Molecular Phylogeny of the Subfamily Tephritinae (Diptera: Tephritidae) Based on Mitochondrial 16S rDNA Sequences

  • Han, Ho-Yeon (Department of Life Science, College of Liberal Arts and Sciences, Yonsei University) ;
  • Ro, Kyung-Eui (Department of Life Science, College of Liberal Arts and Sciences, Yonsei University) ;
  • McPheron, Bruce A. (Department of Entomology, Pennsylvania State University)
  • Received : 2006.04.15
  • Accepted : 2006.06.27
  • Published : 2006.08.31

Abstract

The phylogeny of the subfamily Tephritinae (Diptera: Tephritidae) was reconstructed from mitochondrial 16S ribosomal RNA gene sequences using 53 species representing 11 currently recognized tribes of the Tephritinae and 10 outgroup species. The minimum evolution and Bayesian trees suggested the following phylogenetic relationships: (1) monophyly of the Tephritinae was strongly supported; (2) a sister group relationship between the Tephritinae and Plioreocepta was supported by the Bayesian tree; (3) the tribes Tephrellini, Myopitini, and Terelliini (excluding Neaspilota) were supported as monophyletic groups; (4) the non-monophyletic nature of the tribes Dithrycini, Eutretini, Noeetini, Tephritini, Cecidocharini, and Xyphosiini; and (5) recognition of 10 putative tribal groups, most of which were supported strongly by the statistical tests of the interior branches. Our results, therefore, convincingly suggest that an extensive rearrangement of the tribal classification of the Tephritinae is necessary. Since our sampling of taxa heavily relied on the current accepted classification, some lineages identified by the present study were severely under-sampled and other possible major lineages of the Tephritinae were probably not even represented in our dataset. We believe that our results provide baseline information for a more rigorous sampling of additional taxa representing all possible major lineages of the subfamily, which is essential for a comprehensive revision of the tephritine tribal classification.

Keywords

Acknowledgement

Supported by : Korea Research Foundation

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