Spatial pattern of floral morphology: a possible insight into the effects of pollinators on plant distribution

Pollination syndromes involve convergent evolution towards phenotypes composed of specific scents, colours or floral morphologies that attract or restrict pollinator access to reward. How these traits might influence the distributions of plant species in interaction with pollinators has rarely been investigated. We sampled 870 vegetation plots in the western Swiss Alps and classified the plant species into seven blossom types according to their floral morphology (wind, disk, funnel, tube, bilabiate, head or brush). We investigated the environmental features of plots with functional diversity (FD) lower than expected by chance alone to detect potential pollination filtering and related the proportions of the seven blossom types to a combination of environmental descriptors. From these results, we inferred the potential effect of the pollinator on the spatial distribution of plant species. The vegetation plots with significantly lower FD of blossom types than expected by chance were found at higher altitudes, and the proportions of blossom types were strongly patterned along the same gradient. These results support a biotic filtering effect on plant species assemblages through pollination: disk blossoms became dominant at higher altitudes, resulting in a lower FD. In harsh conditions at high altitudes, pollinators usually decrease in activity, and the openness of the disk blossom grants access to any available pollinator. Inversely, bilabiate blossoms, which are mostly pollinated by bees, were more abundant at lower elevations, which are characterised by greater abundance and diversity of bees. Generalisation through openness of the blossom could be advantageous at high elevations, while specialisation could be a successful alternative strategy at lower elevations. The approach used in this study is purely correlative, and further investigations should be conducted to infer the nature of the causal relationship between plant and pollinator distributions.

Testing Spatial Autocorrelation in Weighted Networks : the Modes Permutation Test

In a weighted spatial network, as specified by an exchange matrix, the variances of the spatial values are inversely proportional to the size of the regions. Spatial values are no more exchangeable under independence, thus weakening the rationale for ordinary permutation and bootstrap tests of spatial autocorrelation. We propose an alternative permutation test for spatial autocorrelation, based upon exchangeable spatial modes, constructed as linear orthogonal combinations of spatial values. The coefficients obtain as eigenvectors of the standardised exchange matrix appearing in spectral clustering, and generalise to the weighted case the concept of spatial filtering for connectivity matrices. Also, two proposals aimed at transforming an acessibility matrix into a exchange matrix with with a priori fixed margins are presented. Two examples (inter-regional migratory flows and binary adjacency networks) illustrate the formalism, rooted in the theory of spectral decomposition for reversible Markov chains.

Combined analysis of grey matter voxel-based morphometry and white matter tract-based spatial statistics in late-life bipolar disorder.

Background: Previous magnetic resonance imaging (MRI) studies in young patients with bipolar disorder indicated the presence of grey matter concentration changes as well as microstructural alterations in white matter in various neocortical areas and the corpus callosum. Whether these structural changes are also present in elderly patients with bipolar disorder with long-lasting clinical evolution remains unclear. Methods: We performed a prospective MRI study of consecutive elderly, euthymic patients with bipolar disorder and healthy, elderly controls. We conducted a voxel-based morphometry (VBM) analysis and a tract-based spatial statistics (TBSS) analysis to assess fractional anisotropy and longitudinal, radial and mean diffusivity derived by diffusion tensor imaging (DTI). Results: We included 19 patients with bipolar disorder and 47 controls in our study. Fractional anisotropy was the most sensitive DTI marker and decreased significantly in the ventral part of the corpus callosum in patients with bipolar disorder. Longitudinal, radial and mean diffusivity showed no significant between-group differences. Grey matter concentration was reduced in patients with bipolar disorder in the right anterior insula, head of the caudate nucleus, nucleus accumbens, ventral putamen and frontal orbital cortex. Conversely, there was no grey matter concentration or fractional anisotropy increase in any brain region in patients with bipolar disorder compared with controls. Limitations: The major limitation of our study is the small number of patients with bipolar disorder. Conclusion: Our data document the concomitant presence of grey matter concentration decreases in the anterior limbic areas and the reduced fibre tract coherence in the corpus callosum of elderly patients with long-lasting bipolar disorder.

Technology diffusion and the spatial distribution of wages in the US

What explains the spatial distribution of wages across US counties? I find that two of the most important factors are spatial technology diffusion and externalities due to the aggregate scale of production. One empirical finding supporting the importance of spatial technology diffusion is that average wages in a county decrease with the average level of schooling in neighboring counties when employment in the county and average wages in neighboring counties are held constant. All empirical results are obtained using anovel instrument for (endogenous) employment at the county-leveland take into account other factors (e.g. productivity-differencesacross states, climate) that may determine wages.

