Indirect defence of plants against herbivores: using Arabidopsis thaliana as a model plant

In their defence against pathogens, herbivorous insects, and mites, plants employ many induced responses. One of these responses is the induced emission of volatiles upon herbivory. These volatiles can guide predators or parasitoids to their herbivorous prey, and thus benefit both plant and carnivore. This use of carnivores by plants is termed indirect defence and has been reported for many plant species, including elm, pine, maize, Lima bean, cotton, cucumber, tobacco, tomato, cabbage, and Arabidopsis thaliana. Herbivory activates an intricate signalling web and finally results in defence responses such as increased production of volatiles. Although several components of this signalling web are known (for example the plant hormones jasmonic acid, salicylic acid, and ethylene), our understanding of how these components interact and how other components are involved is still limited. Here we review the knowledge on elicitation and signal transduction of herbivory-induced volatile production. Additionally, we discuss how use of the model plant Arabidopsis thaliana can enhance our understanding of signal transduction in indirect defence and how cross-talk and trade-offs with signal transduction in direct defence against herbivores and pathogens influences plant responses.     

The olfactory signal transduction for attractive odorants in Caenorhabditis elegans

Olfaction in Caenorhabditis elegans is a versatile and sensitive strategy to seek food and avoid danger by sensing volatile chemicals emitted by the targets. The ability to sense attractive odor is mainly accomplished by the AWA and AWC neurons. Previous studies have shown the components of the olfaction signal pathway in these two amphid chemosensory neurons, but integration of the individual signaling components requires further elucidation. Here we review the progresses in our understanding of signal pathways for attractive olfaction involving AWA and AWC neurons, and discuss how the different signal molecules might employ the common molecular cascades to transduce the olfactory system and guide behavior in each neuron.     

Temperature perception and signal transduction in plants

Plants can show remarkable responses to small changes in temperature, yet one of the great unknowns in plant science is how that temperature signal is perceived. The identity of the early components of the temperature signal transduction pathway also remains a mystery. To understand the consequences of anthropogenic environmental change we will have to learn much more about the basic biology of how plants sense temperature. Recent advances show that many known plant-temperature responses share common signalling components, and suggest ways in which these might be linked to form a plant temperature signalling network.     

Seismic Signaling is Crucial for Female Mate Choice in a Multimodal Signaling Wolf Spider

Complex courtship signals can be dissected into distinct components that can either function independently or via interactions with one another. Male Rabidosa rabida wolf spiders use courtship displays that couple a seismic signal with the waving of an ornamented foreleg. While previous studies suggest that female R. rabida exhibit mate choice and that both the seismic and visual modalities are important in mating interactions, it remains unclear how variation in each component influences female mating decisions. To investigate this, we ran two separate experiments in which we manipulated (1) male diets, to induce variation in the seismic courtship signal, and (2) male foreleg color, to artificially induce variation in visual foreleg ornamentation. To determine the influence of variation in each component independently, females were paired with males in environments that allowed the detection of only the manipulated signal component (e.g. seismic signal only and visual signal only). Variability in the seismic signal alone influenced female mate choice, but variability in visual ornamentation alone did not. In a third experiment, we manipulated foreleg color and allowed it to interact with the seismic signal to determine whether inter‐signal interactions influence female mating decisions. When females were able to detect both signal components, variation in visual ornamentation did influence mate choice – females preferred ornamented males. Together, these results suggest that the seismic signal of male R. rabida is integral for female mate choice and that the components of the courtship display interact to influence female mating decisions.     

Experimental evolution of a pheromone signal

Sexual signals are important in speciation, but understanding their evolution is complex as these signals are often composed of multiple, genetically interdependent components. To understand how signals evolve, we thus need to consider selection responses in multiple components and account for the genetic correlations among components. One intriguing possibility is that selection changes the genetic covariance structure of a multicomponent signal in a way that facilitates a response to selection. However, this hypothesis remains largely untested empirically. In this study, we investigate the evolutionary response of the multicomponent female sex pheromone blend of the moth Heliothis subflexa to 10 generations of artificial selection. We observed a selection response of about three‐quarters of a phenotypic standard deviation in the components under selection. Interestingly, other pheromone components that are biochemically and genetically linked to the components under selection did not change. We also found that after the onset of selection, the genetic covariance structure diverged, resulting in the disassociation of components under selection and components not under selection across the first two genetic principle components. Our findings provide rare empirical support for an intriguing mechanism by which a sexual signal can respond to selection without possible constraints from indirect selection responses.     

