No evidence for a major role of polymorphisms during bupropion treatment

This study evaluated the ability of polymorphisms in five candidate genes to predict weight gain among patients taking bupropion or placebo in a smoking cessation trial. Five hundred fifty-three smokers were enrolled into a randomized double-blind, placebo-controlled trial and followed for 12 months. Five candidate genes [DRD2 Taq1 (rs1800497), DRD2-141 (rs1799732), C957T (rs6277), COMT (rs4818), and SLC6A3] were genotyped. Weights at baseline, at end of treatment, and after 6 and 12 months of follow-up were self-reported. Smoking abstinence at each endpoint was self-reported and confirmed biochemically. A self-reported average weight gain after 12 months of 1.1 +/- 6.0 kg (mean +/- standard deviation) in the bupropion group and 1.8 +/- 4.8 kg in the placebo group was noted. For subjects with biochemically confirmed abstinence from smoking, the HL genotype (alleles coding Val at codon 108 are denoted as H, and those coding Met are denoted as L) at the COMT locus and A1A1 genotype at the DRD2 Taq1 locus were associated with less weight gain at the end of treatment. The TC genotype at the C957T locus was associated with increased weight gain at 6 months of follow-up. However, no polymorphisms or their interactions with bupropion consistently and significantly predicted baseline BMI or weight change during treatment for all study subjects. Overall, our results do not support a major role for these five candidate genes in weight gain after smoking cessation.     

An oxidation-sensing mechanism is used by the global regulator MgrA in Staphylococcus aureus

Staphylococcus aureus is a human pathogen responsible for most wound and hospital-acquired infections. The protein MgrA is both an important virulence determinant during infection and a regulator of antibiotic resistance in S. aureus. The crystal structure of the MgrA homodimer, solved at 2.86 A, indicates the presence of a unique cysteine residue located at the interface of the protein dimer. We discovered that this cysteine residue can be oxidized by various reactive oxygen species, such as hydrogen peroxide and organic hydroperoxide. Cysteine oxidation leads to dissociation of MgrA from DNA and initiation of signaling pathways that turn on antibiotic resistance in S. aureus. The oxidation-sensing mechanism is typically used by bacteria to counter challenges of reactive oxygen and nitrogen species. Our study reveals that in S. aureus, MgrA adopts a similar mechanism but uses it to globally regulate different defensive pathways.     

High density lipoproteins bind Abeta and apolipoprotein C-II amyloid fibrils

Disease-associated amyloid deposits contain both fibrillar and nonfibrillar components. The majority of these amyloid components originate or coexist in the bloodstream. To understand the nature of the interaction between the nonfibrillar and fibrillar components, we have developed a centrifugation method to isolate fibril binding proteins from human serum. Amyloid fibrils composed of either Abeta peptide or apolipoprotein C-II (apoC-II) cosedimented with specific serum proteins. Gel electrophoresis, mass spectrometry peptide fingerprinting, and Western analysis identified the major binding species as proteins found in HDL particles, including apoA-I, apoA-II, apoE, clusterin, and serum amyloid A. Sedimentation analysis showed that purified human HDL and recombinant apoA-I lipid particles bound directly to Abeta and apoC-II amyloid fibrils. These studies reveal a novel function of HDL that may contribute to the well-established protective effect of this lipoprotein class in heart disease.     

A mechanistic model of the cysteine synthase complex

Plants and bacteria assimilate and incorporate inorganic sulfur into organic compounds such as the amino acid cysteine. Cysteine biosynthesis involves a bienzyme complex, the cysteine synthase (CS) complex. The CS complex is composed of the enzymes serine acetyl transferase (SAT) and O-acetyl-serine-(thiol)-lyase (OAS-TL). Although it is experimentally known that formation of the CS complex influences cysteine production, the exact biological function of the CS complex, the mechanism of reciprocal regulation of the constituent enzymes and the structure of the complex are still poorly understood. Here, we used docking techniques to construct a model of the CS complex from mitochondrial Arabidopsis thaliana. The three-dimensional structures of the enzymes were modeled by comparative techniques. The C-termini of SAT, missing in the template structures but crucial for CS formation, were modeled de novo. Diffusional encounter complexes of SAT and OAS-TL were generated by rigid-body Brownian dynamics simulation. By incorporating experimental constraints during Brownian dynamics simulation, we identified complexes consistent with experiments. Selected encounter complexes were refined by molecular dynamics simulation to generate structures of bound complexes. We found that although a stoichiometric ratio of six OAS-TL dimers to one SAT hexamer in the CS complex is geometrically possible, binding energy calculations suggest that, consistent with experiments, a ratio of only two OAS-TL dimers to one SAT hexamer is more likely. Computational mutagenesis of residues in OAS-TL that are experimentally significant for CS formation hindered the association of the enzymes due to a less-favorable electrostatic binding free energy. Since the enzymes from A. thaliana were expressed in Escherichia coli, the cross-species binding of SAT and OAS-TL from E. coli and A. thaliana was explored. The results showed that reduced cysteine production might be due to a cross-binding of A. thaliana OAS-TL with E. coli SAT. The proposed models of the enzymes and their complexes provide mechanistic insights into CS complexation.     

