Boats, Pathways, and Aquatic Biological Invasions: Estimating Dispersal Potential with Gravity Models

Biological invaders can have dramatic effects on the environment and the economy. To most effectively manage these invaders, we should consider entire pathways, because multiple species are dispersed through the same vectors. In this paper, we use production-constrained gravity models to describe movement of recreational boaters between lakes – potentially the most important pathway of overland dispersal for many aquatic organisms. These models are advantageous because they require relatively easily acquired data, hence are relatively easy to build. We compare linear and non-linear gravity models and show that, despite their simplicity, they are able to capture important characteristics of the recreational boater pathway. To assess our model, we compared observed data based on creel surveys and mailed surveys of recreation boaters to the model output. Specifically, we evaluate four metrics of pathway characteristics: boater traffic to individual lakes, distances traveled to reach these lakes, Great Lakes usage and movement from the Great Lakes to inland waters. These factors will influence the propagule pressure (hence the probability of establishment of invasive populations) and the rate of spread across a landscape. The Great Lakes are of particular importance because they are a major entry point of non-indigenous species from other continents, hence will act as the origin for further spread across states. The non-linear model had the best fit between model output and empirical observations with r² =0.80, r² =0.35, r² =0.57, and r² =0.36 for the four metrics, respectively. For the distances traveled to individual lakes, r² improved from 0.35 to 0.76 after removal of an outlier. Our results suggest that we were able to capture distances traveled to most but not all lakes. Thus, we demonstrate that production-constrained gravity models will be generally useful for modeling invasion pathways between non-contiguous locations.     

PAX6 haplotypes are associated with high myopia in Han chinese

Background

The paired box 6 (PAX6) gene is considered as a master gene for eye development. Linkage of myopia to the PAX6 region on chromosome 11p13 was shown in several studies, but the results for association between myopia and PAX6 were inconsistent so far.

Methodology/Principal Findings

We genotyped 16 single nucleotide polymorphisms (SNPs) in the PAX6 gene and its regulatory regions in an initial study for 300 high myopia cases and 300 controls (Group 1), and successfully replicated the positive results with another independent group of 299 high myopia cases and 299 controls (Group 2). Five SNPs were genotyped in the replication study. The spherical equivalent of subjects with high myopia was ≤−8.0 dioptres. The PLINK package was used for genetic data analysis. No association was found between each of the SNPs and high myopia. However, exhaustive sliding-window haplotype analysis highlighted an important role for rs12421026 because haplotypes containing this SNP were found to be associated with high myopia. The most significant results were given by the 4-SNP haplotype window consisting of rs2071754, rs3026393, rs1506 and rs12421026 (P = 3.54×10⁻¹⁰, 4.06×10⁻¹¹ and 1.56×10⁻¹⁸ for Group 1, Group 2 and Combined Group, respectively) and the 3-SNP haplotype window composed of rs3026393, rs1506 and rs12421026 (P = 5.48×10⁻¹⁰, 7.93×10⁻¹² and 6.28×10⁻²³ for the three respective groups). The results remained significant after correction for multiple comparisons by permutations. The associated haplotyes found in a previous study were also successfully replicated in this study.

Conclusions/Significance

PAX6 haplotypes are associated with susceptibility to the development of high myopia in Chinese. The PAX6 locus plays a role in high myopia.     

Concerning the presence and formation of ascorbic acid in yeasts

The selective, sensitive method of analysis of ascorbic acid by high performance liquid chromatography with electrochemical detection (HPLC/EC) has been used to determine the ascorbic acid content of cell extracts from yeasts grown in glucose-free medium, 0.3 M D-glucose, and 0.112 M L-galactono-1,4-lactone. Saccharomyces cerevisiae (strain G-25 and its tetraploid) and a commercial baker's yeast contained less than 2 μg ascorbic acid g^?1 wet wt. of cells when grown for 22 h in glucose-free medium. In 0.3 M D-glucose, only the commercial baker's yeast gave a slight increase (2–50 μg g^?1 wet wt. in 22 h). In 0.112 M L-galactono-1,4-lactone, all three strains produced ascorbic acid (372–587 μg g^?1 wet wt. in 22 h). Lypomyces starkeyi, a species previously reported to contain a significant amount of ascorbic acid (Heick et al., Can. J. Biochem., 47 (1972) 752), was essentially devoid of ascorbic acid under all three conditions of incubation although it did contain an HPLC/EC reactive peak (R_T = 0.87 relative to ascorbic acid) that was readily oxidized by charcoal in the presence of oxygen. The identity of this new compound remains to be determined.     

