Highly Efficient Computationally Derived Novel Metagenome α-Amylase With Robust Stability Under Extreme Denaturing Conditions

Enhanced solubility, bioaccessibility, and antioxidant activity of curcumin via lipase complexation: Structural insights and stability assessment

Curcumin, a bioactive compound with diverse therapeutic properties, faces challenges in clinical applications owing to its limited solubility and poor bioaccessibility. This study proposes a novel strategy to enhance the aqueous solubility, bioaccessibility, and antioxidant potential of curcumin by complexation with lipase (PersiLip1). The optimal condition for complex formation was determined to be pH 7.0, resulting in a 90-fold increase in solubility, reaching 96.92 %. Antioxidant activity assays (ABTS and DPPH) revealed significant radical scavenging capacity. Structural characterization, including Scanning Electron Microscopy (SEM), Fourier-Transform Infrared Spectroscopy (FTIR), and X-Ray Diffraction (XRD), indicated a notable transformation of curcumin from its crystalline to amorphous state. Atomic Force Microscopy (AFM) confirmed the formation of larger, stable molecular assemblies, with a particle size increase from 4.68 nm (free curcumin) to 121 nm (Cur-Lip complex). Dynamic Light Scattering (DLS) analysis revealed a further increase in the particle size to 3214.10 nm, coupled with a reduced Polydispersity Index (PDI) of 0.23, suggesting enhanced homogeneity. Zeta potential analysis showed a reduction in surface charge. Storage stability assessments confirmed the sustained solubility of the Cur-Lip complex for over 30 days. These findings highlight lipase-assisted complexation as an effective strategy for enhancing the therapeutic potential of curcumin.

Carboxylated nanocellulose from quinoa husk for enhanced protease immobilization and stability of protease in biotechnological applications

Herein, an efficient and feasible approach was developed to oxidize low-cost agricultural waste (quinoa husk, QS) for the synthesis of carboxylated nanocellulose (CNC). The as-prepared rod-like CNCs (average diameter of 10 nm and length of 103 nm) with a high specific surface area (173 m2/g) were utilized for the immobilization of a model protease enzyme (PersiProtease1) either physically or via covalent attachment. For chemical immobilization, CNCs were firstly functionalized with N, N'-dicyclohexylcarbodiimide (DCC) to provide DCNCs nanocarrier which could covalently bond to enzyme trough nucleophilic substitution reaction and formation of the amide bond between DCNCs and enzyme. The immobilization efficiency, activity, stability, kinetic parameters, and reusability of covalently attached and physically immobilized PersiProtease1 were similar to those of the free enzyme. Enzyme immobilization resulted in higher thermal stability of the enzyme at elevated temperatures (> 80 °C), and the covalently immobilized enzyme displayed higher reusability than its physically immobilized form (56% vs. 37% activity, after 15 consecutive cycles), which would be rooted in a more tightly attached and less leached enzyme in the case of PersiProtease1/DCNCs. This study demonstrates the significance of using agricultural by-products and the enhanced performance and stability of immobilized proteases.

Metagenomic approaches in bioremediation of environmental pollutants

Metagenomics has emerged as a pivotal tool in bioremediation, providing a deeper understanding of the structure and function of the microbial communities involved in pollutant degradation. By circumventing the limitations of traditional culture-based methods, metagenomics enables comprehensive analysis of microbial ecosystems and facilitates the identification of new genes and metabolic pathways that are critical for bioremediation. Advanced sequencing technologies combined with computational and bioinformatics approaches have greatly enhanced our ability to detect sources of pollution and monitor dynamic changes in microbial communities during the bioremediation process. These tools enable the precise identification of key microbial players and their functional roles, and provide a deeper understanding of complex biodegradation networks. The integration of artificial intelligence (AI) with machine learning algorithms has accelerated the process of discovery of novel genes associated with bioremediation and has optimized metabolic pathway prediction. Novel strategies, including sequencing techniques and AI-assisted analysis, have the potential to revolutionize bioremediation by enabling the development of highly efficient, targeted, and sustainable remediation strategies for various contaminated environments. However, the complexity of microbial interactions, data interpretation, and high cost of these advanced technologies remain challenging. Future research should focus on improving computational tools, reducing costs, and integrating multidisciplinary approaches to overcome these limitations.

