Molecular data offer great potential to resolve the phylogeny of living taxa but can molecular data improve our understanding of relationships of fossil taxa? Simulations suggest that this is possible, but few empirical examples have demonstrated the ability of molecular data to change the placement of fossil taxa. We offer such an example here. We analyze the placement of snakes among squamate reptiles, combining published morphological data (363 characters) and new DNA sequence data (15,794 characters, 22 nuclear loci) for 45 living and 19 fossil taxa. We find several intriguing results. First, some fossil taxa undergo major changes in their phylogenetic position when molecular data are added. Second, most fossil taxa are placed with strong support in the expected clades by the combined data Bayesian analyses, despite each having >98% missing cells and despite recent suggestions that extensive missing data are problematic for Bayesian phylogenetics. Third, morphological data can change the placement of living taxa in combined analyses, even when there is an overwhelming majority of molecular characters. Finally, we find strong but apparently misleading signal in the morphological data, seemingly associated with a burrowing lifestyle in snakes, amphisbaenians, and dibamids. Overall, our results suggest promise for an integrated and comprehensive Tree of Life by combining molecular and morphological data for living and fossil taxa.
The treefrogs (Hylidae) make up one of the most species-rich families of amphibians. With 885 species currently described, they contain >13% of all amphibian species. In recent years, there has been considerable progress in resolving hylid phylogeny. However, the most comprehensive phylogeny to date (Wiens et al., 2006) included only 292 species, was based only on parsimony, provided only poor support for most higher-level relationships, and conflicted with previous hypotheses in several parts (including the monophyly and relationships of major clades of Hylinae). Here, we present an expanded phylogeny for hylid frogs, including data for 362 hylid taxa for up to 11 genes (4 mitochondrial, 7 nuclear), including 70 additional taxa and >270 sequences not included in the previously most comprehensive analysis. The new tree from maximum likelihood analysis is more well-resolved, strongly supported, and concordant with previous hypotheses, and provides a framework for future systematic, biogeographic, ecological, and evolutionary studies.
Do phylogenies and branch lengths based on mitochondrial DNA (mtDNA) provide a reasonable approximation to those based on multiple nuclear loci? In the present study, we show widespread discordance between phylogenies based on mtDNA (two genes) and nuclear DNA (nucDNA; six loci) in a phylogenetic analysis of the turtle family Emydidae. We also find an unusual type of discordance involving the unexpected homogeneity of mtDNA sequences across species within genera. Of the 36 clades in the combined nucDNA phylogeny, 24 are contradicted by the mtDNA phylogeny, and six are strongly contested by each data set. Two genera (Graptemys, Pseudemys) show remarkably low mtDNA divergence among species, whereas the combined nuclear data show deep divergences and (for Pseudemys) strongly supported clades. These latter results suggest that the mitochondrial data alone are highly misleading about the rate of speciation in these genera and also about the species status of endangered Graptemys and Pseudemys species. In addition, despite a strongly supported phylogeny from the combined nuclear genes, we find extensive discordance between this tree and individual nuclear gene trees. Overall, the results obtained illustrate the potential dangers of making inferences about phylogeny, speciation, divergence times, and conservation from mtDNA data alone (or even from single nuclear genes), and suggest the benefits of using large numbers of unlinked nuclear loci.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.