Myoinhibitory peptide regulates feeding in the marine annelid Platynereis

BACKGROUND: During larval settlement and metamorphosis, marine invertebrates undergo changes in habitat, morphology, behavior and physiology. This change between life-cycle stages is often associated with a change in diet or a transition between a non-feeding and a feeding form. How larvae regulate changes in feeding during this life-cycle transition is not well understood. Neuropeptides are known to regulate several aspects of feeding, such as food search, ingestion and digestion. The marine annelid Platynereis dumerilii has a complex life cycle with a pelagic non-feeding larval stage and a benthic feeding postlarval stage, linked by the process of settlement. The conserved neuropeptide myoinhibitory peptide (MIP) is a key regulator of larval settlement behavior in Platynereis. Whether MIP also regulates the initiation of feeding, another aspect of the pelagic-to-benthic transition in Platynereis, is currently unknown. RESULTS: Here, we explore the contribution of MIP to the regulation of feeding behavior in settled Platynereis postlarvae. We find that in addition to expression in the brain, MIP is expressed in the gut of developing larvae in sensory neurons that densely innervate the hindgut, the foregut, and the midgut. Activating MIP signaling by synthetic neuropeptide addition causes increased gut peristalsis and more frequent pharynx extensions leading to increased food intake. Conversely, morpholino-mediated knockdown of MIP expression inhibits feeding. In the long-term, treatment of Platynereis postlarvae with synthetic MIP increases growth rate and results in earlier cephalic metamorphosis. CONCLUSIONS: Our results show that MIP activates ingestion and gut peristalsis in Platynereis postlarvae. MIP is expressed in enteroendocrine cells of the digestive system suggesting that following larval settlement, feeding may be initiated by a direct sensory-neurosecretory mechanism. This is similar to the mechanism by which MIP induces larval settlement. The pleiotropic roles of MIP may thus have evolved by redeploying the same signaling mechanism in different aspects of a life-cycle transition. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12983-014-0093-6) contains supplementary material, which is available to authorized users

The N-glycosylation defect of cwh8Δ yeast cells causes a distinct defect in sphingolipid biosynthesis

CWH8/YGR036c of Saccharomyces cerevisiae has been identified as a dolichylpyrophosphate (Dol-PP) phosphatase that removes a phosphate from the Dol-PP generated by the oligosaccharyltransferase (OST), while it adds N‐glycans to nascent glycoproteins in the endoplasmic reticulum (ER). Lack of CWH8 was proposed to interrupt the so called dolichol (Dol) cycle by trapping Dol in the form of Dol-PP in the ER lumen. Indeed, cwh8D mutants display a severe deficiency in N‐glycosylation. We find that cwh8D mutants have strongly reduced levels of inositolphosphorylceramide (IPC), whereas its derivative, mannosyl-(inositol-P)2-ceramide (M(IP)2C) is not affected. Microsomes of cwh8D contain normal ceramide synthase and IPC synthesis activities. Within a large panel of mutants affecting Dol dependent pathways such as N- or O-glycosylation, or glycosylphosphatidyl inositol (GPI)-anchoring, only the mutants having a deficiency of N-glycan addition show the defect in IPC biosynthesis. By mutating genes required for the addition of N-glycans or by treating cells with tunicamycin (Tm) one can similarly reduce the steady state level of IPC and exactly reproduce the phenotype of cwh8D cells. Some potential mechanisms by which the lack of N-glycans could lead to the sphingolipid abnormality were further explore

Cost Benefit Analysis of an Innovative and Modular Autonomous Vehicle: The Case of U-Shift

