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Type: Journal article
Title: Phylogenetic approaches for the analysis of mitochondrial genome sequence data in the Hymenoptera - A lineage with both rapidly and slowly evolving mitochondrial genomes
Author: Dowton, M.
Cameron, S.
Austin, A.
Whiting, M.
Citation: Molecular Phylogenetics and Evolution, 2009; 52(2):512-519
Publisher: Academic Press Inc Elsevier Science
Issue Date: 2009
ISSN: 1055-7903
Statement of
Mark Dowton, Stephen L. Cameron, Andy D. Austinc and Michael F. Whiting
Abstract: We entirely sequenced two new hymenopteran mitochondrial genomes (Cephus cinctus and Orussus occidentalis), and a substantial portion of another three hymenopterans (Schlettererius cinctipes, Venturia canescens, and Enicospilus). We analyze them together with nine others reported in the literature. We establish that the rate of genetic divergence is two to three times higher among some Hymenoptera when compared with others, making this a group with both long and short phylogenetic branches. We then assessed the ability of a range of phylogenetic approaches to recover seven uncontroversial relationships, when lineages show markedly different rates of molecular evolution. This range encompassed maximum parsimony and Bayesian analysis of (i) amino acid data, (ii) nucleotide data, and (iii) nucleotide data excluding third codon positions. Unpartitioned analyses were compared with partitioned analyses, with the data partitioned by codon position (ribosomal genes were placed in a separate partition). These analyses indicated that partitioned, Bayesian analysis of nucleotide data, excluding 3rd codon positions, recovered more of the uncontroversial relationships than any other approach. These results suggest that the analysis of complete mitochondrial genome sequences holds promise for the resolution of hymenopteran superfamily relationships.
Keywords: Animals
DNA, Mitochondrial
Bayes Theorem
Sequence Alignment
Sequence Analysis, DNA
Evolution, Molecular
Models, Genetic
Genome, Mitochondrial
Description: Copyright © 2009 Elsevier Inc. All rights reserved.
DOI: 10.1016/j.ympev.2009.04.001
Grant ID: ARC
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Appears in Collections:Aurora harvest
Earth and Environmental Sciences publications
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