The role of carbohydrate moieties of cholecystokinin receptors in cholecystokinin octapeptide binding: alteration of binding data by specific lectins

Cholecystokinin (CCK) receptors on rat pancreatic acini have been demonstrated to be glycoproteins. In order to study whether their carbohydrate moieties play a role in ligand binding, membrane preparations (adjusted to 0.2 mg protein me) were incubated with 20 pM 125-I-CCK octapeptide (125I-CCK8) for 4 h at 30 degrees C in the presence of lectins with different sugar specificities. Concanavalin A, soy-bean agglutinin, and peanut agglutinin in concentrations up to 1 mM did not alter specific 125I-CCK8 binding. Ulex europeus lectin I showed a dose-dependent enhancement of CCK binding up to 150% of controls at a concentration of 1 mM. Wheat-germ agglutinin (WGA) was the only lectin found to have an inhibitory effect. Inhibition was dose-dependent, with maximal reduction attained at 42 nM, but CCK binding was only partially inhibited to 66.2 +/- 4.4%. Inhibition by WGA was prevented by the presence of N-acetyl-D-glucosamine or N,N',N"-triacetylchitotriose, sugars that are specific for WGA. The inhibitory effect of WGA was not due to an increase in non-specific binding, increased CCK degradation, or CCK binding to WGA. Binding data indicated that the presence of WGA resulted in a decrease in receptor affinity (Kd = 567 +/- 191 v. 299 +/- 50 pM). No significant change in the number of available binding sites was observed. This suggests that WGA is not binding to the active binding site. It is conceivable that binding of WGA to N-acetyl-D-glucosamine or its polymers can lead to a conformational change in the receptor protein, and that this carbohydrate moiety is essential for optimal receptor-ligand interaction.     

Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation

Multi-atlas segmentation has been widely used to segment various anatomical structures. The success of this technique partly relies on the selection of atlases that are best mapped to a new target image after registration. Recently, manifold learning has been proposed as a method for atlas selection. Each manifold learning technique seeks to optimize a unique objective function. Therefore, different techniques produce different embeddings even when applied to the same data set. Previous studies used a single technique in their method and gave no reason for the choice of the manifold learning technique employed nor the theoretical grounds for the choice of the manifold parameters. In this study, we compare side-by-side the results given by 3 manifold learning techniques (Isomap, Laplacian Eigenmaps and Locally Linear Embedding) on the same data set. We assess the ability of those 3 different techniques to select the best atlases to combine in the framework of multi-atlas segmentation. First, a leave-one-out experiment is used to optimize our method on a set of 110 manually segmented atlases of hippocampi and find the manifold learning technique and associated manifold parameters that give the best segmentation accuracy. Then, the optimal parameters are used to automatically segment 30 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). For our dataset, the selection of atlases with Locally Linear Embedding gives the best results. Our findings show that selection of atlases with manifold learning leads to segmentation accuracy close to or significantly higher than the state-of-the-art method and that accuracy can be increased by fine tuning the manifold learning process.     

BMI, body composition, and physical functioning in older adults

Objective: Recent studies have emphasized the importance of muscle and fat mass in relation to age‐related decline in physical function. Our objective was to determine whether BMI, as a surrogate measurement of fat mass, may be used as a measure of risk factor for physical functioning in older adults and whether body composition measurements confer any advantage over BMI. Research Methods and Procedures: Four thousand men and women ≥65 years of age living in the community, stratified by age and sex, underwent the following measurements: body composition by DXA; grip strength; and timed 6‐m walk. Subjects were grouped into five categories of BMI using Asian criteria for health‐related risks, and between‐group differences in physical performance measures and body composition were analyzed using analysis of covariance adjusting for age, physical activity level, and presence of chronic disease. Results: Subjects in the two obese categories had a significantly greater number of instrumental activities of daily living (IADL) impairments compared with the underweight and normal‐weight groups. Those with BMI ≥30 kg/m² had the worst walking performance, and the groups with BMI in the normal and overweight range had optimal performance. Fat mass, but not appendicular muscle mass, was associated with walking speed after adjusting for BMI. Discussion: Fat mass seems to be a more important factor than appendicular muscle mass in determining walking speed in community‐living older adults, even after adjusting for BMI.     

