Qualitative simulation of the initiation of sporulation in <Emphasis Type="Italic">Bacillus subtilis</Emphasis>

Under conditions of nutrient deprivation, the Gram positive soil bacterium Bacillus subtilis can abandon vegetative growth and form a dormant, environmentally-resistant spore instead. The decision to either divide or sporulate is controlled by a large and complex genetic regulatory network integrating various environmental, cell-cycle, and metabolic signals. Although sporulation in B. subtilis is one of the best-understood model systems for prokaryotic development, very little quantitative data on kinetic parameters and molecular concentrations are available. A qualitative simulation method is used to model the sporulation network and simulate the response of the cell to nutrient deprivation. Using this method, we have been able to reproduce essential features of the choice between vegetative growth and sporulation, in particular the role played by competing positive and negative feedback loops.     

A glycosylated type I membrane protein becomes cytosolic when peptide: N-glycanase is compromised

The human cytomegalovirus-encoded glycoprotein US2 catalyzes proteasomal degradation of Class I major histocompatibility complex (MHC) heavy chains (HCs) through dislocation of the latter from the endoplasmic reticulum (ER) to the cytosol. During this process, the Class I MHC HCs are deglycosylated by an N-glycanase-type activity. siRNA molecules designed to inhibit the expression of the light chain, beta(2)-microglobulin, block the dislocation of Class I MHC molecules, which implies that US2-dependent dislocation utilizes correctly folded Class I MHC molecules as a substrate. Here we demonstrate it is peptide: N-glycanase (PNGase or PNG1) that deglycosylates dislocated Class I MHC HCs. Reduction of PNGase activity by siRNA expression in US2-expressing cells inhibits deglycosylation of Class I MHC HC molecules. In PNGase siRNA-treated cells, glycosylated HCs appear in the cytosol, providing the first evidence for the presence of an intact N-linked type I membrane glycoprotein in the cytosol. N-glycanase activity is therefore not required for dislocation of glycosylated Class I MHC molecules from the ER.     

Preferred in vivo ubiquitination sites

MOTIVATION: The conjugation of ubiquitin to target molecules involves several enzymatic steps. Little is known about the specificity of ubiquitination. How E3 ligases select their substrate and which lysines are targeted for ubiquitin conjugation is largely an enigma. The object of this study is to identify preferred ubiquitination sites. Genetic approaches to study this question have proven difficult, because of the redundancy of ligases and the lack of strictly required motifs. However, a better understanding of acceptor site selection could help to predict ubiquitination sites and clarify yet unsolved structure-function relationships of the transfer reaction. RESULTS: In an effort to define preferences for ubiquitination, we systematically analyzed structure and sequence of 135 known ubiquitination sites in 95 proteins in Saccharomyces cerevisiae. The results show clear structural preferences for ubiquitin ligation to target proteins, and compartment-specific amino acid patterns in close proximity to the modified side chain. SUPPLEMENTARY INFORMATION: http://www.people.fas.harvard.edu/~catic.     

Chemistry-based functional proteomics: mechanism-based activity-profiling tools for ubiquitin and ubiquitin-like specific proteases

Determining the biological function of newly discovered gene products requires the development of novel functional approaches. To facilitate this task, recent developments in proteomics include small molecular probes that target proteolytic enzyme families including serine, threonine, and cysteine proteases. For the families of ubiquitin (Ub) and ubiquitin-like (UBL)-specific proteases, such tools were lacking until recently. Here, we review the advances made in the development of protein-based active site-directed probes that target proteases specific for ubiquitin and ubiquitin-like proteins. Such probes were applied successfully to discover and characterize novel Ub/UBL-specific proteases. Ub/UBL processing and deconjugation are performed by a diverse set of proteases belonging to several different enzyme families, including members of the ovarian tumor domain (OTU) protease family. A further definition of this family of enzymes will benefit from a directed chemical proteomics approach. Some of the Ub/UBL-specific proteases react with multiple Ub/UBLs and members of the same protease family can recognize multiple Ub/UBLs, underscoring the need for tools that appropriately address enzyme specificity.     

Canal construction destroys the barrier between major European invasion lineages of the zebra mussel

Since the mid-1980s the zebra mussel, Dreissena polymorpha, Pallas 1771, has become the protagonist of a spectacular freshwater invasion in North America due to its large economic and biological impact. Several genetic studies on American populations have failed to detect any large-scale geographical patterns. In western Europe, where D. polymorpha has been a classical invader from the Pontocaspian since the early 19th century, the situation is strikingly different. Here, we show with genetic markers that two major western European invasion lineages with lowered genetic variability within and among populations can be discriminated. These two invasion lineages correspond with two separate navigable waterways to western Europe. We found a rapid and asymmetrical genetic interchange of the two invasion lines after the construction of the Main-Danube canal in 1992, which interconnected the two waterways across the main watershed.     

Genetic Network Analyzer: qualitative simulation of genetic regulatory networks

MOTIVATION: The study of genetic regulatory networks has received a major impetus from the recent development of experimental techniques allowing the measurement of patterns of gene expression in a massively parallel way. This experimental progress calls for the development of appropriate computer tools for the modeling and simulation of gene regulation processes. RESULTS: We present Genetic Network Analyzer (GNA), a computer tool for the modeling and simulation of genetic regulatory networks. The tool is based on a qualitative simulation method that employs coarse-grained models of regulatory networks. The use of GNA is illustrated by a case study of the network of genes and interactions regulating the initiation of sporulation in Bacillus subtilis. AVAILABILITY: GNA and the model of the sporulation network are available at http://www-helix.inrialpes.fr/gna.     

