Genetic testing of dung identification for antelope surveys in the Udzungwa Mountains, Tanzania

Dung counts are frequently employed to infer abundance of antelope species in African forests, but the accuracy of dung identification has rarely been tested. We used non-invasive genetic methods to test the accuracy of both field identification and morphometrics for identifying dung samples collected in the Udzungwa Mountains, Tanzania. Species identity was established by sequencing part of the mitochondrial control region from faecal DNA. Field identification was found to be correct in only 58–76% of cases depending on the observer. Discriminant analysis of dung pellet length correctly classified 80% of samples but a larger reference sample size is needed before using this method to classify dung of unknown origin. The results of this study illustrate the potential inaccuracy of dung counts as a monitoring tool for sympatric forest antelope species when the probability of correct identification is unknown. We recommend molecular testing of species identity during forest antelope surveys before conclusions are drawn on the basis of other identification methods.     

Straightforward and complete deposition of NMR data to the PDBe

We present a suite of software for the complete and easy deposition of NMR data to the PDB and BMRB. This suite uses the CCPN framework and introduces a freely downloadable, graphical desktop application called CcpNmr Entry Completion Interface (ECI) for the secure editing of experimental information and associated datasets through the lifetime of an NMR project. CCPN projects can be created within the CcpNmr Analysis software or by importing existing NMR data files using the CcpNmr FormatConverter. After further data entry and checking with the ECI, the project can then be rapidly deposited to the PDBe using AutoDep, or exported as a complete deposition NMR-STAR file. In full CCPN projects created with ECI, it is straightforward to select chemical shift lists, restraint data sets, structural ensembles and all relevant associated experimental collection details, which all are or will become mandatory when depositing to the PDB. Instructions and download information for the ECI are available from the PDBe web site at http://www.ebi.ac.uk/pdbe/nmr/deposition/eci.html.     

Multiple alpha1-adrenergic receptor subtypes support synergistic stimulation of vasopressin and oxytocin release by ATP and phenylephrine

Simultaneous exposure of explants of the hypothalamo-neurohypophyseal system (HNS) to ATP and the α(1)-adrenergic receptor (α(1)-R) agonist, phenylephrine (ATP+PE) induces a synergistic stimulation of vasopressin and oxytocin (VP/OT) release that is sustained for hours. The current studies confirm that the synergism is dependent upon activation of α(1)-R by demonstrating that an α(1)-R antagonist prevents the response. The role of the α(1)A, B, and D-adrenergic receptor subtypes in the synergistic effect of ATP+PE on intracellular calcium ([Ca(2+)](i)) in supraoptic nucleus (SON) neurons and VP/OT release from neural lobe was evaluated. The increase in [Ca(2+)](i) induced by PE in SON predominantly reflects release from intracellular stores and is mediated by activation of the α(1)A adrenergic receptor subtype. The α(1)A subtype is also required for the sustained elevation in [Ca(2+)](i) induced by ATP+PE. In contrast, although synergistic stimulation of VP/OT release was eliminated by removal of PE and was blunted by benoxathian, an α(1)-R antagonist that is not subtype selective, no single α(1)-R subtype selective antagonist prevented sustained stimulation of VP/OT release by ATP+PE. Thus, sustained activation of α(1)-R is essential for the synergistic VP and OT response to ATP+PE, but multiple α(1)-R subtypes can support the response. Redundancy amongst the α(1)-R subunits in supporting this response is consistent with the predicted importance of the response for sustaining the elevated VP release required to prevent cardiovascular collapse during hemorrhage and sepsis.     

