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5,794 results for “exposures”
Male mouse 60d water uranium exposure
Male mice were exposed to uranium in the drinking water for 60 days. Doses of uranium (in the form of uranyl acetate) were 0, 5, and 50 ppb. We examined 1) immune function of splenocytes (mitogenesis) 2) lymphocyte population subsets in the bone marrow, spleen and thymus (flow cytometry) 3) erythroid cell differentiation in the bone marrow (flow cytometry) 4) uranium concentrations in kidney, femur bone, liver, blood spleen thymus and bone marrow (ICP-MS).
Co-exposure of uranyl acetate and sodium arsenite differentially alters gene expression in CD3/CD28 activated CD4+ T-cells.
Communities in the western region of the United States experience environmental exposure to metal mixtures from living in proximity to numerous unremediated abandoned uranium mines. Metals including arsenic and uranium co-occur in and around these sites at levels higher than the United States Environmental Protection Agency maximum contaminant levels. To address the potential effect of these metals on the activation of CD4+ T-cells, we used RNA sequencing methods to determine the effect of exposure to uranyl acetate, sodium arsenite or a mixture of uranyl acetate and sodium arsenite. Oxidative stress is a mechanism proposed for metal toxicity, but findings for uranium differ across cell models. No significant changes in oxidative stress genes were detected for uranyl acetate, in contrast to sodium arsenite. Sodium arsenite induced a dose dependent effect on activation associated gene expression, targeting immune response genes at the lower dose. While uranyl acetate alone did not significantly alter activation associated gene expression, the mixture demonstrated a combined effect relative to sodium arsenite alone. The results demonstrate the need to investigate uranium alone and in metalloid mixtures at environmentally relevant concentrations to better understand the toxicological impact of these mixtures on T-cell activation, function and immune dysregulation.
Supplemental data Effects of imidacloprid exposure on honey bee colony growth and activity
To better understand how exposure to a low (5 ppb) concentration of imidacloprid affects honey bee colonies we conducted five field experiments involving a total of 54 bee colonies. In each experiment, bee colonies in one treatment group were fed sugar syrup adulterated with 5ppb imidacloprid over six weeks, and colonies in the other group were fed unadulturated sugar syrup over the same time period. Treatments were intended to simulate nectar collection by the colonies. No commercial agriculture existed within 10 km of the sites. We collected data from hive assessments, including adult bee mass and mass of food resources, and the total surface area of capped brood; and we collected data from sensors, including continuous hive weight, internal temperature and, for two years of the study, internal CO2 concentration. We measured Varroa mite fall before and after treatment each year of the study, and for 3 years of the study we measured the dry weight of newly-emerged adult bees.
The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
<p>This repository contains the data of the study "The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic".</p> <p><strong>Epidemiological data</strong></p> <p>The folder <em>zika_USA_weekly_cases_2016.zip </em>contains weekly ZIKV incidence counts reported by the US Centers for Disease Control and Prevention in 2016, by state. Data were extracted from reports made publicly available by the CDC at: <a href="https://zenodo.org/record/584136#.Xk07-RNKjOQ">https://zenodo.org/record/584136#.Xk07-RNKjOQ</a> </p> <p><strong>Web news data</strong></p> <p>The file <em>news_GDELT_data.csv.gz </em>contains all news items extracted from the GDELT platform (<a href="https://www.gdeltproject.org/">https://www.gdeltproject.org/</a>) matching <em>TAX_DISEASE_ZIKA </em>as a Theme, and <em>United_States</em> as a Location in the GDELT platform. </p> <p><strong>TV closed captions</strong></p> <p>The file <em>zika_TV_mentions_dataframe.csv </em>contains all the TV news items of 2016 matching the word ``Zika" in the TV News Archive https://archive.org/details/tv</p> <p><strong>Wikipedia pageview counts</strong></p> <p>Dataset 1: <em>wikipedia_dataset1_zika_daily_pageview_usa.csv</em></p> <p>Content of each line of the dataset: day, pageview_count</p> <p>The dataset contains the daily number of pageview counts of 128 different Wikipedia pages related to the Zika virus (aggregated and summed to total) originated in the United States, from January 1st to December 31st, 2016.