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60 results for “complex environments”
Data from: Escherichia coli populations adapt to complex, unpredictable fluctuations by minimizing trade-offs across environments
In nature, organisms are simultaneously exposed to multiple stresses (i.e. complex environments) that often fluctuate unpredictably. Although both these factors have been studied in isolation, the interaction of the two remains poorly explored. To address this issue, we selected laboratory populations of Escherichia coli under complex (i.e. stressful combinations of pH, H2O2 and NaCl) unpredictably fluctuating environments for ~900 generations. We compared the growth rates and the corresponding trade-off patterns of these populations to those that were selected under constant values of the component stresses (i.e. pH, H2O2 and NaCl) for the same duration. The fluctuation-selected populations had greater mean growth rate and lower variation for growth rate over all the selection environments experienced. However, whereas the populations selected under constant stresses experienced trade-offs in the environments other than those in which they were selected, the fluctuation-selected populations could bypass the across-environment trade-offs almost entirely. Interestingly, trade-offs were found between growth rates and carrying capacities. The results suggest that complexity and fluctuations can strongly affect the underlying trade-off structure in evolving populations.
Data from: Inferring the potentially complex genetic architectures of adaptation, sexual dimorphism, and genotype by environment interactions by partitioning of mean phenotypes.
Genetic architecture fundamentally affects the way that traits evolve. However, the mapping of genotype to phenotype includes complex interactions with the environment or even the sex of an organism that can modulate the expressed phenotype. Line cross analysis is a powerful quantitative genetics method to infer genetic architecture by analyzing the mean phenotype value of two diverged strains and a series of subsequent crosses and backcrosses. However, it has been difficult to account for complex interactions with the environment or sex within this framework. We have developed extensions to line cross analysis that allow for gene by environment and gene by sex interactions. Using extensive simulations studies and reanalysis of empirical data, we show that our approach can account for both unintended environmental variation when crosses cannot be reared in a common garden and can be used to test for the presence of gene by environment or gene by sex interactions. In analyses that fail to account for environmental variation between crosses we find that line cross analysis has low power and high false positive rates. However, we illustrate that accounting for environmental variation allows for the inference of adaptive divergence, and that accounting for sex differences in phenotypes allows practitioners to infer the genetic architecture of sexual dimorphism.
Data from: Using an insect mushroom body circuit to encode route memory in complex natural environments
Ants, like many other animals, use visual memory to follow extended routes through complex environments, but it is unknown how their small brains implement this capability. The mushroom body neuropils have been identified as a crucial memory circuit in the insect brain, but their function has mostly been explored for simple olfactory association tasks. We show that a spiking neural model of this circuit originally developed to describe fruitfly (Drosophila melanogaster) olfactory association, can also account for the ability of desert ants (Cataglyphis velox) to rapidly learn visual routes through complex natural environments. We further demonstrate that abstracting the key computational principles of this circuit, which include one-shot learning of sparse codes, enables the theoretical storage capacity of the ant mushroom body to be estimated at hundreds of independent images.
Gene-Environment Interactions in Complex Disease
ClinicalTrials.gov study NCT00064506. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Data from: Escherichia coli populations adapt to complex, unpredictable fluctuations by minimizing trade-offs across environments
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Data from: Mutations in global regulators lead to metabolic selection during adaptation to complex environments
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Data from: The purging of deleterious mutations in simple and complex mating environments
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Data from: The influence of complex and threatening environments in early life on brain size and behaviour
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Data from: A simple genetic basis of adaptation to a novel thermal environment results in complex metabolic rewiring in Drosophila
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Data from: Inferring the potentially complex genetic architectures of adaptation, sexual dimorphism, and genotype by environment interactions by partitioning of mean phenotypes.
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Data from: Disentangling associational effects: both resource density and resource frequency affect search behaviour in complex environments
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Data from: Using an insect mushroom body circuit to encode route memory in complex natural environments
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Data from: Specialization and accuracy of host-searching butterflies in complex and simple environments
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Modulation of immune response and tissue repair mechanisms in the gill filaments of Atlantic salmon (Salmo salar) affected by complex gill disease (CGD) in a marine open sea-cage environment
GEO Series GSE293344. Salmo salar. 9 samples. Type: Expression profiling by high throughput sequencing.
DATASET: Exploring the Complexity of Adolescent Aggression: The Interplay of Family Environment in Peru
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Complex Rehabilitation Technology Enabled Physical Activity for Children With Motor Delays Via Telehealth in Natural Environments
ClinicalTrials.gov study NCT07252713. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Effects of Moderate/Severe Traumatic Brain Injury in the Subacute or Chronic Phase on Locomotor Strategies Involved in Navigation in Complex Virtual Environments
ClinicalTrials.gov study NCT07230002. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Optimizing Bilateral and Single-sided-deafness Cochlear Implants for Functioning in Complex Auditory Environments
ClinicalTrials.gov study NCT06305039. IPD Sharing: YES. Countries: 1. Publications: 0.
Environment-dependent regulation of spliceosome activity by the LSM2-8 complex in Arabidopsis
GEO Series GSE87415. Arabidopsis thaliana. 8 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptomics of Escherichia coli growing in complex environments
GEO Series GSE44614. Escherichia coli; Escherichia coli O157:H7 str. EDL933; Escherichia coli CFT073; Escherichia coli str. K-12 substr. MG1655; Escherichia coli O157:H7 str. Sakai. 38 samples. Type: Expression profiling by array.
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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
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.