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2,009 results for “disruption”
Parasite infection disrupts escape behaviour in fish shoals
<p>Many prey species have evolved collective responses to avoid predation. They rapidly transfer information about potential predators to trigger and coordinate escape waves. Predation avoidance behaviour is often manipulated by trophically transmitted parasites, to facilitate their transmission to the next host. We hypothesised that the presence of infected, behaviourally altered individuals might disturb the spread of escape waves. We used the tapeworm Schistocephalus solidus, which increases risk-taking behaviour and decrease social responsiveness of its host, the three spined stickleback, to test this hypothesis. Three subgroups of sticklebacks were placed next to one another in separate compartments with shelter. The middle subgroup contained either uninfected or infected sticklebacks. We confronted an outer subgroup with an artificial bird strike, and studied how the escape response spread through the subgroups. With uninfected sticklebacks in the middle, escape waves spread rapidly through the entire shoal and fish remained in shelter thereafter. With infected sticklebacks in the middle, the escape wave was disrupted and uninfected fish did hardlyrarely used the shelter. Infected individuals can disrupt the transmission of flight responses, thereby not only increasing their own predation risk but also that of their uninfected shoal members. Our study uncovers a potentially far-reaching fitness consequence of grouping with infected individuals.</p>
data for [Magnetostratigraphic evidence for post-depositional disruption of osmium isotopic records in pelagic clay and its implications for mineral flux estimates]
<p>Data produced in <em>Magnetostratigraphic evidence for post-depositional disruption of osmium isotopic records in pelagic clay and its implications for mineral flux estimates</em></p>
Targeted Disruption of Mouse Dip2B Leads to Abnormal Lung Development and Prenatal Lethality
<p>Supplementary Figures</p> <p><strong>Figure S1</strong>. Picro-sirius red stained sections of lung at E18.5.</p> <p><strong>Figure S2</strong>. Cell apoptosis assay by TUNEL staining. A. Immunofluorescent TUNEL staining of E18.5 lungs. Scale bar: 66.2μm. B. Quantitative analysis by counting of multiple sections from 3 independent samples per group. NS= not significant by student’s t- test.</p> <p><strong>Table S1</strong>. Summary of RNA-Seq mapping results. The raw reads were mapped to the Mus Musculus genome (GRCm38) using TopHat2.</p> <p><strong>Table S2</strong>. List of DEG (Differentially Expressed Gene) from RNA-Seq analysis results. Differentail expression analysis was carried out using DESeq2.</p> <p><strong>Table S3</strong>. List of DEGs annotated under Gene Ontology (GO) terms cell cycle and immune system process.</p> <p><strong>Table S4</strong>. List of DEGs annotated under KEGG Pathway oxidative phosphorylation and hematopoietic cell lineage pathways. </p>
Data from: Background matching, disruptive coloration and differential use of microhabitats in two neotropical grasshoppers with sexual dichromatism
<div class="a3s aXjCH msg-1980557116638596178"> <div> <div class="m_-1980557116638596178WordSection1"> <p>Cryptic coloration is an adaptative defensive mechanism against predators. Color patterns can become cryptic through background coloration-matching and disruptive coloration. Disruptive coloration may evolve in visually heterogeneous microhabitats, whereas background matching could be favored in chromatically homogeneous microhabitats. In this work, we used digital photography to explore the potential use of disruptive coloration and background matching in males and females of two grasshopper species of the <i>Sphenarium </i>genus in different habitats. We found chromatic differences in the two grasshopper species that may be explained by local adaptation. We also found that the females and males of both species are dichromatic and seem to follow different color cryptic strategies, males are more disruptive than females, whereas females have a high background matching with less disruptive elements. The selective pressures of the predators in different microhabitats and the differences in mobility between sexes may explain the color pattern divergence between females and males. Nevertheless, more field experiments are needed in order to understand the relative importance of disruptive and background matching coloration in the evolution of sexual dichromatism in these grasshoppers.</p> </div> </div> </div>
The burden of post-translational modification (PTM) – disrupting mutations in the tumor matrisome
<p>A Pan-cancer analysis of the post-translational modification (PTM) – disrupting mutations in the tumor matrisome</p>
Data from: Chronic anthropogenic noise disrupts glucocorticoid signaling and has multiple effects on fitness in an avian community
