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• W2093464515 abstract "Phylogeographic methods facilitate inference of the geographical history of genetic lineages. Recent examples explore human migration and the origins of viral pandemics. There is longstanding disagreement over the use and validity of certain phylogeographic inference methodologies. In this paper, we highlight three distinct frameworks for phylogeographic inference to give a taste of this disagreement. Each of the three approaches presents a different viewpoint on phylogeography, most fundamentally on how we view the relationship between the inferred history of a sample and the history of the population the sample is embedded in. Satisfactory resolution of this relationship between history of the tree and history of the population remains a challenge for all but the most trivial models of phylogeographic processes. Intriguingly, we believe that some recent methods that entirely avoid inference about the history of the population will eventually help to reach a resolution. Phylogeographic methods facilitate inference of the geographical history of genetic lineages. Recent examples explore human migration and the origins of viral pandemics. There is longstanding disagreement over the use and validity of certain phylogeographic inference methodologies. In this paper, we highlight three distinct frameworks for phylogeographic inference to give a taste of this disagreement. Each of the three approaches presents a different viewpoint on phylogeography, most fundamentally on how we view the relationship between the inferred history of a sample and the history of the population the sample is embedded in. Satisfactory resolution of this relationship between history of the tree and history of the population remains a challenge for all but the most trivial models of phylogeographic processes. Intriguingly, we believe that some recent methods that entirely avoid inference about the history of the population will eventually help to reach a resolution. any information about the direct ancestors of a sample of molecular sequences. This term can refer, for example, to inferred sequence composition or phenotype, such as geography, and is often associated with a time scale. simulation technique used to draw statistical inference based on data summaries, often used when computation of the full data likelihood is impractical. ratio of the marginal likelihoods of a given data set comparing two competing models that naturally incorporates uncertainty about unknown parameters in both models. framework that estimates the posterior probability that a particular explanatory variable should be included in a model. The method is most commonly used in Bayesian inference of linear regression. open-source MCMC package for analysis of several Bayesian evolutionary models for molecular sequences and associated traits, such as geography. stochastic process on the real number line or, in the work described in this article, on a geographic surface in which increments are independent and normally distributed with mean zero and variance that scales linearly with duration. stochastic process on a discrete state space or, in the work described in this article, a set of locations that is memoryless and whose waiting times between transitions are exponentially distributed. framework for relating observed phenotype information to an evolutionary history. Nested clade phylogeographic analysis assumes that geography is a phenotypic trait and falls into this category. method in which a fully specified probabilistic model describes how observed data are generated. Unknown parameters can characterize this model, and statistical inference involves estimating and testing these parameters. resampling-based approach for inference of geographic information from haplotype trees and networks. interdisciplinary field involving study of the evolutionary history and geographic spread of biological populations or taxa. as used in this article, a framework that uses a sample of molecular sequences to make statements about a population under study. The coalescent is the most widely used population genetics framework. Extensions of the coalescent to phylogeography typically focus on migration rates between multiple populations fixed in space. application of independent stochastic processes to describe changes in geographic phenotypes on a two-dimensional surface. Under the discrete framework described in this article, the surface is divided into discrete regions and movement between regions is modeled as a continuous-time Markov chain. Under the continuous diffusion framework, these regions are subdivided until they become infinitesimal and generalizations of Brownian diffusion are then considered. extension of the basic coalescent model to multiple populations. This method focuses on ancestral population sizes and migration rates between populations." @default.
• W2093464515 created "2016-06-24" @default.
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• W2093464515 date "2010-11-01" @default.
• W2093464515 modified "2023-10-16" @default.
• W2093464515 title "Three roads diverged? Routes to phylogeographic inference" @default.
• W2093464515 cites W121348296 @default.
• W2093464515 cites W1488393970 @default.
• W2093464515 cites W1518146300 @default.
• W2093464515 cites W1519103070 @default.
• W2093464515 cites W1555476426 @default.
• W2093464515 cites W1836702488 @default.