Hormonal signaling and signal pathway crosstalk in the control of myometrial calcium dynamics

Understanding the basis for the control of myometrial contractant and relaxant signaling pathways is important to understanding how to manage myometrial contractions. Signaling pathways are influenced by the level of expression of the signals and signal pathway components, the location of these components in the appropriate subcellular environment, and covalent modification. Crosstalk between these pathways regulates the effectiveness of signal transduction and represents an important way by which hormones can regulate phenotype. This review deals primarily with signaling pathways that control Ca2+ entry and intracellular release, as well as the interplay between these pathways.     

Performance analysis of optical interconnects’ architectures for data center networks

Electrical interconnects in Data Center Networks (DCNs) suffer from various problems which include high energy consumption, high latency, fixed throughput of links and limited reconfigurability. Introducing optical interconnects in DCNs help to reduce these problems to a large extent. Optical interconnects are the technology of the future. To implement optical switching in DCNs various optical components are used which include wavelength selective switch, tunable wavelength converter, arrayed waveguide grating, semiconductor optical amplifier based switch, wavelength division multiplexers and demultiplexers. All these optical components vary the shape, attenuate the optical signal and introduce time delay in bits. A comprehensive study of various architectures for optical interconnects in data center networks (DCN) is carried out. Performance of various architectures is investigated in terms of jitter, bit error rate (BER), receiver sensitivity and eye diagram opening. It is also investigated how different optical components used in optical interconnects in DCNs are effecting the signal degradation in different architectures. The paper concludes with the categorization of the signal degradation types in optical interconnects in DCNs and ways to reduce them. This enables the design of low BER optical interconnects in DCNs.     

Temporal relationship between genetic and warning signal variation in the aposematic wood tiger moth (Parasemia plantaginis)

Many plants and animals advertise unpalatability through warning signals in the form of colour and shape. Variation in warning signals within local populations is not expected because they are subject to directional selection. However, mounting evidence of warning signal variation within local populations suggests that other selective forces may be acting. Moreover, different selective pressures may act on the individual components of a warning signal. At present, we have a limited understanding about how multiple selection processes operate simultaneously on warning signal components, and even less about their temporal and spatial dynamics. Here, we examined temporal variation of several wing warning signal components (colour, UV‐reflectance, signal size and pattern) of two co‐occurring colour morphs of the aposematic wood tiger moth (Parasemia plantaginis). Sampling was carried out in four geographical regions over three consecutive years. We also evaluated each morph's temporal genetic structure by analysing mitochondrial sequence data and nuclear microsatellite markers. Our results revealed temporal differences between the morphs for most signal components measured. Moreover, variation occurred differently in the fore‐ and hindwings. We found no differences in the genetic structure between the morphs within years and regions, suggesting single local populations. However, local genetic structure fluctuated temporally. Negative correlations were found between variation produced by neutrally evolving genetic markers and those of the different signal components, indicating a non‐neutral evolution for most warning signal components. Taken together, our results suggest that differential selection on warning signal components and fluctuating population structure can be one explanation for the maintenance of warning signal variation in this aposematic species.     

Microtubules and signal transduction

Although molecular components of signal transduction pathways are rapidly being identified, how elements of these pathways are positioned spatially and how signals traverse the intracellular environment from the cell surface to the nucleus or to other cytoplasmic targets are not well understood. The discovery of signaling molecules that interact with microtubules (MTs), as well as the multiple effects on signaling pathways of drugs that destabilize or hyperstabilize MTs, indicate that MTs are likely to be critical to the spatial organization of signal transduction. MTs themselves are also affected by signaling pathways and this may contribute to the transmission of signals to downstream targets.     

How actin filaments and microtubules steer growth cones to their targets

Guidance molecules steer growth cones to their targets by attracting or repelling them. Turning in a new direction requires remodeling of the growth cone and bending of the axon. This depends upon reorganization of actin filaments and microtubules, which are the primary cytoskeletal components of growth cones. This article discusses how these cytoskeletal components induce turning. The importance of each component as well as how interactions between them result in axon guidance is discussed. Current evidence shows that microtubules are influenced by both the organization and dynamics of actin filaments in the peripheral domain of growth cones. Cytoskeletal models for repulsive and attractive turning are presented. Molecular candidates that may link actin filaments with microtubules are suggested and potential signal transduction pathways that allow these cytoskeletal components to affect each other are discussed.     

