Microsatellite primers for Halophila ovalis and cross-amplification in H. minor (Hydrocharitaceae)

?Premise of the study: Polymorphic microsatellite primers were developed in the seagrass Halophila ovalis to investigate genetic variation. ?Methods and Results: Ten polymorphic microsatellite loci were developed in Halophila ovalis. The number of alleles per locus ranged from 2 to 12 across 80 H. ovalis individuals. These loci were successfully amplified in H. minor, and four were monomorphic across 30 individuals. ?Conclusions: These results from four H. ovalis populations and one H. minor population show the broad utility of microsatellite loci in future studies of population genetics. Four distinct alleles were present in H. minor but absent in H. ovalis, indicating potential divergence between them.     

Efficient production of S-adenosyl-l-methionine from dl-methionine in metabolic engineered Saccharomyces cerevisiae

S-Adenosyl-l -methionine (SAM) is an important small molecule compound widely used in treating various diseases. Although l -methionine is generally used, the low-cost dl -methionine is more suitable as the substrate for industrial production of SAM. However, d -methionine is inefficient for SAM formation due to the substrate-specificity of SAM synthetase. In order to increase the utilization efficiency of dl -methionine, intracellular conversion of d -methionine to l -methionine was investigated in the type strain Saccharomyces cerevisiae BY4741 and an industrial strain S. cerevisiae HDL. Firstly, via disruption of HPA3 encoding d -amino acid-N-acetyltransferase, d -methionine was accumulated in vivo and no N-acetyl-d -methionine production was observed. Further, codon-optimized d -amino acid oxidase (DAAO) gene from Trigonopsis variabilis (Genbank MK280686) and l -phenylalanine dehydrogenase gene (l -PheDH) from Rhodococcus jostii (Genbank MK280687) were introduced to convert d -methionine to l -methionine, SAM concentration and content was increased by 110% and 72.1% in BY4741 (plasmid borne) and increased by 38.2% and 34.1% in HDL (genome integrated), by feeding 0.5 g/L d -methionine. Using the recently developed CRISPR tools, the DAAO and l -PheDH expression cassettes were integrated into the HPA3 and SAH1 loci while SAM2 expression was integrated into the SPE2 and GLC3 loci of HDL, and the resultant strain HDL-R2 accumulated 289% and 192% more SAM concentration and content, respectively, by feeding 0.5 g/L dl -methionine. Further, in a 10 L fed-batch fermentation process, 10.3 g/L SAM were accumulated with the SAM content of 242 mg/g dry cell weight by feeding 16 g/L dl -methionine. The strategies used here provided a promising approach to enhance SAM production using low-cost dl -methionine.     

Efficient Plasmonic Au/CdSe Nanodumbbell for Photoelectrochemical Hydrogen Generation beyond Visible Region

In this communication, light harvesting and photoelectrochemical (PEC) hydrogen generation beyond the visible region are realized by an anisotropic plasmonic metal/semiconductor hybrid photocatalyst with precise control of their topology and heterointerface. Controlling the intended configuration of the photocatalytic semiconductor to anisotropic Au nanorods' plasmonic hot spots, through a water phase cation exchange strategy, the site‐selective overgrowth of a CdSe shell evolving from a core/shell to a nanodumbbell is realized successfully. Using this strategy, tip‐preferred efficient photoinduced electron/hole separation and plasmon enhancement can be realized. Thus, the PEC hydrogen generation activity of the Au/CdSe nanodumbbell is 45.29 µmol cm^?2 h^?1 (nearly 4 times than the core/shell structure) beyond vis (λ > 700 nm) illumination and exhibits a high faradic efficiency of 96% and excellent stability with a constant photocurrent for 5 days. Using surface photovoltage microscopy, it is further demonstrated that the efficient plasmonic hot charge spatial separation, which hot electrons can inject into CdSe semiconductors, leads to excellent performance in the Au/CdSe nanodumbbell.     

Boost the Performance of Triboelectric Nanogenerators through Circuit Oscillation

Triboelectric nanogenerator (TENG) which harvests ubiquitous ambient mechanical energy is a promising power source that can meet the distributed energy demand in the internet of things, wearable electronics, etc. However, the available output of TENG is severely limited by the saturated polarized charge density, small intrinsic capacitance, and large matching impedance. Herein, an effective power management strategy is proposed that flips the free charges on the conductive layer through a controlled LC oscillating circuit composed of the diode, switch, inductor, and the intrinsic capacitor of TENG. In this way, the equivalent charge density reaches a level higher than the saturated polarized charge density. The simulation and experiments show that the limit of energy output can be exceeded under arbitrary load resistance, especially for the low‐impedance common electronics. It is believed that such a general, low‐cost, and highly effective strategy can further broaden the applications of TENG devices across the fields and probably be a new performance evaluation standard for TENG.     

Identification of curcumin derivatives as human glyoxalase I inhibitors: A combination of biological evaluation, molecular docking, 3D-QSAR and molecular dynamics simulation studies

Several recent developments suggest that the human glyoxalase I (GLO I) is a potential target for anti-tumor drug development. In present study, a series of curcumin derivatives with high inhibitory activity against human GLO I were discovered. Inhibition constant (K(i)) values of compounds 8, 9, 10, 11 and 13 to GLO I are 4.600μM, 2.600μM, 3.200μM, 3.600μM and 3.600μM, respectively. To elucidate the structural features of potent inhibitors, docking-based three-dimensional structure-activity relationship (3D-QSAR) analyses were performed. Satisfactory agreement between experiment and theory suggests that comparative molecular similarity index analysis (CoMSIA) modeling exhibit much better correlation and predictive power. The cross-validated q(2) value is 0.638 while no-validation r(2) value is 0.930. Integrated with docking-based 3D-QSAR CoMSIA modeling, molecular surface property (electrostatic and steric) mapping and molecular dynamics simulation, a set of receptor-ligand binding models and bio-affinity predictive models for rational design of more potent inhibitors of GLO I are established.