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85 results for “population-level”
Variant dataset and code for "Population-level whole genome sequencing of Ascochyta rabiei identifies genomic loci associated with isolate aggressiveness"
<p>This dataset contains genetic variants (SNPs) of <em>Ascochyta rabiei</em> isolates and the R code used in their analysis to generate the results and figures described in the manuscript "<strong>Population-level whole genome sequencing of <em>Ascochyta rabiei</em> identifies genomic loci associated with isolate aggressiveness</strong>".</p> <div> <div> </div> </div>
Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study
<p>Supplementary to "Population-level health and economic impacts of introducing Vaccae vaccination in China: A modeling study"</p>
Datasets, reproducible codes, and results for evaluating differential expression analysis methods on population-level RNA-seq data
<p>This upload contains the necessary R codes and data to reproduce the FDR and Power results described in our correspondence "Neglecting normalization impact in semi-synthetic RNA-seq data simulation generates artificial false positives" to Li Y, Ge X, Peng F, Li W, Li JJ, Exaggerated false positives by popular differential expression methods when analyzing human population samples, <em>Genome Biology</em> 23, 79, 2022, DOI: 10.1186/s13059-022-02648-4.</p>
Simulated Herbarium data for testing the accuracy with which specimen data can predict the timing and duration of population-level flowering displays
<p>This dataset provides code and example data for simulating specimen collections of flowering plants across North America, and for developing phenological predictions of population-level flowering onset and termination for these data. It further presents code for assessing the accuracy of these predictions relaticve to known (simulated) population-level flowering dates at the location of each collection.</p>
Data from: Environmental drivers of population-level variation in the migratory and diving ontogeny of an Arctic top predator
<p>The development of migratory strategies that enable juveniles to survive to recruitment is critical for species that exploit seasonal niches. For animals that forage via breath-hold diving this requires a combination of both physiological and foraging skill development. Here, we assess how migratory and dive behaviour develop over the first months of life for a migratory Arctic top predator, the harp seal, tracked using animal-borne satellite relay data loggers. We reveal similarities in migratory movements and differences in diving behaviour between juveniles from breeding populations in the Northwest Atlantic and Greenland Sea. In both regions, periods of resident and transient behaviour during migration were associated with proxies for food availability; sea ice concentration and water depth. However, while ontogenetic development of dive behaviour was similar for both groups of juveniles over the first 25 days, after this time Greenland Sea animals performed shorter and shallower dives and were more closely associated with sea ice than Northwest Atlantic animals. Together, these results highlight the role of both intrinsic and extrinsic factors in shaping early-life behaviour. Differences in the environmental conditions experienced during early-life may shape how populations respond to the rapid changes occurring in the Arctic ocean ecosystem.</p>
Fig. 2 in What drives population-level effects of parasites? Meta-analysis meets life-history
Fig. 2. Funnel plot of effect size (Hedges' g) by standard error (SE). The white circles represent studies included in the meta-analysis. The black circles represent missing imputed studies. The white diamond represents overall effect size as calculated in the meta-analysis, and the black diamond represents the corrected effect size.
Fig. 1 in What drives population-level effects of parasites? Meta-analysis meets life-history
Fig. 1. Forest plot of effect sizes (rectangles) and confidence intervals (bars) for each study and the effect averaged across all studies (diamond).
Fig. 3. A in What drives population-level effects of parasites? Meta-analysis meets life-history
Fig. 3. A meta-regression (random effects model) of effect size against host average lifespan using the complete dataset (n = 60). The slope of this regression is significant (p = 0.05).
