Phenotypic effects of thermal mean and fluctuations on embryonic development and hatchling traits in a lacertid lizard, Takydromus septentrionalis

How fluctuating temperatures influence reptilian embryos and hatchlings has attracted increasing scientific attention, but is poorly known. We conducted an incubation experiment with a factorial design of two mean temperatures (24 vs. 28 degrees C) and three diel thermal fluctuations (0, +/-3, +/-6 degrees C) to determine the effects of diel thermal fluctuations and mean temperature on incubation duration and hatchling phenotypes. Both diel thermal fluctuations and mean temperature significantly affected incubation duration, but not hatching success. Incubation duration increased with increasing temperature fluctuations at a mean temperature of 24 degrees C, but not at a mean temperature of 28 degrees C. The significant interaction between diel thermal fluctuations and mean temperature on hatchling morphology indicated that the effect of thermal fluctuations depended on the mean temperature. Hatchling mass differed significantly between 24+/-6 and 28+/-6 degrees C, but not between the two constant temperatures or the temperatures with +/-3 degrees C fluctuations. At a mean temperature of 24 degrees C, the effect of thermal fluctuations on hatchling size was marginally significant, with relatively large hatchlings at the constant temperature; at a mean temperature of 28 degrees C, thermal fluctuations had no impact on hatchling size. The locomotor performances were significantly affected by mean temperature rather than diel thermal fluctuations. Therefore, diel thermal fluctuations around a given mean temperature do not affect hatchling phenotypes in a relatively large magnitude, but the influence of diel thermal fluctuations may differ with changing mean temperatures.     

Growth,stress, and acclimation responses to fluctuating temperatures in field and domesticated populations of Manduca sexta

Diurnal fluctuations in temperature are ubiquitous in terrestrial environments, and insects and other ectotherms have evolved to tolerate or acclimate to such fluctuations. Few studies have examined whether ectotherms acclimate to diurnal temperature fluctuations, or how natural and domesticated populations differ in their responses to diurnal fluctuations. We examine how diurnally fluctuating temperatures during development affect growth, acclimation, and stress responses for two populations of Manduca sexta: a field population that typically experiences wide variation in mean and fluctuations in temperature, and a laboratory population that has been domesticated in nearly constant temperatures for more than 300 generations. Laboratory experiments showed that diurnal fluctuations throughout larval development reduced pupal mass for the laboratory but not the field population. The differing effects of diurnal fluctuations were greatest at higher mean temperature (30°C): Here diurnal fluctuations reduced pupal mass and increased pupal development time for the laboratory population, but had little effect for the field population. We also evaluated how mean and fluctuations in temperature during early larval development affected growth rate during the final larval instar as a function of test temperature. At an intermediate (25°C) mean temperature, both the laboratory and field population showed a positive acclimation response to diurnal fluctuations, in which subsequent growth rate was significantly higher at most test temperatures. In contrast at higher mean temperature (30°C), diurnal fluctuations significantly reduced subsequent growth rate at most test temperatures for the laboratory population, but not for the field population. These results suggest that during domestication in constant temperatures, the laboratory population has lost the capacity to tolerate or acclimate to high and fluctuating temperatures. Population differences in acclimation capacity in response to temperature fluctuations have not been previously demonstrated, but they may be important for understanding the evolution of reaction norms and performance curves.     

Synchronous fluctuations of LH and FSH in plasma samples collected daily during the estrous cycle in mares

Circulating concentrations of LH and FSH in each of 12 mares were measured in daily blood samples from 3 d before until 3 d after an interovulatory interval (ovulation=Day 0). The interval was normalized to its mean length (22 d) and partitioned into periods relative to high and low (first significant increase and decrease: Days 3 and 14, respectively) mean FSH concentrations. The resulting experimental periods were as follows: 1) Days −3 to 2 corresponding to the periovulatory period, 2) Days 3 to 14 corresponding to the luteal period, and 3) Days −7 to 3 corresponding to the follicular-periovulatory period. An adaptive threshold method was used to detect peak concentrations of LH and FSH fluctuations. There was no significant difference in the number of detected LH fluctuations per mare among the 3 periods (means, 1.2, 1.8, 1.6 fluctuations, respectively). However, more (P<0.05) FSH fluctuations per mare were detected during the luteal period (mean, 2.4 fluctuations) than during the periovulatory period (mean, 0.5 fluctuations) and follicular-periovulatory period (mean, 1.2 fluctuations). Synchronous LH and FSH fluctuations, defined as the simultaneous detection of peak concentrations of fluctuations, occurred more (P<0.05) often per mare during the luteal period (mean, 1.3 fluctuations) than during the periovulatory period (mean, 0.1 fluctuations) and follicular-periovulatory period (mean, 0.2 fluctuations). During the luteal period, concentrations of LH peaked (P<0.05) during FSH fluctuations and, conversely, concentrations of FSH peaked (P<0.05) during LH fluctuations, indicating a high degree of coupling between the 2 gonadotropins. In summary, fluctuations of LH and FSH occurred in synchrony with a high degree of coupling between them during the luteal period, but not during the periovulatory and follicular-periovulatory periods.     