Production of an amylase from newly Bacillus strain: Optimization by response-surface methodology, characterization and application with a fungal lipase in bread making

Using the statistical approaches, the optimization of amylase production by a newly Bacillus strain was achieved. Keeping the insignificant factor at lower levels and following the optimized condition (inoculum size 0.3; 19 h of incubation; 18 g L-1 of starch; 4 g L-1 of MgSO4; and 15 g L-1 NaCl) the amylase activity has reached 18.48 ± 0.42 U mL-1 with an improvement factor of 6.48-fold-times. The properties of the crude amylase, tentatively named AmySBM, were examined, revealing an optimal activity at 60 °C and pH 7. The enzyme demonstrated good stability across a wide temperature range (40-60 °C) and pH levels (6-7). Its activity depended on the presence of Ca2+. Additionally, it was discovered that maltose was the sole product of starch hydrolysis by AmySBM, an encouraging result for introducing it into bread making. Tests on dough properties with varied amylase amounts revealed that 0.06 U g-1 was ideal, with white flour producing the greatest results. Incorporating Rhizopus oryzae lipase at 1.2 U g-1 dramatically increased bread quality. Finally, combining an enzymatic cocktail of AmySBM and lipase at optimal quantities improved the qualities of white bread, demonstrating its potential as an anti-staling agent to replace conventional improvers in the baking industry.

Combined effects of α-amylase, xylanase, and cellulase coproduced by Stachybotrys microspora on dough properties and bread quality as a bread improver

This study aims to explore the feasibility of introducing, during the manufacture of bakery bread, an enzymatic cocktail coproduced by the fungus Stachybotrys microspora: α-amylases, xylanases and cellulases, using wheat bran as a nutrient source. Among the characteristics of the alveograph (dough tenacity "P" and dough extensibility "L"), the addition of a cocktail of enzymes at a concentration of 2 %, to weak wheat flour, has made it possible to significantly reduce its P/L ratio from 2.45 to 1.41. Furthermore, the use of enzyme cocktails at 2 %, 4 %, and 6 % concentrations increases the brown color of the bread crust. The great reduction in the rate of bread firmness, during storage over 5 days, was obtained in the presence of an enzyme cocktail in comparison with bread control (65.13 N for the control and 22.99 N, 23.24 N, and 18.24 N for bread enriched with enzyme cocktail at 2 %, 4 % and 6 % concentrations, respectively). In conclusion, the enzyme cocktail added can synergistically improve bread dough rheology and bread properties.

Chitosan decorated magnetic nanobiocatalyst of Bacillus derived α-amylase as a role model for starchy wastewater treatment, detergent additive and textile desizer

In this study, Bacillus tequilensis TB5 α-amylase from rice-milled by-products (rice bran and de-oiled rice bran) was successfully immobilized onto biologically synthesized magnetic nanoparticles fabricated with chitosan (MNP-Ch) and characterized via different biophysical techniques. Furthermore, the study emphasized incorporating this nanostructure framework (MNP@2mgchitosan_DORB-amy and MNP@3mgchitosan_RB-amy) to offer diverse applications, including enzymatic desizing, cleaning starchy stains, and treating synthetic starchy wastewater. An enzyme loading of > 90 % for both enzymes indicated increased binding sites due to the functional moieties of chitosan on the MNP. The Km was 0.28 and 0.31 mg/mL for the immobilized and free forms of DORB-amy, respectively, and 0.18 and 0.27 mg/mL for the immobilized and free forms of RB-amy, respectively. A low Km indicated an increased affinity of MNP-Ch-immobilized forms of enzymes toward the substrate. The performance of both immobilized enzymes improved at a wide range of pH and temperature, which may be attributed to the covalent binding of the enzyme on to the MNP-Ch. The nanobiocatalysts in the detergent act synergistically to fade the starchy stains. Furthermore, an 8-9 TEGEWA scale rating with > 11 % of starch removal was obtained through the biodesizing of starch-sized cotton fabric. The nanobiocatalyst efficiently decomposed starch and liberated 650-670 mg/L of reducing sugar from the synthetic wastewater, therefore offering promising opportunities for its exploration in a wastewater treatment plant. Thus, the study recommends the potential exploration of sturdy matrices like MNP to offer remarkable applications with maximum operational stability, easier recovery, and higher efficiency.

