Radiostimulation of barley seeds treated with 2-mercaptoethanol of ascorbate

In model experiments with Bonus barley,where the growth of a fraction of the seedlings is retarded by a raised thiol content, obtained through treatment with 2-mercaptoethanol, stimulation of growth is reproducibly induced by low doses of γ-rays. As illustrated by a probit representation of seedling heights, and by the decrease of coefficients of variation, the radiostimulation is restricted to that fraction of seedlings which exhibits a suppressd growth. The validity of the model to natural situations was sustained in studies of the variety Impala, which was shown by Fendrik and Bors to respond regularly to stimulating doses of X-rays. In this variety the response was shown to be restricted to a sub-population of seedlings with retarded growth, i.e. the same pattern as observed in thiol-treated Bonus barley.     

Edaphic factors and plant species distribution in a protected area in the desert of Bahrain Island

Effects of edaphic factors (salinity, pH, Na⁺, K⁺, Ca⁺⁺, CaCO₃, water holding capacity, and grain size) on the spatial distribution of plants were investigated. Soil was sampled at 22 stands. Sixteen plant species were recorded from these stands. Relation between edaphic factors and plant distribution was investigated using correlation statistical analysis. Distribution of some plants was found to be highly correlated with edaphic factor(s).     

Molecular identification and determination of the trichothecene chemotypes of fungi causing crown and root in different growth stages of wheat in north of Iran

In order to determine the crown and root agents and their mycotoxins produced in different growth stages of wheat including seedling, tillering and heading, sampling was done in north of Iran, during 2011–2012. From 160 isolates of Fusarium, eight species were obtained including F. graminearum, F. culmorum, F. equiseti, F. nygamai, F. semitectum, F. solani, F. acuminatum and F. oxysporum. Sampling at different growth stages showed that F. graminearum was the predominant causal agent of crown and root at the heading stage, whereas other species of Fusarium were mostly observed at the seedling and tillering stages. Moreover, identification of pathogenic species was confirmed using species-specific primers pairs. In F. graminearum isolates, presence of Tri13 gene, responsible for nivalenol (NIV) and deoxynivalenol (DON) mycotoxins biosynthesis, was detected using specific PCR primers. Finally, the ability of trichothecene production of five F. graminearum isolates was confirmed with high-performance liquid chromatography.     

Reduction of the human detective quantum efficiency due to lateral neural interactions

We present a simple representation of the lateral neural interactions of summation and subtraction in a situation involving quantum limited luminance increment detection. Lateral subtractive interactions would be expected to lower the measured quantum efficiency by up to a log unit. Lateral neural interactions can explain both the type and amount of decrease of human foveal quantum efficiency with target area reported by Cohn as well as the increase reported by Clark-Jones.     

Effect of Peroxisome Proliferator-Activated Receptor-γ Coactivator-1 Alpha Variants on Spontaneous Clearance and Fibrosis Progression during Hepatitis C Virus Infection in Moroccan Patients

Virologica Sinica - Hepatitis C virus (HCV) is still one of the main causes of liver disease worldwide. Metabolic disorders, including non-alcoholic fatty liver disease (NAFLD), induced by HCV have...     

A high-fat diet rich in corn oil exaggerates the infarct size and memory impairment in rats with cerebral ischemia and is associated with suppressing osteopontin and Akt,and activating GS3Kβ, iNOS,and NF-κB

Journal of Physiology and Biochemistry - The increase in osteopontin (OPN) levels after stroke induces neural protection by activating Akt signaling and inhibiting GS3Kβ, iNOS, and NF-κB....     

Antimicrobial effect of different herbal plant extracts against different microbial population

This study evaluates the antimicrobial effects of ethanolic extract of five herbal plants; Guava (Psidium guajava), Sage (Salvia officinalis), Rhamnus (Ziziphusspina Christi), Mulberry (Morusalba L.), and Olive (Oleaeuropaea L) leaves against several microbial population representing Gram positive, Gram negative and Mollicutes; S. aureus, E. coli, Pasteurella multocida, B. cereus, Salmonella Enteritidis and M. gallisepticum using standard agar disc diffusion technique and minimal inhibitory concentration (MIC). Different extracts reveal variable results against the microorganism under study. All extracts have no antibacterial potency for Mycoplasma gallisepticum except Psidium guajava. The results of minimal inhibitory concentration (MIC) and Minimum bactericidal concentration (MBC) of the extracts against the six bacteria ranged from 625 to 5000 μg/ml. The used herbal extract could inhibit the selected microorganism under study with variable minimal inhibitory concentration (MIC) and minimum bactericidal concentration (MBC).     

Long-read RNA sequencing of human and animal filarial parasites improves gene models and discovers operons

Filarial parasitic nematodes (Filarioidea) cause substantial disease burden to humans and animals around the world. Recently there has been a coordinated global effort to generate, annotate, and curate genomic data from nematode species of medical and veterinary importance. This has resulted in two chromosome-level assemblies (Brugia malayi and Onchocerca volvulus) and 11 additional draft genomes from Filarioidea. These reference assemblies facilitate comparative genomics to explore basic helminth biology and prioritize new drug and vaccine targets. While the continual improvement of genome contiguity and completeness advances these goals, experimental functional annotation of genes is often hindered by poor gene models. Short-read RNA sequencing data and expressed sequence tags, in cooperation with ab initio prediction algorithms, are employed for gene prediction, but these can result in missing clade-specific genes, fragmented models, imperfect mapping of gene ends, and lack of isoform resolution. Long-read RNA sequencing can overcome these drawbacks and greatly improve gene model quality. Here, we present Iso-Seq data for B. malayi and Dirofilaria immitis, etiological agents of lymphatic filariasis and canine heartworm disease, respectively. These data cover approximately half of the known coding genomes and substantially improve gene models by extending untranslated regions, cataloging novel splice junctions from novel isoforms, and correcting mispredicted junctions. Furthermore, we validated computationally predicted operons, manually curated new operons, and merged fragmented gene models. We carried out analyses of poly(A) tails in both species, leading to the identification of non-canonical poly(A) signals. Finally, we prioritized and assessed known and putative anthelmintic targets, correcting or validating gene models for molecular cloning and target-based anthelmintic screening efforts. Overall, these data significantly improve the catalog of gene models for two important parasites, and they demonstrate how long-read RNA sequencing should be prioritized for ongoing improvement of parasitic nematode genome assemblies.     

Model‐assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways

Efficient approaches to increase plant lipid production are necessary to meet current industrial demands for this important resource. While Jatropha curcas cell culture can be used for in vitro lipid production, scaling up the system for industrial applications requires an understanding of how growth conditions affect lipid metabolism and yield. Here we present a bottom‐up metabolic reconstruction of J. curcas supported with labeling experiments and biomass characterization under three growth conditions. We show that the metabolic model can accurately predict growth and distribution of fluxes in cell cultures and use these findings to pinpoint energy expenditures that affect lipid biosynthesis and metabolism. In addition, by using constraint‐based modeling approaches we identify network reactions whose joint manipulation optimizes lipid production. The proposed model and computational analyses provide a stepping stone for future rational optimization of other agronomically relevant traits in J. curcas.