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In this report, we document the presence of polynucleotide phosphorylase (PNPase) in the animal eukaryotes. These proteins contain several domains, including 2 RNase PH domains (PNPase 1 and PNPase 2) which are closely related functionally and in sequence similarity to ribonuclease PH (RPH) protein. Phylogenetic analysis of the gene genealogy of these three domains suggests that PNPase was formed via a duplication event that also produced the RNase PH protein. Given the current distribution of these domains in the tree of life, these duplication events most likely occurred in the common ancestor of the three organismal superkingdoms, Archaea, Eukarya, and Bacteria. In particular, PNPase 2 and RPH are more closely related to each other than either one is to PNPase 1, suggesting a deeper differentiation of PNPase 1 in the common organismal ancestor. In addition, while PNPase 1 and PNPase 2 appear to have the same evolutionary signal as determined by the incongruence length difference (ILD) test, RPH appears to have an incongruent signal with both of the PNPase domains. This result suggests that RPH experienced different evolutionary divergence patterns than the PNPase domains, consistent with the linked nature of the two PNPase domains. [Copyright &y& Elsevier]

Abstract: Suprafamilial relationships among characiform fishes and implications for the taxonomy and biogeographic history of the Characiformes were investigated by parsimony analysis of four nuclear and two mitochondrial genes across 124 ingroup and 11 outgroup taxa. Simultaneous analysis of 3660 aligned base pairs from the mitochondrial 16S and cytochrome b genes and the nuclear recombination activating gene (RAG2), seven in absentia (sia), forkhead (fkh), and α-tropomyosin (trop) gene loci confirmed the non-monophyly of the African and Neotropical assemblages and corroborated many suprafamilial groups proposed previously on the basis of morphological features. The African distichodontids plus citharinids were strongly supported as a monophyletic Citharinoidei that is the sistergroup to all other characiforms, which form a monophyletic Characoidei composed of two large clades. The first represents an assemblage of both African and Neotropical taxa, wherein a monophyletic African Alestidae is sister to a smaller clade comprised of the Neotropical families Ctenolucidae, Lebiasinidae, and the African Hepsetidae, with that assemblage sister to a strictly Neotropical clade comprised of the Crenuchidae and Erythrinidae. The second clade within the Characoidei is strictly Neotropical and includes all other Characiformes grouped into two well supported major clades. The first, corresponding to a traditional definition of the Characidae, is congruent with some groupings previously supported by morphological evidence. The second clade comprises a monophyletic Anostomoidea that is sister to a clade formed by the families Hemiodontidae, Parodontidae, and Serrasalmidae, with that assemblage, in turn, the sistergroup of the Cynodontidae. Serrasalmidae, traditionally regarded as a subfamily of Characidae, was recovered as the sistergroup of (Anostomoidea (Parodontidae+Hemiodontidae)) and the family Cynodontidae was recovered with strong support as the sistergroup to this assemblage. Our results reveal three instances of trans-continental sistergroup relationships and, in light of the fossil evidence, suggest that marine dispersal cannot be ruled out a priori and that a simple model of vicariance does not readily explain the biogeographic history of the characiform fishes. [Copyright &y& Elsevier]

When novel gene sequences are discovered, they are usually identified, classified, and annotated based on aggregate measures of sequence similarity. This method is prone to errors, however. Phylogenetic analysis is a more accurate basis for gene classification and ortholog identification, but it is relatively labor-intensive and computationally demanding. Here we report and demonstrate a rapid new method for gene classification based on phylogenetic principles. Given the phylogeny of a minimal sample of gene family members, our method automatically identifies amino acids that are phylogenetically characteristic of each class of sequences in the family; it then classifies a novel sequence based on the presence of these characteristic attributes in its sequence. Using a subset of homeobox protein sequences as a test case, we show that our method approximates classification based on full-scale phylogenetic analysis with very high accuracy in a tiny fraction of the time. [Copyright &y& Elsevier]