Anthropogenic noise is a pervasive pollutant that decreases environmental quality by disrupting a suite of behaviors vital to perception and communication. However, even within populations of noise-sensitive species, individuals still select breeding sites located within areas exposed to high noise levels, with largely unknown physiological and fitness consequences. We use a study system in the natural gas fields of northern New Mexico to test the prediction that exposure to noise causes glucocorticoid-signaling dysfunction and decreases fitness in a community of secondary cavity nesting birds. In accordance with these predictions, and across all species, we find strong support for noise exposure decreasing baseline corticosterone in adults and nestlings and, conversely, increasing acute stressor-induced corticosterone in nestlings. We also document fitness consequences with increased noise in the form of reduced hatching success in the western bluebird (Sialia mexicana), the species most likely to nest in noisiest environments. Nestlings of all three species exhibited accelerated growth of both feathers and body size at intermediate noise amplitudes compared to low or higher amplitudes. Our results are consistent with recent experimental laboratory studies, and show that noise functions as a chronic, inescapable stressor. Anthropogenic noise likely impairs environmental risk perception by species relying on acoustic cues, and, ultimately, leads to impacts on fitness. Our work, when taken together with recent efforts to document noise across the landscape, implies potential widespread, noise-induced chronic stress coupled with reduced fitness for many species reliant on acoustic cues.
Data from: Disruption of plant-soil-microbial relationships influences plant growth
Differential dispersal of plant and microbial propagules may result in the geographical disassociation of plant populations from their local abiotic conditions and microbial communities, especially in the face of species introductions and changing climates. To assess the potential consequences of disrupting historical relationships between plant populations, microbial communities, and soil conditions, we grew Carpinus caroliniana seedlings from populations across the species range in combinations of sterilized soils and soil microbial communities, in soils collected from sites with or without conspecific trees. This controlled environment study simulated the consequences for seedling growth of independently or jointly disrupting the historical plant population-soil match, plant population-microbial community match, and microbial community-soil match. Seedlings grown in soils from areas without conspecifics had lower biomass, but benefited from inoculation with their historical microbial communities. For conspecific-cultured soils, growth was optimized when seedlings grew with novel microbial communities, but only when microbial communities were local with respect to abiotic soil conditions. Correlative evidence suggests that this may stem from alignment of ectomycorrhizal fungal communities to abiotic soil conditions. Synthesis: Maintaining historical plant-microbial community relationships may benefit plant species spreading into new areas; however, for movement within current ranges, maintaining the historical relationship between microbial communities and the abiotic aspects of soils may have more important consequences for early growth.
Data from: Changes in behavior are unable to disrupt a trophic cascade involving a specialist herbivore and its food plant
Changes in ecological conditions can induce changes in behavior and demography of wild organisms, which in turn may influence population dynamics. Black brant (Branta bernicla nigricans) nesting in colonies on the Yukon–Kuskokwim Delta (YKD) in western Alaska have declined substantially (~50%) since the turn of the century. Black brant are herbivores that rely heavily on Carex subspathacea (Hoppner's sedge) during growth and development. The availability of C. subspathacea affects gosling growth rates, which subsequently affect pre‐ and postfledging survival, as well as size and breeding probability as an adult. We predicted that long‐term declines in C. subspathacea have affected gosling growth rates, despite the potential of behavior to buffer changes in food availability during brood rearing. We used Bayesian hierarchical mixed‐effects models to examine long‐term (1987–2015) shifts in brant behavior during brood rearing, forage availability, and gosling growth rates at the Tutakoke River colony. We showed that locomotion behaviors have increased (β = 0.05, 95% CRI: 0.032–0.068) while resting behaviors have decreased (β = −0.024, 95% CRI: −0.041 to −0.007), potentially in response to long‐term shifts in forage availability and brood density. Concurrently, gosling growth rates have decreased substantially (β = −0.100, 95% CRI: −0.191 to −0.016) despite shifts in behavior, mirroring long‐term declines in the abundance of C. subspathacea (β = −0.191, 95% CRI: −0.355 to −0.032). These results have important implications for individual fitness and population viability, where shifts in gosling behavior putatively fail to mitigate long‐term declines in forage availability.