</p> <p>Dataset 2: <em>wikipedia_dataset2_zika_daily_pageview_bystate.zip</em></p> <p>Content of each line of the dataset: day, pageview_count, state</p> <p>The dataset contains the daily number of pageview counts of 128 different Wikipedia pages related to the Zika virus (aggregated and summed to total) originated in the United States, disaggregated by state, from January 1st to December 31st, 2016.</p> <p>Dataset 3: <em>wikipedia_dataset3_zika_pagecount_by_city.csv</em></p> <p>Content of each line of the dataset: US_city, pageview_count_Zika,pageview_count_total</p> <p>The dataset contains the total number of pageview counts of 128 different Wikipedia pages related to the Zika virus (pageview_count_Zika) originated in 788 cities (US_city) of the United States with a population larger than 40,000 in 2016.The dataset also contains the total number of pageview counts to all Wikipedia pages (all Wikipedia projects, pageview_count_total) originated in 788 cities (US_city) of the United States with a population larger than 40,000 in 2016."</p>
Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling
<p>This is the data repository for the PLOS ONE Manuscript: "Meeting radiation dosimetry capacity requirements of population-scale exposures by geostatistical sampling". This repository contains the following data:</p> <p>1. "State-and-Subdivision-Boundary-Files.Edited-for-ArcMap-10.4.KML-Format.zip":</p> <p>This file contains modified U.S. state and sub-division boundary files [in KML format], which can be imported into ArcMap using its KMLtoLayer function. These files have been modified to prevent sub-division naming issues that we encountered when importing boundary data into ArcMap: A) State sub-divisions with identical names are considered a single sub-division by ArcMap (corrected by adding a letter after each sub-division of the same name, i.e. CenterA, CenterB, etc), and; B) ArcMap would only identify the sub-division by its first word if sub-division name contained spaces (corrected by converting all spaces into dashes). </p> <p>2. "HPAC-Plumes.Processed.zip" and "HPAC-Plumes.Unprocessed.zip":</p> <p>These files contain HPAC plume coordinate (WGS1984) and dose (in cGy) values for all scenarios discussed in the manuscript. We provide "processed" and "unprocessed" HPAC plume data files. The "unprocessed" HPAC plume data is provided in its original XML format, which cannot be imported into ArcMap directly. The "processed" HPAC plumes are provided in tab-delimited X,Y,Z format (Latitude, Longitude, and Dose). We have also added a "0 cGy" contour in the "processed" plumes (surrounding the HPAC plume), as the presence of unirradiated data points adjacent to the plume was found to be crucial for accurate kriging, since these points served as boundaries for kriging.</p> <p>3. "Final-Derived-Plumes.Data-Points.zip":</p> <p>This file contains geostatistically-derived plume coordinate (WGS1984) and dose (in cGy) values for all scenarios discussed in the manuscript. Data is in comma-delimited format (Latitude, Longitude, and Dose). Data points consist of a set of initial coordinates generated at random locations within each Census sub-division using the ArcMap tool, ‘CreateRandomPoints_management’, and subsequent points generated by densification (the geostatistical procedure that targets and localizes an additional small cohort of irradiated individuals to mitigate uncertainty in environmental measurements). These data points were assigned radiation level values corresponding to the adjacent outer HPAC contour by a script comparing each sample with its location within the HPAC plume of the same scenario.</p> <p>4. “Intermediate-Derived-Plumes.Data-Points.zip”</p> <p>This archive contains coordinate data (WGS1984) and dose values (in cGy) for all intermediary steps of plume development (using our geostatistical method) for all scenarios. Like (3), the data is comma-delimited (Latitude, Longitude, and Dose), and were assigned radiation level values by a script comparing sampling locations with the location of the HPAC plume of the same scenario. Scenario replicate folders contains text files for each iteration step of the plume derivation process, including a file containing just the initial random sampling (“Iteration-1”), a file containing initial sampling and sampling locations selected by the first densification step (“Iteration-2”), a file containing initial sampling and sampling locations selected by the first and second densification steps (“Iteration-3”), and so on.