Climatic extremes improve predictions of spatial patterns of tree species.

Understanding niche evolution, dynamics, and the response of species to climate change requires knowledge of the determinants of the environmental niche and species range limits. Mean values of climatic variables are often used in such analyses. In contrast, the increasing frequency of climate extremes suggests the importance of understanding their additional influence on range limits. Here, we assess how measures representing climate extremes (i.e., interannual variability in climate parameters) explain and predict spatial patterns of 11 tree species in Switzerland. We find clear, although comparably small, improvement (+20% in adjusted D(2), +8% and +3% in cross-validated True Skill Statistic and area under the receiver operating characteristics curve values) in models that use measures of extremes in addition to means. The primary effect of including information on climate extremes is a correction of local overprediction and underprediction. Our results demonstrate that measures of climate extremes are important for understanding the climatic limits of tree species and assessing species niche characteristics. The inclusion of climate variability likely will improve models of species range limits under future conditions, where changes in mean climate and increased variability are expected.

Maladies inflammatoires de l'intestin [Main therapeutic advances in IBD in 2007].

In 2008 three biological agents against TNFalpha will be available. The combination of infliximab with azathioprine is no longer recommended, as hepatosplenic lymphomas with a particularly bad prognosis have been associated with this combined therapy. Regular maintenance therapy with infliximab is as effective in preventing the development of anti-infliximab antibodies as co-administration of this anti-TNFalpha agent with an immunomodulator. The benefit of regular maintenance therapy is probably linked to the presence of residual trough levels of infliximab between perfusions.

Pathogen-induced hatching and population-specific life-history response to water-borne cues in brown trout (Salmo trutta)

Hatching is an important niche shift, and embryos in a wide range of taxa can either accelerate or delay this life-history switch in order to avoid stage-specific risks. Such behavior can occur in response to stress itself and to chemical cues that allow anticipation of stress. We studied the genetic organization of this phenotypic plasticity and tested whether there are differences among populations and across environments in order to learn more about the evolutionary potential of stress-induced hatching. As a study species, we chose the brown trout (Salmo trutta; Salmonidae). Gametes were collected from five natural populations (within one river network) and used for full-factorial in vitro fertilizations. The resulting embryos were either directly infected with Pseudomonas fluorescens or were exposed to waterborne cues from P. fluorescens-infected conspecifics. We found that direct inoculation with P. fluorescens increased embryonic mortality and induced hatching in all host populations. Exposure to waterborne cues revealed population-specific responses. We found significant additive genetic variation for hatching time, and genetic variation in trait plasticity. In conclusion, hatching is induced in response to infection and can be affected by waterborne cues of infection, but populations and families differ in their reaction to the latter.

Novel Agents Targeting the IGF-1R/PI3K Pathway Impair Cell Proliferation and Survival in Subsets of Medulloblastoma and Neuroblastoma.

The receptor tyrosine kinase (RTK)/phosphoinositide 3-kinase (PI3K) pathway is fundamental for cancer cell proliferation and is known to be frequently altered and activated in neoplasia, including embryonal tumors. Based on the high frequency of alterations, targeting components of the PI3K signaling pathway is considered to be a promising therapeutic approach for cancer treatment. Here, we have investigated the potential of targeting the axis of the insulin-like growth factor-1 receptor (IGF-1R) and PI3K signaling in two common cancers of childhood: neuroblastoma, the most common extracranial tumor in children and medulloblastoma, the most frequent malignant childhood brain tumor. By treating neuroblastoma and medulloblastoma cells with R1507, a specific humanized monoclonal antibody against the IGF-1R, we could observe cell line-specific responses and in some cases a strong decrease in cell proliferation. In contrast, targeting the PI3K p110α with the specific inhibitor PIK75 resulted in broad anti-proliferative effects in a panel of neuro- and medulloblastoma cell lines. Additionally, sensitization to commonly used chemotherapeutic agents occurred in neuroblastoma cells upon treatment with R1507 or PIK75. Furthermore, by studying the expression and phosphorylation state of IGF-1R/PI3K downstream signaling targets we found down-regulated signaling pathway activation. In addition, apoptosis occurred in embryonal tumor cells after treatment with PIK75 or R1507. Together, our studies demonstrate the potential of targeting the IGF-1R/PI3K signaling axis in embryonal tumors. Hopefully, this knowledge will contribute to the development of urgently required new targeted therapies for embryonal tumors.

