红海藻多糖的提取和结构研究

本文报道了从红海藻中分离提取出水溶中性多糖,经纯化和鉴定得单—木聚糖,其一级结构测定结果表明,此多糖为直链结构,以β(1—3)木糖残基连接.构象研究结果表明,该多糖具有三股螺旋结构.     

型糖尿病患者红细胞膜中性糖、氨基糖及唾液酸含量的改变

 为阐明Ⅱ型糖尿病（ Ｎ Ｉ Ｄ Ｄ Ｍ ）患者红细胞膜的化学组成在非酶糖基化（ Ｎ Ｅ Ｇ）影响下发生的变化,采用毛细管气相色谱法和分光光度法测定了 ２０ 名正常人和 １９ 例Ⅱ型糖尿病患者红细胞膜的 ４ 种结合中性糖与 ２ 种氨基糖和唾液酸含量以及 ４ 种寡糖链上的末端中性糖和唾液酸含量．结果表明, Ｎ Ｉ Ｄ Ｄ Ｍ 患者红细胞膜几种结合单糖（ Ｇｌｃ, Ｆｕｃ, Ｇｌｃ Ａ, Ｇａｌ Ａ）与游离单糖（ Ｇｌｃ, Ｇａｌ, Ｍａｎ, Ｆｕｃ）含量以及唾液酸含量均较正常对照组明显降低（ Ｐ＜ ００１ 或 ００５）．据此推测,由于患者红细胞膜蛋白的重度糖基化导致某些膜结构蛋白的氧化损伤,细胞膜糖类含量的减少,可能是重度糖基化的继发后果．     

Function and regulation of the acid and neutral trehalases of Mucor rouxii

Two different trehalose-hydrolysing activities, known as acid or non-regulatory trehalases, and neutral or regulatory trehalases, have been recognised in a number of fungal species. The true role of these apparently redundant hydrolases remained obscure for many years. However, recent evidence suggests that neutral trehalases would be specialised in the mobilisation of cytosolic trehalose, while acid trehalases would only hydrolyse extracellular trehalose. Results obtained with Mucor rouxii, a Zygomycete initially thought to posses only neutral trehalase activity, reinforced this hypothesis. M. rouxii grows efficiently in trehalose as the sole carbon source. Trehalose-grown or carbon-starved cells exhibit a high trehalase activity of optimum pH 4.5, bound to the external surface of the cell wall, in contrast with the neutral (pH 6.5) trehalase, which occurs in the cytosol. Other differences between the neutral and the acid trehalases are the temperature optimum (35°C and 45°C, respectively) and thermal stability (half-life of 2.5 min and 12 min at 45°C, respectively). The neutral trehalase, but not the acid trehalase, is activated in vitro by cAMP-dependent phosphorylation, stimulated by Ca²⁺, and inhibited by EDTA. It shows maximal activity at germination and decreases as growth proceeds. In contrast the activity of the acid trehalase is totally repressed in glucose-grown cultures and increases upon exhaustion of the carbon source, and is strongly induced by extracellular trehalose.     

Assessing the scale-specific importance of niches and other spatial processes on beta diversity: a case study from a temperate forest

Niche processes and other spatial processes, such as dispersal, may simultaneously control beta diversity, yet their relative importance may shift across spatial and temporal scales. Although disentangling the relative importance of these processes has been a continuing methodological challenge, recent developments in multi-scale spatial and temporal modeling can now help ecologists estimate their scale-specific contributions. Here we present a statistical approach to (1) detect the presence of a space–time interaction on community composition and (2) estimate the scale-specific importance of environmental and spatial factors on beta diversity. To illustrate the applicability of this approach, we use a case study from a temperate forest understory where tree seedling abundances were monitored during a 9-year period at 40 permanent plots. We found no significant space–time interaction on tree seedling composition, which means that the spatial abundance patterns did not vary over the study period. However, for a given year the relative importance of niche processes and other spatial processes was found to be scale-specific. Tree seedling abundances were primarily controlled by a broad-scale environmental gradient, but within the confines of this gradient the finer scale patchiness was largely due to other spatial processes. This case study illustrates that these two sets of processes are not mutually exclusive and can affect abundance patterns in a scale-dependent manner. More importantly, the use of our methodology for future empirical studies should help in the merging of niche and neutral perspectives on beta diversity, an obvious next step for community ecology. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

A neutral model of edge effects

In this paper a spatially implicit neutral model for explaining the edge effects between habitats is proposed. To analyze this model we use two different approaches: a discrete approach that is based on the Master equation for a one step jump process and a continuous approach based on the approximation of the discrete jump process with the Kolmogorov-Fokker-Planck forward and backward equations. The discrete and continuous approaches are applied to analyze the species abundance distributions and the time to species extinction. Moreover, with the aid of the continuous approach a realistic classification of the behavior of species in local communities is developed. The species abundance dynamics at the edge between two distinct habitats is compared with those located in the homogeneous interior habitats using species abundance distributions and the first time to species extinction. We show that the structure of the links between local community and the metacommunity plays an important role on species persistence. Specifically, species at the edge between two distinct metacommunities have higher extinction rate than those in the interior habitats connected only to one metacommunity. Moreover, the same species might be persistent in the homogeneous interior habitat, but its probability of extinction from the edge local community could be very high.     

Neutral Models with Generalised Speciation

Hubbell’s neutral theory claims that ecological patterns such as species abundance distributions can be explained by a stochastic model based on simple assumptions. One of these assumptions, the point mutation assumption, states that every individual has the same probability to speciate. Etienne et al. have argued that other assumptions on the speciation process could be more realistic, for example, that every species has the same probability to speciate (Etienne, et al. in Oikos 116:241–258, 2007). They introduced a number of neutral community models with a different speciation process, and conjectured formulas for their stationary species abundance distribution. Here we study a generalised neutral community model, encompassing these modified models, and derive its stationary distribution, thus proving the conjectured formulas.     