Tolerant food sharing and reciprocity is precluded by despotism among bonobos but not chimpanzees

Tolerant food sharing among human foragers can largely be explained by reciprocity. In contrast, food sharing among chimpanzees and bonobos may not always reflect reciprocity, which could be explained by different dominance styles: in egalitarian societies reciprocity is expressed freely, while in more despotic groups dominants may hinder reciprocity. We tested the degree of reciprocity and the influence of dominance on food sharing among chimpanzees and bonobos in two captive groups. First, we found that chimpanzees shared more frequently, more tolerantly, and more actively than bonobos. Second, among chimpanzees, food received was the best predictor of food shared, indicating reciprocal exchange, whereas among bonobos transfers were mostly unidirectional. Third, chimpanzees had a shallower and less linear dominance hierarchy, indicating that they were less despotic than bonobos. This suggests that the tolerant and reciprocal sharing found in chimpanzees, but not bonobos, was made possible by the absence of despotism. To investigate this further, we tested the relationship between despotism and reciprocity in grooming using data from an additional five groups and five different study periods on the main groups. The results showed that i) all chimpanzee groups were less despotic and groomed more reciprocally than bonobo groups, and ii) there was a general negative correlation between despotism and grooming reciprocity across species. This indicates that an egalitarian hierarchy may be more common in chimpanzees, at least in captivity, thus fostering reciprocal exchange. We conclude that a shallow dominance hierarchy was a necessary precondition for the evolution of human‐like reciprocal food sharing. Am J Phys Anthropol 143:41–51, 2010. © 2010 Wiley‐Liss, Inc.     

A comprehensive test of the ‘limiting resources’ framework applied to plant tolerance to apical meristem damage

Tolerance to apical meristem damage (AMD) is a form of plant defense against herbivory. Theoretical models come to different conclusions about the effects of inorganic soil nutrient levels on tolerance to AMD, and different plants have shown different relationships between these variables. To assign some order to these disparate patterns and to resolve conflicts among the models, the ‘limiting resources model’ (LRM) was developed. However, we believe that the LRM is actually comprised of several different models, which we describe. Our study marks the first comprehensive and simultaneous test of the entire LRM framework, treating it explicitly as separate models, which also evaluates the models’ underlying assumptions. We studied tolerance to AMD in laboratory‐reared natural populations of Arabidopsis thaliana from three different regions of Europe, spanning a wide latitudinal gradient. We show that, in different populations of this species, basic responses to nutrients and damage are best described by different models, which are based on different assumptions and make different predictions. This demonstrates the need for complexity in our explanations, and suggests that no one existing model can account for all relationships between tolerance to AMD and nutrients. Our results also demonstrate that fruit production can provide a misleading approximation of fitness in A. thaliana, contrary to the common assumption in the literature.     

Receptor Specificity of Influenza A H3N2 Viruses Isolated in Mammalian Cells and Embryonated Chicken Eggs