Detecting the molecular signature of social conflict: theory and a test with bacterial quorum sensing genes

Extending social evolution theory to the molecular level opens the door to an unparalleled abundance of data and statistical tools for testing alternative hypotheses about the long-term evolutionary dynamics of cooperation and conflict. To this end, we take a collection of known sociality genes (bacterial quorum sensing [QS] genes), model their evolution in terms of patterns that are detectable using gene sequence data, and then test model predictions using available genetic data sets. Specifically, we test two alternative hypotheses of social conflict: (1) the "adaptive" hypothesis that cheaters are maintained in natural populations by frequency-dependent balancing selection as an evolutionarily stable strategy and (2) the "evolutionary null" hypothesis that cheaters are opposed by purifying kin selection yet exist transiently because of their recurrent introduction into populations by mutation (i.e., kin selection-mutation balance). We find that QS genes have elevated within- and among-species sequence variation, nonsignificant signatures of natural selection, and putatively small effect sizes of mutant alleles, all patterns predicted by our evolutionary null model but not by the stable cheater hypothesis. These empirical findings support our theoretical prediction that QS genes experience relaxed selection due to nonclonality of social groups, conditional expression, and the individual-level advantage enjoyed by cheaters. Furthermore, cheaters are evolutionarily transient, persisting in populations because of their recurrent introduction by mutation and not because they enjoy a frequency-dependent fitness advantage.     

Twist2 contributes to termination of limb bud outgrowth and patterning through direct regulation of Grem1

Twist1 has been demonstrated to play critical roles in the early development of neural crest and mesodermally derived tissues including the limb. Twist2 has been less well characterised but its relatively late onset of expression suggests specific roles in the development of a number of organs. Expression of Twist2 within the developing limbs begins after formation of the limb bud and persists within the peripheral mesenchyme until digital rays condense. We have used RCAS-mediated overexpression in chick to investigate the function of Twist2 in limb development. Viral misexpression following injection into the lateral plate mesoderm results in a spectrum of hypoplastic limb phenotypes. These include generalized shortening of the entire limb, fusion of the autopod skeletal elements, loss of individual digits or distal truncation resulting in complete loss of the autopod. These phenotypes appear to result from a premature termination of limb outgrowth and manifest as defective growth in both the proximal-distal and anterior-posterior axes. In situ hybridisation analysis demonstrates that many components of the Shh/Grem1/Fgf regulatory loop that controls early limb growth and patterning are downregulated by Twist2 overexpression. Grem1 has a complementary expression pattern to Twist2 within the limb primordia and co-expression of both Grem1 and Twist2 results in a rescue of the Twist2 overexpression phenotype. We demonstrate that Twist proteins directly repress Grem1 expression via a regulatory element downstream of the open reading frame. These data indicate that Twist2 regulates early limb morphogenesis through a role in terminating the Shh/Grem1/Fgf autoregulatory loop.     

Origins of altruism diversity ii: runaway coevolution of altruistic strategies via "reciprocal niche construction"

Understanding the evolution of altruism requires knowledge of both its constraints and its drivers. Here we show that, paradoxically, ecological constraints on altruism may ultimately be its strongest driver. We construct a two-trait, coevolutionary adaptive dynamics model of social evolution in a genetically structured population with local resource competition. The intensity of local resource competition, which influences the direction and strength of social selection and which is typically treated as a static parameter, is here allowed to be an evolvable trait. Evolution of survival/fecundity altruism, which requires weak local competition, increases local competition as it evolves, creating negative environmental feedback that ultimately inhibits its further evolutionary advance. Alternatively, evolution of resource-based altruism, which requires strong local competition, weakens local competition as it evolves, also ultimately causing its own evolution to stall. When evolving independently, these altruistic strategies are intrinsically self-limiting. However, the coexistence of these two altruism types transforms the negative ecoevolutionary feedback generated by each strategy on itself into positive feedback on the other, allowing the presence of one trait to drive the evolution of the other. We call this feedback conversion "reciprocal niche construction." In the absence of constraints, this process leads to runaway coevolution of altruism types. We discuss applications to the origins and evolution of eusociality, division of labor, the inordinate ecological success of eusocial species, and the interaction between technology and demography in human evolution. Our theory suggests that the evolution of extreme sociality may often be an autocatalytic process.     

A Single Mutation in a Tunnel to the Active Site Changes the Mechanism and Kinetics of Product Release in Haloalkane Dehalogenase LinB

Many enzymes have buried active sites. The properties of the tunnels connecting the active site with bulk solvent affect ligand binding and unbinding and also the catalytic properties. Here, we investigate ligand passage in the haloalkane dehalogenase enzyme LinB and the effect of replacing leucine by a bulky tryptophan at a tunnel-lining position. Transient kinetic experiments show that the mutation significantly slows down the rate of product release. Moreover, the mechanism of bromide ion release is changed from a one-step process in the wild type enzyme to a two-step process in the mutant. The rate constant of bromide ion release corresponds to the overall steady-state turnover rate constant, suggesting that product release became the rate-limiting step of catalysis in the mutant. We explain the experimental findings by investigating the molecular details of the process computationally. Analysis of trajectories from molecular dynamics simulations with a tunnel detection software reveals differences in the tunnels available for ligand egress. Corresponding differences are seen in simulations of product egress using a specialized enhanced sampling technique. The differences in the free energy barriers for egress of a bromide ion obtained using potential of mean force calculations are in good agreement with the differences in rates obtained from the transient kinetic experiments. Interactions of the bromide ion with the introduced tryptophan are shown to affect the free energy barrier for its passage. The study demonstrates how the mechanism of an enzymatic catalytic cycle and reaction kinetics can be engineered by modification of protein tunnels.     

Incidence of and risks associated with <Emphasis Type="Italic">Giardia</Emphasis> infections in herds on dairy farms in the New York City Watershed

Background  

The primary aims of this study were to determine the incidence of Giardia infections in dairy herds on farms in the New York City Watershed region and to evaluate risk factors associated with infections. Because co-infections of Giardia and Cryptosporidium spp. are common in this population, we also evaluated the effect of herd infection status on Giardia infections.