THE COMPOSITION OF WATER COLLECTED FROM THE KUISEB RIVER,NAMIB DESERT,AT GOBABEB

SUMMARY

Water from the Kuiseb River at Gobabeb varied in ionic content. Various ionic dominance orders were recorded from flooding until the pools dried up. The quality was not suitable for irrigation, but would present no problems when used by stock or wildlife.     

A new adduct of iriflophene and flavonoid from Sedum aizoon L.

A new adduct of iriflophene and flavonoid, 1, 8, 10, 10b-tetrahydroxy-3-methoxy-5a-(3,4-dihydr- oxyphenyl)-9-(4-hydroxybenzoyl)-5a,10b-dihydro-11H-benzofuro[2,3-b]chromen-11-one (1), together with six known compounds were isolated from the EtOH extract from Sedum aizoon L. Their chemical structures were elucidated by analyses of spectral data. The chemotaxonomic analysis of the compounds was discussed, compounds 1–4 provide important chemotaxonomic markers for S. aizoon.     

Approaching mathematical model of the immune network based DNA Strand Displacement system

One biggest obstacle in molecular programming is that there is still no direct method to compile any existed mathematical model into biochemical reaction in order to solve a computational problem. In this paper, the implementation of DNA Strand Displacement system based on nature-inspired computation is observed. By using the Immune Network Theory and Chemical Reaction Network, the compilation of DNA-based operation is defined and the formulation of its mathematical model is derived. Furthermore, the implementation on this system is compared with the conventional implementation by using silicon-based programming. From the obtained results, we can see a positive correlation between both. One possible application from this DNA-based model is for a decision making scheme of intelligent computer or molecular robot.     

Effect of combination between inducer resistance chemicals and systemic fungicides on management of sweet melon downy mildew

The efficiency of some inducer resistance chemicals (IRCs) like bion, chitosan, humic acid and salicylic acid as well as the fungicides like Folu-Gold, Galben Copper, Previcure-N and Redomil Gold Mancozeb on management of sweet melon downy mildew, caused by Pseudoperonospora cubensis was evaluated in vitro and in vivo. Also, the efficiency of the alternation between the sprayed two fungicides and IRCs on management of the disease and the produced fruit yield and its total soluble solids (TSS) under field conditions were assessed. The inhibitory effect of the IRCs and the tested fungicides on sporangial germination of P. cubensis resulted in a significant reduction in the germinated sporangia. In addition, IRCs were less effective than the fungicides. Disease management revealed the same trend of the in vitro experiment when they sprayed fungicides on sweet melon plants artificially inoculated with the sporangia of the causal fungus under greenhouse conditions. Furthermore, under field conditions, spraying sweet melon plants with the two tested fungicides was the most efficient in decreasing the disease and increasing fruit yield and its TSS, to somewhat, followed by the alternation between them and the tested IRCs. In addition, IRCs treatments showed the lowest efficiency in this regard.     

Comparing methods for metabolic network analysis and an application to metabolic engineering

Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories.     

Health applications of bioactive compounds from marine microalgae

Marine microalgae and cyanobacteria are very rich in several chemical compounds and, therefore, they may be used in several biological applications related with health benefits, among others. This review brings the research up-to-date on the bioactive compounds produced by marine unicellular algae, directly or indirectly related to human health. It covers and goes through the most studied applications of substances such as PUFA, sterols, proteins and enzymes, vitamins and pigments, in areas so diverse as human and animal nutrition, therapeutics, and aquaculture. The great potential of marine microalgae and the biocoumpounds they produce are discussed in this review.     

Aberrant Assembly of RNA Recognition Motif 1 Links to Pathogenic Conversion of TAR DNA-binding Protein of 43 kDa (TDP-43)

Aggregation of TAR DNA-binding protein of 43 kDa (TDP-43) is a pathological signature of amyotrophic lateral sclerosis (ALS). Although accumulating evidence suggests the involvement of RNA recognition motifs (RRMs) in TDP-43 proteinopathy, it remains unclear how native TDP-43 is converted to pathogenic forms. To elucidate the role of homeostasis of RRM1 structure in ALS pathogenesis, conformations of RRM1 under high pressure were monitored by NMR. We first found that RRM1 was prone to aggregation and had three regions showing stable chemical shifts during misfolding. Moreover, mass spectrometric analysis of aggregated RRM1 revealed that one of the regions was located on protease-resistant β-strands containing two cysteines (Cys-173 and Cys-175), indicating that this region served as a core assembly interface in RRM1 aggregation. Although a fraction of RRM1 aggregates comprised disulfide-bonded oligomers, the substitution of cysteine(s) to serine(s) (C/S) resulted in unexpected acceleration of amyloid fibrils of RRM1 and disulfide-independent aggregate formation of full-length TDP-43. Notably, TDP-43 aggregates with RRM1-C/S required the C terminus, and replicated cytopathologies of ALS, including mislocalization, impaired RNA splicing, ubiquitination, phosphorylation, and motor neuron toxicity. Furthermore, RRM1-C/S accentuated inclusions of familial ALS-linked TDP-43 mutants in the C terminus. The relevance of RRM1-C/S-induced TDP-43 aggregates in ALS pathogenesis was verified by immunolabeling of inclusions of ALS patients and cultured cells overexpressing the RRM1-C/S TDP-43 with antibody targeting misfolding-relevant regions. Our results indicate that cysteines in RRM1 crucially govern the conformation of TDP-43, and aberrant self-assembly of RRM1 at amyloidogenic regions contributes to pathogenic conversion of TDP-43 in ALS.     

In Vivo Activation of Azipropofol Prolongs Anesthesia and Reveals Synaptic Targets

General anesthetic photolabels have been instrumental in discovering and confirming protein binding partners and binding sites of these promiscuous ligands. We report the in vivo photoactivation of meta-azipropofol, a potent analog of propofol, in Xenopus laevis tadpoles. Covalent adduction of meta-azipropofol in vivo prolongs the primary pharmacologic effect of general anesthetics in a behavioral phenotype we termed “optoanesthesia.” Coupling this behavior with a tritiated probe, we performed unbiased, time-resolved gel proteomics to identify neuronal targets of meta-azipropofol in vivo. We have identified synaptic binding partners, such as synaptosomal-associated protein 25, as well as voltage-dependent anion channels as potential facilitators of the general anesthetic state. Pairing behavioral phenotypes elicited by the activation of efficacious photolabels in vivo with time-resolved proteomics provides a novel approach to investigate molecular mechanisms of general anesthetics.