Thermal fluctuations in membranes and the problem of mechanoreception

In order to estimate thermal fluctuations in erythrocyte and mechanoreceptor membranes the transverse fluctuations of plane and spherical bilayer membranes and the fluctuations of the surface of a part of such a membrane, possessing disc shape of the radius R are calculated. The obtained values of the transverse fluctuations are two orders smaller than in the paper [5]. Total plane fluctuations of the disc with R=5.10(-7) cm are some orders higher than the threshold values epsilonpi of relative deformation in mechanoreceptor membranes, but their value in the frequency range of 0 dividied by 20 kHz is of the same order as epsilonpi. The estimates of fluctuations are also produced for Pacinian corpuscle membrane and for the globular protein molecule. The conditions necessary for high sensitivity of mechanoreceptor membranes are the large value of Young modulus E and low membrane viscosity eta.     

Hydrogen exchange and proteolytic degradation of ribonuclease A. Similarities and distinctions of the kinetic mechanisms

The studies by IR spectroscopy of the temperature dependence of the H-D exchange rate of the RNase A peptide NH atoms permit one to characterize two types of conformation fluctuations, local and global. A comparison with the temperature dependence of the proteolytic degradation rate of RNase A shows that similar in nature fluctuations allow for the H-D exchange of NH atoms and the splitting of peptide bonds of the native protein. In the low temperature region, both processes occur through local fluctuations, by way of the EX2 mechanism, and in the high temperature region, they occur through global fluctuations with the overall denaturation desorganization of the native structure, by way of the EX1 mechanism. The biphasic dependence of the rate of H-D exchange and proteolytic degradation of RNase A on urea concentration is also explained by the combination of local and global fluctuations.     

Spontaneous electrical activity in shoots of Ipomoea,Pisum and Xanthium

Summary Extracellular recordings from light-grown shoots of Ipomoea and Xanthium contain trains of spontaneous fluctuations which resemble action potentials. The rise time of the putative action potentials is usually in the range from 1 to 50 ms. Their duration is most frequently between 100 and 400 ms, but they may be either briefer or, in the presence of unusual shoulders, much longer. Their separation interval is typically between 0.1 and 10 s. The trains may last from 1 s to over 2 h.Spontaneous fluctuations also occur individually in shoots of Ipomoea, Xanthium, and Pisum. Although the shapes, rise times, and durations of the individual fluctuations fall within the same range as do those of repetitive fluctuations, a greater number of the individual spikes have a relatively slow time course and a higher apparent amplitude. At times, recordings have periods of activity which appear to result from the superposition of numerous individual fluctuations.There is no evidence that any of the fluctuations propagate, but propagation cannot be excluded on the basis of the extracellular recordings. The fluctuations occur in both dark and light. There is no strong evidence for the occurrence of spontaneous fluctuations in roots.     

Population Fluctuations and Synchrony of Grassland Butterflies in Relation to Species Traits

Population fluctuations and synchrony influence population persistence; species with larger fluctuations and more synchronised population fluctuations face higher extinction risks. Here, we analyse the effect of diet specialisation, mobility, length of the flight period, and distance to the northern edge of the species’ distribution in relation to between-year population fluctuations and synchrony of butterfly species. All butterfly species associated with grasslands were surveyed over five successive years at 19 grassland sites in a forest-dominated landscape (50 km²) in southern Sweden. At both the local and regional level, we found larger population fluctuations in species with longer flight periods. Population fluctuations were more synchronous among localities in diet specialists. Species with a long flight period might move more to track nectar resources compared to species with shorter flight period, and if nectar sources vary widely between years and localities it may explain that population fluctuations increase with increasing flight length. Diet generalists can use different resources (in this case host plants) at different localities and this can explain the lower synchrony in population fluctuations among generalist species. Higher degree of synchrony is one possible explanation for the higher extinction risks that have been observed for more specialised species. Therefore, diet specialists are more often threatened and require more conservation efforts than generalists.     

