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9 results for “Fisher geometrical model”
Insights from Fisher's geometric model on the likelihood of speciation under different histories of environmental change
<p>All code and simulation data necessary to repeat the analysis described in "Insights from Fisher's geometric model on the likelihood of speciation under different histories of environmental change."</p>
Insights from Fisher's geometric model on the likelihood of speciation under different histories of environmental change
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Data from: Fisher's geometrical model of fitness landscape and variance in fitness within a changing environment
The fitness of an individual can be simply defined as the number of its offspring in the next generation. However, it is not well understood how selection on the phenotype determines fitness. In accordance with Fisher's fundamental theorem, fitness should have no or very little genetic variance, whereas empirical data suggest that is not the case. To bridge these knowledge gaps, we follow Fisher's geometrical model and assume that fitness is determined by multivariate stabilizing selection towards an optimum that may vary among generations. We assume random mating, free recombination, additive genes, and uncorrelated stabilizing selection and mutational effects on traits. In a constant environment, we find that genetic variance in fitness under mutation-selection balance is a U-shaped function of the number of traits (i.e. of the so-called "organismal complexity"). Because the variance can be high if the organism is of either low or high complexity, this suggests that complexity has little direct costs. Under a temporally varying optimum, genetic variance increases relative to a constant optimum and increasingly so when the mutation rate is small. Therefore mutation and changing environment together can maintain high genetic variance. These results therefore lend support to Fisher's geometric model of a fitness landscape.
Data from: Fisher’s geometrical model and the mutational patterns of antibiotic resistance across dose gradients
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Data from: Coadapted genomes and selection on hybrids: Fisher's geometric model explains a variety of empirical patterns
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Data from: Fisher's geometric model with a moving optimum
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Data from: Fisher's geometrical model of fitness landscape and variance in fitness within a changing environment
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Data from: The fitness effect of mutations across environments: Fisher’s geometrical model with multiple optima
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Data from: Fisher’s geometric model predicts the effects of random mutations when tested in the wild
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.