Gibberellic acid effects on protein pattern, hydrolytic enzyme activities and ionic uptake during germination of Vicia faba in sea water

The germination and water uptake of Vicia faba seeds were suppressed in response to the treatments with the different concentrations of sea water (5%, 25% and 50%). The following parameters were increased: the osmotic potential, Na+, Cl, proline and protease activity. While K+, K+/Na+ ratio, Ca2+, amylase activity and total soluble sugars were decreased. Gibberellic acid treatments to the seeds counteracted the harmful effect which were induced by sea water treatments. In turn the germination percentage, water uptake, K+, K+/Na+ ratio, Ca2+, total soluble sugars, a-amylase and protease activities were increased, while Na+, Cl, and proline were decreased. The changes in protein banding pattern in Vicia faba germinated seeds in sea water were investigated. Salinization induced de novo synthesis of some salt responsive proteins. The salt responsive proteins might be osmotin (M wt 23.39 and 26.86 KDa), dehydrin (36.79 and 40.63 KDa) and ubiquitin (8.81 KDa) which were apparent in Vicia faba seeds. The seeds priming soaking in GA and germinated in sea water induced de novo synthesis of some responsive proteins. This indicated that gibberellic acid had a synergistic effect on the induction of the salt gene which is responsible for the synthesis of the mentioned proteins

Diagnostic efficacy of monoclonal antibody based sandwich enzyme linked immunosorbent assay (ELISA) for detection of Fasciola gigantica excretory/secretory antigens in both serum and stool

<p>Abstract</p> <p>Background</p> <p>This research was carried out to develop a reliable monoclonal antibody (MoAb)-based sandwich enzyme linked immunosorbent assay (ELISA) for the diagnosis of active <it>Fasciola gigantica </it>infection in both serum and stool for comparative purposes.</p> <p>Methods</p> <p>From a panel of MoAbs raised against <it>F. gigantica </it>excretory/secretory antigens (ES Ags), a pair (12B/11D/3F and 10A/9D/10G) was chosen due to its high reactivity and strict specificity to <it>F. gigantica </it>antigen by indirect ELISA.</p> <p>Results</p> <p>The two MoAbs were of the IgG₁and IgG_2asubclasses, respectively. Using SDS-PAGE and EITB, the selected MoAbs recognized 83, 64, 45 and 26 kDa bands of ES Ags. The lower detection limit of ELISA assay was 3 ng/ml. In stool, the sensitivity, specificity and diagnostic efficacy of ELISA was 96%, 98.2 and 97.1%; while in serum they were 94%, 94.6% and 94.3%, respectively. Moreover, a positive correlation was found between ova count in stool of <it>F. gigantica </it>infected patients and the OD readings of ELISA in both stool and serum samples (<it>r </it>= 0.730, p < 0.01 and r = 0.608; p < 0.01, respectively).</p> <p>Conclusions</p> <p>These data showed that the use of MoAb-based sandwich ELISA for the detection of <it>F. gigantica </it>coproantigens in stool specimens was superior to serum samples; it provides a highly efficient, non-invasive technique for the diagnosis of active <it>F. gigantica </it>infection.</p

Univariate and Multivariate Double Slash Distribution: Properties and Application

In this paper, we introduce an extension for the slash distribution, called double slash distribution which, is a heavy tailed compared to slash distribution. The univariate and multivariate forms for the proposed model are proposed. Moreover, moments and the invariant property under linear transformations are discussed. A simulation study is performed to investigate asymptotically the bias properties of the estimators. Finally, a real data application is analyzed to obtain the flexibility of the new model

Mixture of Exponentiated Generalized Weibull-Gompertz Distribution and its Applications in Reliability

This paper introduces studies on mixture of two exponentiated generalized Weibull-Gompertz distribution (MEGWGD) by using mixing parameter p where 0 \u3c p \u3c 1, which generalizes a lot of distributions. Several properties of the MEGWGD such as reversed (hazard) function, moments, maximum likelihood estimation, mean residual (past) lifetime, MTTF, MTTR, MTBF, maintainability, availability and order statistics are studied in this paper. It is observed that the present distribution can provide a better fit than some other very well-known distributions

Exponentiated Generalized Weibull-Gompertz Distribution with Application in Survival Analysis

In this paper, a new model based on exponentiated generalized Weibull-Gompertz distribution is introduced. This new model is both useful and practical in many fields such as reliability, life testing, agriculture, industry, energy, human mortality, medicine and the world of the seas and oceans. Some statistical and reliability properties of this model are presented including moments, (reversed) hazard rate, mean residual life and mean inactivity time functions, among others. Finally, applications to real data sets are given to show the flexibility based on complete sample