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28 results for “migration rate”
Data from: Estimation of migration rates from marker based parentage analysis
Coupled with rapid developments of efficient genetic markers, powerful population genetics methods were proposed to estimate migration rates (m) in natural populations in much broader spatial and temporal scales than the traditional mark-release-recapture (MRR) methods. Highly polymorphic (e.g. microsatellites) and genomic wide (e.g. SNPs) markers provide sufficient information to assign individuals to their populations or parents of origin, and thereby to estimate directly m in a way similar to MRR. Such direct estimates of current migration rates are particularly useful in understanding the ecology and microevolution of wild populations and in managing the populations in the future. In this study I proposed and implemented, in the software MigEst, a likelihood method to use marker based parentage assignments in jointly estimating m and candidate parent sampling proportions (x) in a subset of populations, investigated its power and accuracy using data simulated in various scenarios of population properties (e.g. the actual m, number, size and differentiation of populations) and sampling properties (e.g. the numbers of sampled parent candidates, offspring, and markers), compared it with the population assignment approach implemented in the software BayesAss, and demonstrated its usefulness by analysing a microsatellite dataset from three natural populations of Brazilian bats. Simulations showed that MigEst provides unbiased and accurate estimates of m, and performs better than BayesAss except when populations are highly differentiated with very small and ecologically insignificant migration rates. A valuable property of MigEst is that in the presence of unsampled populations, it gives good estimates of the rate of migration among sampled populations as well as of the rate of migration into each sampled population from the pooled unsampled populations.
Data from: Phase III of Wright's Shifting Balance Process and the variance among demes in migration rate
Interdemic selection by the differential migration of individuals out from demes of high fitness and into demes of low fitness (Phase III) is one of the most controversial aspects of Wright's Shifting Balance Theory. I derive a relationship between Phase III migration and the interdemic selection differential, S, and show its potential effect on FST. The relationship reveals a diversifying effect of interdemic selection by Phase III migration on the genetic structure of a metapopulation. Using experimental metapopulations, I explored the effect of Phase III migration on FST by comparing the genetic variance among demes for two different patterns of migration: (1) island model migration and (2) Wright's Phase III migration. Although mean migration rates were the same, I found that the variance among demes in migration rate was significantly higher with Phase III than with island model migration. As a result, FST for the frequency of a neutral marker locus was higher with Phase III than it was with island model migration. By increasing FST, Phase III enhanced the genetic differentiation among demes for traits not subject to interdemic selection. This feature makes Wright's process different from individual selection which, by reducing effective population size, decreases the genetic variance within demes for all other traits. I discussed this finding in relation to the efficacy of Phase III and random migration for effecting peak shifts, and the contribution of genes with indirect effects to among-deme variation.
Data from: Towards a self-updating platform for estimating rates of speciation and migration, ages, and relationships of taxa
Rapidly growing biological data –including molecular sequences and fossils– hold an unprecedented potential to reveal how evolutionary processes generate and maintain biodiversity. However, researchers often have to develop their own idiosyncratic workflows to integrate and analyse these data for reconstructing time-calibrated phylogenies. In addition, divergence times estimated under different methods and assumptions, and based on data of various quality and reliability, should not be combined without proper correction. Here we introduce a modular framework termed SUPERSMART (Self-Updating Platform for Estimating Rates of Speciation and Migration, Ages, and Relationships of Taxa), and provide a proof of concept for dealing with the moving targets of evolutionary and biogeographical research. This framework assembles comprehensive datasets of molecular and fossil data for any taxa and infers dated phylogenies using robust species tree methods, also allowing for the inclusion of genomic data produced through next-generation sequencing techniques. We exemplify the application of our method by presenting phylogenetic and dating analyses for the mammal order Primates and for the plant family Arecaceae (palms). We believe that this framework will provide a valuable tool for a wide range of hypothesis-driven research questions in systematics, biogeography, and evolution. SUPERSMART will also accelerate the inference of a "Dated Tree of Life" where all node ages are directly comparable.
Data from: Phase III of Wright's Shifting Balance Process and the variance among demes in migration rate
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Data from: Faster spring migration in northern wheatears is not explained by an endogenous seasonal difference in refueling rates
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Data from: Estimation of migration rates from marker based parentage analysis
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Data from: Towards a self-updating platform for estimating rates of speciation and migration, ages, and relationships of taxa
Open the record for dataset details and reuse information.
Rate of Postpyloric Migration of Spiral Nasojejunal Tubes in Brain Injured Patients
ClinicalTrials.gov study NCT00562146. IPD Sharing: Not stated. Countries: 1. 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
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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.