Life on the edge: A new toolbox for population-level climate change vulnerability assessments
<p>Global change is impacting biodiversity across all habitats on earth. New selection pressures from changing climatic conditions and other anthropogenic activities are creating heterogeneous ecological and evolutionary responses across many species' geographic ranges. Yet we currently lack standardised and reproducible tools to effectively predict the resulting patterns in species vulnerability to declines or range changes.</p> <p>We developed an informatic toolbox that integrates ecological, environmental and genomic data and analyses (environmental dissimilarity, species distribution models, landscape connectivity, neutral and adaptive genetic diversity and Genotype-Environment Associations) to estimate population vulnerability. In our toolbox, functions and data structures are coded in a standardised way so that it is applicable to any species or geographic region where appropriate data are available, for example individual or population sampling and genomic datasets (e.g. RAD-seq, ddRAD-seq, whole genome sequencing data) representing environmental variation across the species geographic range.</p> <p>We apply our toolbox to a georeferenced genomic dataset for the East African spiny reed frog (<em>Afrixalus fornasini</em>) to predict population vulnerability, as well as demonstrating that range loss projections based on adaptive variation can be accurately reproduced using data for two European bat species (<em>Myotis escalerai</em>, and <em>M. crypticus</em>).</p> <p>Our framework sets the stage for large scale, multi-species genomic datasets to be leveraged in a novel climate change vulnerability framework to quantify intraspecific differences in genetic diversity, local adaptation, range shifts and population vulnerability based on exposure, sensitivity, and range shift potential.</p>
Data from: Personality determines population-level effects of microplastics consumption in a modelled population of stream-dwelling rainbow trout (Oncorhynchus mykiss)
<p>Microplastics in freshwater habitats are consumed by fish, including stream-dwelling salmonids, which can alter food consumption or negatively affect swimming and foraging behaviour. As population-level effects are largely unknown, a simulated population of stream-dwelling rainbow trout (<em>Oncorhynchus mykiss</em>) was created using the agent-based model 'inSTREAM 7' to model population-level effects (biomass) of behavioural changes caused by microplastics consumption. Individual fish were assigned all possible combinations of two personality traits (dominance, boldness/shyness), and consumed microplastics while foraging, while their abundance, body size, and microplastics consumption were tracked for three different life stages (fry, juvenile, adult) for a 10-year simulation period. Three additive scenarios were explored: a low-impact scenario with decreased food consumption, a medium-impact scenario with added lower swimming speed, and a high-impact scenario with added reductions in prey capture efficiency. Each was tested with microplastics concentrations of 0%, 1% (i.e., current levels), and 3% (i.e., future levels) of drift food. Overall, microplastics consumption did not strongly affect trout population abundance. Dominant adult trout consumed disproportionally more microplastics than all other fish, especially with higher microplastics concentrations. Different personality types were affected differently in the three scenarios: dominant and bold adults were smaller when food consumption was reduced, shy and subordinate adults were smaller when swimming speed was lowered, and all dominant adults, regardless of boldness, were smaller when foraging efficiency was impeded, with dominant and bold fry also less abundant in this scenario. However, effects on fish body size were only found with microplastic concentrations of 3%, indicating these outcomes can be prevented, as current levels of microplastics pollution are unlikely to affect salmonid body size. Nevertheless, microplastics ingestion represents an additional stressor that may potentially interact with a myriad of anthropogenic impacts that already affect wild salmonid populations.</p>
Data from: Environmental drivers of population-level variation in the migratory and diving ontogeny of an Arctic top predator
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Life on the edge: A new toolbox for population-level climate change vulnerability assessments
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Data for: Testing the population-level effects of stress-induced susceptibility in the ranavirus-wood frog system
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Simulated Herbarium data for testing the accuracy with which specimen data can predict the timing and duration of population-level flowering displays
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Minimal assay detects population-level senescence in the aquatic plant Lemna minor
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Data from: Personality determines population-level effects of microplastics consumption in a modelled population of stream-dwelling rainbow trout (Oncorhynchus mykiss)
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Data from: The demographic effects of functional traits: an integral projection model approach reveals population-level consequences of reproduction-defense tradeoffs
Quantitatively linking individual variation in functional traits to demography is a necessary step to advance our understanding of trait-based ecological processes. We constructed a population model for Asclepias syriaca to identify how functional traits affect vital rates and population growth and whether tradeoffs in chemical defense and demography alter population growth. Plants with higher foliar cardenolides had lower fiber, cellulose, and lignin levels, as well as decreased sexual and clonal reproduction. Average cardenolide concentrations had the strongest effect on population growth. In both the sexual and clonal pathway, the tradeoff between reproduction and defense affected population growth. We found that both increasing the mean of the distribution of individual plant values for cardenolides and herbivory decreased population growth. However, increasing the variance in both defense and herbivory increased population growth. Functional traits can impact population growth and quantifying individual-level variation in traits should be included in assessments of population-level processes.
