Permeability of three boreal forest landscape types to bird movements as determined from experimental translocations

Efficient dispersal is critical to metapopulation persistence in fragmented landscapes. Yet, this phenomenon is poorly understood because it is difficult to study. We used an indirect method, experimental translocation, to investigate the permeability of three landscape types of the boreal mixedwood forest region of Canada to movements of a forest specialist, the ovenbird (Seiurus aurocapillus), and a habitat generalist, the white-throated sparrow (Zonotrichia albicollis). We captured a total of 148 males (84 ovenbirds; 64 sparrows), which were then colour banded and displaced ca. 2 km away from their territories in landscapes fragmented either by agriculture, timber harvesting, or natural disturbances. We measured the probability and time of return of individuals to their territories during the 48 h following their translocation. We examined the relative influence of landscape type, territory quality, and age, physical characteristics, and pairing status of individuals on their probability or time of return. For both species, landscape type was the only significant predictor of the probability and time of return of individuals. For the ovenbird, the agricultural landscape was least permeable, followed by the harvested and naturally patchy landscapes. The agricultural and harvested landscapes were equally permeable to white-throated sparrow movements, and the naturally patchy landscape was the least permeable. Permeability to ovenbird movements increased with the proportion of forest in the landscape. Because matrix type and the proportion and configuration of forest differed significantly among the three landscape types, we could not determine their relative influence on landscape permeability to bird movements. However, our results do indicate that even a long-distance migrant such as the ovenbird can move more rapidly and efficiently across the landscape as the proportion of suitable (or permeable) habitat increases.     

A surface acoustic wave sensor functionalized with a polypyrrole molecularly imprinted polymer for selective dopamine detection

A surface acoustic wave sensor operating at 104 MHz and functionalized with a polypyrrole molecularly imprinted polymer has been designed for selective detection of dopamine (DA). Optimization of pyrrole/DA ratio, polymerization and immersion times permitted to obtain a highly selective sensor, which has a sensitivity of 0.55°/mM (≈550 Hz/mM) and a detection limit of ≈ 10 nM. Morphology and related roughness parameters of molecularly imprinted polymer surfaces, before and after extraction of DA, as well as that of the non imprinted polymer were characterized by atomic force microscopy. The developed chemosensor selectively recognized dopamine over the structurally similar compound 4‐hydroxyphenethylamine (referred as tyramine), or ascorbic acid,which co‐exists with DA in body fluids at a much higher concentration. Selectivity tests were also carried out with dihydroxybenzene, for which an unexpected phase variation of order of 75% of the DA one was observed. Quantum chemical calculations, based on the density functional theory, were carried out to determine the nature of interactions between each analyte and the PPy matrix and the DA imprinted PPy polypyrrole sensing layer in order to account for the important phase variation observed during dihydroxybenzene injection. Copyright © 2015 John Wiley & Sons, Ltd.     

Purification and identification of sperm surface proteins and changes during epididymal maturation

Surface membrane proteins have a key role in the sequential interactions between spermatozoa and oocytes. The aim of this study was to characterize protein changes occurring during post-testicular differentiation using a new overall approach to study surface membrane proteins of spermatozoa. A dedicated protocol based on specific purification of surface membrane proteins labeled with sulfo-NHS-SS-biotin was developed for this purpose. Appropriate gel electrophoresis separation and purification methods combined with standard proteomic methods were then used to identify and quantify surface membrane proteins from immature and mature spermatozoa. Membrane-associated proteins were discriminated from integral membrane proteins by differential solubilization. Protein regionalization on the spermatozoon surface was achieved by comparative analysis of the surface protein extracts from the entire spermatozoa and from periacrosomal sperm plasma membranes. Identification of several known proteins and of new proteins related to the process of epididymal maturation showed the reliability of this protocol for specific purification of a subproteome and identification of new sperm membrane proteins. This approach opens up a new area in the search for male fertility markers.     