• W2093464515 cites W1882059917 @default.
• W2093464515 cites W1901627773 @default.
• W2093464515 cites W1966380925 @default.
• W2093464515 cites W1967503151 @default.
• W2093464515 cites W1973194618 @default.
• W2093464515 cites W1981152907 @default.
• W2093464515 cites W1983575865 @default.
• W2093464515 cites W1990157150 @default.
• W2093464515 cites W1990358993 @default.
• W2093464515 cites W2005128599 @default.
• W2093464515 cites W2006834210 @default.
• W2093464515 cites W2007172672 @default.
• W2093464515 cites W2008130573 @default.
• W2093464515 cites W2011305835 @default.
• W2093464515 cites W2013410948 @default.
• W2093464515 cites W2017852566 @default.
• W2093464515 cites W2024294228 @default.
• W2093464515 cites W2033182966 @default.
• W2093464515 cites W2037654474 @default.
• W2093464515 cites W2040675064 @default.
• W2093464515 cites W2043257260 @default.
• W2093464515 cites W2052974461 @default.
• W2093464515 cites W2060794808 @default.
• W2093464515 cites W2065785728 @default.
• W2093464515 cites W2070811844 @default.
• W2093464515 cites W2075292410 @default.
• W2093464515 cites W2082414801 @default.
• W2093464515 cites W2088267428 @default.
• W2093464515 cites W2090779920 @default.
• W2093464515 cites W2094206246 @default.
• W2093464515 cites W2094939159 @default.
• W2093464515 cites W2097598501 @default.
• W2093464515 cites W2101091363 @default.
• W2093464515 cites W2102714321 @default.
• W2093464515 cites W2107608009 @default.
• W2093464515 cites W2108301201 @default.
• W2093464515 cites W2108767261 @default.
• W2093464515 cites W2110784409 @default.
• W2093464515 cites W2110835349 @default.
• W2093464515 cites W2111513141 @default.
• W2093464515 cites W2114415740 @default.
• W2093464515 cites W2114825300 @default.
• W2093464515 cites W2118780696 @default.
• W2093464515 cites W2121009566 @default.
• W2093464515 cites W2121112297 @default.
• W2093464515 cites W2122855429 @default.
• W2093464515 cites W2124523537 @default.
• W2093464515 cites W2127688908 @default.
• W2093464515 cites W2130549894 @default.
• W2093464515 cites W2132886879 @default.
• W2093464515 cites W2134819525 @default.
• W2093464515 cites W2135206487 @default.
• W2093464515 cites W2136198635 @default.
• W2093464515 cites W2137035387 @default.
• W2093464515 cites W2137583901 @default.
• W2093464515 cites W2138033144 @default.
• W2093464515 cites W2139166200 @default.
• W2093464515 cites W2142740946 @default.
• W2093464515 cites W2144588718 @default.
• W2093464515 cites W2145522739 @default.
• W2093464515 cites W2146442942 @default.
• W2093464515 cites W2148265072 @default.
• W2093464515 cites W2148723086 @default.
• W2093464515 cites W2153432740 @default.
• W2093464515 cites W2154049270 @default.
• W2093464515 cites W2154284350 @default.
• W2093464515 cites W2156358357 @default.
• W2093464515 cites W2157389871 @default.
• W2093464515 cites W2157451851 @default.
• W2093464515 cites W2159235552 @default.
• W2093464515 cites W2161357278 @default.
• W2093464515 cites W2164418313 @default.
• W2093464515 cites W2168912795 @default.
• W2093464515 cites W2169120848 @default.
• W2093464515 cites W2170486501 @default.
• W2093464515 cites W2183085141 @default.
• W2093464515 cites W2480025817 @default.
• W2093464515 cites W2529800629 @default.
• W2093464515 doi "https://doi.org/10.1016/j.tree.2010.08.010" @default.
• W2093464515 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2956787" @default.
• W2093464515 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20863591" @default.
• W2093464515 hasPublicationYear "2010" @default.
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