Business Organization and Coordination in Marketing Specialty Hogs: A Comparative Analysis of Two Firms from Iowa, November 2005

We study business organization and coordination of specialty-market hog production using a comparative analysis of two Iowa pork niche-marketing firms. We describe and analyze each firms management of five key organizational challenges: planning and logistics, quality assurance, process verication and management of �credence attributes,� business structure, and profit sharing. Although each firm is engaged in essentially the same activity, there are substantial differences across the two firms in the way production and marketing are coordinated. These differences are partly explained by the relative size and age of each firm, thus highlighting the importance of organizational evolution in agricultural markets, but are also partly the result of a formal organizational separation between marketing and production activities in one of the firm.

Les anticorps monoclonaux radiomarqués en tant que missiles anti-tumeurs, leurs succès diagnostiques, leur potentiel thérapeutique

While it is now well accepted that radiolabeled antibodies can be useful for tumour detection by immunoscintigraphy, the use of larger doses of more aggressive radioisotopes coupled to antibodies for radioimmunotherapy is still in its infancy. At the experimental level, our group has shown that the intravenous injection of large doses of 131I labeled F(ab')2 fragments from monoclonal anti-carcinoembryonic antigen (CEA) antibodies can eradicate well established human colon carcinoma xenografts in nude mice. At the clinical level, in a dosimetry study performed at the Institut Gustave Roussy, the same anti-CEA monoclonal antibodies and fragments, labeled with subtherapeutic doses of 131I, were injected in patients with liver metastases from colorectal carcinomas. Direct measurement of radioactivity in surgically resected liver metastases and normal liver confirmed the specificity of tumour localization of the antibodies, but also showed that the calculated radiation doses which could be delivered by injections of 200 to 300 mCi of 131I labeled antibodies or fragments, remained fairly low, in the range of 1,500 to 3,000 rads. This is obviously insufficient for a single modality treatment. An alternative approach is to inject radiolabeled antibodies intra peritoneally to treat peritoneal carcinomatosis. Several clinical studies using this strategy are presently under evaluation and suggest that positive results can be obtained when the tumour diameters are very small. In systemic radioimmunotherapy, positive results have been obtained in more radiosensitive types of malignancies such as B cell lymphomas by intravenous injection of antibodies directed against B cell differentiation markers or against idiotypic antigens from each lymphoma, and labeled with 131I or 90Y. The major directions of research for improvement of radioimmunotherapy include the design of genetically engineered new forms of humanized antibodies, the synthesis of original chelates for coupling new radioisotopes to antibodies and the development of two step strategies for immunolocalization of radioisotopes.

Shifts in species and phylogenetic diversity between sapling and tree communities indicate negative density dependence in a lowland rain forest

1. As trees in a given cohort progress through ontogeny, many individuals die. This risk of mortality is unevenly distributed across species because of many processes such as habitat filtering, interspecific competition and negative density dependence. Here, we predict and test the patterns that such ecological processes should inscribe on both species and phylogenetic diversity as plants recruit from saplings to the canopy. 2. We compared species and phylogenetic diversity of sapling and tree communities at two sites in French Guiana. We surveyed 2084 adult trees in four 1-ha tree plots and 943 saplings in sixteen 16-m2 subplots nested within the tree plots. Species diversity was measured using Fisher's alpha (species richness) and Simpson's index (species evenness). Phylogenetic diversity was measured using Faith's phylogenetic diversity (phylogenetic richness) and Rao's quadratic entropy index (phylogenetic evenness). The phylogenetic diversity indices were inferred using four phylogenetic hypotheses: two based on rbcLa plastid DNA sequences obtained from the inventoried individuals with different branch lengths, a global phylogeny available from the Angiosperm Phylogeny Group, and a combination of both. 3. Taxonomic identification of the saplings was performed by combining morphological and DNA barcoding techniques using three plant DNA barcodes (psbA-trnH, rpoC1 and rbcLa). DNA barcoding enabled us to increase species assignment and to assign unidentified saplings to molecular operational taxonomic units. 4. Species richness was similar between saplings and trees, but in about half of our comparisons, species evenness was higher in trees than in saplings. This suggests that negative density dependence plays an important role during the sapling-to-tree transition. 5. Phylogenetic richness increased between saplings and trees in about half of the comparisons. Phylogenetic evenness increased significantly between saplings and trees in a few cases (4 out of 16) and only with the most resolved phylogeny. These results suggest that negative density dependence operates largely independently of the phylogenetic structure of communities. 6. Synthesis. By contrasting species richness and evenness across size classes, we suggest that negative density dependence drives shifts in composition during the sapling-to-tree transition. In addition, we found little evidence for a change in phylogenetic diversity across age classes, suggesting that the observed patterns are not phylogenetically constrained.

