Literature DB >> 17956540

The coup de grâce for the nested clade phylogeographic analysis?

Rémy J Petit1.   

Abstract

Nested clade phylogeographic analysis (NCPA) has become a popular method for reconstructing the history of populations across species ranges. Ever since its invention in 1995, criticisms have been formulated, but the method, which has been regularly updated, continues to attract investigators. Molecular Ecology has published a large fraction of the literature on the topic--both pro and con. A recent study by Panchal and Beaumont (2007) finally allows a precise evaluation of the method by developing software that automates the somewhat complicated NCPA procedure. Using simulations of random-mating populations, Panchal and Beaumont find a high frequency of false-positives with their automated NCPA procedure (over 75%). These findings, which echo and amplify earlier warnings, appear serious enough to suggest to researchers to await further evaluation of the method. Although no other all-encompassing method such as the NCAP currently exists to evaluate phylogeographic data sets, researchers have many alternative methods to test ever more refined hypotheses.

Mesh:

Year:  2007        PMID: 17956540     DOI: 10.1111/j.1365-294X.2007.03589.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  15 in total

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5.  In defence of model-based inference in phylogeography.

Authors:  Mark A Beaumont; Rasmus Nielsen; Christian Robert; Jody Hey; Oscar Gaggiotti; Lacey Knowles; Arnaud Estoup; Mahesh Panchal; Jukka Corander; Mike Hickerson; Scott A Sisson; Nelson Fagundes; Lounès Chikhi; Peter Beerli; Renaud Vitalis; Jean-Marie Cornuet; John Huelsenbeck; Matthieu Foll; Ziheng Yang; Francois Rousset; David Balding; Laurent Excoffier
Journal:  Mol Ecol       Date:  2010-01-11       Impact factor: 6.185

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

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Journal:  Mol Ecol       Date:  2009-01       Impact factor: 6.185

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