Single-channel analysis of inactivation-defective rat skeletal muscle sodium channels containing the F1304Q mutation.

The intracellular linker between domains III and IV of the voltage-gated Na channel mediates fast inactivation. Targeted alteration of one or more of a triplet of hydrophobic amino acids within this linker region results in a marked slowing in the decay of ionic current. The mechanism of this defective inactivation was explored in rat skeletal muscle sodium channels (mu 1) containing the F1304Q mutation in Xenopus laevis oocytes with and without coexpression of the rat brain beta 1 subunit. Cell-attached single-channel patch-clamp recordings revealed that the mu 1-F1304Q channel reopens multiple times with open times that are prolonged compared with those of the wild-type channel. Coexpression of the beta 1 subunit stabilized a dominant nonbursting gating mode and accelerated the activation kinetics of mu 1-F1304Q but did not modify mean open time or fast-inactivation kinetics. A Markov gating model incorporating separate fast- and slow-inactivation particles reproduced the results by assuming that the F1304Q mutation specifically influences transitions to and from fast-inactivated states. These effects are independent of interactions of the mutant channel with the beta 1 subunit and do not result from a change in modal gating behavior. These results indicate that F1304Q mutant channels can still enter the inactivated state but do so reversibly and with altered kinetics.     

Proton Inhibition of Sodium Channels: Mechanism of Gating Shifts and Reduced Conductance

Extracellular acidosis affects both permeation and gating of the expressed rat skeletal muscle Na⁺ channel (μ1). Reduction of the extracellular pH produced a progressive decrease in the maximal whole-cell conductance and a depolarizing shift in the whole-cell current-voltage relationship. A smaller depolarizing shift in the steady-state inactivation curve was observed. The pK of the reduction of maximal conductance was 6.1 over the pH range studied. An upper limit estimate of the pK of the shift of the half-activation voltage was 6.1. The relative reduction in the maximal whole-cell conductance did not change with higher [Na⁺] _o . The conductance of single fenvalerate-modified Na⁺ channels was reduced by extracellular protons. Although the single-channel conductance increased with higher [Na⁺] _o , the maximal conductances at pH 7.6, 7.0 and 6.0 did not converge at [Na⁺] _o up to 280 mm, inconsistent with a simple electrostatic effect. A model incorporating both Na⁺ and H⁺ binding in the pore and cation binding to a Gouy-Chapman surface charge provided a robust fit to the single-channel conductance data with an estimated surface charge density of 1e⁻/439?². Neither surface charge nor proton block alone suffices to explain the effects of extracellular acidosis on Na⁺ channel permeation; both effects play major roles in mediating the response to extracellular pH. Received: 14 May 1996/Revised: 19 September 1996     

The impact of long-term nitrogen addition on microbial community composition in three Hawaiian forest soils

We evaluated the microbial communities in three Hawaiian forest soils along a natural fertility gradient and compared their distinct responses to long-term nitrogen (N) additions. The sites studied have the same elevation, climate, and dominant vegetation, but vary in age of development, and thus in soil nutrient availability and nutrient limitation to plant growth. Fertilized plots at each site have received 100 kg ha year(-1) N addition for at least 8 years. Soil parameters, water content, pH, and ammonium and nitrate availability differed by site, but not between control and N-addition treatments within a site at the time of sampling. Microbial biomass also varied by site, but was not affected by N addition. In contrast, microbial community composition (measured by phospholipid analysis) varied among sites and between control and N-addition plots within a site. These data suggest that microbial community composition responds to N addition even when plant net primary productivity is limited by nutrients other than N. This may have implications for the behavior of forests impacted by atmospheric N deposition that are considered to be "nitrogen saturated," yet still retain N in the soil.     

