Literature DB >> 19101058

Coalescent genealogy samplers: windows into population history.

Mary K Kuhner1.   

Abstract

Coalescent genealogy samplers attempt to estimate past qualities of a population, such as its size, growth rate, patterns of gene flow or time of divergence from another population, based on samples of molecular data. Genealogy samplers are increasingly popular because of their potential to disentangle complex population histories. In the last decade they have been widely applied to systems ranging from humans to viruses. Findings include detection of unexpected reproductive inequality in fish, new estimates of historical whale abundance, exoneration of humans for the prehistoric decline of bison and inference of a selective sweep on the human Y chromosome. This review summarizes available genealogy-sampler software, including data requirements and limitations on the use of each program.

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Year:  2008        PMID: 19101058      PMCID: PMC4714702          DOI: 10.1016/j.tree.2008.09.007

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  33 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Distinguishing migration from isolation: a Markov chain Monte Carlo approach.

Authors:  R Nielsen; J Wakeley
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

3.  Rise and fall of the Beringian steppe bison.

Authors:  Beth Shapiro; Alexei J Drummond; Andrew Rambaut; Michael C Wilson; Paul E Matheus; Andrei V Sher; Oliver G Pybus; M Thomas P Gilbert; Ian Barnes; Jonas Binladen; Eske Willerslev; Anders J Hansen; Gennady F Baryshnikov; James A Burns; Sergei Davydov; Jonathan C Driver; Duane G Froese; C Richard Harington; Grant Keddie; Pavel Kosintsev; Michael L Kunz; Larry D Martin; Robert O Stephenson; John Storer; Richard Tedford; Sergei Zimov; Alan Cooper
Journal:  Science       Date:  2004-11-26       Impact factor: 47.728

4.  Using temporally spaced sequences to simultaneously estimate migration rates, mutation rate and population sizes in measurably evolving populations.

Authors:  Greg Ewing; Geoff Nicholls; Allen Rodrigo
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

5.  Comparison of Bayesian and maximum-likelihood inference of population genetic parameters.

Authors:  Peter Beerli
Journal:  Bioinformatics       Date:  2005-11-29       Impact factor: 6.937

6.  Comparing likelihood and Bayesian coalescent estimation of population parameters.

Authors:  Mary K Kuhner; Lucian P Smith
Journal:  Genetics       Date:  2006-03-01       Impact factor: 4.562

7.  AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics.

Authors:  Johan A A Nylander; James C Wilgenbusch; Dan L Warren; David L Swofford
Journal:  Bioinformatics       Date:  2007-08-30       Impact factor: 6.937

8.  Ancestral inference from samples of DNA sequences with recombination.

Authors:  R C Griffiths; P Marjoram
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

9.  Sampling theory for neutral alleles in a varying environment.

Authors:  R C Griffiths; S Tavaré
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1994-06-29       Impact factor: 6.237

10.  Contrasting patterns of introgression at X-linked loci across the hybrid zone between subspecies of the European rabbit (Oryctolagus cuniculus).

Authors:  Armando Geraldes; Nuno Ferrand; Michael W Nachman
Journal:  Genetics       Date:  2006-04-02       Impact factor: 4.562

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  82 in total

1.  Comparative genetic structure and demographic history in endemic galapagos weevils.

Authors:  Andrea S Sequeira; Courtney C Stepien; Manisha Sijapati; Lázaro Roque Albelo
Journal:  J Hered       Date:  2011-12-15       Impact factor: 2.645

2.  Sampletrees and Rsampletrees: sampling gene genealogies conditional on SNP genotype data.

Authors:  Kelly M Burkett; Brad McNeney; Jinko Graham
Journal:  Bioinformatics       Date:  2016-01-18       Impact factor: 6.937

3.  Efficient approximate Bayesian computation coupled with Markov chain Monte Carlo without likelihood.

Authors:  Daniel Wegmann; Christoph Leuenberger; Laurent Excoffier
Journal:  Genetics       Date:  2009-06-08       Impact factor: 4.562

4.  How robust are "isolation with migration" analyses to violations of the im model? A simulation study.

Authors:  Jared L Strasburg; Loren H Rieseberg
Journal:  Mol Biol Evol       Date:  2009-09-30       Impact factor: 16.240

Review 5.  Understanding the origin of species with genome-scale data: modelling gene flow.

Authors:  Vitor Sousa; Jody Hey
Journal:  Nat Rev Genet       Date:  2013-05-09       Impact factor: 53.242

6.  Evidence for the equal resilience of Triodia spp. (Poaceae), from different functional groups, to frequent fire dating back to the late Pleistocene.

Authors:  G Armstrong
Journal:  Heredity (Edinb)       Date:  2011-06-15       Impact factor: 3.821

7.  Foraging segregation and genetic divergence between geographically proximate colonies of a highly mobile seabird.

Authors:  Anne E Wiley; Andreanna J Welch; Peggy H Ostrom; Helen F James; Craig A Stricker; Robert C Fleischer; Hasand Gandhi; Josh Adams; David G Ainley; Fern Duvall; Nick Holmes; Darcy Hu; Seth Judge; Jay Penniman; Keith A Swindle
Journal:  Oecologia       Date:  2011-08-12       Impact factor: 3.225

8.  Peak and persistent excess of genetic diversity following an abrupt migration increase.

Authors:  Nicolas Alcala; Daniela Streit; Jérôme Goudet; Séverine Vuilleumier
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

9.  Assessing the genetic landscape of a contact zone: the case of European hare in northeastern Greece.

Authors:  Aglaia Antoniou; Antonios Magoulas; Petros Platis; Georgios Kotoulas
Journal:  Genetica       Date:  2013-02-05       Impact factor: 1.082

Review 10.  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

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