Literature DB >> 18686193

A likelihood framework for estimating phylogeographic history on a continuous landscape.

Alan R Lemmon1, Emily Moriarty Lemmon.   

Abstract

Due to lack of an adequate statistical framework, biologists studying phylogeography are abandoning traditional methods of estimating phylogeographic history in favor of statistical methods designed to test a priori hypotheses. These new methods may, however, have limited descriptive utility. Here, we develop a new statistical framework that can be used to both test a priori hypotheses and estimate phylogeographic history of a gene (and the statistical confidence in that history) in the absence of such hypotheses. The statistical approach concentrates on estimation of geographic locations of the ancestors of a set of sampled organisms. Now we use (2) to derive the likelihood of the ancestral geographic coordinates and the value of the scaled dispersal parameter, given the observed geographic coordinates (assuming known topology and branch lengths). Using a maximum likelihood approach, which is implemented in the new program PhyloMapper, we apply this statistical framework to a 246-taxon mitochondrial genealogy of North American chorus frogs, focusing in detail on one of these species. We demonstrate three lines of evidence for recent northward expansion of the mitochondrion of the coastal clade of Pseudacris feriarum: higher per-generation dispersal distance in the recently colonized region, a noncentral ancestral location, and directional migration. After illustrating one method of accommodating phylogenetic uncertainty, we conclude by discussing how extensions of this framework could function to incorporate a priori ecological and geological information into phylogeographic analyses.

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Year:  2008        PMID: 18686193     DOI: 10.1080/10635150802304761

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  34 in total

1.  Historical Biogeography Using Species Geographical Ranges.

Authors:  Ignacio Quintero; Petr Keil; Walter Jetz; Forrest W Crawford
Journal:  Syst Biol       Date:  2015-08-08       Impact factor: 15.683

2.  Bayesian analysis of biogeography when the number of areas is large.

Authors:  Michael J Landis; Nicholas J Matzke; Brian R Moore; John P Huelsenbeck
Journal:  Syst Biol       Date:  2013-06-04       Impact factor: 15.683

3.  Phylogeography takes a relaxed random walk in continuous space and time.

Authors:  Philippe Lemey; Andrew Rambaut; John J Welch; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-03-04       Impact factor: 16.240

4.  Biogeographic Dating of Speciation Times Using Paleogeographically Informed Processes.

Authors:  Michael J Landis
Journal:  Syst Biol       Date:  2017-03-01       Impact factor: 15.683

5.  Three roads diverged? Routes to phylogeographic inference.

Authors:  Erik W Bloomquist; Philippe Lemey; Marc A Suchard
Journal:  Trends Ecol Evol       Date:  2010-09-20       Impact factor: 17.712

Review 6.  Emerging Concepts of Data Integration in Pathogen Phylodynamics.

Authors:  Guy Baele; Marc A Suchard; Andrew Rambaut; Philippe Lemey
Journal:  Syst Biol       Date:  2017-01-01       Impact factor: 15.683

Review 7.  Inference of population history by coupling exploratory and model-driven phylogeographic analyses.

Authors:  Ryan C Garrick; Adalgisa Caccone; Paul Sunnucks
Journal:  Int J Mol Sci       Date:  2010-03-24       Impact factor: 5.923

8.  A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants.

Authors:  Jacob van Etten; Robert J Hijmans
Journal:  PLoS One       Date:  2010-08-11       Impact factor: 3.240

9.  Hierarchical Hybrid Enrichment: Multitiered Genomic Data Collection Across Evolutionary Scales, With Application to Chorus Frogs (Pseudacris).

Authors:  Sarah E Banker; Alan R Lemmon; Alyssa Bigelow Hassinger; Mysia Dye; Sean D Holland; Michelle L Kortyna; Oscar E Ospina; Hannah Ralicki; Emily Moriarty Lemmon
Journal:  Syst Biol       Date:  2020-07-01       Impact factor: 15.683

10.  Statistical hypothesis testing in intraspecific phylogeography: nested clade phylogeographical analysis vs. approximate Bayesian computation.

Authors:  Alan R Templeton
Journal:  Mol Ecol       Date:  2009-01       Impact factor: 6.185

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