, D399–R471, and D541–R542. Root mean square fluctuation (RMSF) analysis identified the thermal-sensitive regions of HvLD, which will facilitate enzyme engineering of HvLD for enhanced themostability.

Genetically Modified Micro-Organisms for Industrial Food Enzyme Production: An Overview

The use of food enzymes (FE) by the industrial food industry is continuously increasing. These FE are mainly obtained by microbial fermentation, for which both wild-type (WT) and genetically modified (GM) strains are used. The FE production yield can be increased by optimizing the fermentation process, either by using genetically modified micro-organism (GMM) strains or by producing recombinant enzymes. This review provides a general overview of the different methods used to produce FE preparations and how the use of GMM can increase the production yield. Additionally, information regarding the construction of these GMM strains is provided. Thereafter, an overview of the different European regulations concerning the authorization of FE preparations on the European market and the use of GMM strains is given. Potential issues related to the authorization and control of FE preparations sold on the European market are then identified and illustrated by a case study. This process highlighted the importance for control of FE preparations and the consequent need for appropriate detection methods targeting the presence of GMM, which is used in fermentation products.

Evolutionary coupling saturation mutagenesis: Coevolution-guided identification of distant sites influencing Bacillus naganoensis pullulanase activity

Pullulanases are well-known debranching enzymes hydrolyzing α-1,6-glycosidic linkages. To date, engineering of pullulanase is mainly focused on catalytic pocket or domain tailoring based on structure/sequence information. Saturation mutagenesis-involved directed evolution is, however, limited by the low number of mutational sites compatible with combinatorial libraries of feasible size. Using Bacillus naganoensis pullulanase as a target protein, here we introduce the 'evolutionary coupling saturation mutagenesis' (ECSM) approach: residue pair covariances are calculated to identify residues for saturation mutagenesis, focusing directed evolution on residue pairs playing important roles in natural evolution. Evolutionary coupling (EC) analysis identified seven residue pairs as evolutionary mutational hotspots. Subsequent saturation mutagenesis yielded variants with enhanced catalytic activity. The functional pairs apparently represent distant sites affecting enzyme activity.

Disulfide Bond Engineering of an Endoglucanase from Penicillium verruculosum to Improve Its Thermostability

Endoglucanases (EGLs) are important components of multienzyme cocktails used in the production of a wide variety of fine and bulk chemicals from lignocellulosic feedstocks. However, a low thermostability and the loss of catalytic performance of EGLs at industrially required temperatures limit their commercial applications. A structure-based disulfide bond (DSB) engineering was carried out in order to improve the thermostability of EGLII from Penicillium verruculosum. Based on in silico prediction, two improved enzyme variants, S127C-A165C (DSB2) and Y171C-L201C (DSB3), were obtained. Both engineered enzymes displayed a 15⁻21% increase in specific activity against carboxymethylcellulose and β-glucan compared to the wild-type EGLII (EGLII-wt). After incubation at 70 °C for 2 h, they retained 52⁻58% of their activity, while EGLII-wt retained only 38% of its activity. At 80 °C, the enzyme-engineered forms retained 15⁻22% of their activity after 2 h, whereas EGLII-wt was completely inactivated after the same incubation time. Molecular dynamics simulations revealed that the introduced DSB rigidified a global structure of DSB2 and DSB3 variants, thus enhancing their thermostability. In conclusion, this work provides an insight into DSB protein engineering as a potential rational design strategy that might be applicable for improving the stability of other enzymes for industrial applications.

Improvement of the Activity and Stability of Starch-Debranching Pullulanase from Bacillus naganoensis via Tailoring of the Active Sites Lining the Catalytic Pocket

Pullulanases are well-known debranching enzymes that hydrolyze α-1,6-glycosidic linkages in starch and oligosaccharides. However, most of the pullulanases exhibit limited activity for practical applications. Here, two sites (787 and 621) lining the catalytic pocket of Bacillus naganoensis pullulanase were identified as being critical for enzymatic activity by triple-code saturation mutagenesis. Subsequently, both sites were subjected to NNK-based saturation mutagenesis to obtain positive variants. Among the variants showing enhanced activity, the enzymatic activity and specific activity of D787C were 1.5-fold higher than those of the wild-type (WT). D787C also showed a 1.8-fold increase in k_cat and a 1.7-fold increase in k_cat/ K_m. In addition, D787C maintained higher activity compared with that of WT at temperatures over 60 °C. All the positive variants showed higher acid resistance, with D787C maintaining 90% residual activity at pH 4.0. Thus, enzymes with improved properties were obtained by saturation mutagenesis at the active site.