Hierarchical analysis of variation in the mitochondrial 16S rRNA gene among Hymenoptera.

Publication Type:Journal Article
Year of Publication:1998
Authors:J. B. Whitfield, Cameron S. A.
Journal:Molecular biology and evolution
Volume:15
Issue:12
Pagination:1728-1743
Accession Number:9866207
Keywords:16S, 16S: genetics, Animals, Base Sequence, DNA, evolution, Genetic Variation, Hymenoptera, Hymenoptera: classification, Hymenoptera: genetics, Mitochondrial, Mitochondrial: chemistry, Mitochondrial: genetics, Molecular, Molecular Sequence Data, Nucleic Acid Conformation, phylogeny, Ribosomal, Ribosomal: chemistry, Ribosomal: genetics, RNA, Wasps, Wasps: classification, Wasps: genetics
Abstract:

Nucleotide sequences from a 434-bp region of the 16S rRNA gene were analyzed for 65 taxa of Hymenoptera (ants, bees, wasps, parasitoid wasps, sawflies) to examine the patterns of variation within the gene fragment and the taxonomic levels for which it shows maximum utility in phylogeny estimation. A hierarchical approach was adopted in the study through comparison of levels of sequence variation among taxa at different taxonomic levels. As previously reported for many holometabolous insects, the 16S data reported here for Hymenoptera are highly AT-rich and exhibit strong site-to-site variation in substitution rate. More precise estimates of the shape parameter (alpha) of the gamma distribution and the proportion of invariant sites were obtained in this study by employing a reference phylogeny and utilizing maximum-likelihood estimation. The effectiveness of this approach to recovering expected phylogenies of selected hymenopteran taxa has been tested against the use of maximum parsimony. This study finds that the 16S gene is most informative for phylogenetic analysis at two different levels: among closely related species or populations, and among tribes, subfamilies, and families. Maximization of the phylogenetic signal extracted from the 16S gene at higher taxonomic levels may require consideration of the base composition bias and the site-to-site rate variation in a maximum-likelihood framework.

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