Improving generalized regression analysis for the spatial prediction of forest communities

Aim This study used data from temperate forest communities to assess: (1) five different stepwise selection methods with generalized additive models, (2) the effect of weighting absences to ensure a prevalence of 0.5, (3) the effect of limiting absences beyond the environmental envelope defined by presences, (4) four different methods for incorporating spatial autocorrelation, and (5) the effect of integrating an interaction factor defined by a regression tree on the residuals of an initial environmental model. Location State of Vaud, western Switzerland. Methods Generalized additive models (GAMs) were fitted using the grasp package (generalized regression analysis and spatial predictions, http://www.cscf.ch/grasp). Results Model selection based on cross-validation appeared to be the best compromise between model stability and performance (parsimony) among the five methods tested. Weighting absences returned models that perform better than models fitted with the original sample prevalence. This appeared to be mainly due to the impact of very low prevalence values on evaluation statistics. Removing zeroes beyond the range of presences on main environmental gradients changed the set of selected predictors, and potentially their response curve shape. Moreover, removing zeroes slightly improved model performance and stability when compared with the baseline model on the same data set. Incorporating a spatial trend predictor improved model performance and stability significantly. Even better models were obtained when including local spatial autocorrelation. A novel approach to include interactions proved to be an efficient way to account for interactions between all predictors at once. Main conclusions Models and spatial predictions of 18 forest communities were significantly improved by using either: (1) cross-validation as a model selection method, (2) weighted absences, (3) limited absences, (4) predictors accounting for spatial autocorrelation, or (5) a factor variable accounting for interactions between all predictors. The final choice of model strategy should depend on the nature of the available data and the specific study aims. Statistical evaluation is useful in searching for the best modelling practice. However, one should not neglect to consider the shapes and interpretability of response curves, as well as the resulting spatial predictions in the final assessment.

TCR signaling requirements for activating T cells and for generating memory.

Over the last two decades the molecular and cellular mechanisms underlying T cell activation, expansion, differentiation, and memory formation have been intensively investigated. These studies revealed that the generation of memory T cells is critically impacted by a number of factors, including the magnitude of the inflammatory response and cytokine production, the type of dendritic cell [DC] that presents the pathogen derived antigen, their maturation status, and the concomitant provision of costimulation. Nevertheless, the primary stimulus leading to T cell activation is generated through the T cell receptor [TCR] following its engagement with a peptide MHC ligand [pMHC]. The purpose of this review is to highlight classical and recent findings on how antigen recognition, the degree of TCR stimulation, and intracellular signal transduction pathways impact the formation of effector and memory T cells.

Measuring ecological niche overlap from occurrence and spatial environmental data

1. Aim - Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight the growing need for robust methods to quantify niche differences between or within taxa. We propose a statistical framework to describe and compare environmental niches from occurrence and spatial environmental data.¦2. Location - Europe, North America, South America¦3. Methods - The framework applies kernel smoothers to densities of species occurrence in gridded environmental space to calculate metrics of niche overlap and test hypotheses regarding niche conservatism. We use this framework and simulated species with predefined distributions and amounts of niche overlap to evaluate several ordination and species distribution modeling techniques for quantifying niche overlap. We illustrate the approach with data on two well-studied invasive species.¦4. Results - We show that niche overlap can be accurately detected with the framework when variables driving the distributions are known. The method is robust to known and previously undocumented biases related to the dependence of species occurrences on the frequency of environmental conditions that occur across geographic space. The use of a kernel smoother makes the process of moving from geographical space to multivariate environmental space independent of both sampling effort and arbitrary choice of resolution in environmental space. However, the use of ordination and species distribution model techniques for selecting, combining and weighting variables on which niche overlap is calculated provide contrasting results.¦5. Main conclusions - The framework meets the increasing need for robust methods to quantify niche differences. It is appropriate to study niche differences between species, subspecies or intraspecific lineages that differ in their geographical distributions. Alternatively, it can be used to measure the degree to which the environmental niche of a species or intraspecific lineage has changed over time.