Luminescence control in the marine bacterium Vibrio fischeri: An analysis of the dynamics of lux regulation

A mathematical model has been developed based on the fundamental properties of the control system formed by the lux genes and their products in Vibrio fischeri. The model clearly demonstrates how the components of this system work together to create two, stable metabolic states corresponding to the expression of the luminescent and non-luminescent phenotypes. It is demonstrated how the cell can "switch" between these steady states due to changes in parameters describing metabolic processes and the extracellular concentration of the signal molecule N-3-oxohexanoyl-l-homoserine lactone. In addition, it is shown how these parameters influence how sensitive the switch mechanism is to cellular LuxR and N-3-oxohexanoyl-l-homoserine lactone and complex concentration. While these properties could lead to the collective phenomenon known as quorum sensing, the model also predicts that under certain metabolic circumstances, basal expression of the lux genes could cause a cell to luminesce in the absence of extracellular signal molecule. Finally, the model developed in this study provides a basis for analysing the impact of other levels of control upon lux regulation.     

Analysis of induced components in electroencephalograms using a multiple correlation method

Background  

Evoked and induced activities are two typical components in the EEG and MEG time series after a stimulation. While evoked activity is phase-locked to the stimulus, induced activity is not. Present analysis methods are able to detect non-phase-locked parts of the signal, however, they do not improve the signal-to-noise ratio (SNR) of these signal components.     

The Relation of Signal Transduction to the Sensitivity and Dynamic Range of Bacterial Chemotaxis

Complex networks of interacting molecular components of living cells are responsible for many important processes, such as signal processing and transduction. An important challenge is to understand how the individual properties of these molecular interactions and biochemical transformations determine the system-level properties of biological functions. Here, we address the issue of the accuracy of signal transduction performed by a bacterial chemotaxis system. The chemotaxis sensitivity of bacteria to a chemoattractant gradient has been measured experimentally from bacterial aggregation in a chemoattractant-containing capillary. The observed precision of the chemotaxis depended on environmental conditions such as the concentration and molecular makeup of the chemoattractant. In a quantitative model, we derived the chemotactic response function, which is essential to describing the signal transduction process involved in bacterial chemotaxis. In the presence of a gradient, an analytical solution is derived that reveals connections between the chemotaxis sensitivity and the characteristics of the signaling system, such as reaction rates. These biochemical parameters are integrated into two system-level parameters: one characterizes the efficiency of gradient sensing, and the other is related to the dynamic range of chemotaxis. Thus, our approach explains how a particular signal transduction property affects the system-level performance of bacterial chemotaxis. We further show that the two parameters can be derived from published experimental data from a capillary assay, which successfully characterizes the performance of bacterial chemotaxis.     

cAMP-PKA signaling to the mitochondria: protein scaffolds, mRNA and phosphatases

Energy metabolism and, specifically, the coupling of mitochondria to growth and survival is controlled by the cAMP-PKA pathway in yeast. In higher eukaryotes, cAMP signaling originating at the plasma membrane is distributed to different subcellular districts by cAMP waves received by PKA bound to PKA anchor proteins (AKAPs) tethered to these compartments. This review focuses on the subgroup of AKAPs that anchor PKA to the mitochondrial outer membrane (mtAKAPs). Only PKA anchored to mtAKAPs can efficiently transmit cAMP signals to mitochondria. mtAKAP complexes are remarkably heterogeneous. In addition to PKA regulatory subunits, they may include mRNAs, tyrosine phosphatase(s) and tyrosine kinase(s). Selective regulation of these components by cAMP-PKA integrates various signal transduction pathways and can determine which subcellular compartment receives the signal. Unveiling the interactions among the components of these large complexes will shed light on how cAMP and PKA regulate vital mitochondrial processes.     

受体蛋白激酶和植物发育

受体蛋白激酶是蛋白激酶家族中的重要一类。根据其胞外受体结构域的组成不同 ,植物受体蛋白激酶可划分为不同的类型。近些年的研究发现 ,蛋白激酶是植物发育和抗性反应中重要成分 ,是信号分子的重要受体 ,在信号传导过程中起着重要作用。随着对植物发育过程中信号传导机理认识的不断深入 ,人们有望通过操作植物发育过程向人们需要的方向发展 ,达到控制果实的大小和提高产量的目的。     

Regulation of signal duration and the statistical dynamics of kinase activation by scaffold proteins

