A novel thermostable β-glucosidase (Te-BglA) from Thermoanaerobacter ethanolicus JW200 was cloned, characterized and compared for its activity against isoflavone glycosides with two β-glucosidases (Tm-BglA, Tm-BglB) from Thermotoga maritima. Te-BglA exhibited maximum hydrolytic activity toward pNP-β-d-glucopyranoside (pNPG) at 80 °C and pH 7.0, was stable for a pH range of 4.6-7.8 and at 65 °C for 3 h, and had the lowest K(m) for the natural glycoside salicin and the highest relative substrate specificity (k(cat)/K(m))((salicin))/(k(cat)/K(m))((pNPG)) among the three enzymes. It converted isoflavone glycosides, including malonyl glycosides, in soybean flour to their aglycons more efficiently than Tm-BglA and Tm-BglB. After 3 h of incubation at 65 °C, Te-BglA produced complete hydrolysis of four isoflavone glycosides (namely, daidzin, genistin and their malonylated forms), exhibiting higher productivity of genistein and daidzein than the other two β-glucosidases. Our results suggest that Te-BglA is preferable to Tm-BglA and Tm-BglB, but all three enzymes have great potential applications in converting isoflavone glycosides into their aglycons.

A recombinant Thermotoga maritima beta-glucosidase A (BglA) was purified to homogeneity for performing enzymatic hydrolysis of isoflavone glycosides from soy flour. The kinetic properties K(m), k(cat), and k(cat)/K(m) of BglA towards isoflavone glycosides, determined using high-performance liquid chromatography, confirmed the higher efficiency of BglA in hydrolyzing malonylglycosides than non-conjugated glycosides (daidzin and genistin). During hydrolysis of soy flour by BglA at 80 degrees C, the isoflavone glycosides (soluble form) were extracted from soy flour (solid state) into the solution (liquid state) in thermal condition and converted to their aglycones (insoluble form), which mostly existed in the pellet to be separated from BglA in the reaction solution. The enzymatic hydrolysis in one-step and two-step approaches yielded 0.38 and 0.35 mg genistein and daidzein per gram of soy flour, respectively. The optimum conditions for conversion of isoflavone aglycones were 100 U per gram of soy flour, substrate concentration 25% (w/v), and incubation time 3 h for 80 degrees C.

In this work, we measured the millisecond residue specific protein folding and unfolding dynamics in E. coli cells for two protein GB3 mutants using NMR. The results show that the protein folding and unfolding dynamics in cells is different from that in buffer. Through a two-site exchange model, it is shown that both the population and the exchange rate are changed by the E. coli cellular environment. Further investigation suggests that the change is likely due to the quinary interaction with crowded molecules in the cell. Our work underlines the importance of cellular environment to protein folding kinetics and thermodynamics although this environmental effect may not be large enough to change the protein structure.

Multi-source remote sensing imagery has become widely accessible owing to the development of data acquisition systems. In this paper, we address the challenging task of the semantic segmentation of buildings via multi-source remote sensing imagery with different spatial resolutions. Unlike previous works that mainly focused on optimizing the segmentation model, which did not enable the severe problems caused by the unaligned resolution between the training and testing data to be fundamentally solved, we propose to integrate SR techniques with the existing framework to enhance the segmentation performance. The feasibility of the proposed method was evaluated by utilizing representative multi-source study materials: high-resolution (HR) aerial and low-resolution (LR) panchromatic satellite imagery as the training and testing data, respectively. Instead of directly conducting building segmentation from the LR imagery by using the model trained using the HR imagery, the deep learning-based super-resolution (SR) model was first adopted to super-resolved LR imagery into SR space, which could mitigate the influence of the difference in resolution between the training and testing data. The experimental results obtained from the test area in Tokyo, Japan, demonstrate that the proposed SR-integrated method significantly outperforms that without SR, improving the Jaccard index and kappa by approximately 19.01% and 19.10%, respectively. The results confirmed that the proposed method is a viable tool for building semantic segmentation, especially when the resolution is unaligned.

To produce aglycone isoflavones from soy flour, the b-glucosidase A gene (bglA) of Thermotoga maritima was overexpressed in Escherichia coli BL21-CodonPlus (DE3)-RIL. The K m and V max values of the purified BglA for pNPG were 0.43 mM and 323.6 U mg -1 , respectively, and those for salicin were 9.0 mM and 183.2 U mg -1 , respectively. The biochemical and kinetic characteristics of his-tagged BglA were found to be similar to those of BglA, except for the temperature stability and specific activity. Production of aglycone isoflavones from soy flour by BglA was examined by HPLC. For 3 h at 80°C, all the isoflavone glycosides approximated to the complete conversion into aglycone isoflavones, over seven times higher than that obtained from soy flour without BglA.

The ability to design thermostable proteins offers enormous potential for the development of novel protein bioreagents. In this work, a combined computational and experimental method was developed to increase the T m of the flavin mononucleotide based fluorescent protein Bacillus Subtilis YtvA LOV domain by 31 Celsius, thus extending its applicability in thermophilic systems. Briefly, the method includes five steps, the single mutant computer screening to identify thermostable mutant candidates, the experimental evaluation to confirm the positive selections, the computational redesign around the thermostable mutation regions, the experimental reevaluation and finally the multiple mutations combination. The adopted method is simple and effective, can be applied to other important proteins where other methods have difficulties, and therefore provides a new tool to improve protein thermostability.

Cis-epoxysuccinic acid hydrolase (CESH) is an enzyme that catalyzes cis-epoxysuccinic acid to produce enantiomeric L(+)-tartaric acid. The production of tartaric acid by using CESH would be valuable in the chemical industry because of its high yield and selectivity, but the low stability of CESH hampers its application. To improve the stability of CESH, we fused five different carbohydrate-binding modules (CBMs) to CESH and immobilized the chimeric enzymes on cellulose. The effects of the fusion and immobilization on the activity, kinetics, and stability of CESH were compared. Activity measurements demonstrated that the fusion with CBMs and the immobilization on cellulose increased the pH and temperature adaptability of CESH. The chimeric enzymes showed significantly different enzyme kinetics parameters, among which the immobilized CBM30-CESH exhibited twofold catalytic efficiency compared with the native CESH. The half-life measurements indicated that the stability of the enzyme in its free form was slightly increased by the fusion with CBMs, whereas the immobilization on cellulose significantly increased the stability of the enzyme. The immobilized CBM30-CESH showed the longest half-life, which is more than five times the free native CESH half-life at 30 °C. Therefore, most CBMs can improve enzymatic properties, and CBM30 is the best fusion partner for CESH to improve both its enzymatic efficiency and its stability.

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