Seasonal and spatial species richness variation of dung beetle (Coleoptera, Scarabaeidae s. str.) in the Atlantic Forest of southeastern Brazil

The knowledge on Atlantic Forest scarab beetle fauna is quite limited. This biome is strongly degraded and these insects can be used as bioindicators since they are sensitive to forest destruction and show distinct organizational patterns in forest fragments or in areas that have been deteriorated by human activity. Thus, a study of the Scarabaeidae (sensu stricto) dung beetles fauna that inhabit Serra do Japi, São Paulo, Brazil (23º12'-23º22' S and 46º53'-47º03'W) was carried out; the monthly species richness was analyzed in six areas during one year and the vegetation's structural physiognomy was described. The areas included a conserved and a degraded valley, a northward and a southward hillside, a hilltop, and an area of secondary forest growing under eucalyptus trees. The specimens were collected using four pitfall traps baited with human feces, which remained at each spot during 48 hours. Between September, 1997 and August, 1998, 3524 individuals of 39 species were collected; the most abundant were: Canthidium trinodosum, Eurysternus cyanescens, Uroxys kratochvili, Scybalocanthon nigriceps, Uroxys lata, Canthonella sp., Dichotomius assifer, Deltochilum furcatum, Canthidium sp.2, Canthon latipes, Deltochilum rubripenne, Eurysternus sp., and Dichotomius sp.1. The number of individuals and species was greater in the hot, rainy season, when there was a correlation between the number of species and the mean annual temperature [r²= 0.69; p<0.01]. The lower winter richness was most pronounced in the conserved valley, while richness remained relatively constant in the degraded valley; abundance was much higher in the degraded valley. The cluster analysis showed that the valleys and hillsides are the most similar in relation to species composition and abundance, yet different from the secondary forest with eucalypts and the hilltop.

Small-area estimation with spatial similarity

A class of composite estimators of small area quantities that exploit spatial (distancerelated)similarity is derived. It is based on a distribution-free model for the areas, but theestimators are aimed to have optimal design-based properties. Composition is applied alsoto estimate some of the global parameters on which the small area estimators depend.It is shown that the commonly adopted assumption of random effects is not necessaryfor exploiting the similarity of the districts (borrowing strength across the districts). Themethods are applied in the estimation of the mean household sizes and the proportions ofsingle-member households in the counties (comarcas) of Catalonia. The simplest version ofthe estimators is more efficient than the established alternatives, even though the extentof spatial similarity is quite modest.

Is the observed persistence spurious? A test for fractional integration versus short memory and structural breaks

Although it is commonly accepted that most macroeconomic variables are nonstationary, it is often difficult to identify the source of the non-stationarity. In particular, it is well-known that integrated and short memory models containing trending components that may display sudden changes in their parameters share some statistical properties that make their identification a hard task. The goal of this paper is to extend the classical testing framework for I(1) versus I(0)+ breaks by considering a a more general class of models under the null hypothesis: non-stationary fractionally integrated (FI) processes. A similar identification problem holds in this broader setting which is shown to be a relevant issue from both a statistical and an economic perspective. The proposed test is developed in the time domain and is very simple to compute. The asymptotic properties of the new technique are derived and it is shown by simulation that it is very well-behaved in finite samples. To illustrate the usefulness of the proposed technique, an application using inflation data is also provided.

