14-3-3 Protein homologues play a central role in the fusicoccin signal transduction pathway

The plasma membrane located fusicoccin binding protein (FCBP) is an essential element in the fusicoccin (FC) signal transduction pathway. We obtained primary sequence information for the 31 kD subunit of the FCBP. These sequences showed that the FCBP is homologous to members of the 14-3-3 protein family. Both the 31 and 30 kD subunits cross-react with 14-3-3 antibodies. In native form the FCBP occurs as a dimer, but it is also part of a complex with higher molecular mass. The monomeric forms of the FCBP (the 30 and 31 kD subunits) do not have ³H-FC binding activity. We discuss how the FCBP, as a member of the 14-3-3 protein family, may be able to bind FC and how the FC-signal is transduced to the effector protein, the H⁺-ATPase.     

Pan-Arctic soil moisture control on tundra carbon sequestration and plant productivity

Long-term atmospheric CO₂ concentration records have suggested a reduction in the positive effect of warming on high-latitude carbon uptake since the 1990s. A variety of mechanisms have been proposed to explain the reduced net carbon sink of northern ecosystems with increased air temperature, including water stress on vegetation and increased respiration over recent decades. However, the lack of consistent long-term carbon flux and in situ soil moisture data has severely limited our ability to identify the mechanisms responsible for the recent reduced carbon sink strength. In this study, we used a record of nearly 100 site-years of eddy covariance data from 11 continuous permafrost tundra sites distributed across the circumpolar Arctic to test the temperature (expressed as growing degree days, GDD) responses of gross primary production (GPP), net ecosystem exchange (NEE), and ecosystem respiration (ER) at different periods of the summer (early, peak, and late summer) including dominant tundra vegetation classes (graminoids and mosses, and shrubs). We further tested GPP, NEE, and ER relationships with soil moisture and vapor pressure deficit to identify potential moisture limitations on plant productivity and net carbon exchange. Our results show a decrease in GPP with rising GDD during the peak summer (July) for both vegetation classes, and a significant relationship between the peak summer GPP and soil moisture after statistically controlling for GDD in a partial correlation analysis. These results suggest that tundra ecosystems might not benefit from increased temperature as much as suggested by several terrestrial biosphere models, if decreased soil moisture limits the peak summer plant productivity, reducing the ability of these ecosystems to sequester carbon during the summer.     

Control of glycolysis in the posterior adductor muscle of the sea musselMytilus edulis

Summary Concentrations of glycolytic intermediates, lactate, adenine nucleotides, inorganic phosphate, phosphoarginine and citrate have been estimated after various periods of valve closure (Table 1 and Fig. 1). Mass action ratios of enzyme steps involved in the metabolism of these components are compared with their equilibrium constants. This reveals glycogen phosphorylase, phosphofructokinase, hexosediphosphatase and pyruvate kinase catalyze non-equilibrium reactions. The first three enzymes possess relatively low activities (Table 2).From the changes in concentrations of the glycolytic intermediates it is concluded that phosphofructokinase controls the carbon flow during the first hours after valve closure, whereas later on the rate of conversion of phosphoenolpyruvate is determining this flow. In skeletal muscle phosphofructokinase controls the carbon flow during the whole period of exercise.The concentrations of ADP, AMP and inorganic phosphate increase, whereas the concentrations of ATP, phosphoarginine and citrate decrease during valve closure (Table 1 and Fig. 2). In contrast to skeletal muscle, these changes do not result in a strong increase in the glycolytic flux.There is a much greater potential for ATP hydrolysis by the myofibrillar ATPase system than is actually realized by the adductor muscle during valve closure.     

Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes

Aim To examine the effects of forest fragmentation on the distribution of the entire wild giant panda (Ailuropoda melanoleuca) population, and to propose a modelling approach for monitoring the spatial distribution and habitat of pandas at the landscape scale using Moderate Resolution Imaging Spectro‐radiometer (MODIS) enhanced vegetation index (EVI) time‐series data. Location Five mountain ranges in south‐western China (Qinling, Minshan, Qionglai, Xiangling and Liangshan). Methods Giant panda pseudo‐absence data were generated from data on panda occurrences obtained from the third national giant panda survey. To quantify the fragmentation of forests, 26 fragmentation metrics were derived from 16‐day composite MODIS 250‐m EVI multi‐temporal data and eight of these metrics were selected following factor analysis. The differences between panda presence and panda absence were examined by applying significance testing. A forward stepwise logistic regression was then applied to explore the relationship between panda distribution and forest fragmentation. Results Forest patch size, edge density and patch aggregation were found to have significant roles in determining the distribution of pandas. Patches of dense forest occupied by giant pandas were significantly larger, closer together and more contiguous than patches where giant pandas were not recorded. Forest fragmentation is least in the Qinling Mountains, while the Xiangling and Liangshan regions have most fragmentation. Using the selected landscape metrics, the logistic regression model predicted the distribution of giant pandas with an overall accuracy of 72.5% (κ = 0.45). However, when a knowledge‐based control for elevation and slope was applied to the regression, the overall accuracy of the model improved to 77.6% (κ = 0.55). Main conclusions Giant pandas appear sensitive to patch size and isolation effects associated with fragmentation of dense forest, implying that the design of effective conservation areas for wild giant pandas must include large and dense forest patches that are adjacent to other similar patches. The approach developed here is applicable for analysing the spatial distribution of the giant panda from multi‐temporal MODIS 250‐m EVI data and landscape metrics at the landscape scale.     