Dislocation of Type I Membrane Proteins from the ER to the Cytosol Is Sensitive to Changes in Redox Potential

The human cytomegalovirus (HCMV) gene products US2 and US11 dislocate major histocompatibility class I heavy chains from the ER and target them for proteasomal degradation in the cytosol. The dislocation reaction is inhibited by agents that affect intracellular redox potential and/or free thiol status, such as diamide and N-ethylmaleimide. Subcellular fractionation experiments indicate that this inhibition occurs at the stage of discharge from the ER into the cytosol. The T cell receptor α (TCR α) chain is also degraded by a similar set of reactions, yet in a manner independent of virally encoded gene products. Diamide and N-ethylmaleimide likewise inhibit the dislocation of the full-length TCR α chain from the ER, as well as a truncated, mutant version of TCR α chain that lacks cysteine residues. Cytosolic destruction of glycosylated, ER-resident type I membrane proteins, therefore, requires maintenance of a proper redox potential for the initial step of removal of the substrate from the ER environment.     

The membrane potential of Arabidopsis thaliana guard cells; depolarizations induced by apoplastic acidification

The apoplastic pH of guard cells probably acidifies in response to light, since light induces proton extrusion by both guard cells and epidermal leaf cells. From the data presented here, it is concluded that these apoplastic pH changes will affect K⁺ fluxes in guard cells of Arabidopsis thaliana (L.) Heynh. Guard cells of this species were impaled with double-barrelled microelectrodes, to measure the membrane potential (E_m) and the plasma-membrane conductance. Guard cells were found to exhibit two states with respect to their E_m, a depolarized and a hyperpolarized state. Apoplastic acidification depolarized E_m in both states, though the origin of the depolarization differed for each state. In the depolarized state, the change in E_m was the result of a combined pH effect on instantaneously activating conductances and on the slow outward rectifying K⁺ channel (s-ORC). At a more acidic apoplastic pH, the current through instantaneously activated conductances became more inwardly directed, while the maximum conductance of s-ORC decreased. The effect on s-ORC was accompanied by an acceleration of activation and deactivation of the channel. Experiments with acid loading of guard cells indicated that the effect on s-ORC was due to a lowered intracellular pH, caused by apoplastic acidification. In the hyperpolarized state, the pH-induced depolarization was due to a direct effect of the apoplastic pH on the inward rectifying K⁺ channel. Acidification shifted the threshold potential of the channel to more positive values. This effect was accompanied by a decrease in activation times and an increase of deactivation times, of the channel. From the changes in E_m and membrane conductance, the expected effect of acidification on K⁺ fluxes was calculated. It was concluded that apoplastic acidification will increase the K⁺-efflux in the depolarized state and reduce the K⁺-influx in the hyperpolarized state. Received: 28 April 1997 / Accepted: 10 November 1997     

Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort

Background

Lifestyle risk behaviors are responsible for a large proportion of disease burden worldwide. Behavioral risk factors, such as smoking, poor diet, and physical inactivity, tend to cluster within populations and may have synergistic effects on health. As evidence continues to accumulate on emerging lifestyle risk factors, such as prolonged sitting and unhealthy sleep patterns, incorporating these new risk factors will provide clinically relevant information on combinations of lifestyle risk factors.

Methods and Findings

Using data from a large Australian cohort of middle-aged and older adults, this is the first study to our knowledge to examine a lifestyle risk index incorporating sedentary behavior and sleep in relation to all-cause mortality. Baseline data (February 2006– April 2009) were linked to mortality registration data until June 15, 2014. Smoking, high alcohol intake, poor diet, physical inactivity, prolonged sitting, and unhealthy (short/long) sleep duration were measured by questionnaires and summed into an index score. Cox proportional hazards analysis was used with the index score and each unique risk combination as exposure variables, adjusted for socio-demographic characteristics.During 6 y of follow-up of 231,048 participants for 1,409,591 person-years, 15,635 deaths were registered. Of all participants, 31.2%, 36.9%, 21.4%, and 10.6% reported 0, 1, 2, and 3+ risk factors, respectively. There was a strong relationship between the lifestyle risk index score and all-cause mortality. The index score had good predictive validity (c index = 0.763), and the partial population attributable risk was 31.3%. Out of all 96 possible risk combinations, the 30 most commonly occurring combinations accounted for more than 90% of the participants. Among those, combinations involving physical inactivity, prolonged sitting, and/or long sleep duration and combinations involving smoking and high alcohol intake had the strongest associations with all-cause mortality. Limitations of the study include self-reported and under-specified measures, dichotomized risk scores, lack of long-term patterns of lifestyle behaviors, and lack of cause-specific mortality data.

Conclusions

Adherence to healthy lifestyle behaviors could reduce the risk for death from all causes. Specific combinations of lifestyle risk behaviors may be more harmful than others, suggesting synergistic relationships among risk factors.