Expression of apoptosis and survival genes in human memory T cell populations

RESUME Introduction: Les cellules T mémoires humaines sont classées en trois sous-populations sur la base de l'expression d'un marqueur de surface cellulaire, CD45RA, et du récepteur aux chimiokines, CCR7. Ces sous-populations, nommées cellules mémoires centrales (TcM), mémoires effectrices (TEM) et mémoires effectrices terminales (ITEM), ont des rôles fonctionnels distincts, ainsi que des capacités de prolifération et de régénération différentes. Cependant, la génération de ces différences reste encore mal comprise et on ignore les mécanismes moléculaires impliqués. Matériaux et Méthodes: Des cellules mononucléaires humaines du sang périphérique ont été séparées par cytométrie de flux selon leur expression de CD4, CD8, CD45RA et CCR7 en sous-populations de cellules CD4+ ou CD8+ naïves, TcM, TEM ou ITEM. Dans chacune de ces sous-populations, 14 gènes impliqués dans l'apoptose, la survie ou la capacité proliférative des cellules T ont été quantifiés par RT-PCR en temps réel, relativement à l'expression d'un gène de référence endogène. L'ARN provenant de 450 cellules T a été utilisé par gène et par sous-population. Les gènes analysés (cibles) comprenaient des gènes de survie (BAFF, APRIL, BAFF-R, BCMA, TACI, IL-15Rα, IL-7Rα), des gènes anti-apoptotiques (Bcl-2, BclxL, FLIP), des gènes pro-apoptotiques (Bad, Bax, Fast) et le gène anti-prolifératif, Tob. A l'aide de la méthode comparative delta-delta-CT, le taux d'expression des gènes cibles de chaque sous-population des cellules T mémoires CD4+ et CD8+, à été comparée à leur taux d'expression dans les cellules T naïves CD4+ et CD8+. Résultats: Dans les cellules CD8+, les gènes pro-apoptotiques Bax et Fast étaient surexprimés dans toutes les sous-populations mémoires, tandis que l'expression des facteurs anti-apoptotiques et de survie comme Bcl-2, APRIL et BAFF-R, étaient diminués. Ces deux tendances étaient particulièrement accentuées dans les sous-groupes des cellules mémoires TEM et TTEM. A noter que malgré le fait que leur expression était également diminuée dans les autres cellules mémoires, le facteur de survie IL-7Ra, était sélectivement surexprimé dans la sous-population de cellules TcM et l'expression d'IL-15Ra était sélectivement augmentée dans les TEM. Dans les cellules CD4+, le taux d'expression des gènes analysés était plus variable entre les sujets étudiés que dans les cellules CD8+, ne permettant pas de définir un profil d'expression spécifique. L'expression du gène de survie BAFF par contre, a été significativement augmentée dans toutes les sous-populations mémoire CD4+. Il en va de même pour l'expression d' APRIL et de BAFF-R, bien que dans moindre degré. A remarquer que l'expression du facteur anti-apoptotique Fast a été observée uniquement dans la souspopulation des TTEM. Discussion et Conclusions: Cette étude montre une nette différence entre les cellules CD8+ et CD4+, en ce qui concerne les profils d'expression des gènes impliqués dans la survie et l'apoptose des cellules T mémoires. Ceci pourrait impliquer une régulation cellulaire homéostatique distincte dans ces deux compartiments de cellules T mémoires. Dans les cellules CD8+ l'expression d'un nombre de gènes impliqués dans la survie et la protection de l'apoptose semblerait être diminuée dans les populations TEM et TTEM en comparaison à celle des sous-populations naïves et TEM, tandis que l'expression des gènes pro-apoptotiques semblerait être augmentée. Comme ceci paraît être plus accentué dans les TTEM, cela pourrait indiquer une plus grande disposition à l'apopotose dans les populations CCR7- (effectrices) et une perte de survie parallèlement à l'acquisition de capacités effectrices. Ceci parlerait en faveur d'un modèle de différentiation linéaire dans les cellules CD8+. De plus, l'augmentation sélective de l'expression d'IL-7Ra observée dans le sous-groupe de cellules mémoires TEM, et d'IL-15Ra dans celui des TEM, pourrait indiquer un moyen de sélection pour des réponses immunitaires mémoires à long terme par une réponse distincte à ces cytokines. Dans les cellules CD4+ par contre, aucun profil d'expression n'a pu être déterminé; les résultats suggèrent même une résistance relative à l'apoptose de la part des cellules mémoires. Ceci pourrait favoriser l'existence d'un modèle de différentiation plus flexible avec des possibilités d'interaction multiples. Ainsi, la surexpression sélective de BAFF, APRIL et BAFF-R dans les sous-populations individuelles des cellules mémoires pourrait être un indice de l'interaction de ces sous-groupes avec des cellules B. ABSTRACT Introduction: Based on their surface expression of the CD45 isoform and of the CCR7 chemokine receptor, memory T cells have been divided into the following three subsets: central memory (TAM), effector memory (TEM) and terminal effector memory (ITEM). Distinct functional roles and different proliferative and regenerative capacities have been attributed to each one of these subpopulations. The molecular mechanisms underlying these differences; however, remain poorly understood. Materials and Methods: According to their expression of CD4, CD8, CD45RA and CCR7, human peripheral blood mononuclear cells were sorted by flow-cytometry into CD4+ or CD8+ naïve, TAM, TEM and ITEM subsets. Using real-time PCR, the expression of 14 genes known to be involved in apoptotis, survival or proliferation of T cells was quantified separately in each individual subset, relative to an endogenous reference gene. The RNA equivalent of 450 T cells was used for each gene and subset. The target gene panel included the survival genes BAFF, APRIL, BAFF-R, BCMA, TACI, IL-15Rα and IL-7Rα, the anti-apoptotic genes Bcl2, Bcl-xL and FLIP, the pro-apoptotic genes Bad, Bax and Fast, as well as the antiproliferative gene Tob. Using the comparative CT-method, the expression of the target genes in the three memory T cell subsets of both CD4+ and CD8+ T cell populations was compared to their expression in the naïve T cells. Results: In CD8+ cells, the pro-apoptotic factors Bax and Fast were found to be upregulated in all memory T cell subsets, whereas the survival and anti-apoptotic factors Bcl-2, APRIL and BAFF-R were downregulated. These tendencies were most accentuated in TEM and TTEM subsets. Even though the survival factor IL-7Rα was also downregulated in these subsets, interestingly, it was selectively upregulated in the CD8+ TAM subset. Similarly, IL-15Rαexpression was shown to be selectively upregulated in the CD8+ TEM subset. In CD4+ cells, the expression levels of the analyzed genes showed a greater inter-individual variability than in CD8+ cells, thus suggesting the absence of any particular expression pattern for CD4+ memory T cells. However, the survival factor BAFF was found to be significantly upregulated in all CD4+ memory T cell subsets, as was also the expression of APRIL and BAFF-R, although to a lesser extent. Furthermore, it was noted that the pro-apoptotic gene Fast was only expressed in the TTEM CD4+ subset. Discussion and Conclusions: Genes involved in apoptosis and survival in human memory T cells have been shown to be expressed differently in CD8+ cells as compared to CD4+ cells, suggesting a distinct regulation of cell homeostasis in these two memory T cell compartments. The present study suggests that, in CD8+ T cells, the expression of various survival and antiapoptotic genes is downregulated in TEM and TTEM subsets, while the expression of proapoptotic genes is upregulated in comparison to the naïve and the TAM populations. These characteristics, potentially translating to a greater susceptibility to apoptosis in the CCR7- (effector) memory populations, are accentuated in the TTEM population, suggesting a loss of survival in parallel to the acquisition of effector capacities. This speaks in favour of a linear differentiation model in CD8+ T memory cells. Moreover, the observed selectively increased expression of IL-7Rα in CD8+ TAM cells - as that of IL-15Rα in CD8+ TEM cells -suggest that differential responsiveness to cytokines could confer a selection bias for distinct long-term memory cell responses. Relative to the results for CD8+ T cells, those for CD4+ T cells seem to indicate a certain resistance of the memory subsets to apoptosis, suggesting the possibility of a more flexible differentiation model with multiple checkpoints and potential interaction of CD4+ memory cells with other cells. Thus, the selective upregulation of BAFF, APRIL and BAFF-R in individual memory subsets could imply an interaction of these subsets with B cells.