Data from: Livestock overgrazing disrupts the positive associations between soil biodiversity and nitrogen availability
Livestock overgrazing influences both microbial communities and nutrient cycling in terrestrial ecosystems. However, the role of overgrazing in regulating the relationship between soil biodiversity and nitrogen availability remains largely unexplored. We performed long-term grazing exclusion experiments across eight sites along precipitation gradient covering three major types of grassland in northern China to compare the linkage between soil microbial diversity and N availability in overgrazed versus non-grazed conditions. We found a positive association between fungal diversity and soil available N in non-grazed grasslands. However, the positive association was absent in overgrazed environments. Bacterial diversity is not related to soil available N in either non-grazed or overgrazed grasslands. Moreover, in bacterial community, we found a positive link between the relative abundance of Actinobacteria with soil available N in non-grazed, but not overgrazed, grasslands. Instead we found the links between relative abundance of Bacteroidetes and Acidobacteria with soil available N in overgrazed grasslands, but not non-grazed, grasslands. Our work provides evidence that the relationships between microbial diversity and ecosystem functions are context-dependent, and so microbial community diversity is likely not the major driver of soil N mineralization in overgrazed grasslands. Our study suggests that high intensity anthropogenic activities in grasslands restrains the capacity of diverse soil microbial communities to sustain ecosystem function, and more broadly the capacity of entire ecosystems to maintain important ecosystem processes such as plant production. Our study also indicates that the fundamental microbial communities associated with N availability change with differing land management strategies (e.g. livestock grazing).
Transient suppression of Dbx1 preBötzinger interneurons disrupts breathing in adult mice
<p>Data sets for <em>Transient suppression of Dbx1 preBötzinger interneurons disrupts breathing in adult mice.</em></p>
Disrupted development of sensory systems and the cerebellum in a zebrafish ebf3a mutant
<p>Behavior and imaging data for the ebf3a mutant zebrafish line. Also, Supplementary Data S1, which contains additional RNA-seq analyses and code.</p>
Code to reproduce Figures in "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting"
<p>This repository contains the code and data to reproduce the results of the paper:<em> "Adapting to Disruptions: Managing Supply Chain Resilience through Product Rerouting" </em>in<em> Science Advances</em>, https://doi.org/10.1126/sciadv.adj1194</p> <ul> <li>The `code/` directory contains the scripts used for the analysis and generating figures in the paper:</li> <li>The `data/` directory contains the data to create the plots</li> </ul> <p>The original data was obtained from <a href="https://www.slcg.com/opioid-data" target="_new">https://www.slcg.com/opioid-data</a>, which publicly distributes the Automation of Reports and Consolidated Orders System (ARCOS) dataset.</p>
Replication Data for the Paper "Is there a secular decline in disruptive patents? Correcting for measurement bias"
<p><strong>Working Paper Title: The Illusive Slump of Disruptive Patents</strong></p> <p>The repository contains replication data and scripts for the paper: </p> <p>Jeffrey T. Macher, Christian Rutzer, Rolf Weder,<br>Is there a secular decline in disruptive patents? Correcting for measurement bias,<br>Research Policy,<br>Volume 53, Issue 5,<br>2024,<br>104992,<br>ISSN 0048-7333,<br>https://doi.org/10.1016/j.respol.2024.104992</p> <p>The core component of the repository is the file `replication_file.R` which is an R script to replicate all figures and tables of the paper.</p> <p>The script relies on multiple data files. The datasets contain CD-values for granted USPTO utility patents for the years 1976-2016. All data is available in two formats, `.fst' (from the R package fst) and `.csv'.</p> <p> </p> <p><strong>Dataset Descriptions</strong></p> <p><strong>Main Datasets:</strong></p> <p>1. `dat_cd5_no_trunc`: This dataset contains the CD5 index of patents based on a method without truncation. </p> <p>2. `dat_cd5_trunc_1975`: This dataset contains the CD5 index of patents based on a truncation method as in Park et al. (Nature, 2023).</p> <p>3. `dat_cd5_no_trunc_app_adj`: This dataset contains the CD5 index of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p> </p> <p><strong>Additional Datasets:</strong></p> <p>4. `dat_cd5_trunc_1985`: This dataset contains the CD5 index of patents based on a truncation of all backward citations to patents published before 1985.