title: Mitochondrial versus nuclear gene sequences in deep-level mammalian phylogeny reconstruction.
abstract: Both mitochondrial and nuclear gene sequences have been employed in efforts to reconstruct deep-level phylogenetic relationships. A fundamental question in molecular systematics concerns the efficacy of different types of sequences in recovering clades at different taxonomic levels. We compared the performance of four mitochondrial data sets (cytochrome b, cytochrome oxidase II, NADH dehydrogenase subunit I, 12S rRNA-tRNA-16S rRNA) and eight nuclear data sets (exonic regions of alpha-2B adrenergic receptor, aquaporin, ss-casein, gamma-fibrinogen, interphotoreceptor retinoid binding protein, kappa-casein, protamine, von Willebrand Factor) in recovering deep-level mammalian clades. We employed parsimony and minimum-evolution with a variety of distance corrections for superimposed substitutions. In 32 different pairwise comparisons between these mitochondrial and nuclear data sets, we used the maximum set of overlapping taxa. In each case, the variable-length bootstrap was used to resample at the size of the smaller data set. The nuclear exons consistently performed better than mitochondrial protein and rRNA-tRNA coding genes on a per-residue basis in recovering benchmark clades. We also concatenated nuclear genes for overlapping taxa and made comparisons with concatenated mitochondrial protein-coding genes from complete mitochondrial genomes. The variable-length bootstrap was used to score the recovery of benchmark clades as a function of the number of resampled base pairs. In every case, the nuclear concatenations were more efficient than the mitochondrial concatenations in recovering benchmark clades. Among genes included in our study, the nuclear genes were much less affected by superimposed substitutions. Nuclear genes having appropriate rates of substitution should receive strong consideration in efforts to reconstruct deep-level phylogenetic relationships.
authors.affiliation: Department of Biology, University of California at Riverside, CA 92521, USA. mark.springer@ucr.edu
authors.forename: M S
authors.initials: MS
authors.lastname: Springer
authors.forename: R W
authors.initials: RW
authors.lastname: DeBry
authors.forename: C
authors.initials: C
authors.lastname: Douady
authors.forename: H M
authors.initials: HM
authors.lastname: Amrine
authors.forename: O
authors.initials: O
authors.lastname: Madsen
authors.forename: W W
authors.initials: WW
authors.lastname: de Jong
authors.forename: M J
authors.initials: MJ
authors.lastname: Stanhope
mesh_terms: D000818:Animals; D002467:Cell Nucleus / Q000235:genetics*; D004272:DNA, Mitochondrial / Q000235:genetics*; D019143:Evolution, Molecular; D018740:Genetic Heterogeneity; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D010802:Phylogeny; D012313:RNA / Q000235:genetics*; D012335:RNA, Ribosomal / Q000235:genetics*; D012343:RNA, Transfer / Q000235:genetics*; D012689:Sequence Homology, Nucleic Acid
chemical_list: D004272:DNA, Mitochondrial; D012335:RNA, Ribosomal; D012313:RNA; D012343:RNA, Transfer