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9 results for “Pulse evolution”
Data from: Whole-genome analysis of Mustela erminea finds that pulsed hybridization impacts evolution at high-latitudes
At high-latitude, climatic shifts hypothetically drove episodes of divergence during isolation in glacial refugia, or ice-free pockets of land that enabled terrestrial species persistence. Upon glacial recession, populations can expand and often come into contact, resulting in admixture between previously isolated groups. To understand how recurrent periods of isolation and contact have impacted evolution at high latitudes, we investigated introgression in the stoat (Mustela erminea), a Holarctic mammalian carnivore, using whole-genome sequences. We identify two temporally isolated introgression events coincident with large-scale climatic shifts: contemporary introgression in a mainland contact zone and ancient contact ~ 200 km south along North America's North Pacific Coast. Repeated episodes of gene flow highlight the central role of cyclic climates in structuring high-latitude diversity, through refugial divergence and subsequent introgressive hybridization. Introgression followed by allopatry (e.g., insularization) may contribute to expedited divergence of island taxa experiencing substantial glacial flux.
The Cauchy Process on phylogenies: a tractable model for pulsed evolution
<p>Phylogenetic comparative methods use random processes, such as the Brownian Motion, to model the evolution of continuous traits on phylogenetic trees. Growing evidence for non-gradual evolution motivated the development of complex models, often based on Lévy processes. However, their statistical inference is computationally intensive and currently relies on approximations, high dimensional sampling, or numerical integration. We consider here the Cauchy Process (CP), a particular pure-jump Lévy process in which the trait increment along each branch follows a centered Cauchy distribution with a dispersion proportional to its length. In this work, we derive an exact algorithm to compute both the joint probability density of the tip trait values of a phylogeny under a CP and the ancestral trait values and branch increments posterior densities in quadratic time. A simulation study shows that the CP generates patterns in comparative data that are distinct from any Gaussian process and that Restricted Maximum Likelihood (REML) parameter estimates and root trait reconstruction are unbiased and accurate for trees with 200 tips or less. The CP has only two parameters but is rich enough to capture complex pulsed evolution. It can reconstruct posterior ancestral trait distributions that are multimodal, reflecting the uncertainty associated with the inference of the evolutionary history of a trait from extant taxa only. Applied to empirical datasets taken from the Evolutionary Ecology and Virology literature, the CP suggests nuanced scenarios for the body size evolution of Greater Antilles Lizards and for the geographical spread of the West Nile Virus epidemics in North America, both consistent with previous studies using more complex models. The method is efficiently implemented in C with an R interface in package cauphy, which is open source and freely available online.</p>
Data from: Whole-genome analysis of Mustela erminea finds that pulsed hybridization impacts evolution at high-latitudes
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The Cauchy Process on phylogenies: a tractable model for pulsed evolution
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Data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution
<p>Here, we present data for: Slip-pulses drive frictional motion of dissimilar materials: universality, dynamics, and evolution.</p> <p>Spreadsheets correspond to figures in the paper (SI). Data is organized within a spreadsheet by subfigures, and the '.I' index stands for insets data.</p> <p> </p> <p>For further questions, you may contact me - yonatan.poles@mail.huji.ac.il.</p> <p> </p> <p> </p> <p> </p>
Modeling pulsed evolution and time-independent variation improves the confidence level of ancestral and hidden state predictions
<p><span><span><span><span><span><span><span><span><span><span>Ancestral state reconstruction is not only a fundamental tool for studying trait evolution, but also very useful for predicting the unknown trait values (hidden states) of extant species. A well-known problem in ancestral and hidden state predictions is that the uncertainty associated with predictions can be so large that predictions themselves are of little use. Therefore, for meaningful interpretation of predicted traits and hypothesis testing, it is prudent to accurately assess the uncertainty of the predictions. Commonly used constant-rate Brownian motion (BM) model fails to capture the complexity of tempo and mode of trait evolution in nature, making predictions under the BM model vulnerable to lack-of-fit errors from model misspecification. Using empirical data (mammalian body size and bacterial genome size), we show that the distribution of residual Z-scores under the BM model is neither homoscedastic nor normal as expected. Consequently, the 95% confidence intervals (CIs) of predicted traits are so unreliable that the actual coverage probability ranges from 33% (strongly permissive) to 100% (strongly conservative). Alternative methods such as BayesTraits and StableTraits that allow variable rates in evolution improve the predictions but are computationally expensive. Here we develop RasperGade, a method of ancestral and hidden state prediction that uses the Levy process to explicitly model gradual evolution, pulsed evolution and time-independent variation. Using the same empirical data, we show that RasperGade outperforms both BayesTraits and StableTraits and is orders-of-magnitude faster. Our results suggest that, when predicting the ancestral and hidden states of continuous traits, the tempo and mode of evolution should always be assessed and the quality of confidence estimates should always be examined.</span></span></span></span></span></span></span></span></span></span></p>
Modeling pulsed evolution and time-independent variation improves the confidence level of ancestral and hidden state predictions
Open the record for dataset details and reuse information.
Evolution of Pulsed Oxygen Saturation During Interval Training Compared to Continuous Training in COPD Patients
ClinicalTrials.gov study NCT05825638. IPD Sharing: YES. Countries: 1. Publications: 0.
Evolution of Pulse Pressure Following Initiation of Antihypertensive Therapy in Patients With Essential Arterial Hypertension
ClinicalTrials.gov study NCT02202525. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.
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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.