Nitrogenous nutrition of the potentially toxic diatom Pseudonitzschia pungens f. multiseries Hasle

The potentially toxic diatom Pseudonitzschia pungens f. multiserieswas grown on different sources of nitrogen in batch cultures.Ammonium did not support growth at concentrations >200 µM,and even lowered the growth rate, when it was supplied in additionto growth-saturating nitrate concentrations. This seemed tobe a combined effect of inhibition of nitrate uptake and directammonia toxicity. Urea, glutamine and nitrite were used readilyby P.pungens.     

Direct aldosterone action on mouse cardiomyocytes detected with atomic force microscopy.

There is growing evidence that aldosterone acts on heart where it causes cellular remodeling and hypertrophy. Since it is still unclear whether aldosterone directly acts on cardiomyocytes or indirectly, by an altered electrolyte balance in the organism, we applied atomic force microscopy (AFM) in primary cultures of neonatal mouse cardiomyocytes to measure hormone-induced changes in cell volume and plasma membrane surface. AFM measures cell volume and, at the same time, provides quantitative information on cell surface properties. Neonatal mouse cardiomyocytes were cultured for 28 hours in absence or presence of 100 nM aldosterone. Spironolactone was applied as a selective aldosterone receptor antagonist. At the microscopic level, single cell volume and single cell surface were found unchanged by aldosterone. However, nanoscopy of the cell surface, i.e. analysis of the plasma membrane at the nanometer level, revealed a specific increase in plasma membrane nano-enfoldings (roughness). This aldosterone-mediated increase in cell surface roughness was completely prevented by spironolactone. We conclude: (i) Aldosterone directly acts upon cardiomyocytes. (ii) At the microscopic level, no changes of cell volume and cell surface are detectable. (iii) At the nanoscopic level, aldosterone increases plasma membrane roughness. These nanometer changes, detectable only with AFM in cells scanned in fluid after fixation under physiological conditions, indicate plasma membrane remodeling of cardiomyocytes by mineralocorticoids.     

A cross‐system meta‐analysis reveals coupled predation effects on prey biomass and diversity

Predator diversity and abundance are under strong human pressure in all types of ecosystems. Whereas predator potentially control standing biomass and species interactions in food webs, their effects on prey biomass and especially prey biodiversity have not yet been systematically quantified. Here, we test the effects of predation in a cross‐system meta‐analysis of prey diversity and biomass responses to local manipulation of predator presence. We found 291 predator removal experiments from 87 studies assessing both diversity and biomass responses. Across ecosystem types, predator presence significantly decreased both biomass and diversity of prey across ecosystems. Predation effects were highly similar between ecosystem types, whereas previous studies had shown that herbivory or decomposition effects differed fundamentally between terrestrial and aquatic systems based on different stoichiometry of plant material. Such stoichiometric differences between systems are unlikely for carnivorous predators, where effect sizes on species richness strongly correlated to effect sizes on biomass. However, the negative predation effect on prey biomass was ameliorated significantly with increasing prey richness and increasing species richness of the manipulated predator assemblage. Moreover, with increasing richness of the predator assemblage present, the overall negative effects of predation on prey richness switched to positive effects. Our meta‐analysis revealed strong general relationships between predator diversity, prey diversity and the interaction strength between trophic levels in terms of biomass. This study indicates that anthropogenic changes in predator abundance and diversity will potentially have strong effects on trophic interactions across ecosystems. Synthesis The past centuries we have experienced a dramatic loss of top–predator abundance and diversity in most types of ecosystems. To understand the direct consequences of predator loss on a global scale, we quantitatively summarized experiments testing predation effects on prey communities in a cross‐system meta‐analysis. Across ecosystem types, predator presence significantly decreased both biomass and diversity of prey, and predation effects were highly similar. However, with increasing predator richness, the overall negative effects of predation on prey richness switched to positive ones. Anthropogenic changes in predator communities will potentially have strong effects on prey diversity, biomass, and trophic interactions across ecosystems.     