Tracking individuals shows spatial fidelity is a key regulator of ant social organization.

Ants live in organized societies with a marked division of labor among workers, but little is known about how this division of labor is generated. We used a tracking system to continuously monitor individually tagged workers in six colonies of the ant Camponotus fellah over 41 days. Network analyses of more than 9 million interactions revealed three distinct groups that differ in behavioral repertoires. Each group represents a functional behavioral unit with workers moving from one group to the next as they age. The rate of interactions was much higher within groups than between groups. The precise information on spatial and temporal distribution of all individuals allowed us to calculate the expected rates of within- and between-group interactions. These values suggest that the network of interaction within colonies is primarily mediated by age-induced changes in the spatial location of workers.

Spatial distribution of a spherical gall (Hymenoptera, Eulophidae) on Caryocar brasiliense (Caryocaraceae)

We obtained the first data on spatial distribution of a spherical galling insect (Hymenoptera, Eulophidae) at the Caryocar brasiliense Camb. (Caryocaraceae) tree level. This work was developed in two pastures in Montes Claros, Minas Gerais State, Brazil. The areas studied were: pasture 1 (in activity) and pasture 2 (abandoned pasture = savanna in recovery). We evaluated the distribution of spherical galls in: foliage orientation (slope), among leaves (border and interior of the tree crown), among leaflets (right, central, left), distal, median, and proximal as well as border, central area, and adjacent to the mid leaf vein of the leaflet, and difference between areas in 10 infested trees per area. The smaller number of spherical gall/leaflet was observed in pasture 1 than in pasture 2. More spherical galls were found on the northern in pasture 1, but in the pasture 2, the lower spherical galls were observed on the northeast than other slopes. The average number of spherical galls did not differ statistically among the three leaflets of C. brasiliense in pasture 2. However, in pasture 1, we observed highest number of spherical galls in the central leaflet. More spherical galls were found in the border than interior of the tree crown. The average number of spherical galls did not differ statistically among the longitudinal region on leaflet of C. brasiliense. The spherical gall insect preferred to colonize the leaf margin than the central portion or near mid vein on transversal regions on a leaflet.