</p> <p>This archive also contains a Table (“Progression-of-New-Densification-Selected-Sampling-Locations-For-All-Scenarios.xslx”) which provides a categorical breakdown of how many unique densification-selected sampling locations occur within the irradiated region (i.e. overlap the HPAC plume) for each iteration of all scenario replicates. The fraction of irradiated to unirradiated sampling locations varies among each scenario and individual replicates for the same scenario. Our analysis shows that these results depend on the population densities and exact topography of the HPAC plume which is different among each scenario.</p> <p>5. "Geostatistical-Sampling-Project.All-Scripts.zip"</p> <p>This archive contains all programs required for this project. This includes Python scripts meant to be run within the ArcMap software environment (for random point generation and data extraction), and Perl scripts used to process HPAC and U.S. State and Sub-division boundary files, and to assign radiation values to sample locations based on a modified HPAC plume. A java program, “CompareReplicates.jar”, compares the overlapping areas between a pair of polygons that overlap one other using the ArcMap software environment, and requires access to the ArcGIS Runtime SDK (<a href="https://developers.arcgis.com/arcgis-runtime/">https://developers.arcgis.com/arcgis-runtime/</a>).</p>
Risk assessment of Ochratoxin A in food - Summary statistics on occurrence and consumption data and exposure assessment results - Final occurrence data
<p><strong>Annex: Summary statistics on occurrence and consumption data and exposure assessment results</strong></p> <p>Table 1 Number of analytical results excluded from the initial dataset during data cleaning, and justification for exclusion</p> <p>Table 2 Occurrence values of OTA (µg/kg) in food as reported in the cleaned database</p> <p>Table 3 Occurrence values of OTA (µg/kg) in food as used for the exposure assessment</p> <p>Table 4 Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment</p> <p>Table 5 Results of chronic dietary exposure assessment on OTA (ng/kg bw per day)</p> <p>Table 6 Main contributing food categories to the mean LB exposure assessments to OTA across European dietary surveys and population groups</p> <p>Table 7 Distribution of LOQ values among the different food categories</p> <p>Table 8 All contributing food categories to the mean LB and UB exposure to OTA across European dietary surveys and population groups</p> <p> </p> <p><strong>FormattedDATA_OchratoxinA.zip: Occurrence data on OTA</strong></p> <p>Contains the occurrence data of OTA on 73,891 food samples presented in the opinion as described in its section 4.7 Occurrence data.</p> <p>The link to the catalogues of controlled terminologies can be found under "Related identifiers”.</p>
Data from: Single cell RNA-seq analysis reveals that prenatal arsenic exposure results in long-term, adverse effects on immune gene expression in response to Influenza A infection
<p>Arsenic exposure via drinking water is a serious environmental health concern. Epidemiological studies suggest a strong association between prenatal<i> </i>arsenic exposure and subsequent childhood respiratory infections, as well as morbidity from respiratory diseases in adulthood, long after systemic clearance of arsenic.<i> </i>We investigated the impact of exclusive prenatal arsenic exposure on the inflammatory immune response and respiratory health after an adult influenza A (IAV) lung infection. C57BL/6J mice were exposed to 100 ppb sodium arsenite<i> in utero,</i> and subsequently infected with IAV (H1N1) after maturation to adulthood. Assessment of lung tissue and bronchoalveolar lavage fluid (BALF) at various time points post IAV infection reveals greater lung damage and inflammation in arsenic exposed mice versus control mice. Single-cell RNA sequencing analysis of immune cells harvested from IAV infected lungs suggests that the enhanced inflammatory response is mediated by dysregulation of innate immune function of monocyte derived macrophages, neutrophils, NK cells, and alveolar macrophages. Our results suggest that prenatal arsenic exposure results in lasting effects on the adult host innate immune response to IAV infection, long after exposure to arsenic, leading to greater immunopathology. This study provides the first direct evidence that exclusive prenatal exposure to arsenic in drinking water causes predisposition to a hyperinflammatory response to IAV infection in adult mice, which is associated with significant lung damage.</p>
Data from: Early-life exposure to artificial light at night elevates physiological stress in free-living songbirds