Penetratin and related cell-penetrating cationic peptides can translocate across lipid bilayers in the presence of a transbilayer potential

Fluorescent-labeled derivatives of the Antennapedia-derived cell-penetating peptide penetratin, and of the simpler but similarly charged peptides R(6)GC-NH(2) and K(6)GC-NH(2), are shown to be able to translocate into large unilamellar lipid vesicles in the presence of a transbilayer potential (inside negative). Vesicles with diverse lipid compositions, and combining physiological proportions of neutral and anionic lipids, are able to support substantial potential-dependent uptake of all three cationic peptides. The efficiency of peptide uptake under these conditions is strongly modulated by the vesicle lipid composition, in a manner that suggests that more than one mechanism of peptide uptake may operate in different systems. Remarkably, peptide uptake is accompanied by only minor perturbations of the overall barrier function of the lipid bilayer, as assessed by assays of vesicle leakiness under the same conditions. Fluorescence microscopy of living CV-1 and HeLa cells incubated with the labeled peptides shows that the peptides accumulate in peripheral vesicular structures at early times of incubation, consistent with an initial endosomal localization as recently reported, but gradually accumulate in the cytoplasm and nucleus during more extended incubations (several hours). Our findings indicate that these relatively hydrophilic, polybasic cell-penetrating peptides can translocate through lipid bilayers by a potential- and composition-dependent pathway that causes only minimal perturbation to the overall integrity and barrier function of the bilayer.     

Fabrication of cell-containing gel modules to assemble modular tissue-engineered constructs [corrected

This paper describes a protocol to encapsulate cells in sub-millimeter-sized cylindrical collagen modules and to assemble these modules into a tissue-engineered construct within a continuous loop flow circuit. Modules are fabricated by gelling a solution of collagen, that contains suspended cells, within the lumen of a small-bore polyethylene tube. The tubing is then cut into short lengths using an automated cutter and gently vortexed to remove the cell-containing collagen modules from the tubing lumen. Modules are then randomly assembled into a modular construct by pipetting a suspension of modules into a larger tube that is positioned within a continuous flow circuit. A range of cylinder aspect ratios are achievable; therefore, this method could potentially be used to create short discs or, alternatively, long threads of soft gels, with or without encapsulated cells, for a variety of tissue-engineering applications. Module fabrication requires 1 d and assembly of a modular construct requires 2 h.     

Moderate Alcohol Use and Cardiovascular Disease from Mendelian Randomization

Background

Observational studies show moderate alcohol use negatively associated with ischemic heart disease (IHD) and cardiovascular disease (CVD). However, healthier attributes among moderate users compared to never users may confound the apparent association. A potentially less biased way to examine the association is Mendelian randomization, using alcohol metabolizing genes which influence alcohol use.

Methods

We used instrumental variable analysis with aldehyde dehydrogenase 2 (ALDH2) genotypes (AA/GA/GG) as instrumental variables for alcohol use to examine the association of alcohol use (10 g ethanol/day) with CVD risk factors (blood pressure, lipids and glucose) and morbidity (self-reported IHD and CVD) among men in the Guangzhou Biobank Cohort Study.

Results

ALDH2 genotypes were a credible instrument for alcohol use (F-statistic 74.6). Alcohol was positively associated with HDL-cholesterol (0.05 mmol/L per alcohol unit, 95% confidence interval (CI) 0.02 to 0.08) and diastolic blood pressure (1.15 mmHg, 95% CI 0.23 to 2.07) but not with systolic blood pressure (1.00 mmHg, 95% CI -0.74 to 2.74), LDL-cholesterol (0.03 mmol/L, 95% CI -0.03 to 0.08), log transformed triglycerides (0.03 mmol/L, 95% CI -0.01 to 0.08) or log transformed fasting glucose (0.01 mmol/L, 95% CI -0.006 to 0.03), self-reported CVD (odds ratio (OR) 0.98, 95% CI 0.76 to 1.27) or self-reported IHD (OR 1.10, 95% CI 0.83 to 1.45).

Conclusion

Low to moderate alcohol use among men had the expected effects on most CVD risk factors but not fasting glucose. Larger studies are needed to confirm the null associations with IHD, CVD and fasting glucose.     

The mammals of northern Melanesia: speciation,ecology, and biogeography

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