4.7 Article

Assessing phylogenetic resolution among mitochondrial, nuclear, and morphological datasets in Nothonotus darters (Teleostei: Percidae)

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MOLECULAR PHYLOGENETICS AND EVOLUTION
卷 46, 期 2, 页码 708-720

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ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ympev.2007.08.015

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nuclear gene phylogeny; combined data phylogenetics; darters; Percidae; Etheostoma; Nothonotus

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External morphological characters are the basis of our understanding of diversity and species relationships in many darter clades. The past decade has seen the publication of many studies utilizing rntDNA sequence data to investigate darter phylogenetics, but only recently have nuclear genes been used to investigate darter relationships. Despite a long tradition of use in darter systematics few studies have examined the phylogenetic utility of external morphological characters in estimating relationships among species in darter clades. We present DNA sequence data from the mitochondrial cytochrome b (cytb) gene, the nuclear encoded S7 intron 1, and discretely coded external morphological characters for all 20 species in the darter clade Nothonotus. Bayesian phylogenetic analyses result in phylogenies that are in broad agreement with previous studies. The cytb gene tree is well resolved, while the nuclear S7 gene tree lacks phylogenetic resolution, node support, and is characterized by a lack of reciprocal monophyly for many of the Nothonotus species. The phylogenies resulting from analysis of the morphological dataset lack resolution, but nodes present are found in the cytb and S7 gene trees. The highest resolution and node support is found in the Bayesian combined data phylogeny. Based on our results we propose continued exploration of the phylogenetic utility of external morphological characters in other darter clades. Given the extensive lack of reciprocal monophyly of species observed in the S7 gene tree we predict that nuclear gene sequences may have limited utility in intraspecific phylogeographic studies of Nothonotus darters. (C) 2007 Elsevier Inc. All rights reserved.

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