</p> <p>5. `dat_cd5_trunc_1995`: This dataset contains the CD5 index of patents based on a truncation of all backward citations to patents published before 1995.</p> <p>6. `dat_cd5_no_trunc_app`: This dataset contains the CD5 index of patents based on a method without truncation and including citations to patent applications granted by 2021, as well as those not yet granted. </p> <p>7. `age_bwc_untrunc`: This dataset contains the age of backward citations using untruncated data.</p> <p>8. age_bwc_trunc: This dataset contains the age of backward citations using truncated data as in Park et al. (Nature, 2023).</p> <p>9. `age_bwc_untrunc_app_adj`: This dataset contains the age of backward citations using untruncated data and considering citations of patent applications granted until 2021.</p> <p>10. `dat_cd10_trunc_1975`: This dataset contains the CD10 index of patents based on a truncation method as in Park et al. (Nature, 2023). </p> <p>11. `dat_cd10_no_trunc_app_adj`: This dataset contains the CD10 index of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p>12. `dat_cd2021_trunc_1975`: This dataset contains the CD index as of 2021 of patents based on a truncation method as in Park et al. (Nature, 2023). </p> <p>13. `dat_cd2021_no_trunc_app_adj`: This dataset contains the CD index as of 2021 of patents based on a method without truncation and including citations to patent applications granted by 2021. </p> <p> </p> <p>To successfully run the `replication_file.R' script, make sure all data files are in the directory and the `mainDir1' variable at the beginning of the script is set to the correct path to where the data is stored. In addition, set the `mainDir2' variable to the folder where you want to store the figures created by the script. </p> <p>If you have any questions, please contact christian.rutzer@unibas.ch</p>
Fluid and kinetic studies of tokamak disruptions using Bayesian optimization
<p>The codes and the data in this directory corresponds to the code and results used in the paper [I. Ekmark et al (2024) J. Plasma Phys., Fluid and kinetic studies of tokamak disruptions using Bayesian optimization, http://arxiv.org/abs/2402.05843]. References to figures below refer to this publication. </p> <p>The optimizations have been performed using the Python package by Fernando Nogueira [https://github.com/bayesian-optimization/BayesianOptimization] and the simulations are performed using the disruptions simulation simulation tool DREAM [https://github.com/chalmersplasmatheory/DREAM, git hash: 0d786e859f6228185ef68b6b3639747e8d96172d], for more information on the latter code visit https://ft.nephy.chalmers.se/dream/.</p> <p>The codes:<br> - BayesianOptimization.py: Runs the optimization, first in fluid and then in isotropic mode. For activated simulations, use the flag "-A".<br> - BlackBox.py: Contains the functions that are run in the optimizations and sets up the simulations.<br> - utils.py: Contains the settings for the simulations as well as some other functions needed in BlackBox.py<br> - ITER.py: Contains all the ITER specific settings.<br> - Exceptions.py: Contains exceptions needed during the simulations. <br> - CostFunction.py: Contains the functions used for evaluating the cost function value for specified values of the representative runaway current, final Ohmic current, current quench time and transported heat fraction.<br> - RunCases.py: Sets up simulations for the cases of table 1 in the paper, as well as for all the optima found.</p> <p>The data:<br> - Optimization results:<br> <br> - Data/OptimizationResults/optresult_fluid.json: Contains the optimization data for the non-activated case using the fluid model. Used to produce figure 1.a. <br> - Data/OptimizationResults/optresult_isotropic.json: Contains the optimization data for the non-activated case using the isotropic model. Used to produce figure 1.b. <br> - Data/OptimizationResults/optresult_fluid_activated.json: Contains the optimization data for the activated case using the fluid model. Used to produce figure 5.a.<br> - Data/OptimizationResults/optresult_isotropic_activated.json: Contains the optimization data for the activated case using the isotropic model. Used to produce figure 5.b.<br> <br> - Data/OptimizationResults/components_fluid.json: Contains the cost function components for each sample from the optimization of the non-activated case using the fluid model. Used to produce figure 2.a. <br> - Data/OptimizationResults/components_isotropic.json: Contains the cost function components for each sample from the optimization of the non-activated case using the isotropic model. Used to produce figure 2.b. <br> - Data/OptimizationResults/components_fluid_activated.json: Contains the cost function components for each sample from the optimization of the activated case using the fluid model. Used to produce figure 6.a.