Component and state separation in DMPC/DSPC lipid bilayers: a Monte Carlo simulation study

In this paper a two-state, two-component, Ising-type model is used to simulate the lateral distribution of the components and gel/fluid state acyl chains in dimyristoylphosphatidylcholine/distearoylphosphatidylcholine (DMPC/DSPC) lipid bilayers. The same model has been successful in calculating the excess heat capacity curves, the fluorescence recovery after photobleaching (FRAP) threshold temperatures, the most frequent center-to-center distances between DSPC clusters, and the fractal dimensions of gel clusters (Sugar, I. P., T. E. Thompson, and R. L. Biltonen, 1999. Biophys. J. 76:2099-2110). Depending on the temperature and mole fraction the population of the cluster size is either homogeneous or inhomogeneous. In the inhomogeneous population the size of the largest cluster scales with the size of the system, while the rest of the clusters remain small with increasing system size. In a homogeneous population, however, every cluster remains small with increasing system size. For both compositional and fluid/gel state clusters, threshold temperatures-the so-called percolation threshold temperatures-are determined where change in the type of the population takes place. At a given mole fraction, the number of percolation threshold temperatures can be 0, 1, 2, or 3. By plotting these percolation threshold temperatures on the temperature/mole fraction plane, the diagrams of component and state separation of DMPC/DSPC bilayers are constructed. In agreement with the small-angle neutron scattering measurements, the component separation diagram shows nonrandom lateral distribution of the components not only in the gel-fluid mixed phase region, but also in the pure gel and pure fluid regions. A combined diagram of component and state separation is constructed to characterize the lateral distribution of lipid components and gel/fluid state acyl chains in DMPC/DSPC mixtures. While theoretical phase diagrams of two component mixtures can be constructed only in the case of first-order transitions, state and component separation diagrams can be constructed whether or not the system is involved in first-order transition. The effects of interchain interactions on the component and state separation diagrams are demonstrated on three different models. The influences of state and component separation on the in-plane and off-plane membrane reactions are discussed.     

Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a Survey on the impact of the COVID-19 pandemic in Spain

Web surveys have replaced Face-to-Face and computer assisted telephone interviewing (CATI) as the main mode of data collection in most countries. This trend was reinforced as a consequence of COVID-19 pandemic-related restrictions. However, this mode still faces significant limitations in obtaining probability-based samples of the general population. For this reason, most web surveys rely on nonprobability survey designs. Whereas probability-based designs continue to be the gold standard in survey sampling, nonprobability web surveys may still prove useful in some situations. For instance, when small subpopulations are the group under study and probability sampling is unlikely to meet sample size requirements, complementing a small probability sample with a larger nonprobability one may improve the efficiency of the estimates. Nonprobability samples may also be designed as a mean for compensating for known biases in probability-based web survey samples by purposely targeting respondent profiles that tend to be underrepresented in these surveys. This is the case in the Survey on the impact of the COVID-19 pandemic in Spain (ESPACOV) that motivates this paper. In this paper, we propose a methodology for combining probability and nonprobability web-based survey samples with the help of machine-learning techniques. We then assess the efficiency of the resulting estimates by comparing them with other strategies that have been used before. Our simulation study and the application of the proposed estimation method to the second wave of the ESPACOV Survey allow us to conclude that this is the best option for reducing the biases observed in our data.     

The flavodoxin from Helicobacter pylori: structural determinants of thermostability and FMN cofactor binding

Flavodoxin has been recently recognized as an essential protein for a number of pathogenic bacteria including Helicobacter pylori, where it has been proposed to constitute a target for antibacterial drug development. One way we are exploring to screen for novel inhibitory compounds is to perform thermal upshift assays, for which a detailed knowledge of protein thermostability and cofactor binding properties is of great help. However, very little is known on the stability and ligand binding properties of H. pylori flavodoxin, and its peculiar FMN binding site together with the variety of behaviors observed within the flavodoxin family preclude extrapolations. We have thus performed a detailed experimental and computational analysis of the thermostability and cofactor binding energetics of H. pylori flavodoxin, and we have found that the thermal unfolding equilibrium is more complex that any other previously described for flavodoxins as it involves the accumulation of two distinct equilibrium intermediates. Fortunately the entire stability and binding data can be satisfactorily fitted to a model, summarized in a simple phase diagram, where the cofactor only binds to the native state. On the other hand, we show how variability of thermal unfolding behavior within the flavodoxin family can be predicted using structure-energetics relationships implemented in the COREX algorithm. The different distribution and ranges of local stabilities of the Anabaena and H. pylori apoflavodoxins explain the essential experimental differences observed: much lower Tm1, greater resistance to global unfolding, and more pronounced cold denaturation in H. pylori. Finally, a new strategy is proposed to identify using COREX structural characteristics of equilibrium intermediate states populated during protein unfolding.     

