STITCHER: Dynamic assembly of likely amyloid and prion β‐structures from secondary structure predictions

The supersecondary structure of amyloids and prions, proteins of intense clinical and biological interest, are difficult to determine by standard experimental or computational means. In addition, significant conformational heterogeneity is known or suspected to exist in many amyloid fibrils. Previous work has demonstrated that probability‐based prediction of discrete β‐strand pairs can offer insight into these structures. Here, we devise a system of energetic rules that can be used to dynamically assemble these discrete β‐strand pairs into complete amyloid β‐structures. The STITCHER algorithm progressively ‘stitches’ strand‐pairs into full β‐sheets based on a novel free‐energy model, incorporating experimentally observed amino‐acid side‐chain stacking contributions, entropic estimates, and steric restrictions for amyloidal parallel β‐sheet construction. A dynamic program computes the top 50 structures and returns both the highest scoring structure and a consensus structure taken by polling this list for common discrete elements. Putative structural heterogeneity can be inferred from sequence regions that compose poorly. Predictions show agreement with experimental models of Alzheimer's amyloid beta peptide and the Podospora anserina Het‐s prion. Predictions of the HET‐s homolog HET‐S also reflect experimental observations of poor amyloid formation. We put forward predicted structures for the yeast prion Sup35, suggesting N‐terminal structural stability enabled by tyrosine ladders, and C‐terminal heterogeneity. Predictions for the Rnq1 prion and alpha‐synuclein are also given, identifying a similar mix of homogenous and heterogeneous secondary structure elements. STITCHER provides novel insight into the energetic basis of amyloid structure, provides accurate structure predictions, and can help guide future experimental studies. Proteins 2012. © 2011 Wiley Periodicals, Inc.     

Mechanism for N₂O generation in bacterial nitric oxide reductase: a quantum chemical study

The catalytic mechanism of reduction of NO to N(2)O in the bacterial enzyme nitric oxide reductase has been investigated using hybrid density functional theory and a model of the binuclear center (BNC) based on the newly determined crystal structure. The calculations strongly suggest a so-called cis:b(3) mechanism, while the commonly suggested trans mechanism is found to be energetically unfavorable. The mechanism suggested here involves a stable cis-hyponitrite, and it is shown that from this intermediate one N-O bond can be cleaved without the transfer of a proton or an electron into the binuclear active site, in agreement with experimental observations. The fully oxidized intermediate in the catalytic cycle and the resting form of the enzyme are suggested to have an oxo-bridged BNC with two high-spin ferric irons antiferromagnetically coupled. Both steps of reduction of the BNC after N(2)O formation are found to be pH-dependent, also in agreement with experiment. Finally, it is found that the oxo bridge in the oxidized BNC can react with NO to give nitrite, which explains the experimental observations that the fully oxidized enzyme reacts with NO, and most likely also the observed substrate inhibition at higher NO concentrations.     

Independent axes of genetic variation and parallel evolutionary divergence of opercle bone shape in threespine stickleback

Evolution of similar phenotypes in independent populations is often taken as evidence of adaptation to the same fitness optimum. However, the genetic architecture of traits might cause evolution to proceed more often toward particular phenotypes, and less often toward others, independently of the adaptive value of the traits. Freshwater populations of Alaskan threespine stickleback have repeatedly evolved the same distinctive opercle shape after divergence from an oceanic ancestor. Here we demonstrate that this pattern of parallel evolution is widespread, distinguishing oceanic and freshwater populations across the Pacific Coast of North America and Iceland. We test whether this parallel evolution reflects genetic bias by estimating the additive genetic variance-covariance matrix (G) of opercle shape in an Alaskan oceanic (putative ancestral) population. We find significant additive genetic variance for opercle shape and that G has the potential to be biasing, because of the existence of regions of phenotypic space with low additive genetic variation. However, evolution did not occur along major eigenvectors of G, rather it occurred repeatedly in the same directions of high evolvability. We conclude that the parallel opercle evolution is most likely due to selection during adaptation to freshwater habitats, rather than due to biasing effects of opercle genetic architecture.     

