Ratio-dependent parasitism with Trissolcus basalis (Wollaston) (Hymenoptera: Scelionidae) on egg rafts of Nezara viridula (Linnaeus) (Hemiptera: Pentatomidae): effect of experimental variables and compatibility of 'ratio' and 'Holling' models

Abstract Egg rafts of Nezara viridula were exposed to the parasitoid wasp Trissolcus basalis in experimental arenas to establish the relationship of the rates of attack and parasitism to various combinations of arena size, parasitoid density, host density and parasitoid-to-host ratio. Arena sizes were varied in the ratio 1:9:63, with the largest having a search area of 1.44 m². Parasitoid and host densities were varied over a 27-fold range. The parasitoid-to-host ratios used were 1:1, 3:1 and 6:1. Finding time was related to a constant factor (flight propensity), rather than to the difficulty of finding (density of hosts). Initial attack rates were therefore related only to parasitoid numbers (or density), even at the lower densities and ratios. Parasitism rates (a function of attack rate per host) were thus also strongly related to parasitoid to host ratio, regardless of densities used and arena sizes. Even reducing host density, while keeping time and parasitoid density constant, increased the parasitism rate. A ratio model for parasitism rate was therefore compatible with the data but the more explicit Holling 'disc' equation was also compatible because handling time was sufficiently large to make it sensitive to the ratio of parasitoids to hosts for the densities used. We conclude that the two models would predict different results if the density of host egg rafts was in a range below one per square metre.     

ER Stress Induced by Tunicamycin Triggers α-Synuclein Oligomerization,Dopaminergic Neurons Death and Locomotor Impairment: a New Model of Parkinson’s Disease

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by progressive death of dopaminergic neurons of the substantia nigra pars compacta (SNpc), leading to the major clinical abnormalities that characterize this disease. Although PD’s etiology is unknown, α-synuclein aggregation plays a pivotal role in PD pathogenesis, which could be associated to some pathological processes such as oxidative stress, endoplasmic reticulum (ER) stress, impaired protein degradation, and mitochondrial dysfunction. Increasing experimental evidence indicates that ER stress is involved in PD, however most of the described results employed cultured cell lines and genetically modified animal models. In this study, we developed a new ER stress rat model employing the well-known ER stressor tunicamycin (Tm). To evaluate if ER stress was able to induce PD features, we performed an intranigral injection of Tm (0.1 μg/cerebral hemisphere) and animals (male Wistar rats) were analyzed 7 days post injection. The classical 6-OHDA neurotoxin model (1 μg/cerebral hemisphere) was used as an established positive control for PD. We show that Tm injection induced locomotor impairment, dopaminergic neurons death, and activation of astroglia. In addition, we observed an extensive α-synuclein oligomerization in SNpc of Tm-injected animals when compared with DMSO-injected controls. Finally, both Tm and 6-OHDA treated animals presented increased levels of ER stress markers. Taken together, these findings show for the first time that the ER stressor Tm recapitulates some of the phenotypic characteristics observed in rodent models of PD, reinforcing the concept that ER stress could be an important contributor to the pathophysiology of PD. Therefore, we propose the intranigral Tm injection as a new ER stress-based model for the study of PD in vivo.     

Synthesis and antimicrobial activity of novel 1,4,5-triphenyl-1<Emphasis Type="Italic">H</Emphasis>-imidazol-[1,2,3]-triazole derivatives

Novel 1-phenyl-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole derivatives were synthesized by click chemistry reaction and screened for antimicrobial activity against grampositive and gram-negative bacterial and fungal species. All the compounds were characterized by ¹H and ¹³C NMR, IR, and mass spectral data. The results of antibacterial study indicated that 1-(4-nitrophenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole, 1-(4-(4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazol-1-yl)phenyl)ethanone, 1-(2,6-dichloro-4-nitrophenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole, and 1-(2-methoxy-4-nitrophenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole showed appreciable antibacterial activity while 1-(4-fluorophenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy) methyl)-1H-1,2,3-triazole, 1-(2,6-dichloro-4-nitrophenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole, and 1-(4-methoxyphenyl)-4-((4-(1,4,5-triphenyl-1H-imidazol-2-yl)phenoxy)methyl)-1H-1,2,3-triazole emerged as the most potential antifungal agents.     