<p>Artificial light at night (ALAN) can disrupt adaptive patterns of physiology and behavior that promote high fitness, resulting in physiological stress and elevation of steroid glucocorticoids (corticosterone, CORT in birds). Elevated CORT may have particularly profound effects early in life, with the potential for enduring effects that persist into adulthood. Research on the consequences of early-life exposure to ALAN remains limited, especially outside of the laboratory, and whether light exposure affects CORT concentrations in wild nestling birds particularly remains to be elucidated. We used an experimental setup to test the hypothesis that ALAN elevates CORT concentrations in developing free-living birds, by exposing nestling great tits (Parus major) to ALAN inside nest boxes. We measured CORT in feathers grown over the timeframe of the experiment (7 nights), such that CORT concentrations represent an integrative metric of hormone release over the period of nocturnal light exposure, and of development. We also assessed the relationships between feather CORT concentrations, body condition, nestling size rank and fledging success. In addition, we evaluated the relationship between feather CORT concentrations and telomere length. Nestlings exposed to ALAN had higher feather CORT concentrations than control nestlings, and nestlings in poorer body condition and smaller brood members also had higher CORT. On the other hand, telomere length, fledging success, and recruitment rate were not significantly associated with light exposure or feather CORT concentrations. Results indicate that exposure to ALAN elevates CORT concentrations in nestlings, which may reflect physiological stress. In addition, the organizational effects of CORT are known to be substantial. Thus, despite the lack of an effect on telomere length and survivorship, elevated CORT concentrations in nestlings exposed to ALAN may have subsequent impacts on later-life fitness and stress sensitivity.</p>
Rhizopus_stolonifer_40x_mag_Volatile_exposure
<p>This set of images show 9-10 examples of various volatile-exposed hyphae of R. stolonifer, NRRL 66455. Included is a spreadsheet of vacuole count data.</p>
Data from: Acute cytotoxicity and increased vascular endothelial growth factor after in vitro nitrogen mustard vapor exposure
<p>RATIONALE: Nitrogen mustard (NM) is a highly toxic alkylating agent. It is classified as chemical threat due to its potential use as a warfare agent. When inhaled, mustard exposure can cause both acute and chronic lung injury. The aims of this study are to develop an in vitro culture system for modeling mustard-induced airway injury and to identify growth factors contributing to airway pathology.</p> <p><br> METHODS: Primary human bronchial epithelial cells co-cultured with primary human pulmonary endothelial cells were exposed to NM (25, 50, 100, 250 or 500 µM) or PBS (control) for 1 hour. Lactate dehydrogenase (LDH) and trans-epithelial electrical resistance (TEER) were measured prior to and 24 hours after NM exposure. Endothelial cultures were then stained for live/dead staining. Exposed airway media was also analyzed for growth factors using Luminex multiplex technology. </p> <p><br> RESULTS: A one-hour NM vapor exposure increased supernatant LDH and decreased TEER at 24 hours for all cultures exposed to NM concentrations greater than or equal to 50 µM. Evidence of endothelial cell death occurred at NM concentrations of 250 and 500 µM. Vascular endothelial growth factor (VEGF) signaling, specifically VEGF-A and placental growth factor (PlGF), increased in NM-exposed co-culture media compared to PBS controls. </p> <p><br> CONCLUSIONS: NM vapor exposure causes significant airway epithelial and endothelial injury. Increased VEGF signaling occurred in airway co-cultures exposed to higher NM concentrations with concurrent endothelial cell death. Future studies are required to validate the role of VEGF signaling in both acute and chronic mustard-induced airway pathology. </p>
Data from: Optimizing enrichment of deadwood for biodiversity by varying sun exposure and tree species: an experimental approach