The study presents a Cost-Benefit Analysis (CBA) of future implementation of “U-Shift” vehicles. “U-Shift” is an autonomous vehicle concept currently developed at the German Centre for Aerospace (DLR). The CBA was prepared in 2020 as part of a feasibility study on behalf of the German Ministry for Economy to assess the possible impacts of a hypothetical large-scale implementation of these vehicles. It compares two future scenarios for roll-out in 2040 in Stuttgart, a mid-sized city in Germany’s automotive centre, with a Base Case. Scenario 1 reflects the preferred approach for implementation pursued by DLR, where autonomous driving of vehicles is enabled by sensors as part of the road infrastructure and the vehicles’ movements are orchestrated by a central traffic management centre. Scenario 2 reflects the current approach for automation, where autonomous driving technology is part of the vehicle itself and their movements are not coordinated by a central agency. The CBA quantifies capital and recurrent costs, road safety, CO2 emissions and air pollution. Costs and benefits are quantified for one year only, 2040, a plausible year for large-scale implementation. As it only considers recurrent costs and benefits of one year, investment costs were apportioned accordingly, taken the expected asset life into account

Neuronal LRP4 regulates synapse formation in the developing CNS

The low-density lipoprotein receptor-related protein 4 (LRP4) is essential in muscle fibers for the establishment of the neuromuscular junction. Here, we show that LRP4 is also expressed by embryonic cortical and hippocampal neurons, and that downregulation of LRP4 in these neurons causes a reduction in density of synapses and number of primary dendrites. Accordingly, overexpression of LRP4 in cultured neurons had the opposite effect inducing more but shorter primary dendrites with an increased number of spines. Transsynaptic tracing mediated by rabies virus revealed a reduced number of neurons presynaptic to the cortical neurons in which LRP4 was knocked down. Moreover, neuron-specific knockdown of LRP4 by in utero electroporation of LRP4 miRNA in vivo also resulted in neurons with fewer primary dendrites and a lower density of spines in the developing cortex and hippocampus. Collectively, our results demonstrate an essential and novel role of neuronal LRP4 in dendritic development and synaptogenesis in the CNS

ALC: automated reduction of rule-based models

<p>Abstract</p> <p>Background</p> <p>Combinatorial complexity is a challenging problem for the modeling of cellular signal transduction since the association of a few proteins can give rise to an enormous amount of feasible protein complexes. The layer-based approach is an approximative, but accurate method for the mathematical modeling of signaling systems with inherent combinatorial complexity. The number of variables in the simulation equations is highly reduced and the resulting dynamic models show a pronounced modularity. Layer-based modeling allows for the modeling of systems not accessible previously.</p> <p>Results</p> <p>ALC (Automated Layer Construction) is a computer program that highly simplifies the building of reduced modular models, according to the layer-based approach. The model is defined using a simple but powerful rule-based syntax that supports the concepts of modularity and macrostates. ALC performs consistency checks on the model definition and provides the model output in different formats (C MEX, MATLAB, <it>Mathematica </it>and SBML) as ready-to-run simulation files. ALC also provides additional documentation files that simplify the publication or presentation of the models. The tool can be used offline or via a form on the ALC website.</p> <p>Conclusion</p> <p>ALC allows for a simple rule-based generation of layer-based reduced models. The model files are given in different formats as ready-to-run simulation files.</p

The GRAVITY+ Project: Towards All-sky, Faint-Science, High-Contrast Near-Infrared Interferometry at the VLTI

The GRAVITY instrument has been revolutionary for near-infrared interferometry by pushing sensitivity and precision to previously unknown limits. With the upgrade of GRAVITY and the Very Large Telescope Interferometer (VLTI) in GRAVITY+, these limits will be pushed even further, with vastly improved sky coverage, as well as faint-science and high-contrast capabilities. This upgrade includes the implementation of wide-field off-axis fringe-tracking, new adaptive optics systems on all Unit Telescopes, and laser guide stars in an upgraded facility. GRAVITY+ will open up the sky to the measurement of black hole masses across cosmic time in hundreds of active galactic nuclei, use the faint stars in the Galactic centre to probe General Relativity, and enable the characterisation of dozens of young exoplanets to study their formation, bearing the promise of another scientific revolution to come at the VLTI.Comment: Published in the ESO Messenge