Literature DB >> 11943092

Molecular systematics of the Eastern Fence Lizard (Sceloporus undulatus): a comparison of Parsimony, Likelihood, and Bayesian approaches.

Adam D Leaché1, Tod W Reeder.   

Abstract

Phylogenetic analysis of large datasets using complex nucleotide substitution models under a maximum likelihood framework can be computationally infeasible, especially when attempting to infer confidence values by way of nonparametric bootstrapping. Recent developments in phylogenetics suggest the computational burden can be reduced by using Bayesian methods of phylogenetic inference. However, few empirical phylogenetic studies exist that explore the efficiency of Bayesian analysis of large datasets. To this end, we conducted an extensive phylogenetic analysis of the wide-ranging and geographically variable Eastern Fence Lizard (Sceloporus undulatus). Maximum parsimony, maximum likelihood, and Bayesian phylogenetic analyses were performed on a combined mitochondrial DNA dataset (12S and 16S rRNA, ND1 protein-coding gene, and associated tRNA; 3,688 bp total) for 56 populations of S. undulatus (78 total terminals including other S. undulatus group species and outgroups). Maximum parsimony analysis resulted in numerous equally parsimonious trees (82,646 from equally weighted parsimony and 335 from weighted parsimony). The majority rule consensus tree derived from the Bayesian analysis was topologically identical to the single best phylogeny inferred from the maximum likelihood analysis, but required approximately 80% less computational time. The mtDNA data provide strong support for the monophyly of the S. undulatus group and the paraphyly of "S. undulatus" with respect to S. belli, S. cautus, and S. woodi. Parallel evolution of ecomorphs within "S. undulatus" has masked the actual number of species within this group. This evidence, along with convincing patterns of phylogeographic differentiation suggests "S. undulatus" represents at least four lineages that should be recognized as evolutionary species.

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Year:  2002        PMID: 11943092     DOI: 10.1080/106351502753475871

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


  61 in total

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Authors:  Viviana Nagy; Verena Seidl; George Szakacs; Monika Komoń-Zelazowska; Christian P Kubicek; Irina S Druzhinina
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10.  Genetically closely related but phenotypically divergent Trichoderma species cause green mold disease in oyster mushroom farms worldwide.

Authors:  Monika Komon-Zelazowska; John Bissett; Doustmorad Zafari; Lóránt Hatvani; László Manczinger; Sheri Woo; Matteo Lorito; László Kredics; Christian P Kubicek; Irina S Druzhinina
Journal:  Appl Environ Microbiol       Date:  2007-09-07       Impact factor: 4.792

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