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203 results for “Divergence times”
Data from: Evolution at two time frames: polymorphisms from an ancient singular divergence event fuel contemporary parallel evolution
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Data from: Divergence history of the Carpathian and smooth newts modelled in space and time
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Data from: Local molecular clocks in three nuclear genes: divergence times for rodents and other mammals and incompatibility among fossil calibrations.
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Data from: Exact distribution of divergence times from fossil ages and tree topologies
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Fossilization processes have little impact on tip-calibrated divergence time analyses
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Data from: History cleans up messes: the impact of time in driving divergence and introgression in a tropical suture zone
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Data from: Bayesian divergence-time estimation with genome-wide SNP data of sea catfishes (Ariidae) supports Miocene closure of the Panamanian isthmus
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Data from: Priors and posteriors in Bayesian timing of divergence analyses: the age of butterflies revisited
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Data from: Divergent diapause life history timing drives both allochronic speciation and reticulate hybridization in an adaptive radiation of Rhagoletis flies
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The implications of lineage-specific rates for divergence time estimation
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Data from: Imprints from genetic drift and mutation imply relative divergence times across marine transition zones in a pan-European small pelagic fish (Sprattus sprattus)
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Data from: A jungle tale: molecular phylogeny and divergence time estimates of the Desmopsis - Stenanona clade (Annonaceae) in Mesoamerica
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Data from: The impact of Quaternary climate oscillations on divergence times and historical population sizes in Thylamys opossums from the Andes
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Data from: The past sure is tense: on interpreting phylogenetic divergence time estimates
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Data from: Maintenance of soil ecotypes of Solidago virgaurea in close parapatry via divergent flowering time and selection against immigrants
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Data from: Phylogeography, genetic structure and population divergence time of cheetahs in Africa and Asia: evidence for long-term geographic isolates
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Data from: Joint reconstruction of divergence times and life-history evolution in placental mammals using a phylogenetic covariance model
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Data from: Amyloid and cerebrovascular burden divergently influence brain functional network changes over time
Objective: To examine the effects of baseline Alzheimer's disease and cerebrovascular disease markers on longitudinal default mode network (DMN) and executive control network (ECN) functional connectivity (FC) changes in mild cognitive impairment (MCI) patients. Methods: We studied 30 amnestic (aMCI) and 55 subcortical vascular MCI (svMCI) patients with baseline Pittsburgh Compound B (PiB)–positron emission tomography (PET) scans and longitudinal magnetic resonance imaging (MRI) scans. Participants were followed up clinically with annual MR imaging for up to four years (aMCI: 26 with two time-points, 4 with three time-points; svMCI: 13 with two time-points, 16 with three time-points, 26 with four time-points). Results: Amyloid-β burden was associated with longitudinal DMN FC declines, while cerebrovascular burden was associated with longitudinal ECN FC changes. When patients were divided into PiB+ and PiB- groups, PiB+ patients showed longitudinal DMN FC declines, while svMCI patients showed longitudinal ECN FC increases. Direct comparisons between the two groups without mixed pathology (aMCI PiB+ and svMCI PiB-) recapitulated this divergent pattern: aMCI PiB+ patients showed steeper longitudinal DMN FC declines, while svMCI PiB- patients showed steeper longitudinal ECN FC increases. Finally, using baseline PiB uptake and lacune numbers as continuous variables, baseline PiB uptake showed inverse U-shape associations with longitudinal DMN FC changes in both MCI subtypes, while baseline lacune numbers showed both mainly inverse-U shape relationships with longitudinal ECN FC changes in svMCI patients. Conclusions: Our findings underscore the divergent effects of amyloid-β and cerebrovascular burden on longitudinal FC changes in the DMN and ECN in the pre-dementia stage, which reflect the underlying pathology and may be used to track early changes in Alzheimer's disease and cerebrovascular disease.
Divergence time estimation of genus Tribolium by extensive sampling of highly conserved orthologs
<p><i>Tribolium castaneum</i>, the red flour beetle, is among the most well-studied eukaryotic genetic model organisms. <i>Tribolium</i> often serves as a comparative bridge from highly derived <i>Drosophila</i> traits to other organisms. Simultaneously, as a member of the most diverse order of metazoans, Coleoptera, <i>Tribolium</i> informs us about innovations that accompany hyper diversity. However, understanding the tempo and mode of evolutionary innovation requires well-resolved, time-calibrated phylogenies, which are not available for <i>Tribolium</i>. The most recent effort to understand <i>Tribolium</i>phylogenetics used two mitochondrial and three nuclear markers. The study concluded that the genus may be paraphyletic and reported a broad range for divergence time estimates. Here we employ recent advances in Bayesian methods to estimate the relationships and divergence times among <i>Tribolium castaneum</i>, <i>T. brevicornis</i>, <i>T. confusum</i>, <i>T. freemani</i>, and <i>Gnatocerus cornutus </i>using 1368 orthologs conserved across all five species and an independent substitution rate estimate. We find that the most basal split within <i>Tribolium</i> occurred ~86 Mya [95% HPD 85.90–87.04 Mya] and that the most recent split was between <i>T. freemani</i> and <i>T. castaneum</i> at ~14 Mya [95% HPD 13.55-14.00]. Our results are consistent with broader phylogenetic analyses of insects and suggest that Cenozoic climate changes played a role in the <i>Tribolium </i>diversification.</p>
Data from: Robustness to divergence time underestimation when inferring species trees from estimated gene trees
To infer species trees from gene trees estimated from phylogenomic data sets, tractable methods are needed that can handle dozens to hundreds of loci. We examine several computationally efficient approaches—MP-EST, STAR, STEAC, STELLS, and STEM—for inferring species trees from gene trees estimated using maximum likelihood (ML) and Bayesian approaches. Among the methods examined, we found that topology-based methods often performed better using ML gene trees and methods employing coalescent times typically performed better using Bayesian gene trees, with MP-EST, STAR, STEAC, and STELLS outperforming STEM under most conditions. We examine why the STEM tree (also called GLASS or Maximum Tree) is less accurate on estimated gene trees by comparing estimated and true coalescence times, performing species tree inference using simulations, and analyzing a great ape data set keeping track of false positive and false negative rates for inferred clades. We find that although true coalescence times are more ancient than speciation times under the multispecies coalescent model, estimated coalescence times are often more recent than speciation times. This underestimation can lead to increased bias and lack of resolution with increased sampling (either alleles or loci) when gene trees are estimated with ML. The problem appears to be less severe using Bayesian gene-tree estimates.
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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.