Regulatory control and the costs and benefits of biochemical noise

Experiments in recent years have vividly demonstrated that gene expression can be highly stochastic. How protein concentration fluctuations affect the growth rate of a population of cells is, however, a wide-open question. We present a mathematical model that makes it possible to quantify the effect of protein concentration fluctuations on the growth rate of a population of genetically identical cells. The model predicts that the population's growth rate depends on how the growth rate of a single cell varies with protein concentration, the variance of the protein concentration fluctuations, and the correlation time of these fluctuations. The model also predicts that when the average concentration of a protein is close to the value that maximizes the growth rate, fluctuations in its concentration always reduce the growth rate. However, when the average protein concentration deviates sufficiently from the optimal level, fluctuations can enhance the growth rate of the population, even when the growth rate of a cell depends linearly on the protein concentration. The model also shows that the ensemble or population average of a quantity, such as the average protein expression level or its variance, is in general not equal to its time average as obtained from tracing a single cell and its descendants. We apply our model to perform a cost-benefit analysis of gene regulatory control. Our analysis predicts that the optimal expression level of a gene regulatory protein is determined by the trade-off between the cost of synthesizing the regulatory protein and the benefit of minimizing the fluctuations in the expression of its target gene. We discuss possible experiments that could test our predictions.     

Moment expansions in spatial ecological models and moment closure through Gaussian approximation

We describe the dynamics of competing species in terms of interactions between spatial moments. We close the moment hierarchy by employing a Gaussian approximation which assumes that fluctuations are independent and distributed normally about the mean values. The Gaussian approximation provides the lowest-order systematic correction to the mean-field approximation by incorporating the effect of fluctuations. When there are no fluctuations in the system, the mean equations agree with the Gaussian approximation as the fluctuations are weak. As the fluctuations gain strength, they influence the mean quantities and hence the Gaussian approximation departs from the mean-field approximation. At large fluctuation levels, the Gaussian approximation breaks down, as may be explained by the bimodality and skewness of the fluctuation distribution of the partial differential equation.     

Synchronous and nonsynchronous population fluctuations of some predators and their prey in central Sweden

To test the alternative prey hypothesis (APH), we examined 29-yr time series of bank voles (indexed by snap-trapping) and 6 game species (indexed by bag records) from Gavleborg county, central Sweden, for the occurrence of synchronous population fluctuations Only voles and the 3 grouse species exhibited cyclic fluctuations, grouse fluctuations were highly synchronous, and positively correlated with vole fluctuations Although hares were positively correlated with grouse, they were negatively correlated with voles Fox were positively correlated with voles and grouse, however, a strong negative relationship was observed between fox and hares During a sharp decline in fox numbers during the early 1980's due to sarcoptic mange, both grouse and hares exhibited a strong positive numerical response, but, not in synchrony In addition, grouse exhibited large fluctuations during the fox decrease whereas hares did not Due to the contradictory predator-prey interactions observed, these results provide only partial support for APH     

Rotifer Nervous System Visualized by FMRFamide and 5-HT Immunocytochemistry and Confocal Laser Scanning Microscopy

The characteristic ecology of floodplain lakes is in part due to their relatively strong water-level fluctuations. We analyzed the factors determining water-level fluctuations in 100 floodplain lakes (during non-flooded conditions) in the active floodplains of the Lower Rhine in the Netherlands. Furthermore, we explored the relationship between water-level fluctuations and macrophyte species richness, and analyzed the suitability of artificially created lakes for macrophyte vegetation. During non-flooded conditions along the Rhine, lake water-level fluctuations are largely driven by groundwater connection to the river. Hence, water-level fluctuations are largest in lakes close to the main channel in strongly fluctuating sectors of the river and smallest in isolated lakes. Additionally, water-level fluctuations are usually small in old lakes, mainly due to reduced groundwater hydraulic conductivity resulting from accumulated clay and silt on the bottom. Species richness of floating-leaved and emergent macrophytes was reduced at both small and large water-level fluctuations, whereas species richness of submerged macrophytes was reduced at small water-level fluctuations only. In addition, species richness of submerged macrophytes was higher in lakes that experienced drawdown, whereas no similar pattern was detected for floating-leaved and emergent macrophytes. The decline in amplitude of lake water-level with lake age implies that the number of hydrologically dynamic lakes will decrease over time. Therefore, we suggest that excavation of new lakes is essential to conserve the successional sequence of floodplain water bodies including conditions of high biodiversity. Shallow, moderately isolated, lakes with occasional bottom exposure have the highest potential for creating macrophyte-rich floodplain lakes along large lowland rivers. The water-level regime of such lakes can in part be designed, through choice of the location along the river, the distance away from the river and the depth profile of the lake.     