Scaffolding proteins that direct the assembly of multiple kinases into a spatially localized signaling complex are often essential for the maintenance of an appropriate biological response. Although scaffolds are widely believed to have dramatic effects on the dynamics of signal propagation, the mechanisms that underlie these consequences are not well understood. Here, Monte Carlo simulations of a model kinase cascade are used to investigate how the temporal characteristics of signaling cascades can be influenced by the presence of scaffold proteins. Specifically, we examine the effects of spatially localizing kinase components on a scaffold on signaling dynamics. The simulations indicate that a major effect that scaffolds exert on the dynamics of cell signaling is to control how the activation of protein kinases is distributed over time. Scaffolds can influence the timing of kinase activation by allowing for kinases to become activated over a broad range of times, thus allowing for signaling at both early and late times. Scaffold concentrations that result in optimal signal amplitude also result in the broadest distributions of times over which kinases are activated. These calculations provide insights into one mechanism that describes how the duration of a signal can potentially be regulated in a scaffold mediated protein kinase cascade. Our results illustrate another complexity in the broad array of control properties that emerge from the physical effects of spatially localizing components of kinase cascades on scaffold proteins.     

Gibberellin signal transduction presents …the SPY who O-GlcNAc'd me

Although the molecular mechanisms by which plants respond to gibberellins are largely unknown, several components of the signal transduction pathway have been identified and a broad outline of how these components act in signal transduction is emerging. One component of the pathway, SPINDLY, is believed to be an O-GlcNAc transferase that post-translationally modifies cytosolic and nuclear proteins by the addition of O-linked N-acetylglucosamine. Although analysis of the properties of O-GlcNAc-modified proteins from animals has led to the hypothesis that this modification is regulatory, it has not been linked to specific signal transduction pathways.     

PLCγ1 promotes phase separation of T cell signaling components

The T cell receptor (TCR) pathway receives, processes, and amplifies the signal from pathogenic antigens to the activation of T cells. Although major components in this pathway have been identified, the knowledge on how individual components cooperate to effectively transduce signals remains limited. Phase separation emerges as a biophysical principle in organizing signaling molecules into liquid-like condensates. Here, we report that phospholipase Cγ1 (PLCγ1) promotes phase separation of LAT, a key adaptor protein in the TCR pathway. PLCγ1 directly cross-links LAT through its two SH2 domains. PLCγ1 also protects LAT from dephosphorylation by the phosphatase CD45 and promotes LAT-dependent ERK activation and SLP76 phosphorylation. Intriguingly, a nonmonotonic effect of PLCγ1 on LAT clustering was discovered. Computer simulations, based on patchy particles, revealed how the cluster size is regulated by protein compositions. Together, these results define a critical function of PLCγ1 in promoting phase separation of the LAT complex and TCR signal transduction.     

Pattern formation: fruiting body morphogenesis in Myxococcus xanthus

When Myxococcus xanthus cells are exposed to starvation, they respond with dramatic behavioral changes. The expansive swarming behavior stops and the cells begin to aggregate into multicellular fruiting bodies. The cell-surface-associated C-signal has been identified as the signal that induces aggregation. Recently, several of the components in the C-signal transduction pathway have been identified and behavioral analyses are beginning to reveal how the C-signal modulates cell behavior. Together, these findings provide a framework for understanding how a cell-surface-associated morphogen induces pattern formation.     

Checkpoints in a yeast differentiation pathway coordinate signaling during hyperosmotic stress

All eukaryotes have the ability to detect and respond to environmental and hormonal signals. In many cases these signals evoke cellular changes that are incompatible and must therefore be orchestrated by the responding cell. In the yeast Saccharomyces cerevisiae, hyperosmotic stress and mating pheromones initiate signaling cascades that each terminate with a MAP kinase, Hog1 and Fus3, respectively. Despite sharing components, these pathways are initiated by distinct inputs and produce distinct cellular behaviors. To understand how these responses are coordinated, we monitored the pheromone response during hyperosmotic conditions. We show that hyperosmotic stress limits pheromone signaling in at least three ways. First, stress delays the expression of pheromone-induced genes. Second, stress promotes the phosphorylation of a protein kinase, Rck2, and thereby inhibits pheromone-induced protein translation. Third, stress promotes the phosphorylation of a shared pathway component, Ste50, and thereby dampens pheromone-induced MAPK activation. Whereas all three mechanisms are dependent on an increase in osmolarity, only the phosphorylation events require Hog1. These findings reveal how an environmental stress signal is able to postpone responsiveness to a competing differentiation signal, by acting on multiple pathway components, in a coordinated manner.