Literature DB >> 10833190

Parsimony, likelihood, and the role of models in molecular phylogenetics.

M Steel1, D Penny.   

Abstract

Methods such as maximum parsimony (MP) are frequently criticized as being statistically unsound and not being based on any "model." On the other hand, advocates of MP claim that maximum likelihood (ML) has some fundamental problems. Here, we explore the connection between the different versions of MP and ML methods, particularly in light of recent theoretical results. We describe links between the two methods--for example, we describe how MP can be regarded as an ML method when there is no common mechanism between sites (such as might occur with morphological data and certain forms of molecular data). In the process, we clarify certain historical points of disagreement between proponents of the two methodologies, including a discussion of several forms of the ML optimality criterion. We also describe some additional results that shed light on how much needs to be assumed about underlying models of sequence evolution in order to successfully reconstruct evolutionary trees.

Mesh:

Year:  2000        PMID: 10833190     DOI: 10.1093/oxfordjournals.molbev.a026364

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  39 in total

1.  The metapopulation genetic algorithm: An efficient solution for the problem of large phylogeny estimation.

Authors:  Alan R Lemmon; Michel C Milinkovitch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-25       Impact factor: 11.205

2.  Universal sharing patterns in proteomes and evolution of protein fold architecture and life.

Authors:  Gustavo Caetano-Anollés; Derek Caetano-Anollés
Journal:  J Mol Evol       Date:  2005-04       Impact factor: 2.395

3.  Disentangling linkage disequilibrium and linkage from dense single-nucleotide polymorphism trio data.

Authors:  Geraldine M Clarke; Lon R Cardon
Journal:  Genetics       Date:  2005-08-22       Impact factor: 4.562

4.  The genetic code can cause systematic bias in simple phylogenetic models.

Authors:  Simon Whelan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-27       Impact factor: 6.237

5.  The evolutionary history of the structure of 5S ribosomal RNA.

Authors:  Feng-Jie Sun; Gustavo Caetano-Anollés
Journal:  J Mol Evol       Date:  2009-07-29       Impact factor: 2.395

6.  The ancient history of the structure of ribonuclease P and the early origins of Archaea.

Authors:  Feng-Jie Sun; Gustavo Caetano-Anollés
Journal:  BMC Bioinformatics       Date:  2010-03-24       Impact factor: 3.169

7.  Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets.

Authors:  Arong Luo; Huijie Qiao; Yanzhou Zhang; Weifeng Shi; Simon Yw Ho; Weijun Xu; Aibing Zhang; Chaodong Zhu
Journal:  BMC Evol Biol       Date:  2010-08-09       Impact factor: 3.260

8.  Tracking marsupial evolution using archaic genomic retroposon insertions.

Authors:  Maria A Nilsson; Gennady Churakov; Mirjam Sommer; Ngoc Van Tran; Anja Zemann; Jürgen Brosius; Jürgen Schmitz
Journal:  PLoS Biol       Date:  2010-07-27       Impact factor: 8.029

9.  Multiple molecular evidences for a living mammalian fossil.

Authors:  Dorothée Huchon; Pascale Chevret; Ursula Jordan; C William Kilpatrick; Vincent Ranwez; Paulina D Jenkins; Jürgen Brosius; Jürgen Schmitz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-23       Impact factor: 11.205

10.  Mosaic retroposon insertion patterns in placental mammals.

Authors:  Gennady Churakov; Jan Ole Kriegs; Robert Baertsch; Anja Zemann; Jürgen Brosius; Jürgen Schmitz
Journal:  Genome Res       Date:  2009-03-04       Impact factor: 9.043

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