<p>1. The enrichment of deadwood is essential for the conservation of saproxylic biodiversity in managed forests. However, existing strategies focus on a cost-intensive increase of deadwood amount, while largely neglecting increasing deadwood diversity.</p> <p>2. Deadwood objects, i.e. logs and branches, from six tree species were experimentally sun-exposed, canopy-shaded, and artificially shaded for four years, after which the alpha-, beta-, and gamma-diversity of saproxylic beetles, wood-inhabiting fungi, and spiders were analyzed. Analyses of beta-diversity included the spatial distance between exposed deadwood objects. A random-drawing procedure was used to identify the combination of tree species and sun exposure that yielded the highest gamma-diversity at a minimum of exposed deadwood amount.</p> <p>3. In sun-exposed plots, species numbers in logs were higher than in shaded plots for all taxa, while in branches we observed the opposite for saproxylic beetles. Tree species affected the species numbers only of saproxylic beetles and wood-inhabiting fungi. The beta-diversity of saproxylic beetles and wood-inhabiting-fungi among logs was influenced by sun exposure and tree species, but beta-diversity of spiders by sun exposure only. For all saproxylic taxa recorded in logs, differences between communities increased with increasing spatial distance.</p> <p>4. A combination of canopy-shaded <i>Carpinus</i> logs and sun-exposed <i>Populus</i> logs resulted in the highest species numbers of all investigated saproxylic taxa among all possible combinations of tree species and sun-exposure treatments.</p> <p>5. <i>Synthesis and applications</i>. We recommend incorporating the enrichment of different tree species and particularly the variation in sun exposure into existing strategies of deadwood enrichment. Based on the results of our study, we suggest to combine logs of softwood broadleaf tree species (e.g. <i>Carpinus, Populus</i>), hardwood broadleaf tree species (e.g. <i>Quercus</i>) and coniferous tree species (e.g. <i>Pinus</i>) under different conditions of sun exposure and distribute them spatially in a landscape to maximize the beneficial effects on overall diversity.</p>
Chernobyl-level radiation exposure damages bumblebee reproduction: a laboratory experiment
The consequences for wildlife of living in radiologically contaminated environments are uncertain. Previous laboratory studies suggest insects are relatively radiation-resistant; however, some field studies from the Chernobyl Exclusion Zone report severe adverse effects at substantially lower radiation dose rates than expected. Here we present the first laboratory investigation to study how environmentally-relevant radiation exposure affects bumblebee life-history, assessing the shape of the relationship between radiation exposure and fitness-loss. Dose rates comparable to the Chernobyl Exclusion Zone (50-400 µGy h-1) impaired bumblebee reproduction and delayed colony growth but did not affect colony weight or longevity. Our best-fitting model for the effect of radiation dose rate on colony queen production had a strongly non-linear concave relationship: exposure to only 100 µGy h-1 impaired reproduction by 30-45%, while further dose rate increases caused more modest additional reproductive impairment. Our data indicate that the practice of estimating effects of environmentally-relevant low dose rate exposure by extrapolating from high dose rates may have considerably underestimated the effects of radiation. If our data can be generalised, they suggest insects suffer significant negative consequences at dose rates previously thought safe; we therefore advocate relevant revisions to the international framework for radiological protection of the environment.
Landscape-level toxicant exposure mediates infection impacts on wildlife populations
Anthropogenic landscape modification such as urbanization can expose wildlife to toxicants, with profound behavioural and health effects. Toxicant exposure can alter local transmission of wildlife diseases by reducing survival or altering immune defence. However, predicting the impacts of pathogens on wildlife across their ranges is complicated by heterogeneity in toxicant exposure across the landscape, especially if toxicants alter wildlife movement from toxicant-contaminated to uncontaminated habitats. We developed a mechanistic model to explore how toxicant effects on host health and movement propensity influence range-wide pathogen transmission, and zoonotic exposure risk, as an increasing fraction of the landscape is toxicant-contaminated. When toxicant-contaminated habitat is scarce on the landscape, costs to movement and survival from toxicant exposure can trap infected animals in contaminated habitat and reduce landscape-level transmission. Increasing the proportion of contaminated habitat causes host population declines from combined effects of toxicants and infection. The onset of host declines precedes an increase in the density of infected hosts in contaminated habitat, and thus may serve as an early warning of increasing zoonotic spillover risk in urbanizing landscapes. These results highlight how sublethal effects of toxicants can determine pathogen impacts on wildlife populations that may not manifest until landscape contamination is widespread.
