Lipid modulation of ion channels through specific binding sites

Ion channel conformational changes within the lipid membrane are a key requirement to control ion passage. Thus, it seems reasonable to assume that lipid composition should modulate ion channel function. There is increasing evidence that this implicates not just an indirect consequence of the lipid influence on the physical properties of the membrane, but also specific binding of selected lipids to certain protein domains. The result is that channel function and its consequences on excitability, contractility, intracellular signaling or any other process mediated by such channel proteins, could be subjected to modulation by membrane lipids. From this it follows that development, age, diet or diseases that alter lipid composition should also have an influence on those cellular properties. The wealth of data on the non-annular lipid binding sites in potassium channel from Streptomyces lividans (KcsA) makes this protein a good model to study the modulation of ion channel structure and function by lipids. The fact that this protein is able to assemble into clusters through the same non-annular sites, resulting in large changes in channel activity, makes these sites even more interesting as a potential target to develop lead compounds able to disrupt such interactions and hopefully, to modulate ion channel function. This Article is Part of a Special Issue Entitled: Membrane Structure and Function: Relevance in the Cell's Physiology, Pathology and Therapy.     

Revisiting the bilayer structures of fluid phase phosphatidylglycerol lipids: Accounting for exchangeable hydrogens

We recently published two papers detailing the structures of fluid phase phosphatidylglycerol (PG) lipid bilayers (Ku?erka et al., 2012 J. Phys. Chem. B 116: 232–239; Pan et al., 2012 Biochim. Biophys. Acta Biomembr. 1818: 2135–2148), which were determined using the scattering density profile model. This hybrid experimental/computational technique utilizes molecular dynamics simulations to parse a lipid bilayer into components whose volume probabilities follow simple analytical functional forms. Given the appropriate scattering densities, these volume probabilities are then translated into neutron scattering length density (NSLD) and electron density (ED) profiles, which are used to jointly refine experimentally obtained small angle neutron and X-ray scattering data. However, accurate NSLD and ED profiles can only be obtained if the bilayer's chemical composition is known. Specifically, in the case of neutron scattering, the lipid's exchangeable hydrogens with aqueous D₂O must be accounted for, as they can have a measureable effect on the resultant lipid bilayer structures. This was not done in our above-mentioned papers. Here we report on the molecular structures of PG lipid bilayers by appropriately taking into account the exchangeable hydrogens. Analysis indicates that the temperature-averaged PG lipid areas decrease by 1.5 to 3.8 Å², depending on the lipid's acyl chain length and unsaturation, compared to PG areas when hydrogen exchange was not taken into account.     

Stationary Gating of GluN1/GluN2B Receptors in Intact Membrane Patches

NMDA receptors are heteromeric glutamate-gated channels composed of GluN1 and GluN2 subunits. Receptor isoforms that differ in their GluN2-subunit type (A-D) are expressed differentially throughout the central nervous system and have distinct kinetic properties in recombinant systems. How specific receptor isoforms contribute to the functions generally attributed to NMDA receptors remains unknown, due in part to the incomplete functional characterization of individual receptor types and unclear molecular composition of native receptors. We examined the stationary gating kinetics of individual rat recombinant GluN1/GluN2B receptors in cell-attached patches of transiently transfected HEK293 cells and used kinetic analyses and modeling to describe the full range of this receptor's gating behaviors. We found that, like GluN1/GluN2A receptors, GluN1/GluN2B receptors have three gating modes that are distinguishable by their mean open durations. However, for GluN1/GluN2B receptors, the modes also differed markedly in their mean closed durations and thus generated a broader range of open probabilities. We also found that regardless of gating mode, glutamate dissociation occurred ∼4-fold more slowly (k₋ = 15 s⁻¹) compared to that observed in GluN1/GluN2A receptors. On the basis of these results, we suggest that slow glutamate dissociation and modal gating underlie the long heterogeneous activations of GluN1/GluN2B receptors.     

Monte Carlo integration over stepping stone models for spatial genetic inference using approximate Bayesian computation

Approximate Bayesian computation (ABC) substitutes simulation for analytic models in Bayesian inference. Simulating evolutionary scenarios under Kimura’s stepping stone model (KSS) might therefore allow inference over spatial genetic process where analytical results are difficult to obtain. ABC first creates a reference set of simulations and would proceed by comparing summary statistics over KSS simulations to summary statistics from localities sampled in the field, but: comparison of which localities and stepping stones? Identical stepping stones can be arranged so two localities fall in the same stepping stone, nearest or diagonal neighbours, or without contact. None is intrinsically correct, yet some choice must be made and this affects inference. We explore a Bayesian strategy for mapping field observations onto discrete stepping stones. We make Sundial, for projecting field data onto the plane, available. We generalize KSS over regular tilings of the plane. We show Bayesian averaging over the mapping between a continuous field area and discrete stepping stones improves the fit between KSS and isolation by distance expectations. We make Tiler Durden available for carrying out this Bayesian averaging. We describe a novel parameterization of KSS based on Wright’s neighbourhood size, placing an upper bound on the geographic area represented by a stepping stone and make it available as m Vector. We generalize spatial coalescence recursions to continuous and discrete space cases and use these to numerically solve for KSS coalescence previously examined only using simulation. We thus provide applied and analytical resources for comparison of stepping stone simulations with field observations.     