Enhancement of Survival and Electricity Production in an Engineered Bacterium by Light-Driven Proton Pumping

Microorganisms can use complex photosystems or light-dependent proton pumps to generate membrane potential and/or reduce electron carriers to support growth. The discovery that proteorhodopsin is a light-dependent proton pump that can be expressed readily in recombinant bacteria enables development of new strategies to probe microbial physiology and to engineer microbes with new light-driven properties. Here, we describe functional expression of proteorhodopsin and light-induced changes in membrane potential in the bacterium Shewanella oneidensis strain MR-1. We report that there were significant increases in electrical current generation during illumination of electrochemical chambers containing S. oneidensis expressing proteorhodopsin. We present evidence that an engineered strain is able to consume lactate at an increased rate when it is illuminated, which is consistent with the hypothesis that proteorhodopsin activity enhances lactate uptake by increasing the proton motive force. Our results demonstrate that there is coupling of a light-driven process to electricity generation in a nonphotosynthetic engineered bacterium. Expression of proteorhodopsin also preserved the viability of the bacterium under nutrient-limited conditions, providing evidence that fulfillment of basic energy needs of organisms may explain the widespread distribution of proteorhodopsin in marine environments.Classic experiments in microbial bioenergetics used light-driven reactions from halobacterial bacteriorhodopsin or the photosynthetic reaction center to provide a temporary driving force for understanding transport and chemiosmotic coupling (6, 7, 19, 35). However, light-driven reactions have not been used in metabolic engineering to alter microbial physiology and production of chemicals. The recent discovery of proteorhodopsin (PR) in ocean microorganisms and the ease with which this membrane protein can be functionally expressed by recombinant bacteria have made possible many engineering strategies previously not available (1, 16). In this paper, we describe progress toward the goal of integrating light-driven reactions with biocatalysis.In contrast to the situation for established industrial microorganisms, such as Escherichia coli, our current understanding of less-studied algal and phototrophic bacteria may limit metabolic engineering strategies which require genetic manipulation. Metabolic engineering strategies using photosynthetic bacteria have focused largely on methods to increase hydrogen production, and improvements rely mainly on engineering of nitrogenase and hydrogenase to produce H₂. Algae appear to be suited to large-scale cultivation for lipid production, but so far little has been done to engineer these organisms (36). In principle, platform microbial hosts capable of producing a diverse range of products could be boosted by addition of light-driven processes from phototrophic metabolism.To demonstrate the feasibility of transferring a light-driven process into a nonphotosynthetic bacterium, we chose to study proteorhodopsin (PR) first because it is one of the simplest mechanisms for harnessing the energy from light. The proteorhodopsins are a group of transmembrane proteins that use the light-induced isomerization of retinal, the oxidative cleavage product of the carotenoid β-carotene, either to initiate signaling pathways or to catalyze the transfer of ions across cell membranes (8). PR was discovered by metagenomic analysis of marine samples (1) and is related to the well-studied bacteriorhodopsin of archaea (33) and rhodopsin (34), a eukaryotic light-sensing protein. The membrane potential generated by light-driven proton pumping by PR has been confirmed to drive ATP synthesis in a heterologous system (25). However, bacteria expressing heterologous PR were shown not to benefit from this pumping activity, as no significant increases in growth rates were observed (9). This led to the suggestion that PR may benefit the organism only under starvation conditions. In agreement with this hypothesis, Gomez-Consarnau et al. (10) have reported that the light-dependent growth rates of a marine flavobacterium that has a native PR are increased only when the organism is cultured under energy-limited conditions.Studies of both native and recombinant systems in which rhodopsins are expressed have generated light-dependent membrane potentials. In membrane vesicles isolated from a native host, the light-dependent membrane potential generated by bacteriorhodopsin provides the driving force for ATP synthesis (35) and uptake of leucine and glutamate (20, 22). More recently, studies of recombinant systems have coupled the membrane potential to other transport processes. In one example, the membrane potential-dependent export of specific toxic molecules increased when E. coli cells expressing both an archaeal rhodopsin and a specific efflux pump were exposed to light (17). In another experiment, starved E. coli cells expressing PR increased the swimming motion of their flagella when they were illuminated (44). Based upon measurements of flagellar motion as a function of light intensity and azide concentration, the proton motive force generated by PR was estimated to be −0.2 V, a value similar to the value for aerobic respiration in E. coli (42).As a nonphotosynthetic host for recombinant PR expression, we chose the dissimilatory metal-reducing bacterium Shewanella oneidensis strain MR-1, which is genetically tractable for engineering and is able to use a variety of terminal electron acceptors, including insoluble metal oxides (11, 30). Key to the ability of this bacterium to reduce metal oxides is a multicomponent extracellular respiratory pathway that transports electrons from menaquinol to cytochromes in the outer membrane. This pathway is composed of a cytoplasmic membrane tetraheme protein (CymA), a periplasmic decaheme protein (MtrA), an integral outer membrane protein (MtrB), and a decaheme lipoprotein (MtrC) that is associated with MtrB (14, 37, 40). The ability of S. oneidensis to reduce extracellular metal oxides has made it possible to harvest electrons from this organism by coupling it to an electrode which serves as the electron acceptor (21). The electron flow to the outer surface allows respiration rates to be measured directly by electrochemistry.In the current work, we introduced PR into an electricity-generating bacterium, S. oneidensis strain MR-1, and demonstrated that there was integration of a light-driven process into the metabolism of a previously nonphotosynthetic organism that resulted in a useful output. We show here that PR allows cells to survive for extended periods in stationary phase and that the presence of light results in an increase in electricity generation. A possible physiological model to explain these effects is discussed.     

