Isolation,characterization and virulence of bacteria from <Emphasis Type="Italic">Ostrinia nubilalis</Emphasis> (Lepidoptera: Pyralidae)

Isolation, characterization and virulence of the culturable bacteria from entire tissues of larval Ostrinia nubilalis (Hübner) (Lepidoptera: Pyralidae) were studied to obtain new microbes for biological control. A total of 16 bacteria were isolated from living and dead larvae collected from different maize fields in the Eastern Black Sea Region of Turkey. The bacterial microbiota of O. nubilalis were identified as Pseudomonas aeruginosa (On1), Brevundimonas aurantiaca (On2), Chryseobacterium formosense (On3), Acinetobacter sp. (On4), Microbacterium thalassium (On5), Bacillus megaterium (On6), Serratia sp. (On7), Ochrobactrum sp. (On8), Variovorax paradoxus (On9), Corynebacterium glutamicum (On10), Paenibacillus sp. (On11), Alcaligenes faecalis (On12), Microbacterium testaceum (On13), Leucobacter sp. (On14), Leucobacter sp. (On15) and Serratia marcescens (On16) based on their morphological and biochemical characteristics. A partial sequence of the 16S rRNA gene was also determined to confirm strain identification. The highest insecticidal activities were obtained from P. aeruginosa On1 (80%), Serratia sp. On7 (60%), V. paradoxus On9 (50%) and S. marcescens On16 (50%) against larvae 14 days after treatment (p < 0.05). Also, the highest activity from previously isolated Bacillus species was observed from Bacillus thuringiensis subsp. tenebrionis Xd3 with 80% mortality within the same period (p < 0.05). Our results indicate that P. aeruginosa On1, Serratia sp. On7, V. paradoxus On9, S. marcescens On16 and B. thuringiensis subsp. tenebrionis Xd3 show potential for biocontrol of O. nubilalis.     

Hyberbaric oxygen increases atresia in normal &; steroid induced PCO rat ovaries

Background  

In this study, we investigated the effect of hyperbaric oxygen therapy (HBOT) on the morphology of estradiol valerate (EV) induced polycystic ovary (PCO) to find a new treatment modality for improvement of PCO.     

Smart Markers for Watershed-Based Cell Segmentation

Automated cell imaging systems facilitate fast and reliable analysis of biological events at the cellular level. In these systems, the first step is usually cell segmentation that greatly affects the success of the subsequent system steps. On the other hand, similar to other image segmentation problems, cell segmentation is an ill-posed problem that typically necessitates the use of domain-specific knowledge to obtain successful segmentations even by human subjects. The approaches that can incorporate this knowledge into their segmentation algorithms have potential to greatly improve segmentation results. In this work, we propose a new approach for the effective segmentation of live cells from phase contrast microscopy. This approach introduces a new set of “smart markers” for a marker-controlled watershed algorithm, for which the identification of its markers is critical. The proposed approach relies on using domain-specific knowledge, in the form of visual characteristics of the cells, to define the markers. We evaluate our approach on a total of 1,954 cells. The experimental results demonstrate that this approach, which uses the proposed definition of smart markers, is quite effective in identifying better markers compared to its counterparts. This will, in turn, be effective in improving the segmentation performance of a marker-controlled watershed algorithm.     

Obestatin is present in saliva: alterations in obestatin and ghrelin levels of saliva and serum in ischemic heart disease

Ghrelin and obestatin are a single gene products and are a multiple functional peptides that regulates energy homeostasis, and food intake. In the present work, we studied the secretion of ghrelin and its co-secreted peptide obestatin in 44 patients with ischemic heart disease with that of 27 healthy matched controls. Here we first conducted using an immunohistochemistry assay to screen whether human salivary glands have any obestatin immunoreactivity. Then, serum and saliva obestatin and acylated ghrelin levels were determined by using Radioimmunoassay. Our immunohistochemical analysis demonstrated that obestatin was localized in the striated and excretory duct of human salivary gland. We also report for the first time that obestatin, like ghrelin, is present in human salivary gland and saliva. No evidence of the role of obestatin or ghrelin saliva levels in the context of ischemic heart disease was found. Salivary ghrelin and obestatin levels are correlated in controls with the blood levels. Determination of salivary values could represent a non-invasive alternative to serum ones that can be useful in clinical practice.     