Open channel noise. II. A test for coupling between current fluctuations and conformational transitions in the acetylcholine receptor.

The first paper of this series demonstrated that the open-channel currents in the acetylcholine receptors in cultured rat muscle show fluctuations on a time scale of approximately 1 ms. In this paper the hypothesis is tested that these fluctuations are coupled to the gating mechanism that opens and closes the channel. Such a coupling could arise if the channel current and the energy barrier for gating transitions both showed fluctuations having a common origin such as a motion of part of the receptor molecule. A test for coupled fluctuations is made by averaging approximately 1,000 channel opening or closing transitions to search for the small relaxation in the current that is predicted. At a resolution of approximately 1% of the single-channel current amplitude, no such relaxation is observed. It is concluded that any coupled fluctuations are small; fluctuations in the energy barrier for the open-closed conformational transition must be smaller than about 0.3 kT.     

Transient and sustained effects of hormones and calcium on membrane potential in a bone cell clone

Measurements were made of the electrophysiological and cAMP response to changes in extracellular [Ca2+] and to hormone application in a bone cell clone. Both transient and long-term electrophysiological responses were studied. An increase in extracellular [Ca2+] usually resulted in a transient hyperpolarization of about 60-sec duration. In addition, increases in extracellular [Ca2+] from 0.9 to 1.8 mM and from 1.8 to 3.6 mM resulted in long-term hyperpolarization and increased potential fluctuations. Increasing bathing [Ca2+] until the membrane potential reached the K+ equilibrium level resulted in a significant decrease in fluctuations. Addition to the bathing medium of quinine, a putative blocker of the Ca2+-dependent K+ channel, resulted in long-term depolarization of the mean membrane potential, and a long-term decrease in potential fluctuations. Addition of Mg2+, a mild antagonist of Ca2+ entry into the cell, produced transient depolarization and reduction of potential fluctuations. These effects suggest that the potential fluctuations reflect cytoplasmic [Ca2+] fluctuations via Ca2+-dependent K+ membrane channels. Under an extracellular [Ca2+] of 1.8 mM, the application of prostaglandin E2 (PGE2), isoproterenol, and parathyroid hormone produced no significant effect on mean membrane potential or on the sustained potential fluctuations, but PGE2 did significantly raise intracellular cAMP. Under an increased bathing [Ca2+], significant changes in mean potential and fluctuations did occur in response to PGE2, but not in response to the other hormones, while the PGE2 effect on cAMP was not greatly changed. Hyperpolarizing transients of about 30-sec duration occurred in response to all of the hormones, particularly at an extracellular [Ca2+] of 3.6 mM. Thus, there are both transient and long-term electrophysiological responses to hormone application, with only the long-term response correlated with the production of cAMP. These electrophysiological responses may represent separate transient and long-term calcium transport responses to hormone application.     

Colored extrinsic fluctuations and stochastic gene expression

Stochasticity is both exploited and controlled by cells. Although the intrinsic stochasticity inherent in biochemistry is relatively well understood, cellular variation, or ‘noise’, is predominantly generated by interactions of the system of interest with other stochastic systems in the cell or its environment. Such extrinsic fluctuations are nonspecific, affecting many system components, and have a substantial lifetime, comparable to the cell cycle (they are ‘colored’). Here, we extend the standard stochastic simulation algorithm to include extrinsic fluctuations. We show that these fluctuations affect mean protein numbers and intrinsic noise, can speed up typical network response times, and can explain trends in high‐throughput measurements of variation. If extrinsic fluctuations in two components of the network are correlated, they may combine constructively (amplifying each other) or destructively (attenuating each other). Consequently, we predict that incoherent feedforward loops attenuate stochasticity, while coherent feedforwards amplify it. Our results demonstrate that both the timescales of extrinsic fluctuations and their nonspecificity substantially affect the function and performance of biochemical networks.     