Prior exposure to long day photoperiods alters immune responses and increases susceptibility to parasitic infection in stickleback
<p>Seasonal disease and parasitic infection are common across organisms, including humans, and there is increasing evidence for intrinsic seasonal variation in immune systems. Changes are orchestrated through organisms' physiological clocks using cues such as day length. Ample research in diverse taxa has demonstrated multiple immune responses are modulated by photoperiod, but to date, there have been few experimental demonstrations that photoperiod cues alter susceptibility to infection. We investigated the interactions among photoperiod history, immunity, and susceptibility in laboratory-bred three-spined stickleback, a long-day breeding fish, and its external, directly-reproducing, monogenean parasite <i>Gyrodactylus gasterostei</i>. We demonstrate that previous exposure to long day photoperiods (PLD) increases susceptibility to infection relative to previous exposure to short days (PSD), and modifies the response to infection for the mucin gene <i>muc2</i> and Treg cytokine <i>foxp3a</i> in skin tissues in an intermediate 12L:12D photoperiod experimental trial. Expression of skin <i>muc2</i> is reduced in PLD fish, and negatively associated with parasite abundance. We also observe inflammatory gene expression variation associated with natural inter-population variation in resistance, but find that photoperiod modulation of susceptibility is consistent across host populations. Thus, photoperiod-modulation of the response to infection is important for host susceptibility, highlighting new mechanisms affecting seasonality of host-parasite interactions.</p>
Quantifying thermal exposure for migratory riverine species: phenology of Chinook salmon populations predicts thermal stress
<p>Migratory species are particularly vulnerable to climate change because habitat throughout their entire migration cycle must be suitable for the species to persist. For migratory species in rivers, predicting climate change impacts is especially difficult because there is a lack of spatially-continuous and seasonally-varying stream temperature data, habitat conditions can vary for an individual throughout its life cycle, and vulnerability can vary by life stage and season. To predict thermal impacts on migratory riverine populations, we first expanded a spatial stream network model to predict mean monthly temperature for 465,775 river km in the western U.S., and then applied simple yet plausible future stream-temperature change scenarios. We then joined stream temperature predictions to 44,396 spatial observations and life stage-specific phenology (timing) for 26 ecotypes (i.e. geographically distinct population groups expressing one of four distinct seasonal migration patterns) of Chinook salmon (<i>Oncorhynchus tshawytscha</i>), a phenotypically diverse anadromous salmonid that is ecologically and economically important but declining throughout its range. Thermal stress, assessed for each life stage and ecotype based on federal criteria, was influenced by migration timing rather than latitude, elevation, or migration distance, such that sympatric ecotypes often showed differential thermal exposure. Early-migration phenotypes were especially vulnerable due to prolonged residency in inland streams during the summer. We evaluated the thermal suitability of 31,699 stream km which are currently blocked by dams to explore reintroduction above dams as an option to mitigate the negative effects of our warmer stream temperature scenarios. Our results showed that negative impacts of stream temperature warming can be offset for almost all ecotypes if formerly occupied habitat above dams is made available. Our approach of combining spatial distribution and phenology data with spatially- and temporally-explicit temperature predictions enables researchers to examine thermal exposure of migrating populations that use seasonally-varying habitats.</p>
DNA methylation following long-term pulmonary multi-walled carbon nanotubes exposure in mice
<p>Whole Genome Bisulphite Sequencing (WGBS) experiment to assess DNA methylation patterns in mice lungs 56 days after exposure to Multi-Walled Carbon NanoTubes (MWCNTs). The doses of MWCNTs used in this experiment were 0, 40 or 80 μg/mouse. In this record, we provide WGBS coverage files along with bedgraph files.</p>
Code and data for: Exposure to climate change drives stability or collapse of desert mammal and bird communities
<p>The following code and data are used to generate the results for the publication "Exposure to climate change drives stability or collapse of desert mammal and bird communities". Climate_Data.zip contains the monthly minimum and maximum temperatures, vegetation data, and soil thickness data to generate microclimates. NicheMapR_code_and_files.zip contains the script and data necessary to generate the microhabitats. Endoscape.zip contains the data and script necessary to run the heat flux models. Resurvey_data.zip contains the jags data to run the occupancy models for small mammals and birds. The read_me file contains the descriptions of all data and script necessary to reproduce the data from the publication.</p>
Exposure to exogenous egg cortisol does not rescue juvenile Chinook salmon body size, condition, or survival from the effects of elevated water temperatures