Heterologous expression in Escherichia coli of Neurospora crassa neutral trehalase as an active enzyme

Neutral trehalase from Neurospora crassa was expressed in Escherichia coli as a polypeptide of 84 kDa in agreement with the theoretical size calculated from the corresponding cDNA. The recombinant neutral trehalase, purified by affinity chromatography exhibited a specific activity of 80–150 mU/mg protein. Optima of pH and temperature were 7.0 and 30 °C, respectively. The enzyme was absolutely specific for trehalose, and was quite sensitive to incubation at 40 °C. The recombinant enzyme was totally dependent on calcium, and was inhibited by ATP, copper, silver, aluminium and cobalt. K_M was 42 mM, and V_max was 30.6 nmol of glucose/min. The recombinant protein was phosphorylated by cAMP-dependent protein kinase, but not significantly activated. Immunoblotting with polyclonal antiserum prepared against the recombinant protein showed that neutral trehalase protein levels increased during exponential phase of N. crassa growth and dropped at the stationary phase. This is the first report of a neutral trehalase produced in E. coli with similar biochemical properties described for fungi native neutral trehalases, including calcium-dependence.     

Speciation-rate dependence in species–area relationships

The general tendency for species number (S) to increase with sampled area (A) constitutes one of the most robust empirical laws of ecology, quantified by species–area relationships (SAR). In many ecosystems, SAR curves display a power-law dependence, S∝A^z. The exponent z is always less than one but shows significant variation in different ecosystems. We study the multitype voter model as one of the simplest models able to reproduce SAR similar to those observed in real ecosystems in terms of basic ecological processes such as birth, dispersal and speciation. Within the model, the species–area exponent z depends on the dimensionless speciation rate ν, even though the detailed dependence is still matter of controversy. We present extensive numerical simulations in a broad range of speciation rates from ν=10^-3 down to ν=10^-11, where the model reproduces values of the exponent observed in nature. In particular, we show that the inverse of the species–area exponent linearly depends on the logarithm of ν. Further, we compare the model outcomes with field data collected from previous studies, for which we separate the effect of the speciation rate from that of the different species lifespans. We find a good linear relationship between inverse exponents and logarithm of species lifespans. However, the slope sets bounds on the speciation rates that can hardly be justified on evolutionary basis, suggesting that additional effects should be taken into account to consistently interpret the observed exponents.     

Plant species diversity and environmental heterogeneity: spatial scale and competing hypotheses

Questions: What is the observed relationship between plant species diversity and spatial environmental heterogeneity? Does the relationship scale predictably with sample plot size? What are the relative contributions to diversity patterns of variables linked to productivity or available energy compared to those corresponding to spatial heterogeneity? Methods: Observational and experimental studies that quantified relationships between plant species richness and within‐sample spatial environmental heterogeneity were reviewed. Effect size in experimental studies was quantified as the standardized mean difference between control (homogeneous) and heterogeneous treatments. For observational studies, effect sizes in individual studies were examined graphically across a gradient of plot size (focal scale). Relative contributions of variables representing spatial heterogeneity were compared to those representing available energy using a response ratio. Results: Forty‐one observational and 11 experimental studies quantified plant species diversity and spatial environmental heterogeneity. Observational studies reported positive species diversity‐spatial heterogeneity correlations at all points across a plot size gradient from ～1.0 × 10^?1 to ～1.0 × 10¹¹ m², although many studies reported spatial heterogeneity variables with no significant relationships to species diversity. The cross‐study effect size in experimental studies was not significantly different from zero. Available energy variables explained consistently more of the variance in species richness than spatial heterogeneity variables, especially at the smallest and largest plot sizes. Main conclusions: Species diversity was not related to spatial heterogeneity in a way predictable by plot size. Positive heterogeneity‐diversity relationships were common, confirming the importance of niche differentiation in species diversity patterns, but future studies examining a range of spatial scales in the same system are required to determine the role of dispersal and available energy in these patterns.     

Two neutral variants segregating at the gametophytic self‐incompatibility locus of European pear (Pyrus communis L.) (Rosaceae,Pyrinae)

Extensive survey of the S‐locus diversity of plant species with RNase‐based gametophytic self‐incompatibility has failed to identify neutral variation segregating within S‐allele specificities. Although this is the expected result according to population genetics theory, it conflicts with recent models of S‐allele evolution, which suggest that new specificities might arise by a continuous process of subtle changes that individually do not alter the specificity of the S‐genes, but whose cumulative effects result in new S‐allele functions. Genomic analysis of S‐RNase sequences associated with the S₁₀₄ (=S₄, =S_b) allele of European pear (Pyrus communis L.) cultivars yielded two distinct variants (named herein S_104‐1 and S_104‐2) that differed at five nucleotide positions within the open reading frame, two of which resulted in changes in the predicted protein sequence. Test‐cross experiments indicated that the S‐alleles associated with the S_104‐1 and S_104‐2RNases exhibit the same pollen and pistil functions, suggesting that they are two neutral variants segregating within the S₁₀₄ haplotype of European pear. These allelic forms might represent transitional states in the process of generating new specificities in the species, in accordance with models that predict S‐function transition through neutral intermediates. This possibility was further evaluated through the pattern of molecular evolution of functionally distinct European pear S‐RNases, which indicated that most recent S‐allele diversification in this species proceeded in the absence of adaptive selective pressure.