A canonical model of multistability and scale-invariance in biological systems

Multistability and scale-invariant fluctuations occur in a wide variety of biological organisms from bacteria to humans as well as financial, chemical and complex physical systems. Multistability refers to noise driven switches between multiple weakly stable states. Scale-invariant fluctuations arise when there is an approximately constant ratio between the mean and standard deviation of a system's fluctuations. Both are an important property of human perception, movement, decision making and computation and they occur together in the human alpha rhythm, imparting it with complex dynamical behavior. Here, we elucidate their fundamental dynamical mechanisms in a canonical model of nonlinear bifurcations under stochastic fluctuations. We find that the co-occurrence of multistability and scale-invariant fluctuations mandates two important dynamical properties: Multistability arises in the presence of a subcritical Hopf bifurcation, which generates co-existing attractors, whilst the introduction of multiplicative (state-dependent) noise ensures that as the system jumps between these attractors, fluctuations remain in constant proportion to their mean and their temporal statistics become long-tailed. The simple algebraic construction of this model affords a systematic analysis of the contribution of stochastic and nonlinear processes to cortical rhythms, complementing a recently proposed biophysical model. Similar dynamics also occur in a kinetic model of gene regulation, suggesting universality across a broad class of biological phenomena.     

A model for characterizing residential ground current and magnetic field fluctuations

The current through the residential grounding circuit is an important source for magnetic fields; field variations near the grounding circuit accurately track fluctuations in this ground current. In this paper, a model is presented which permits calculation of the range of these fluctuations. A discrete network model is used to simulate a local distribution system for a single street, and a statistical model to simulate unbalanced currents in the system. Simulations of three-house and ten-house networks show that random appliance operation leads to ground current fluctuations which can be quite large, on the order of 600%. This is consistent with measured fluctuations in an actual house. © 1994 Wiley-Liss, Inc.     

Persistence of the control of the fluctuations of heart rate in the anesthetized and pithed adult rat. Effect of enteraminergic drugs]

Spontaneous fluctuations in heart rate were analyzed by spectral analysis in the ether anesthetized and pithed adult rat. In order to investigate the changes in the spectral pattern of the fluctuations, the selective 5HT-2 and -3 isoreceptor blockers ritanserin and BRL 43694A were used. In both the experimental conditions, ritanserin blockade led to dose-dependent increased fluctuations in HR low and high frequencies. In both the anesthetized and pithed rats, the low frequency range HR fluctuations were drastically reduced by BRL 43694A.     

The risk of competitive exclusion during evolutionary branching: Effects of resource variability, correlation and autocorrelation

Evolutionary branching has been suggested as a mechanism to explain ecological speciation processes. Recent studies indicate however that demographic stochasticity and environmental fluctuations may prevent branching through stochastic competitive exclusion. Here we extend previous theory in several ways; we use a more mechanistic ecological model, we incorporate environmental fluctuations in a more realistic way and we include environmental autocorrelation in the analysis. We present a single, comprehensible analytical result which summarizes most effects of environmental fluctuations on evolutionary branching driven by resource competition. Corroborating earlier findings, we show that branching may be delayed or impeded if the underlying resources have uncorrelated or negatively correlated responses to environmental fluctuations. There is also a strong impeding effect of positive environmental autocorrelation, which can be related to results from recent experiments on adaptive radiation in bacterial microcosms. In addition, we find that environmental fluctuations can lead to cycles of repeated branching and extinction.     

Seasonal fluctuations of resource abundance and avian feeding guilds across forest–farmland boundaries in tropical Africa

Seasonal fluctuations in climatic factors are expected to increase in future decades. However, little is known about the response of tropical species communities to seasonal fluctuations in climate and resource availability, particularly across different habitat types. We examined the relationship between spatio‐temporal fluctuations in the abundance of fruits and invertebrates and two avian feeding guilds, i.e. frugivores and insectivores, in forest and farmland habitats in western Kenya. Fruits and invertebrates fluctuated substantially throughout the year, but seasonal fluctuations were asynchronous between the two habitat types. Species richness and total abundance of frugivores and insectivores also fluctuated strongly and were closely related to the abundance of their respective resources. Frugivore species richness fluctuated anti‐cyclical in forest and farmland habitats, suggesting that several frugivorous species tracked fruit resources across habitat boundaries. In contrast, insectivorous bird richness fluctuated synchronously in the two habitat types, suggesting a lack of local‐scale movements across habitat boundaries. We conclude that bird communities strongly respond to seasonal fluctuations in resource availability, but responses differ between feeding guilds. While frugivores seem to respond flexibly to seasonal fluctuations, for instance by tracking fruit resources across habitat boundaries, insectivorous birds appear to be more susceptible to the expected increase in seasonal fluctuations in resource availability.