Land snail diversity in the monsoon tropics of Northern Australia: revision of the genus Exiligada Iredale, 1939 (Mollusca: Pulmonata: Camaenidae), with description of 13 new species

Vast parts of the monsoon tropics of Australia feature semi‐arid habitats, which are generally thought to harbour a depauperate land snail fauna as compared to the mesic continental fringes, in particular the Australian wet tropics. However, our knowledge of land snails inhabiting these often remote environments is still very patchy. In order to improve the understanding of land snail diversity in the monsoon tropics, we revised the camaenid land snail genus Exiligada based on comprehensive collections, undertaken by use of helicopters on remote limestone outcrops in the Northern Territory and in Western Australia. Based on comparative analyses of shell and genital morphology and patterns of molecular differentiation, we recognize 15 species within Exiligada, 13 of which are newly described. In addition, we suggest a revised delimitation of the type species Exiligada negriensis, as compared to the latest available revision, by removing Exiligada qualis from its synonymy and recognizing it as a distinct species. A key for species identification is also provided. Molecular phylogenetic analyses strongly supported the monophyly of Exiligada with respect to other confamilial genera known to occur in the same geographical region. Most Exiligada species are narrowly endemic to restricted limestone outcrops that cover areas with a diameter of about 20 to 150 km. Within the distributional range of Exiligada, the ranges of up to seven species overlap but we never found more than three species to occur in sympatry at a given sampling site. We propose that species originated by allopatric differentiation, followed by secondary range expansion, leading to sympatric distributions. Our study confirms that less complex rock habitats in more xeric environments support no more than three sympatric species, this being likely to be a result of ecological exclusion. © 2012 The Linnean Society of London, Zoological Journal of the Linnean Society, 2012, 166 , 689–722.     

Impact of tannic acid on blood pressure,oxidative stress and urinary parameters in L-NNA-induced hypertensive rats

Hypertension is a major health problem with increasing prevalence around the world. Tannic acid is water-soluble polyphenol that is present in tea, green tea, coffee, red wine, nuts, fruits and many plant foods. It has been reported to serve as an antioxidant or a pro-oxidant depending on the type of cells and its concentration. The purpose of our study was to evaluate the effect of tannic acid on systolic blood pressure, oxidative stress and some urinary parameters in the rat model of essential hypertension. Blood pressures of all rats were measured using the tail-cuff method. The nitric oxide synthase inhibitor N (omega)-nitro-L-arginine was administered orally at a dose of 0.5 g/l/day for 15 days to rats in order to create an animal model of hypertension. Tannic acid was intraperitoneally injected at a dose of 50 mg/kg for 15 days. Superoxide dismutase, catalase activity and the concentration of malondialdehyde (MDA) were determined in blood plasma and homogenates of heart, liver and kidney. In order to evaluate renal functions, urine pH, urine volume, urine creatine, uric acid, and urea nitrogen values were measured. Compared with the hypertension group, a decrease in MDA concentrations of heart tissue (p < 0.01), urea nitrogen values (p < 0.01) and urine volumes (p < 0.001) were established in hypertension + tannic acid group. There was also a decrease in blood pressure values (20th and 30th days) of this group, but there was no a statistical difference according to hypertension group. The findings of our research show the effect of tannic acid in lowering blood pressure in hypertensive rats.     

Generalized estimating equations approach for spatial lattice data: A case study in adoption of improved maize varieties in Mozambique

Generalized estimating equations (GEE) are extension of generalized linear models (GLM) widely applied in longitudinal data analysis. GEE are also applied in spatial data analysis using geostatistics methods. In this paper, we advocate application of GEE for spatial lattice data by modeling the spatial working correlation matrix using the Moran's index and the spatial weight matrix. We present theoretical developments and results for simulated and actual data as well. For the former case, 1,000 samples of a random variable (response variable) defined in (0, 1) interval were generated using different values of the Moran's index. In addition, 1,000 samples of a binary and a continuous variable were also randomly generated as covariates. In each sample, three structures of spatial working correlation matrices were used while modeling: The independent, autoregressive, and the Toeplitz structure. Two measures were used to evaluate the performance of each of the spatial working correlation structures: the asymptotic relative efficiency and the working correlation selection criterions. The results showed that both measures indicated that the autoregressive spatial working correlation matrix proposed in this paper presents the best performance in general. For the actual data case, the proportion of small farmers who used improved maize varieties was considered as the response variable and a set of nine variables were used as covariates. Two structures of spatial working correlation matrices were used and the results showed consistence with those obtained in the simulation study.