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171 results for “environmental association”
Data from: Exposure to environmental radionuclides is associated with altered metabolic and immunity pathways in a wild rodent
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Transcript expression data. Environmental responsiveness of flowering time in cassava genotypes and associated transcriptome changes
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Data from: Are adaptive loci transferable across genomes of related species? Outlier and environmental association analyses in Alpine Brassicaceae species
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Data from: Habitat diversity associated with island size and environmental filtering control the species richness of rock-savanna plants in neotropical inselbergs
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Experimental evidence root-associated microbes mediate seagrass response to environmental stress
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Caulerpa-associated bacterial 16S rRNA in response to environmental stress
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Environmentally-associated color divergence does not coincide with population structure across Lesser Antillean anoles
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Associations between socio-environmental factors and landscape-scale biodiversity recovery in naturally regenerating tropical and subtropical forests
<p class="western"><span><span>Natural regeneration is key for large-scale forest restoration, yet it may lead to different biodiversity outcomes depending on socio-environmental context. We combined the results of a global meta-analysis to quantify how biodiversity recovery in naturally regenerating forests deviates from biodiversity values in reference old-growth forests, with structural equation modeling, to identify direct and indirect associations between socioeconomic, biophysical and ecological factors and deviation in biodiversity recovery at a landscape scale. Low deviation within a landscape means higher chances of multiple sites in naturally regenerating forests successfully recovering biodiversity compared to reference forests. Deviation in biodiversity recovery was directly negatively associated with the percentage of cropland, forest cover, and positively associated with the percentage of urban areas in the surrounding landscape. These three factors mediated the indirect associations with rural population size, recent gross deforestation, time since natural regeneration started, mean annual temperature, mean annual water deficit, road density, land opportunity cost, percentage cover of strictly protected forest areas, and human population variation in the surrounding landscape. We suggest that natural forest restoration should be prioritized in landscapes with both low socioeconomic pressures on land use conversion to pasturelands and urban areas, and high percentage of forest cover.</span></span></p>
Data from: Human plague system associated with rodent diversity and other environmental factors
Plague remains a threat to public health and is considered as a re-emerging infectious disease today. Rodents play an important role as major hosts in plague persistence and driving plague outbreaks in natural foci; however, few studies have tested the association between host diversity in ecosystems and human plague risk. Here we use Zero-Inflated Generalized Additive Models to examine the association of species richness with human plague presence (where plague outbreaks could occur) and intensity (the average number of annual human cases when they occurred) in China during the Third Pandemic. We also account for transportation network density, annual precipitation levels, and human population size. We found rodent species richness, particularly of rodent plague hosts, is positively associated with the presence of human plague. Further investigation shows that species richness of both wild and commensal rodent plague hosts are positively correlated with the presence, but only the latter correlated with the intensity. Our results indicated a positive relationship between rodent diversity and human plague, which may provide suggestions for the plague surveillance system.
Data from: The association between exposure to environmental bisphenol A and gonadotropic hormone levels among men
Bisphenol A (BPA) is an extensively used chemical with endocrine disrupting properties. Although animal and in vivo studies have suggested possible effects of BPA on levels of gonadotropic hormones, human studies are limited and inconclusive. The study examined whether environmental BPA exposure was associated with gonadotropic hormones levels in men. A total of 560 men aged 18–55 years were recruited from Sandu County, Guizhou Province, China. We collected urine samples for measurement of BPA, and blood samples for measurement of reproductive hormones. We examined serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and total testosterone (T). Relative risk (RR) was obtained by log-binominal regression to explore the association between urinary BPA level and hormone levels. BPA was detected in 70.4% of urine samples, with a geometric mean of 0.50 μg/gCr. Men with detectable levels of BPA had a 1.52-fold increased risk of having a high LH level (>75th percentile) when compared with men with undetectable levels of BPA, after adjustment for potential confounders (95% confidence interval (CI): 1.04–2.21). The association persisted and slightly intensified among current smokers (adjusted RR (aRR) = 1.76, 95%CI: 1.05–2.95), while it weakened among non-smokers (aRR = 1.17, 95%CI: 0.69–1.96). Urinary BPA level was associated with an increased FSH level among smokers (aRR = 1.64, 95%CI: 1.01–2.67). Urinary BPA level was inversely associated with total T level among males with body max index (BMI) ≥25 kg/m2 although this association was of borderline significance (aRR = 0.52, 95%CI: 0.26–1.05). In conclusion, environmental exposure to BPA was associated with increased serum levels of LH and FSH in male smokers, along with decreased serum levels of total T in men with BMI≥25 kg/m2. These findings suggest that the effects of environmental BPA exposure on hormone levels might be modified by smoking and BMI.