Isolation of human subtype H3N2 influenza viruses in embryonated chicken eggs yields viruses with amino acid substitutions in the hemagglutinin (HA) that often affect binding to sialic acid receptors. We used a glycan array approach to analyze the repertoire of sialylated glycans recognized by viruses from the same clinical specimen isolated in eggs or cell cultures. The binding profiles of whole virions to 85 sialoglycans on the microarray allowed the categorization of cell isolates into two groups. Group 1 cell isolates displayed binding to a restricted set of α2-6 and α2-3 sialoglycans, whereas group 2 cell isolates revealed receptor specificity broader than that of their egg counterparts. Egg isolates from group 1 showed binding specificities similar to those of cell isolates, whereas group 2 egg isolates showed a significantly reduced binding to α2-6- and α2-3-type receptors but retained substantial binding to specific O- and N-linked α2-3 glycans, including α2-3GalNAc and fucosylated α2-3 glycans (including sialyl Lewis x), both of which may be important receptors for H3N2 virus replication in eggs. These results revealed an unexpected diversity in receptor binding specificities among recent H3N2 viruses, with distinct patterns of amino acid substitution in the HA occurring upon isolation and/or propagation in eggs. These findings also suggest that clinical specimens containing viruses with group 1-like receptor binding profiles would be less prone to undergoing receptor binding or antigenic changes upon isolation in eggs. Screening cell isolates for appropriate receptor binding properties might help focus efforts to isolate the most suitable viruses in eggs for production of antigenically well-matched influenza vaccines.Influenza A viruses are generally isolated and propagated in embryonated chicken eggs or in cultures of cells of mammalian origin. Human influenza viruses were previously noted to acquire mutations in the hemagglutinin (HA) gene upon isolation and culture in the allantoic sac of embryonated chicken eggs (herein simply referred to as “eggs”) compared to the sequences of those isolated in mammalian cell substrates (herein referred to as “cells”) (29, 30, 44, 53, 58). These mutations resulted in amino acid substitutions that were found to mediate receptor specificity changes and improved viral replication efficiency in eggs (37). In general, cell-grown viruses are assumed to be more similar than their egg-grown counterparts to the viruses present in respiratory secretions (30, 56). Since their emergence in 1968, influenza A (H3N2) viruses have evolved and adapted to the human host while losing their ability to be efficiently isolated and replicate in eggs, particularly after 1992 (37, 42, 48). The rate of isolation of H3N2 clinical specimens after inoculation into eggs can be up to ∼30 times lower than that in mammalian cell cultures, highlighting the strong selective pressure for the emergence of sequence variants (77).Virtually all influenza vaccines for human use were licensed decades ago by national regulatory authorities, which used a product manufactured from influenza viruses isolated and propagated exclusively in eggs; therefore, cell culture isolates have been unacceptable for this purpose (41, 71). The antigen composition of influenza vaccines requires frequent updates (every 2 years, on average) to closely match their antigenic properties to the most prevalent circulating antigenic drift variant viruses (51). The limited availability of H3N2 viruses isolated in eggs has on one or more occasions delayed vaccine composition updates and may have reduced the efficacy of vaccination against new antigenically drifted viruses (3, 34, 37).Entry of influenza viruses into host cells is mediated by HA, which binds to sialic acid containing glycoconjugates on the surface of epithelial cells in the upper respiratory tract (2, 13). The nature of the linkage between sialic acid and the vicinal sugar (usually galactose) varies in different host species and tissues and may therefore determine whether an influenza virus binds to and infects avian or human cells (40, 46, 59, 62, 72-75). Human influenza viruses preferentially bind to α2-6-linked sialic acids, and avian viruses predominantly bind to α2-3-linked sialic acids (59). Previous studies with chicken embryo chorioallantoic membranes revealed differential lectin binding, suggesting that α2-3-linked but not α2-6-linked sialosides are present on the epithelial cells (28). Human H3N2 viruses isolated in cell culture were reported to bind with a high affinity to α2-6-linked sialosides, while viruses isolated in eggs often had increased specificity for α2-3-linked sialosides (19, 20, 28). The functional classification of avian and mammalian influenza virus receptors is further complicated since in vitro and tissue-binding assays have led to new working hypotheses involving glycan chain length, topology, and the composition of the inner fragments of the carbohydrate chain as additional receptor specificity determinants (9, 17, 65, 66, 82). However, the significance of these in vitro properties remains unknown, since the structures of the natural sialosides on host cells that are used for infectious virus entry are undefined.The techniques most widely used to study the interactions of the influenza virus with host cell receptors employ animal cells in various assay formats (36, 57, 59, 64, 69). To overcome the problems of cell-based techniques, new assays that rely on labeled sialyl-glycoproteins or polymeric sialoglycans have been developed (18). However, these assays are limited by having only a few glycans available in polymeric form and offer low throughput. In contrast, glycan microarrays can assess virus binding to multiple well-defined glycans simultaneously. Previous work with influenza live or β-propiolactone (BPL)-inactivated virions as well as recombinantly produced HAs revealed a good correlation with receptor specificity compared to that achieved by other methods of analysis (4, 11, 57, 58, 65-68).Here we have compared paired isolates derived in eggs or cell cultures from the single clinical specimen to better understand their receptor binding specificity and its implications for vaccine production. We examined the differences in the sequences of the HAs between egg- and cell-grown isolates and analyzed their receptor binding profiles using glycan microarrays. Sequence analysis of the HA and glycan binding results revealed two distinct groups of viruses, with many egg isolates showing unexpectedly reduced levels of binding to α2-3 and α2-6 sialosides compared to the levels for the viruses isolated in mammalian cells. Furthermore, these studies highlighted that specific glycans may be important for H3N2 virus growth in eggs.     