Mitochondrial DNA of ancient Cumanians: culturally Asian steppe nomadic immigrants with substantially more western Eurasian mitochondrial DNA lineages

The Cumanians were originally Asian pastoral nomads who in the 13th century migrated to Hungary. We have examined mitochondrial DNA from members of the earliest Cumanian population in Hungary from two archeologically well-documented excavations and from 74 modern Hungarians from different rural locations in Hungary. Haplogroups were defined based on HVS I sequences and examinations of haplogroup-associated polymorphic sites of the protein coding region and of HVS II. To exclude contamination, some ancient DNA samples were cloned. A database was created from previously published mtDNA HVS I sequences (representing 2,615 individuals from different Asian and European populations) and 74 modem Hungarian sequences from the present study. This database was used to determine the relationships between the ancient Cumanians, modern Hungarians, and Eurasian populations and to estimate the genetic distances between these populations. We attempted to deduce the genetic trace of the migration of Cumanians. This study is the first ancient DNA characterization of an eastern pastoral nomad population that migrated into Europe. The results indicate that, while still possessing a Central Asian steppe culture, the Cumanians received a large admixture of maternal genes from more westerly populations before arriving in Hungary. A similar dilution of genetic, but not cultural, factors may have accompanied the settlement of other Asian nomads in Europe.     

Modulation of excitatory neurotransmission by neuronal/glial signalling molecules: interplay between purinergic and glutamatergic systems

Glutamate is the main excitatory neurotransmitter of the central nervous system (CNS), released both from neurons and glial cells. Acting via ionotropic (NMDA, AMPA, kainate) and metabotropic glutamate receptors, it is critically involved in essential regulatory functions. Disturbances of glutamatergic neurotransmission can be detected in cognitive and neurodegenerative disorders. This paper summarizes the present knowledge on the modulation of glutamate-mediated responses in the CNS. Emphasis will be put on NMDA receptor channels, which are essential executive and integrative elements of the glutamatergic system. This receptor is crucial for proper functioning of neuronal circuits; its hypofunction or overactivation can result in neuronal disturbances and neurotoxicity. Somewhat surprisingly, NMDA receptors are not widely targeted by pharmacotherapy in clinics; their robust activation or inhibition seems to be desirable only in exceptional cases. However, their fine-tuning might provide a promising manipulation to optimize the activity of the glutamatergic system and to restore proper CNS function. This orchestration utilizes several neuromodulators. Besides the classical ones such as dopamine, novel candidates emerged in the last two decades. The purinergic system is a promising possibility to optimize the activity of the glutamatergic system. It exerts not only direct and indirect influences on NMDA receptors but, by modulating glutamatergic transmission, also plays an important role in glia-neuron communication. These purinergic functions will be illustrated mostly by depicting the modulatory role of the purinergic system on glutamatergic transmission in the prefrontal cortex, a CNS area important for attention, memory and learning.     

Effect of Cattle on Salmonella Carriage,Diversity and Antimicrobial Resistance in Free-Ranging Wild Boar (Sus scrofa) in Northeastern Spain

Salmonella is distributed worldwide and is a pathogen of economic and public health importance. As a multi-host pathogen with a long environmental persistence, it is a suitable model for the study of wildlife-livestock interactions. In this work, we aim to explore the spill-over of Salmonella between free-ranging wild boar and livestock in a protected natural area in NE Spain and the presence of antimicrobial resistance. Salmonella prevalence, serotypes and diversity were compared between wild boars, sympatric cattle and wild boars from cattle-free areas. The effect of age, sex, cattle presence and cattle herd size on Salmonella probability of infection in wild boars was explored by means of Generalized Linear Models and a model selection based on the Akaike’s Information Criterion. Prevalence was higher in wild boars co-habiting with cattle (35.67%, CI 95% 28.19–43.70) than in wild boar from cattle-free areas (17.54%, CI 95% 8.74–29.91). Probability of a wild boar being a Salmonella carrier increased with cattle herd size but decreased with the host age. Serotypes Meleagridis, Anatum and Othmarschen were isolated concurrently from cattle and sympatric wild boars. Apart from serotypes shared with cattle, wild boars appear to have their own serotypes, which are also found in wild boars from cattle-free areas (Enteritidis, Mikawasima, 4:b:- and 35:r:z35). Serotype richness (diversity) was higher in wild boars co-habiting with cattle, but evenness was not altered by the introduction of serotypes from cattle. The finding of a S. Mbandaka strain resistant to sulfamethoxazole, streptomycin and chloramphenicol and a S. Enteritidis strain resistant to ciprofloxacin and nalidixic acid in wild boars is cause for public health concern.