<br> - Data/OptimizationResults/components_isotropic_activated.json: Contains the cost function components for each sample from the optimization of the activated case using the isotropic model. Used to produce figure 6.b.<br> <br> - Cases:<br> - Data/Cases/nonActivatedOpts/fluidOpt/: Contains outputfiles for fluid and isotropic simulations of the optimal case found for the non-activated scenario using the fluid model.<br> - Data/Cases/nonActivatedOpts/isoOpt/: Contains outputfiles for fluid and isotropic simulations of the optimal case found for the non-activated scenario using the isotropic model.<br> - Data/Cases/activatedOpts/fluidOpt/: Contains outputfiles for fluid and isotropic simulations of the optimal case found for the activated scenario using the fluid model.<br> - Data/Cases/activatedOpts/isoOpt/: Contains outputfiles for fluid and isotropic simulations of the optimal case found for the activated scenario using the isotropic model.<br> - Data/Cases/[circle, cross, square, triangle]: Contains outputfiles for fluid and isotropic simulations corresponding to the cases presented in table 1.</p>
Developmental pyrethroid exposure disrupts molecular pathways for MAP kinase and circadian rhythms in mouse brain
<p><span>Neurodevelopmental disorders (NDDs) are a category of pervasive disorders of the developing nervous system with few or no recognized biomarkers. A significant portion of the risk for NDDs, including attention deficit hyperactivity disorder (ADHD), is contributed by the environment, and exposure to pyrethroid pesticides during pregnancy has been identified as a potential risk factor for NDD in the unborn child. We recently showed that low-dose developmental exposure to the pyrethroid pesticide deltamethrin in mice causes male-biased changes to ADHD- and NDD-relevant behaviors as well as the striatal dopamine system. Here, we used an integrated multiomics approach to determine the broadest possible set of biological changes in the mouse brain caused by developmental pyrethroid exposure (DPE). Using a litter-based, split-sample design, we exposed mouse dams during pregnancy and lactation to deltamethrin (3 mg/kg or vehicle every 3 days) at a concentration well below the EPA-determined benchmark dose used for regulatory guidance. We raised male offspring to adulthood, euthanized them, and pulverized and divided whole brain samples for split-sample transcriptomics, kinomics and multiomics integration. Transcriptome analysis revealed alterations to multiple canonical clock genes, and kinome analysis revealed changes in the activity of multiple kinases involved in synaptic plasticity, including the mitogen-activated protein (MAP) kinase ERK. Multiomics integration revealed a dysregulated protein-protein interaction network containing primary clusters for MAP kinase cascades, regulation of apoptosis, and synaptic function. These results demonstrate that DPE causes a multi-modal biophenotype in the brain relevant to ADHD and identifies new potential mechanisms of action.</span></p>
Dataset of 'How Everyday Counterfeit Behavior that Disrupts Self Authenticity May Lead to Corruption Tendencies'
<p>Dataset and JASP Output of 'How Everyday Counterfeit Behavior that Disrupts Self Authenticity May Lead to Corruption Tendencies' (Abraham et al., 2021).</p> <p> </p>
No disruption of rhizobial symbiosis during early stages of cowpea domestication
<p>Modern agriculture intensely selects aboveground plant structures, while often neglecting belowground features, and evolutionary tradeoffs between these traits are predicted to disrupt host control over microbiota. Moreover, drift, inbreeding, and relaxed selection for symbiosis in crops might degrade plant mechanisms that support beneficial microbes. We studied the impact of domestication on the nitrogen fixing symbiosis between cowpea and root-nodulating <i>Bradyrhizobium.</i> We combined genome-wide analyses with a greenhouse inoculation study to investigate genomic diversity, heritability, and symbiosis trait variation among wild and early-domesticated cowpea genotypes<i>. </i>Cowpeas experienced modest decreases in genome-wide diversity during early domestication. Nonetheless, domesticated cowpeas responded efficiently to variation in symbiotic effectiveness, by forming more root nodules with nitrogen-fixing rhizobia and sanctioning non-fixing strains. Domesticated populations invested a larger proportion of host tissues into root nodules than wild cowpeas. Unlike soybean and wheat, cowpea showed no compelling evidence for degradation of symbiosis during domestication. Domesticated cowpeas experienced a less severe bottleneck than these crops and the low nutrient conditions in Africa where cowpea landraces were developed likely favored plant genotypes that gain substantial benefits from symbiosis. Breeders have largely neglected symbiosis traits, but artificial selection for improved plant responses to microbiota could increase plant performance and sustainability.</p>
