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43 results for “rate heterogeneity”
Data from: Ancestral state reconstruction, rate heterogeneity, and the evolution of reptile viviparity
Virtually all models for reconstructing ancestral states for discrete characters make the crucial assumption that the trait of interest evolves at a uniform rate across the entire tree. Although methods for identifying evolutionary rate shifts in continuous characters have attracted recent attention (e.g. Eastman et al., 2011, Stack et al., 2011), such methods for discrete characters have only very recently been developed (Beaulieu et al., 2013, Beaulieu and O'Meara 2014) and have yet to be widely used. However, ancestral state reconstructions of discrete characters are being performed on increasingly large phylogenies, where it is likely that evolutionary rates will vary greatly between different clades (Beaulieu and O'Meara 2014). Here, we show how failure to account for such variable evolutionary rates can cause highly anomalous (and likely incorrect) results, while three methods that accommodate rate variability yield the opposite, more plausible, and more robust reconstructions. The random local clock method, implemented in BEAST, estimates the position and magnitude of rate changes on the tree, split BiSSE estimates separate rate parameters for pre-specified clades, and the hidden rates model partitions each character state into a number of rate categories. The importance of accounting for rate heterogeneity in ancestral state reconstruction is highlighted empirically with a new analysis of the evolution of viviparity in squamate reptiles. Additionally, simulations show the inadequacy of traditional models when characters evolve with both asymmetry (different rates of change between states within a character) and heterotachy (different rates of character evolution across different clades).
Data from: Rates of morphological evolution are heterogeneous in Early Cretaceous birds
The Early Cretaceous is a critical interval in the early history of birds. Exceptional fossils indicate that important evolutionary novelties such as a pygostyle and a keeled sternum had already arisen in Early Cretaceous taxa, bridging much of the morphological gap between Archaeopteryx and crown birds. However, detailed features of basal bird evolution remain obscure because of both the small sample of fossil taxa previously considered and a lack of quantitative studies assessing rates of morphological evolution. Here we apply a recently available phylogenetic method and associated sensitivity tests to a large data matrix of morphological characters to quantify rates of morphological evolution in Early Cretaceous birds. Our results reveal that although rates were highly heterogeneous between different Early Cretaceous avian lineages, consistent patterns of significantly high or low rates were harder to pinpoint. Nevertheless, evidence for accelerated evolutionary rates is strongest at the point when Ornithuromorpha (the clade comprises all extant birds and descendants from their most recent common ancestors) split from Enantiornithes (a diverse clade that went extinct at the end-Cretaceous), consistent with the hypothesis that this key split opened up new niches and ultimately led to greater diversity for these two dominant clades of Mesozoic birds.
Data from: A new hierarchy of phylogenetic models consistent with heterogeneous substitution rates
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Data from: Heterogeneous rates of molecular evolution and diversification could explain the Triassic age estimate for angiosperms
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Data from: Cis- and trans-acting genetic factors contribute to heterogeneity in the rate of crossing over between the Drosophila simulans clade species
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Data from: Rates of morphological evolution are heterogeneous in Early Cretaceous birds
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Data from: Ancestral state reconstruction, rate heterogeneity, and the evolution of reptile viviparity
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Data from: Identifying heterogeneity in rates of morphological evolution: discrete character change in the evolution of lungfish (Sarcopterygii; Dipnoi)
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Data from: The impact of rate heterogeneity on inference of phylogenetic models of trait evolution
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Fast likelihood calculations for automatic identification of macroevolutionary rate heterogeneity in continuous and discrete traits
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Data for: Density dependence and spatial heterogeneity limit the population growth rate of invasive pines at the landscape scale
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Regulators of cellular heterogeneity in basal-like breast cancer influence symmetric versus asymmetric division rates (shRNA targeting)
GEO Series GSE84143. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Optimized culturing yields high success rates and preserves molecular heterogeneity, enabling personalized screening for high-grade gliomas [scRNA-seq]
GEO Series GSE248543. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Optimized culturing yields high success rates and preserves molecular heterogeneity, enabling personalized screening for high-grade gliomas
GEO Series GSE248544. Homo sapiens. 82 samples. Type: Expression profiling by high throughput sequencing; SNP genotyping by SNP array.
Regulators of cellular heterogeneity in basal-like breast cancer influence symmetric versus asymmetric division rates (Expression profiles)
GEO Series GSE84080. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Catalogs and stress history for "stress dependent b value variations in a heterogeneous rate-and-state fault model"
<p>Catalogs of synthetic seismicity and stress history used in the manuscrit "stress dependent b value variations in a heterogeneous rate-and-state fault model".</p>
Data from: Correlates of rate heterogeneity in avian ecomorphological traits
Heterogeneity in rates of trait evolution is widespread, but it remains unclear which processes drive fast and slow character divergence across global radiations. Here, we test multiple hypotheses for explaining rate variation in an ecomorphological trait (beak shape) across a globally distributed group (birds). We find low support that variation in evolutionary rates of species is correlated with life history, environmental mutagenic factors, range size, number of competitors, or living on islands. Indeed, after controlling for the negative effect of species' age, 80% of variation in species‐specific evolutionary rates remains unexplained. At the clade level, high evolutionary rates are associated with unusual phenotypes or high species richness. Taken together, these results imply that macroevolutionary rates of ecomorphological traits are governed by both ecological opportunity in distinct adaptive zones and niche differentiation among closely related species.
Microstructural heterogeneity in rate-dependent plasticity of multiphase titanium alloys
<p>This datasheet contains original data for figures 8 and 9 in the paper. If readers need further information, please feel free to contact: zhen.zhang@imperial.ac.uk</p>
Pulmonary Ventilation Heterogeneity Determined by EIT During PFT in Subjects With Normal One-second Rates
ClinicalTrials.gov study NCT06407986. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Correlates of rate heterogeneity in avian ecomorphological traits
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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.