Kin Recognition and Inbreeding Avoidance in a Butterfly

Owing to the risk of inbreeding depression, the evolution of inbreeding avoidance by means of kin recognition is expected for many biological systems. Nevertheless, an ability to distinguish among relatives and non‐relatives has been only rarely demonstrated, especially so in non‐social organisms. We here show that, in the non‐social tropical butterfly Bicyclus anynana, females discriminate against relatives by preferentially mating with non‐relatives. Inbreeding avoidance was more pronounced in inbred as compared with outbred butterflies, suggesting that it is partly condition dependent. We argue that, in our system, the evolution of inbreeding avoidance is related to carrying a high genetic load and thus to being particularly sensitive to inbreeding depression. We suggest that kin recognition might be more widespread than currently thought and that future studies may possibly benefit from considering condition dependence, especially by paying attention to and/or manipulating population history, genetic load, and the risk of inbreeding depression. We further suggest that kin recognition in B. anynana might be based on cuticular hydrocarbons used for self‐referencing.     

A gas-inducible expression system in HEK.EBNA cells applied to controlled proliferation studies by expression of p27(Kip1)

We describe an efficient inducible gene expression system in HEK.EBNA cells, a well-established cell system for the rapid transient expression of research-tool proteins. The transgene control system of choice is the novel acetaldehyde-inducible regulation (AIR) technology, which has been shown to modulate transgene levels following exposure of cells to acetaldehyde. For application in HEK.EBNA cells, AlcR transactivator plasmids were constructed and co-expressed with the secreted alkaline phosphatase (SEAP) gene under the control of a chimeric mammalian promoter (P(AIR)) for acetaldehyde-regulated expression. Several highly inducible transactivator cell lines were established. Adjustable transgene induction by gaseous acetaldehyde led to high induction levels and tight repression in transient expression trials and in stably transfected HEK.EBNA cell lines. Thus, the AIR technology can be used for inducible expression of any desired recombinant protein in HEK.EBNA cells. A possible application for inducible gene expression is a controlled proliferation strategy. Clonal HEK.EBNA cell lines, expressing the fungal transactivator protein AlcR, were engineered for gas-adjustable expression of the cell-cycle regulator p27(Kip1). We show that expression of p27(Kip1) via transient or stable transfection led to a G1-phase specific growth arrest of HEK.EBNA cells. Furthermore, production pools engineered for gas-adjustable expression of p27(Kip1) and constitutive expression of SEAP showed enhanced productive capacity.     

Continuous-index hidden Markov modelling of array CGH copy number data

MOTIVATION: In recent years, a range of techniques for analysis and segmentation of array comparative genomic hybridization (aCGH) data have been proposed. For array designs in which clones are of unequal lengths, are unevenly spaced or overlap, the discrete-index view typically adopted by such methods may be questionable or improved. RESULTS: We describe a continuous-index hidden Markov model for aCGH data as well as a Monte Carlo EM algorithm to estimate its parameters. It is shown that for a dataset from the BT-474 cell line analysed on 32K BAC tiling microarrays, this model yields considerably better model fit in terms of lag-1 residual autocorrelations compared to a discrete-index HMM, and it is also shown how to use the model for e.g. estimation of change points on the base-pair scale and for estimation of conditional state probabilities across the genome. In addition, the model is applied to the Glioblastoma Multiforme data used in the comparative study by Lai et al. (Lai,W.R. et al. (2005) Comparative analysis of algorithms for identifying amplifications and deletions in array CGH data. Bioinformatics, 21, 3763-3370.) giving result similar to theirs but with certain features highlighted in the continuous-index setting.     

Dopamine/serotonin receptor ligands. Part 15: Oxygenation of the benz-indolo-azecine LE 300 leads to novel subnanomolar dopamine D1/D5 antagonists

Relying on the high affinities of the benz-indolo-azecine LE 300 (1) and the hydroxylated dibenz-azecine LE 404 (2b) for the D1/D5 receptor subtypes, we synthesized methoxylated, hydroxylated and an indole-N methylated derivatives of 1 (Fig. 1). Hydroxylation of azecine derivatives is beneficial with regard to the affinities and selectivities for all the dopamine receptor subtypes. The 'serotonin-derived' 3-oxygenated target compounds but not the 11-oxygenated analogues were superior to the unsubstituted LE 300. 11-Methoxy-7,14-dimethyl-6,7,8,9,14,15-hexahydro-5H-indolo[3,2-f][3]benzazecine (3e) was found to be the most potent antagonist at D2/D3/D4 and D5 receptor subtypes (Ki for D5 = 0.23 nmol) of all known benz-indolo-azecines.