Data from: Evidence of stress imprinting with population-level differences in two moss species
Plants are often repeatedly exposed to stresses during their lives and have a mechanism called stress imprinting that provides 'memories' of stresses they experience and increases their ability to cope with later stresses. To test hypotheses that primed bryophytes can preserve their stress imprinting after 6 days of recovery and induce higher levels of osmolytes and ROS-scavenging activities upon later stress exposure, and there exist population-level differentiation in their desiccation defenses, we transplanted samples of two populations of each of two moss species, Hypnum plumaeforme and Pogonatum cirratum, in a nature reserve in southern China. After 16 months of acclimation, sets of each population were subjected to control, one-time desiccation stress, duplicated desiccation stress and cross-stress (low temperature stress followed by desiccation stress) treatments. Levels of oxidant enzymes, osmolytes and phytohormones in the samples were then determined. The desiccation stress generally led to increases in activities or contents of superoxide dismutase, guaiacol peroxidase, catalase, proline, soluble sugars, soluble proteins, and stress hormones including abscisic acid (ABA), jasmonates (JA) and salicylic acid (SA), with differences between both species and populations. After a 6-day recovery period, contents of phytohormones (including ABA, JA, SA and cytokinins) in stressed H. plumaeforme had substantially fallen towards control levels. The duplicated and cross-stress treatments generally led to further accumulation of proline, soluble sugars and soluble proteins, with further increases in activities of antioxidant enzymes in some cases. Furthermore, significant differences between allochthonous and native populations were found in contents of malondialdehyde and osmolytes, as well as antioxidant enzyme activities. Our results confirm the hypotheses, and highlight the importance of osmolytes in mosses' stress responses.
Body mass, temperature, and pathogen intensity differentially affect critical thermal maxima and their population-level variation in a solitary bee
<p>Climate change presents a major threat to species distribution and persistence. Understanding what abiotic or biotic factors influence the thermal tolerances of natural populations is critical to assessing their vulnerability under rapidly changing thermal regimes. This study evaluates how body mass, local climate, and pathogen intensity influence heat tolerance and its population-level variation (SD) among individuals of the solitary bee <em>Xenoglossa pruinosa</em>. We assess the sex-specific relationships between these factors and heat tolerance given the differences in size between sexes and the ground-nesting behavior of the females. We collected <em>X. pruinosa</em> individuals from fourteen sites across Pennsylvania, USA that varied in mean temperature, precipitation, and soil texture. We measured the critical thermal maxima (CT<sub>max</sub>) of <em>X. pruinosa</em> individuals as our proxy for heat tolerance, and used quantitative PCR to determine relative intensities of three parasite groups—trypanosomes, <em>Spiroplasma apis</em> (mollicute bacteria), and <em>Vairimorpha apis</em> (microsporidian). While there was no difference in CT<sub>max</sub> between the sexes, we found that CT<sub>max</sub> increased significantly with body mass, and that this relationship was stronger for males than for females. Air temperature, precipitation, and soil texture did not predict mean CT<sub>max</sub> for either sex. However, population-level variation in CT<sub>max</sub> was strongly and negatively correlated with air temperature, which suggests that temperature is acting as an environmental filter. Of the parasites screened, only trypanosome intensity correlated with heat tolerance. Specifically, trypanosome intensity negatively correlated with the CT<sub>max</sub> of female <em>X. pruinosa</em> but not males. Our results highlight the importance of considering size, sex, and infection status when evaluating thermal tolerance traits. Importantly, this study reveals the need to evaluate trends in the variation of heat tolerance within and between populations, and consider implications of reduced variation in heat tolerance for the persistence of ectotherms in future climate conditions. </p>
Population-level variant frequencies in segmental duplication regions
<p>Variant frequencies in segmental duplication regions analyzed by <a href="https://github.com/PacificBiosciences/paraphase">Paraphase</a> in five ancestral populations.</p>
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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.