The Protective Effect of Dexanabinol (HU-211) on Nitric Oxide and Cysteine Protease-Mediated Neuronal Death in Focal Cerebral Ischemia

We hypothesized that dexanabinol can prevent neuronal death by protecting neuronal lysosomes from nitric oxide (NO)-mediated toxicity, and in turn, by suppressing the release of cathepsins during cerebral ischemia. Focal cerebral ischemia was induced in two sets of animals by permanent middle cerebral artery occlusion. The first set was used to monitor NO concentration and cathepsin activity, while the second was used for histological examination with hematoxylin and eosin, and TUNEL staining. In post-ischemic brain tissue, NO content and cathepsin B and L activity increased (p < 0.05). Dexanabinol treatment reduced NO concentration and cathepsin activity to the control level (p > 0.05). The number of eosinophilic and apoptotic neurons increased in the post-ischemic cerebral cortex (p < 0.05). However, dexanabinol treatment lowered both of these (p < 0.05). We conclude that dexanabinol might be a useful agent for the treatment of stroke patients.     

Control of Postharvest Diseases of Organically Grown Strawberry with Preharvest Applications of some Food Additives and Postharvest Hot Water Dips

Ethanol at 50% (v/v) and sodium bicarbonate at 1% (wt/v), either alone or in combination, were applied to organically grown strawberries 1 h before harvest to control the natural incidence of postharvest diseases. Botrytis cinerea was the major cause of decay in all of the experiments. In three experiments, ethanol significantly reduced the decay incidence after storage for 3 days at 1°C followed by 2 days at 24°C, while the efficacy of sodium bicarbonate was inconsistent. The combination of ethanol and sodium bicarbonate did not increase their efficacy. Postharvest hot water dips at 55 and 60°C for 30 s significantly reduced the decay incidence to 3.4 and 2.7%, respectively, while decay incidence in the control was 28.5% (the first experiment). The efficacy of the hot water treatments at 55 and 60°C for 30 s was consistent in three experiments. In the third experiment, the efficacy of hot water treatment at 60°C was significantly higher than that of hot water treatment at 55°C. All pre‐ and postharvest treatments significantly reduced natural fungal populations on the surfaces of fruits. None of the pre‐ and postharvest treatments caused surface injuries to the fruit or adversely affected weight loss and taste parameters.     

Population Level Inference for Multivariate MEG Analysis

Multivariate analysis is a very general and powerful technique for analysing Magnetoencephalography (MEG) data. An outstanding problem however is how to make inferences that are consistent over a group of subjects as to whether there are condition-specific differences in data features, and what are those features that maximise these differences. Here we propose a solution based on Canonical Variates Analysis (CVA) model scoring at the subject level and random effects Bayesian model selection at the group level. We apply this approach to beamformer reconstructed MEG data in source space. CVA estimates those multivariate patterns of activation that correlate most highly with the experimental design; the order of a CVA model is then determined by the number of significant canonical vectors. Random effects Bayesian model comparison then provides machinery for inferring the optimal order over the group of subjects. Absence of a multivariate dependence is indicated by the null model being the most likely. This approach can also be applied to CVA models with a fixed number of canonical vectors but supplied with different feature sets. We illustrate the method by identifying feature sets based on variable-dimension MEG power spectra in the primary visual cortex and fusiform gyrus that are maximally discriminative of data epochs before versus after visual stimulation.     

Differential protein input in the maternal diet alters the skeletal muscle transcriptome in fetal sheep

Mammalian Genome - Maternal nutrition during pregnancy is one of the major intrauterine environmental factors that influence fetal development by significantly altering the expression of genes that...     

Decrease in biodiversity in wheat fields due to changing agricultural practices in five decades

Wheat is widely grown in Turkey in the winter season, generally and weeds have been problem in production. Changes in agricultural practices such as increasing mechanization, changing cropping systems and widely use of herbicides and fertilizers has been causing some changes in weed flora in wheat fields from past to present. A contemporary weed survey was done in 2014 in the wheat fields of ?anl?urfa province, which dominate the production of Southeastern region and results were compared with a former survey done in 1967 in the same region. As a result of the comparison, flora has been notably changed; the number of weed species declined from 221 to 71 which means more than threefold diversity loss. In addition, species common over 50% of fields declined dramatically and some foremost species in the past were not recorded contemporary studies whereas some are recorded later. General density of weeds slightly increased in time with a volunteer crop (lentil) in 2014, however, without volunteer crop, the density also declined by about half. Similarly, the density and frequency of dominant species decreased markedly from past to present except some exceptions. The most important reasons for this change are increased use of herbicides and the change of the regional alternation system. It should be noted that biodiversity loss is lower than comparing to the developed world and there is a chance to conserve this through employing sustainable methods. Furthermore, problems related to weed identification were discussed using data from these surveys.