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880 results for “competency”
Computer code for a model describing the emergence of a long transient regular spatial pattern from interaction of competing aquatic macrophytes and a biocontrol agent
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Data from: The importance of functional responses among competing predators for avian nesting success
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Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox
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Data from: Species decline under nitrogen fertilization increases community-level competence of fungal diseases
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Data from: Chimpanzee females queue but males compete for social status
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Data from: Stable isotope tracers reveal a trade-off between reproduction and immunity in a reptile with competing needs
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Swimming and defense - competing needs across ontogeny in armored fishes (Agonidae)
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Individual fish infection data from metapopulation epidemics used to calculate resistance, tolerance and competence
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Density-dependent within-patch movement behavior of two competing species
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Data from: Reactivation of memory-associated neurons induces downstream suppression of competing neuronal populations
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Complex interactions of deer herbivory, soil chemistry, and competing vegetation explain oak-hickory forest tree regeneration in central Pennsylvania, USA
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Data from: Life-history traits of Tubastraea coccinea: reproduction, development, and larval competence
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Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2
<p>The compressed file contains ModelE simulation outputs for experiments used in "Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2". Included are simulations outputs specified in Table 1 of the paper:</p> <p>[CO<sub>2</sub>]_only: 2x[CO<sub>2</sub>]; natural vegetation with default LAI and conductance effects “off”</p> <p>[CO<sub>2</sub>]+Con: 2x[CO<sub>2</sub>]; natural vegetation with default LAI and conductance effects “on”</p> <p>[CO<sub>2</sub>]+LAI: 2x[CO<sub>2</sub>]; natural vegetation with enhanced LAI and conductance effects “off”</p> <p>[CO<sub>2</sub>]+LAI+Con: 2x[CO<sub>2</sub>]; natural vegetation with enhanced LAI and conductance effects “on”</p>
Results of Neuron Phenotype Ontology competency queries
<p>Full list of neurons with human readable labels returned from competency queries against the Neuron Phenotype Ontology as described in Gillespie et al. (2020). Three .CSV files are included with the number of competency query (Q1, Q2 and Q3) appended. The DL query used for the query is given in the column header of column A. The numbers provided for Q1 and Q2 in columns B-E represent the count of neurons returned for each of the 3 evidence based models (EBMs) described in the paper and the Common Usage Types (CUTs) The total number of neurons returned across all categories is shown in column F.</p>
The Alginate Immobilization of Metabolic Enzymes (AIME) platform retrofits an estrogen receptor transactivation assay with metabolic competence
The U.S. EPA Endocrine Disruptor Screening Program utilizes data across the ToxCast/Tox21 high-throughput screening (HTS) programs to evaluate the biological effects of potential endocrine active substances (EAS). A potential limitation to the use of in vitro assay data in regulatory decision-making is the lack of coverage for xenobiotic metabolic processes. Both hepatic- and peripheral-tissue metabolism can yield metabolites that exhibit greater activity than the parent compound (bioactivation) or are inactive (bioinactivation) for a given biological target. Interpretation of biological effect data for both putative EAS, as well as other chemicals, screened in HTS assays may benefit from the addition of xenobiotic metabolic capabilities to decrease the uncertainty in predicting potential hazards to human health. The objective of this study was to develop an approach to retrofit existing HTS assays with hepatic metabolism. The Alginate Immobilization of Metabolic Enzymes (AIME) platform encapsulates hepatic S9 fractions in alginate microspheres attached to 96-well peg lids. Functional characterization across a panel of reference substrates for phase I cytochrome P450 enzymes revealed substrate depletion with expected metabolite accumulation. Performance of the AIME method in the VM7Luc estrogen receptor (ER) transactivation assay was evaluated across 15 reference chemicals and 48 test chemicals that yield metabolites previously identified as ER active or inactive. The results demonstrate the utility of applying the AIME method for identification of false positive and false negative target assay effects, reprioritization of hazard based on metabolism-dependent bioactivity, and enhanced in vivo concordance with the rodent uterotrophic bioassay. Integration of the AIME metabolism method may prove useful for future biochemical and cell-based HTS applications.