Raw data associated to the paper "Analysis of species pair associations combined with functional traits reveals the effects of environmental filtering and biotic interactions in an unmanaged temperate forest"
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Files associated with Rui Jin, Anand Gnanadesikan and Christopher Holder, Using Random Forests to Compare the Sensitivity of Observed Particulate Inorganic and Particulate Organic Carbon to Environmental Conditions
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Data from: Environmental associations with gene transcription in Babine Lake rainbow trout: evidence for local adaptation
The molecular genetic mechanisms facilitating local adaptation in salmonids continue to be poorly characterized. Gene transcription is a highly regulated step in the expression of a phenotype and it has been shown to respond to selection and thus may be one mechanism that facilitates the development of local adaptation. Advances in molecular genetic tools and an increased understanding of the functional roles of specific genes allow us to test hypotheses concerning the role of variable environments in shaping transcription at known-function candidate loci. To address these hypotheses, wild rainbow trout were collected in their first summer and subjected to metabolic and immune challenges. We assayed gene transcription at candidate loci that play a role in the molecular genetic response to these stresses, and correlated transcription with temperature data from the streams and the abundance and diversity of bacteria as characterized by massively parallel pyrosequencing. Patterns of transcriptional regulation from resting to induced levels varied among populations for both treatments. Co-inertia analysis demonstrated significant associations between resting levels of metabolic gene transcription and thermal regime (R2 = 0.19, P = 0.013) as well as in response to challenge (R2 = 0.39, P = 0.001) and resting state and challenged levels of cytokine gene transcription with relative abundances of bacteria (resting: R2 = 0.25, P = 0.009, challenged: R2 = 0.65, P = 0.001). These results show that variable environments, even within a small geographic range (<250 km), can drive divergent selection among populations for transcription of genes related to surviving stress.
Environmental drivers of plant distributions at global and regional scales: occurrence data with associated environmental variables of plant families/genera/species
<p>How environmental factors drive plant distribution across globe is one of the most fundamental questions in ecology. Plant distributions may be shaped by various environmental factors, such as climate, topography and edaphic factors. Nevertheless, it is not clear about the relative importance of different environmental factors in driving plant distribution across spatial scales and among plant groups. This study aimed to disentangle how plant–environment relationships vary with latitude and among plant taxa including angiosperms, gymnosperms, pteridophytes and bryophytes.</p> <p><b><span>Location</span></b>: Global</p> <p><b><span>Main taxa</span></b>: Plants</p> <p><b><span>Results</span></b>: Our analyses revealed the primacy of climatic variability (temperature seasonality and isothermality) on plant distribution at the global scale. The relative contribution of temperature seasonality and isothermality peaked in tropical areas, whereas solar radiation and annual mean temperature had stronger influence at high-latitude areas. We also found wide-range plant groups tend to occur at area with higher temperature variability (isothermality and temperature seasonality) and flatter terrain (low slope). Climate extremes (low temperature and low solar radiation) determined plant distribution range and limits across latitude. Soil and topography had diverse thought less important effects (related to climate) on broad-scale plant distribution patterns.</p> <p><b><span>Main Conclusions</span></b>: Our study highlights the significance of climate variability for global plant distributions and climate extremes at higher latitude areas. Environmental effects of plant distributions vary across latitude. The findings imply that our understandings on environmental factors affecting plant distributions rely on the geographical scales that we focus on, suggesting that different geographcial and local ecological processes should be integrated to explain multi-scale distribution patterns.</p>
Studying The Association Between Environmental Exposure to PFAS and Breast Cancer in Assiut Governorate- Egypt
ClinicalTrials.gov study NCT06457282. IPD Sharing: Not stated. Countries: 0. Publications: 4.
Data from: Environmental complexity influences association network structure and network-based diffusion of foraging information in fish shoals
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Data from: Environmental associations with gene transcription in Babine Lake rainbow trout: evidence for local adaptation
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Data from: Putatively adaptive genetic variation in the giant California sea cucumber (Parastichopus californicus) as revealed by environmental association analysis of restriction‐site associated DNA sequencing data
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Data from: Environmental sources of bacteria and genetic variation in behavior influence host-associated microbiota
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Data from: Human plague system associated with rodent diversity and other environmental factors
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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.