Two newly established and mutually related subfamilies GH13_48 and GH13_49 of the α-amylase family GH13

Currently, the main α-amylase family GH13 has been divided into 47 subfamilies in CAZy, with new subfamilies regularly emerging. The present in silico study was performed to highlight the groups, represented by the maltogenic amylase from Thermotoga neapolitana and the α-amylase from Haloarcula japonica, which are worth of creating their own new GH13 subfamilies. This enlarges functional annotation and thus allows more precise prediction of the function of putative proteins. Interestingly, those two share certain sequence features, e.g. the highly conserved cysteine in the second conserved sequence region (CSR-II) directly preceding the catalytic nucleophile, or the well-preserved GQ character of the end of CSR-VII. On the other hand, the two groups bear also specific and highly conserved positions that distinguish them not only from each other but also from representatives of remaining GH13 subfamilies established so far. For the T. neapolitana maltogenic amylase group, it is the stretch of residues at the end of CSR-V highly conserved as L-[DN]. The H. japonica α-amylase group can be characterized by a highly conserved [WY]-[GA] sequence at the end of CSR-II. Other specific sequence features include an almost fully conserved aspartic acid located directly preceding the general acid/base in CSR-III or well-preserved glutamic acid in CSR-IV. The assumption that these two groups represent two mutually related, but simultaneously independent GH13 subfamilies has been supported by phylogenetic analysis as well as by comparison of tertiary structures. The main α-amylase family GH13 has thus been expanded by two novel subfamilies GH13_48 and GH13_49. KEY POINTS: • In silico analysis of two groups of family GH13 members with characterized representatives • Identification of certain common, but also some specific sequence features in seven CSRs • Creation of two novel subfamilies-GH13_48 and GH13_49 within the CAZy database.

Potential utility of bacterial protein nanoreactor for sustainable in-situ biocatalysis in wide range of bioprocess conditions

Bacterial microcompartments (MCPs) are proteinaceous organelles that natively encapsulates the enzymes, substrates, and cofactors within a protein shell. They optimize the reaction rates by enriching the substrate in the vicinity of enzymes to increase the yields of the product and mitigate the outward diffusion of the toxic or volatile intermediates. The shell protein subunits of MCP shell are selectively permeable and have specialized pores for the selective inward diffusion of substrates and products release. Given their attributes, MCPs have been recently explored as potential candidates as subcellular nano-bioreactor for the enhanced production of industrially important molecules by exercising pathway encapsulation. In the current study, MCPs have been shown to sustain enzyme activity for extended periods, emphasizing their durability against a range of physical challenges such as temperature, pH and organic solvents. The significance of an intact shell in conferring maximum protection is highlighted by analyzing the differences in enzyme activities inside the intact and broken shell. Moreover, a minimal synthetic shell was designed with recruitment of a heterologous enzyme cargo to demonstrate the improved durability of the enzyme. The encapsulated enzyme was shown to be more stable than its free counterpart under the aforementioned conditions. Bacterial MCP-mediated encapsulation can serve as a potential strategy to shield the enzymes used under extreme conditions by maintaining the internal microenvironment and enhancing their cycle life, thereby opening new means for stabilizing, and reutilizing the enzymes in several bioprocess industries.

Precision enzyme discovery through targeted mining of metagenomic data

Metagenomics has opened new avenues for exploring the genetic potential of uncultured microorganisms, which may serve as promising sources of enzymes and natural products for industrial applications. Identifying enzymes with improved catalytic properties from the vast amount of available metagenomic data poses a significant challenge that demands the development of novel computational and functional screening tools. The catalytic properties of all enzymes are primarily dictated by their structures, which are predominantly determined by their amino acid sequences. However, this aspect has not been fully considered in the enzyme bioprospecting processes. With the accumulating number of available enzyme sequences and the increasing demand for discovering novel biocatalysts, structural and functional modeling can be employed to identify potential enzymes with novel catalytic properties. Recent efforts to discover new polysaccharide-degrading enzymes from rumen metagenome data using homology-based searches and machine learning-based models have shown significant promise. Here, we will explore various computational approaches that can be employed to screen and shortlist metagenome-derived enzymes as potential biocatalyst candidates, in conjunction with the wet lab analytical methods traditionally used for enzyme characterization.

Biovalorizing agro-waste 'de-oiled rice bran' for thermostable, alkalophilic and detergent stable α-amylase production with its application as laundry detergent additive and textile desizer

The current research was concerned with the use of abundant agro-waste 'de-oiled rice bran (DORB)' as a sustainable substrate to produce α-amylase followed by several targets like process parameter optimization for augmented production and immobilization. In addition, we have also focused on investigating the application of DORB_amy as an efficient laundry detergent additive and textile desizer. The best production was recorded at pH 8.0 at 37 °C after 96 h incubation with 1.5 % (w/v) maltose. The DORB_amy has optimum activity at pH 9.0 at 60 °C with a Km and Vmax of 0.31 mg/mL and 222.22 mg/mL/min respectively. The catalytic performance of DORB_amy was further enhanced after immobilization in 3.0 % calcium alginate beads with 61.95 ± 0.17 % of operational stability after five continuous reaction cycles. The findings showed excellent performance of DORB_amy in cleaning starchy stains. The washing performance of enzyme and detergent together was better than their individual performance which increases the application of α-amylase as a laundry detergent additive. About 17.34 % weight loss or desizing was done by DORB_amy with an 8-9 TEGEWA rating. The reported biochemical features like thermostability, alkalophilic and detergent-stable nature of the DORB_amy make it industrially fit with great significance.

