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Background: Failure to account for covariation patterns in helical regions of ribosomal RNA (rRNA) genes has the potential to misdirect the estimation of the phylogenetic signal of the data. Furthermore, the extremes of length variation among taxa, combined with regional substitution rate variation can mislead the alignment of rRNA sequences and thus distort subsequent tree reconstructions. However, recent developments in phylogenetic methodology now allow a comprehensive integration of secondary structures in alignment and tree reconstruction analyses based on rRNA sequences, which has been shown to correct some of these problems. Here, we explore the potentials of RNA substitution models and the interactions of specific model setups with the inherent pattern of covariation in rRNA stems and substitution rate variation among loop regions. Results: We found an explicit impact of RNA substitution models on tree reconstruction analyses. The application of specific RNA models in tree reconstructions is hampered by interaction between the appropriate modelling of covarying sites in stem regions, and excessive homoplasy in some loop regions. RNA models often failed to recover reasonable trees when single-stranded regions are excessively homoplastic, because these regions contribute a greater proportion of the data when covarying sites are essentially downweighted. In this context, the RNA6A model outperformed all other models, including the more parametrized RNA7 and RNA16 models. Conclusions: Our results depict a trade-off between increased accuracy in estimation of interdependencies in helical regions with the risk of magnifying positions lacking phylogenetic signal. We can therefore conclude that caution is warranted when applying rRNA covariation models, and suggest that loop regions be independently screened for phylogenetic signal, and eliminated when they are indistinguishable from random noise. In addition to covariation and homoplasy, other factors, like non-stationarity of substitution rates and base compositional heterogeneity, can disrupt the signal of ribosomal RNA data. All these factors dictate sophisticated estimation of evolutionary pattern in rRNA data, just as other molecular data require similarly complicated (but different) corrections. [ABSTRACT FROM AUTHOR]

The leaf beetle genus Trirhabda contains 26 described species from the United States and Canada, feeding on host plants from the families Asteraceae and Hydrophyllaceae. In this study, we present a phylogeny for the genus that was reconstructed from mitochondrial COI and 12S rRNA fragments, nuclear ITS2 rRNA, and morphological characters. Both parsimony and mixed-model Bayesian likelihood analyses were performed. Under both methods, the mitochondrial and nuclear partitions support the same backbone phylogeny, as do the combined data. The utility of the molecular data is contrasted with the low phylogenetic signal among morphological characters. The phylogeny was used to trace the evolution of the host-plant association in Trirhabda. The recovered phylogeny shows that although the host-plant association is phylogenetically conservative, Trirhabda experienced one shift to a distantly related host-plant family, 6 shifts between host-plant tribes, and 6 between genera within tribes. The phylogeny reveals that Trirhabda were plesiomorphically adapted to tolerate complex secondary compounds of its host plants and this adaptation is retained in Trirhabda species, as evidenced by multiple shifts from chemically simpler host plants back to the more complex host plants. [Copyright &y& Elsevier]

The nuclear small subunit rRNA (18S) has played a dominant role in the estimation of relationships among insect orders from molecular data. In previous studies, 18S sequences have been aligned by unadjusted automated approaches (computer alignments that are not manually readjusted), most recently with direct optimization (simultaneous alignment and tree building using a program called "POY"). Parsimony has been the principal optimality criterion. Given the problems associated with the alignment of rRNA, and the recent availability of the doublet model for the analysis of covarying sites using Bayesian MCMC analysis, a different approach is called for in the analysis of these data. In this paper, nucleotide sequence data from the 18S small subunit rRNA gene of insects are aligned manually with reference to secondary structure, and analyzed under Bayesian phylogenetic methods with both GTR+I+G and doublet models in MrBayes. A credible phylogeny of Insecta is recovered that is independent of the morphological data and (unlike many other analyses of 18S in insects) not contradictory to traditional ideas of insect ordinal relationships based on morphology. Hexapoda, including Collembola, are monophyletic. Paraneoptera are the sister taxon to a monophyletic Holometabola but weakly supported. Ephemeroptera are supported as the sister taxon of Neoptera, and this result is interpreted with respect to the evolution of direct sperm transfer and the evolution of flight. Many other relationships are well-supported but several taxa remain problematic, e.g., there is virtually no support for relationships among orthopteroid orders. A website is made available that provides aligned 18S data in formats that include structural symbols and Nexus formats. [ABSTRACT FROM AUTHOR]

Previous phylogenetic analyses of tetrapod 18S ribosomal RNA (rRNA) sequences support the grouping of birds with mammals, whereas other molecular data, and morphological and paleontological data favor the grouping of birds with crocodiles. The 18S rRNA gene has consequently been considered odd, serving as "definitive evidence of different genes providing significantly different estimates of phylogeny in higher organisms" (p. 156; Huelsenbeck et al., 1996, Trends Ecol. Evol. 11:152-158). Our research indicates that the previous discrepancy of phylogenetic results between the 18S rRNA gene and other genes is caused mainly by (1) the misalignment of the sequences, (2) the inappropriate use of the frequency parameters, and (3) poor sequence quality. When the sequences are aligned with the aide of the secondary structure of the 18S rRNA molecule and when the frequency parameters are estimated either from all sites or from the variable domains where substitutions have occurred, the 18S rRNA sequences no longer support the grouping of the avian species with the mammalian species. [alignment; 18S rRNA; RNA secondary structure; Indel; molecular phylogenetics; tetrapod phylogeny. [ABSTRACT FROM AUTHOR]

Trichoptera are holometabolous insects with aquatic larvae that, together with the Lepidoptera, comprise the Amphiesmenoptera. Previous phylogenetic hypotheses and progress on our ongoing data collection are summarized. Fragments of the large and small subunit nuclear ribosomal RNAs (D1, D3, V4–5), the nuclear elongation factor 1 alpha gene and a fragment of mitochondrial cytochrome oxidase 1 (COI) were sequenced, and molecular data were combined with previously published morphological data. Equally and differentially weighted parsimony analyses were conducted in order to present a phylogeny of Trichoptera, including 43 of 45 families. Our phylogeny closely resembles that proposed by Herbert Ross with respect to the relationships among suborders, with a monophyletic Annulipalpia at the base of the tree, and a clade consisting of Spicipalpia plus a monophyletic Integripalpia. The monophyly of Spicipalpia is weakly supported in the combined equally weighted analysis, and Spicipalpia is paraphyletic in the differentially weighted analysis. Within Integripalpia, our phylogeny recovered monophyletic Plenitentoria, Brevitentoria and Sericostomatoidea. Leptoceroidea was unresolved in the equally weighted analysis and monophyletic in the differentially weighted analysis. Within Annulipalpia, we recovered a basal but paraphyletic Philopotamoidea and a monophyletic Hydropsychoidea. [ABSTRACT FROM AUTHOR]