<p class="NormalThesis">Climate change is leading to altered temperature regimes which are impacting aquatic life, particularly for ectothermic fish. The impacts of environmental stress can be translated across generations through maternally-derived glucocorticoids, leading to altered offspring phenotypes. Although these maternal stress effects are often considered negative, recent studies suggest this maternal stress signal may prepare offspring for a similarly stressful environment (environmental match). We applied the environmental match hypothesis to examine whether a prenatal stress signal can dampen the effects of elevated water temperatures on body size, condition, and survival during early development in Chinook salmon <i>Oncorhynchus tshawytscha</i> from Lake Ontario, Canada. We exposed fertilized eggs to prenatal exogenous egg cortisol (1000ng*mL<sup>-1</sup> cortisol or 0ng*mL<sup>-1</sup> control) and then reared these dosed groups at temperatures indicative of current (+0°C) and future (+3°C) temperature conditions. Offspring reared in elevated temperatures were smaller and had a lower survival at the hatchling developmental stage. Overall, we found that our exogenous cortisol dose did not dampen effects of elevated rearing temperatures (environmental match) on body size or early survival. Instead, our eyed stage survival indicates that our prenatal cortisol dose may be detrimental, as cortisol-dosed offspring raised in elevated temperatures had lower survival than cortisol-dosed and control reared in current temperatures. Our results suggest that a maternal stress signal may not be able to ameliorate the effects of thermal stress during early development. However, we highlight the importance of interpreting the fitness impacts of maternal stress within an environmentally relevant context.</p>
Data from: Large-scale recovery of an endangered amphibian despite ongoing exposure to multiple stressors
Amphibians are one of the most threatened animal groups, with 32% of species at risk for extinction. Given this imperiled status, is the disappearance of a large fraction of the Earth's amphibians inevitable, or are some declining species more resilient than is generally assumed? We address this question in a species that is emblematic of many declining amphibians, the endangered Sierra Nevada yellow-legged frog (Rana sierrae). Based on >7,000 frog surveys conducted across Yosemite National Park over a 20-y period, we show that, after decades of decline and despite ongoing exposure to multiple stressors, including introduced fish, the recently emerged disease chytridiomycosis, and pesticides, R. sierrae abundance increased sevenfold during the study and at a rate of 11% per year. These increases occurred in hundreds of populations throughout Yosemite, providing a rare example of amphibian recovery at an ecologically relevant spatial scale. Results from a laboratory experiment indicate that these increases may be in part because of reduced frog susceptibility to chytridiomycosis. The disappearance of nonnative fish from numerous water bodies after cessation of stocking also contributed to the recovery. The large-scale increases in R. sierrae abundance that we document suggest that, when habitats are relatively intact and stressors are reduced in their importance by active management or species' adaptive responses, declines of some amphibians may be partially reversible, at least at a regional scale. Other studies conducted over similarly large temporal and spatial scales are critically needed to provide insight and generality about the reversibility of amphibian declines at a global scale.
Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
<ol> <li>In light of global climate change, there is a pressing need to understand and predict the capacity of populations to respond to rising temperatures. Metabolic rate is a key trait that is likely to influence the ability to cope with climate change. Yet, empirical and theoretical work on metabolic rate responses to temperature changes has so far produced mixed results and conflicting predictions.</li> <li>Our study addresses this issue using a novel approach of comparing fish populations in geothermally warmed lakes and adjacent ambient-temperature lakes in Iceland. This unique 'natural experiment' provides repeated and independent examples of populations experiencing contrasting thermal environments for many generations over a small geographic scale, thereby avoiding the confounding factors associated with latitudinal or elevational comparisons. Using Icelandic sticklebacks from three warm and three cold habitats, we measured individual metabolic rates across a range of acclimation temperatures to obtain reaction norms for each population.</li> <li>We found a general pattern for a lower standard metabolic rate in sticklebacks from warm habitats when measured at a common temperature, as predicted by Krogh's rule. Metabolic rate differences between warm- and cold-habitat sticklebacks were more pronounced at more extreme acclimation temperatures, suggesting the release of cryptic genetic variation upon exposure to novel conditions, which can reveal hidden evolutionary potential. We also found a stronger divergence in metabolic rate between thermal habitats in allopatry than sympatry, indicating that gene flow may constrain physiological adaptation when dispersal between warm and cold habitats is possible.</li> <li>In sum, our study suggests that fish may diverge toward a lower standard metabolic rate in a warming world, but this might depend on connectivity and gene flow between different thermal habitats.</li> </ol>
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.