An Accessible Method to Improve the Stability and Reusability of Porcine Pancreatic α-Amylase via Immobilization in Gellan-Based Hydrogel Particles Obtained by Ionic Cross-Linking with Mg2+ Ions

Amylase is an enzyme used to hydrolyze starch in order to obtain different products that are mainly used in the food industry. The results reported in this article refer to the immobilization of α-amylase in gellan hydrogel particles ionically cross-linked with Mg2+ ions. The obtained hydrogel particles were characterized physicochemically and morphologically. Their enzymatic activity was tested using starch as a substrate in several hydrolytic cycles. The results showed that the properties of the particles are influenced by the degree of cross-linking and the amount of immobilized α-amylase enzyme. The temperature and pH at which the immobilized enzyme activity is maximum were T = 60 °C and pH = 5.6. The enzymatic activity and affinity of the enzyme to the substrate depend on the particle type, and this decreases for particles with a higher cross-linking degree owing to the slow diffusion of the enzyme molecules inside the polymer's network. By immobilization, α-amylase is protected from environmental factors, and the obtained particles can be quickly recovered from the hydrolysis medium, thus being able to be reused in repeated hydrolytic cycles (at least 11 cycles) without a substantial decrease in enzymatic activity. Moreover, α-amylase immobilized in gellan particles can be reactivated via treatment with a more acidic medium.

Lignocellulose degradation by rumen bacterial communities: New insights from metagenome analyses

Ruminant animals house a dense and diverse community of microorganisms in their rumen, an enlarged compartment in their stomach, which provides a supportive environment for the storage and microbial fermentation of ingested feeds dominated by plant materials. The rumen microbiota has acquired diverse and functionally overlapped enzymes for the degradation of plant cell wall polysaccharides. In rumen Bacteroidetes, enzymes involved in degradation are clustered into polysaccharide utilization loci to facilitate coordinated expression when target polysaccharides are available. Firmicutes use free enzymes and cellulosomes to degrade the polysaccharides. Fibrobacters either aggregate lignocellulose-degrading enzymes on their cell surface or release them into the extracellular medium in membrane vesicles, a mechanism that has proven extremely effective in the breakdown of recalcitrant cellulose. Based on current metagenomic analyses, rumen Bacteroidetes and Firmicutes are categorized as generalist microbes that can degrade a wide range of polysaccharides, while other members adapted toward specific polysaccharides. Particularly, there is ample evidence that Verrucomicrobia and Spirochaetes have evolved enzyme systems for the breakdown of complex polysaccharides such as xyloglucans, peptidoglycans, and pectin. It is concluded that diversity in degradation mechanisms is required to ensure that every component in feeds is efficiently degraded, which is key to harvesting maximum energy by host animals.

Efficiency of an alkaline, thermostable, detergent compatible, and organic solvent tolerant lipase with hydrolytic potential in biotreatment of wastewater

Discharging the tannery wastewater into the environment is a serious challenge worldwide due to the release of severe recalcitrant pollutants such as oil compounds and organic materials. The biological treatment through enzymatic hydrolysis is a cheap and eco-friendly method for eliminating fatty substances from wastewater. In this context, lipases can be utilized for bio-treatment of wastewater in multifaceted industrial applications. To overcome the limitations in removing pollutants in the effluent, we aimed to identify a novel robust stable lipase (PersiLipase1) from metagenomic data of tannery wastewater for effective bio-degradation of the oily wastewater pollution. The lipase displayed remarkable thermostability and maintained over 81 % of its activity at 60 °C.After prolonged incubation for 35 days at 60°C, the PersiLipase1 still maintained 53.9 % of its activity. The enzyme also retained over 67 % of its activity in a wide range of pH (4.0 to 9.0). In addition, PersiLipase1 demonstrated considerable tolerance toward metal ions and organic solvents (e.g., retaining >70% activity after the addition of 100 mM of chemicals). Hydrolysis of olive oil and sheep fat by this enzyme showed 100 % efficiency. Furthermore, the PersiLipase1 proved to be efficient for biotreatment of oil and grease from tannery wastewater with the hydrolysis efficiency of 90.76 % ± 0.88. These results demonstrated that the metagenome-derived PersiLipase1 from tannery wastewater has a promising potential for the biodegradation and management of oily wastewater pollution.