An offline-addition format for identifying GPCR modulators by screening 384-well mixed compounds in the FLIPR

Although fluorescence imaging plate reader (FLIPR)-based assays have been widely used in high-throughput screening, improved efficiencies in throughput and fidelity continue to be investigated. This study presents an offline compound addition protocol coupled with a testing strategy using mixtures of compounds in a 384-well format to identify antagonists of the neurokinin-1 receptor expressed in the human astrocytoma cell line (U373 MG). Substance P evoked a concentration-dependent increase in intracellular cellular Ca(2+) with an EC(50) value of 0.30 +/- 0.17 nM, which was inhibited by neurokinin-1 (NK1) antagonists L-733,060 and L-703,606. Test compounds, as mixtures of 10 compounds/well, were added to the cells offline using an automated dispensing unit and incubated prior to performing the assay in the FLIPR. Using the offline protocol, a higher through put of ~200,000 compounds was achieved in an 8-h working day, and several novel structural classes of compounds were identified as antagonists for the NK1 receptor. These studies demonstrate that the offline compound addition format using a mixture of compounds in a 384-well FLIPR assay provides an efficient platform for screening and identifying modulators for G-protein-coupled receptors.     

The mutation rates of di-, tri- and tetranucleotide repeats in Drosophila melanogaster

In a recent study, we reported that the combined average mutation rate of 10 di-, 6 tri-, and 8 tetranucleotide repeats in Drosophila melanogaster was 6.3 x 10(-6) mutations per locus per generation, a rate substantially below that of microsatellite repeat units in mammals studied to date (range = 10(-2)-10(-5) per locus per generation). To obtain a more precise estimate of mutation rate for dinucleotide repeat motifs alone, we assayed 39 new dinucleotide repeat microsatellite loci in the mutation accumulation lines from our earlier study. Our estimate of mutation rate for a total of 49 dinucleotide repeats is 9.3 x 10(-6) per locus per generation, only slightly higher than the estimate from our earlier study. We also estimated the relative difference in microsatellite mutation rate among di-, tri-, and tetranucleotide repeats in the genome of D. melanogaster using a method based on population variation, and we found that tri- and tetranucleotide repeats mutate at rates 6.4 and 8.4 times slower than that of dinucleotide repeats, respectively. The slower mutation rates of tri- and tetranucleotide repeats appear to be associated with a relatively short repeat unit length of these repeat motifs in the genome of D. melanogaster. A positive correlation between repeat unit length and allelic variation suggests that mutation rate increases as the repeat unit lengths of microsatellites increase.      

Use of the score test as a goodness-of-fit measure of the covariance structure in genetic analysis of longitudinal data

Model selection is an essential issue in longitudinal data analysis since many different models have been proposed to fit the covariance structure. The likelihood criterion is commonly used and allows to compare the fit of alternative models. Its value does not reflect, however, the potential improvement that can still be reached in fitting the data unless a reference model with the actual covariance structure is available. The score test approach does not require the knowledge of a reference model, and the score statistic has a meaningful interpretation in itself as a goodness-of-fit measure. The aim of this paper was to show how the score statistic may be separated into the genetic and environmental parts, which is difficult with the likelihood criterion, and how it can be used to check parametric assumptions made on variance and correlation parameters. Selection of models for genetic analysis was applied to a dairy cattle example for milk production.     

A short review on the root canal configuration of primary maxillary molars

It is of interest to compile available information on the root canal morphology of primary maxillary molars from known literature. The literature resources used to collect data include Medline/PubMed, The Cochrane Central Register of Clinical Trials, SIGLE and Science Direct. Data consists of type of population, number of teeth per study, number of root canals, canal length and type of root canal configuration. We used data from a total of 13 studies (951 primary maxillary molars). Maxillary molars (1st and 2nd) are dominant for two roots variant. The first molar the mean root length ranges from 7.9mm - 8.1mm. The second molar ranges from 7.2mm-8.5mm. Type I (explain in a phrase) canal morphology is the common variant in both the molars. Data shows that Root Canal morphology shows variations with the diagnostic aid (example micro CT) used and in different ethnic populations.