Rational design for thermostability improvement of a novel PL-31 family alginate lyase from Paenibacillus sp. YN15.

Currently, alginate oligosaccharides (AOS) become attractive due to their excellent physiological effects. AOS has been widely used in food, pharmaceutical, and cosmetic industries. Generally, AOS can be produced from alginate using alginate lyase (ALyase) as the biocatalyst. However, most ALyase display poor thermostability. In this study, a thermostable ALyase from Paenibacillus sp. YN15 (Payn ALyase) was characterized. It belonged to the polysaccharide lyase (PL) 31 family and displayed poly ß-D-mannuronate (Poly M) preference. Under the optimum condition (pH 8.0, 55 °C, 50 mM NaCl), it exhibited maximum activity of 90.3 U/mg and efficiently degraded alginate into monosaccharides and AOS with polymerization (DP) of 2-4. Payn ALyase was relatively stable at 55 °C, but the thermostability dropped rapidly at higher temperatures. To further improve its thermostability, rational design mutagenesis was carried out based on a combination of FireProt, Consensus Finder, and PROSS analysis. Finally, a triple-point mutant K71P/Y129G/S213G was constructed. The optimum temperature was increased from 55 to 70 °C, and the Tm was increased from 62.7 to 64.1 °C. The residual activity after 30 min incubation at 65 °C was enhanced from 36.0 % to 83.3 %. This study provided a promising ALyase mutant for AOS industrial production.

Identification and Thermostability Modification of the Mesophilic L-asparaginase from Limosilactobacillus secaliphilus.

L-asparaginase (L-ASNase, E.C.3.5.1.1) could effectively inhibit the formation of acrylamide (AA) by hydrolyzing the AA precursor L-asparagine. However, most of the L-ASNases showed a relatively weak thermostability, posing a big threat on the application of enzyme at high processing temperatures. Here, the recombinant L-ASNase from mesophilic bacteria Limosilactobacillus secaliphilus was identified for the first time. The recombinant enzyme exhibited its optimal activity at pH 8.0 and 60 ℃. Additionally, the thermostability of L. secaliphilus L-ASNase was enhanced by site-directed mutagenesis after multiple sequence alignment. Ten mutants were reasonably constructed, among which the single-point mutants L24Y, S55T, and V155S showed more than 1 ℃ elevated Tm value compared to the wild-type enzyme. In addition, the half-life of mutant at 40, 50, and 55 ℃ was 376.7 min, 62.1 min, and 18.7 min, much higher than that of wild-type enzyme. The molecular dynamic simulation showed that compared to the wild-type enzyme, the structural stability of V155S was greatly strengthened due to the lower RMSF and RMSD value as well as a decreased total energy compared to that of the wild-type enzyme. The results were positive and provided some useful information for the thermostability modification of L-ASNase.

Blended cumin/Zanthoxylum essential oil improve the antibacterial, fresh-keeping performance and flavor of chilled fresh mutton.

Microbial pollution and fat oxidation are the main factors that induce the deterioration in the quality of chilled fresh mutton. This study evaluated the effects of cumin (Cuminum cyminum) essential oil (CEO), Zanthoxylum essential oil (ZEO), and blended cumin/zanthoxylum essential oil (BEO) on the antibacterial, preservation of freshness, and flavor improvement of chilled fresh mutton. The results show that BEO exerts a good inhibition effect on microbial growth, lipid oxidation, and the formation of TVB-N, as well as slowing down the rate of juice loss under chilled conditions. GC-IMS assay results showed that BEO can enrich the flavor of roasted mutton with a higher level of volatile organic substances, such as ethyl acetate D. In conclusion, BEO treatments were more efficient than single treatments in ensuring the quality of lamb to improve microbiological safety and improve the flavor of roasted lamb stored under chilled conditions. Overall research indicates that BEO is an effective natural addition that can be used to preserve the quality and safety of chilled fresh mutton during storage.

Characterization of a thermostable PL-31 family alginate lyase from Paenibacillus ehimensis and its application for alginate oligosaccharides bioproduction.

Currently, people pay more attention to marine sugars, because of their unique physiological effects. Alginate oligosaccharides (AOS) are the degradation products of alginate and have been used in food, cosmetic, and medicine fields. AOS display good physical characteristics (low relative molecular weight, good solubility, high safety, and high stability) and excellent physiological functions (immunomodulatory, antioxidant, antidiabetic, and prebiotic activities). Alginate lyase plays a key role in the AOS bioproduction. In this study, a novel PL-31 family alginate lyase from Paenibacillus ehimensis (paeh-aly) was identified and characterized. It was extracellularly secreted in E. coli and exhibited a preference for the substrate poly ß-D-mannuronate. Using sodium alginate as the substrate, it showed the maximum catalytic activity (125.7 U/mg) at pH 7.5 and 55 °C with 50 mM NaCl. Compared with other alginate lyases, paeh-aly exhibited good stability. About 86.6% and 61.0% residual activity could be maintained after 5 h incubation at 50 and 55 °C respectively, and its Tm value was 61.5 °C. The degradation products were AOS with DP 2-4. Paeh-aly demonstrated strong promise for AOS industrial production because of its excellent thermostability and efficiency.