Structure–activity relationships and in vivo activity of (1H-pyrazol-4-yl)acetamide antagonists of the P2X7 receptor

Structure–activity relationships (SAR) of analogues of lead compound 1 were investigated and compound 16 was selected for further study in animal models of pain. Compound 16 was shown to be a potent antihyperalgesic agent in both the rat acute complete Freund’s adjuvant (CFA) model of inflammatory pain [Iadarola, M. J.; Douglass, J.; Civelli, O.; Naranjo, J. R. rain Res. 1988, 455, 205] and the knee joint model of chronic inflammatory pain [Wilson, A. W.; Medhurst, S. J.; Dixon, C. I.; Bontoft, N. C.; Winyard, L. A.; Brackenborough, K. T.; De Alba, J.; Clarke, C. J.; Gunthorpe, M. J.; Hicks, G. A.; Bountra, C.; McQueen, D. S.; Chessell, I. P. Eur. J. Pain 2006, 10, 537].     

<Emphasis Type="Italic">In vitro</Emphasis> and <Emphasis Type="Italic">ex vivo</Emphasis> effect of hyaluronic acid on erythrocyte flow properties

Background  

Hyaluronic acid (HA) is present in many tissues; its presence in serum may be related to certain inflammatory conditions, tissue damage, sepsis, liver malfunction and some malignancies. In the present work, our goal was to investigate the significance of hyaluronic acid effect on erythrocyte flow properties. Therefore we performed in vitro experiments incubating red blood cells (RBCs) with several HA concentrations. Afterwards, in order to corroborate the pathophysiological significance of the results obtained, we replicated the in vitro experiment with ex vivo RBCs from diagnosed rheumatoid arthritis (RA) patients, a serum HA-increasing pathology.     

A meta‐analysis of dispersal in butterflies

Dispersal has recently gained much attention because of its crucial role in the conservation and evolution of species facing major environmental changes such as habitat loss and fragmentation, climate change, and their interactions. Butterflies have long been recognized as ideal model systems for the study of dispersal and a huge amount of data on their ability to disperse has been collected under various conditions. However, no single ‘best’ method seems to exist leading to the co‐occurrence of various approaches to study butterfly mobility, and therefore a high heterogeneity among data on dispersal across this group. Accordingly, we here reviewed the knowledge accumulated on dispersal and mobility in butterflies, to detect general patterns. This meta‐analysis specifically addressed two questions. Firstly, do the various methods provide a congruent picture of how dispersal ability is distributed across species? Secondly, is dispersal species‐specific? Five sources of data were analysed: multisite mark‐recapture experiments, genetic studies, experimental assessments, expert opinions, and transect surveys. We accounted for potential biases due to variation in genetic markers, sample sizes, spatial scales or the level of habitat fragmentation. We showed that the various dispersal estimates generally converged, and that the relative dispersal ability of species could reliably be predicted from their relative vagrancy (records of butterflies outside their normal habitat). Expert opinions gave much less reliable estimates of realized dispersal but instead reflected migration propensity of butterflies. Within‐species comparisons showed that genetic estimates were relatively invariable, while other dispersal estimates were highly variable. This latter point questions dispersal as a species‐specific, invariant trait.     

Accessing the SEED Genome Databases via Web Services API: Tools for Programmers

Background  

The SEED integrates many publicly available genome sequences into a single resource. The database contains accurate and up-to-date annotations based on the subsystems concept that leverages clustering between genomes and other clues to accurately and efficiently annotate microbial genomes. The backend is used as the foundation for many genome annotation tools, such as the Rapid Annotation using Subsystems Technology (RAST) server for whole genome annotation, the metagenomics RAST server for random community genome annotations, and the annotation clearinghouse for exchanging annotations from different resources. In addition to a web user interface, the SEED also provides Web services based API for programmatic access to the data in the SEED, allowing the development of third-party tools and mash-ups.