Diet-derived vicilins detected in eggs laid by a double-mated female Callosobruchus maculatus originate from nuptial gifts donated by both male partners

The eggshell and the cement that attaches the eggs of the seed-beetle Callosobruchus maculatus to the seeds of cowpea (Vigna unguiculata) contain vicilins, the main storage protein found in seeds. These proteins are derived from both males and females, which originally sequester them during the larval phase from their seed hosts. In this test, females received vicilin from different males during mating as a seminal nuptial gift, and transmitted this sequestered blend of proteins to the eggs. The presence of vicilin in the cement and eggshell was demonstrated by light microscopy and Western blotting. Quantification using ELISA showed that the concentration of vicilin from seminal vesicles of a virgin male is approximately double that measured following the first copula to a virgin female, suggesting that the investment of vicilin by the males is very important. This is the first demonstration showing that at least two different males can make a direct contribution of a sequestered protein which is used in oogenesis.     

An Introduction to Generalized Linear Models

Particle size is commonly used to determine quality and predict performance of particle systems. We consider particle size distributions inferred from a material sample using a fixed number of sieves with progressively smaller size openings, where the weight of the particles in each size interval is measured. In this article, we propose Bayes analyses for data from particle sieving studies based on parsimoniously parameterized multivariate normal approximate models for vectors of log weight fraction ratios. Additionally, we observe that the basic approach extends directly to modeling mixture contexts, which provides model flexibility and is a very natural extension when physical mixtures of materials with fundamentally different particle sizes are encountered. We also consider hierarchical modeling, where a single process produces lots of particles and the data available are (replicated) weight fraction vectors from different lots. Supplementary materials for this article are available online.     

Flow patterns and gas fractions of air–oil and air–water flow in pipe bends

An experimental study of two-phase flow in a 180° pipe bends with 0.016, 0.022 and 0.03 m and the curvature radii of 0.11, 0.154, 0.21 m, respectively have been carried out. The experiments were conducted under the input superficial phase velocity: air from 0.038 to 5.4 m s⁻¹, water from 0.018 to 0.92 m s⁻¹ and oil from 0.014 to 0.92 m s⁻¹. The conducted research involved the observation of the forming flow patterns and determination of average volumetric in situ gas fraction. On the basis of the results of experimental flow map was created for gas–liquid flow and a method of calculating gas fractions was established.     

Critical parameters in cost-effective alkaline extraction for high protein yield from leaves

Leaves are potential resources for feed or food, but their applications are limited due to a high proportion of insoluble protein and inefficient processing. To overcome these problems, parameters of alkaline extraction were evaluated using green tea residue (GTR). Protein extraction could be maximized to 95% of total protein, and, after precipitation by pH adjustment to 3.5, 85% of extracted protein was recovered with a purity of 52%. Temperature, NaOH amount, and extraction time are the protein yield determining parameters, while pH and volume of extraction liquid are critical parameters for production cost. The cost of energy and chemicals for producing 1 t GTR proteins is minimized to 102€, and its nutritional value is comparable to soybean protein. Furthermore, this technology was successfully applied to other sources of biomass and has potential to be used as a part of an integrated bio-refinery process.     

Specificity of a novel TaqMan PCR method for detection of poultry DNA

After the Bovine Spongiform Encephalopathy (BSE) crisis emerged in 1985/1986, all processed animal proteins (PAPs) were finally banned for use in animal feed in the European Union. To partially lift this feed ban, paths for re-introduction of PAPs from species other than ruminants e.g. pig and poultry, are described in the Transmissible Spongiform Encephalopathies (TSE) Roadmap 2. Cannibalism, however, is still not allowed. Specific detection methods for pig and poultry meal and PAPs are prerequisites for reintroduction of pig and poultry processed animal proteins into animal feed. Developing a sensitive PCR method that specifically detects the taxonomically diverse and therefore artificial group ‘poultry’ and that does not detect other birds at the same time is a challenge. Here, a novel TaqMan PCR method for poultry detection is presented. The specificity of the poultry method against target and non-target species has been extensively investigated. The efficiency, linearity and sensitivity was tested using dilution series of chicken, turkey, duck and goose DNA isolated from meat and autoclaved meat as a model system for PAPs.     

Modeling iron-catecholates binding to NGAL protein

Neutrophil gelatinase associated lipocalin (NGAL) protein is attracting a great interest because of its antibacterial properties played upon modulating iron content in competition against iron acquisition processes developed by pathogenic bacteria that bind selective ferric iron chelators (siderophores). Besides its known high affinity to enterobactin, the most important siderophore, it has been recently shown that NGAL is able to bind Fe(III) coordinated by catechols. The selective binding of Fe(III)-catechol ligands to NGAL is here studied by using iron coordination structures with one, two, and three catecholate ligands. By means of a computational approach that consists of B3LYP/6-311G(d,p) quantum calculations for geometries, electron properties and electrostatic potentials of ligands, protein–ligand flexible docking calculations, analyses of protein–ligand interfaces, and Poisson–Boltzmann electrostatic potentials for proteins, we study the binding of iron catecholate ligands to NGAL as a central member of the lipocalin family of proteins. This approach provides a modeling basis for exploring in silico the selective binding of iron catecholates ligands giving a detailed picture of their interactions in terms of electrostatic effects and a network of hydrogen bonds in the protein binding pocket.