Immunodetection and immunolocalization of globulin storage proteins during zygotic and somatic embryo development in Zea mays

Globulins (GLB) are storage proteins that accumulate to high levels during zygotic embryo development of Zea mays L. We visualized the distribution of GLB during zygotic embryo development by immunolabelling of polyethylene glycol sections with a GLB-specific antiserum and a fluorescent secondary antibody. In sections of embryos at 10 days after pollimation (DAP), GLB were detected in the scutellar node only. Sections of embryos of 17 DAP showed, besides the presence of GLB in the scutellar node, the presence of a low amount of GLB in the coleoptile and the leaf primordia. In 30-DAP embryos GLB were localized in the root, the coleorhiza, the leaf primordia, the coleoptile and in all cells of the scutellum with the exception of the epidermis and the pro-vascular tissues. The subcellular location of GLB was visualized by immunolabelling of ultrathin sections with anti-GLB and a gold-conjugated secondary antibody. Scutellum cells and root cortex cells of 30-DAP embryos were packed with protein storage vacuoles (PSV), which differed in electron density. GLB were either evenly distributed throughout the PSV or were localized in electron-dense inclusions within the PSV. SDS-PAGE and immunoblot analysis of total protein extracts indicated the presence of a low amount of the GLB1 processing intermediate proGLB1' in globular as well as mature somatic embryos. After maturation on an ABA-containing medium, somatic embryos showed the additional presence of the next GLB1 processing intermediate GLB1'. By immuno-electron microscopy it was possible to localize GLB in globular deposits in PSV in scutellum cells of these somatic embryos.     

The Zn polymorphic analogues of the [Fe(PM–PEA)2(NCS)2] spin-transition compound

We have studied the peculiarities of complex [Zn(PM–PEA)₂(NCS)₂], which presents large void cavities. As powder it does not show solvent inclusion, while as single crystals we have evidenced the existence of various polymorphs, with and without solvent inclusion. These results are preliminary results for the comprehension of the behaviour of mixed [Fe_xZn_1?x(PM–PEA)₂(NCS)₂], where Zn has been used to decrease the cooperative interactions between Fe atoms and check the effects on the wide hysteresis reported for this compound.     

Effects of species and habitat positional errors on the performance and interpretation of species distribution models

Aim A key assumption in species distribution modelling is that both species and environmental data layers contain no positional errors, yet this will rarely be true. This study assesses the effect of introduced positional errors on the performance and interpretation of species distribution models. Location Baixo Alentejo region of Portugal. Methods Data on steppe bird occurrence were collected using a random stratified sampling design on a 1‐km² pixel grid. Environmental data were sourced from satellite imagery and digital maps. Error was deliberately introduced into the species data as shifts in a random direction of 0–1, 2–3, 4–5 and 0–5 pixels. Whole habitat layers were shifted by 1 pixel to cause mis‐registration, and the cumulative effect of one to three shifted layers investigated. Distribution models were built for three species using three algorithms with three replicates. Test models were compared with controls without errors. Results Positional errors in the species data led to a drop in model performance (larger errors having larger effects – typically up to 10% drop in area under the curve on average), although not enough for models to be rejected. Model interpretation was more severely affected with inconsistencies in the contributing variables. Errors in the habitat layers had similar although lesser effects. Main conclusions Models with species positional errors are hard to detect, often statistically good, ecologically plausible and useful for prediction, but interpreting them is dangerous. Mis‐registered habitat layers produce smaller effects probably because shifting entire layers does not break down the correlation structure to the same extent as random shifts in individual species observations. Spatial autocorrelation in the habitat layers may protect against species positional errors to some extent but the relationship is complex and requires further work. The key recommendation must be that positional errors should be minimised through careful field design and data processing.     

Achieving bilateral symmetry during vertebrate limb development

While the various internal organs of vertebrates display many obvious left–right asymmetries in their location and/or morphology, external features exhibit a high degree of bilateral symmetry. How this external bilateral symmetry is established during development is largely unknown. In this review, we explore several mechanisms, in place during development, that regulate the final size of the limb. These mechanisms rely on the presence of positive signaling feedback loops during limb bud growth. Through the activity of these signaling loops and their eventual breakdown when the limb bud has reached a certain size, bilateral symmetry can be achieved.     

A comparison between a new model and current models for estimating trunk segment inertial parameters

Modeling of the body segments to estimate segment inertial parameters is required in the kinetic analysis of human motion. A new geometric model for the trunk has been developed that uses various cross-sectional shapes to estimate segment volume and adopts a non-uniform density function that is gender-specific. The goal of this study was to test the accuracy of the new model for estimating the trunk's inertial parameters by comparing it to the more current models used in biomechanical research. Trunk inertial parameters estimated from dual X-ray absorptiometry (DXA) were used as the standard. Twenty-five female and 24 male college-aged participants were recruited for the study. Comparisons of the new model to the accepted models were accomplished by determining the error between the models’ trunk inertial estimates and that from DXA. Results showed that the new model was more accurate across all inertial estimates than the other models. The new model had errors within 6.0% for both genders, whereas the other models had higher average errors ranging from 10% to over 50% and were much more inconsistent between the genders. In addition, there was little consistency in the level of accuracy for the other models when estimating the different inertial parameters. These results suggest that the new model provides more accurate and consistent trunk inertial estimates than the other models for both female and male college-aged individuals. However, similar studies need to be performed using other populations, such as elderly or individuals from a distinct morphology (e.g. obese). In addition, the effect of using different models on the outcome of kinetic parameters, such as joint moments and forces needs to be assessed.