150 research outputs found

    The EF-hand Ca²⁺-binding protein super-family: A genome-wide analysis of gene expression patterns in the adult mouse brain

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    In mice, 249 putative members of the superfamily of EF-hand domain Ca²⁺-binding proteins, manifesting great diversity in structure, cellular localization and functions have been identified. Three members in particular, namely, calbindin-D28K, calretinin and parvalbumin, are widely used as markers for specific neuronal subpopulations in different regions of the brain. The aim of the present study was to compile a comprehensive atlas of the gene-expression profiles of the entire EF-hand gene superfamily in the murine brain. This was achieved by a meticulous examination of the in-situ hybridization images in the Allen Brain Atlas database. Topographically, our analysis focused on the olfactory bulb, cerebral cortex (barrel cortex in the primary somatosensory area), basal ganglia, hippocampus, amygdala, thalamus, hypothalamus, cerebellum, midbrain, pons and medulla, and on clearly identifiable sub-structures within each of these areas. The expression profiles of four family-members, namely hippocalcin-like 4, neurocalcin-δ, plastin 3 and tescalcin, that have not been hitherto reported, at either the mRNA (in-situ-hybridization) or the protein (immunohistochemical) levels, are now presented for the first time. The fruit of our analysis is a document in which the gene-expression profiles of all members of the EF-hand family genes are compared, and in which future possible neuronal markers for specific cells/brain areas are identified. The assembled information could afford functional clues to investigators, conducive to further experimental pursuit

    Fast flowing populations are not well mixed

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    In evolutionary dynamics, well-mixed populations are almost always associated with all-to-all interactions; mathematical models are based on complete graphs. In most cases, these models do not predict fixation probabilities in groups of individuals mixed by flows. We propose an analytical description in the fast-flow limit. This approach is valid for processes with global and local selection, and accurately predicts the suppression of selection as competition becomes more local. It provides a modelling tool for biological or social systems with individuals in motion.Comment: 19 pages, 8 figure

    How do species, population and active ingredient influence insecticide susceptibility in Culicoides biting midges (Diptera: Ceratopogonidae) of veterinary importance?

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    Background Culicoides biting midges are biological vectors of internationally important arboviruses of livestock and equines. Insecticides are often employed against Culicoides as a part of vector control measures, but systematic assessments of their efficacy have rarely been attempted. The objective of the present study is to determine baseline susceptibility of multiple Culicoides vector species and populations in Europe and Africa to the most commonly used insecticide active ingredients. Six active ingredients are tested: three that are based on synthetic pyrethroids (alpha-cypermethrin, deltamethrin and permethrin) and three on organophosphates (phoxim, diazinon and chlorpyrifos-methyl). Methods Susceptibility tests were conducted on 29,064 field-collected individuals of Culicoides obsoletus Meigen, Culicoides imicola Kieffer and a laboratory-reared Culicoides nubeculosus Meigen strain using a modified World Health Organization assay. Populations of Culicoides were tested from seven locations in four different countries (France, Spain, Senegal and South Africa) and at least four concentrations of laboratory grade active ingredients were assessed for each population. Results The study revealed that insecticide susceptibility varied at both a species and population level, but that broad conclusions could be drawn regarding the efficacy of active ingredients. Synthetic pyrethroid insecticides were found to inflict greater mortality than organophosphate active ingredients and the colony strain of C. nubeculosus was significantly more susceptible than field populations. Among the synthetic pyrethroids, deltamethrin was found to be the most toxic active ingredient for all species and populations. Conclusions The data presented represent the first parallel and systematic assessment of Culicoides insecticide susceptibility across several countries. As such, they are an important baseline reference to monitor the susceptibility status of Culicoides to current insecticides and also to assess the toxicity of new active ingredients with practical implications for vector control strategies. (Résumé d'auteur

    Storm impacts on phytoplankton community dynamics in lakes

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    In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short-term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing due to high flow rates. Although we have a well-developed understanding of how wind and precipitation events can alter lake physical processes and some aspects of biogeochemical cycling, our mechanistic understanding of the emergent responses of phytoplankton communities is poor. Here we provide a comprehensive synthesis that identifies how storms interact with lake and watershed attributes and their antecedent conditions to generate changes in lake physical and chemical environments. Such changes can restructure phytoplankton communities and their dynamics, as well as result in altered ecological function (e.g., carbon, nutrient and energy cycling) in the short- and long-term. We summarize the current understanding of storm-induced phytoplankton dynamics, identify knowledge gaps with a systematic review of the literature, and suggest future research directions across a gradient of lake types and environmental conditions.Peer reviewe
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