Adenine recognition is a key checkpoint in the energy release mechanism of phage T4 DNA packaging motor

ATP is the source of energy for numerous biochemical reactions in all organisms. Tailed bacteriophages use ATP to drive powerful packaging machines that translocate viral DNA into a procapsid and compact it to near-crystalline density. Here we report that a complex network of interactions dictates adenine recognition and ATP hydrolysis in the pentameric phage T4 large "terminase" (gp17) motor. The network includes residues that form hydrogen bonds at the edges of the adenine ring (Q138 and Q143), base-stacking interactions at the plane of the ring (I127 and R140), and cross-talking bonds between adenine, triphosphate, and Walker A P-loop (Y142, Q143, and R140). These interactions are conserved in other translocases such as type I/type III restriction enzymes and SF1/SF2 helicases. Perturbation of any of these interactions, even the loss of a single hydrogen bond, leads to multiple defects in motor functions. Adenine recognition is therefore a key checkpoint that ensures efficient ATP firing only when the fuel molecule is precisely engaged with the motor. This may be a common feature in the energy release mechanism of ATP-driven molecular machines that carry out numerous biomolecular reactions in biological systems.     

Explanatory Models and Mental Health Treatment: Is Vodou an Obstacle to Psychiatric Treatment in Rural Haiti?

Vodou as an explanatory framework for illness has been considered an impediment to biomedical psychiatric treatment in rural Haiti by some scholars and Haitian professionals. According to this perspective, attribution of mental illness to supernatural possession drives individuals to seek care from houngan-s (Vodou priests) and other folk practitioners, rather than physicians, psychologists, or psychiatrists. This study investigates whether explanatory models of mental illness invoking supernatural causation result in care-seeking from folk practitioners and resistance to biomedical treatment. The study comprised 31 semi-structured interviews with community leaders, traditional healers, religious leaders, and biomedical providers, 10 focus group discussions with community members, community health workers, health promoters, community leaders, and church members; and four in-depth case studies of individuals exhibiting mental illness symptoms conducted in Haiti's Central Plateau. Respondents invoked multiple explanatory models for mental illness and expressed willingness to receive treatment from both traditional and biomedical practitioners. Folk practitioners expressed a desire to collaborate with biomedical providers and often referred patients to hospitals. At the same time, respondents perceived the biomedical system as largely ineffective for treating mental health problems. Explanatory models rooted in Vodou ethnopsychology were not primary barriers to pursuing psychiatric treatment. Rather, structural factors including scarcity of treatment resources and lack of psychiatric training among health practitioners created the greatest impediments to biomedical care for mental health concerns in rural Haiti.     

Flexibility and persistence of chimpanzee (Pan troglodytes) foraging behavior in a captive environment

As a result of environmental variability, animals may be confronted with uncertainty surrounding the presence of, or accessibility to, food resources at a given location or time. While individuals can rely on personal experience to manage this variability, the behavior of members of an individual's social group can also provide information regarding the availability or location of a food resource. The purpose of the present study was to measure how captive chimpanzees individually and collectively adjust their foraging strategies at an artificial termite mound, as the availability of resources provided by the mound varied over a number of weeks. As predicted, fishing activity at the mound was related to resource availability. However, chimpanzees continued to fish at unbaited locations on the days and weeks after a location had last contained food. Consistent with previous studies, our findings show that chimpanzees do not completely abandon previously learned habits despite learning individually and/or socially that the habit is no longer effective.     

A Molecular Enrichment Strategy Based on <Emphasis Type="Italic">cpn</Emphasis>60 for Detection of Epsilon-Proteobacteria in the Dog Fecal Microbiome

Members of the rare microbiome can be important components of complex microbial communities. For example, pet dog ownership is a known risk factor for human campylobacteriosis, and Campylobacter is commonly detected in dog feces by targeted assays. However, these organisms have not been detected by metagenomic methods. The goal of this study was to characterize fecal microbiota from healthy and diarrheic pet dogs using two different levels of molecular detection. PCR amplification and pyrosequencing of the universal cpn60 gene target was used to obtain microbial profiles from each dog. To investigate the relatively rare epsilon-proteobacteria component of the microbiome, a molecular enrichment was carried out using a PCR that first amplified the cpn10–cpn60 region from epsilon-proteobacteria, followed by universal cpn60 target amplification and pyrosequencing. From the non-enriched survey, the major finding was a significantly higher proportion of Bacteroidetes, notably Bacteroides vulgatus, in healthy dogs compared to diarrheic dogs. Epsilon-proteobacteria from the genera Helicobacter and Campylobacter were also detected at a low level in the non-enriched profiles of some dogs. Molecular enrichment increased the proportion of epsilon-proteobacteria sequences detected from each dog, as well as identified novel, presumably rare sequences not seen in the non-enriched profiles. Enriched profiles contained known species of Arcobacter, Campylobacter, Flexispira, and Helicobacter and identified two possibly novel species. These findings add to our understanding of the canine fecal microbiome in general, the epsilon-proteobacteria component specifically, and present a novel modification to traditional metagenomic approaches for study of the rare microbiome.