Low-calorie bulk sweeteners: Recent advances in physical benefits, applications, and bioproduction.

At present, with the continuous improvement of living standards, people are paying increasing attention to dietary nutrition and health. Low sugar and low energy consumption have become important dietary trends. In terms of sugar control, more and more countries have implemented sugar taxes in recent years. Hence, as the substitute for sugar, low-calorie sweeteners have been widely used in beverage, bakery, and confectionary industries. In general, low-calorie sweeteners consist of high-intensity and low-calorie bulk sweeteners (some rare sugars and sugar alcohols). In this review, recent advances and challenges in low-calorie bulk sweeteners are explored. Bioproduction of low-calorie bulk sweeteners has become the focus of many researches, because it has the potential to replace the current industrial scale production through chemical synthesis. A comprehensive summary of the physicochemical properties, physiological functions, applications, bioproduction, and regulation of typical low-calorie bulk sweeteners, such as D-allulose, D-tagatose, D-mannitol, sorbitol, and erythritol, is provided.

Raw walnut kernel: A natural source for dietary proteases and bioactive proteins.

Walnut kernels are health-promoting nuts, which are mainly attributed to polyunsaturated fatty acids, phenolics, and phytosterols. However, the information concerning benefits of walnut proteins are limited. In this study, endopeptidases, aminopeptidases, carboxypeptidases, superoxide dismutases, catalases, and phospholipases with respective relative abundance of 2.730, 1.728, 0.477, 3.148, 0.743, and 0.173‰ were identified by liquid chromatography tandem mass spectrometry. These endogenous proteases exhibited activity in a broad pH range of 2-6.5, and optimal at pH 4.5 and 50 °C. Aspartic endopeptidases were predominant endopeptidases, followed by cysteine ones. There were two types of aspartic endopeptidases, one (not inhibited by pepstatin A) exerted activity at pH 2-3 and the other (inhibited by pepstatin A) optimal at pH 4.5. Carboxypeptidases were optimal at pH 4.5, and aminopeptidases exerted activity at pH near 6.5. These endogenous proteases assisted the digestion of walnut proteins, and soaking, especially peeling, greatly improved the in vitro digestibility.

Network Together: Node Classification via Cross-Network Deep Network Embedding.

Network embedding is a highly effective method to learn low-dimensional node vector representations with original network structures being well preserved. However, existing network embedding algorithms are mostly developed for a single network, which fails to learn generalized feature representations across different networks. In this article, we study a cross-network node classification problem, which aims at leveraging the abundant labeled information from a source network to help classify the unlabeled nodes in a target network. To succeed in such a task, transferable features should be learned for nodes across different networks. To this end, a novel cross-network deep network embedding (CDNE) model is proposed to incorporate domain adaptation into deep network embedding in order to learn label-discriminative and network-invariant node vector representations. On the one hand, CDNE leverages network structures to capture the proximities between nodes within a network, by mapping more strongly connected nodes to have more similar latent vector representations. On the other hand, node attributes and labels are leveraged to capture the proximities between nodes across different networks by making the same labeled nodes across networks have aligned latent vector representations. Extensive experiments have been conducted, demonstrating that the proposed CDNE model significantly outperforms the state-of-the-art network embedding algorithms in cross-network node classification.

An overview of levan-degrading enzyme from microbes.

Functional carbohydrates are ideal substitutes for table sugar and make up a large share of the worldwide functional food market because of their numerous physiological benefits. Growing attention has been focused on levan, a ß-(2,6) fructan that possesses more favorable physicochemical properties, such as lower intrinsic viscosity and greater colloidal stability, than ß-(2,1) inulin. Levan can be used not only as a functional carbohydrate but also as feedstock for the production of levan-type fructooligosaccharides (L-FOSs). Three types of levan-degrading enzymes (LDEs), including levanase (EC 3.2.1.65), ß-(2,6)-fructan 6-levanbiohydrolase (LF2ase, EC 3.2.1.64), and levan fructotransferase (LFTase, EC 4.2.2.16), play significant roles in the biological production of L-FOSs. These three enzymes convert levan into different L-FOSs, levanbiose, and difructose anhydride IV (DFA IV), respectively. The prebiotic properties of both L-FOSs and DFA IV have been confirmed in recent years. Although levanase, LF2ase, and LFTase belong to the same O-glycoside hydrolase 32 family (GH32), their catalytic properties and product spectra differ significantly. In this paper, recent studies on these LDEs are reviewed, including those investigating microbial source and catalytic properties. Additionally, comparisons of LDEs, including those of their differing cleavage behavior and applications for different L-FOSs, are presented in detail.