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Comparison of phylogenetic signal between male genitalia and non-genital characters in insect systematics.
Song, Hojun; Bucheli, Sibyl R.
Afiliação
  • Song H; Department of Biology, Brigham Young University, Provo, UT 84602, USA.
  • Bucheli SR; Department of Biological Sciences, Sam Houston State University, Huntsville, TX 77341, USA.
Cladistics ; 26(1): 23-35, 2010 Feb.
Article em En | MEDLINE | ID: mdl-34875749
ABSTRACT
It is generally accepted that male genitalia evolve more rapidly and divergently relative to non-genital traits due to sexual selection, but there is little quantitative comparison of the pattern of evolution between these character sets. Moreover, despite the fact that genitalia are still among the most widely used characters in insect systematics, there is an idea that the rate of evolution is too rapid for genital characters to be useful in forming clades. Based on standard measures of fit used in cladistic analyses, we compare levels of homoplasy and synapomorphy between genital and non-genital characters of published data sets and demonstrate that phylogenetic signal between these two character sets is statistically similar. This pattern is found consistently across different insect orders at different taxonomic hierarchical levels. We argue that the fact that male genitalia are under sexual selection and thus diverge rapidly does not necessarily equate with the lack of phylogenetic signal, because characters that evolve by descent with modification make appropriate characters for a phylogenetic analysis, regardless of the rate of evolution. We conclude that male genitalia are a composite character consisting of different components diverging separately, which make them ideal characters for phylogenetic analyses, providing information for resolving varying levels of hierarchy. © The Willi Hennig Society 2009.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2010 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2010 Tipo de documento: Article