SESAM - a new framework integrating macroecological and species distribution models for predicting spatio-temporal patterns of species assemblages

Two different approaches currently prevail for predicting spatial patterns of species assemblages. The first approach (macroecological modelling, MEM) focuses directly on realised properties of species assemblages, whereas the second approach (stacked species distribution modelling, S-SDM) starts with constituent species to approximate assemblage properties. Here, we propose to unify the two approaches in a single 'spatially-explicit species assemblage modelling' (SESAM) framework. This framework uses relevant species source pool designations, macroecological factors, and ecological assembly rules to constrain predictions of the richness and composition of species assemblages obtained by stacking predictions of individual species distributions. We believe that such a framework could prove useful in many theoretical and applied disciplines of ecology and evolution, both for improving our basic understanding of species assembly across spatio-temporal scales and for anticipating expected consequences of local, regional or global environmental changes. In this paper, we propose such a framework and call for further developments and testing across a broad range of community types in a variety of environments.

Little Dairy on the Prairie: from butter makin' to high-tech agriculture, 2005

In 2001, extensive archaeological excavations were conducted at the Oneida Cheese Factory in Jones County. The county is a microcosm of larger dairying trends found throughout northeast Iowa, the state’s premier dairy-producing region. Jones County moved from homemade cheese and butter production by farm women, to the industrialization of the dairy farm and opening of cheese factories and butter creameries. A number of innovations affected the industry around the turn-of-the-twentieth century, including reliable butterfat testing, the introduction of ensilage (silos) that created yearround milk production, and consolidation of the many local creameries into larger creamery organizations, such as the Diamond Creamery run by Henry D. Sherman of Jones County. Iowa’s dairy industry of today looks very different from its heritage: consolidation and competition have drastically reduced the number of cows, dairy farms, and processing plants. In recent years, northeast Iowa has become the center of a movement to revitalize Iowa’s dairy industry, particularly through the use of value-added strategies, such as niche markets and large regional co-operatives: the lessons from Iowa’s dairying legacy are resurfacing as a solution to modern agricultural challenges.

Effects of phylogenetic signal on ancestral state reconstruction.

One of the standard tools used to understand the processes shaping trait evolution along the branches of a phylogenetic tree is the reconstruction of ancestral states (Pagel 1999). The purpose is to estimate the values of the trait of interest for every internal node of a phylogenetic tree based on the trait values of the extant species, a topology and, depending on the method used, branch lengths and a model of trait evolution (Ronquist 2004). This approach has been used in a variety of contexts such as biogeography (e.g., Nepokroeff et al. 2003, Blackburn 2008), ecological niche evolution (e.g., Smith and Beaulieu 2009, Evans et al. 2009) and metabolic pathway evolution (e.g., Gabaldón 2003, Christin et al. 2008). Investigations of the factors affecting the accuracy with which ancestral character states can be reconstructed have focused in particular on the choice of statistical framework (Ekman et al. 2008) and the selection of the best model of evolution (Cunningham et al. 1998, Mooers et al. 1999). However, other potential biases affecting these methods, such as the effect of tree shape (Mooers 2004), taxon sampling (Salisbury and Kim 2001) as well as reconstructing traits involved in species diversification (Goldberg and Igić 2008), have also received specific attention. Most of these studies conclude that ancestral character states reconstruction is still not perfect, and that further developments are necessary to improve its accuracy (e.g., Christin et al. 2010). Here, we examine how different estimations of branch lengths affect the accuracy of ancestral character state reconstruction. In particular, we tested the effect of using time-calibrated versus molecular branch lengths and provide guidelines to select the most appropriate branch lengths to reconstruct the ancestral state of a trait.

A tumor-specific cellular environment at the brain invasion border of adamantinomatous craniopharyngiomas.

