Drug export pathway of multidrug exporter AcrB revealed by DARPin inhibitors

The multidrug exporter AcrB is the inner membrane component of the AcrAB-TolC drug efflux system in Escherichia coli and is responsible for the resistance of this organism to a wide range of drugs. Here we describe the crystal structure of the trimeric AcrB in complex with a designed ankyrin-repeat protein (DARPin) inhibitor at 2.5-Å resolution. The three subunits of AcrB are locked in different conformations revealing distinct channels in each subunit. There seems to be remote conformational coupling between the channel access, exit, and the putative proton-translocation site, explaining how the proton motive force is used for drug export. Thus our structure suggests a transport pathway not through the central pore but through the identified channels in the individual subunits, which greatly advances our understanding of the multidrug export mechanism.     

A neural computation for visual acuity in the presence of eye movements

Humans can distinguish visual stimuli that differ by features the size of only a few photoreceptors. This is possible despite the incessant image motion due to fixational eye movements, which can be many times larger than the features to be distinguished. To perform well, the brain must identify the retinal firing patterns induced by the stimulus while discounting similar patterns caused by spontaneous retinal activity. This is a challenge since the trajectory of the eye movements, and consequently, the stimulus position, are unknown. We derive a decision rule for using retinal spike trains to discriminate between two stimuli, given that their retinal image moves with an unknown random walk trajectory. This algorithm dynamically estimates the probability of the stimulus at different retinal locations, and uses this to modulate the influence of retinal spikes acquired later. Applied to a simple orientation-discrimination task, the algorithm performance is consistent with human acuity, whereas naive strategies that neglect eye movements perform much worse. We then show how a simple, biologically plausible neural network could implement this algorithm using a local, activity-dependent gain and lateral interactions approximately matched to the statistics of eye movements. Finally, we discuss evidence that such a network could be operating in the primary visual cortex.     

Expression level and agonist-binding affect the turnover, ubiquitination and complex formation of peroxisome proliferator activated receptor beta

Peroxisome proliferator-activated receptors (PPARs) are members of the nuclear hormone receptor superfamily that modulate target gene expression in response to fatty acid ligands. Their regulation by post-translational modifications has been reported but is poorly understood. In the present study, we investigated whether ligand binding affects the turnover and ubiquitination of the PPARbeta subtype (also known as PPARdelta). Our data show that the ubiquitination and degradation of PPARbeta is not significantly influenced by the synthetic agonist GW501516 under conditions of moderate PPARbeta expression. By contrast, the overexpression of PPARbeta dramatically enhanced its degradation concomitant with its polyubiquitination and the formation of high molecular mass complexes containing multiple, presumably oligomerized PPARbeta molecules that lacked stoichiometical amounts of the obligatory PPARbeta dimerization partner, retinoid X receptor. The formation of these apparently aberrant complexes, as well as the ubiquitination and destabilization of PPARbeta, were strongly inhibited by GW501516. Our findings suggest that PPARbeta is subject to complex post-translational regulatory mechanisms that partly may serve to safeguard the cell against deregulated PPARbeta expression. Furthermore, our data have important implications regarding the widespread use of overexpression systems to evaluate the function and regulation of PPARs.     

Comprehensive inventory of cannabinoids in Cannabis sativa L.: Can we connect genotype and chemotype?

Phytochemistry Reviews - Following decades of tight restrictions, recent legislative adjustments have decriminalized the use of products derived from cannabis (Cannabis sativa L.) in many countries...     

Foraminifers of the Viséan–Serpukhovian boundary interval in Western Palaeotethys: a review