Calmodulin kinase determines calcium-dependent facilitation of L-type calcium channels

A dynamic positive feedback mechanism, known as 'facilitation', augments L-type calcium-ion currents (ICa) in response to increased intracellular Ca2+ concentrations. The Ca2+-binding protein calmodulin (CaM) has been implicated in facilitation, but the single-channel signature and the signalling events underlying Ca2+/CaM-dependent facilitation are unknown. Here we show that the Ca2+/CaM-dependent protein kinase II (CaMK) is necessary and possibly sufficient for ICa facilitation. CaMK induces a channel-gating mode that is characterized by frequent, long openings of L-type Ca2+ channels. We conclude that CaMK-mediated phosphorylation is an essential signalling event in triggering Ca2+/CaM-dependent ICa facilitation.     

Unique Honey Bee (Apis mellifera) Hive Component-Based Communities as Detected by a Hybrid of Phospholipid Fatty-Acid and Fatty-Acid Methyl Ester Analyses

Microbial communities (microbiomes) are associated with almost all metazoans, including the honey bee Apis mellifera. Honey bees are social insects, maintaining complex hive systems composed of a variety of integral components including bees, comb, propolis, honey, and stored pollen. Given that the different components within hives can be physically separated and are nutritionally variable, we hypothesize that unique microbial communities may occur within the different microenvironments of honey bee colonies. To explore this hypothesis and to provide further insights into the microbiome of honey bees, we use a hybrid of fatty acid methyl ester (FAME) and phospholipid-derived fatty acid (PLFA) analysis to produce broad, lipid-based microbial community profiles of stored pollen, adults, pupae, honey, empty comb, and propolis for 11 honey bee hives. Averaging component lipid profiles by hive, we show that, in decreasing order, lipid markers representing fungi, Gram-negative bacteria, and Gram-positive bacteria have the highest relative abundances within honey bee colonies. Our lipid profiles reveal the presence of viable microbial communities in each of the six hive components sampled, with overall microbial community richness varying from lowest to highest in honey, comb, pupae, pollen, adults and propolis, respectively. Finally, microbial community lipid profiles were more similar when compared by component than by hive, location, or sampling year. Specifically, we found that individual hive components typically exhibited several dominant lipids and that these dominant lipids differ between components. Principal component and two-way clustering analyses both support significant grouping of lipids by hive component. Our findings indicate that in addition to the microbial communities present in individual workers, honey bee hives have resident microbial communities associated with different colony components.     

Acid-sensing ion channel 3 mediates peripheral anti-hyperalgesia effects of acupuncture in mice inflammatory pain

Background  

Peripheral tissue inflammation initiates hyperalgesia accompanied by tissue acidosis, nociceptor activation, and inflammation mediators. Recent studies have suggested a significantly increased expression of acid-sensing ion channel 3 (ASIC3) in both carrageenan- and complete Freund's adjuvant (CFA)-induced inflammation. This study tested the hypothesis that acupuncture is curative for mechanical hyperalgesia induced by peripheral inflammation.     

Protein structure similarity from principle component correlation analysis

Background  

Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities.     

Integrating microbial ecology into ecosystem models: challenges and priorities

Microbial communities can potentially mediate feedbacks between global change and ecosystem function, owing to their sensitivity to environmental change and their control over critical biogeochemical processes. Numerous ecosystem models have been developed to predict global change effects, but most do not consider microbial mechanisms in detail. In this idea paper, we examine the extent to which incorporation of microbial ecology into ecosystem models improves predictions of carbon (C) dynamics under warming, changes in precipitation regime, and anthropogenic nitrogen (N) enrichment. We focus on three cases in which this approach might be especially valuable: temporal dynamics in microbial responses to environmental change, variation in ecological function within microbial communities, and N effects on microbial activity. Four microbially-based models have addressed these scenarios. In each case, predictions of the microbial-based models differ—sometimes substantially—from comparable conventional models. However, validation and parameterization of model performance is challenging. We recommend that the development of microbial-based models must occur in conjunction with the development of theoretical frameworks that predict the temporal responses of microbial communities, the phylogenetic distribution of microbial functions, and the response of microbes to N enrichment.