Efficient,Noninvasive Genetic Sampling for Monitoring Reintroduced Wolves

ABSTRACT Traditional methods of monitoring gray wolves (Canis lupus) are expensive and invasive and require extensive efforts to capture individual animals. Noninvasive genetic sampling (NGS) is an alternative method that can provide data to answer management questions and complement already-existing methods. In a 2-year study, we tested this approach for Idaho gray wolves in areas of known high and low wolf density. To focus sampling efforts across a large study area and increase our chances of detecting reproductive packs, we visited 964 areas with landscape characteristics similar to known wolf rendezvous sites. We collected scat or hair samples from 20% of sites and identified 122 wolves, using 8–9 microsatellite loci. We used the minimum count of wolves to accurately detect known differences in wolf density. Maximum likelihood and Bayesian single-session population estimators performed similarly and accurately estimated the population size, compared with a radiotelemetry population estimate, in both years, and an average of 1.7 captures per individual were necessary for achieving accurate population estimates. Subsampling scenarios revealed that both scat and hair samples were important for achieving accurate population estimates, but visiting 75% and 50% of the sites still gave reasonable estimates and reduced costs. Our research provides managers with an efficient and accurate method for monitoring high-density and low-density wolf populations in remote areas.     

Adaptation and functional integration in primate phylogenetics

In two areas of phylogenetics, contrary predictions have been developed and maintained for character analysis and weighting. With regard to adaptation, many have argued that adaptive characters are poorly suited to phylogenetic analysis because of a propensity for homoplasy, while others have argued that complex adaptive characters should be given high weight because homoplasy in complex characters is unlikely. Similarly, with regard to correlated sets of characters, one point of view is that such sets should be collapsed into a single character-a single piece of phylogenetic evidence. Another point of view is that a suite of correlated characters should be emphasized in phylogenetics, again because recurrence of detailed similarity in the same suite of features is unlikely. In this paper, I discuss the theoretical background of adaptation and functional integration with respect to phylogenetic systematics of primates. Several character examples are reviewed with regard to their functional morphology and phylogenetic signal: postorbital structures, tympanic morphology, fusion of the mandibular symphysis, the tooth comb, strepsirrhine talar morphology, and the prehensile tail. It is clear when considering characters such as these that some characters are synapomorphic of major clades and at the same time functionally important. This appears particularly to be the case when characters are integrated into a complex and maintained as stable configurations. Rather than being simply a problem in character analysis, processes of integration may help to explain the utility of phylogenetically informative characters. On the other hand, the character examples also highlight the difficulty in forming a priori predictions about a character's phylogenetic signal. Explanations of patterns of character evolution are often clade-specific, which does not allow for a simple framework of character selection and/or weighting.     

Regulation of TRPV5 Single-Channel Activity by Intracellular pH

The transient receptor potential channel TRPV5 contributes to the apical entry pathway for transcellular calcium reabsorption in the kidney. Acid load causes hypercalciuria in animals and humans. We have previously reported that intracellular protons directly inhibit TRPV5. Here, we examined the effects of intracellular pH on single-channel activity of TRPV5. We found that TRPV5 channels exhibit full and subconductance open states in excised inside–out patches of Chinese hamster ovary cells. The slope conductance values (Na⁺ as a charge carrier, between −25 and −75 mV) for full and subconductance opening at intracellular pH 7.4 were 59 ± 6 and 29 ± 3 pS, respectively. Intracellular acidification caused a small decrease in single-channel conductance. Importantly, intracellular acidification decreased open probability for the full and subconductance states and increased probability for closing. To investigate how intracellular protons decrease open probability of the channel, we proposed a simple three-state model for open–subconductance–closed state transition and examined the effects of acidification on the respective forward and reverse rate constants. We found that intracellular acidification decreases opening of TRPV5 predominantly by promoting a transition from the subconductance to the closed state. Thus, intracellular acidification directly inhibits TRPV5 by causing a conformational change(s) leading to a decrease of open probability of TRPV5 as well as of the single-channel conductance. Seung-Kuy Cha and Wasey Jabbar contributed equally to this work.     

Evolution of budding yeast prion-determinant sequences across diverse fungi

Prions are transmissible self-replicating alternative states of proteins. Four prions ([PSI+], [URE3], [RNQ+] and [NU+]) can be inherited cytoplasmically in Saccharomyces cerevisiae laboratory strains. In the case of [PSI+], there is increasing evidence that prion formation may engender mechanisms to uncover hidden genetic variation. Here, we have analysed the evolution of the prion-determinant (PD) domains across 21 fungi, focusing on compositional biases, repeats and substitution rates. We find evidence for constraint on all four PD domains, but each domain has its own evolutionary dynamics. For [PSI+], the Q/N bias is maintained in fungal clades that diverged one billion years ago, with purifying selection observed within the Saccharomyces species. The degree of Q/N bias is correlated with the degree of local homology to prion-associated repeats, which occur rarely in other proteins (<1% of sequences for the proteomes studied). The evolutionary conservation of Q/N bias in Sup35p is unusual, with only eight other S. cerevisiae proteins showing similar, phylogenetically deep patterns of bias conservation. The [URE3] PD domain is unique to Hemiascomycota; part of the PD domain shows purifying selection, whereas another part engenders bias changes between clades. Also, like for Sup35p, the [RNQ+] and [NU+] PD domains show purifying selection in Saccharomyces species. Additionally, in each proteome, we observe on average several hundred yeast-prion-like domains, with fewest in fission yeast. Our findings on yeast prion evolution provide further support for the functional significance of these molecules.