A detailed revision of foraminiferal zonal schemes in sections throughout Europe and North Africa for the Viséan–Serpukhovian boundary interval suggests that several foraminiferal taxa might have the potential to form reliable markers throughout the Palaeotethys. This would support the currently investigated boundary definition based on the First Appearance Datum of the conodont Lochriea ziegleri. However, correlation of these foraminiferal markers in the Western Palaeotethys region has encountered several problems, partly arising from taxonomic issues, but mainly because of apparent discrepancies between the First Occurrence Data (FOD). Analysis of the available foraminiferal data has revealed that some taxa show marked delays in their FODs, due to the timing of westward dispersal within the Palaeotethys, emanating from a probable source in eastern Russia. As a result of this investigation, two dispersal routes have been identified, a northern branch and a southern branch. In general, the displacements within the southern branch occurred more rapidly than in the northern branch. In addition to different dispersal routes, separation of the main foraminiferal markers in stratigraphical sections from different regions can result from isolation of shallow‐water facies of the inner platform from those of relatively deeper‐water settings in the outer platform, the latter showing more consistent foraminiferal FODs. The differences in palaeobathymetry and associated energy levels have enabled two foraminiferal zonal schemes to be distinguished for the Viséan–Serpukhovian boundary interval in the Western Palaeotethys, one for the inner platform and a second one for the outer platform.     

Solution Structure of C. elegans UNC-6: A Nematode Paralogue of the Axon Guidance Protein Netrin-1

UNCoordinated-6 (UNC-6) was the first member of the netrin family to be discovered in Caenorhabditis elegans. With homology to human netrin-1, it is a key signaling molecule involved in directing axon migration in nematodes. Similar to netrin-1, UNC-6 interacts with multiple receptors (UNC-5 and UNC-40, specifically) to guide axon migration in development. As a result of the distinct evolutionary path of UNC-6 compared to vertebrate netrins, we decided to employ an integrated approach to study its solution behavior and compare it to the high-resolution structure we previously published on vertebrate netrins. Dynamic light scattering and analytical ultracentrifugation on UNC-6 (with and without its C-domain) solubilized in a low-ionic strength buffer suggested that UNC-6 forms high-order oligomers. An increase in the buffer ionic strength resulted in a more homogeneous preparation of UNC-6, that was used for subsequent solution x-ray scattering experiments. Our biophysical analysis of UNC-6 ΔC solubilized in a high-ionic strength buffer suggested that it maintains a similar head-to-stalk arrangement as netrins ?1 and ?4. This phenomenon is thought to play a role in the signaling behavior of UNC-6 and its ability to move throughout the extracellular matrix.     

Zuckerbrot und Peitsche

Marantaceae (arrowrood) are among the few examples of plants showing unexpectedly fast movements such as the ones in the meaningful mimosa or carnivorous plants. In the Venus flytrap (Dionaea), the movement of leaves is an extreme fast reaction to mechanical stimuli and based on the propagation of electrical signals. Of course, it was interesting to investigate, whether the explosively moving style of Marantaceae is based on a comparable mechanism. Electrophysiological experiments helped to understand how one of the fastest movements in the plant kingdom is mediated.     

Inter‐individual variation in colour patterns in noctuid moths characterizes long‐distance dispersers and agricultural pests

A high capacity for long‐distance dispersal is a key to success for species confronted with environmental heterogeneity, habitat modification, fragmentation and loss. However, dispersal capacity is difficult to quantify and therefore poorly known in most taxa. Here, we report on a test for an association of variation in dispersal capacity with variable colouration of noctuid moths. First, using data from 12 experienced lepidopterologists, we showed that despite variation among experts in average assessments, different species are consistently classified as having non‐variable, variable or highly variable colour patterns when assessed by different experts. We then compared the incidence of non‐resident species with high inter‐individual variation in colour patterns recorded on the isolated island Utklippan (n = 47), with that in a species pool of potential long‐distance dispersers from the nearest mainland (n = 295). Species with high inter‐individual colour pattern variation were over‐represented on the island compared with species having non‐variable colouration. This finding constitutes rare evidence from the wild of long‐distance dispersal, measured on a spatial scale relevant for moths when tracking habitats in fragmented and changing landscapes or when keeping pace with environmental challenges associated with climate change. Finally, we showed that Swedish noctuid moths classified as agricultural pests (n = 28) had more variable colour patterns compared with non‐pests (n = 368). The majority of agricultural pests were also recorded on the isolated island, an outcome that is indicative of pest species having high dispersal capacity. Data on colour pattern variation may thus offer a simple and cost‐effective proxy to estimate dispersal capacity and can also help identify potential pest species. Our findings are potentially useful when modelling and predicting population and range dynamics of species in spatiotemporally heterogeneous environments, with direct implications for conservation biology and pest management.