Paninvasion severity assessment of a U.S. grape pest to disrupt the global wine market
<p class="MsoNormal">Economic impacts from plant pests are often felt at the regional scale, yet some impacts expand to the global scale through the alignment of a pest's invasion potentials. Such globally invasive species (i.e., paninvasives) are like the human pathogens that cause pandemics. Like pandemics, assessing paninvasion risk for an emerging regional pest is key for stakeholders to take early actions that avoid market disruption. <span>Here, we develop </span>the paninvasion severity assessment framework and use it to assess a rapidly spreading regional U.S. grape pest, the spotted lanternfly planthopper (<em>Lycorma delicatula; </em>SLF), to spread and disrupt the global wine market. We found that SLF invasion potentials are aligned globally because important viticultural regions with suitable environments for SLF establishment also heavily trade with invaded U.S. states. If the U.S. acts as an invasive bridgehead, Italy, France, Spain, and other important wine exporters are likely to experience the next SLF introductions. Risk to the global wine market is high unless stakeholders work to reduce SLF invasion potentials in the U.S. and globally.</p>
Quality of Life at Work During Home Office: How has the COVID Pandemic Caused Disruptive Changes in the Contem-porary Organizational Structures?
<p>Supplementary Material 1 with the calculation of research degree agreement from the managers</p> <p>Supplementary Data 2 – managers answers details</p>
Climate driven disruption of transitional alpine bumble bee communities
<p>Pollinators at high elevations face multiple threats from climate change including heat stress, failure to phenological match advancing flower resources and competitive pressure from range-expanding species of lower elevations. We conducted long-term multi-site surveys of alpine bumble bees to determine how phenology of range-stable and range-expanding species is responding to climate change. We ask whether bumble bee responses generate mismatches with floral resources, and whether these mismatches in turn promote community disruption and potential species replacement.</p> <p>In alpine environments of the central Rocky Mountains, range-stable and range-expanding bumble bees exhibit phenological mismatches with flowering host plants due to earlier flowering of preferred resources under warmer spring temperatures. However, workers of range-stable species are more canalised in their foraging schedules, exploiting a relatively narrow portion of the flowering season. Specifically, range-stable species show less variance in phenology in response to temporally and spatially changing conditions than range-expanding ones. Because flowering duration drives the seasonal abundance of floral resources at the landscape scale, we hypothesize that canalisation of phenology in alpine bumble bees could reduce their access to earlier or later season flowers.</p> <p>Warmer conditions are decreasing abundances of range-stable alpine bumble bees above the timberline, increasing abundance of range-expanding species, and facilitating a novel and more species-diverse bumble bee community. However, this trend is not explained by greater phenological mismatch of range-stable bees. Results suggest that conversion of historic habitats for cold-adapted alpine bumble bee species into refugia for more heat-tolerant congeners is disrupting bumble bee communities at high elevations, though the precise mechanisms accounting for these changes are not yet known. If warming continues, we predict that the transient increase in diversity due to colonization by historically low-elevation species will likely give way to declines of alpine bumble bees in the central Rocky Mountains.</p>
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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
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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.
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