Recurrent evolution of two competing haplotypes in an insect DNA virus
<p>Hosts and viruses are constantly evolving in response to each other: as hosts attempt to suppress the virus, the virus attempts to evade and suppress the host's immune system. This arms race results in the evolution of novel pathways in both the host and virus to gain the upper hand. Here we describe the coevolution between <i>Drosophila </i>species and a common and virulent DNA virus. We identify two distinct viral types that differ 100-fold in viral titer in infected individuals, with similar effects across multiple species. Our analysis suggests that one of the viral types appears to have recurrently evolved at least 4 times in the past ~30,000 years, including in another geographically distinct species, due to the high effective mutation rate which increases with titer. The higher titer viral type is associated with suppression of the host immune system and an increased transmission rate compared to the low viral titer type. Both types are maintained in all populations, likely due to an increased virulence in the high titer type creating a trade-off between effective transmission and virulence and resulting in nearly equal reproduction rates (R<sub>0</sub>) in both types. Together these results suggest that the reciprocal selective pressures caused by the co-evolution between host and virus has resulted in this recurrently evolving relationship.</p>
Data from: Trade-offs between morphology and thermal niches mediate adaptation in response to competing selective pressures
<p>The effects of climate change - such as increased temperature variability and novel predators – rarely happen in isolation, but it is unclear how organisms cope with multiple stressors simultaneously. To explore this, we grew replicate <i>Paramecium caudatum</i> populations in either constant or variable temperatures and exposed half to predation. We then fit thermal performance curves (TPCs) of intrinsic growth rate (<i>r<sub>max</sub></i>) for each replicate population (<i>N</i> = 12) across seven temperatures (10°C - 38°C). TPCs of <i>P. caudatum</i> exposed to both temperature variability and predation responded only to one or the other (but not both), resulting in unpredictable outcomes. These changes in TPCs were accompanied by changes in cell morphology. Although cell volume was conserved across treatments, cells became narrower in response to temperature variability and rounder in response to predation. Our findings suggest that predation and temperature variability produce conflicting pressures on both thermal performance and cell morphology. Lastly, we found a strong correlation between changes in cell morphology and TPC parameters in response to predation, suggesting that responses to opposing selective pressures could be constrained by trade-offs. Our results shed new light on how environmental and ecological pressures interact to elicit changes in characteristics at both the individual and population levels. We further suggest that morphological responses to interactive environmental forces may modulate population-level responses, making prediction of long-term responses to environmental change challenging.</p>
Data from: Observed fitness may affect niche overlap in competing species via selective social information use
Social information transmission is important because it enables horizontal spread of behaviors, not only between conspecifics, but also between individuals of different species. Because interspecific social information use is expected to take place among species with similar resource needs, it may have major consequences for the emergence of local adaptations, resource sharing and community organization. Social information use is expected to be selective, but the conditions promoting it in an interspecific context are not well known. Here, we experimentally test whether pied flycatchers (Ficedula hypoleuca) use the clutch size of great tits (Parus major) in determining the quality of the observed individual and use it as a basis in decision-making. We show that pied flycatchers (Ficedula hypoleuca) copied or rejected a novel nest-site feature preference of great tits (Parus major), experimentally manipulated to exhibit high or low fitness (clutch size), respectively. Our results demonstrate that the social transmission of behaviors across species can be highly selective in response to observed fitness, plausibly making the phenomenon adaptive. In contrast with the current theory of species coexistence, overlap between realized niches of species could dynamically increase or decrease depending on the observed success of surrounding individuals.
Data from: Competing for blood: the ecology of parasite resource competition in human malaria-helminth co-infections
Ecological theory suggests that co-infecting parasite species can interact within hosts directly, via host immunity and/or via resource competition. In mice, competition for red blood cells (RBCs) between malaria and bloodsucking helminths can regulate malaria population dynamics, but the importance of RBC competition in human hosts was unknown. We analyzed infection density (i.e. the concentration of parasites in infected hosts), from a 2-year deworming study of over 4,000 human subjects. After accounting for resource-use differences among parasites, we find evidence of resource competition, priority effects, and a competitive hierarchy within co-infected individuals. For example, reducing competition via deworming increased Plasmodium vivax densities 2.8-fold, and this effect is limited to bloodsucking hookworms. Our ecological, resource-based perspective sheds new light into decades of conflicting outcomes of malaria-helminth co-infection studies with significant health and transmission consequences. Beyond blood, investigating within-human resource competition may bring new insights for improving human health.
Data from: Population density, not host competence, drives patterns of disease in an invaded community
Generalist parasites can strongly influence interactions between native and invasive species. Host competence can be used to predict how an invasive species will affect community disease dynamics; the addition of a highly competent, invasive host is predicted to increase disease. However, densities of invasive and native species can also influence the impacts of invasive species on community disease dynamics. We examined whether information on host competence alone could be used to accurately predict the effects of an invasive host on disease in native hosts. We first characterized the relative competence of an invasive species and a native host species to a native parasite. Next, we manipulated species composition in mesocosms and found that host competence results did not accurately predict community dynamics. While the invasive host was more competent than the native, the presence of the native (lower competence) host increased disease in the invasive (higher competence) host. To identify potential mechanisms driving these patterns, we analyzed a two-host, one-parasite model parameterized for our system. Our results demonstrate that patterns of disease were primarily driven by relative population densities, mediated by asymmetry in intra- and interspecific competition. Thus, information on host competence alone may not accurately predict how an invasive species will influence disease in native species.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.