Craniopharyngiomas (CP) are benign epithelial tumors of the sellar region and can be clinicopathologically distinguished into adamantinomatous (adaCP) and papillary (papCP) variants. Both subtypes are classified according to the World Health Organization grade I, but their irregular digitate brain infiltration makes any complete surgical resection difficult to obtain. Herein, we characterized the cellular interface between the tumor and the surrounding brain tissue in 48 CP (41 adaCP and seven papCP) compared to non-neuroepithelial tumors, i.e., 12 cavernous hemangiomas, 10 meningiomas, and 14 metastases using antibodies directed against glial fibrillary acid protein (GFAP), vimentin, nestin, microtubule-associated protein 2 (MAP2) splice variants, and tenascin-C. We identified a specific cell population characterized by the coexpression of nestin, MAP2, and GFAP within the invasion niche of the adamantinomatous subtype. This was especially prominent along the finger-like protrusions. A similar population of presumably astroglial precursors was not visible in other lesions under study, which characterize them as distinct histopathological feature of adaCP. Furthermore, the outer tumor cell layer of adaCP showed a distinct expression of MAP2, a novel finding helpful in the differential diagnosis of epithelial tumors in the sellar region. Our data support the hypothesis that adaCP, unlike other non-neuroepithelial tumors of the central nervous system, create a tumor-specific cellular environment at the tumor-brain junction. Whether this facilitates the characteristic infiltrative growth pattern or is the consequence of an activated Wnt signaling pathway, detectable in 90% of these tumors, will need further consideration.

Bioclimatic constraints to Andean cat distribution: a modelling application for rare species

AimTo identify the bioclimatic niche of the endangered Andean cat (Leopardus jacobita), one of the rarest and least known felids in the world, by developing a species distribution model.LocationSouth America, High Andes and Patagonian steppe. Peru, Bolivia, Chile, Argentina.MethodsWe used 108 Andean cat records to build the models, and 27 to test them, applying the Maxent algorithm to sets of uncorrelated bioclimatic variables from global databases, including elevation. We based our biogeographical interpretations on the examination of the predicted geographic range, the modelled response curves and latitudinal variations in climatic variables associated with the locality data.ResultsSimple bioclimatic models for Andean cats were highly predictive with only 3-4 explanatory variables. The climatic niche of the species was defined by extreme diurnal variations in temperature, cold minimum and moderate maximum temperatures, and aridity, characteristic not only of the Andean highlands but also of the Patagonian steppe. Argentina had the highest representation of suitable climates, and Chile the lowest. The most favourable conditions were centrally located and spanned across international boundaries. Discontinuities in suitable climatic conditions coincided with three biogeographical barriers associated with climatic or topographic transitions.Main conclusionsSimple bioclimatic models can produce useful predictions of suitable climatic conditions for rare species, including major biogeographical constraints. In our study case, these constraints are also known to affect the distribution of other Andean species and the genetic structure of Andean cat populations. We recommend surveys of areas with suitable climates and no Andean cat records, including the corridor connecting two core populations. The inclusion of landscape variables at finer scales, crucially the distribution of Andean cat prey, would contribute to refine our predictions for conservation applications.

Biotic and abiotic variables show little redundancy in explaining tree species distributions

Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.

Supplemental nursing staff´s experiences at a Spanish hospital: Qualitative phenomenology research

The objective of this study was to describe the Supplemental Nursing Staff´s experiences at different hospital units. A qualitative phenomenological approach was conducted; a purposeful and theoretical sampling was implemented with supplemental nursing staff at Santa Barbara Hospital of Soria (Spain), to gain a more in-depth understanding of the Supplemental Nursing Staff ´s experience. Data were collected by in-depth interviews and through a field notebook. Data were analyzed using the Giorgi proposal. Twenty-one nurses with a mean age of 46 years were included. Three main topics emerged from the data analysis: building the first contact, carving out a niche and establishing interprofessional/interpersonal relationships. We conclude that the experience of hosting the supplemental nursing staff in changing clinical environments is conditioned by various factors. It is necessary for nurses and hospital managers to establish clear objectives with regard to the supplemental nursing staff´s role in the units.

Primetime for antiangiogenic therapy.

PURPOSE OF REVIEW: To review the current experience with angiogenesis inhibitors in the treatment of gliomas. RECENT FINDINGS: Antiangiogenic therapy has recently reached the clinic with the approval of bevacizumab for recurrent glioblastomas. A number of promising antiangiogenic and vasculature-modifying agents are under investigation for newly diagnosed and recurrent malignant gliomas. A recurrence under ongoing or after antiangiogenic therapy is often characterized by a more aggressive and, in particular, invasive phenotype. SUMMARY: Despite impressively high radiological response rates in patients with recurrent malignant glioma, the duration of response is usually short-lived, and the observed effect to a large extent may be due to normalization of the disrupted blood-brain barrier and less due to a direct antitumor effect. Overall survival remains poor. Induction of invasive phenotypes and escape with proangiogenic alternative pathways are contributing to resistance. Investigation of combination regimes targeting several pathways will determine the possibilities to overcome the resistance to antiangiogenic therapy in malignant gliomas. This article summarizes the results of recent clinical trials in this field, points towards mechanisms of resistance arising under angiogenesis inhibition and discusses the challenges for the future.