Good Fences: The Importance of Setting Boundaries for Peaceful Coexistence

We consider the conditions of peace and violence among ethnic groups, testing a theory designed to predict the locations of violence and interventions that can promote peace. Characterizing the model''s success in predicting peace requires examples where peace prevails despite diversity. Switzerland is recognized as a country of peace, stability and prosperity. This is surprising because of its linguistic and religious diversity that in other parts of the world lead to conflict and violence. Here we analyze how peaceful stability is maintained. Our analysis shows that peace does not depend on integrated coexistence, but rather on well defined topographical and political boundaries separating groups, allowing for partial autonomy within a single country. In Switzerland, mountains and lakes are an important part of the boundaries between sharply defined linguistic areas. Political canton and circle (sub-canton) boundaries often separate religious groups. Where such boundaries do not appear to be sufficient, we find that specific aspects of the population distribution guarantee either sufficient separation or sufficient mixing to inhibit intergroup violence according to the quantitative theory of conflict. In exactly one region, a porous mountain range does not adequately separate linguistic groups and that region has experienced significant violent conflict, leading to the recent creation of the canton of Jura. Our analysis supports the hypothesis that violence between groups can be inhibited by physical and political boundaries. A similar analysis of the area of the former Yugoslavia shows that during widespread ethnic violence existing political boundaries did not coincide with the boundaries of distinct groups, but peace prevailed in specific areas where they did coincide. The success of peace in Switzerland may serve as a model to resolve conflict in other ethnically diverse countries and regions of the world.     

Culture-independent approaches for studying viruses from hypersaline environments

Hypersaline close-to-saturation environments harbor an extremely high concentration of virus-like particles, but the number of haloviruses isolated so far is still very low. Haloviruses can be directly studied from natural samples by using different culture-independent techniques that include transmission electron microscopy, pulsed-field gel electrophoresis, and different metagenomic approaches. Here, we review the findings of these studies, with a main focus on the metagenomic approaches. The analysis of bulk viral nucleic acids directly retrieved from the environment allows estimations of viral diversity, activity, and dynamics and tentative host assignment. Results point to a diverse and active viral community in constant interplay with its hosts and to a "hypersalineness" quality common to viral assemblages present in hypersaline environments that are thousands of kilometers away from each other.     

Nevskia aquatilis sp. nov. and Nevskia persephonica sp. nov., isolated from a mineral water aquifer and the emended description of the genus Nevskia

Four isolates, with an optimum temperature of about 30°C and an optimum pH for growth of 6.0-6.5, were recovered from a borehole head of a mineral water aquifer in Portugal and from the stored bottles produced on site. Strains F2-63(T) and F2-178 were yellow-pigmented and formed non-motile rod-shaped cells. Strains G6M-30(T) and G6-54 were whitish-pigmented, translucent and form rod-shaped cells with a polar flagellum. The four strains were strictly aerobic, oxidase and catalase positive. The major fatty acids of strains F2-63(T) and F2-178 were C(18:1)ω7c and C(16:0), and the major fatty acids of strains G6M-30(T) and G6-54 were C(18:1)ω7c and C(16:1)ω7c. Ubiquinone 8 was the major respiratory quinone. Based on 16S rRNA gene sequence analysis, physiological and biochemical characteristics two new species of the genus Nevskia are described; Nevskia aquatilis represented by strains F2-63(T) (=LMG 26345 =CECT 7897) and F2-178 (=LMG 26344 =CECT 7898) and Nevskia persephonica represented by strains G6M-30(T) (=DSM 24987 =CECT 7975) and G6-54 (=DSM 25048 =CECT 7976).     

Membrane topology screen of secondary transport proteins in structural class ST[3] of the MemGen classification. Confirmation and structural diversity

The MemGen structural classification of membrane proteins groups families of proteins by hydropathy profile alignment. Class ST[3] of the MemGen classification contains 32 families of transporter proteins including the IT superfamily. Transporters from 19 different families in class ST[3] were evaluated by the TopScreen experimental topology screening method to verify the structural classification by MemGen. TopScreen involves the determination of the cellular disposition of three sites in the polypeptide chain of the proteins which allows for discrimination between different topology models. For nearly all transporters at least one of the predicted localizations is different in the models produced by MemGen and predictor TMHMM. Comparison to the experimental data showed that in all cases the prediction by MemGen was correct. It is concluded that the structural model available for transporters of the [st324]ESS and [st326]2HCT families is also valid for the other families in class ST[3]. The core structure of the model consists of two homologous domains, each containing 5 transmembrane segments, which have an opposite orientation in the membrane. A reentrant loop is present in between the 4th and 5th segments in each domain. Nearly all of the identified and experimentally confirmed structural variations involve additions of transmembrane segments at the boundaries of the core model, at the N- and C-termini or in between the two domains. Most remarkable is a domain swap in two subfamilies of the [st312]NHAC family that results in an inverted orientation of the proteins in the membrane.     

Phosphorylation of adaptor protein containing pleckstrin homology domain, phosphotyrosine binding domain, and leucine zipper motif 1 (APPL1) at Ser430 mediates endoplasmic reticulum (ER) stress-induced insulin resistance in hepatocytes

APPL1 is an adaptor protein that plays a critical role in regulating adiponectin and insulin signaling. However, how APPL1 is regulated under normal and pathological conditions remains largely unknown. In this study, we show that APPL1 undergoes phosphorylation at Ser(430) and that this phosphorylation is enhanced in the liver of obese mice displaying insulin resistance. In cultured mouse hepatocytes, APPL1 phosphorylation at Ser(430) is stimulated by phorbol 12-myristate 13-acetate, an activator of classic PKC isoforms, and by the endoplasmic reticulum (ER) stress inducer, thapsigargin. Overexpression of wild-type but not dominant negative PKCα increases APPL1 phosphorylation at Ser(430) in mouse hepatocytes. In addition, suppressing PKCα expression by shRNA in hepatocytes reduces ER stress-induced APPL1 phosphorylation at Ser(430) as well as the inhibitory effect of ER stress on insulin-stimulated Akt phosphorylation. Consistent with a negative regulatory role of APPL1 phosphorylation at Ser(430) in insulin signaling, overexpression of APPL1(S430D) but not APPL1(S430A) impairs the potentiating effect of APPL1 on insulin-stimulated Akt phosphorylation at Thr(308). Taken together, our results identify APPL1 as a novel target in ER stress-induced insulin resistance and PKCα as the kinase mediating ER stress-induced phosphorylation of APPL1 at Ser(430).     

Structural and functional analysis of the kid toxin protein from E. coli plasmid R1

We have determined the structure of Kid toxin protein from E. coli plasmid R1 involved in stable plasmid inheritance by postsegregational killing of plasmid-less daughter cells. Kid forms a two-component system with its antagonist, Kis antitoxin. Our 1.4 A crystal structure of Kid reveals a 2-fold symmetric dimer that closely resembles the DNA gyrase-inhibitory toxin protein CcdB from E. coli F plasmid despite the lack of any notable sequence similarity. Analysis of nontoxic mutants of Kid suggests a target interaction interface associated with toxicity that is in marked contrast to that proposed for CcdB. A possible region for interaction of Kid with the antitoxin is proposed that overlaps with the target binding site and may explain the mode of antitoxin action.