14-3-3 protein regulation of proton pumps and ion channels

In addition to their regulation of cytoplasmic enzymes, the 14-3-3 proteins are important regulators of membrane localised proteins. In particular, many of the cells' ion pumps and channels are either directly or indirectly modulated by 14-3-3 proteins. Binding of 14-3-3 can lead to the activation of pump activity as in the case of the plasma membrane H⁺-ATPase or inhibition as in the case of the F-type ATP synthase complexes. 14-3-3 binding can also lead to surprising results such as the recruitment of `sleepy' outward rectifiying K⁺ channels in tomato cells. Our present knowledge extends to an initial understanding of isoform-specific binding of 14-3-3 to certain membrane proteins and a perception of the protein kinases and phosphatases that maintain the regulatory process in a state of flux.     

Automated identification of diploid reference cells in cervical smears using image analysis

BACKGROUND: Acquisition of DNA ploidy histograms by image analysis may yield important information regarding the behavior of premalignant cervical lesions. Accurate selection of nuclei for DNA measurement is an important prerequisite for obtaining reliable data. Traditionally, manual selection of nuclei of diagnostic and reference cells is performed by an experienced cytotechnologist. In the present study, a method for the fully automated identification of nuclei of diploid epithelial reference cells in Feulgen- restained Papanicolaou (PAP) smears is described. METHODS: The automated procedure consists of a decision tree implemented on the measurement device, containing nodes with feature threshold values and multivariate discriminant functions. Nodes were constructed to recognize debris and inflammatory cells, as well as diploid and nondiploid epithelial cells of the uterine cervix. Evaluation of the classifier was performed by comparing resulting diploid integrated optical densities with those from manually selected reference cells. RESULTS AND CONCLUSION: On average, automatically acquired values deviated 2.4% from manually acquired values, indicating that the method described in this paper may be useful in cytometric practice.     

Fusicoccin signaling reveals 14-3-3 protein function as a novel step in left-right patterning during amphibian embryogenesis

To gain insight into the molecular mechanisms underlying the control of morphogenetic signals by H+ flux during embryogenesis, we tested Fusicoccin-A (FC), a compound produced by the fungus Fusicoccum amygdali Del. In plant cells, FC complexes with 14-3-3 proteins to activate H+ pumping across the plasma membrane. It has long been thought that FC acts on higher plants only; here, we show that exposing frog embryos to FC during early development specifically results in randomization of the asymmetry of the left-right (LR) axis (heterotaxia). Biochemical and molecular-genetic evidence is presented that 14-3-3-family proteins are an obligate component of Xenopus FC receptors and that perturbation of 14-3-3 protein function results in heterotaxia. The subcellular localization of 14-3-3 mRNAs and proteins reveals novel cytoplasmic destinations, and a left-right asymmetry at the first cell division. Using gain-of-function and loss-of-function experiments, we show that 14-3-3E protein is likely to be an endogenous and extremely early aspect of LR patterning. These data highlight a striking conservation of signaling pathways across kingdoms, suggest common mechanisms of polarity establishment between C. elegans and vertebrate embryos, and uncover a novel entry point into the pathway of left-right asymmetry determination.     

Involvement of 14-3-3 proteins in the osmotic regulation of H+-ATPase in plant plasma membranes

 Taking the binding of fusicoccin to plasma membranes as an indicator of complex formation between the 14-3-3 dimer and H⁺-ATPase, we assessed the effect of osmotic stress on the interaction of these proteins in suspension-cultured cells of sugar beet (Beta vulgaris L.). An increase in osmolarity of the cell incubation medium, accompanied by a decrease in turgor, was found to activate the H⁺ efflux 5-fold. The same increment was observed in the number of high-affinity fusicoccin-binding sites in isolated plasma membranes; the 14-3-3 content in the membranes increased 2- to 3-fold, while the H⁺-ATPase activity changed only slightly. The data obtained indicate that osmotic regulation of H⁺-ATPase in the plant plasma membrane is achieved via modulation of the coupling between H⁺ transport and ATP hydrolysis, and that such regulation involves 14-3-3 proteins. Received: 10 February 2000 / Accepted: 31 March 2000     

Finessing atlas data for species distribution models

Aim The spatial resolution of species atlases and therefore resulting model predictions are often too coarse for local applications. Collecting distribution data at a finer resolution for large numbers of species requires a comprehensive sampling effort, making it impractical and expensive. This study outlines the incorporation of existing knowledge into a conventional approach to predict the distribution of Bonelli’s eagle (Aquila fasciata) at a resolution 100 times finer than available atlas data. Location Malaga province, Andalusia, southern Spain. Methods A Bayesian expert system was proposed to utilize the knowledge from distribution models to yield the probability of a species being recorded at a finer resolution (1 × 1 km) than the original atlas data (10 × 10 km). The recorded probability was then used as a weight vector to generate a sampling scheme from the species atlas to enhance the accuracy of the modelling procedure. The maximum entropy for species distribution modelling (MaxEnt) was used as the species distribution model. A comparison was made between the results of the MaxEnt using the enhanced and, the random sampling scheme, based on four groups of environmental variables: topographic, climatic, biological and anthropogenic. Results The models with the sampling scheme enhanced by an expert system had a higher discriminative capacity than the baseline models. The downscaled (i.e. finer scale) species distribution maps using a hybrid MaxEnt/expert system approach were more specific to the nest locations and were more contrasted than those of the baseline model. Main conclusions The proposed method is a feasible substitute for comprehensive field work. The approach developed in this study is applicable for predicting the distribution of Bonelli’s eagle at a local scale from a national‐level occurrence data set; however, the usefulness of this approach may be limited to well‐known species.